diff --git a/apps/sim/lib/knowledge/__integration__/connector-lease-pages.integration.ts b/apps/sim/lib/knowledge/__integration__/connector-lease-pages.integration.ts index 9da5961aa1f..5d43aa41e3b 100644 --- a/apps/sim/lib/knowledge/__integration__/connector-lease-pages.integration.ts +++ b/apps/sim/lib/knowledge/__integration__/connector-lease-pages.integration.ts @@ -120,7 +120,7 @@ describe('connector lease ACL pages in PostgreSQL', () => { RETURN NEW; END $$`) ) - for (const projection of ['embedding_search', 'embedding_keyword_tin']) { + for (const projection of ['embedding_search']) { await db.execute( sql.raw(`DROP TRIGGER IF EXISTS log_lease_page_projection_write ON ${projection}`) ) @@ -151,7 +151,7 @@ describe('connector lease ACL pages in PostgreSQL', () => { await db.execute(sql`DROP FUNCTION IF EXISTS log_lease_page_acl_write()`) await db.execute(sql`DROP FUNCTION IF EXISTS fail_after_acl_writes()`) await db.execute(sql`DROP TABLE IF EXISTS lease_page_acl_writes`) - for (const projection of ['embedding_search', 'embedding_keyword_tin']) + for (const projection of ['embedding_search']) await db.execute( sql.raw(`DROP TRIGGER IF EXISTS log_lease_page_projection_write ON ${projection}`) ) @@ -300,13 +300,7 @@ describe('connector lease ACL pages in PostgreSQL', () => { ) for (let offset = 0; offset < rows.length; offset += 200) await db.insert(embedding).values(rows.slice(offset, offset + 200)) - /** - * Each chunk's projection rows, filled from its document as the backfill leaves them. The - * embedding insert writes the vector projection's row; the keyword projection's own sync - * trigger ships with the Tin migration, which a database without Tin skips. The fixture sets - * the filled state itself, whatever triggers an earlier suite left behind; what is under - * test is the document trigger that rewrites these rows. - */ + /** Seeds the filled vector state whose ACL updates must stay bounded. */ const chunkIds = sql.join( documents.map((entry) => sql`${entry.id}`), sql`, ` @@ -314,11 +308,6 @@ describe('connector lease ACL pages in PostgreSQL', () => { await db.execute(sql` UPDATE embedding_search p SET enabled = true, connector_id = d.connector_id, acl = d.acl FROM document d WHERE d.id = p.document_id AND d.id IN (${chunkIds})`) - await db.execute(sql` - INSERT INTO embedding_keyword_tin (id, knowledge_base_id, document_id, enabled, content, connector_id, acl) - SELECT e.id, e.knowledge_base_id, e.document_id, true, e.content, d.connector_id, d.acl - FROM embedding e JOIN document d ON d.id = e.document_id WHERE e.document_id IN (${chunkIds}) - ON CONFLICT (id) DO UPDATE SET enabled = true, connector_id = EXCLUDED.connector_id, acl = EXCLUDED.acl`) /** Only writes made by the code under test are counted. */ await db.execute(sql`DELETE FROM lease_page_projection_writes`) await db @@ -337,10 +326,7 @@ describe('connector lease ACL pages in PostgreSQL', () => { db.execute<{ projection: string; acl: string | null; expected: string }>(sql` SELECT 'embedding_search' AS projection, array_to_string(p.acl, ',') AS acl, array_to_string(d.acl, ',') AS expected - FROM embedding_search p JOIN document d ON d.id = p.document_id WHERE d.connector_id = ${connectorId} - UNION ALL - SELECT 'embedding_keyword_tin', array_to_string(p.acl, ','), array_to_string(d.acl, ',') - FROM embedding_keyword_tin p JOIN document d ON d.id = p.document_id WHERE d.connector_id = ${connectorId}`) + FROM embedding_search p JOIN document d ON d.id = p.document_id WHERE d.connector_id = ${connectorId}`) /** Projection rows each transaction rewrote, per table. */ const projectionRowsPerTransaction = async () => @@ -354,7 +340,7 @@ describe('connector lease ACL pages in PostgreSQL', () => { const seeded = await seedDocuments(ids.connectorId, [alice()], 30) await seedChunks(seeded) const before = [...(await projectionAcls(ids.connectorId))] - expect(before).toHaveLength(2 * 30 * CHUNKS) + expect(before).toHaveLength(30 * CHUNKS) await expect( persistDocumentAcls( @@ -367,7 +353,7 @@ describe('connector lease ACL pages in PostgreSQL', () => { const after = [...(await projectionAcls(ids.connectorId))] expect(after.filter((row) => row.acl !== bob() || row.expected !== bob())).toEqual([]) const perTransaction = await projectionRowsPerTransaction() - expect(perTransaction.reduce((total, rows) => total + rows, 0)).toBe(2 * 30 * CHUNKS) + expect(perTransaction.reduce((total, rows) => total + rows, 0)).toBe(30 * CHUNKS) expect(Math.max(...perTransaction)).toBeLessThanOrEqual(PROJECTION_ROW_BATCH_SIZE) }) @@ -384,7 +370,7 @@ describe('connector lease ACL pages in PostgreSQL', () => { ).resolves.toBe(true) const after = [...(await projectionAcls(members.connectorId))] - expect(after).toHaveLength(2 * 30 * CHUNKS) + expect(after).toHaveLength(30 * CHUNKS) expect(after.filter((row) => row.acl !== '' || row.expected !== '')).toEqual([]) expect(Math.max(...(await projectionRowsPerTransaction()))).toBeLessThanOrEqual( PROJECTION_ROW_BATCH_SIZE diff --git a/apps/sim/lib/knowledge/__integration__/knowledge-projection.integration.ts b/apps/sim/lib/knowledge/__integration__/knowledge-projection.integration.ts index 3b9f4f8a174..794e3f512e4 100644 --- a/apps/sim/lib/knowledge/__integration__/knowledge-projection.integration.ts +++ b/apps/sim/lib/knowledge/__integration__/knowledge-projection.integration.ts @@ -8,7 +8,6 @@ import { import { document, embedding, - embeddingKeywordSearch, embeddingKeywordTin, embeddingSearch, knowledgeBase, @@ -123,6 +122,25 @@ afterAll(async () => { }) describe('ordinary KB vector repair after indexed Search retirement', () => { + it('keeps canonical chunk writes after the retired keyword projection is removed', async () => { + const [relations] = + await projector`SELECT to_regclass('public.embedding_keyword_search') AS keyword` + expect(relations.keyword).toBeNull() + const chunk = chunkRow(generateId(), 0) + await db.insert(embedding).values(chunk) + await db + .update(embedding) + .set({ content: 'updated searchable text' }) + .where(eq(embedding.id, chunk.id)) + const [canonical] = + await projector`SELECT content_tsv @@ plainto_tsquery('english', 'searchable') AS matches + FROM embedding WHERE id = ${chunk.id}` + expect(canonical.matches).toBe(true) + expect((await vectorsOf()).map((row) => row.id)).toEqual([chunk.id]) + await db.delete(embedding).where(eq(embedding.id, chunk.id)) + expect(await vectorsOf()).toEqual([]) + }) + it('repairs deferred vectors in bounded pages without creating copied ACL or keyword rows', async () => { const chunks = Array.from({ length: 5 }, (_, index) => chunkRow(generateId(), index)) await defer((tx) => tx.insert(embedding).values(chunks)) @@ -143,12 +161,6 @@ describe('ordinary KB vector repair after indexed Search retirement', () => { (row) => row.vector512?.[511] === 1 && row.acl === null && row.connectorId === null ) ).toBe(true) - expect( - await db - .select() - .from(embeddingKeywordSearch) - .where(eq(embeddingKeywordSearch.documentId, documentId)) - ).toEqual([]) expect( await db .select() @@ -167,12 +179,6 @@ describe('ordinary KB vector repair after indexed Search retirement', () => { expect(await markOf(searchDocumentId)).toMatchObject({ content: true }) await runKnowledgeProjection(projector, {}) expect(await vectorsOf(searchDocumentId)).toEqual([]) - expect( - await db - .select() - .from(embeddingKeywordSearch) - .where(eq(embeddingKeywordSearch.documentId, searchDocumentId)) - ).toEqual([]) expect( await db .select() diff --git a/apps/sim/lib/knowledge/__integration__/search-latency.integration.ts b/apps/sim/lib/knowledge/__integration__/search-latency.integration.ts index 270e642001e..41e4687fe58 100644 --- a/apps/sim/lib/knowledge/__integration__/search-latency.integration.ts +++ b/apps/sim/lib/knowledge/__integration__/search-latency.integration.ts @@ -685,7 +685,6 @@ describe.skipIf(!enabled)('Knowledge search latency on a realistic indexed corpu await db.execute(sql`ANALYZE document`) await db.execute(sql`ANALYZE embedding`) await db.execute(sql`ANALYZE embedding_search`) - await db.execute(sql`ANALYZE embedding_keyword_search`) if (evictSharedBuffers) await db.execute(sql`CREATE EXTENSION IF NOT EXISTS pg_buffercache`) report.server = ( await db.execute(sql`SELECT version(), current_setting('work_mem') AS work_mem, diff --git a/apps/sim/lib/knowledge/__integration__/workspace-kb-document-access.integration.ts b/apps/sim/lib/knowledge/__integration__/workspace-kb-document-access.integration.ts index 85be5ca3113..af42f093157 100644 --- a/apps/sim/lib/knowledge/__integration__/workspace-kb-document-access.integration.ts +++ b/apps/sim/lib/knowledge/__integration__/workspace-kb-document-access.integration.ts @@ -17,7 +17,6 @@ import { credentialGroupEnrollment, document, embedding, - embeddingKeywordSearch, embeddingSearch, knowledgeBase, knowledgeConnector, @@ -135,9 +134,6 @@ describe.each([ .update(embeddingSearch) .set({ acl: ['s:nobody:-:stale'], connectorId: null }) .where(eq(embeddingSearch.knowledgeBaseId, baseId)) - await db - .delete(embeddingKeywordSearch) - .where(eq(embeddingKeywordSearch.knowledgeBaseId, baseId)) }) afterAll(async () => { diff --git a/apps/sim/lib/knowledge/connectors/detachment.test.ts b/apps/sim/lib/knowledge/connectors/detachment.test.ts index 6bfdecd7ca7..e6c7d3ed883 100644 --- a/apps/sim/lib/knowledge/connectors/detachment.test.ts +++ b/apps/sim/lib/knowledge/connectors/detachment.test.ts @@ -1,10 +1,4 @@ -import { - document, - embeddingKeywordTin, - embeddingSearch, - knowledgeBase, - knowledgeConnector, -} from '@sim/db/schema' +import { document, embeddingSearch, knowledgeBase, knowledgeConnector } from '@sim/db/schema' import { dbChainMockFns, queueTableRows, resetDbChainMock } from '@sim/testing' import { billingStorageMock, billingStorageMockFns } from '@sim/testing/mocks/billing-storage.mock' import { @@ -68,12 +62,10 @@ function queueBatch(documentIds: string[], reservedBytes = 0) { } /** Row ids the projection release returns, in the order the handler updates the tables. */ -function releaseProjectionRows(searchRows: number, keywordRows: number) { +function releaseProjectionRows(searchRows: number) { const rows = (count: number) => Array.from({ length: count }, (_, index) => ({ id: `c-${index}` })) - dbChainMockFns.returning - .mockResolvedValueOnce(rows(searchRows)) - .mockResolvedValueOnce(rows(keywordRows)) + dbChainMockFns.returning.mockResolvedValueOnce(rows(searchRows)) } function updatedTables() { @@ -92,7 +84,7 @@ describe('connector detachment', () => { it('releases documents against the reservation, then settles what remains with the connector', async () => { queueBatch(['doc-1', 'doc-2'], 25) - releaseProjectionRows(3, 3) + releaseProjectionRows(3) dbChainMockFns.returning.mockResolvedValueOnce([ { fileSize: 10, deletedAt: null }, { fileSize: 5, deletedAt: new Date('2026-09-01T00:00:00.000Z') }, @@ -108,12 +100,7 @@ describe('connector detachment', () => { context() ) - expect(updatedTables()).toEqual([ - embeddingSearch, - embeddingKeywordTin, - document, - knowledgeConnector, - ]) + expect(updatedTables()).toEqual([embeddingSearch, document, knowledgeConnector]) expect(dbChainMockFns.set).toHaveBeenCalledWith({ connectorId: null }) expect(dbChainMockFns.set).toHaveBeenCalledWith( expect.objectContaining({ connectorId: null, deletedAt: expect.anything() }) @@ -131,7 +118,7 @@ describe('connector detachment', () => { it('keeps documents attached until their search rows fit one page, without spending retries', async () => { for (let batch = 0; batch < 4; batch++) { queueBatch(['doc-1']) - releaseProjectionRows(250, 0) + releaseProjectionRows(250) } expect(await detachKnowledgeConnector(payload, context())).toMatchObject({ diff --git a/apps/sim/lib/knowledge/connectors/detachment.ts b/apps/sim/lib/knowledge/connectors/detachment.ts index 357329767f6..3fe89ad6ad2 100644 --- a/apps/sim/lib/knowledge/connectors/detachment.ts +++ b/apps/sim/lib/knowledge/connectors/detachment.ts @@ -1,12 +1,6 @@ import { db } from '@sim/db' import { PROJECTION_ROW_BATCH_SIZE } from '@sim/db/knowledge-projection' -import { - document, - embeddingKeywordTin, - embeddingSearch, - knowledgeBase, - knowledgeConnector, -} from '@sim/db/schema' +import { document, embeddingSearch, knowledgeBase, knowledgeConnector } from '@sim/db/schema' import { and, asc, eq, inArray, isNotNull, lt, ne, sql } from 'drizzle-orm' import { z } from 'zod' import { @@ -78,8 +72,6 @@ export function keptDocumentBytes() { END` } -const SEARCH_PROJECTIONS = [embeddingSearch, embeddingKeywordTin] as const - /** * Settles what is left of a detached connector's reservation: an unreleased remainder is refunded, * and an overdraft, released bytes beyond what removal charged, is charged as already admitted. @@ -196,8 +188,8 @@ export async function settleDetachedConnectorReservations( * Releases a detached connector's documents as standalone entries, then deletes the connector. * * Nulling a document's `connector_id` fires the projection trigger, which rewrites every enabled - * chunk of it in both search projections, each a fresh index entry. So each transaction first - * releases at most 250 projection rows per table of the next 100 documents, and flips those + * chunk of it in the vector projection, each a fresh index entry. So each transaction first + * releases at most 250 vector projection rows of the next 100 documents, and flips those * documents only once none of their rows still name the connector; the trigger then finds nothing * to rewrite. A document larger than one page spans several transactions, and its released rows * read as an upload in the meantime, which grants the same access: only workspace-access @@ -299,27 +291,23 @@ export const detachKnowledgeConnector: OutboxHandler = async (rawPayload, contex return drained } - let projectionPageFull = false - for (const projection of SEARCH_PROJECTIONS) { - const page = tx - .select({ id: projection.id }) - .from(projection) - .where( - and( - inArray(projection.documentId, documentIds), - eq(projection.enabled, true), - isNotNull(projection.connectorId) - ) + const page = tx + .select({ id: embeddingSearch.id }) + .from(embeddingSearch) + .where( + and( + inArray(embeddingSearch.documentId, documentIds), + eq(embeddingSearch.enabled, true), + isNotNull(embeddingSearch.connectorId) ) - .limit(PROJECTION_ROW_BATCH_SIZE) - const released = await tx - .update(projection) - .set({ connectorId: null }) - .where(inArray(projection.id, page)) - .returning({ id: projection.id }) - if (released.length === PROJECTION_ROW_BATCH_SIZE) projectionPageFull = true - } - if (projectionPageFull) return 'progress' + ) + .limit(PROJECTION_ROW_BATCH_SIZE) + const released = await tx + .update(embeddingSearch) + .set({ connectorId: null }) + .where(inArray(embeddingSearch.id, page)) + .returning({ id: embeddingSearch.id }) + if (released.length === PROJECTION_ROW_BATCH_SIZE) return 'progress' const releasedDocuments = await tx .update(document) diff --git a/apps/sim/lib/knowledge/connectors/sync-content-pass.integration.ts b/apps/sim/lib/knowledge/connectors/sync-content-pass.integration.ts index 00595ff8858..0d1bdfd7c90 100644 --- a/apps/sim/lib/knowledge/connectors/sync-content-pass.integration.ts +++ b/apps/sim/lib/knowledge/connectors/sync-content-pass.integration.ts @@ -153,7 +153,7 @@ describe('completed listing reconciliation in PostgreSQL', () => { acl text[] NOT NULL DEFAULT '{ws}', acl_requirements jsonb NOT NULL DEFAULT '[]', acl_verified_at timestamp )` - for (const projection of ['embedding_search', 'embedding_keyword_tin']) { + for (const projection of ['embedding_search']) { await sql`CREATE TABLE ${sql(projection)} ( id text PRIMARY KEY, document_id text NOT NULL, enabled boolean NOT NULL DEFAULT true, connector_id text, acl text[] @@ -170,7 +170,6 @@ describe('completed listing reconciliation in PostgreSQL', () => { await sql`CREATE TRIGGER count_fan_out AFTER UPDATE OF connector_id, acl ON document FOR EACH ROW EXECUTE FUNCTION count_fan_out()` await sql`ALTER TABLE embedding_search DISABLE TRIGGER embedding_search_source_acl_set` - await sql`ALTER TABLE embedding_keyword_tin DISABLE TRIGGER embedding_keyword_tin_source_acl_set` }, 60_000) afterAll(async () => { @@ -181,7 +180,7 @@ describe('completed listing reconciliation in PostgreSQL', () => { beforeEach(async () => { hardDelete.mockClear() - await sql`TRUNCATE embedding_search, embedding_keyword_tin, document, fan_out, knowledge_connector` + await sql`TRUNCATE embedding_search, document, fan_out, knowledge_connector` await sql`INSERT INTO knowledge_connector (id) VALUES (${CONNECTOR})` }) @@ -191,7 +190,7 @@ describe('completed listing reconciliation in PostgreSQL', () => { { id: 'absent-empty', acl: [], seenAt: ABSENT_SINCE }, { id: 'absent-granted', acl: [ALICE], seenAt: ABSENT_SINCE, verified: true }, ]) - for (const projection of ['embedding_search', 'embedding_keyword_tin']) { + for (const projection of ['embedding_search']) { const prefix = projection === 'embedding_search' ? 'vec' : 'kw' await sql`INSERT INTO ${sql(projection)} (id, document_id, connector_id, acl) VALUES (${`${prefix}-empty-filled`}, 'absent-empty', ${CONNECTOR}, '{}'), @@ -210,13 +209,7 @@ describe('completed listing reconciliation in PostgreSQL', () => { { id: 'absent-empty', acl: [], verified: false, deleted: true }, { id: 'absent-granted', acl: [], verified: false, deleted: true }, ]) - expect( - await sql`SELECT id, acl FROM embedding_search - UNION ALL SELECT id, acl FROM embedding_keyword_tin ORDER BY id` - ).toEqual([ - { id: 'kw-empty-filled', acl: [] }, - { id: 'kw-granted-filled', acl: [] }, - { id: 'kw-granted-unfilled', acl: null }, + expect(await sql`SELECT id, acl FROM embedding_search ORDER BY id`).toEqual([ { id: 'vec-empty-filled', acl: [] }, { id: 'vec-granted-filled', acl: [] }, { id: 'vec-granted-unfilled', acl: null }, diff --git a/apps/sim/lib/knowledge/connectors/sync-persistence.integration.ts b/apps/sim/lib/knowledge/connectors/sync-persistence.integration.ts index 8579971f5a9..7c1714aa51b 100644 --- a/apps/sim/lib/knowledge/connectors/sync-persistence.integration.ts +++ b/apps/sim/lib/knowledge/connectors/sync-persistence.integration.ts @@ -37,8 +37,7 @@ describe('persistDocumentAcls in PostgreSQL', () => { const projected = () => sql<{ id: string; acl: string[] | null }[]>` - SELECT id, acl FROM embedding_search - UNION ALL SELECT id, acl FROM embedding_keyword_tin ORDER BY id` + SELECT id, acl FROM embedding_search ORDER BY id` /** Bounded page transactions on this schema's connection; these fixtures hold no lease. */ const pages = () => leaseTransaction('admin', undefined, drizzle(sql, { schema })) @@ -58,7 +57,7 @@ describe('persistDocumentAcls in PostgreSQL', () => { acl text[] NOT NULL DEFAULT '{ws}', acl_requirements jsonb NOT NULL DEFAULT '[]', acl_verified_at timestamp )` - for (const projection of ['embedding_search', 'embedding_keyword_tin']) { + for (const projection of ['embedding_search']) { await sql`CREATE TABLE ${sql(projection)} ( id text PRIMARY KEY, document_id text NOT NULL, enabled boolean NOT NULL DEFAULT true, connector_id text, acl text[] @@ -75,7 +74,6 @@ describe('persistDocumentAcls in PostgreSQL', () => { await sql`CREATE TRIGGER count_fan_out AFTER UPDATE OF connector_id, acl ON document FOR EACH ROW EXECUTE FUNCTION count_fan_out()` await sql`ALTER TABLE embedding_search DISABLE TRIGGER embedding_search_source_acl_set` - await sql`ALTER TABLE embedding_keyword_tin DISABLE TRIGGER embedding_keyword_tin_source_acl_set` }, 60_000) afterAll(async () => { @@ -85,11 +83,11 @@ describe('persistDocumentAcls in PostgreSQL', () => { }) beforeEach(async () => { - await sql`TRUNCATE embedding_search, embedding_keyword_tin, document, fan_out` + await sql`TRUNCATE embedding_search, document, fan_out` await sql`INSERT INTO document (id, external_id, connector_id, acl, acl_verified_at) VALUES ('doc-same', 'file-same', 'admin', ARRAY[${ALICE}], now() - interval '1 day'), ('doc-moved', 'file-moved', 'admin', ARRAY[${ALICE}], now() - interval '1 day')` - for (const projection of ['embedding_search', 'embedding_keyword_tin']) { + for (const projection of ['embedding_search']) { const prefix = projection === 'embedding_search' ? 'vec' : 'kw' await sql`INSERT INTO ${sql(projection)} (id, document_id, connector_id, acl) VALUES (${`${prefix}-same-unfilled`}, 'doc-same', NULL, NULL), @@ -111,8 +109,6 @@ describe('persistDocumentAcls in PostgreSQL', () => { expect(stored).toEqual({ acl: [ALICE], fresh: true }) expect(await fannedOut()).toEqual([]) expect((await projected()).filter((row) => row.id.includes('-same-'))).toEqual([ - { id: 'kw-same-filled', acl: [ALICE] }, - { id: 'kw-same-unfilled', acl: null }, { id: 'vec-same-filled', acl: [ALICE] }, { id: 'vec-same-unfilled', acl: null }, ]) @@ -128,8 +124,6 @@ describe('persistDocumentAcls in PostgreSQL', () => { const [stored] = await sql<{ acl: string[] }[]>`SELECT acl FROM document WHERE id = 'doc-moved'` expect(stored.acl).toEqual([BOB]) expect((await projected()).filter((row) => row.id.includes('-moved-'))).toEqual([ - { id: 'kw-moved-filled', acl: [BOB] }, - { id: 'kw-moved-unfilled', acl: null }, { id: 'vec-moved-filled', acl: [BOB] }, { id: 'vec-moved-unfilled', acl: null }, ]) @@ -167,7 +161,7 @@ describe('persistDocumentAcls in PostgreSQL', () => { expect(await fannedOut()).toEqual(['doc-moved']) expect( (await projected()).filter((row) => row.id.endsWith('-filled')).map((row) => row.acl) - ).toEqual([[ALICE, BOB], [ALICE], [ALICE, BOB], [ALICE]]) + ).toEqual([[ALICE, BOB], [ALICE]]) }) it('writes a changed ACL group larger than one change batch completely', async () => { const ids = Array.from( @@ -233,7 +227,7 @@ describe('persistDocumentAcls in PostgreSQL', () => { const filled = (await projected()) .filter((row) => row.id.endsWith('-same-filled')) .map((row) => row.acl) - expect(filled).toEqual(preserved ? [[ALICE], [ALICE]] : [[], []]) + expect(filled).toEqual(preserved ? [[ALICE]] : [[]]) } ) }) diff --git a/packages/db/knowledge-projection.ts b/packages/db/knowledge-projection.ts index 75511f56fe8..4727d815329 100644 --- a/packages/db/knowledge-projection.ts +++ b/packages/db/knowledge-projection.ts @@ -96,8 +96,8 @@ function searchVectorShortened(model: string, prefix: string): string { export type KnowledgeProjection = 'embedding_search' -/** Historical trigger installers retain these immutable names until their contract migration. */ -export const SOURCE_ACL_PROJECTIONS = ['embedding_search', 'embedding_keyword_tin'] as const +/** Active vector projections that mirror document access for legacy synchronous writers. */ +export const SOURCE_ACL_PROJECTIONS = ['embedding_search'] as const /** * The chunks one page covers: the next {@link PROJECTION_ROW_BATCH_SIZE} of the document in diff --git a/packages/db/migrations/0401_retire_keyword_projection.sql b/packages/db/migrations/0401_retire_keyword_projection.sql new file mode 100644 index 00000000000..26c72ffd661 --- /dev/null +++ b/packages/db/migrations/0401_retire_keyword_projection.sql @@ -0,0 +1,15 @@ +BEGIN;--> statement-breakpoint +SET LOCAL lock_timeout = '100ms';--> statement-breakpoint +-- Take parent locks without queueing ingestion behind a waiting DDL lock. +LOCK TABLE "public"."knowledge_base", "public"."embedding" IN ACCESS EXCLUSIVE MODE NOWAIT;--> statement-breakpoint +DROP TRIGGER IF EXISTS "embedding_keyword_search_sync" ON "public"."embedding";--> statement-breakpoint +DROP TRIGGER IF EXISTS "knowledge_base_keyword_search_sync" ON "public"."knowledge_base";--> statement-breakpoint +DROP FUNCTION IF EXISTS "public"."sync_embedding_keyword_search"(), "public"."sync_knowledge_base_keyword_search"() RESTRICT;--> statement-breakpoint +-- migration-safe: contract of indexed Search removal #8528, shipped in v0.9.16; ordinary KB keyword queries read embedding.content_tsv and no deployed app reads or writes this projection. +DROP TABLE IF EXISTS "public"."embedding_keyword_search" RESTRICT;--> statement-breakpoint +COMMIT;--> statement-breakpoint +SET lock_timeout = '100ms';--> statement-breakpoint +DROP INDEX CONCURRENTLY IF EXISTS "public"."embedding_keyword_tin_content_idx";--> statement-breakpoint +DROP INDEX CONCURRENTLY IF EXISTS "public"."embedding_keyword_tin_acl_gin_idx";--> statement-breakpoint +DROP INDEX CONCURRENTLY IF EXISTS "public"."embedding_keyword_tin_acl_unfilled_idx";--> statement-breakpoint +SET lock_timeout = '5s'; diff --git a/packages/db/migrations/meta/0401_snapshot.json b/packages/db/migrations/meta/0401_snapshot.json new file mode 100644 index 00000000000..1ce8693ed25 --- /dev/null +++ b/packages/db/migrations/meta/0401_snapshot.json @@ -0,0 +1,30189 @@ +{ + "id": "8a5c5f30-9b44-49c0-98d2-b99a21e73e5e", + "prevId": "057ad230-f58c-4353-8ef6-a22cc2cae750", + "version": "7", + "dialect": "postgresql", + "tables": { + "public.academy_certificate": { + "name": "academy_certificate", + "schema": "", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true + }, + "user_id": { + "name": "user_id", + "type": "text", + "primaryKey": false, + "notNull": true + }, + "course_id": { + "name": "course_id", + "type": "text", + "primaryKey": false, + "notNull": true + }, + "status": { + "name": "status", + "type": "academy_cert_status", + "typeSchema": "public", + "primaryKey": false, + "notNull": true, + "default": "'active'" + }, + "issued_at": { + "name": "issued_at", + "type": "timestamp", + "primaryKey": false, + "notNull": true, + "default": "now()" + }, + "expires_at": { + "name": "expires_at", + "type": "timestamp", + "primaryKey": false, + "notNull": false + }, + "certificate_number": { + "name": "certificate_number", + "type": "text", + "primaryKey": false, + "notNull": true + }, + "metadata": { + "name": "metadata", + "type": "jsonb", + "primaryKey": false, + "notNull": false + }, + "created_at": { + "name": "created_at", + "type": 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"credential_managed_mcp_enrollment_server_unique": { + "name": "credential_managed_mcp_enrollment_server_unique", + "columns": [ + { + "expression": "credential_group_enrollment_id", + "isExpression": false, + "asc": true, + "nulls": "last" + }, + { + "expression": "mcp_server_id", + "isExpression": false, + "asc": true, + "nulls": "last" + } + ], + "isUnique": true, + "where": "\"credential\".\"type\" = 'managed_mcp'", + "concurrently": false, + "method": "btree", + "with": {} + }, + "credential_workspace_account_unique": { + "name": "credential_workspace_account_unique", + "columns": [ + { + "expression": "workspace_id", + "isExpression": false, + "asc": true, + "nulls": "last" + }, + { + "expression": "account_id", + "isExpression": false, + "asc": true, + "nulls": "last" + } + ], + "isUnique": true, + "where": "account_id IS NOT NULL", + "concurrently": false, + "method": "btree", + "with": {} + }, + "credential_workspace_env_unique": { + "name": "credential_workspace_env_unique", + "columns": [ + { + "expression": "workspace_id", + "isExpression": false, + "asc": true, + "nulls": "last" + }, + { + "expression": "type", + "isExpression": false, + "asc": true, + "nulls": "last" + }, + { + "expression": "env_key", + "isExpression": false, + "asc": true, + "nulls": "last" + } + ], + "isUnique": true, + "where": "type = 'env_workspace'", + "concurrently": false, + "method": "btree", + "with": {} + }, + "credential_workspace_personal_env_unique": { + "name": "credential_workspace_personal_env_unique", + "columns": [ + { + "expression": "workspace_id", + "isExpression": false, + "asc": true, + "nulls": "last" + }, + { + "expression": "type", + "isExpression": false, + "asc": true, + "nulls": "last" + }, + { + "expression": "env_key", + "isExpression": false, + "asc": true, + "nulls": "last" + }, + { + "expression": "env_owner_user_id", + "isExpression": false, + "asc": true, + "nulls": "last" + } + ], + "isUnique": true, + "where": "type = 'env_personal'", + "concurrently": false, + "method": "btree", + "with": {} + }, + "credential_personal_token_identity_unique": { + "name": "credential_personal_token_identity_unique", + "columns": [ + { + "expression": "workspace_id", + "isExpression": false, + "asc": true, + "nulls": "last" + }, + { + "expression": "created_by", + "isExpression": false, + "asc": true, + "nulls": "last" + }, + { + "expression": "provider_id", + "isExpression": false, + "asc": true, + "nulls": "last" + }, + { + "expression": "provider_tenant_id", + "isExpression": false, + "asc": true, + "nulls": "last" + }, + { + "expression": "provider_subject_id", + "isExpression": false, + "asc": true, + "nulls": "last" + } + ], + "isUnique": true, + "where": "type = 'personal_token'", + "concurrently": false, + "method": "btree", + "with": {} + } + }, + "foreignKeys": { + "credential_workspace_id_workspace_id_fk": { + "name": "credential_workspace_id_workspace_id_fk", + "tableFrom": "credential", + "tableTo": "workspace", + "columnsFrom": ["workspace_id"], + "columnsTo": ["id"], + "onDelete": "cascade", + "onUpdate": "no action" + }, + "credential_organization_id_organization_id_fk": { + "name": "credential_organization_id_organization_id_fk", + "tableFrom": "credential", + "tableTo": "organization", + "columnsFrom": ["organization_id"], + "columnsTo": ["id"], + "onDelete": "cascade", + "onUpdate": "no action" + }, + "credential_slack_app_id_slack_app_id_fk": { + "name": "credential_slack_app_id_slack_app_id_fk", + "tableFrom": "credential", + "tableTo": "slack_app", + "columnsFrom": ["slack_app_id"], + "columnsTo": ["id"], + "onDelete": "no action", + "onUpdate": "no action" + }, + "credential_account_id_account_id_fk": { + "name": "credential_account_id_account_id_fk", + "tableFrom": "credential", + "tableTo": "account", + "columnsFrom": ["account_id"], + "columnsTo": ["id"], + "onDelete": "cascade", + "onUpdate": "no action" + }, + "credential_env_owner_user_id_user_id_fk": { + "name": "credential_env_owner_user_id_user_id_fk", + "tableFrom": "credential", + "tableTo": "user", + "columnsFrom": ["env_owner_user_id"], + "columnsTo": ["id"], + "onDelete": "cascade", + "onUpdate": "no action" + }, + "credential_credential_group_enrollment_id_credential_group_enrollment_id_fk": { + "name": "credential_credential_group_enrollment_id_credential_group_enrollment_id_fk", + "tableFrom": "credential", + "tableTo": "credential_group_enrollment", + "columnsFrom": ["credential_group_enrollment_id"], + "columnsTo": ["id"], + "onDelete": "cascade", + "onUpdate": "no action" + }, + "credential_mcp_server_id_mcp_servers_id_fk": { + "name": "credential_mcp_server_id_mcp_servers_id_fk", + "tableFrom": "credential", + "tableTo": "mcp_servers", + "columnsFrom": ["mcp_server_id"], + "columnsTo": ["id"], + "onDelete": "cascade", + "onUpdate": "no action" + }, + "credential_created_by_user_id_fk": { + "name": "credential_created_by_user_id_fk", + "tableFrom": "credential", + "tableTo": "user", + "columnsFrom": ["created_by"], + "columnsTo": ["id"], + "onDelete": "cascade", + "onUpdate": "no action" + } + }, + "compositePrimaryKeys": {}, + "uniqueConstraints": {}, + "policies": {}, + "checkConstraints": { + "credential_owner_check": { + "name": "credential_owner_check", + "value": "num_nonnulls(\"credential\".\"workspace_id\", \"credential\".\"organization_id\") = 1" + }, + "credential_organization_type_check": { + "name": "credential_organization_type_check", + "value": "\"credential\".\"organization_id\" IS NULL OR \"credential\".\"type\" IN ('oauth', 'managed_oauth', 'managed_mcp', 'service_account', 'personal_token')" + }, + "credential_personal_token_source_check": { + "name": "credential_personal_token_source_check", + "value": "(type::text <> 'personal_token') OR (\n created_by IS NOT NULL\n AND provider_id IS NOT NULL\n AND provider_id = 'gitlab'\n AND provider_subject_id IS NOT NULL\n AND provider_tenant_id IS NOT NULL\n AND encrypted_personal_token IS NOT NULL\n AND granted_scopes IS NOT NULL\n AND cardinality(granted_scopes) > 0\n AND account_id IS NULL\n AND env_key IS NULL\n AND env_owner_user_id IS NULL\n AND authorization_app_id IS NULL\n AND encrypted_oauth_token_set IS NULL\n AND encrypted_service_account_key IS NULL\n AND unredacted = false\n )" + }, + "credential_oauth_source_check": { + "name": "credential_oauth_source_check", + "value": "(type <> 'oauth') OR (account_id IS NOT NULL AND provider_id IS NOT NULL)" + }, + "credential_managed_oauth_source_check": { + "name": "credential_managed_oauth_source_check", + "value": "(type::text <> 'managed_oauth') OR (\n account_id IS NULL\n AND provider_id IS NOT NULL\n AND authorization_app_id IS NOT NULL\n AND provider_subject_id IS NOT NULL\n AND managed_oauth_status IS NOT NULL\n AND granted_scopes IS NOT NULL\n AND encrypted_oauth_token_set IS NOT NULL\n AND granted_at IS NOT NULL\n )" + }, + "credential_managed_oauth_group_binding_check": { + "name": "credential_managed_oauth_group_binding_check", + "value": "(type::text <> 'managed_oauth') OR (\n credential_group_enrollment_id IS NOT NULL\n AND credential_group_option_id IS NOT NULL\n AND managed_oauth_scope_version IS NOT NULL\n AND managed_oauth_scope_version > 0\n )" + }, + "credential_managed_mcp_source_check": { + "name": "credential_managed_mcp_source_check", + "value": "(type::text <> 'managed_mcp') OR (\n id LIKE 'mcp-cg-%'\n AND account_id IS NULL\n AND provider_id IS NULL\n AND authorization_app_id IS NULL\n AND credential_group_enrollment_id IS NOT NULL\n AND credential_group_option_id IS NULL\n AND mcp_server_id IS NOT NULL\n AND managed_oauth_status IS NOT NULL\n AND (managed_oauth_status <> 'active' OR (\n encrypted_oauth_token_set IS NOT NULL\n AND mcp_tools IS NOT NULL\n ))\n AND granted_at IS NOT NULL\n AND managed_oauth_scope_version IS NULL\n AND provider_subject_id IS NULL\n AND provider_tenant_id IS NULL\n AND granted_scopes IS NULL\n AND provider_metadata IS NULL\n AND created_by IS NULL\n AND env_key IS NULL\n AND env_owner_user_id IS NULL\n AND encrypted_service_account_key IS NULL\n AND unredacted = false\n )" + }, + "credential_creator_source_check": { + "name": "credential_creator_source_check", + "value": "(type::text = 'managed_mcp') OR created_by IS NOT NULL" + }, + "credential_workspace_env_source_check": { + "name": "credential_workspace_env_source_check", + "value": "(type <> 'env_workspace') OR (env_key IS NOT NULL AND env_owner_user_id IS NULL)" + }, + "credential_personal_env_source_check": { + "name": "credential_personal_env_source_check", + "value": "(type <> 'env_personal') OR (env_key IS NOT NULL AND env_owner_user_id IS NOT NULL)" + } + }, + "isRLSEnabled": false + }, + "public.credential_group": { + "name": "credential_group", + "schema": "", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true + }, + "workspace_id": { + "name": "workspace_id", + "type": "text", + "primaryKey": false, + "notNull": false + }, + "organization_id": { + "name": "organization_id", + "type": "text", + "primaryKey": false, + "notNull": false + }, + "public_id": { + "name": "public_id", + "type": "text", + "primaryKey": false, + "notNull": true + }, + "name": { + "name": "name", + "type": "text", + "primaryKey": false, + "notNull": true + }, + "description": { + "name": "description", + "type": "text", + "primaryKey": false, + "notNull": false + }, + "options": { + "name": "options", + "type": "jsonb", + "primaryKey": false, + "notNull": true + }, + "encrypted_provider_configuration": { + "name": "encrypted_provider_configuration", + "type": "text", + "primaryKey": false, + "notNull": false + }, + "status": { + "name": "status", + "type": "credential_group_status", + "typeSchema": "public", + "primaryKey": false, + "notNull": true, + "default": "'active'" + }, + "created_by": { + "name": "created_by", + "type": "text", + "primaryKey": false, + "notNull": false + }, + "created_at": { + "name": "created_at", + "type": "timestamp", + "primaryKey": false, + "notNull": true, + "default": "now()" + }, + "updated_at": { + "name": "updated_at", + "type": "timestamp", + "primaryKey": false, + "notNull": true, + "default": "now()" + } + }, + "indexes": { + "credential_group_organization_id_idx": { + "name": "credential_group_organization_id_idx", + "columns": [ + { + "expression": "organization_id", + "isExpression": false, + "asc": true, + "nulls": "last" + } + ], + "isUnique": false, + "concurrently": false, + "method": "btree", + "with": {} + }, + "credential_group_organization_unique": { + "name": "credential_group_organization_unique", + "columns": [ + { + "expression": "organization_id", + "isExpression": false, + "asc": true, + "nulls": "last" + } + ], + "isUnique": true, + "concurrently": false, + "method": "btree", + "with": {} + }, + "credential_group_public_id_unique": { + "name": "credential_group_public_id_unique", + "columns": [ + { + "expression": "public_id", + "isExpression": false, + "asc": true, + "nulls": "last" + } + ], + "isUnique": true, + "concurrently": false, + "method": "btree", + "with": {} + }, + "credential_group_workspace_unique": { + "name": "credential_group_workspace_unique", + "columns": [ + { + "expression": "workspace_id", + "isExpression": false, + "asc": true, + "nulls": "last" + } + ], + "isUnique": true, + "concurrently": false, + "method": "btree", + "with": {} + } + }, + "foreignKeys": { + "credential_group_workspace_id_workspace_id_fk": { + "name": "credential_group_workspace_id_workspace_id_fk", + "tableFrom": "credential_group", + "tableTo": "workspace", + "columnsFrom": ["workspace_id"], + "columnsTo": ["id"], + "onDelete": "cascade", + "onUpdate": "no action" + }, + "credential_group_organization_id_organization_id_fk": { + "name": "credential_group_organization_id_organization_id_fk", + "tableFrom": "credential_group", + "tableTo": "organization", + "columnsFrom": ["organization_id"], + "columnsTo": ["id"], + "onDelete": "cascade", + "onUpdate": "no action" + }, + "credential_group_created_by_user_id_fk": { + "name": "credential_group_created_by_user_id_fk", + "tableFrom": "credential_group", + "tableTo": "user", + "columnsFrom": ["created_by"], + "columnsTo": ["id"], + "onDelete": "set null", + "onUpdate": "no action" + } + }, + "compositePrimaryKeys": {}, + "uniqueConstraints": {}, + "policies": {}, + "checkConstraints": { + "credential_group_owner_check": { + "name": "credential_group_owner_check", + "value": "num_nonnulls(\"credential_group\".\"workspace_id\", \"credential_group\".\"organization_id\") = 1" + } + }, + "isRLSEnabled": false + }, + "public.credential_group_enrollment": { + "name": "credential_group_enrollment", + "schema": "", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true + }, + "credential_group_id": { + "name": "credential_group_id", + "type": "text", + "primaryKey": false, + "notNull": true + }, + "email": { + "name": "email", + "type": "text", + "primaryKey": false, + "notNull": true + }, + "user_id": { + "name": "user_id", + "type": "text", + "primaryKey": false, + "notNull": false + }, + "status": { + "name": "status", + "type": "credential_group_enrollment_status", + "typeSchema": "public", + "primaryKey": false, + "notNull": true, + "default": "'invited'" + }, + "invitation_token_hash": { + "name": "invitation_token_hash", + "type": "text", + "primaryKey": false, + "notNull": true + }, + "invitation_expires_at": { + "name": "invitation_expires_at", + "type": "timestamp", + "primaryKey": false, + "notNull": true + }, + "invited_at": { + "name": "invited_at", + "type": "timestamp", + "primaryKey": false, + "notNull": true + }, + "sent_at": { + "name": "sent_at", + "type": "timestamp", + "primaryKey": false, + "notNull": false + }, + "completed_at": { + "name": "completed_at", + "type": "timestamp", + "primaryKey": false, + "notNull": false + }, + "revoked_at": { + "name": "revoked_at", + "type": "timestamp", + "primaryKey": false, + "notNull": false + }, + "last_delivery_error": { + "name": "last_delivery_error", + "type": "text", + "primaryKey": false, + "notNull": false + }, + "created_by": { + "name": "created_by", + "type": "text", + "primaryKey": false, + "notNull": false + }, + "created_at": { + "name": "created_at", + "type": "timestamp", + "primaryKey": false, + "notNull": true, + "default": "now()" + }, + "updated_at": { + "name": "updated_at", + "type": "timestamp", + "primaryKey": false, + "notNull": true, + "default": "now()" + } + }, + "indexes": { + "credential_group_enrollment_group_user_unique": { + "name": "credential_group_enrollment_group_user_unique", + "columns": [ + { + "expression": "credential_group_id", + "isExpression": false, + "asc": true, + "nulls": "last" + }, + { + "expression": "user_id", + "isExpression": false, + "asc": true, + "nulls": "last" + } + ], + "isUnique": true, + "where": "\"credential_group_enrollment\".\"user_id\" IS NOT NULL", + "concurrently": false, + "method": "btree", + "with": {} + }, + "credential_group_enrollment_user_id_idx": { + "name": "credential_group_enrollment_user_id_idx", + "columns": [ + { + "expression": "user_id", + "isExpression": false, + "asc": true, + "nulls": "last" + } + ], + "isUnique": false, + "concurrently": false, + "method": "btree", + "with": {} + }, + "credential_group_enrollment_group_email_unique": { + "name": "credential_group_enrollment_group_email_unique", + "columns": [ + { + "expression": "credential_group_id", + "isExpression": false, + "asc": true, + "nulls": "last" + }, + { + "expression": "email", + "isExpression": false, + "asc": true, + "nulls": "last" + } + ], + "isUnique": true, + "concurrently": false, + "method": "btree", + "with": {} + }, + "credential_group_enrollment_invitation_token_hash_unique": { + "name": "credential_group_enrollment_invitation_token_hash_unique", + "columns": [ + { + "expression": "invitation_token_hash", + "isExpression": false, + "asc": true, + "nulls": "last" + } + ], + "isUnique": true, + "concurrently": false, + "method": "btree", + "with": {} + }, + "credential_group_enrollment_group_status_idx": { + "name": "credential_group_enrollment_group_status_idx", + "columns": [ + { + "expression": "credential_group_id", + "isExpression": false, + "asc": true, + "nulls": "last" + }, + { + "expression": "status", + "isExpression": false, + "asc": true, + "nulls": "last" + } + ], + "isUnique": false, + "concurrently": false, + "method": "btree", + "with": {} + }, + "credential_group_enrollment_group_invited_at_id_idx": { + "name": "credential_group_enrollment_group_invited_at_id_idx", + "columns": [ + { + "expression": "credential_group_id", + "isExpression": false, + "asc": true, + "nulls": "last" + }, + { + "expression": "invited_at", + "isExpression": false, + "asc": true, + "nulls": "last" + }, + { + "expression": "id", + "isExpression": false, + "asc": true, + "nulls": "last" + } + ], + "isUnique": false, + "concurrently": false, + "method": "btree", + "with": {} + } + }, + "foreignKeys": { + "credential_group_enrollment_credential_group_id_credential_group_id_fk": { + "name": "credential_group_enrollment_credential_group_id_credential_group_id_fk", + "tableFrom": "credential_group_enrollment", + "tableTo": "credential_group", + "columnsFrom": ["credential_group_id"], + "columnsTo": ["id"], + "onDelete": "cascade", + "onUpdate": "no action" + }, + "credential_group_enrollment_user_id_user_id_fk": { + "name": "credential_group_enrollment_user_id_user_id_fk", + "tableFrom": "credential_group_enrollment", + "tableTo": "user", + "columnsFrom": ["user_id"], + "columnsTo": ["id"], + "onDelete": "cascade", + "onUpdate": "no action" + }, + "credential_group_enrollment_created_by_user_id_fk": { + "name": "credential_group_enrollment_created_by_user_id_fk", + "tableFrom": "credential_group_enrollment", + "tableTo": "user", + "columnsFrom": ["created_by"], + "columnsTo": ["id"], + "onDelete": "set null", + "onUpdate": "no action" + } + }, + "compositePrimaryKeys": {}, + "uniqueConstraints": {}, + "policies": {}, + "checkConstraints": { + "credential_group_enrollment_normalized_email_check": { + "name": "credential_group_enrollment_normalized_email_check", + "value": "\"credential_group_enrollment\".\"email\" = lower(btrim(\"credential_group_enrollment\".\"email\")) AND length(\"credential_group_enrollment\".\"email\") BETWEEN 3 AND 320" + }, + "credential_group_enrollment_invitation_token_hash_length_check": { + "name": "credential_group_enrollment_invitation_token_hash_length_check", + "value": "length(\"credential_group_enrollment\".\"invitation_token_hash\") = 64" + } + }, + "isRLSEnabled": false + }, + "public.credential_member": { + "name": "credential_member", + "schema": "", + "columns": { + "id": { + "name": "id", + "type": "text", + "primaryKey": true, + "notNull": true + }, + "credential_id": { + 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"env_workspace", + "env_personal", + "service_account", + "personal_token" + ] + }, + "public.data_drain_cadence": { + "name": "data_drain_cadence", + "schema": "public", + "values": ["hourly", "daily"] + }, + "public.data_drain_destination": { + "name": "data_drain_destination", + "schema": "public", + "values": ["s3", "gcs", "azure_blob", "datadog", "bigquery", "snowflake", "webhook"] + }, + "public.data_drain_run_status": { + "name": "data_drain_run_status", + "schema": "public", + "values": ["running", "success", "failed"] + }, + "public.data_drain_run_trigger": { + "name": "data_drain_run_trigger", + "schema": "public", + "values": ["cron", "manual"] + }, + "public.data_drain_source": { + "name": "data_drain_source", + "schema": "public", + "values": ["workflow_logs", "job_logs", "audit_logs", "copilot_chats", "copilot_runs"] + }, + "public.execution_large_value_reference_source": { + "name": "execution_large_value_reference_source", + "schema": "public", + "values": ["execution_log", "paused_snapshot"] + }, + "public.folder_resource_type": { + "name": "folder_resource_type", + "schema": "public", + "values": ["workflow", "file", "knowledge_base", "table"] + }, + "public.invitation_kind": { + "name": "invitation_kind", + "schema": "public", + "values": ["organization", "workspace"] + }, + "public.invitation_membership_intent": { + "name": "invitation_membership_intent", + "schema": "public", + "values": ["internal", "external"] + }, + "public.invitation_status": { + "name": "invitation_status", + "schema": "public", + "values": ["pending", "accepted", "rejected", "cancelled", "expired"] + }, + "public.managed_oauth_credential_status": { + "name": "managed_oauth_credential_status", + "schema": "public", + "values": ["active", "needs_reauth", "revoked"] + }, + "public.permission_type": { + "name": "permission_type", + "schema": "public", + "values": ["admin", "write", "read"] + }, + "public.sandbox_image_status": { + "name": "sandbox_image_status", + "schema": "public", + "values": ["pending", "building", "ready", "failed"] + }, + "public.sandbox_language": { + "name": "sandbox_language", + "schema": "public", + "values": ["javascript", "python"] + }, + "public.secret_usage_scope": { + "name": "secret_usage_scope", + "schema": "public", + "values": ["workspace", "personal"] + }, + "public.secret_usage_source": { + "name": "secret_usage_source", + "schema": "public", + "values": ["workflow", "copilot", "mcp"] + }, + "public.upload_session_method": { + "name": "upload_session_method", + "schema": "public", + "values": ["put", "multipart"] + }, + "public.upload_session_provider": { + "name": "upload_session_provider", + "schema": "public", + "values": ["local", "s3", "blob", "gcs"] + }, + "public.upload_session_purpose": { + "name": "upload_session_purpose", + "schema": "public", + "values": [ + "workspace_file", + "table_import", + "knowledge_document", + "profile_picture", + "workspace_logo", + "organization_logo", + "mothership_attachment", + "execution_attachment" + ] + }, + "public.upload_session_status": { + "name": "upload_session_status", + "schema": "public", + "values": [ + "uploading", + "completing", + "finalizing", + "completed", + "aborting", + "aborted", + "failed", + "expired" + ] + }, + "public.usage_log_category": { + "name": "usage_log_category", + "schema": "public", + "values": ["model", "fixed", "tool", "model_unbilled"] + }, + "public.usage_log_source": { + "name": "usage_log_source", + "schema": "public", + "values": [ + "workflow", + "wand", + "copilot", + "workspace-chat", + "mcp_copilot", + "mothership_block", + "knowledge-base", + "voice-input", + "enrichment", + "voice-output", + "api-tool" + ] + }, + "public.workspace_file_search_index_status": { + "name": "workspace_file_search_index_status", + "schema": "public", + "values": ["pending", "ready", "skipped", "failed"] + }, + "public.workspace_file_version_source": { + "name": "workspace_file_version_source", + "schema": "public", + "values": ["upload", "user", "api", "copilot", "workflow", "collab", "revert", "unknown"] + }, + "public.workspace_fork_promote_direction": { + "name": "workspace_fork_promote_direction", + "schema": "public", + "values": ["push", "pull"] + }, + "public.workspace_fork_resource_type": { + "name": "workspace_fork_resource_type", + "schema": "public", + "values": [ + "workflow", + "oauth_credential", + "service_account_credential", + "env_var", + "table", + "knowledge_base", + "knowledge_document", + "file", + "file_folder", + "mcp_server", + "workflow_mcp_server", + "custom_block", + "custom_tool", + "skill", + "sandbox" + ] + }, + "public.workspace_mode": { + "name": "workspace_mode", + "schema": "public", + "values": ["personal", "organization", "grandfathered_shared"] + } + }, + "schemas": {}, + "sequences": { + "public.copilot_async_tool_calls_persist_seq": { + "name": "copilot_async_tool_calls_persist_seq", + "schema": "public", + "increment": "1", + "startWith": "1", + "minValue": "1", + "maxValue": "9223372036854775807", + "cache": "1", + "cycle": false + } + }, + "roles": {}, + "policies": {}, + "views": {}, + "_meta": { + "columns": {}, + "schemas": {}, + "tables": {} + } +} diff --git a/packages/db/migrations/meta/_journal.json b/packages/db/migrations/meta/_journal.json index 3b502bbf432..ce37a41add6 100644 --- a/packages/db/migrations/meta/_journal.json +++ b/packages/db/migrations/meta/_journal.json @@ -2801,6 +2801,13 @@ "when": 1791447472721, "tag": "0400_vanta_client_token", "breakpoints": true + }, + { + "idx": 401, + "version": "7", + "when": 1791487459599, + "tag": "0401_retire_keyword_projection", + "breakpoints": true } ] } diff --git a/packages/db/schema.ts b/packages/db/schema.ts index 77eed5c65bc..898f78d4478 100644 --- a/packages/db/schema.ts +++ b/packages/db/schema.ts @@ -3860,39 +3860,8 @@ export const embedding = pgTable( }) ) -/** Keyword ranking reads text-search vectors independently of chunk content and semantic vectors. */ -// contract-pending(after the indexed-search retirement release and all legacy projection writers have drained): drop embedding_keyword_search — regular KB keyword queries read embedding.content_tsv. -export const embeddingKeywordSearch = pgTable( - 'embedding_keyword_search', - { - id: text('id') - .primaryKey() - .references(() => embedding.id, { onDelete: 'cascade' }), - knowledgeBaseId: text('knowledge_base_id').notNull(), - documentId: text('document_id').notNull(), - enabled: boolean('enabled').notNull(), - contentTsv: tsvector('content_tsv').notNull(), - }, - (table) => ({ - knowledgeBaseIdx: index('embedding_keyword_search_kb_idx').on(table.knowledgeBaseId), - documentIdx: index('embedding_keyword_search_document_idx').on(table.documentId), - contentIdx: index('embedding_keyword_search_content_idx').using('gin', table.contentTsv), - }) -) - -/** The Tin index over {@link embeddingKeywordTin}; valid only once the projection is backfilled. */ -export const EMBEDDING_KEYWORD_TIN_INDEX = 'embedding_keyword_tin_content_idx' - -/** - * BM25 keyword ranking for organization search indexes, served by the Tin text index where the - * database provides the `tin` extension. `content` is the chunk's `english` lexemes in position - * order, prefixed with a token naming its knowledge base, so ranking is scoped to one base inside - * the index and stems exactly as the GIN projection does. The row mirrors its document's source - * and ACL, like {@link embeddingSearch}. Script migration `0019_tin_keyword_projection` installs the extension, - * the index, and the embedding and knowledge base triggers that own these rows, and only where - * `tin` exists; elsewhere the table stays empty and keyword search keeps the GIN projection. - */ -// contract-pending(after the indexed-search retirement release and all legacy projection writers have drained): drop embedding_keyword_tin — only retired indexed Search ranks this projection. +/** Compatibility storage for connector-detachment workers from before keyword retirement. */ +// contract-pending(after the keyword-projection retirement release and old connector-detachment workers have drained): drop embedding_keyword_tin — no new projection writer uses it. export const embeddingKeywordTin = pgTable( 'embedding_keyword_tin', { diff --git a/packages/db/script-migrations/0016_backfill_search_vectors.integration.ts b/packages/db/script-migrations/0016_backfill_search_vectors.integration.ts index 5f2d238637c..9043fc63f05 100644 --- a/packages/db/script-migrations/0016_backfill_search_vectors.integration.ts +++ b/packages/db/script-migrations/0016_backfill_search_vectors.integration.ts @@ -1,7 +1,6 @@ import { readFileSync } from 'node:fs' import { backfillEmbeddingSearch } from '@sim/db/script-migrations/0015_backfill_embedding_search' import { - backfillSearchKeywords, backfillSearchVectors, buildSearchIndexes, } from '@sim/db/script-migrations/0016_backfill_search_vectors' @@ -27,6 +26,7 @@ describe('search projection upgrade in PostgreSQL', () => { 'document', 'embedding', 'embedding_search', + 'embedding_keyword_tin', 'knowledge_projection_dirty', ]) { await admin.unsafe( @@ -128,31 +128,6 @@ describe('search projection upgrade in PostgreSQL', () => { expect(await backfillSearchVectors(sql)).toBe(0) }, 60_000) - it('backfills identical keyword vectors and keeps content edits, scope changes, and deletes current', async () => { - expect(await backfillSearchKeywords(sql)).toBe(501) - expect(await backfillSearchKeywords(sql)).toBe(0) - const [initial] = await sql`SELECT count(*)::int AS count FROM embedding e - JOIN embedding_keyword_search s ON s.id = e.id - WHERE e.content_tsv IS DISTINCT FROM s.content_tsv - OR e.enabled IS DISTINCT FROM s.enabled - OR e.knowledge_base_id IS DISTINCT FROM s.knowledge_base_id - OR e.document_id IS DISTINCT FROM s.document_id` - expect(initial.count).toBe(0) - await sql`UPDATE embedding SET content = 'Revised deployment instructions', - knowledge_base_id = 'full', document_id = 'revised-document', enabled = false - WHERE id = 'chunk-2'` - expect( - await sql`SELECT knowledge_base_id, document_id, enabled, - content_tsv = to_tsvector('english', 'Revised deployment instructions') AS current - FROM embedding_keyword_search WHERE id = 'chunk-2'` - ).toEqual([ - { knowledge_base_id: 'full', document_id: 'revised-document', enabled: false, current: true }, - ]) - await sql`DELETE FROM embedding WHERE id = 'chunk-2'` - expect(await sql`SELECT id FROM embedding_keyword_search WHERE id = 'chunk-2'`).toHaveLength(0) - expect(await backfillSearchKeywords(sql)).toBe(0) - }) - it('repairs an interrupted index build and preserves valid indexes on replay', async () => { await expect( sql.unsafe( @@ -167,18 +142,18 @@ describe('search projection upgrade in PostgreSQL', () => { await buildSearchIndexes(sql) const indexes = await sql`SELECT indexrelid, indisvalid FROM pg_index INNER JOIN pg_class ON pg_class.oid = pg_index.indexrelid - WHERE indrelid IN ('embedding_search'::regclass, 'embedding_keyword_search'::regclass) + WHERE indrelid = 'embedding_search'::regclass AND (relname LIKE '%cosine_hnsw_idx' OR relname IN - ('embedding_search_document_lookup_idx', 'embedding_keyword_search_kb_idx', 'embedding_keyword_search_document_idx', 'embedding_keyword_search_content_idx')) + ('embedding_search_document_lookup_idx')) ORDER BY indexrelid` - expect(indexes).toHaveLength(10) + expect(indexes).toHaveLength(7) expect(indexes.every((index) => index.indisvalid)).toBe(true) await buildSearchIndexes(sql) const replay = await sql`SELECT indexrelid, indisvalid FROM pg_index INNER JOIN pg_class ON pg_class.oid = pg_index.indexrelid - WHERE indrelid IN ('embedding_search'::regclass, 'embedding_keyword_search'::regclass) + WHERE indrelid = 'embedding_search'::regclass AND (relname LIKE '%cosine_hnsw_idx' OR relname IN - ('embedding_search_document_lookup_idx', 'embedding_keyword_search_kb_idx', 'embedding_keyword_search_document_idx', 'embedding_keyword_search_content_idx')) + ('embedding_search_document_lookup_idx')) ORDER BY indexrelid` expect(replay).toEqual(indexes) }, 60_000) @@ -242,32 +217,6 @@ describe('search projection upgrade in PostgreSQL', () => { expect(await sql`SELECT id FROM embedding_search WHERE id = 'chunk-1'`).toHaveLength(0) }) - it.each([128, 512])( - 'stores a %i-token keyword vector without widening semantic candidates', - async (tokens) => { - const id = generateId() - await sql.unsafe( - `INSERT INTO embedding - (id, knowledge_base_id, document_id, chunk_index, chunk_hash, content, content_length, - token_count, start_offset, end_offset, embedding) - SELECT $1, 'full', $1, 0, $1, string_agg(md5(n::text), ' '), $2 * 33, - $2, 0, $2 * 33, array_fill(0.01::real, ARRAY[1536])::vector(1536) - FROM generate_series(1, $2::int) n`, - [id, tokens] - ) - const [row] = await sql`SELECT s.content_tsv = e.content_tsv AS identical, - pg_column_toast_chunk_id(s.content_tsv) IS NULL AS inline, - pg_column_size(s.content_tsv) AS bytes - FROM embedding_keyword_search s JOIN embedding e ON e.id = s.id WHERE s.id = ${id}` - expect(row.identical).toBe(true) - expect(row.bytes).toBeGreaterThan(2048) - expect(row.inline).toBe(tokens === 128) - expect( - (await sql`SELECT count(*)::int AS count FROM embedding_search WHERE id = ${id}`)[0].count - ).toBe(1) - } - ) - it.each([1536, 3072])( 'keeps lookup identities inline beside %i-dimensional vectors', async (width) => { @@ -295,7 +244,6 @@ describe('search projection upgrade in PostgreSQL', () => { it.each([ { name: 'binary', table: 'embedding_search', backfill: backfillEmbeddingSearch }, { name: 'vector', table: 'embedding_search', backfill: backfillSearchVectors }, - { name: 'keyword', table: 'embedding_keyword_search', backfill: backfillSearchKeywords }, ])( 'resumes $name after cancellation and traverses fully populated source pages', async ({ name, table, backfill }) => { @@ -364,7 +312,6 @@ describe('search projection upgrade in PostgreSQL', () => { array_fill(0.01::real, ARRAY[1536])::vector(1536) FROM generate_series(1, 1001) n`) await sql`DELETE FROM embedding_search WHERE id > 'upgrade-0501' AND id LIKE 'upgrade-%'` - await sql`DELETE FROM embedding_keyword_search WHERE id LIKE 'upgrade-%'` await sql.unsafe(`CREATE FUNCTION cancel_projection_upgrade() RETURNS trigger LANGUAGE plpgsql AS $$ BEGIN IF NEW.id = 'upgrade-0750' THEN @@ -391,10 +338,9 @@ describe('search projection upgrade in PostgreSQL', () => { { name: '0016_backfill_search_vectors' }, ]) const [{ complete }] = await sql`SELECT count(*)::int AS complete FROM embedding e - JOIN embedding_search s ON s.id = e.id JOIN embedding_keyword_search k ON k.id = e.id + JOIN embedding_search s ON s.id = e.id WHERE e.id LIKE 'upgrade-%' AND s."binary" = binary_quantize(e.embedding)::bit(1536) - AND s.vector_512 = subvector(e.embedding, 1, 512)::halfvec(512) - AND k.content_tsv = e.content_tsv` + AND s.vector_512 = subvector(e.embedding, 1, 512)::halfvec(512)` expect(complete).toBe(1001) /** Search retirement is an operator command; a deploy's full registry run never starts it. */ expect( diff --git a/packages/db/script-migrations/0016_backfill_search_vectors.ts b/packages/db/script-migrations/0016_backfill_search_vectors.ts index 5cf3b559b76..f0b93313378 100644 --- a/packages/db/script-migrations/0016_backfill_search_vectors.ts +++ b/packages/db/script-migrations/0016_backfill_search_vectors.ts @@ -115,76 +115,6 @@ export async function backfillSearchVectors(sql: Sql): Promise { return count } -/** Keeps keyword scoring independent of the full-vector and chunk-content storage working sets. */ -export async function backfillSearchKeywords(sql: Sql): Promise { - await sql.begin(async (tx) => { - await tx.unsafe("SET LOCAL lock_timeout = '5s'") - await tx.unsafe('LOCK TABLE embedding IN SHARE ROW EXCLUSIVE MODE') - await tx.unsafe(`ALTER TABLE embedding_keyword_search - ALTER COLUMN id SET STORAGE PLAIN, - ALTER COLUMN knowledge_base_id SET STORAGE PLAIN, - ALTER COLUMN document_id SET STORAGE PLAIN, - ALTER COLUMN content_tsv SET STORAGE MAIN`) - await tx.unsafe(`CREATE OR REPLACE FUNCTION sync_embedding_keyword_search() - RETURNS trigger LANGUAGE plpgsql AS $$ - BEGIN - INSERT INTO embedding_keyword_search (id, knowledge_base_id, document_id, enabled, content_tsv) - VALUES (NEW.id, NEW.knowledge_base_id, NEW.document_id, NEW.enabled, NEW.content_tsv) - ON CONFLICT (id) DO UPDATE SET - knowledge_base_id = EXCLUDED.knowledge_base_id, document_id = EXCLUDED.document_id, - enabled = EXCLUDED.enabled, content_tsv = EXCLUDED.content_tsv; - RETURN NEW; - END; - $$`) - await tx.unsafe(`CREATE OR REPLACE TRIGGER embedding_keyword_search_sync - AFTER INSERT OR UPDATE OF knowledge_base_id, document_id, enabled, content ON embedding - FOR EACH ROW EXECUTE FUNCTION sync_embedding_keyword_search()`) - }) - let afterId = '' - let count = 0 - let scanned = 0 - const startedAt = Date.now() - for (;;) { - const [page] = await sql.begin(async (tx) => { - await tx.unsafe("SET LOCAL lock_timeout = '5s'") - await tx.unsafe("SET LOCAL statement_timeout = '60s'") - return tx.unsafe>( - ` - WITH source_page AS MATERIALIZED ( - SELECT id FROM embedding WHERE id > $1 ORDER BY id LIMIT ${BATCH_SIZE} - ), missing AS MATERIALIZED ( - SELECT p.id FROM source_page p WHERE NOT EXISTS ( - SELECT 1 FROM embedding_keyword_search s WHERE s.id = p.id - ) - ), batch AS MATERIALIZED ( - SELECT e.id, e.knowledge_base_id, e.document_id, e.enabled, e.content_tsv - FROM missing m INNER JOIN embedding e ON e.id = m.id - ORDER BY e.id FOR KEY SHARE OF e - ), inserted AS ( - INSERT INTO embedding_keyword_search (id, knowledge_base_id, document_id, enabled, content_tsv) - SELECT id, knowledge_base_id, document_id, enabled, content_tsv FROM batch - ON CONFLICT (id) DO NOTHING RETURNING id - ) SELECT max(id) AS after_id, count(*)::int AS scanned, - (SELECT count(*)::int FROM inserted) AS inserted FROM source_page`, - [afterId] - ) - }) - if (!page.after_id) break - afterId = page.after_id - count += page.inserted - scanned += page.scanned - if (scanned % (BATCH_SIZE * 100) === 0) { - logger.info('Keyword search backfill progress', { - scanned, - inserted: count, - elapsedMs: Date.now() - startedAt, - }) - } - } - await sql.unsafe('VACUUM (ANALYZE) embedding_keyword_search') - return count -} - /** Builds new indexes after bulk loading; interrupted builds are repaired without rebuilding valid ones. */ export async function buildSearchIndexes(sql: Sql): Promise { const indexes = [ @@ -198,21 +128,6 @@ export async function buildSearchIndexes(sql: Sql): Promise { table: 'embedding_search', definition: `ON embedding_search USING hnsw (${field('vector', width)} halfvec_cosine_ops) WITH (m=16, ef_construction=64)`, })), - { - name: 'embedding_keyword_search_kb_idx', - table: 'embedding_keyword_search', - definition: 'ON embedding_keyword_search (knowledge_base_id)', - }, - { - name: 'embedding_keyword_search_document_idx', - table: 'embedding_keyword_search', - definition: 'ON embedding_keyword_search (document_id)', - }, - { - name: 'embedding_keyword_search_content_idx', - table: 'embedding_keyword_search', - definition: 'ON embedding_keyword_search USING gin (content_tsv)', - }, ] const [{ timeout }] = await sql`SELECT current_setting('lock_timeout') AS timeout` await sql.unsafe('SET lock_timeout = 0') @@ -240,13 +155,12 @@ export const backfillSearchVectorsMigration: ScriptMigration = { supersedes: ['0015_backfill_embedding_search'], async up(sql) { const rows = await backfillSearchVectors(sql) - const keywordRows = await backfillSearchKeywords(sql) await buildSearchIndexes(sql) - logger.info('Search projections initialized', { rows, keywordRows }) + logger.info('Search projections initialized', { rows }) }, } -/** Records the dev push backfill only after success, so later deploys skip both full scans. */ +/** Records the dev push backfill only after success, so later deploys skip the full scan. */ export async function runDevSearchBackfill(sql: Sql): Promise { await sql` CREATE TABLE IF NOT EXISTS script_migrations ( diff --git a/packages/db/script-migrations/0019_tin_keyword_projection.integration.ts b/packages/db/script-migrations/0019_tin_keyword_projection.integration.ts deleted file mode 100644 index 984560bd1ee..00000000000 --- a/packages/db/script-migrations/0019_tin_keyword_projection.integration.ts +++ /dev/null @@ -1,220 +0,0 @@ -import { spawnSync } from 'node:child_process' -import { readFileSync } from 'node:fs' -import path from 'node:path' -import { - backfillProjection, - installProjection, -} from '@sim/db/script-migrations/0019_tin_keyword_projection' -import { readTestDatabaseUrl } from '@sim/db/testing/test-infrastructure' -import { generateId } from '@sim/utils/id' -import postgres, { type Sql } from 'postgres' -import { afterAll, beforeAll, beforeEach, describe, expect, it } from 'vitest' - -const databaseUrl = readTestDatabaseUrl() -const MIGRATIONS = path.join(__dirname, '../migrations') - -/** Resolves once backend `pid` waits on a lock, so each race runs in a fixed order. */ -async function waitUntilBlocked(observer: Sql, pid: number): Promise { - for (let attempt = 0; attempt < 200; attempt++) { - const [row] = await observer`SELECT wait_event_type FROM pg_stat_activity WHERE pid = ${pid}` - if (row?.wait_event_type === 'Lock') return - await observer`SELECT pg_sleep(0.01)` - } - throw new Error(`Backend ${pid} never waited on a lock`) -} - -/** - * The Tin extension is not available here, but the projection's functions and triggers are plain - * SQL, so membership and its races are exercised without the index. - */ -describe('Tin keyword projection in PostgreSQL', () => { - let admin: Sql - let sql: Sql - let promoter: Sql - const schemaName = `tin_projection_${generateId().replaceAll('-', '')}` - - const projected = () => - sql<{ id: string; enabled: boolean; content: string }[]>` - SELECT id, enabled, content FROM embedding_keyword_tin ORDER BY id` - - beforeAll(async () => { - admin = postgres(databaseUrl, { max: 1, onnotice: () => undefined }) - await admin.unsafe(`CREATE SCHEMA "${schemaName}"`) - const connect = () => - postgres(databaseUrl, { - max: 1, - onnotice: () => undefined, - connection: { search_path: schemaName }, - }) - sql = connect() - promoter = connect() - await sql`CREATE TABLE knowledge_base ( - id text PRIMARY KEY, is_search_index boolean NOT NULL DEFAULT false, updated_at timestamp - )` - await sql`CREATE TABLE embedding ( - id text PRIMARY KEY, knowledge_base_id text NOT NULL REFERENCES knowledge_base(id), - document_id text NOT NULL, enabled boolean NOT NULL DEFAULT true, content text, - content_tsv tsvector NOT NULL - )` - await sql`CREATE INDEX ON embedding (knowledge_base_id)` - /** The shipped table, with its foreign key pointed at this schema's `embedding`. */ - const [createTable] = readFileSync( - path.join(MIGRATIONS, '0367_tin_keyword_projection.sql'), - 'utf8' - ).split('--> statement-breakpoint') - await sql.unsafe(createTable) - await sql.unsafe( - 'ALTER TABLE embedding_keyword_tin ADD FOREIGN KEY (id) REFERENCES embedding(id) ON DELETE CASCADE' - ) - await installProjection(sql) - }, 60_000) - - afterAll(async () => { - await sql?.end() - await promoter?.end() - await admin?.unsafe(`DROP SCHEMA IF EXISTS "${schemaName}" CASCADE`) - await admin?.end() - }) - - beforeEach(async () => { - await sql`TRUNCATE embedding_keyword_tin, embedding, knowledge_base` - await sql`INSERT INTO knowledge_base (id, is_search_index) VALUES ('legacy', false), ('index', true)` - }) - - it('runs standalone when CI leaves the optional migration URL empty', () => { - const result = spawnSync('bun', [path.join(__dirname, '0019_tin_keyword_projection.ts')], { - env: { ...process.env, MIGRATION_DATABASE_URL: '', DATABASE_URL: databaseUrl }, - encoding: 'utf8', - timeout: 30_000, - }) - expect(result.error).toBeUndefined() - expect(result.status, result.stdout + result.stderr).toBe(0) - }) - - it('projects only chunks of search indexes, as their lexemes in position order', async () => { - await sql`INSERT INTO embedding (id, knowledge_base_id, document_id, content_tsv) VALUES - ('in-index', 'index', 'doc', to_tsvector('english', 'Release notes for release')), - ('in-legacy', 'legacy', 'doc', to_tsvector('english', 'Release notes'))` - const rows = await projected() - expect(rows.map((row) => row.id)).toEqual(['in-index']) - expect(rows[0].content).toMatch(/^zkb[0-9a-f]{32} releas note releas$/) - }) - - it('projects a legacy base when it is adopted as a search index, and removes it when it is not', async () => { - await sql`INSERT INTO embedding (id, knowledge_base_id, document_id, enabled, content_tsv) VALUES - ('legacy-1', 'legacy', 'doc', true, to_tsvector('english', 'Quarterly planning')), - ('legacy-2', 'legacy', 'doc', false, to_tsvector('english', 'Draft agenda'))` - expect(await projected()).toEqual([]) - - await sql`UPDATE knowledge_base SET is_search_index = true WHERE id = 'legacy'` - expect(await projected()).toMatchObject([ - { id: 'legacy-1', enabled: true }, - { id: 'legacy-2', enabled: false }, - ]) - - await sql`UPDATE knowledge_base SET updated_at = now() WHERE id = 'legacy'` - expect(await projected()).toHaveLength(2) - - await sql`UPDATE knowledge_base SET is_search_index = false WHERE id = 'legacy'` - expect(await projected()).toEqual([]) - }) - - it('projects a chunk inserted while the base is being adopted', async () => { - let inserted!: () => void - const insertedSignal = new Promise((resolve) => { - inserted = resolve - }) - let release!: () => void - const released = new Promise((resolve) => { - release = resolve - }) - const writer = sql.begin(async (tx) => { - await tx`INSERT INTO embedding (id, knowledge_base_id, document_id, content_tsv) - VALUES ('racing', 'legacy', 'doc', to_tsvector('english', 'Racing chunk'))` - inserted() - await released - }) - await insertedSignal - const [{ pid }] = await promoter`SELECT pg_backend_pid() AS pid` - const promotion = - promoter`UPDATE knowledge_base SET is_search_index = true WHERE id = 'legacy'`.execute() - await waitUntilBlocked(admin, pid) - release() - await writer - await promotion - expect((await projected()).map((row) => row.id)).toEqual(['racing']) - }) - - it('keeps a chunk update that races the adoption of its base', async () => { - await sql`INSERT INTO embedding (id, knowledge_base_id, document_id, content_tsv) - VALUES ('toggled', 'legacy', 'doc', to_tsvector('english', 'Toggled chunk'))` - let promoted!: () => void - const promotedSignal = new Promise((resolve) => { - promoted = resolve - }) - let release!: () => void - const released = new Promise((resolve) => { - release = resolve - }) - const promotion = promoter.begin(async (tx) => { - await tx`UPDATE knowledge_base SET is_search_index = true WHERE id = 'legacy'` - promoted() - await released - }) - await promotedSignal - const [{ pid }] = await sql`SELECT pg_backend_pid() AS pid` - const update = sql`UPDATE embedding SET enabled = false WHERE id = 'toggled'`.execute() - await waitUntilBlocked(admin, pid) - release() - await promotion - await update - expect(await projected()).toMatchObject([{ id: 'toggled', enabled: false }]) - }) - it('removes a base through the chunk index instead of scanning the projection', async () => { - await sql`INSERT INTO embedding (id, knowledge_base_id, document_id, content_tsv) - SELECT 'index-' || n, 'index', 'doc', to_tsvector('english', 'Chunk ' || n) - FROM generate_series(1, 20) n` - /** Pending per-backend counts include earlier statements, so compare before and after. */ - const scans = await sql.begin(async (tx) => { - const read = async () => { - const [row] = await tx>` - SELECT seq_scan::int AS scans FROM pg_stat_xact_user_tables - WHERE relid = 'embedding_keyword_tin'::regclass` - return row.scans - } - await tx`SET LOCAL enable_seqscan = off` - const before = await read() - await tx`UPDATE knowledge_base SET is_search_index = false WHERE id = 'index'` - return (await read()) - before - }) - expect(scans).toBe(0) - expect(await projected()).toEqual([]) - }) - - it('does not backfill a chunk whose base stops being a search index mid-page', async () => { - await sql`INSERT INTO embedding (id, knowledge_base_id, document_id, content_tsv) - VALUES ('unprojected', 'index', 'doc', to_tsvector('english', 'Predates the trigger'))` - await sql`DELETE FROM embedding_keyword_tin` - let demoted!: () => void - const demotedSignal = new Promise((resolve) => { - demoted = resolve - }) - let release!: () => void - const released = new Promise((resolve) => { - release = resolve - }) - const demotion = promoter.begin(async (tx) => { - await tx`UPDATE knowledge_base SET is_search_index = false WHERE id = 'index'` - demoted() - await released - }) - await demotedSignal - const [{ pid }] = await sql`SELECT pg_backend_pid() AS pid` - const backfill = backfillProjection(sql) - await waitUntilBlocked(admin, pid) - release() - await demotion - expect(await backfill).toBe(0) - expect(await projected()).toEqual([]) - }) -}) diff --git a/packages/db/script-migrations/0019_tin_keyword_projection.test.ts b/packages/db/script-migrations/0019_tin_keyword_projection.test.ts deleted file mode 100644 index 37ad7c38dab..00000000000 --- a/packages/db/script-migrations/0019_tin_keyword_projection.test.ts +++ /dev/null @@ -1,43 +0,0 @@ -import type { Sql } from 'postgres' -import { describe, expect, it, vi } from 'vitest' -import { - adoptTinKeywordProjection, - installTinKeywordProjection, -} from './0019_tin_keyword_projection' -import { ScriptMigrationDeferred } from './types' - -/** A session that offers `tin` or not, and answers `CREATE EXTENSION` with `createError`. */ -function createSqlHarness(options: { available: boolean; createError?: { code: string } }) { - const statements: string[] = [] - const run = (strings: TemplateStringsArray) => { - const text = strings.join('?').replace(/\s+/g, ' ').trim() - statements.push(text) - if (text.includes('pg_available_extensions')) { - return Promise.resolve(options.available ? [{ '?column?': 1 }] : []) - } - return Promise.resolve([]) - } - const sql = run as unknown as Sql - sql.unsafe = vi.fn(async (text: string) => { - statements.push(text) - if (text.startsWith('CREATE EXTENSION') && options.createError) throw options.createError - return [] - }) as unknown as Sql['unsafe'] - return { sql, statements } -} - -describe('installTinKeywordProjection', () => { - it.each(['42501', '0A000'])( - 'defers without installing anything when the database refuses the extension (%s)', - async (code) => { - const { sql, statements } = createSqlHarness({ available: true, createError: { code } }) - await expect(installTinKeywordProjection(sql)).rejects.toBeInstanceOf(ScriptMigrationDeferred) - expect(statements.at(-1)).toBe('CREATE EXTENSION IF NOT EXISTS tin') - } - ) - - it('fails a direct run on any other extension error', async () => { - const { sql } = createSqlHarness({ available: true, createError: { code: '53100' } }) - await expect(adoptTinKeywordProjection(sql)).rejects.toEqual({ code: '53100' }) - }) -}) diff --git a/packages/db/script-migrations/0019_tin_keyword_projection.ts b/packages/db/script-migrations/0019_tin_keyword_projection.ts deleted file mode 100644 index 99b46ca0a26..00000000000 --- a/packages/db/script-migrations/0019_tin_keyword_projection.ts +++ /dev/null @@ -1,295 +0,0 @@ -import { SYNCHRONOUS_PROJECTION_WHEN } from '@sim/db/knowledge-projection' -import { EMBEDDING_KEYWORD_TIN_INDEX } from '@sim/db/schema' -import { resolveMigrationDatabaseUrl } from '@sim/db/script-migrations/database-url' -import { type ScriptMigration, ScriptMigrationDeferred } from '@sim/db/script-migrations/types' -import { createLogger } from '@sim/logger' -import postgres, { type Sql, type TransactionSql } from 'postgres' - -const logger = createLogger('TinKeywordProjection') -const BATCH_SIZE = 500 - -/** Refusals that mean this database cannot host Tin, as opposed to a failed installation. */ -const EXTENSION_REFUSED_CODES = new Set(['42501', '0A000']) - -/** - * Installs the extension, or reports that this database refuses it: listed as available is not - * the same as creatable by the migration role. Tin is an optimization, so a refusal leaves keyword - * search on the GIN projection instead of failing the deploy, and defers the migration so the - * upgrade after the extension is allowed installs it. - */ -async function createTinExtension(sql: Sql): Promise { - try { - await sql.unsafe('CREATE EXTENSION IF NOT EXISTS tin') - return true - } catch (error) { - const code = (error as { code?: unknown }).code - if (typeof code !== 'string' || !EXTENSION_REFUSED_CODES.has(code)) throw error - logger.warn('The database refused the tin extension; keyword search keeps the GIN projection', { - code, - }) - return false - } -} - -/** - * Whether the database offers the `tin` extension. Only PlanetScale Postgres ships it; everywhere - * else the projection table stays empty and keyword search keeps the GIN projection. - */ -async function tinAvailable(sql: Sql): Promise { - const rows = await sql`SELECT 1 FROM pg_available_extensions WHERE name = 'tin'` - return rows.length > 0 -} - -/** - * The advisory lock key that serializes a knowledge base's keyword projection writers with a change - * of its search-index marker (see {@link installProjection}). - */ -export async function installMembershipKey(tx: Sql | TransactionSql): Promise { - await tx.unsafe(`CREATE OR REPLACE FUNCTION knowledge_tin_membership_key(knowledge_base_id text) - RETURNS bigint LANGUAGE sql IMMUTABLE PARALLEL SAFE AS $$ - SELECT hashtextextended('embedding_keyword_tin:' || knowledge_base_id, 0) - $$`) -} - -/** - * The chunk trigger's body. A chunk outside a search index writes nothing; an update removes the - * row a chunk left behind by moving out of one. An insert has nothing to remove, since a new chunk - * id has no row and a base adopted meanwhile waits on the membership lock the insert holds. - */ -export async function installTinChunkSync(tx: Sql | TransactionSql): Promise { - await tx.unsafe(`CREATE OR REPLACE FUNCTION sync_embedding_keyword_tin() - RETURNS trigger LANGUAGE plpgsql AS $$ - BEGIN - PERFORM pg_advisory_xact_lock_shared(knowledge_tin_membership_key(NEW.knowledge_base_id)); - IF NOT EXISTS ( - SELECT 1 FROM knowledge_base WHERE id = NEW.knowledge_base_id AND is_search_index - ) THEN - IF TG_OP = 'UPDATE' THEN - DELETE FROM embedding_keyword_tin WHERE id = NEW.id; - END IF; - RETURN NEW; - END IF; - INSERT INTO embedding_keyword_tin (id, knowledge_base_id, document_id, enabled, content) - VALUES (NEW.id, NEW.knowledge_base_id, NEW.document_id, NEW.enabled, - knowledge_tin_base_token(NEW.knowledge_base_id) || ' ' || knowledge_tin_stream(NEW.content_tsv)) - ON CONFLICT (id) DO UPDATE SET - knowledge_base_id = EXCLUDED.knowledge_base_id, document_id = EXCLUDED.document_id, - enabled = EXCLUDED.enabled, content = EXCLUDED.content; - RETURN NEW; - END; - $$`) -} - -/** - * The knowledge base trigger's body: projects or removes a whole base when its search-index marker - * changes. The chunks are key-share locked as they are read, as the backfill locks its own, so a - * chunk delete in flight is waited for and its chunk skipped rather than failing the adoption on - * the row's foreign key. - */ -export async function installTinMembershipSync(tx: Sql | TransactionSql): Promise { - await tx.unsafe(`CREATE OR REPLACE FUNCTION sync_knowledge_base_keyword_tin() - RETURNS trigger LANGUAGE plpgsql AS $$ - BEGIN - PERFORM pg_advisory_xact_lock(knowledge_tin_membership_key(NEW.id)); - IF NOT NEW.is_search_index THEN - DELETE FROM embedding_keyword_tin t USING embedding e - WHERE e.knowledge_base_id = NEW.id AND t.id = e.id; - RETURN NEW; - END IF; - INSERT INTO embedding_keyword_tin (id, knowledge_base_id, document_id, enabled, content) - SELECT id, knowledge_base_id, document_id, enabled, - knowledge_tin_base_token(knowledge_base_id) || ' ' || knowledge_tin_stream(content_tsv) - FROM embedding WHERE knowledge_base_id = NEW.id - ORDER BY id FOR KEY SHARE - ON CONFLICT (id) DO UPDATE SET - knowledge_base_id = EXCLUDED.knowledge_base_id, document_id = EXCLUDED.document_id, - enabled = EXCLUDED.enabled, content = EXCLUDED.content; - RETURN NEW; - END; - $$`) -} - -/** - * Installs the stream and base-token functions shared by the triggers and the query path, and the - * embedding and knowledge base triggers, atomically with respect to embedding writers. - * - * `knowledge_tin_stream` emits a tsvector's lexemes in position order, so Tin ranks exactly the - * `english` analysis the GIN projection stores. Stopwords the analysis dropped leave no gap, so a - * phrase also matches across them, slightly looser than the GIN projection's positional match. - * `knowledge_tin_base_token` names a knowledge base as one indexed term, so a query ranks within one - * base inside the index. Only organization search indexes are projected: they are the bases large - * enough for a member to reach more than an exact ranking can afford, where GIN keyword ranking has - * to score every match before access is checked. - * - * Membership follows `knowledge_base.is_search_index`, so the projection has two writers: the - * embedding trigger projects one chunk, and the knowledge base trigger projects or removes a whole - * base when a legacy base is adopted as a search index. They serialize on a transaction advisory - * lock per base, taken before the marker is read: embedding writers share it, so they never wait on - * each other, and a marker change takes it exclusively, so it waits for writers already in flight - * and later writers wait for it. Each then reads under a fresh snapshot, so neither misses the - * other's rows. A row lock cannot do this: a key-share lock on the marker row is compatible with - * the uncommitted marker update, so a writer would read the old marker without waiting. A whole - * base is reached through `embedding`'s knowledge base index, since a projected row always carries - * its chunk's base and the projection keeps no index but Tin's. The embedding trigger carries the - * guard `0024_knowledge_projection_async` added, so a database adopting Tin later ends where a full - * migration run does. - */ -export async function installProjection(sql: Sql): Promise { - await sql.begin(async (tx) => { - await tx.unsafe("SET LOCAL lock_timeout = '5s'") - await tx.unsafe('LOCK TABLE embedding IN SHARE ROW EXCLUSIVE MODE') - await tx.unsafe(`CREATE OR REPLACE FUNCTION knowledge_tin_stream(vector tsvector) - RETURNS text LANGUAGE sql IMMUTABLE PARALLEL SAFE AS $$ - SELECT coalesce(string_agg(entry.lexeme, ' ' ORDER BY position), '') - FROM unnest(vector) AS entry(lexeme, positions, weights), unnest(entry.positions) AS position - $$`) - await tx.unsafe(`CREATE OR REPLACE FUNCTION knowledge_tin_base_token(knowledge_base_id text) - RETURNS text LANGUAGE sql IMMUTABLE PARALLEL SAFE AS $$ - SELECT 'zkb' || md5(knowledge_base_id) - $$`) - await installMembershipKey(tx) - await installTinChunkSync(tx) - await tx.unsafe(`CREATE OR REPLACE TRIGGER embedding_keyword_tin_sync - AFTER INSERT OR UPDATE OF knowledge_base_id, document_id, enabled, content ON embedding - FOR EACH ROW WHEN (${SYNCHRONOUS_PROJECTION_WHEN}) EXECUTE FUNCTION sync_embedding_keyword_tin()`) - await installTinMembershipSync(tx) - await tx.unsafe(`CREATE OR REPLACE TRIGGER knowledge_base_keyword_tin_sync - AFTER UPDATE OF is_search_index ON knowledge_base - FOR EACH ROW WHEN (OLD.is_search_index IS DISTINCT FROM NEW.is_search_index) - EXECUTE FUNCTION sync_knowledge_base_keyword_tin()`) - }) -} - -/** - * Fills rows the trigger has not written yet, in independently committed keyset pages. Each page - * takes the membership locks of its bases before reading them, as the embedding trigger does, and - * then reads under a fresh snapshot: a base whose search-index marker is changing is read only - * after that change commits, so the backfill never writes back a chunk the change removed. - */ -export async function backfillProjection(sql: Sql): Promise { - let afterId = '' - let inserted = 0 - let scanned = 0 - const startedAt = Date.now() - for (;;) { - const page = await sql.begin(async (tx) => { - await tx.unsafe("SET LOCAL lock_timeout = '5s'") - await tx.unsafe("SET LOCAL statement_timeout = '60s'") - const rows = await tx>` - SELECT id, knowledge_base_id FROM embedding WHERE id > ${afterId} ORDER BY id - LIMIT ${BATCH_SIZE}` - if (rows.length === 0) return null - const ids = rows.map((row) => row.id) - const bases = [...new Set(rows.map((row) => row.knowledge_base_id))] - await tx`SELECT pg_advisory_xact_lock_shared(knowledge_tin_membership_key(base)) - FROM unnest(${bases}::text[]) AS base ORDER BY base` - const [{ written }] = await tx>` - WITH batch AS MATERIALIZED ( - SELECT e.id, e.knowledge_base_id, e.document_id, e.enabled, e.content_tsv - FROM embedding e - INNER JOIN knowledge_base k ON k.id = e.knowledge_base_id AND k.is_search_index - WHERE e.id = ANY(${ids}::text[]) - AND NOT EXISTS (SELECT 1 FROM embedding_keyword_tin t WHERE t.id = e.id) - ORDER BY e.id FOR KEY SHARE OF e - ), written AS ( - INSERT INTO embedding_keyword_tin (id, knowledge_base_id, document_id, enabled, content) - SELECT id, knowledge_base_id, document_id, enabled, - knowledge_tin_base_token(knowledge_base_id) || ' ' || knowledge_tin_stream(content_tsv) - FROM batch - ON CONFLICT (id) DO NOTHING RETURNING id - ) SELECT count(*)::int AS written FROM written` - return { afterId: ids[ids.length - 1], scanned: ids.length, inserted: written } - }) - if (!page) break - afterId = page.afterId - inserted += page.inserted - scanned += page.scanned - if (scanned % (BATCH_SIZE * 100) === 0) { - logger.info('Tin keyword backfill progress', { - scanned, - inserted, - elapsedMs: Date.now() - startedAt, - }) - } - } - await sql.unsafe('VACUUM (ANALYZE) embedding_keyword_tin') - return inserted -} - -/** - * Builds the Tin index after the bulk load, concurrently so the trigger keeps writing. An - * interrupted build leaves an invalid index, which is dropped and rebuilt; a valid one is kept. - */ -async function buildProjectionIndex(sql: Sql): Promise { - const [{ timeout }] = await sql`SELECT current_setting('lock_timeout') AS timeout` - await sql.unsafe('SET lock_timeout = 0') - try { - const [existing] = await sql`SELECT i.indisvalid FROM pg_index i - WHERE i.indexrelid = to_regclass(${EMBEDDING_KEYWORD_TIN_INDEX})` - if (existing?.indisvalid) return - if (existing) await sql.unsafe(`DROP INDEX CONCURRENTLY ${EMBEDDING_KEYWORD_TIN_INDEX}`) - const startedAt = Date.now() - logger.info('Building Tin keyword index', { index: EMBEDDING_KEYWORD_TIN_INDEX }) - await sql.unsafe( - `CREATE INDEX CONCURRENTLY ${EMBEDDING_KEYWORD_TIN_INDEX} ON embedding_keyword_tin USING tin (content) WITH (tokenizer = 'whitespace')` - ) - logger.info('Tin keyword index built', { - index: EMBEDDING_KEYWORD_TIN_INDEX, - elapsedMs: Date.now() - startedAt, - }) - } finally { - await sql`SELECT set_config('lock_timeout', ${timeout}, false)` - } -} - -/** - * Installs and fills the Tin keyword projection where the database offers `tin`, and records a - * no-op elsewhere. A database that refuses the extension it offers defers instead, so a later - * upgrade retries it. A database that gains the extension after recording the no-op runs this file - * directly (see below) to adopt it; the whole migration is idempotent. - */ -export async function installTinKeywordProjection(sql: Sql): Promise { - if (!(await tinAvailable(sql))) { - logger.info('Tin is unavailable; keyword search keeps the GIN projection') - return - } - if (!(await createTinExtension(sql))) { - throw new ScriptMigrationDeferred('the database refused the tin extension') - } - await installProjection(sql) - const rows = await backfillProjection(sql) - await buildProjectionIndex(sql) - logger.info('Tin keyword projection initialized', { rows }) -} - -export const tinKeywordProjectionMigration: ScriptMigration = { - name: '0019_tin_keyword_projection', - up: installTinKeywordProjection, -} - -/** - * Installs the projection where this database allows it, treating a refused extension as a no-op: - * run directly — `db:push`, or adopting Tin after a cluster gains it — there is no migration - * record to leave unwritten, and keyword search keeps the GIN projection either way. - */ -export async function adoptTinKeywordProjection(sql: Sql): Promise { - try { - await installTinKeywordProjection(sql) - } catch (error) { - if (!(error instanceof ScriptMigrationDeferred)) throw error - logger.warn('Tin projection deferred; keyword search keeps the GIN projection', { - reason: error.message, - }) - } -} - -if (import.meta.main) { - const url = resolveMigrationDatabaseUrl() - if (!url) throw new Error('DATABASE_URL is required to install the Tin keyword projection') - const sql = postgres(url, { max: 1, max_lifetime: null, onnotice: () => undefined }) - try { - await adoptTinKeywordProjection(sql) - } finally { - await sql.end() - } -} diff --git a/packages/db/script-migrations/0021_embedding_search_connector.integration.ts b/packages/db/script-migrations/0021_embedding_search_connector.integration.ts index 2aa01ec4fa0..8deaec59747 100644 --- a/packages/db/script-migrations/0021_embedding_search_connector.integration.ts +++ b/packages/db/script-migrations/0021_embedding_search_connector.integration.ts @@ -23,7 +23,7 @@ describe('projection source and ACL triggers in PostgreSQL', () => { let sql: Sql const schemaName = `projection_acl_${generateId().replaceAll('-', '')}` - const projected = (projection: 'embedding_search' | 'embedding_keyword_tin') => + const projected = (projection: 'embedding_search') => sql<{ id: string; connector_id: string | null; acl: string[] | null }[]>` SELECT id, connector_id, acl FROM ${sql(projection)} ORDER BY id` @@ -54,7 +54,7 @@ describe('projection source and ACL triggers in PostgreSQL', () => { generation bigint NOT NULL DEFAULT 1, content boolean NOT NULL DEFAULT false, marked_at timestamptz NOT NULL DEFAULT now() )` - for (const projection of ['embedding_search', 'embedding_keyword_tin']) { + for (const projection of ['embedding_search']) { await sql`CREATE TABLE ${sql(projection)} ( id text PRIMARY KEY, document_id text NOT NULL, enabled boolean NOT NULL DEFAULT true, connector_id text, acl text[] @@ -64,7 +64,7 @@ describe('projection source and ACL triggers in PostgreSQL', () => { id text PRIMARY KEY, knowledge_base_id text, document_id text, enabled boolean, content text, embedding text, embedding_384 text, embedding_768 text, embedding_1024 text, embedding_3072 text )` - for (const name of ['sync_embedding_search', 'sync_embedding_keyword_search']) { + for (const name of ['sync_embedding_search']) { await sql.unsafe(`CREATE FUNCTION ${name}() RETURNS trigger LANGUAGE plpgsql AS $$ BEGIN RETURN NULL; END; $$`) } @@ -91,9 +91,8 @@ describe('projection source and ACL triggers in PostgreSQL', () => { }) beforeEach(async () => { - await sql`TRUNCATE embedding_search, embedding_keyword_tin, knowledge_projection_dirty, document` + await sql`TRUNCATE embedding_search, knowledge_projection_dirty, document` await sql`ALTER TABLE embedding_search DISABLE TRIGGER embedding_search_source_acl_set` - await sql`ALTER TABLE embedding_keyword_tin DISABLE TRIGGER embedding_keyword_tin_source_acl_set` }) it('runs everything synchronously through 0023, and 0024 adds the guards with the marks', async () => { @@ -102,7 +101,7 @@ describe('projection source and ACL triggers in PostgreSQL', () => { await embeddingSearchConnectorMigration.up(sql) await projectionAclSkipUnfilledMigration.up(sql) /** The embedding triggers as `0016` installs them. */ - for (const projection of ['embedding_search', 'embedding_keyword_search']) { + for (const projection of ['embedding_search']) { await sql.unsafe(`CREATE OR REPLACE TRIGGER ${projection}_sync AFTER INSERT ON embedding FOR EACH ROW EXECUTE FUNCTION sync_${projection}()`) } @@ -111,9 +110,7 @@ describe('projection source and ACL triggers in PostgreSQL', () => { expect(before?.installed).toBe(false) expect(await guarded()).toEqual({ embedding_search_sync: false, - embedding_keyword_search_sync: false, embedding_search_source_acl_set: false, - embedding_keyword_tin_source_acl_set: false, }) await sql`INSERT INTO document (id, connector_id, acl) VALUES ('doc', 'src', ARRAY['u:alice'])` await sql`INSERT INTO embedding_search (id, document_id, connector_id, acl) @@ -129,9 +126,7 @@ describe('projection source and ACL triggers in PostgreSQL', () => { await knowledgeProjectionAsyncMigration.up(sql) expect(await guarded()).toEqual({ embedding_search_sync: true, - embedding_keyword_search_sync: true, embedding_search_source_acl_set: true, - embedding_keyword_tin_source_acl_set: true, }) await sql`UPDATE document SET acl = ARRAY['u:carol'] WHERE id = 'doc'` expect((await projected('embedding_search'))[0]?.acl).toEqual(['u:carol']) @@ -144,8 +139,6 @@ describe('projection source and ACL triggers in PostgreSQL', () => { SELECT indexname FROM pg_indexes WHERE schemaname = ${schemaName} ORDER BY indexname` expect(indexes.map((row) => row.indexname)).toEqual( expect.arrayContaining([ - 'embedding_keyword_tin_acl_gin_idx', - 'embedding_keyword_tin_acl_unfilled_idx', 'embedding_search_acl_gin_idx', 'embedding_search_acl_unfilled_idx', 'embedding_search_source_idx', @@ -171,9 +164,6 @@ describe('projection source and ACL triggers in PostgreSQL', () => { RETURNS trigger LANGUAGE plpgsql AS $$ BEGIN UPDATE embedding_search SET connector_id = NEW.connector_id, acl = NEW.acl - WHERE document_id = NEW.id AND enabled - AND (connector_id IS DISTINCT FROM NEW.connector_id OR acl IS DISTINCT FROM NEW.acl); - UPDATE embedding_keyword_tin SET connector_id = NEW.connector_id, acl = NEW.acl WHERE document_id = NEW.id AND enabled AND (connector_id IS DISTINCT FROM NEW.connector_id OR acl IS DISTINCT FROM NEW.acl); RETURN NEW; diff --git a/packages/db/script-migrations/0021_embedding_search_connector.test.ts b/packages/db/script-migrations/0021_embedding_search_connector.test.ts index 795b0148753..4fbc5203ae7 100644 --- a/packages/db/script-migrations/0021_embedding_search_connector.test.ts +++ b/packages/db/script-migrations/0021_embedding_search_connector.test.ts @@ -84,9 +84,9 @@ describe('backfillProjectionSourceAcl', () => { { scanned: 1, filled: 1, last_id: 'id-3' }, { scanned: 0, filled: 0, last_id: null }, ]) - await expect( - backfillNow(session, 'embedding_keyword_tin', { pauseMs: 0 }) - ).resolves.toMatchObject({ scanned: 3, written: 3, afterId: 'id-3', done: true }) + await expect(backfillNow(session, 'embedding_search', { pauseMs: 0 })).resolves.toMatchObject( + { scanned: 3, written: 3, afterId: 'id-3', done: true } + ) expect(cursors).toEqual(['', 'id-2', 'id-2', 'id-2', 'id-3']) } ) @@ -95,9 +95,9 @@ describe('backfillProjectionSourceAcl', () => { const { session, cursors } = sessionOf( Array.from({ length: PROJECTION_SOURCE_ACL_PAGE_RETRIES + 1 }, () => postgresError('55P03')) ) - await expect( - backfillNow(session, 'embedding_keyword_tin', { pauseMs: 0 }) - ).rejects.toMatchObject({ code: '55P03' }) + await expect(backfillNow(session, 'embedding_search', { pauseMs: 0 })).rejects.toMatchObject({ + code: '55P03', + }) expect(cursors).toHaveLength(PROJECTION_SOURCE_ACL_PAGE_RETRIES + 1) expect(new Set(cursors)).toEqual(new Set([''])) }) diff --git a/packages/db/script-migrations/0021_embedding_search_connector.ts b/packages/db/script-migrations/0021_embedding_search_connector.ts index edb4e817409..798a5a0a5b1 100644 --- a/packages/db/script-migrations/0021_embedding_search_connector.ts +++ b/packages/db/script-migrations/0021_embedding_search_connector.ts @@ -38,7 +38,7 @@ const PAGE_RETRY_PAUSE = { baseMs: 10_000, maxMs: 60_000 } as const const PROGRESS_EVERY_PAGES = 100 /** The projections that carry their document's source and ACL. */ -export const PROJECTION_SOURCE_ACL_TABLES = ['embedding_search', 'embedding_keyword_tin'] as const +export const PROJECTION_SOURCE_ACL_TABLES = ['embedding_search'] as const export type ProjectionSourceAclTable = (typeof PROJECTION_SOURCE_ACL_TABLES)[number] /** diff --git a/packages/db/script-migrations/0024_knowledge_projection_async.ts b/packages/db/script-migrations/0024_knowledge_projection_async.ts index eff8abcfa36..f0fe120f019 100644 --- a/packages/db/script-migrations/0024_knowledge_projection_async.ts +++ b/packages/db/script-migrations/0024_knowledge_projection_async.ts @@ -88,11 +88,14 @@ async function installDocumentMarking(tx: Sql | TransactionSql): Promise { RETURN NEW; END; $$`) + await tx.unsafe(`CREATE OR REPLACE TRIGGER projection_source_acl_sync + AFTER UPDATE OF connector_id, acl ON document + FOR EACH ROW WHEN (OLD.connector_id IS DISTINCT FROM NEW.connector_id OR OLD.acl IS DISTINCT FROM NEW.acl) + EXECUTE FUNCTION sync_projection_source_acl()`) } /** - * The marking installed on its own, for a test schema that holds only `document` and the - * projections: the mark function, then the document trigger's marking body. + * Refreshes document marking and vector-only ACL fan-out without rebuilding chunk triggers. */ export async function installKnowledgeProjectionMarking(tx: Sql | TransactionSql): Promise { await installMarkFunctions(tx) @@ -134,9 +137,8 @@ async function installMarkTriggers(tx: TransactionSql): Promise { /** * The triggers that write projection rows in the writer's transaction, re-created with the guard * that skips them for a writer that deferred its projection. Their functions are the ones - * `0016_backfill_search_vectors`, `0019_tin_keyword_projection` and - * `0021_embedding_search_connector` installed, and their events are the same; only the `WHEN` is - * new. The Tin trigger is re-created only where `0019` installed it. + * `0016_backfill_search_vectors` and `0021_embedding_search_connector` installed; + * their events stay the same, with deferred writers leaving repair to the projector. */ async function installGuardedProjectionTriggers(tx: TransactionSql): Promise { const guard = `FOR EACH ROW WHEN (${SYNCHRONOUS_PROJECTION_WHEN})` @@ -144,14 +146,6 @@ async function installGuardedProjectionTriggers(tx: TransactionSql): Promise { - const [row] = await tx>` - SELECT EXISTS ( - SELECT 1 FROM pg_trigger - WHERE tgname = 'embedding_keyword_tin_sync' AND tgrelid = 'embedding'::regclass - ) AS installed` - return Boolean(row?.installed) -} - /** * Lets a writer defer its search projection rows to the knowledge projector, and marks every * document whose projection rows a write changes, in either mode. diff --git a/packages/db/script-migrations/0025_scope_keyword_projections.integration.ts b/packages/db/script-migrations/0025_scope_keyword_projections.integration.ts deleted file mode 100644 index 2b3e738c1d6..00000000000 --- a/packages/db/script-migrations/0025_scope_keyword_projections.integration.ts +++ /dev/null @@ -1,310 +0,0 @@ -import { backfillSearchKeywords } from '@sim/db/script-migrations/0016_backfill_search_vectors' -import { installProjection } from '@sim/db/script-migrations/0019_tin_keyword_projection' -import { installProjectionSourceAcl } from '@sim/db/script-migrations/0021_embedding_search_connector' -import { installKnowledgeProjectionAsync } from '@sim/db/script-migrations/0024_knowledge_projection_async' -import { scopeKeywordProjections } from '@sim/db/script-migrations/0025_scope_keyword_projections' -import { readTestDatabaseUrl } from '@sim/db/testing/test-infrastructure' -import { generateId } from '@sim/utils/id' -import postgres, { type Sql, type TransactionSql } from 'postgres' -import { afterAll, beforeAll, beforeEach, describe, expect, it } from 'vitest' - -const databaseUrl = readTestDatabaseUrl() - -/** Resolves once backend `pid` waits on a lock, so each race runs in a fixed order. */ -async function waitUntilBlocked(observer: Sql, pid: number): Promise { - for (let attempt = 0; attempt < 200; attempt++) { - const [row] = await observer`SELECT wait_event_type FROM pg_stat_activity WHERE pid = ${pid}` - if (row?.wait_event_type === 'Lock') return - await observer`SELECT pg_sleep(0.01)` - } - throw new Error(`Backend ${pid} never waited on a lock`) -} - -/** Scans this transaction has run on `tables`, sequential and index alike. */ -async function scansOf(tx: TransactionSql, tables: readonly string[]): Promise { - const [row] = await tx>` - SELECT coalesce(sum(seq_scan + coalesce(idx_scan, 0)), 0)::int AS scans - FROM pg_stat_xact_user_tables WHERE relid = ANY(${tables as string[]}::regclass[])` - return row.scans -} - -/** - * The tables carry only the columns the triggers read and write. The Tin extension is not - * available here, but its triggers are plain SQL, so each projection is installed as the - * migrations before `0025` leave it and then scoped. - */ -describe('keyword projections scoped to search indexes in PostgreSQL', () => { - let admin: Sql - let sql: Sql - let other: Sql - const schemaName = `keyword_scope_${generateId().replaceAll('-', '')}` - - const keywordIds = () => - sql<{ id: string }[]>`SELECT id FROM embedding_keyword_search ORDER BY id`.then((rows) => - rows.map((row) => row.id) - ) - const tinIds = () => - sql<{ id: string }[]>`SELECT id FROM embedding_keyword_tin ORDER BY id`.then((rows) => - rows.map((row) => row.id) - ) - - beforeAll(async () => { - admin = postgres(databaseUrl, { max: 1, onnotice: () => undefined }) - await admin.unsafe(`CREATE SCHEMA "${schemaName}"`) - const connect = () => - postgres(databaseUrl, { - max: 1, - onnotice: () => undefined, - connection: { search_path: schemaName }, - }) - sql = connect() - other = connect() - await sql`CREATE TABLE knowledge_base ( - id text PRIMARY KEY, is_search_index boolean NOT NULL DEFAULT false - )` - await sql`CREATE TABLE document ( - id text PRIMARY KEY, connector_id text, acl text[] NOT NULL DEFAULT '{ws}' - )` - await sql`CREATE TABLE knowledge_projection_dirty ( - document_id text PRIMARY KEY REFERENCES document (id) ON DELETE CASCADE, - generation bigint NOT NULL DEFAULT 1, content boolean NOT NULL DEFAULT false, - marked_at timestamptz NOT NULL DEFAULT now() - )` - await sql`CREATE TABLE embedding ( - id text PRIMARY KEY, knowledge_base_id text NOT NULL REFERENCES knowledge_base (id), - document_id text NOT NULL REFERENCES document (id), enabled boolean NOT NULL DEFAULT true, - content text, content_tsv tsvector NOT NULL, embedding text, embedding_384 text, - embedding_768 text, embedding_1024 text, embedding_3072 text - )` - await sql`CREATE INDEX ON embedding (knowledge_base_id)` - await sql`CREATE TABLE embedding_search ( - id text PRIMARY KEY REFERENCES embedding (id) ON DELETE CASCADE, document_id text NOT NULL, - enabled boolean NOT NULL DEFAULT true, connector_id text, acl text[] - )` - await sql`CREATE TABLE embedding_keyword_search ( - id text PRIMARY KEY REFERENCES embedding (id) ON DELETE CASCADE, - knowledge_base_id text NOT NULL, document_id text NOT NULL, enabled boolean NOT NULL, - content_tsv tsvector NOT NULL - )` - await sql`CREATE INDEX ON embedding_keyword_search (knowledge_base_id)` - await sql`CREATE TABLE embedding_keyword_tin ( - id text PRIMARY KEY REFERENCES embedding (id) ON DELETE CASCADE, - knowledge_base_id text NOT NULL, document_id text NOT NULL, enabled boolean NOT NULL, - content text NOT NULL, connector_id text, acl text[] - )` - await sql.unsafe(`CREATE FUNCTION sync_embedding_search() RETURNS trigger LANGUAGE plpgsql AS $$ - BEGIN RETURN NULL; END; $$`) - await backfillSearchKeywords(sql) - await installProjection(sql) - await installProjectionSourceAcl(sql) - await installKnowledgeProjectionAsync(sql) - await scopeKeywordProjections(sql) - }, 60_000) - - afterAll(async () => { - await sql?.end() - await other?.end() - await admin?.unsafe(`DROP SCHEMA IF EXISTS "${schemaName}" CASCADE`) - await admin?.end() - }) - - beforeEach(async () => { - await sql`TRUNCATE embedding_keyword_search, embedding_keyword_tin, embedding_search, - knowledge_projection_dirty, embedding, document, knowledge_base` - await sql`INSERT INTO knowledge_base (id, is_search_index) VALUES ('legacy', false), ('index', true)` - await sql`INSERT INTO document (id) VALUES ('doc')` - }) - - it('projects keyword rows only for chunks of search indexes', async () => { - await sql`INSERT INTO embedding (id, knowledge_base_id, document_id, content_tsv) VALUES - ('in-index', 'index', 'doc', to_tsvector('english', 'Release notes')), - ('in-legacy', 'legacy', 'doc', to_tsvector('english', 'Release notes'))` - expect(await keywordIds()).toEqual(['in-index']) - expect(await tinIds()).toEqual(['in-index']) - }) - - it('never reads the Tin projection for a chunk inserted outside a search index', async () => { - const scans = await sql.begin(async (tx) => { - const before = await scansOf(tx, ['embedding_keyword_tin']) - await tx`INSERT INTO embedding (id, knowledge_base_id, document_id, content_tsv) - VALUES ('in-legacy', 'legacy', 'doc', to_tsvector('english', 'Release notes'))` - return (await scansOf(tx, ['embedding_keyword_tin'])) - before - }) - expect(scans).toBe(0) - }) - - it('removes the keyword rows of a chunk that moves out of a search index', async () => { - await sql`INSERT INTO embedding (id, knowledge_base_id, document_id, content_tsv) - VALUES ('moving', 'index', 'doc', to_tsvector('english', 'Moving chunk'))` - await sql`UPDATE embedding SET knowledge_base_id = 'legacy' WHERE id = 'moving'` - expect(await keywordIds()).toEqual([]) - expect(await tinIds()).toEqual([]) - }) - - it('keeps the scoped and guarded Tin trigger when Tin is adopted after this migration', async () => { - await installProjection(sql) - const [trigger] = await sql<{ definition: string }[]>` - SELECT pg_get_triggerdef(oid) AS definition FROM pg_trigger - WHERE tgname = 'embedding_keyword_tin_sync' AND tgrelid = 'embedding'::regclass` - expect(trigger?.definition).toContain('sim.projection_mode') - const scans = await sql.begin(async (tx) => { - const before = await scansOf(tx, ['embedding_keyword_tin']) - await tx`INSERT INTO embedding (id, knowledge_base_id, document_id, content_tsv) - VALUES ('in-legacy', 'legacy', 'doc', to_tsvector('english', 'Release notes'))` - return (await scansOf(tx, ['embedding_keyword_tin'])) - before - }) - expect(scans).toBe(0) - }) - - it('projects a base adopted as a search index, and removes it when it is not', async () => { - await sql`INSERT INTO embedding (id, knowledge_base_id, document_id, enabled, content_tsv) VALUES - ('legacy-1', 'legacy', 'doc', true, to_tsvector('english', 'Quarterly planning')), - ('legacy-2', 'legacy', 'doc', false, to_tsvector('english', 'Draft agenda'))` - await sql`UPDATE knowledge_base SET is_search_index = true WHERE id = 'legacy'` - expect(await sql`SELECT id, enabled FROM embedding_keyword_search ORDER BY id`).toMatchObject([ - { id: 'legacy-1', enabled: true }, - { id: 'legacy-2', enabled: false }, - ]) - await sql`UPDATE knowledge_base SET is_search_index = false WHERE id = 'legacy'` - expect(await keywordIds()).toEqual([]) - }) - - it('leaves a current keyword row unwritten when its base is adopted', async () => { - await sql`INSERT INTO embedding (id, knowledge_base_id, document_id, content_tsv) - VALUES ('kept', 'legacy', 'doc', to_tsvector('english', 'Kept chunk'))` - /** A row written before the projection was scoped, already current. */ - await sql`INSERT INTO embedding_keyword_search (id, knowledge_base_id, document_id, enabled, content_tsv) - SELECT id, knowledge_base_id, document_id, enabled, content_tsv FROM embedding WHERE id = 'kept'` - const updated = await sql.begin(async (tx) => { - const read = async () => { - const [row] = await tx>` - SELECT n_tup_upd::int AS updated FROM pg_stat_xact_user_tables - WHERE relid = 'embedding_keyword_search'::regclass` - return row.updated - } - const before = await read() - await tx`UPDATE knowledge_base SET is_search_index = true WHERE id = 'legacy'` - return (await read()) - before - }) - expect(updated).toBe(0) - expect(await keywordIds()).toEqual(['kept']) - }) - - it('projects a chunk whose insert commits while its base is being adopted', async () => { - let inserted!: () => void - const insertedSignal = new Promise((resolve) => { - inserted = resolve - }) - let release!: () => void - const released = new Promise((resolve) => { - release = resolve - }) - const writer = sql.begin(async (tx) => { - await tx`INSERT INTO embedding (id, knowledge_base_id, document_id, content_tsv) - VALUES ('racing', 'legacy', 'doc', to_tsvector('english', 'Racing chunk'))` - inserted() - await released - }) - await insertedSignal - const [{ pid }] = await other`SELECT pg_backend_pid() AS pid` - const adoption = - other`UPDATE knowledge_base SET is_search_index = true WHERE id = 'legacy'`.execute() - await waitUntilBlocked(admin, pid) - release() - await writer - await adoption - expect(await keywordIds()).toEqual(['racing']) - }) - - it('projects a chunk inserted while the adoption of its base is uncommitted', async () => { - let adopted!: () => void - const adoptedSignal = new Promise((resolve) => { - adopted = resolve - }) - let release!: () => void - const released = new Promise((resolve) => { - release = resolve - }) - const adoption = other.begin(async (tx) => { - await tx`UPDATE knowledge_base SET is_search_index = true WHERE id = 'legacy'` - adopted() - await released - }) - await adoptedSignal - const [{ pid }] = await sql`SELECT pg_backend_pid() AS pid` - const insert = sql`INSERT INTO embedding (id, knowledge_base_id, document_id, content_tsv) - VALUES ('waiting', 'legacy', 'doc', to_tsvector('english', 'Waiting chunk'))`.execute() - await waitUntilBlocked(admin, pid) - release() - await adoption - await insert - expect(await keywordIds()).toEqual(['waiting']) - }) - - /** - * Adopts `legacy` while a second connection holds a delete of one of its chunks open, and resolves - * once both have committed. - */ - async function adoptWhileDeleting(): Promise { - await sql`INSERT INTO embedding (id, knowledge_base_id, document_id, content_tsv) VALUES - ('kept', 'legacy', 'doc', to_tsvector('english', 'Kept chunk')), - ('deleted', 'legacy', 'doc', to_tsvector('english', 'Deleted chunk'))` - let deleted!: () => void - const deletedSignal = new Promise((resolve) => { - deleted = resolve - }) - let release!: () => void - const released = new Promise((resolve) => { - release = resolve - }) - const deleter = sql.begin(async (tx) => { - await tx`DELETE FROM embedding WHERE id = 'deleted'` - deleted() - await released - }) - await deletedSignal - const [{ pid }] = await other`SELECT pg_backend_pid() AS pid` - const adoption = - other`UPDATE knowledge_base SET is_search_index = true WHERE id = 'legacy'`.execute() - await waitUntilBlocked(admin, pid) - release() - await deleter - await adoption - } - - it('adopts a base while one of its chunks is being deleted', async () => { - await adoptWhileDeleting() - expect(await keywordIds()).toEqual(['kept']) - expect(await tinIds()).toEqual(['kept']) - }) - - it('adopts a base into Tin while a chunk is being deleted, with no keyword trigger ahead of it', async () => { - await sql`ALTER TABLE knowledge_base DISABLE TRIGGER knowledge_base_keyword_search_sync` - try { - await adoptWhileDeleting() - } finally { - await sql`ALTER TABLE knowledge_base ENABLE TRIGGER knowledge_base_keyword_search_sync` - } - expect(await tinIds()).toEqual(['kept']) - }) - - it('runs no fan-out for an inserted document, and still fans out a changed ACL', async () => { - const projections = ['embedding_search', 'embedding_keyword_tin'] as const - const scans = await sql.begin(async (tx) => { - const before = await scansOf(tx, projections) - await tx`INSERT INTO document (id, connector_id, acl) VALUES ('new', 'src', ARRAY['u:alice'])` - return (await scansOf(tx, projections)) - before - }) - expect(scans).toBe(0) - - await sql`INSERT INTO embedding (id, knowledge_base_id, document_id, content_tsv) - VALUES ('chunk', 'index', 'new', to_tsvector('english', 'Shared chunk'))` - await sql`INSERT INTO embedding_search (id, document_id) VALUES ('chunk', 'new')` - await sql`UPDATE document SET acl = ARRAY['u:bob'] WHERE id = 'new'` - for (const projection of projections) { - expect(await sql`SELECT acl FROM ${sql(projection)} WHERE id = 'chunk'`).toEqual([ - { acl: ['u:bob'] }, - ]) - } - }) -}) diff --git a/packages/db/script-migrations/0025_scope_keyword_projections.ts b/packages/db/script-migrations/0025_scope_keyword_projections.ts deleted file mode 100644 index cac41532ca3..00000000000 --- a/packages/db/script-migrations/0025_scope_keyword_projections.ts +++ /dev/null @@ -1,172 +0,0 @@ -import { - installMembershipKey, - installTinChunkSync, - installTinMembershipSync, -} from '@sim/db/script-migrations/0019_tin_keyword_projection' -import { resolveMigrationDatabaseUrl } from '@sim/db/script-migrations/database-url' -import type { ScriptMigration } from '@sim/db/script-migrations/types' -import { createLogger } from '@sim/logger' -import postgres, { type Sql, type TransactionSql } from 'postgres' -import { retryOnLockTimeout } from '../scripts/lock-timeout-retry' - -const logger = createLogger('ScopeKeywordProjections') - -/** Each attempt's wait for the table locks the triggers need; the retries find a quiet moment. */ -const TRIGGER_LOCK_TIMEOUT = '5s' -const TRIGGER_LOCK_RETRY_BUDGET_MS = 20 * 60_000 -const TRIGGER_LOCK_RETRY_BACKOFF = { baseMs: 2_000, maxMs: 30_000 } as const - -/** The columns a GIN keyword row copies from its chunk. */ -const KEYWORD_SEARCH_COLUMNS = [ - 'knowledge_base_id', - 'document_id', - 'enabled', - 'content_tsv', -] as const - -/** - * How both GIN keyword writers bring an existing row (aliased `s`) up to its chunk. A row already - * current is left unwritten, as the projector's upserts leave it, so adopting a base whose rows - * survived rewrites only what changed while it holds the membership lock. - */ -const KEYWORD_SEARCH_UPSERT = `ON CONFLICT (id) DO UPDATE SET - ${KEYWORD_SEARCH_COLUMNS.map((column) => `${column} = EXCLUDED.${column}`).join(', ')} - WHERE (${KEYWORD_SEARCH_COLUMNS.map((column) => `s.${column}`).join(', ')}) - IS DISTINCT FROM (${KEYWORD_SEARCH_COLUMNS.map((column) => `EXCLUDED.${column}`).join(', ')})` - -/** - * The GIN keyword projection's chunk trigger, scoped to search indexes as the Tin projection is: - * it shares the base's membership lock before reading the marker, so a marker change in flight is - * waited for and read under a fresh snapshot. A chunk outside a search index writes nothing, and an - * update removes a row it left behind by moving out of one. - */ -async function installKeywordSearchSync(tx: TransactionSql): Promise { - await tx.unsafe(`CREATE OR REPLACE FUNCTION sync_embedding_keyword_search() - RETURNS trigger LANGUAGE plpgsql AS $$ - BEGIN - PERFORM pg_advisory_xact_lock_shared(knowledge_tin_membership_key(NEW.knowledge_base_id)); - IF NOT EXISTS ( - SELECT 1 FROM knowledge_base WHERE id = NEW.knowledge_base_id AND is_search_index - ) THEN - IF TG_OP = 'UPDATE' THEN - DELETE FROM embedding_keyword_search WHERE id = NEW.id; - END IF; - RETURN NEW; - END IF; - INSERT INTO embedding_keyword_search AS s (id, knowledge_base_id, document_id, enabled, content_tsv) - VALUES (NEW.id, NEW.knowledge_base_id, NEW.document_id, NEW.enabled, NEW.content_tsv) - ${KEYWORD_SEARCH_UPSERT}; - RETURN NEW; - END; - $$`) -} - -/** - * Projects or removes a whole base's GIN keyword rows when its search-index marker changes, under - * the membership lock taken exclusively, as the Tin projection's knowledge base trigger does. It is - * its own trigger because that one exists only where Tin is installed. The chunks are key-share - * locked as they are read, as the projection backfills lock theirs: a chunk delete in flight is - * waited for and its chunk skipped, rather than failing the adoption on the row's foreign key. - */ -async function installKeywordSearchMembership(tx: TransactionSql): Promise { - await tx.unsafe(`CREATE OR REPLACE FUNCTION sync_knowledge_base_keyword_search() - RETURNS trigger LANGUAGE plpgsql AS $$ - BEGIN - PERFORM pg_advisory_xact_lock(knowledge_tin_membership_key(NEW.id)); - IF NOT NEW.is_search_index THEN - DELETE FROM embedding_keyword_search WHERE knowledge_base_id = NEW.id; - RETURN NEW; - END IF; - INSERT INTO embedding_keyword_search AS s (id, knowledge_base_id, document_id, enabled, content_tsv) - SELECT id, knowledge_base_id, document_id, enabled, content_tsv - FROM embedding WHERE knowledge_base_id = NEW.id - ORDER BY id FOR KEY SHARE - ${KEYWORD_SEARCH_UPSERT}; - RETURN NEW; - END; - $$`) - await tx.unsafe(`CREATE OR REPLACE TRIGGER knowledge_base_keyword_search_sync - AFTER UPDATE OF is_search_index ON knowledge_base - FOR EACH ROW WHEN (OLD.is_search_index IS DISTINCT FROM NEW.is_search_index) - EXECUTE FUNCTION sync_knowledge_base_keyword_search()`) -} - -/** - * The Tin trigger bodies as `0019_tin_keyword_projection` now installs them, where that migration - * installed them: the chunk trigger without the delete an insert outside a search index ran, and - * the knowledge base trigger key-share locking the chunks it projects. - */ -async function installTinSync(tx: TransactionSql): Promise { - const [row] = await tx>` - SELECT to_regprocedure('sync_embedding_keyword_tin()') IS NOT NULL AS installed` - if (!row?.installed) return - await installTinChunkSync(tx) - await installTinMembershipSync(tx) -} - -/** - * The document trigger, firing only on an update that changes the source or ACL. An inserted - * document has no chunks yet, since a chunk's foreign key needs its document, so the fan-out it - * ran matched no row and it marked nothing; an upsert that updates still fires the update arm. Its - * body is the one `0024_knowledge_projection_async` installed. - */ -async function installDocumentTrigger(tx: TransactionSql): Promise { - await tx.unsafe(`CREATE OR REPLACE TRIGGER projection_source_acl_sync - AFTER UPDATE OF connector_id, acl ON document - FOR EACH ROW WHEN (OLD.connector_id IS DISTINCT FROM NEW.connector_id OR OLD.acl IS DISTINCT FROM NEW.acl) - EXECUTE FUNCTION sync_projection_source_acl()`) -} - -/** - * Keeps the keyword projections for search indexes only, the bases whose keyword rows indexed - * organization search ranks; every other search ranks keywords on `embedding`. Membership follows - * `knowledge_base.is_search_index` rather than the deployment's search mode, so the schema holds - * whichever mode runs. The document trigger stops firing on inserts and on updates that change - * nothing it carries. - * - * Rows already written for other bases, and those a rerun of `0016_backfill_search_vectors` writes - * before this reruns after it, are left in place: nothing reads them, and removing them is a table - * owner's maintenance, not a deploy's. All of it is installed in one transaction, so no marker change sees - * the scoped chunk trigger without the base trigger that backfills it. Each attempt waits at most - * {@link TRIGGER_LOCK_TIMEOUT} for the trigger DDL's locks and is retried within the budget. - * Idempotent. - */ -export async function scopeKeywordProjections(sql: Sql): Promise { - await retryOnLockTimeout( - () => - sql.begin(async (tx) => { - await tx.unsafe(`SET LOCAL lock_timeout = '${TRIGGER_LOCK_TIMEOUT}'`) - await installMembershipKey(tx) - await installKeywordSearchSync(tx) - await installKeywordSearchMembership(tx) - await installTinSync(tx) - await installDocumentTrigger(tx) - }), - { - budgetMs: TRIGGER_LOCK_RETRY_BUDGET_MS, - backoff: TRIGGER_LOCK_RETRY_BACKOFF, - onRetry: ({ attempt, delayMs }) => - logger.warn('Keyword projection triggers waited out their lock timeout; retrying', { - attempt, - retryInMs: Math.round(delayMs), - }), - } - ) -} - -export const scopeKeywordProjectionsMigration: ScriptMigration = { - name: '0025_scope_keyword_projections', - up: scopeKeywordProjections, -} - -/** Run directly by `db:push`, after the projection migrations it builds on. */ -if (import.meta.main) { - const url = resolveMigrationDatabaseUrl() - if (!url) throw new Error('DATABASE_URL is required to scope the keyword projections') - const sql = postgres(url, { max: 1, max_lifetime: null, onnotice: () => undefined }) - try { - await scopeKeywordProjections(sql) - } finally { - await sql.end() - } -} diff --git a/packages/db/script-migrations/0027_retire_search_embeddings.integration.ts b/packages/db/script-migrations/0027_retire_search_embeddings.integration.ts deleted file mode 100644 index 74be268a63b..00000000000 --- a/packages/db/script-migrations/0027_retire_search_embeddings.integration.ts +++ /dev/null @@ -1,743 +0,0 @@ -import { - retireSearchEmbeddings, - retireSearchEmbeddingsMigration, -} from '@sim/db/script-migrations/0027_retire_search_embeddings' -import { maintainSearchRetirementMigration } from '@sim/db/script-migrations/0028_maintain_search_retirement' -import { retireAllSearchEmbeddings } from '@sim/db/script-migrations/0029_retire_all_search_embeddings' -import { runScriptMigrations } from '@sim/db/script-migrations/index' -import { readTestDatabaseUrl } from '@sim/db/testing/test-infrastructure' -import { sleep } from '@sim/utils/helpers' -import { generateId } from '@sim/utils/id' -import postgres, { type Sql } from 'postgres' -import { afterAll, beforeAll, beforeEach, describe, expect, it } from 'vitest' - -/** Proves destructive scope, cascading integrity, and atomic restart against real PostgreSQL. */ -describe('retiring dormant Search embeddings', () => { - const schema = `search_retirement_${generateId().replaceAll('-', '')}` - let admin: Sql - let sql: Sql - - beforeAll(async () => { - admin = postgres(readTestDatabaseUrl(), { max: 1, onnotice: () => undefined }) - await admin.unsafe(`CREATE SCHEMA "${schema}"`) - sql = postgres(readTestDatabaseUrl(), { - max: 1, - /** Fixtures alternate legacy and upgraded table layouts on this connection. */ - prepare: false, - connection: { search_path: schema }, - onnotice: () => undefined, - }) - await sql`CREATE TABLE knowledge_base (id text PRIMARY KEY, is_search_index boolean NOT NULL)` - await sql`CREATE TABLE document ( - id text PRIMARY KEY, knowledge_base_id text REFERENCES knowledge_base(id), - user_excluded boolean NOT NULL DEFAULT false, enabled boolean NOT NULL DEFAULT true, - processing_queue_token text, processing_queued_at timestamp, processing_deferred_until timestamp)` - await sql`CREATE TABLE embedding ( - id text PRIMARY KEY, knowledge_base_id text REFERENCES knowledge_base(id), - document_id text REFERENCES document(id))` - await sql`CREATE TABLE embedding_search ( - id text PRIMARY KEY REFERENCES embedding(id) ON DELETE CASCADE, - vector public.vector(3) NOT NULL DEFAULT '[1,2,3]')` - await sql`CREATE TABLE embedding_keyword_search (id text PRIMARY KEY REFERENCES embedding(id) ON DELETE CASCADE)` - await sql`CREATE TABLE embedding_keyword_tin (id text PRIMARY KEY REFERENCES embedding(id) ON DELETE CASCADE)` - await sql`CREATE TABLE embedding_secret_provenance (embedding_id text PRIMARY KEY REFERENCES embedding(id) ON DELETE CASCADE)` - }) - - afterAll(async () => { - await sql?.end() - await admin.unsafe(`DROP SCHEMA "${schema}" CASCADE`) - await admin.end() - }) - - beforeEach(async () => { - await sql`TRUNCATE knowledge_base, document, embedding, embedding_search, - embedding_keyword_search, embedding_keyword_tin, embedding_secret_provenance` - await sql`DROP TABLE IF EXISTS search_embedding_cleanup_targets` - await sql`DROP TABLE IF EXISTS search_embedding_cleanup_progress` - await sql`DROP TABLE IF EXISTS script_migrations` - await sql`INSERT INTO knowledge_base VALUES ('search', true), ('ordinary', false)` - await sql`INSERT INTO document (id, knowledge_base_id, processing_queue_token) - VALUES ('search-doc', 'search', 'old-dispatch'), ('ordinary-doc', 'ordinary', 'keep-dispatch')` - await sql`INSERT INTO embedding - SELECT lpad(i::text, 5, '0'), CASE WHEN i % 2 = 0 THEN 'search' ELSE 'ordinary' END, - CASE WHEN i % 2 = 0 THEN 'search-doc' ELSE 'ordinary-doc' END - FROM generate_series(1, 1002) i` - await sql`INSERT INTO embedding_search (id) SELECT id FROM embedding` - await sql`INSERT INTO embedding_keyword_search SELECT id FROM embedding` - await sql`INSERT INTO embedding_keyword_tin SELECT id FROM embedding` - await sql`INSERT INTO embedding_secret_provenance SELECT id FROM embedding` - }) - - async function pass() { - await runScriptMigrations(sql, [retireSearchEmbeddingsMigration]) - const receipts = await sql`SELECT name FROM script_migrations - WHERE name = '0027_retire_search_embeddings'` - return receipts.length === 1 - } - - it('does nothing without Search data', async () => { - await sql`UPDATE knowledge_base SET is_search_index = false` - expect(await pass()).toBe(true) - expect((await sql`SELECT count(*)::int AS n FROM embedding`)[0].n).toBe(1002) - expect( - (await sql`SELECT user_excluded FROM document WHERE id = 'search-doc'`)[0].user_excluded - ).toBe(false) - }) - - it('retires every Search KB while preserving configuration and ordinary documents', async () => { - await sql`INSERT INTO knowledge_base VALUES ('second-search', true), ('empty-search', true)` - await sql`INSERT INTO document (id, knowledge_base_id, processing_queue_token) - VALUES ('second-search-doc', 'second-search', 'old-dispatch')` - await sql`INSERT INTO embedding VALUES - ('00000', 'second-search', 'second-search-doc'), ('zz-last', 'second-search', 'second-search-doc')` - await sql`INSERT INTO embedding_search (id) VALUES ('00000'), ('zz-last')` - await sql`INSERT INTO embedding_keyword_search VALUES ('00000'), ('zz-last')` - await sql`INSERT INTO embedding_keyword_tin VALUES ('00000'), ('zz-last')` - await sql`INSERT INTO embedding_secret_provenance VALUES ('00000'), ('zz-last')` - expect(await pass()).toBe(true) - expect( - ( - await sql`SELECT user_excluded, processing_queue_token FROM document WHERE id = 'search-doc'` - )[0] - ).toEqual({ user_excluded: true, processing_queue_token: null }) - expect( - (await sql`SELECT count(*)::int AS n FROM embedding WHERE knowledge_base_id = 'search'`)[0].n - ).toBe(0) - expect( - (await sql`SELECT count(*)::int AS n FROM embedding WHERE knowledge_base_id = 'ordinary'`)[0] - .n - ).toBe(501) - for (const table of [ - 'embedding_search', - 'embedding_keyword_search', - 'embedding_keyword_tin', - 'embedding_secret_provenance', - ]) { - expect((await sql.unsafe(`SELECT count(*)::int AS n FROM ${table}`))[0].n).toBe(501) - } - expect((await sql`SELECT count(*)::int AS n FROM knowledge_base`)[0].n).toBe(4) - expect((await sql`SELECT count(*)::int AS n FROM embedding`)[0].n).toBe(501) - expect( - ( - await sql`SELECT user_excluded, enabled, processing_queue_token FROM document - WHERE id = 'second-search-doc'` - )[0] - ).toEqual({ user_excluded: true, enabled: false, processing_queue_token: null }) - expect( - ( - await sql`SELECT user_excluded, processing_queue_token FROM document WHERE id = 'ordinary-doc'` - )[0] - ).toEqual({ user_excluded: false, processing_queue_token: 'keep-dispatch' }) - expect(await pass()).toBe(true) - }) - - it.each([ - { phase: 'documents', legacy: 'present', otherSearch: true }, - { phase: 'embeddings', legacy: 'present', otherSearch: true }, - { phase: 'done', legacy: 'present', otherSearch: true }, - { phase: 'done', legacy: 'deleted', otherSearch: true }, - { phase: 'done', legacy: 'ordinary', otherSearch: true }, - { phase: 'done', legacy: 'deleted', otherSearch: false }, - ] as const)( - 'upgrades a legacy $phase checkpoint with a $legacy KB (other Search KBs: $otherSearch)', - async ({ phase, legacy, otherSearch }) => { - if (otherSearch) { - await sql`INSERT INTO knowledge_base VALUES ('second-search', true)` - await sql`INSERT INTO document (id, knowledge_base_id) - VALUES ('aaa-second-doc', 'second-search')` - await sql`INSERT INTO embedding VALUES ('00000', 'second-search', 'aaa-second-doc')` - await sql`INSERT INTO embedding_search (id) VALUES ('00000')` - } - await sql`UPDATE document SET user_excluded = true, enabled = false, - processing_queue_token = NULL WHERE knowledge_base_id = 'search'` - await sql`CREATE TABLE search_embedding_cleanup_progress ( - id integer PRIMARY KEY CHECK (id = 1), knowledge_base_id text NOT NULL, - phase text NOT NULL CHECK (phase IN ('documents', 'embeddings', 'done')), - after_id text NOT NULL, reindexed_through text NOT NULL DEFAULT '', - vacuumed_tables integer NOT NULL DEFAULT 0)` - await sql`INSERT INTO search_embedding_cleanup_progress - VALUES (1, 'search', ${phase}, ${phase === 'documents' ? 'search-doc' : '00050'}, 'legacy_hnsw_idx', 6)` - await sql`CREATE INDEX legacy_hnsw_idx ON embedding_search USING hnsw (vector public.vector_l2_ops)` - const [original] = await sql`SELECT to_regclass('legacy_hnsw_idx')::oid AS oid` - await sql`CREATE TABLE script_migrations (name text PRIMARY KEY, applied_at timestamptz DEFAULT now())` - if (phase === 'embeddings') { - await sql`DELETE FROM embedding WHERE knowledge_base_id = 'search' AND id <= '00050'` - } - if (phase === 'done') { - await sql`DELETE FROM embedding WHERE knowledge_base_id = 'search'` - await sql`INSERT INTO script_migrations (name) - VALUES ('0027_retire_search_embeddings'), ('0028_maintain_search_retirement')` - } - if (legacy === 'deleted') { - await sql`DELETE FROM document WHERE knowledge_base_id = 'search'` - await sql`DELETE FROM knowledge_base WHERE id = 'search'` - } else if (legacy === 'ordinary') { - await sql`UPDATE knowledge_base SET is_search_index = false WHERE id = 'search'` - await sql`UPDATE document SET user_excluded = false, enabled = true, - processing_queue_token = 'keep-dispatch' WHERE id = 'search-doc'` - await sql`INSERT INTO embedding VALUES ('new-ordinary-chunk', 'search', 'search-doc')` - await sql`INSERT INTO embedding_search (id) VALUES ('new-ordinary-chunk')` - } - const migrations = [retireAllSearchEmbeddings()] - try { - await runScriptMigrations(sql, migrations) - const preserved = legacy === 'ordinary' ? 502 : 501 - expect((await sql`SELECT count(*)::int AS n FROM embedding`)[0].n).toBe(preserved) - expect((await sql`SELECT count(*)::int AS n FROM embedding_search`)[0].n).toBe(preserved) - if (otherSearch) { - expect( - (await sql`SELECT user_excluded, enabled FROM document WHERE id = 'aaa-second-doc'`)[0] - ).toEqual({ user_excluded: true, enabled: false }) - } - if (legacy === 'ordinary') { - expect( - ( - await sql`SELECT user_excluded, enabled, processing_queue_token FROM document WHERE id = 'search-doc'` - )[0] - ).toEqual({ - user_excluded: false, - enabled: true, - processing_queue_token: 'keep-dispatch', - }) - } - const [rebuilt] = await sql`SELECT to_regclass('legacy_hnsw_idx')::oid AS oid` - if (otherSearch) expect(rebuilt.oid).not.toBe(original.oid) - else expect(rebuilt.oid).toBe(original.oid) - expect( - await sql`SELECT name FROM script_migrations WHERE name = '0029_retire_all_search_embeddings'` - ).toHaveLength(1) - await runScriptMigrations(sql, migrations) - expect((await sql`SELECT to_regclass('legacy_hnsw_idx')::oid AS oid`)[0].oid).toBe( - rebuilt.oid - ) - } finally { - await sql`DROP INDEX legacy_hnsw_idx` - } - } - ) - - it.each(['embeddings', 'done'] as const)( - 'rejects changed markers outside the current page when resuming %s', - async (phase) => { - await sql`INSERT INTO knowledge_base VALUES ('empty-search', true)` - if (phase === 'done') { - await pass() - await sql`DELETE FROM script_migrations` - await sql`UPDATE knowledge_base SET is_search_index = false WHERE id = 'empty-search'` - } - await sql`CREATE FUNCTION change_empty_search_marker() RETURNS trigger LANGUAGE plpgsql AS $$ - BEGIN - UPDATE knowledge_base SET is_search_index = false WHERE id = 'empty-search'; - RETURN NULL; - END $$` - await sql`CREATE TRIGGER change_empty_search_marker AFTER DELETE ON embedding - FOR EACH STATEMENT EXECUTE FUNCTION change_empty_search_marker()` - try { - await expect(pass()).rejects.toThrow('no longer a Search knowledge base') - expect(await sql`SELECT name FROM script_migrations`).toHaveLength(0) - expect((await sql`SELECT count(*)::int AS n FROM embedding`)[0].n).toBe(501) - await sql`DROP TRIGGER change_empty_search_marker ON embedding` - await sql`UPDATE knowledge_base SET is_search_index = true WHERE id = 'empty-search'` - expect(await pass()).toBe(true) - expect((await sql`SELECT count(*)::int AS n FROM embedding`)[0].n).toBe(501) - } finally { - await sql`DROP TRIGGER IF EXISTS change_empty_search_marker ON embedding` - await sql`DROP FUNCTION change_empty_search_marker()` - } - } - ) - - it('rolls back failed pages, rechecks every target marker, and resumes the frozen scope', async () => { - await sql`INSERT INTO embedding - SELECT lpad(i::text, 5, '0'), 'search', 'search-doc' FROM generate_series(1003, 26002) i` - await sql`INSERT INTO knowledge_base VALUES ('second-search', true)` - await sql`INSERT INTO document (id, knowledge_base_id) VALUES ('second-search-doc', 'second-search')` - await sql`INSERT INTO embedding VALUES ('26003', 'second-search', 'second-search-doc')` - await sql`CREATE TABLE deletion_blocker (id text REFERENCES embedding(id))` - await sql`INSERT INTO deletion_blocker VALUES ('26002')` - /** - * Pages split by mutated rows under an adaptive limit, so how far each failed run gets depends - * on page geometry. The geometry-free invariant: every committed delete sits at or behind the - * cursor, and a failed page leaves every row past it (IDs 00001-26003 are contiguous). - */ - async function expectRolledBackPastCursor() { - const [progress] = await sql`SELECT phase, after_id FROM search_embedding_cleanup_progress` - expect(progress.phase).toBe('embeddings') - const [beyond] = - await sql`SELECT count(*)::int AS n FROM embedding WHERE id > ${progress.after_id}` - expect(beyond.n).toBe(26003 - Number(progress.after_id)) - expect(progress.after_id < '26002').toBe(true) - } - await expect(pass()).rejects.toThrow() - const [remaining] = await sql`SELECT count(*)::int AS n FROM embedding` - expect(remaining.n).toBeGreaterThan(501) - expect(remaining.n).toBeLessThan(26002) - expect(await sql`SELECT name FROM script_migrations`).toHaveLength(0) - await expectRolledBackPastCursor() - await sql`UPDATE knowledge_base SET is_search_index = false WHERE id = 'second-search'` - await expect(pass()).rejects.toThrow('no longer a Search knowledge base') - await expectRolledBackPastCursor() - await sql`UPDATE knowledge_base SET is_search_index = true WHERE id = 'second-search'` - await expect(pass()).rejects.toThrow() - await expectRolledBackPastCursor() - await sql`DROP TABLE deletion_blocker` - await sql`INSERT INTO document (id, knowledge_base_id) VALUES ('aaa-late-document', 'search')` - await sql`INSERT INTO embedding VALUES ('00000', 'search', 'aaa-late-document')` - await sql`INSERT INTO knowledge_base VALUES ('other-search', true)` - await sql`INSERT INTO document (id, knowledge_base_id, processing_queue_token) - VALUES ('other-search-doc', 'other-search', 'keep-dispatch')` - await sql`INSERT INTO embedding VALUES ('other-search-chunk', 'other-search', 'other-search-doc')` - expect(await pass()).toBe(true) - expect( - (await sql`SELECT user_excluded FROM document WHERE id = 'aaa-late-document'`)[0] - .user_excluded - ).toBe(true) - expect((await sql`SELECT count(*)::int AS n FROM embedding`)[0].n).toBe(502) - expect( - ( - await sql`SELECT user_excluded, processing_queue_token FROM document WHERE id = 'other-search-doc'` - )[0] - ).toEqual({ user_excluded: false, processing_queue_token: 'keep-dispatch' }) - }) - - it('finishes beyond the former page budget and journals completion in one invocation', async () => { - await sql`INSERT INTO document (id, knowledge_base_id) - SELECT 'bulk-doc-' || i::text, 'search' FROM generate_series(1, 51002) i` - await sql`INSERT INTO embedding - SELECT lpad(i::text, 5, '0'), 'search', 'search-doc' FROM generate_series(1003, 51002) i` - await runScriptMigrations(sql, [ - retireSearchEmbeddingsMigration, - maintainSearchRetirementMigration, - ]) - expect(await sql`SELECT name FROM script_migrations`).toHaveLength(2) - expect((await sql`SELECT count(*)::int AS n FROM embedding`)[0].n).toBe(501) - expect( - ( - await sql`SELECT count(*)::int AS n FROM document - WHERE knowledge_base_id = 'search' AND (NOT user_excluded OR enabled)` - )[0].n - ).toBe(0) - }, 60_000) - - it('splits pages whose writes would outrun the statement timeout and resumes at the split', async () => { - const bound = 300 - await sql`INSERT INTO document (id, knowledge_base_id, user_excluded, enabled) - SELECT 'doc-' || lpad(i::text, 5, '0'), CASE WHEN i % 3 = 0 THEN 'ordinary' ELSE 'search' END, - i % 7 = 0, i % 7 <> 0 - FROM generate_series(1, 4000) i` - await sql`INSERT INTO embedding - SELECT lpad(i::text, 5, '0'), CASE WHEN i % 3 = 0 THEN 'ordinary' ELSE 'search' END, - CASE WHEN i % 3 = 0 THEN 'ordinary-doc' ELSE 'search-doc' END - FROM generate_series(1003, 5002) i` - await sql`CREATE TABLE committed_statement (rows integer NOT NULL)` - /** Sequences are not transactional, so this counts the timed-out statements that rolled back. */ - await sql`CREATE SEQUENCE timed_out_statement` - /** Stands in for write cost: a statement touching more than `bound` rows times out and rolls back. */ - await sql.unsafe(`CREATE FUNCTION bound_statement_rows() RETURNS trigger LANGUAGE plpgsql AS $$ - DECLARE touched integer; - BEGIN - SELECT count(*) INTO touched FROM changed_rows; - IF touched > ${bound} THEN - PERFORM nextval('timed_out_statement'); - RAISE EXCEPTION 'canceling statement due to statement timeout' USING ERRCODE = 'query_canceled'; - END IF; - INSERT INTO committed_statement VALUES (touched); - RETURN NULL; - END $$`) - await sql`CREATE TRIGGER bound_document_update AFTER UPDATE ON document - REFERENCING NEW TABLE AS changed_rows FOR EACH STATEMENT EXECUTE FUNCTION bound_statement_rows()` - await sql`CREATE TRIGGER bound_embedding_delete AFTER DELETE ON embedding - REFERENCING OLD TABLE AS changed_rows FOR EACH STATEMENT EXECUTE FUNCTION bound_statement_rows()` - try { - expect(await pass()).toBe(true) - const [{ largest, total }] = await sql`SELECT max(rows)::int AS largest, - sum(rows)::int AS total FROM committed_statement` - expect(largest).toBeLessThanOrEqual(bound) - expect(largest).toBeGreaterThan(0) - /** - * The limit halves 2,000 → 1,000 → 500 → 250 on the first document page and never grows back - * to a size that timed out, in either phase: exactly three rolled-back statements. A page - * that read past its row limit in either phase would time out again. - */ - const [{ timeouts }] = await sql`SELECT last_value::int AS timeouts FROM timed_out_statement` - expect(timeouts).toBe(3) - /** - * Documents: i % 3 <> 0 gives 2,667 Search rows, of which i % 7 = 0 leaves 381 retired, so - * 2,286 are updated, plus `search-doc`. Chunks: 501 Search rows from the fixture plus the - * 2,667 with i % 3 <> 0 among 1003-5002. Equality proves no row was mutated twice. - */ - expect(total).toBe(2287 + 3168) - expect( - ( - await sql`SELECT count(*)::int AS n FROM document - WHERE knowledge_base_id = 'search' AND (NOT user_excluded OR enabled)` - )[0].n - ).toBe(0) - expect( - ( - await sql`SELECT count(*)::int AS n FROM document - WHERE knowledge_base_id = 'ordinary' AND NOT user_excluded AND enabled` - )[0].n - /** `ordinary-doc` plus the 1,333 i % 3 = 0 rows, less the 190 of them seeded retired. */ - ).toBe(1 + 1333 - 190) - expect( - (await sql`SELECT count(*)::int AS n FROM embedding WHERE knowledge_base_id = 'search'`)[0] - .n - ).toBe(0) - expect( - ( - await sql`SELECT count(*)::int AS n FROM embedding WHERE knowledge_base_id = 'ordinary'` - )[0].n - /** 501 fixture chunks plus the 1,333 i % 3 = 0 rows among 1003-5002. */ - ).toBe(501 + 1333) - } finally { - await sql`DROP TRIGGER IF EXISTS bound_document_update ON document` - await sql`DROP TRIGGER IF EXISTS bound_embedding_delete ON embedding` - await sql`DROP FUNCTION bound_statement_rows()` - await sql`DROP TABLE committed_statement` - await sql`DROP SEQUENCE timed_out_statement` - } - }, 60_000) - - it('bounds the IDs each page reads by the row limit once the limit shrinks', async () => { - const docs = 3000 - const bound = 25 - await sql`INSERT INTO document (id, knowledge_base_id) - SELECT 'doc-' || lpad(i::text, 5, '0'), 'search' FROM generate_series(1, ${docs}) i` - /** Statements over `bound` rows time out, which pins the row limit at its 25-row floor. */ - await sql.unsafe(`CREATE FUNCTION bound_document_update() RETURNS trigger LANGUAGE plpgsql AS $$ - BEGIN - IF (SELECT count(*) FROM changed_rows) > ${bound} THEN - RAISE EXCEPTION 'canceling statement due to statement timeout' USING ERRCODE = 'query_canceled'; - END IF; - RETURN NULL; - END $$`) - await sql`CREATE TRIGGER bound_document_update AFTER UPDATE ON document - REFERENCING NEW TABLE AS changed_rows FOR EACH STATEMENT EXECUTE FUNCTION bound_document_update()` - /** - * On a table this small the planner may answer any page with a sequential or bitmap scan, which - * reads every remaining row whatever the window, and which one it picks depends on whether - * autovacuum has analyzed the fresh rows. Production pages walk the primary key, so the test - * analyzes the table and pins that plan. - */ - await sql`ANALYZE document` - await sql`SET enable_seqscan = off` - await sql`SET enable_bitmapscan = off` - /** Document rows read by any scan, counted across committed and rolled-back pages alike. */ - async function documentReads() { - await sql`SELECT pg_stat_force_next_flush()` - await admin`SELECT pg_stat_clear_snapshot()` - const [row] = await admin`SELECT (seq_tup_read + coalesce(idx_tup_fetch, 0))::int AS n - FROM pg_stat_user_tables WHERE schemaname = ${schema} AND relname = 'document'` - return row.n - } - try { - const before = await documentReads() - expect(await pass()).toBe(true) - const reads = (await documentReads()) - before - /** - * About 120 pages retire the 3,001 documents 25 at a time once the limit has halved down to - * its floor. A window of four IDs per row reads about 100 IDs and 25 update lookups per page, - * roughly 5 reads per document, plus the chunk phase and completion rechecks. A fixed - * 25,000-ID window re-reads the rest of the table on every attempt, over 100 per document. - */ - expect(reads).toBeLessThan(30 * docs) - expect( - ( - await sql`SELECT count(*)::int AS n FROM document - WHERE knowledge_base_id = 'search' AND (NOT user_excluded OR enabled)` - )[0].n - ).toBe(0) - } finally { - await sql`RESET enable_seqscan` - await sql`RESET enable_bitmapscan` - await sql`DROP TRIGGER IF EXISTS bound_document_update ON document` - await sql`DROP FUNCTION bound_document_update()` - } - }, 120_000) - - it('gives the completed-retirement recheck the completion timeout when it resumes', async () => { - expect(await pass()).toBe(true) - await sql`DELETE FROM script_migrations` - /** Stands in for a recheck that outlasts the two-minute page timeout on a large target set. */ - await sql`CREATE FUNCTION require_recheck_timeout() RETURNS boolean LANGUAGE plpgsql AS $$ - BEGIN - IF current_setting('statement_timeout') <> '30min' THEN - RAISE EXCEPTION 'canceling statement due to statement timeout' USING ERRCODE = 'query_canceled'; - END IF; - RETURN true; - END $$` - await sql`ALTER TABLE search_embedding_cleanup_targets RENAME TO captured_targets` - await sql`CREATE VIEW search_embedding_cleanup_targets AS - SELECT knowledge_base_id FROM captured_targets WHERE require_recheck_timeout()` - try { - expect(await sql`SELECT phase FROM search_embedding_cleanup_progress`).toEqual([ - { phase: 'done' }, - ]) - expect(await pass()).toBe(true) - } finally { - await sql`DROP VIEW IF EXISTS search_embedding_cleanup_targets` - await sql`ALTER TABLE IF EXISTS captured_targets RENAME TO search_embedding_cleanup_targets` - await sql`DROP FUNCTION require_recheck_timeout()` - } - }) - - it('scans past a run of already-retired documents longer than the row limit in one page', async () => { - /** 6,000 retired Search documents exceed the initial 2,000-row limit but fit one 25,000-ID scan. */ - await sql`INSERT INTO document (id, knowledge_base_id, user_excluded, enabled) - SELECT 'doc-' || lpad(i::text, 5, '0'), 'search', true, false FROM generate_series(1, 6000) i` - await sql`INSERT INTO document (id, knowledge_base_id) - SELECT 'doc-' || lpad(i::text, 5, '0'), 'search' FROM generate_series(6001, 6010) i` - await sql`CREATE SEQUENCE document_page_statements` - await sql`CREATE FUNCTION count_document_page() RETURNS trigger LANGUAGE plpgsql AS $$ - BEGIN - PERFORM nextval('document_page_statements'); - RETURN NULL; - END $$` - /** Statement triggers fire even for zero rows, so this counts every documents-phase page. */ - await sql`CREATE TRIGGER count_document_page AFTER UPDATE ON document - FOR EACH STATEMENT EXECUTE FUNCTION count_document_page()` - try { - expect(await pass()).toBe(true) - /** One page retires the 11 unretired rows (10 bulk plus `search-doc`); one more finds the end. */ - expect((await sql`SELECT last_value::int AS n FROM document_page_statements`)[0].n).toBe(2) - expect( - ( - await sql`SELECT count(*)::int AS n FROM document - WHERE knowledge_base_id = 'search' AND (NOT user_excluded OR enabled)` - )[0].n - ).toBe(0) - } finally { - await sql`DROP TRIGGER IF EXISTS count_document_page ON document` - await sql`DROP FUNCTION count_document_page()` - await sql`DROP SEQUENCE document_page_statements` - } - }) - - it('fails at once on a timeout outside the page mutation instead of shrinking the page', async () => { - await sql`CREATE SEQUENCE completion_attempts` - /** Times out the completion checkpoint, a statement no smaller row limit can speed up. */ - await sql`CREATE FUNCTION time_out_completion() RETURNS trigger LANGUAGE plpgsql AS $$ - BEGIN - PERFORM nextval('completion_attempts'); - RAISE EXCEPTION 'canceling statement due to statement timeout' USING ERRCODE = 'query_canceled'; - END $$` - await sql`CREATE TABLE search_embedding_cleanup_progress ( - id integer PRIMARY KEY CHECK (id = 1), knowledge_base_id text NOT NULL, - phase text NOT NULL CHECK (phase IN ('documents', 'embeddings', 'done')), - after_id text NOT NULL)` - await sql`CREATE TRIGGER time_out_completion BEFORE UPDATE ON search_embedding_cleanup_progress - FOR EACH ROW WHEN (NEW.phase = 'done') EXECUTE FUNCTION time_out_completion()` - try { - await expect(pass()).rejects.toMatchObject({ code: '57014' }) - /** The sequence is not transactional, so it counts rolled-back attempts too. */ - expect((await sql`SELECT last_value::int AS n FROM completion_attempts`)[0].n).toBe(1) - expect(await sql`SELECT name FROM script_migrations`).toHaveLength(0) - expect((await sql`SELECT count(*)::int AS n FROM embedding`)[0].n).toBe(501) - await sql`DROP TRIGGER time_out_completion ON search_embedding_cleanup_progress` - expect(await pass()).toBe(true) - } finally { - await sql`DROP TRIGGER IF EXISTS time_out_completion ON search_embedding_cleanup_progress` - await sql`DROP FUNCTION time_out_completion()` - await sql`DROP SEQUENCE completion_attempts` - } - }) - - it('rejects inconsistent document ownership before deleting any chunk in the page', async () => { - await sql`UPDATE embedding SET document_id = 'ordinary-doc' WHERE id = '00002'` - await expect(pass()).rejects.toThrow('Search content changed after retirement') - expect((await sql`SELECT count(*)::int AS n FROM embedding`)[0].n).toBe(1002) - expect(await sql`SELECT name FROM script_migrations`).toHaveLength(0) - await sql`UPDATE embedding SET document_id = 'search-doc' WHERE id = '00002'` - expect(await pass()).toBe(true) - expect((await sql`SELECT count(*)::int AS n FROM embedding`)[0].n).toBe(501) - }) - - it('retries a briefly locked document page and completes in the same invocation', async () => { - const blocker = postgres(readTestDatabaseUrl(), { - max: 1, - connection: { search_path: schema }, - onnotice: () => undefined, - }) - let signalLocked!: () => void - const locked = new Promise((resolve) => { - signalLocked = resolve - }) - let release!: () => void - const released = new Promise((resolve) => { - release = resolve - }) - const holding = blocker.begin(async (tx) => { - await tx`SELECT id FROM document WHERE id = 'search-doc' FOR UPDATE` - signalLocked() - await released - }) - try { - await locked - const result = pass().then( - (complete) => ({ complete, error: undefined }), - (error: unknown) => ({ complete: false, error }) - ) - await sleep(1_500) - release() - await holding - expect(await result).toEqual({ complete: true, error: undefined }) - expect( - (await sql`SELECT count(*)::int AS n FROM embedding WHERE knowledge_base_id = 'search'`)[0] - .n - ).toBe(0) - } finally { - release() - await holding - await blocker.end() - } - }) - - it('maintains an already-retired index and resumes failed vacuum bookkeeping without rebuilding it again', async () => { - await pass() - await sql`CREATE INDEX retirement_hnsw_idx ON embedding_search USING hnsw (vector public.vector_l2_ops)` - const [original] = await sql`SELECT to_regclass('retirement_hnsw_idx')::oid AS oid` - await sql`CREATE FUNCTION interrupt_maintenance_checkpoint() RETURNS trigger LANGUAGE plpgsql AS $$ - BEGIN - IF NEW.vacuumed_tables = 2 THEN RAISE EXCEPTION 'interrupt maintenance checkpoint'; END IF; - RETURN NEW; - END $$` - await sql`CREATE TRIGGER interrupt_maintenance_checkpoint BEFORE UPDATE ON search_embedding_cleanup_progress - FOR EACH ROW EXECUTE FUNCTION interrupt_maintenance_checkpoint()` - try { - await expect(runScriptMigrations(sql, [maintainSearchRetirementMigration])).rejects.toThrow( - 'interrupt maintenance checkpoint' - ) - const [rebuilt] = - await sql`SELECT c.oid, i.indisvalid FROM pg_class c JOIN pg_index i ON i.indexrelid = c.oid - WHERE c.oid = to_regclass('retirement_hnsw_idx')` - expect(rebuilt.oid).not.toBe(original.oid) - expect(rebuilt.indisvalid).toBe(true) - expect( - await sql`SELECT reindexed_through, vacuumed_tables FROM search_embedding_cleanup_progress` - ).toEqual([{ reindexed_through: 'retirement_hnsw_idx', vacuumed_tables: 1 }]) - expect( - await sql`SELECT name FROM script_migrations WHERE name = '0028_maintain_search_retirement'` - ).toHaveLength(0) - await sql`DROP TRIGGER interrupt_maintenance_checkpoint ON search_embedding_cleanup_progress` - await runScriptMigrations(sql, [maintainSearchRetirementMigration]) - expect((await sql`SELECT to_regclass('retirement_hnsw_idx')::oid AS oid`)[0].oid).toBe( - rebuilt.oid - ) - expect( - await sql`SELECT name FROM script_migrations WHERE name = '0028_maintain_search_retirement'` - ).toHaveLength(1) - expect( - ( - await sql`SELECT reltuples::int AS n FROM pg_class WHERE oid = to_regclass('embedding_search')` - )[0].n - ).toBe(501) - await runScriptMigrations(sql, [maintainSearchRetirementMigration]) - expect((await sql`SELECT to_regclass('retirement_hnsw_idx')::oid AS oid`)[0].oid).toBe( - rebuilt.oid - ) - } finally { - await sql`DROP TRIGGER IF EXISTS interrupt_maintenance_checkpoint ON search_embedding_cleanup_progress` - await sql`DROP FUNCTION interrupt_maintenance_checkpoint()` - await sql`DROP INDEX retirement_hnsw_idx` - } - }) - - it('recovers a canceled concurrent rebuild and completes cleanup plus maintenance in one rerun', async () => { - await sql`CREATE INDEX retirement_hnsw_idx ON embedding_search USING hnsw (vector public.vector_l2_ops)` - const blocker = postgres(readTestDatabaseUrl(), { - max: 1, - connection: { search_path: schema }, - onnotice: () => undefined, - }) - let signalLocked!: () => void - const locked = new Promise((resolve) => { - signalLocked = resolve - }) - let release!: () => void - const released = new Promise((resolve) => { - release = resolve - }) - const holding = blocker.begin(async (tx) => { - await tx`UPDATE embedding_search SET vector = '[3,2,1]' WHERE id = '00001'` - signalLocked() - await released - }) - const [{ pid }] = await sql`SELECT pg_backend_pid() AS pid` - const migrations = [retireSearchEmbeddingsMigration, maintainSearchRetirementMigration] - let outcome: Promise | undefined - try { - await locked - outcome = runScriptMigrations(sql, migrations).then( - () => undefined, - (error: unknown) => error - ) - let waiting = false - for (let attempt = 0; attempt < 200; attempt++) { - const [progress] = - await admin`SELECT phase FROM pg_stat_progress_create_index WHERE pid = ${pid}` - if (progress?.phase === 'waiting for writers before build') { - waiting = true - break - } - await sleep(25) - } - expect(waiting).toBe(true) - await admin`SELECT pg_cancel_backend(${pid})` - expect(await outcome).toMatchObject({ code: '57014' }) - release() - await holding - const leftovers = - await sql`SELECT c.relname FROM pg_index i JOIN pg_class c ON c.oid = i.indexrelid - WHERE i.indrelid = to_regclass('embedding_search') AND NOT i.indisvalid` - expect(leftovers.length).toBeGreaterThan(0) - expect( - (await sql`SELECT count(*)::int AS n FROM embedding WHERE knowledge_base_id = 'search'`)[0] - .n - ).toBe(0) - await runScriptMigrations(sql, migrations) - expect( - await sql`SELECT c.relname FROM pg_index i JOIN pg_class c ON c.oid = i.indexrelid - WHERE i.indrelid = to_regclass('embedding_search') AND NOT i.indisvalid` - ).toHaveLength(0) - expect((await sql`SELECT count(*)::int AS n FROM embedding_search`)[0].n).toBe(501) - expect( - await sql`SELECT name FROM script_migrations WHERE name = '0028_maintain_search_retirement'` - ).toHaveLength(1) - } finally { - release() - await holding - await admin`SELECT pg_cancel_backend(${pid})` - await outcome - await blocker.end() - await sql`DROP INDEX retirement_hnsw_idx` - } - }) - - it('pauses after each page for the pause ratio times the page, so a manual run leaves the primary idle', async () => { - /** Every delete page takes about 100 ms; with a ratio of 3 the next page starts 300 ms after it ends. */ - await sql`CREATE TABLE delete_page_started (at timestamptz NOT NULL DEFAULT clock_timestamp())` - await sql`CREATE FUNCTION slow_delete_page() RETURNS trigger LANGUAGE plpgsql AS $$ - BEGIN INSERT INTO delete_page_started DEFAULT VALUES; PERFORM pg_sleep(0.1); RETURN NULL; END $$` - await sql`CREATE TRIGGER slow_delete_page BEFORE DELETE ON embedding - FOR EACH STATEMENT EXECUTE FUNCTION slow_delete_page()` - try { - await retireSearchEmbeddings(sql, { pauseRatio: 3, maxRows: 200 }) - expect( - (await sql`SELECT count(*)::int AS n FROM embedding WHERE knowledge_base_id = 'search'`)[0] - .n - ).toBe(0) - const starts = ( - await sql<{ at: Date }[]>`SELECT at FROM delete_page_started ORDER BY at` - ).map(({ at }) => at.getTime()) - expect(starts.length).toBeGreaterThanOrEqual(3) - for (let i = 1; i < starts.length; i++) { - expect(starts[i] - starts[i - 1]).toBeGreaterThanOrEqual(380) - } - } finally { - await sql`DROP TRIGGER slow_delete_page ON embedding` - await sql`DROP FUNCTION slow_delete_page()` - await sql`DROP TABLE delete_page_started` - } - }, 60_000) -}) diff --git a/packages/db/script-migrations/0027_retire_search_embeddings.ts b/packages/db/script-migrations/0027_retire_search_embeddings.ts index e9022b633f1..5f01f6af1ce 100644 --- a/packages/db/script-migrations/0027_retire_search_embeddings.ts +++ b/packages/db/script-migrations/0027_retire_search_embeddings.ts @@ -1,415 +1,7 @@ -import type { ScriptMigration } from '@sim/db/script-migrations/types' -import { retryOnLockTimeout } from '@sim/db/scripts/lock-timeout-retry' import { createLogger } from '@sim/logger' -import { getPostgresCancellationReason } from '@sim/utils/errors' -import { sleep } from '@sim/utils/helpers' -import type { Sql, TransactionSql } from 'postgres' -const logger = createLogger('RetireSearchEmbeddings') -/** Most IDs one page reads in primary-key order; reading is cheap next to the mutation. */ -const SCAN_PAGE_SIZE = 25_000 -/** - * A page reads at most this many IDs per row it may mutate. A page that reaches the row limit is - * re-read from its last mutated row, so a window far wider than the limit would be read again and - * again as the limit shrinks, exactly when the database is already slow. - */ -const SCAN_ROWS_PER_MUTATION = 4 -/** - * Rows one page may update or delete. Every retired document is a non-HOT update touching each of - * its indexes, and every deleted chunk cascades into its projections, so the write cost of a page, - * not its scan, is what can outrun the statement timeout. `maxRows` lowers the starting limit and - * the ceiling it may grow to. - */ -const ROW_LIMIT = { initial: 2_000, min: 25, max: 8_000 } as const -/** A page slower than this halves the row limit. */ -const SLOW_PAGE_MS = 30_000 -/** - * A page faster than this doubles the row limit, widening its scan window with it, but never back - * to a size that timed out. - */ -const FAST_PAGE_MS = SLOW_PAGE_MS / 4 -/** The longest pause after one page, however slow the page was. */ -const MAX_PAGE_PAUSE_MS = 60_000 -const LOCK_RETRY_BUDGET_MS = 60_000 - -/** - * How hard one run pushes the primary. Each page, committed or timed out, is followed by a pause of - * `pauseRatio` times the page's duration (up to a minute), so the run is busy at most - * `1 / (1 + pauseRatio)` of the time. A page is timed through its commit, so a slow synchronous - * replica or a checkpoint stall lengthens the pause by the same factor. - */ -export interface RetirementPacing { - pauseRatio: number - /** The most rows one page may update or delete, from 25 to 8,000. */ - maxRows: number -} - -export const DEFAULT_RETIREMENT_PACING: RetirementPacing = { pauseRatio: 2, maxRows: 2_000 } - -type Phase = 'documents' | 'embeddings' | 'done' - -interface PageResult { - done: boolean - /** The phase the page ran in. */ - phase: Phase - /** The cursor the page committed. */ - afterId: string - /** Rows the page updated or deleted. */ - mutated: number - /** A phase change the page committed. */ - transition?: 'embeddings' | 'documents_rescan' | 'embeddings_rescan' -} - -/** - * A statement timeout from a page's mutating statement, the only statement a smaller page speeds - * up. Any other timeout, such as a completion recheck, propagates unchanged and fails the run. - */ -class PageMutationTimeout extends Error { - override name = 'PageMutationTimeout' - constructor(readonly timeout: unknown) { - super('Search retirement page mutation timed out', { cause: timeout }) - } -} - -async function pageMutation(statement: PromiseLike): Promise { - try { - return await statement - } catch (error) { - if (getPostgresCancellationReason(error) === 'statement_timeout') { - throw new PageMutationTimeout(error) - } - throw error - } -} - -function halve(rowLimit: number): number { - return Math.max(ROW_LIMIT.min, Math.floor(rowLimit / 2)) -} - -interface Progress { - knowledge_base_id: string - phase: Phase - after_id: string -} - -/** - * Retires a frozen set of legacy Search KBs after the move to live Search. Each page commits with its - * durable cursor. Other KBs are traversed without modification. The runner owns bookkeeping, as it owns `script_migrations`. - */ -export const retireSearchEmbeddingsMigration: ScriptMigration = { - name: '0027_retire_search_embeddings', - up: (sql) => retireSearchEmbeddings(sql), -} - -/** Retires every captured target, resuming the saved cursor, paced by `pacing`. */ -export async function retireSearchEmbeddings( - sql: Sql, - pacing: RetirementPacing = DEFAULT_RETIREMENT_PACING -): Promise { - if ( - !(pacing.pauseRatio >= 0) || - !Number.isInteger(pacing.maxRows) || - pacing.maxRows < ROW_LIMIT.min || - pacing.maxRows > ROW_LIMIT.max - ) { - throw new Error( - `Search retirement pacing needs a pause ratio of at least 0 and ${ROW_LIMIT.min}-${ROW_LIMIT.max} max rows` - ) - } - const pause = (pageMs: number) => sleep(Math.min(pageMs * pacing.pauseRatio, MAX_PAGE_PAUSE_MS)) - const hasTargets = await sql.begin('isolation level repeatable read', async (tx) => { - await tx`SET LOCAL statement_timeout = '120s'` - await tx`SET LOCAL lock_timeout = '1s'` - await tx`CREATE TABLE IF NOT EXISTS search_embedding_cleanup_progress ( - id integer PRIMARY KEY CHECK (id = 1), knowledge_base_id text NOT NULL, - phase text NOT NULL CHECK (phase IN ('documents', 'embeddings', 'done')), - after_id text NOT NULL - )` - const [existing] = await tx` - SELECT knowledge_base_id, phase, after_id FROM search_embedding_cleanup_progress WHERE id = 1 FOR UPDATE` - const [snapshot] = await tx`SELECT to_regclass('search_embedding_cleanup_targets') AS relation` - if (snapshot.relation) return Boolean(existing) - if (existing && existing.phase !== 'done') { - const [target] = await tx`SELECT id FROM knowledge_base - WHERE id = ${existing.knowledge_base_id} AND is_search_index FOR SHARE` - if (!target) throw new Error('Cleanup target is no longer a Search knowledge base') - } - - /** Creating the snapshot and resetting a legacy cursor commit atomically, once. */ - await tx`CREATE TABLE search_embedding_cleanup_targets (knowledge_base_id text PRIMARY KEY)` - let afterId = '' - for (;;) { - const [page] = await tx<{ after_id: string | null }[]>` - WITH targets AS ( - INSERT INTO search_embedding_cleanup_targets (knowledge_base_id) - SELECT id FROM knowledge_base WHERE is_search_index AND id > ${afterId} - ORDER BY id LIMIT ${SCAN_PAGE_SIZE} - RETURNING knowledge_base_id - ) SELECT max(knowledge_base_id) AS after_id FROM targets` - if (page.after_id === null) break - afterId = page.after_id - } - const [first] = await tx<{ knowledge_base_id: string }[]>` - SELECT knowledge_base_id FROM search_embedding_cleanup_targets ORDER BY knowledge_base_id LIMIT 1` - if (!first) return false - await tx`ANALYZE search_embedding_cleanup_targets` - await tx`ALTER TABLE search_embedding_cleanup_progress - ADD COLUMN IF NOT EXISTS reindexed_through text NOT NULL DEFAULT '', - ADD COLUMN IF NOT EXISTS vacuumed_tables integer NOT NULL DEFAULT 0` - await tx`INSERT INTO search_embedding_cleanup_progress (id, knowledge_base_id, phase, after_id) - VALUES (1, ${first.knowledge_base_id}, 'documents', '') - ON CONFLICT (id) DO UPDATE SET knowledge_base_id = EXCLUDED.knowledge_base_id, - phase = 'documents', after_id = '', - reindexed_through = '', vacuumed_tables = 0` - return true - }) - if (!hasTargets) return - - const startedAt = Date.now() - let batches = 0 - let mutated = 0 - let rowLimit = Math.min(ROW_LIMIT.initial, pacing.maxRows) - /** The largest limit the run may still try: half of the smallest limit that timed out. */ - let ceiling = pacing.maxRows - for (;;) { - /** Timed around the whole call, so the synchronous-replication wait at commit counts. */ - const pageStartedAt = performance.now() - let page: PageResult - try { - page = await retirePage(sql, rowLimit) - } catch (error) { - if (!(error instanceof PageMutationTimeout)) throw error - /** The timed-out page rolled back with its cursor, so it is retried with fewer rows. */ - if (rowLimit <= ROW_LIMIT.min) throw error.timeout - ceiling = halve(rowLimit) - rowLimit = ceiling - logger.warn('Search retirement page timed out; retrying with fewer rows', { rowLimit }) - await pause(performance.now() - pageStartedAt) - continue - } - if (page.done) break - const pageMs = performance.now() - pageStartedAt - batches++ - mutated += page.mutated - if (page.transition) { - /** A phase change may include a full recheck, which says nothing about page cost. */ - logger.info('Search retirement phase changed', { - transition: page.transition, - batches, - mutated, - }) - } else if (pageMs > SLOW_PAGE_MS) { - rowLimit = halve(rowLimit) - logger.warn('Search retirement page was slow; halving the row limit', { - pageMs: Math.round(pageMs), - rowLimit, - }) - } else if (pageMs < FAST_PAGE_MS) { - rowLimit = Math.min(ceiling, rowLimit * 2) - } - if (batches % 10 === 0) { - logger.info('Search embedding retirement progress', { - batches, - phase: page.phase, - afterId: page.afterId, - mutated, - rowLimit, - elapsedMs: Date.now() - startedAt, - }) - } - await pause(pageMs) - } - logger.info('Selected Search knowledge bases retired', { - batches, - mutated, - elapsedMs: Date.now() - startedAt, - }) -} - -/** - * Retires one page: the target rows among the next `rowLimit * SCAN_ROWS_PER_MUTATION` IDs (at - * most `SCAN_PAGE_SIZE`), capped at `rowLimit`. - * A capped page advances the cursor only to its last mutated row, so the rest of the scan is - * read again by the next page; an uncapped page advances past its whole scan. - */ -async function retirePage(sql: Sql, rowLimit: number): Promise { - return retryOnLockTimeout( - () => - sql.begin(async (tx) => { - const scanLimit = Math.min(SCAN_PAGE_SIZE, rowLimit * SCAN_ROWS_PER_MUTATION) - await tx`SET LOCAL statement_timeout = '120s'` - await tx`SET LOCAL lock_timeout = '1s'` - const [progress] = await tx` - SELECT knowledge_base_id, phase, after_id FROM search_embedding_cleanup_progress WHERE id = 1 FOR UPDATE` - const result = (page: Partial = {}): PageResult => ({ - done: false, - phase: progress.phase, - afterId: progress.after_id, - mutated: 0, - ...page, - }) - if (progress.phase === 'done') { - /** A retry after maintenance failed rechecks every captured KB, as completion did. */ - await tx`SET LOCAL statement_timeout = '30min'` - await validateTargetMarkers(tx) - return result({ done: true }) - } - - if (progress.phase === 'documents') { - /** Already-retired documents are skipped so they never spend the row limit. */ - const [page] = await pageMutation(tx< - { after_id: string; mutated: number; invalid_target: boolean }[] - >` - WITH source_page AS MATERIALIZED ( - SELECT id, knowledge_base_id, - (NOT user_excluded OR enabled OR processing_queue_token IS NOT NULL - OR processing_queued_at IS NOT NULL OR processing_deferred_until IS NOT NULL) AS unretired - FROM document WHERE id > ${progress.after_id} ORDER BY id LIMIT ${scanLimit} - ), target_page AS MATERIALIZED ( - SELECT p.id, p.knowledge_base_id FROM source_page p - JOIN search_embedding_cleanup_targets t ON t.knowledge_base_id = p.knowledge_base_id - WHERE p.unretired ORDER BY p.id LIMIT ${rowLimit} - ), page_end AS MATERIALIZED ( - SELECT count(*) >= ${rowLimit} AS limited, max(id) AS last_target FROM target_page - ), locked_targets AS MATERIALIZED ( - SELECT kb.id, kb.is_search_index FROM knowledge_base kb - WHERE kb.id IN (SELECT knowledge_base_id FROM target_page) - ORDER BY kb.id FOR SHARE OF kb - ), invalid_target AS MATERIALIZED ( - SELECT p.id FROM target_page p - LEFT JOIN locked_targets kb ON kb.id = p.knowledge_base_id - WHERE kb.id IS NULL OR NOT kb.is_search_index LIMIT 1 - ), retired AS ( - UPDATE document d - SET user_excluded = true, enabled = false, processing_queue_token = NULL, - processing_queued_at = NULL, processing_deferred_until = NULL - FROM target_page p - WHERE d.id = p.id AND d.knowledge_base_id = p.knowledge_base_id - AND NOT EXISTS (SELECT 1 FROM invalid_target) - AND (NOT d.user_excluded OR d.enabled OR d.processing_queue_token IS NOT NULL - OR d.processing_queued_at IS NOT NULL OR d.processing_deferred_until IS NOT NULL) - RETURNING d.id - ) SELECT CASE WHEN e.limited THEN e.last_target ELSE max(p.id) END AS after_id, - (SELECT count(*) FROM retired)::int AS mutated, - EXISTS (SELECT 1 FROM invalid_target) AS invalid_target - FROM source_page p CROSS JOIN page_end e GROUP BY e.limited, e.last_target`) - if (!page) { - await tx`UPDATE search_embedding_cleanup_progress SET phase = 'embeddings', after_id = '' WHERE id = 1` - return result({ afterId: '', transition: 'embeddings' }) - } - if (page.invalid_target) - throw new Error('Cleanup target is no longer a Search knowledge base') - await tx`UPDATE search_embedding_cleanup_progress SET after_id = ${page.after_id} WHERE id = 1` - return result({ afterId: page.after_id, mutated: page.mutated }) - } - - /** Keep page IDs in PostgreSQL; foreign keys cascade projection and provenance deletes. */ - const [page] = await pageMutation(tx< - { - after_id: string - mutated: number - unretired: boolean - invalid_target: boolean - }[] - >` - WITH source_page AS MATERIALIZED ( - SELECT id, knowledge_base_id, document_id FROM embedding WHERE id > ${progress.after_id} ORDER BY id LIMIT ${scanLimit} - ), target_page AS MATERIALIZED ( - SELECT p.* FROM source_page p - JOIN search_embedding_cleanup_targets t ON t.knowledge_base_id = p.knowledge_base_id - ORDER BY p.id LIMIT ${rowLimit} - ), page_end AS MATERIALIZED ( - SELECT count(*) >= ${rowLimit} AS limited, max(id) AS last_target FROM target_page - ), locked_targets AS MATERIALIZED ( - SELECT kb.id, kb.is_search_index FROM knowledge_base kb - WHERE kb.id IN (SELECT knowledge_base_id FROM target_page) - ORDER BY kb.id FOR SHARE OF kb - ), invalid_target AS MATERIALIZED ( - SELECT p.id FROM target_page p - LEFT JOIN locked_targets kb ON kb.id = p.knowledge_base_id - WHERE kb.id IS NULL OR NOT kb.is_search_index LIMIT 1 - ), unretired AS MATERIALIZED ( - SELECT p.id FROM target_page p - JOIN document d ON d.id = p.document_id - WHERE NOT d.user_excluded OR d.knowledge_base_id <> p.knowledge_base_id LIMIT 1 - ), deleted AS ( - DELETE FROM embedding e USING target_page p - WHERE e.id = p.id AND e.knowledge_base_id = p.knowledge_base_id - AND NOT EXISTS (SELECT 1 FROM unretired) AND NOT EXISTS (SELECT 1 FROM invalid_target) - RETURNING e.id - ) SELECT CASE WHEN e.limited THEN e.last_target ELSE max(p.id) END AS after_id, - (SELECT count(*) FROM deleted)::int AS mutated, - EXISTS (SELECT 1 FROM unretired) AS unretired, - EXISTS (SELECT 1 FROM invalid_target) AS invalid_target - FROM source_page p CROSS JOIN page_end e GROUP BY e.limited, e.last_target`) - if (page?.invalid_target) - throw new Error('Cleanup target is no longer a Search knowledge base') - if (page?.unretired) - throw new Error('Search content changed after retirement; stop writers before resuming') - if (!page) { - /** - * A late insert may sort behind either UUID cursor; completion must recheck the target. - * These rechecks walk every captured KB once, which no single page does. - */ - await tx`SET LOCAL statement_timeout = '30min'` - logger.info('Rechecking captured Search knowledge bases before completion') - const [unretired] = await tx`SELECT d.id FROM document d - JOIN search_embedding_cleanup_targets t ON t.knowledge_base_id = d.knowledge_base_id - WHERE (NOT user_excluded OR enabled OR processing_queue_token IS NOT NULL - OR processing_queued_at IS NOT NULL OR processing_deferred_until IS NOT NULL) LIMIT 1` - if (unretired) { - await tx`UPDATE search_embedding_cleanup_progress SET phase = 'documents', after_id = '' WHERE id = 1` - return result({ afterId: '', transition: 'documents_rescan' }) - } - const [remaining] = await tx`SELECT e.id FROM embedding e - JOIN search_embedding_cleanup_targets t ON t.knowledge_base_id = e.knowledge_base_id LIMIT 1` - if (remaining) { - await tx`UPDATE search_embedding_cleanup_progress SET after_id = '' WHERE id = 1` - return result({ afterId: '', transition: 'embeddings_rescan' }) - } - await validateTargetMarkers(tx) - await tx`UPDATE search_embedding_cleanup_progress SET phase = 'done' WHERE id = 1` - return result({ done: true }) - } - await tx`UPDATE search_embedding_cleanup_progress SET after_id = ${page.after_id} WHERE id = 1` - return result({ afterId: page.after_id, mutated: page.mutated }) - }), - { - budgetMs: LOCK_RETRY_BUDGET_MS, - backoff: { baseMs: 1_000, maxMs: 5_000 }, - onRetry: ({ attempt, delayMs }) => - logger.warn('Search retirement page locked; retrying', { - attempt, - retryInMs: Math.round(delayMs), - }), - } - ) -} - -/** Validate even empty or fully scanned KBs, holding marker locks until completion commits. */ -async function validateTargetMarkers(tx: TransactionSql): Promise { - let afterId = '' - for (;;) { - const [page] = await tx<{ after_id: string | null; invalid_target: boolean }[]>` - WITH target_page AS MATERIALIZED ( - SELECT knowledge_base_id FROM search_embedding_cleanup_targets - WHERE knowledge_base_id > ${afterId} ORDER BY knowledge_base_id LIMIT ${SCAN_PAGE_SIZE} - ), locked_targets AS MATERIALIZED ( - SELECT kb.id, kb.is_search_index FROM knowledge_base kb - WHERE kb.id IN (SELECT knowledge_base_id FROM target_page) - ORDER BY kb.id FOR SHARE OF kb - ) SELECT max(p.knowledge_base_id) AS after_id, - coalesce(bool_or(kb.id IS NULL OR NOT kb.is_search_index), false) AS invalid_target - FROM target_page p LEFT JOIN locked_targets kb ON kb.id = p.knowledge_base_id` - if (page.invalid_target) throw new Error('Cleanup target is no longer a Search knowledge base') - if (page.after_id === null) return - afterId = page.after_id - } -} - -/** Historical implementation remains for migration replay tests; the unbounded CLI is retired. */ if (import.meta.main) { - logger.error( + createLogger('RetireSearchEmbeddings').error( 'Use packages/db/scripts/retire-indexed-search.ts. The legacy delete/reindex command is disabled.' ) process.exitCode = 1 diff --git a/packages/db/script-migrations/0028_maintain_search_retirement.ts b/packages/db/script-migrations/0028_maintain_search_retirement.ts deleted file mode 100644 index 747d08612c0..00000000000 --- a/packages/db/script-migrations/0028_maintain_search_retirement.ts +++ /dev/null @@ -1,113 +0,0 @@ -import type { ScriptMigration } from '@sim/db/script-migrations/types' -import { createLogger } from '@sim/logger' -import { escapeRegExp } from '@sim/utils/string' -import type { Sql } from 'postgres' - -const logger = createLogger('SearchRetirementMaintenance') -const MAINTENANCE_LOCK = 'sim:search-retirement-maintenance' -const VACUUM_TABLES = [ - 'embedding_search', - 'embedding_keyword_search', - 'embedding_keyword_tin', - 'embedding_secret_provenance', - 'embedding', - 'document', -] as const - -/** - * Runs after retirement, including on databases that already journaled 0027. Concurrent rebuilds - * and vacuum must run outside transactions; checkpoints follow each successful operation. - */ -export const maintainSearchRetirementMigration: ScriptMigration = { - name: '0028_maintain_search_retirement', - async up(sql) { - const [table] = await sql`SELECT to_regclass('search_embedding_cleanup_progress') AS relation` - if (!table.relation) return - const [retirement] = await sql`SELECT phase FROM search_embedding_cleanup_progress WHERE id = 1` - if (!retirement) return - if (retirement.phase !== 'done') - throw new Error('Search retirement must finish before maintenance') - - const [{ locked }] = - await sql`SELECT pg_try_advisory_lock(hashtextextended(${MAINTENANCE_LOCK}, 0)) AS locked` - if (!locked) throw new Error('Search retirement maintenance is already running') - const [settings] = await sql`SELECT current_setting('statement_timeout') AS statement_timeout, - current_setting('lock_timeout') AS lock_timeout` - try { - await sql.begin(async (tx) => { - await tx`SET LOCAL lock_timeout = '1s'` - await tx`SET LOCAL statement_timeout = '120s'` - await tx`ALTER TABLE search_embedding_cleanup_progress - ADD COLUMN IF NOT EXISTS reindexed_through text NOT NULL DEFAULT '', - ADD COLUMN IF NOT EXISTS vacuumed_tables integer NOT NULL DEFAULT 0` - }) - /** Concurrent maintenance waits for old snapshots without blocking ordinary table writes. */ - await sql`SET statement_timeout = 0` - await sql`SET lock_timeout = 0` - for (;;) { - const [index] = await sql<{ name: string; qualified_name: string }[]>` - SELECT c.relname::text AS name, format('%I.%I', n.nspname, c.relname) AS qualified_name - FROM pg_index i JOIN pg_class c ON c.oid = i.indexrelid - JOIN pg_namespace n ON n.oid = c.relnamespace JOIN pg_am am ON am.oid = c.relam - WHERE i.indrelid = to_regclass('embedding_search') AND am.amname = 'hnsw' - AND c.relname::text > (SELECT reindexed_through FROM search_embedding_cleanup_progress WHERE id = 1) - AND c.relname !~ '_cc(new|old)[0-9]*$' - ORDER BY c.relname::text LIMIT 1` - if (!index) break - await removeInterruptedRebuilds(sql, index.name) - const startedAt = Date.now() - logger.info('Rebuilding retired Search vector index', { index: index.name }) - await sql.unsafe(`REINDEX INDEX CONCURRENTLY ${index.qualified_name}`) - await sql`UPDATE search_embedding_cleanup_progress SET reindexed_through = ${index.name} WHERE id = 1` - logger.info('Search vector index rebuilt', { - index: index.name, - elapsedMs: Date.now() - startedAt, - }) - } - - const [progress] = await sql<{ vacuumed_tables: number }[]>` - SELECT vacuumed_tables FROM search_embedding_cleanup_progress WHERE id = 1` - for (let step = progress.vacuumed_tables; step < VACUUM_TABLES.length; step++) { - const tableName = VACUUM_TABLES[step] - const [relation] = await sql<{ qualified_name: string; can_maintain: boolean }[]>` - SELECT format('%I.%I', n.nspname, c.relname) AS qualified_name, - CASE WHEN current_setting('server_version_num')::int >= 170000 - THEN has_table_privilege(c.oid, 'MAINTAIN') - ELSE pg_has_role(c.relowner, 'USAGE') END AS can_maintain - FROM pg_class c JOIN pg_namespace n ON n.oid = c.relnamespace - WHERE c.oid = to_regclass(${tableName})` - if (!relation?.can_maintain) throw new Error(`Cannot vacuum retirement table ${tableName}`) - const startedAt = Date.now() - logger.info('Vacuuming retired Search storage', { table: tableName }) - await sql.unsafe(`VACUUM (ANALYZE, TRUNCATE FALSE) ${relation.qualified_name}`) - await sql`UPDATE search_embedding_cleanup_progress SET vacuumed_tables = ${step + 1} WHERE id = 1` - logger.info('Search storage vacuumed', { - table: tableName, - elapsedMs: Date.now() - startedAt, - }) - } - } finally { - try { - await sql`SELECT set_config('statement_timeout', ${settings.statement_timeout}, false), - set_config('lock_timeout', ${settings.lock_timeout}, false)` - } finally { - await sql`SELECT pg_advisory_unlock(hashtextextended(${MAINTENANCE_LOCK}, 0))` - } - } - }, -} - -/** PostgreSQL leaves invalid _ccnew/_ccold siblings if a concurrent rebuild is interrupted. */ -async function removeInterruptedRebuilds(sql: Sql, indexName: string): Promise { - for (;;) { - const [leftover] = await sql<{ qualified_name: string }[]>` - SELECT format('%I.%I', n.nspname, c.relname) AS qualified_name - FROM pg_index i JOIN pg_class c ON c.oid = i.indexrelid - JOIN pg_namespace n ON n.oid = c.relnamespace JOIN pg_am am ON am.oid = c.relam - WHERE i.indrelid = to_regclass('embedding_search') AND am.amname = 'hnsw' - AND NOT i.indisvalid AND c.relname ~ ${`^${escapeRegExp(indexName)}_cc(new|old)[0-9]*$`} - ORDER BY c.relname LIMIT 1` - if (!leftover) return - await sql.unsafe(`DROP INDEX CONCURRENTLY ${leftover.qualified_name}`) - } -} diff --git a/packages/db/script-migrations/0029_retire_all_search_embeddings.ts b/packages/db/script-migrations/0029_retire_all_search_embeddings.ts deleted file mode 100644 index 1e6d5263256..00000000000 --- a/packages/db/script-migrations/0029_retire_all_search_embeddings.ts +++ /dev/null @@ -1,23 +0,0 @@ -import { - type RetirementPacing, - retireSearchEmbeddings, - retireSearchEmbeddingsMigration, -} from '@sim/db/script-migrations/0027_retire_search_embeddings' -import { maintainSearchRetirementMigration } from '@sim/db/script-migrations/0028_maintain_search_retirement' -import type { ScriptMigration } from '@sim/db/script-migrations/types' - -/** - * The complete operator-run cleanup: every Search KB's retirement, then index maintenance. It is not - * in the deploy registry; the 0027 entry runs it with `--maintenance` and journals it on success. It - * supersedes single-KB retirement receipts so every database receives the expanded cleanup. - */ -export function retireAllSearchEmbeddings(pacing?: RetirementPacing): ScriptMigration { - return { - name: '0029_retire_all_search_embeddings', - supersedes: [retireSearchEmbeddingsMigration.name, maintainSearchRetirementMigration.name], - async up(sql) { - await retireSearchEmbeddings(sql, pacing) - await maintainSearchRetirementMigration.up(sql) - }, - } -} diff --git a/packages/db/script-migrations/0030_retire_keyword_writers.integration.ts b/packages/db/script-migrations/0030_retire_keyword_writers.integration.ts new file mode 100644 index 00000000000..a71bd15cd39 --- /dev/null +++ b/packages/db/script-migrations/0030_retire_keyword_writers.integration.ts @@ -0,0 +1,193 @@ +import { readFileSync } from 'node:fs' +import { + retireKeywordWriters, + retireKeywordWritersMigration, +} from '@sim/db/script-migrations/0030_retire_keyword_writers' +import { readTestDatabaseUrl } from '@sim/db/testing/test-infrastructure' +import { generateId } from '@sim/utils/id' +import postgres, { type Sql } from 'postgres' +import { afterEach, beforeEach, describe, expect, it } from 'vitest' + +const databaseUrl = readTestDatabaseUrl() +const contract = readFileSync( + new URL('../migrations/0401_retire_keyword_projection.sql', import.meta.url), + 'utf8' +).split('--> statement-breakpoint') + +describe('retired keyword projection upgrade in PostgreSQL', () => { + let admin: Sql + let sql: Sql + let writer: Sql + let schemaName: string + + beforeEach(async () => { + schemaName = `keyword_retirement_${generateId().replaceAll('-', '')}` + admin = postgres(databaseUrl, { max: 1, onnotice: () => undefined }) + await admin.unsafe(`CREATE SCHEMA "${schemaName}"`) + const options = { + max: 1, + onnotice: () => undefined, + connection: { search_path: schemaName }, + } + sql = postgres(databaseUrl, options) + writer = postgres(databaseUrl, options) + await sql`CREATE TABLE knowledge_base (id text PRIMARY KEY, is_search_index boolean NOT NULL DEFAULT true)` + await sql`CREATE TABLE document (id text PRIMARY KEY, connector_id text, acl text[])` + await sql`CREATE TABLE embedding ( + id text PRIMARY KEY, knowledge_base_id text NOT NULL REFERENCES knowledge_base(id), + document_id text NOT NULL REFERENCES document(id), enabled boolean NOT NULL DEFAULT true, + content text NOT NULL, content_tsv tsvector GENERATED ALWAYS AS (to_tsvector('english', content)) STORED + )` + await sql`CREATE TABLE embedding_search ( + id text PRIMARY KEY REFERENCES embedding(id) ON DELETE CASCADE, + document_id text NOT NULL, enabled boolean NOT NULL DEFAULT true, + connector_id text, acl text[], vector_payload text NOT NULL + )` + await sql`CREATE TABLE embedding_keyword_search ( + id text PRIMARY KEY REFERENCES embedding(id) ON DELETE CASCADE, + knowledge_base_id text NOT NULL, document_id text NOT NULL, + enabled boolean NOT NULL, content_tsv tsvector NOT NULL + )` + await sql`CREATE INDEX embedding_keyword_search_content_idx ON embedding_keyword_search USING gin(content_tsv)` + await sql`CREATE TABLE embedding_keyword_tin ( + id text PRIMARY KEY REFERENCES embedding(id) ON DELETE CASCADE, + knowledge_base_id text NOT NULL, document_id text NOT NULL, enabled boolean NOT NULL, + content text NOT NULL, connector_id text, acl text[] + )` + await sql`CREATE TABLE knowledge_projection_dirty ( + document_id text PRIMARY KEY, generation bigint NOT NULL DEFAULT 1, + content boolean NOT NULL DEFAULT false, marked_at timestamptz NOT NULL DEFAULT now() + )` + for (const [table, column] of [ + ['embedding_keyword_search', 'content_tsv'], + ['embedding_keyword_tin', 'content'], + ]) { + await sql.unsafe(`CREATE FUNCTION sync_${table}() RETURNS trigger LANGUAGE plpgsql AS $$ + BEGIN + INSERT INTO ${table} (id, knowledge_base_id, document_id, enabled, ${column}) + VALUES (NEW.id, NEW.knowledge_base_id, NEW.document_id, NEW.enabled, NEW.${column}) + ON CONFLICT (id) DO UPDATE SET ${column} = EXCLUDED.${column}; + RETURN NEW; + END $$`) + await sql.unsafe(`CREATE TRIGGER ${table}_sync AFTER INSERT OR UPDATE ON embedding + FOR EACH ROW EXECUTE FUNCTION sync_${table}()`) + } + await sql.unsafe(`CREATE FUNCTION sync_projection_source_acl() RETURNS trigger LANGUAGE plpgsql AS $$ + BEGIN + UPDATE embedding_search SET connector_id = NEW.connector_id, acl = NEW.acl WHERE document_id = NEW.id; + UPDATE embedding_keyword_tin SET connector_id = NEW.connector_id, acl = NEW.acl WHERE document_id = NEW.id; + RETURN NEW; + END $$`) + await sql`CREATE TRIGGER projection_source_acl_sync AFTER UPDATE ON document + FOR EACH ROW EXECUTE FUNCTION sync_projection_source_acl()` + await sql`INSERT INTO knowledge_base VALUES ('kb', true)` + await sql`INSERT INTO document VALUES ('doc', 'source', ARRAY['reader'])` + await sql`INSERT INTO embedding (id, knowledge_base_id, document_id, content) + VALUES ('chunk', 'kb', 'doc', 'original searchable content')` + await sql`INSERT INTO embedding_search VALUES ('chunk', 'doc', true, 'source', ARRAY['reader'], 'preserved-vector')` + await sql`UPDATE embedding_keyword_tin SET connector_id = 'source', acl = ARRAY['reader']` + }) + + afterEach(async () => { + await writer?.unsafe('ROLLBACK') + await writer?.end() + await sql?.end() + if (admin) { + await admin.unsafe(`DROP SCHEMA IF EXISTS "${schemaName}" CASCADE`) + await admin.end() + } + }) + + async function applyContract() { + const statements = contract.map((statement) => + statement.replaceAll('"public".', `"${schemaName}".`) + ) + try { + for (const statement of statements) await sql.unsafe(statement) + } catch (error) { + await sql`ROLLBACK` + throw error + } + } + + it('preserves canonical data and draining detach writes while removing obsolete maintenance', async () => { + await applyContract() + await retireKeywordWriters(sql) + await applyContract() + await retireKeywordWriters(sql) + expect( + (await sql`SELECT to_regclass('embedding_keyword_search') AS table_name`)[0].table_name + ).toBeNull() + expect(await sql`SELECT vector_payload FROM embedding_search`).toEqual([ + { vector_payload: 'preserved-vector' }, + ]) + await sql`UPDATE embedding SET content = 'updated searchable content' WHERE id = 'chunk'` + await sql`INSERT INTO embedding (id, knowledge_base_id, document_id, content) + VALUES ('new-chunk', 'kb', 'doc', 'new searchable content')` + await sql`UPDATE knowledge_base SET is_search_index = false WHERE id = 'kb'` + await sql`UPDATE document SET connector_id = 'new-source', acl = ARRAY['new-reader'] WHERE id = 'doc'` + expect(await sql`SELECT id, content, connector_id, acl FROM embedding_keyword_tin`).toEqual([ + { + id: 'chunk', + content: 'original searchable content', + connector_id: 'source', + acl: ['reader'], + }, + ]) + expect(await sql`SELECT connector_id, acl FROM embedding_search`).toEqual([ + { connector_id: 'new-source', acl: ['new-reader'] }, + ]) + expect(await sql`SELECT document_id, content FROM knowledge_projection_dirty`).toEqual([ + { document_id: 'doc', content: false }, + ]) + await sql`UPDATE embedding_keyword_tin SET connector_id = NULL + WHERE id IN (SELECT id FROM embedding_keyword_tin WHERE document_id = 'doc' AND enabled LIMIT 250)` + expect((await sql`SELECT connector_id FROM embedding_keyword_tin`)[0].connector_id).toBeNull() + await sql`DELETE FROM embedding WHERE id = 'chunk'` + expect(await sql`SELECT id FROM embedding_search`).toEqual([]) + expect(await sql`SELECT id FROM embedding_keyword_tin`).toEqual([]) + expect( + await sql`SELECT id FROM embedding WHERE content_tsv @@ plainto_tsquery('english', 'searchable')` + ).toEqual([{ id: 'new-chunk' }]) + }) + + it('refuses dependent objects and rolls back the trigger removal', async () => { + await sql`CREATE VIEW retained_dependency AS SELECT id FROM embedding_keyword_search` + await expect(applyContract()).rejects.toMatchObject({ code: '2BP01' }) + await sql`INSERT INTO embedding (id, knowledge_base_id, document_id, content) + VALUES ('after-refusal', 'kb', 'doc', 'preserved writer')` + expect(await sql`SELECT id FROM retained_dependency ORDER BY id`).toEqual([ + { id: 'after-refusal' }, + { id: 'chunk' }, + ]) + }) + + it('retries deployment after a busy writer drains', async () => { + await writer`BEGIN` + await writer`LOCK TABLE embedding IN ROW EXCLUSIVE MODE` + const release = writer`SELECT pg_sleep(0.25)`.then(() => writer`ROLLBACK`) + try { + await expect(retireKeywordWritersMigration.up(sql)).resolves.toBeUndefined() + } finally { + await release + } + await sql`UPDATE embedding SET content = 'after draining' WHERE id = 'chunk'` + expect(await sql`SELECT content FROM embedding_keyword_tin`).toEqual([ + { content: 'original searchable content' }, + ]) + }) + + it('refuses a busy source table without partially retiring its writers', async () => { + await writer`BEGIN` + await writer`LOCK TABLE embedding IN ROW EXCLUSIVE MODE` + await expect(applyContract()).rejects.toMatchObject({ code: '55P03' }) + await expect(retireKeywordWriters(sql)).rejects.toMatchObject({ code: '55P03' }) + await writer`ROLLBACK` + await sql`UPDATE embedding SET content = 'writer survived' WHERE id = 'chunk'` + expect(await sql`SELECT content FROM embedding_keyword_tin`).toEqual([ + { content: 'writer survived' }, + ]) + await applyContract() + await retireKeywordWriters(sql) + }) +}) diff --git a/packages/db/script-migrations/0030_retire_keyword_writers.ts b/packages/db/script-migrations/0030_retire_keyword_writers.ts new file mode 100644 index 00000000000..006844672c0 --- /dev/null +++ b/packages/db/script-migrations/0030_retire_keyword_writers.ts @@ -0,0 +1,57 @@ +import { installKnowledgeProjectionMarking } from '@sim/db/script-migrations/0024_knowledge_projection_async' +import { resolveMigrationDatabaseUrl } from '@sim/db/script-migrations/database-url' +import type { ScriptMigration } from '@sim/db/script-migrations/types' +import { retryOnLockTimeout } from '@sim/db/scripts/lock-timeout-retry' +import { createLogger } from '@sim/logger' +import postgres, { type Sql } from 'postgres' + +const logger = createLogger('RetireKeywordWriters') + +/** Stops retired keyword writes while keeping Tin's table available to draining detach workers. */ +export async function retireKeywordWriters(sql: Sql): Promise { + await sql.begin(async (tx) => { + await tx.unsafe("SET LOCAL lock_timeout = '100ms'") + await tx.unsafe("SET LOCAL statement_timeout = '5s'") + await tx.unsafe(`LOCK TABLE knowledge_base, embedding, document, embedding_keyword_tin + IN SHARE ROW EXCLUSIVE MODE NOWAIT`) + await tx.unsafe('DROP TRIGGER IF EXISTS embedding_keyword_search_sync ON embedding') + await tx.unsafe('DROP TRIGGER IF EXISTS knowledge_base_keyword_search_sync ON knowledge_base') + await tx.unsafe('DROP TRIGGER IF EXISTS embedding_keyword_tin_sync ON embedding') + await tx.unsafe('DROP TRIGGER IF EXISTS knowledge_base_keyword_tin_sync ON knowledge_base') + await tx.unsafe( + 'DROP TRIGGER IF EXISTS embedding_keyword_tin_source_acl_set ON embedding_keyword_tin' + ) + await tx.unsafe(`DROP FUNCTION IF EXISTS sync_embedding_keyword_search(), + sync_knowledge_base_keyword_search(), sync_embedding_keyword_tin(), + sync_knowledge_base_keyword_tin(), knowledge_tin_membership_key(text), + knowledge_tin_stream(tsvector), knowledge_tin_base_token(text) RESTRICT`) + await installKnowledgeProjectionMarking(tx) + }) +} + +export const retireKeywordWritersMigration: ScriptMigration = { + name: '0030_retire_keyword_writers', + supersedes: ['0019_tin_keyword_projection', '0025_scope_keyword_projections'], + up(sql) { + return retryOnLockTimeout(() => retireKeywordWriters(sql), { + budgetMs: 20 * 60_000, + backoff: { baseMs: 2_000, maxMs: 30_000 }, + onRetry: ({ attempt, delayMs }) => + logger.warn('Keyword retirement found busy tables; retrying', { + attempt, + retryInMs: Math.round(delayMs), + }), + }) + }, +} + +if (import.meta.main) { + const url = resolveMigrationDatabaseUrl() + if (!url) throw new Error('DATABASE_URL is required to retire keyword writers') + const sql = postgres(url, { max: 1, max_lifetime: null, onnotice: () => undefined }) + try { + await retireKeywordWritersMigration.up(sql) + } finally { + await sql.end() + } +} diff --git a/packages/db/script-migrations/index.test.ts b/packages/db/script-migrations/index.test.ts deleted file mode 100644 index faafcbfa124..00000000000 --- a/packages/db/script-migrations/index.test.ts +++ /dev/null @@ -1,53 +0,0 @@ -import type { Sql } from 'postgres' -import { describe, expect, it, vi } from 'vitest' -import { runScriptMigrations, scriptMigrations } from './index' -import { type ScriptMigration, ScriptMigrationDeferred } from './types' - -const TIN = '0019_tin_keyword_projection' - -/** Every registered migration but Tin's, so Tin is the only pending one. */ -const APPLIED_BEFORE_TIN = scriptMigrations - .filter(({ name }) => name !== TIN) - .map(({ name }) => name) - -/** A session where `applied` is already recorded and the database refuses `tin`. */ -function createSqlHarness(applied: readonly string[]) { - const recorded: string[] = [] - const run = (strings: TemplateStringsArray, ...values: unknown[]) => { - const text = strings.join('?').replace(/\s+/g, ' ').trim() - if (text.startsWith('SELECT name FROM script_migrations')) { - return Promise.resolve(applied.map((name) => ({ name }))) - } - if (text.includes('pg_available_extensions')) return Promise.resolve([{ '?column?': 1 }]) - if (text.startsWith('INSERT INTO script_migrations')) recorded.push(values[0] as string) - return Promise.resolve([]) - } - const sql = run as unknown as Sql - sql.unsafe = vi.fn(async (text: string) => { - if (text.startsWith('CREATE EXTENSION')) throw { code: '42501' } - return [] - }) as unknown as Sql['unsafe'] - sql.begin = vi.fn(async (callback) => (callback as (tx: Sql) => unknown)(sql)) as Sql['begin'] - return { sql, recorded } -} - -describe('runScriptMigrations', () => { - it('leaves a deferred migration unrecorded without failing the upgrade', async () => { - const { sql, recorded } = createSqlHarness(APPLIED_BEFORE_TIN) - await expect(runScriptMigrations(sql)).resolves.toBeUndefined() - expect(recorded).toEqual([]) - }) - - it('applies and records the migrations that follow a deferred one', async () => { - const deferring: ScriptMigration = { - name: 'test_deferring', - up: async () => { - throw new ScriptMigrationDeferred('the database refused the test migration') - }, - } - const following: ScriptMigration = { name: 'test_following', up: async () => {} } - const { sql, recorded } = createSqlHarness([]) - await expect(runScriptMigrations(sql, [deferring, following])).resolves.toBeUndefined() - expect(recorded).toEqual(['test_following']) - }) -}) diff --git a/packages/db/script-migrations/index.ts b/packages/db/script-migrations/index.ts index 084c707c333..e0a313b5327 100644 --- a/packages/db/script-migrations/index.ts +++ b/packages/db/script-migrations/index.ts @@ -4,12 +4,11 @@ import { requireKnowledgeBaseOwnerMigration } from '@sim/db/script-migrations/00 import { backfillSearchVectorsMigration } from '@sim/db/script-migrations/0016_backfill_search_vectors' import { indexSearchDocumentsMigration } from '@sim/db/script-migrations/0017_index_search_documents' import { repairWorkspaceFileContentRevisionMigration } from '@sim/db/script-migrations/0018_repair_workspace_file_content_revision' -import { tinKeywordProjectionMigration } from '@sim/db/script-migrations/0019_tin_keyword_projection' import { projectionSourceAclBackfillMigration } from '@sim/db/script-migrations/0022_projection_source_acl_backfill' import { projectionAclSkipUnfilledMigration } from '@sim/db/script-migrations/0023_projection_acl_skip_unfilled' import { knowledgeProjectionAsyncMigration } from '@sim/db/script-migrations/0024_knowledge_projection_async' -import { scopeKeywordProjectionsMigration } from '@sim/db/script-migrations/0025_scope_keyword_projections' import { userTableSchemaForWriteMigration } from '@sim/db/script-migrations/0026_user_table_schema_for_write' +import { retireKeywordWritersMigration } from '@sim/db/script-migrations/0030_retire_keyword_writers' import type { Sql } from 'postgres' import { backfillTableOrderKeys } from './0001_backfill_table_order_keys' import { backfillPausedBillingAttribution } from './0002_backfill_paused_billing_attribution' @@ -20,7 +19,7 @@ import { repairUnknownTableRowProvenanceSecondPass } from './0006_repair_unknown import { repairUnknownWorkspaceFileProvenance } from './0007_repair_unknown_workspace_file_provenance' import { backfillCredentialGroupResourcePolicies } from './0010_backfill_credential_group_resource_policies' import { remapLegacyKnowledgeConnectorCredentialsMigration } from './0011_remap_legacy_knowledge_connector_credentials' -import { type ScriptMigration, ScriptMigrationDeferred } from './types' +import type { ScriptMigration } from './types' export type { ScriptMigration } from './types' @@ -47,19 +46,17 @@ export const scriptMigrations: readonly ScriptMigration[] = [ indexSearchDocumentsMigration, /** 0358 stops new sub-millisecond revisions; this retires the ones that predate it. */ repairWorkspaceFileContentRevisionMigration, - tinKeywordProjectionMigration, /** 0022 supersedes 0021, whose synchronous backfill could not finish inside a deploy. */ projectionSourceAclBackfillMigration, /** 0023 stops document ACL changes from writing chunks the 0022 backfill has not filled. */ projectionAclSkipUnfilledMigration, /** 0024 marks changed documents for the knowledge projector and lets writers defer to it. */ knowledgeProjectionAsyncMigration, - /** 0025 keeps the keyword projections for search indexes only. */ - scopeKeywordProjectionsMigration, /** 0026 installs the schema guard every table row write takes before it validates. */ userTableSchemaForWriteMigration, + retireKeywordWritersMigration, /** - * Search retirement (0027–0029) is an operator-run maintenance command, not a deploy step: + * Search data retirement is an operator-run maintenance command, not a deploy step: * run `packages/db/scripts/retire-indexed-search.ts --help` for usage. */ ] @@ -128,13 +125,7 @@ export async function runScriptMigrations( } console.log(`Applying script migration ${migration.name}...`) const startedAt = Date.now() - try { - await migration.up(sql) - } catch (error) { - if (!(error instanceof ScriptMigrationDeferred)) throw error - console.log(`Script migration ${migration.name} deferred: ${error.message}`) - continue - } + await migration.up(sql) await sql.begin(async (tx) => { for (const name of [migration.name, ...(migration.supersedes ?? [])]) { await tx`INSERT INTO script_migrations (name) VALUES (${name}) ON CONFLICT (name) DO NOTHING` diff --git a/packages/db/script-migrations/types.ts b/packages/db/script-migrations/types.ts index 31b3c55cde2..d7008144ce0 100644 --- a/packages/db/script-migrations/types.ts +++ b/packages/db/script-migrations/types.ts @@ -35,12 +35,3 @@ export interface ScriptMigration { */ up(sql: Sql): Promise } - -/** - * Thrown by `up` to leave the migration unrecorded without failing the upgrade, - * so the next upgrade runs it again: for work this database refuses today but - * may accept later, such as an extension the migration role may not yet create. - */ -export class ScriptMigrationDeferred extends Error { - override name = 'ScriptMigrationDeferred' -} diff --git a/packages/db/scripts/prepare-push.ts b/packages/db/scripts/prepare-push.ts index a85b230a1e2..416d88ac343 100644 --- a/packages/db/scripts/prepare-push.ts +++ b/packages/db/scripts/prepare-push.ts @@ -27,13 +27,49 @@ export async function prepareForcedPush(sql: Sql): Promise { }) } +/** Retires trigger dependencies that Drizzle cannot discover inside PL/pgSQL bodies. */ +async function prepareKeywordProjectionRemoval(sql: Sql, force: boolean): Promise { + if (!force) { + const [writers] = await sql<{ present: boolean }[]>` + SELECT EXISTS ( + SELECT 1 FROM pg_trigger + WHERE (tgrelid = to_regclass('public.embedding') AND tgname = 'embedding_keyword_search_sync') + OR (tgrelid = to_regclass('public.knowledge_base') AND tgname = 'knowledge_base_keyword_search_sync') + ) AS present + ` + if (writers.present) { + throw new Error('Keyword writer retirement requires --force; no changes were applied') + } + return + } + await sql.begin(async (tx) => { + await tx`SET LOCAL lock_timeout = '100ms'` + await tx`SET LOCAL statement_timeout = '5s'` + for (const [table, trigger] of [ + ['knowledge_base', 'knowledge_base_keyword_search_sync'], + ['embedding', 'embedding_keyword_search_sync'], + ]) { + const [relation] = await tx<{ present: boolean }[]>` + SELECT to_regclass(${`public.${table}`}) IS NOT NULL AS present + ` + if (!relation.present) continue + await tx.unsafe(`LOCK TABLE public.${table} IN SHARE ROW EXCLUSIVE MODE NOWAIT`) + await tx.unsafe(`DROP TRIGGER IF EXISTS ${trigger} ON public.${table}`) + } + await tx`DROP FUNCTION IF EXISTS public.sync_embedding_keyword_search(), + public.sync_knowledge_base_keyword_search() RESTRICT` + }) +} + if (import.meta.main) { const url = process.env.DATABASE_URL if (!url) throw new Error('Missing DATABASE_URL') const sql = postgres(url, { max: 1, connect_timeout: 10 }) try { - await prepareForcedPush(sql) - createLogger('DatabasePush').info('Forced push compatibility preparation completed') + const force = process.argv.includes('--force') + if (force) await prepareForcedPush(sql) + await prepareKeywordProjectionRemoval(sql, force) + createLogger('DatabasePush').info('Schema push compatibility preparation completed') } finally { await sql.end() } diff --git a/packages/db/scripts/push.integration.ts b/packages/db/scripts/push.integration.ts index e55dcf34e8d..0017eca669a 100644 --- a/packages/db/scripts/push.integration.ts +++ b/packages/db/scripts/push.integration.ts @@ -1,7 +1,8 @@ import { spawnSync } from 'node:child_process' -import { mkdtemp, readFile, rm, writeFile } from 'node:fs/promises' +import { mkdtemp, readFile, rm, symlink, writeFile } from 'node:fs/promises' import { tmpdir } from 'node:os' import { join } from 'node:path' +import { fileURLToPath } from 'node:url' import { prepareForcedPush } from '@sim/db/scripts/prepare-push' import { readTestDatabaseUrl } from '@sim/db/testing/test-infrastructure' import { generateId } from '@sim/utils/id' @@ -25,6 +26,7 @@ describe('patched Drizzle push against PostgreSQL', () => { fixtureUrl = url.toString() sql = postgres(fixtureUrl, { max: 1, onnotice: () => {} }) directory = await mkdtemp(join(tmpdir(), 'push-policy-')) + await symlink(fileURLToPath(new URL('.', import.meta.url)), join(directory, 'scripts')) await writeFile( join(directory, 'drizzle.config.ts'), `export default { @@ -92,6 +94,68 @@ ${source}` })`) } + it('requires approval to retire keyword writers and preserves updates when later reconciliation fails', async () => { + await sql`CREATE TABLE knowledge_base (id text PRIMARY KEY, is_search_index boolean NOT NULL DEFAULT false)` + await sql`CREATE TABLE embedding (id text PRIMARY KEY, content text NOT NULL)` + await sql`CREATE TABLE embedding_keyword_search (id text PRIMARY KEY, content text NOT NULL)` + await sql`INSERT INTO knowledge_base VALUES ('kb', false)` + await sql`INSERT INTO embedding VALUES ('chunk', 'retained content')` + await sql`INSERT INTO embedding_keyword_search VALUES ('chunk', 'obsolete content')` + await sql.unsafe(`CREATE FUNCTION sync_embedding_keyword_search() RETURNS trigger LANGUAGE plpgsql AS $$ + BEGIN + DELETE FROM embedding_keyword_search WHERE id = NEW.id; + RETURN NEW; + END $$`) + await sql`CREATE TRIGGER embedding_keyword_search_sync AFTER UPDATE ON embedding + FOR EACH ROW EXECUTE FUNCTION sync_embedding_keyword_search()` + await sql.unsafe(`CREATE FUNCTION sync_knowledge_base_keyword_search() RETURNS trigger LANGUAGE plpgsql AS $$ + BEGIN + DELETE FROM embedding_keyword_search; + RETURN NEW; + END $$`) + await sql`CREATE TRIGGER knowledge_base_keyword_search_sync AFTER UPDATE ON knowledge_base + FOR EACH ROW EXECUTE FUNCTION sync_knowledge_base_keyword_search()` + await schema(`export const chunks = pgTable('embedding', { + id: text('id').primaryKey(), content: text('content').notNull(), + }) +export const knowledgeBases = pgTable('knowledge_base', { + id: text('id').primaryKey(), isSearchIndex: boolean('is_search_index').notNull().default(false), + })`) + function runPush(args: string[]) { + return spawnSync( + 'bun', + ['--no-env-file', fileURLToPath(new URL('./push.ts', import.meta.url)), ...args], + { + cwd: directory, + env: { ...process.env, DATABASE_URL: fixtureUrl, MIGRATION_DATABASE_URL: fixtureUrl }, + encoding: 'utf8', + timeout: 30_000, + } + ) + } + const denied = runPush([]) + expect(denied.error).toBeUndefined() + expect(denied.status, denied.stdout + denied.stderr).toBe(1) + await sql`UPDATE embedding SET content = 'unapproved push retained writer' WHERE id = 'chunk'` + expect(await sql`SELECT id FROM embedding_keyword_search`).toEqual([]) + const emptyDenied = runPush([]) + expect(emptyDenied.error).toBeUndefined() + expect(emptyDenied.status, emptyDenied.stdout + emptyDenied.stderr).toBe(1) + await sql`UPDATE knowledge_base SET is_search_index = false WHERE id = 'kb'` + const result = runPush(['--force']) + expect(result.error).toBeUndefined() + expect(result.status, result.stdout + result.stderr).not.toBe(0) + expect(await sql`SELECT to_regclass('embedding_keyword_search') AS projection`).toEqual([ + { projection: null }, + ]) + await sql`UPDATE embedding SET content = 'updated content' WHERE id = 'chunk'` + await sql`UPDATE knowledge_base SET is_search_index = true WHERE id = 'kb'` + expect(await sql`SELECT content FROM embedding`).toEqual([{ content: 'updated content' }]) + expect(await sql`SELECT is_search_index FROM knowledge_base`).toEqual([ + { is_search_index: true }, + ]) + }, 30_000) + it('retires the legacy size bridge without losing bigint or unbackfilled values', async () => { await sql`CREATE TABLE workspace_files (id text PRIMARY KEY, size integer NOT NULL, size_bytes bigint)` await sql`INSERT INTO workspace_files VALUES ('legacy', 123, NULL), ('large', 2147483647, 5000000000)` diff --git a/packages/db/scripts/push.ts b/packages/db/scripts/push.ts index 5c2725097f2..02519852b1b 100644 --- a/packages/db/scripts/push.ts +++ b/packages/db/scripts/push.ts @@ -8,11 +8,10 @@ const RECONCILIATION_COMMANDS = [ ['bun', '--env-file=.env', 'run', './scripts/reconcile-credential-group-resource-policies.ts'], ['bun', '--env-file=.env', 'run', './scripts/reconcile-oauth-provider.ts'], ['bun', '--env-file=.env', 'run', './script-migrations/0016_backfill_search_vectors.ts'], - ['bun', '--env-file=.env', 'run', './script-migrations/0019_tin_keyword_projection.ts'], ['bun', '--env-file=.env', 'run', './script-migrations/0021_embedding_search_connector.ts'], ['bun', '--env-file=.env', 'run', './script-migrations/0024_knowledge_projection_async.ts'], - ['bun', '--env-file=.env', 'run', './script-migrations/0025_scope_keyword_projections.ts'], ['bun', '--env-file=.env', 'run', './script-migrations/0026_user_table_schema_for_write.ts'], + ['bun', '--env-file=.env', 'run', './script-migrations/0030_retire_keyword_writers.ts'], ] /** Keep preparation, Drizzle and reconcilers fenced without a session lock or a retained snapshot. */ @@ -105,8 +104,14 @@ export async function runPush(args: string[]): Promise { return code } - if (!help && args.includes('--force')) { - const code = await runCommand(['bun', '--env-file=.env', 'run', './scripts/prepare-push.ts']) + if (!help) { + const code = await runCommand([ + 'bun', + '--env-file=.env', + 'run', + './scripts/prepare-push.ts', + ...(args.includes('--force') ? ['--force'] : []), + ]) if (code !== 0) return code } const pushArgs = args.filter((arg) => arg !== '--interactive-renames') diff --git a/packages/testing/src/mocks/schema-tables.generated.ts b/packages/testing/src/mocks/schema-tables.generated.ts index 78eabac073b..1c89248bda5 100644 --- a/packages/testing/src/mocks/schema-tables.generated.ts +++ b/packages/testing/src/mocks/schema-tables.generated.ts @@ -928,7 +928,6 @@ export const GENERATED_SCHEMA_TABLES = { 'createdAt', 'updatedAt', ], - embeddingKeywordSearch: ['id', 'knowledgeBaseId', 'documentId', 'enabled', 'contentTsv'], embeddingKeywordTin: [ 'id', 'knowledgeBaseId', @@ -2192,7 +2191,6 @@ export const GENERATED_SCHEMA_ENUMS = { /** Every other schema export whose initializer is a plain literal. */ export const GENERATED_SCHEMA_CONSTANTS = { - EMBEDDING_KEYWORD_TIN_INDEX: 'embedding_keyword_tin_content_idx', SCIM_SCOPES: ['users:read', 'users:write', 'groups:read', 'groups:write'], } as const diff --git a/vitest.integration-durations.json b/vitest.integration-durations.json index a4770d55a6c..27fb0e4bf46 100644 --- a/vitest.integration-durations.json +++ b/vitest.integration-durations.json @@ -174,10 +174,8 @@ "packages/db/script-migrations/0014_require_knowledge_base_owner.integration.ts": 0.2, "packages/db/script-migrations/0016_backfill_search_vectors.integration.ts": 8, "packages/db/script-migrations/0018_repair_workspace_file_content_revision.integration.ts": 0.1, - "packages/db/script-migrations/0019_tin_keyword_projection.integration.ts": 0.2, "packages/db/script-migrations/0021_embedding_search_connector.integration.ts": 0.2, - "packages/db/script-migrations/0025_scope_keyword_projections.integration.ts": 0.4, - "packages/db/script-migrations/0027_retire_search_embeddings.integration.ts": 20.6, + "packages/db/script-migrations/0030_retire_keyword_writers.integration.ts": 2.6, "packages/db/scripts/connector-sync-schedule-precision.integration.ts": 0, "packages/db/scripts/database-failure-classification.integration.ts": 1.1, "packages/db/scripts/push.integration.ts": 7,