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Original file line number Diff line number Diff line change
@@ -0,0 +1,103 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.beam.sdk.io.iceberg;

import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.TreeMap;
import org.apache.beam.sdk.coders.Coder;
import org.apache.beam.sdk.coders.CoderRegistry;
import org.apache.beam.sdk.coders.KvCoder;
import org.apache.beam.sdk.coders.ListCoder;
import org.apache.beam.sdk.coders.MapCoder;
import org.apache.beam.sdk.coders.StringUtf8Coder;
import org.apache.beam.sdk.coders.VarLongCoder;
import org.apache.beam.sdk.transforms.Combine;
import org.apache.beam.sdk.values.KV;

/**
* Collects the distinct schemas among canonical file schema JSONs (see {@link FileSchemas}), with
* the number of files per schema, most common first (ties broken by JSON). The commit side applies
* schemas in this order, so the schema covering the most files wins a conflict.
*
* <p>Inputs are compared as strings, so they must already be canonical.
*/
class CollectDistinctSchemas
extends Combine.CombineFn<String, Map<String, Long>, List<KV<String, Long>>> {

@Override
public Map<String, Long> createAccumulator() {
return new TreeMap<>();
}

@Override
public Map<String, Long> addInput(Map<String, Long> accumulator, String schemaJson) {
add(accumulator, schemaJson, 1L);
return accumulator;
}

@Override
public Map<String, Long> mergeAccumulators(Iterable<Map<String, Long>> accumulators) {
Map<String, Long> merged = createAccumulator();
for (Map<String, Long> accumulator : accumulators) {
for (Map.Entry<String, Long> entry : accumulator.entrySet()) {
add(merged, entry.getKey(), entry.getValue());
}
}
return merged;
}

@Override
public List<KV<String, Long>> extractOutput(Map<String, Long> accumulator) {
List<KV<String, Long>> schemas = new ArrayList<>();
for (Map.Entry<String, Long> entry : accumulator.entrySet()) {
schemas.add(KV.of(entry.getKey(), entry.getValue()));
}
schemas.sort(
(a, b) -> {
int byCount = Long.compare(b.getValue(), a.getValue());
if (byCount != 0) {
return byCount;
}
return a.getKey().compareTo(b.getKey());
});
return schemas;
}

@Override
public Coder<Map<String, Long>> getAccumulatorCoder(
CoderRegistry registry, Coder<String> inputCoder) {
return MapCoder.of(StringUtf8Coder.of(), VarLongCoder.of());
}

@Override
public Coder<List<KV<String, Long>>> getDefaultOutputCoder(
CoderRegistry registry, Coder<String> inputCoder) {
return ListCoder.of(KvCoder.of(StringUtf8Coder.of(), VarLongCoder.of()));
}

private static void add(Map<String, Long> accumulator, String schemaJson, long count) {
Long existing = accumulator.get(schemaJson);
if (existing == null) {
accumulator.put(schemaJson, count);
} else {
accumulator.put(schemaJson, existing + count);
}
}
}
Original file line number Diff line number Diff line change
@@ -0,0 +1,98 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.beam.sdk.io.iceberg;

import java.util.ArrayList;
import java.util.List;
import org.apache.iceberg.Schema;
import org.apache.iceberg.SchemaParser;
import org.apache.iceberg.parquet.ParquetSchemaUtil;
import org.apache.iceberg.types.Type;
import org.apache.iceberg.types.TypeUtil;
import org.apache.iceberg.types.Types;
import org.apache.parquet.hadoop.metadata.ParquetMetadata;

/**
* Derives the schema a file contributes to schema inference. The canonical form sorts struct fields
* by name at every level and renumbers ids in deterministic order, so files that differ only in
* column order produce identical JSON. Ids are positional and meaningless: the commit side
* reconciles columns by name.
*/
final class FileSchemas {
private FileSchemas() {}

static String canonicalJson(ParquetMetadata footer) {
Schema converted = ParquetSchemaUtil.convert(footer.getFileMetaData().getSchema());
return SchemaParser.toJson(canonical(converted));
}

static Schema canonical(Schema schema) {
Type sorted = TypeUtil.visit(schema.asStruct(), new SortFields());
int[] nextId = {0};
return TypeUtil.assignFreshIds(new Schema(sorted.asStructType().fields()), () -> ++nextId[0]);
}

/**
* Rebuilds every struct with its fields sorted by name; every other attribute (optionality, doc,
* defaults) is preserved. Iceberg owns the traversal, so nested types this code has never heard
* of (variant, and whatever comes next) are visited rather than silently passed through.
*/
private static class SortFields extends TypeUtil.SchemaVisitor<Type> {
@Override
public Type struct(Types.StructType struct, List<Type> fieldTypes) {
List<Types.NestedField> rebuilt = new ArrayList<>();
for (int i = 0; i < struct.fields().size(); i++) {
Types.NestedField field = struct.fields().get(i);
rebuilt.add(Types.NestedField.from(field).ofType(fieldTypes.get(i)).build());
}
rebuilt.sort((a, b) -> a.name().compareTo(b.name()));
return Types.StructType.of(rebuilt);
}

@Override
public Type field(Types.NestedField field, Type fieldType) {
return fieldType;
}

@Override
public Type list(Types.ListType list, Type elementType) {
if (list.isElementOptional()) {
return Types.ListType.ofOptional(list.elementId(), elementType);
}
return Types.ListType.ofRequired(list.elementId(), elementType);
}

@Override
public Type map(Types.MapType map, Type keyType, Type valueType) {
if (map.isValueOptional()) {
return Types.MapType.ofOptional(map.keyId(), map.valueId(), keyType, valueType);
}
return Types.MapType.ofRequired(map.keyId(), map.valueId(), keyType, valueType);
}

@Override
public Type variant(Types.VariantType variant) {
return variant;
}

@Override
public Type primitive(Type.PrimitiveType primitive) {
return primitive;
}
}
}
Original file line number Diff line number Diff line change
@@ -0,0 +1,181 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.beam.sdk.io.iceberg;

import static org.apache.beam.sdk.metrics.Metrics.counter;
import static org.apache.beam.sdk.util.Preconditions.checkStateNotNull;

import java.util.Collections;
import java.util.concurrent.Callable;
import org.apache.beam.sdk.metrics.Counter;
import org.apache.beam.sdk.transforms.DoFn;
import org.apache.beam.sdk.transforms.windowing.BoundedWindow;
import org.apache.beam.sdk.transforms.windowing.PaneInfo;
import org.apache.iceberg.FileFormat;
import org.apache.parquet.hadoop.metadata.ParquetMetadata;
import org.checkerframework.checker.nullness.qual.MonotonicNonNull;
import org.checkerframework.checker.nullness.qual.Nullable;
import org.joda.time.Instant;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
* Emits the canonical schema (see {@link FileSchemas}) of every readable Parquet file as JSON.
* Unreadable or non-Parquet files contribute nothing.
*/
class ReadFooterSchema extends DoFn<String, String> {
private static final Logger LOG = LoggerFactory.getLogger(ReadFooterSchema.class);

static final int DEFAULT_THREAD_POOL_SIZE = 10;
static final int DEFAULT_MAX_IN_FLIGHT_TASKS = 100;
static final String FILES_READ_COUNTER = "numFilesRead";
static final String SCHEMAS_EMITTED_COUNTER = "numSchemasEmitted";
static final String FOOTER_READ_ERRORS_COUNTER = "numFooterReadErrors";
private static final Counter numFilesRead = counter(ReadFooterSchema.class, FILES_READ_COUNTER);
private static final Counter numSchemasEmitted =
counter(ReadFooterSchema.class, SCHEMAS_EMITTED_COUNTER);
private static final Counter numFooterReadErrors =
counter(ReadFooterSchema.class, FOOTER_READ_ERRORS_COUNTER);

private final int threadPoolSize;
private final int maxInFlightTasks;
private transient @MonotonicNonNull BoundedAsyncTasks<ReadResult> tasks;

ReadFooterSchema() {
this(DEFAULT_THREAD_POOL_SIZE, DEFAULT_MAX_IN_FLIGHT_TASKS);
}

ReadFooterSchema(int threadPoolSize, int maxInFlightTasks) {
this.threadPoolSize = threadPoolSize;
this.maxInFlightTasks = maxInFlightTasks;
}

/**
* {@code schemaJson} is null when the file contributes no schema. Counters are updated when the
* result is delivered, on the processing thread: metrics touched from the executor are lost.
*/
private static class ReadResult {
final @Nullable String schemaJson;
final boolean footerError;
final Instant timestamp;
final BoundedWindow window;
final PaneInfo paneInfo;

ReadResult(
@Nullable String schemaJson,
boolean footerError,
Instant timestamp,
BoundedWindow window,
PaneInfo paneInfo) {
this.schemaJson = schemaJson;
this.footerError = footerError;
this.timestamp = timestamp;
this.window = window;
this.paneInfo = paneInfo;
}
}

@Setup
public void setup() {
tasks = new BoundedAsyncTasks<>(threadPoolSize, maxInFlightTasks);
}

/** Clears anything left behind if the runner reuses this instance after a failed bundle. */
@StartBundle
public void startBundle() {
checkStateNotNull(tasks).cancelAll();
}

@Teardown
public void teardown() {
if (tasks != null) {
tasks.shutdown();
}
}

@ProcessElement
public void process(
@Element String filePath,
@Timestamp Instant timestamp,
BoundedWindow window,
PaneInfo paneInfo,
OutputReceiver<String> output)
throws Exception {
numFilesRead.inc();
Callable<ReadResult> task = createReadTask(filePath, timestamp, window, paneInfo);
checkStateNotNull(tasks).submit(task, result -> outputResult(result, output));
}

@FinishBundle
public void finishBundle(FinishBundleContext context) throws Exception {
checkStateNotNull(tasks).awaitAll(result -> outputAtFinish(result, context));
}

private static void outputAtFinish(ReadResult result, FinishBundleContext context) {
count(result);
if (result.schemaJson != null) {
context.output(result.schemaJson, result.timestamp, result.window);
}
}

private static void outputResult(ReadResult result, OutputReceiver<String> output) {
count(result);
if (result.schemaJson != null) {
output.outputWindowedValue(
result.schemaJson,
result.timestamp,
Collections.singleton(result.window),
result.paneInfo);
}
}

private static void count(ReadResult result) {
if (result.schemaJson != null) {
numSchemasEmitted.inc();
}
if (result.footerError) {
numFooterReadErrors.inc();
}
}

private static Callable<ReadResult> createReadTask(
String filePath, Instant timestamp, BoundedWindow window, PaneInfo paneInfo) {
return () -> {
FileFormat format;
try {
format = AddFiles.inferFormat(filePath);
} catch (AddFiles.UnknownFormatException e) {
return new ReadResult(null, false, timestamp, window, paneInfo);
}
if (!format.equals(FileFormat.PARQUET)) {
return new ReadResult(null, false, timestamp, window, paneInfo);
}
try {
ParquetMetadata footer = ParquetFooters.read(filePath);
return new ReadResult(
FileSchemas.canonicalJson(footer), false, timestamp, window, paneInfo);
} catch (Exception e) {
LOG.warn(
"Could not read the footer of {}; the file will not contribute to schema inference: {}",
filePath,
AddFiles.errorMessage(e));
return new ReadResult(null, true, timestamp, window, paneInfo);
}
};
}
}
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