stevenzwu commented on code in PR #10832:
URL: https://github.com/apache/iceberg/pull/10832#discussion_r1716294343
##########
flink/v1.19/flink/src/main/java/org/apache/iceberg/flink/source/IcebergSource.java:
##########
@@ -205,12 +225,35 @@ private SplitEnumerator<IcebergSourceSplit,
IcebergEnumeratorState> createEnumer
// Only do scan planning if nothing is restored from checkpoint state
List<IcebergSourceSplit> splits =
planSplitsForBatch(planningThreadName());
assigner.onDiscoveredSplits(splits);
+ // clear the cached splits after enumerator creation as they won't be
needed anymore
+ this.batchSplits = null;
}
return new StaticIcebergEnumerator(enumContext, assigner);
}
}
+ boolean shouldInferParallelism() {
Review Comment:
good catch. it was package visible as earlier implementation does the
inferring in the `IcebergTableSource`. with the refactoring and `buildStream`
introduced. this can be private.
##########
flink/v1.19/flink/src/test/java/org/apache/iceberg/flink/source/TestIcebergSourceWithWatermarkExtractor.java:
##########
@@ -79,6 +80,12 @@ public class TestIcebergSourceWithWatermarkExtractor
implements Serializable {
@TempDir protected Path temporaryFolder;
private static final InMemoryReporter REPORTER =
InMemoryReporter.createWithRetainedMetrics();
+ public static final Configuration DISABLE_CLASSLOADER_CHECK_CONFIG =
+ new Configuration()
+ // disable classloader check as Avro may cache class/object in the
serializers.
+ .set(CoreOptions.CHECK_LEAKED_CLASSLOADER, false)
+ // disable inferring source parallelism
Review Comment:
actually, we don't need the disabling for this particular test as it doesn't
go through the `buildStream(env)` path where infer parallelism happens. will
revert the change
##########
flink/v1.19/flink/src/main/java/org/apache/iceberg/flink/source/IcebergSource.java:
##########
@@ -545,5 +579,66 @@ public IcebergSource<T> build() {
table,
emitter);
}
+
+ /**
+ * Build the {@link IcebergSource} and create a {@link DataStream} from
the source.
+ *
+ * @return data stream from the Iceberg source
+ */
+ public DataStream<T> buildStream(StreamExecutionEnvironment env) {
Review Comment:
currently, `outputTypeInfo` can be inferred from the `ReaderFunction` if
using provided RowData or Avro reader.
```
if (outputTypeInfo == null) {
this.outputTypeInfo = inferOutputTypeInfo(table, context,
readerFunction);
}
```
`watermarkStrategy` is defaulted `WatermarkStrategy.noWatermarks`. so it is
not mandatory either.
##########
flink/v1.19/flink/src/main/java/org/apache/iceberg/flink/source/IcebergSource.java:
##########
@@ -503,28 +569,10 @@ public IcebergSource<T> build() {
new
OrderedSplitAssignerFactory(SplitComparators.watermark(watermarkExtractor));
}
- ScanContext context = contextBuilder.build();
+ this.context = contextBuilder.build();
Review Comment:
agree side-effect is undesirable. let me think of a way to refactor the
code. maybe extract the `ScanContext` building into a separate method from
`build()`
##########
flink/v1.19/flink/src/main/java/org/apache/iceberg/flink/source/IcebergSource.java:
##########
@@ -95,6 +103,8 @@ public class IcebergSource<T> implements Source<T,
IcebergSourceSplit, IcebergEn
private final SerializableRecordEmitter<T> emitter;
private final String tableName;
+ private volatile List<IcebergSourceSplit> batchSplits;
Review Comment:
`planSplitsForBatch` can be called twice: (1) source/stream construction by
main thread (2) enumerator creation.
confirmed via debugger they are done by different threads.
(1) from main thread
<img width="575" alt="image"
src="https://github.com/user-attachments/assets/eac07c33-8ee3-4648-ac2d-2812ac0dcb44";>
(2) from actor thread
<img width="633" alt="image"
src="https://github.com/user-attachments/assets/1e296e28-1f5f-4465-8685-4f128cca2f2d";>
##########
flink/v1.19/flink/src/main/java/org/apache/iceberg/flink/source/IcebergSource.java:
##########
@@ -464,6 +519,15 @@ public Builder<T> watermarkColumnTimeUnit(TimeUnit
timeUnit) {
return this;
}
+ /**
+ * Optional. Default is no watermark strategy. Only relevant if using the
{@link
+ * Builder#buildStream(StreamExecutionEnvironment)}.
+ */
+ public Builder<T> watermarkStrategy(WatermarkStrategy<T> newStrategy) {
Review Comment:
this is only for the `buildStream` method. this just moved the watermark
strategy from `env.fromSource` to the builder.
for regular `build` method, users would also need to set the watermark
strategy, which most likely would be none.
```
DataStream<RowData> stream =
env.fromSource(
sourceBuilder().build(),
WatermarkStrategy.noWatermarks(),
"IcebergSource",
TypeInformation.of(RowData.class));
```
##########
flink/v1.19/flink/src/test/java/org/apache/iceberg/flink/source/TestIcebergSourceInferParallelism.java:
##########
@@ -0,0 +1,171 @@
+/*
+ * 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.iceberg.flink.source;
+
+import static
org.apache.iceberg.flink.MiniFlinkClusterExtension.DISABLE_CLASSLOADER_CHECK_CONFIG;
+import static org.assertj.core.api.Assertions.assertThat;
+
+import java.io.IOException;
+import java.lang.reflect.Field;
+import java.nio.file.Path;
+import java.util.List;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.core.execution.JobClient;
+import org.apache.flink.runtime.executiongraph.AccessExecutionGraph;
+import org.apache.flink.runtime.executiongraph.AccessExecutionJobVertex;
+import org.apache.flink.runtime.minicluster.MiniCluster;
+import org.apache.flink.runtime.testutils.InternalMiniClusterExtension;
+import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.test.junit5.MiniClusterExtension;
+import org.apache.flink.types.Row;
+import org.apache.flink.util.CloseableIterator;
+import org.apache.iceberg.FileFormat;
+import org.apache.iceberg.Table;
+import org.apache.iceberg.data.GenericAppenderHelper;
+import org.apache.iceberg.data.RandomGenericData;
+import org.apache.iceberg.data.Record;
+import org.apache.iceberg.flink.FlinkConfigOptions;
+import org.apache.iceberg.flink.FlinkSchemaUtil;
+import org.apache.iceberg.flink.HadoopCatalogExtension;
+import org.apache.iceberg.flink.TestFixtures;
+import org.apache.iceberg.flink.data.RowDataToRowMapper;
+import org.apache.iceberg.relocated.com.google.common.collect.Lists;
+import org.junit.jupiter.api.AfterEach;
+import org.junit.jupiter.api.BeforeEach;
+import org.junit.jupiter.api.Test;
+import org.junit.jupiter.api.extension.RegisterExtension;
+import org.junit.jupiter.api.io.TempDir;
+
+public class TestIcebergSourceInferParallelism {
+ private static final int NUM_TMS = 2;
+ private static final int SLOTS_PER_TM = 2;
+ private static final int PARALLELISM = NUM_TMS * SLOTS_PER_TM;
+ private static final int MAX_INFERRED_PARALLELISM = 3;
+
+ @RegisterExtension
+ private static final MiniClusterExtension MINI_CLUSTER_EXTENSION =
+ new MiniClusterExtension(
+ new MiniClusterResourceConfiguration.Builder()
+ .setNumberTaskManagers(NUM_TMS)
+ .setNumberSlotsPerTaskManager(SLOTS_PER_TM)
+ .setConfiguration(DISABLE_CLASSLOADER_CHECK_CONFIG)
+ .build());
+
+ @RegisterExtension
+ protected static final HadoopCatalogExtension CATALOG_EXTENSION =
+ new HadoopCatalogExtension(TestFixtures.DATABASE, TestFixtures.TABLE);
+
+ @TempDir private Path tmpDir;
+
+ private Table table;
+ private GenericAppenderHelper dataAppender;
+
+ @BeforeEach
+ public void before() throws IOException {
+ this.table =
+ CATALOG_EXTENSION.catalog().createTable(TestFixtures.TABLE_IDENTIFIER,
TestFixtures.SCHEMA);
+ this.dataAppender = new GenericAppenderHelper(table, FileFormat.PARQUET,
tmpDir);
+ }
+
+ @AfterEach
+ public void after() {
+ CATALOG_EXTENSION.catalog().dropTable(TestFixtures.TABLE_IDENTIFIER);
+ }
+
+ @Test
+ public void testEmptyTable() throws Exception {
+ // Inferred parallelism should be at least 1 even if table is empty
+ test(1, 0);
+ }
+
+ @Test
+ public void testTableWithFilesLessThanMaxInferredParallelism() throws
Exception {
+ // Append files to the table
+ for (int i = 0; i < 2; ++i) {
+ List<Record> batch1 = RandomGenericData.generate(table.schema(), 1, 0);
+ dataAppender.appendToTable(batch1);
+ }
+
+ // Inferred parallelism should equal to 2 splits
+ test(2, 2);
+ }
+
+ @Test
+ public void testTableWithFilesMoreThanMaxInferredParallelism() throws
Exception {
+ // Append files to the table
+ for (int i = 0; i < MAX_INFERRED_PARALLELISM + 1; ++i) {
+ List<Record> batch1 = RandomGenericData.generate(table.schema(), 1, 0);
+ dataAppender.appendToTable(batch1);
+ }
+
+ // Inferred parallelism should be capped by the MAX_INFERRED_PARALLELISM
+ test(MAX_INFERRED_PARALLELISM, MAX_INFERRED_PARALLELISM + 1);
+ }
+
+ private void test(int expectedParallelism, int expectedRecords) throws
Exception {
+ StreamExecutionEnvironment env =
StreamExecutionEnvironment.getExecutionEnvironment();
+ env.setParallelism(PARALLELISM);
+
+ Configuration config = new Configuration();
+ config.set(FlinkConfigOptions.TABLE_EXEC_ICEBERG_INFER_SOURCE_PARALLELISM,
true);
+
config.set(FlinkConfigOptions.TABLE_EXEC_ICEBERG_INFER_SOURCE_PARALLELISM_MAX,
3);
+
+ DataStream<Row> dataStream =
+ IcebergSource.forRowData()
+ .tableLoader(CATALOG_EXTENSION.tableLoader())
+ .table(table)
+ .flinkConfig(config)
+ // force one file per split
+ .splitSize(1L)
+ .buildStream(env)
+ .map(new
RowDataToRowMapper(FlinkSchemaUtil.convert(table.schema())));
+
+ DataStream.Collector<Row> collector = new DataStream.Collector<>();
+ dataStream.collectAsync(collector);
+ JobClient jobClient = env.executeAsync();
+ try (CloseableIterator<Row> iterator = collector.getOutput()) {
+ List<Row> result = Lists.newArrayList();
+ while (iterator.hasNext()) {
+ result.add(iterator.next());
+ }
+
+ assertThat(result).hasSize(expectedRecords);
+ verifySourceParallelism(
+ expectedParallelism,
miniCluster().getExecutionGraph(jobClient.getJobID()).get());
+ }
+ }
+
+ private static void verifySourceParallelism(
+ int expectedParallelism, AccessExecutionGraph executionGraph) {
+ AccessExecutionJobVertex sourceVertex =
+ executionGraph.getVerticesTopologically().iterator().next();
+ assertThat(sourceVertex.getParallelism()).isEqualTo(expectedParallelism);
+ }
+
+ private static MiniCluster miniCluster() throws Exception {
+ Field privateField =
+
MiniClusterExtension.class.getDeclaredField("internalMiniClusterExtension");
+ privateField.setAccessible(true);
+ InternalMiniClusterExtension internalExtension =
Review Comment:
I just tried it with debugger. the value is the default parallelism of 4
while the expected inferred source parallelism is 1 after the `executeAsync()`
```
DataStream<Row> dataStream =
IcebergSource.forRowData()
.tableLoader(CATALOG_EXTENSION.tableLoader())
.table(table)
.flinkConfig(config)
// force one file per split
.splitSize(1L)
.buildStream(env)
.map(new
RowDataToRowMapper(FlinkSchemaUtil.convert(table.schema())));
int sourceParallelism = env.getTransformations().get(0).getParallelism();
```
##########
flink/v1.19/flink/src/main/java/org/apache/iceberg/flink/source/IcebergSource.java:
##########
@@ -205,12 +225,35 @@ private SplitEnumerator<IcebergSourceSplit,
IcebergEnumeratorState> createEnumer
// Only do scan planning if nothing is restored from checkpoint state
List<IcebergSourceSplit> splits =
planSplitsForBatch(planningThreadName());
assigner.onDiscoveredSplits(splits);
+ // clear the cached splits after enumerator creation as they won't be
needed anymore
+ this.batchSplits = null;
}
return new StaticIcebergEnumerator(enumContext, assigner);
}
}
+ boolean shouldInferParallelism() {
+ return !scanContext.isStreaming();
+ }
+
+ int inferParallelism(ReadableConfig flinkConf, StreamExecutionEnvironment
env) {
Review Comment:
good catch. it was package visible as earlier implementation does the
inferring in the `IcebergTableSource`. with the refactoring and `buildStream`
introduced. this can be private.
##########
flink/v1.19/flink/src/test/java/org/apache/iceberg/flink/source/TestIcebergSourceInferParallelism.java:
##########
@@ -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.iceberg.flink.source;
+
+import static
org.apache.iceberg.flink.MiniFlinkClusterExtension.DISABLE_CLASSLOADER_CHECK_CONFIG;
+import static org.assertj.core.api.Assertions.assertThat;
+
+import java.io.IOException;
+import java.lang.reflect.Field;
+import java.nio.file.Path;
+import java.util.List;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.core.execution.JobClient;
+import org.apache.flink.runtime.executiongraph.AccessExecutionGraph;
+import org.apache.flink.runtime.executiongraph.AccessExecutionJobVertex;
+import org.apache.flink.runtime.minicluster.MiniCluster;
+import org.apache.flink.runtime.testutils.InternalMiniClusterExtension;
+import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.test.junit5.MiniClusterExtension;
+import org.apache.flink.types.Row;
+import org.apache.flink.util.CloseableIterator;
+import org.apache.iceberg.FileFormat;
+import org.apache.iceberg.Table;
+import org.apache.iceberg.data.GenericAppenderHelper;
+import org.apache.iceberg.data.RandomGenericData;
+import org.apache.iceberg.data.Record;
+import org.apache.iceberg.flink.FlinkConfigOptions;
+import org.apache.iceberg.flink.FlinkSchemaUtil;
+import org.apache.iceberg.flink.HadoopCatalogExtension;
+import org.apache.iceberg.flink.TestFixtures;
+import org.apache.iceberg.flink.data.RowDataToRowMapper;
+import org.apache.iceberg.relocated.com.google.common.collect.Lists;
+import org.junit.jupiter.api.AfterEach;
+import org.junit.jupiter.api.BeforeEach;
+import org.junit.jupiter.api.Test;
+import org.junit.jupiter.api.extension.RegisterExtension;
+import org.junit.jupiter.api.io.TempDir;
+
+public class TestIcebergSourceInferParallelism {
+ private static final int NUM_TMS = 2;
+ private static final int SLOTS_PER_TM = 2;
+ private static final int PARALLELISM = NUM_TMS * SLOTS_PER_TM;
+ private static final int MAX_INFERRED_PARALLELISM = 3;
+
+ @RegisterExtension
+ private static final MiniClusterExtension MINI_CLUSTER_EXTENSION =
+ new MiniClusterExtension(
+ new MiniClusterResourceConfiguration.Builder()
+ .setNumberTaskManagers(NUM_TMS)
+ .setNumberSlotsPerTaskManager(SLOTS_PER_TM)
+ .setConfiguration(DISABLE_CLASSLOADER_CHECK_CONFIG)
+ .build());
+
+ @RegisterExtension
+ protected static final HadoopCatalogExtension CATALOG_EXTENSION =
+ new HadoopCatalogExtension(TestFixtures.DATABASE, TestFixtures.TABLE);
+
+ @TempDir private Path tmpDir;
+
+ private Table table;
+ private GenericAppenderHelper dataAppender;
+
+ @BeforeEach
+ public void before() throws IOException {
+ this.table =
+ CATALOG_EXTENSION.catalog().createTable(TestFixtures.TABLE_IDENTIFIER,
TestFixtures.SCHEMA);
+ this.dataAppender = new GenericAppenderHelper(table, FileFormat.PARQUET,
tmpDir);
+ }
+
+ @AfterEach
+ public void after() {
+ CATALOG_EXTENSION.catalog().dropTable(TestFixtures.TABLE_IDENTIFIER);
+ }
+
+ @Test
+ public void testEmptyTable() throws Exception {
+ // Inferred parallelism should be at least 1 even if table is empty
+ test(1, 0);
+ }
+
+ @Test
+ public void testTableWithFilesLessThanMaxInferredParallelism() throws
Exception {
+ // Append files to the table
+ for (int i = 0; i < 2; ++i) {
+ List<Record> batch1 = RandomGenericData.generate(table.schema(), 1, 0);
+ dataAppender.appendToTable(batch1);
+ }
+
+ // Inferred parallelism should equal to 2 splits
+ test(2, 2);
+ }
+
+ @Test
+ public void testTableWithFilesMoreThanMaxInferredParallelism() throws
Exception {
+ // Append files to the table
+ for (int i = 0; i < MAX_INFERRED_PARALLELISM + 1; ++i) {
+ List<Record> batch1 = RandomGenericData.generate(table.schema(), 1, 0);
Review Comment:
fixed
##########
flink/v1.19/flink/src/test/java/org/apache/iceberg/flink/source/TestIcebergSourceInferParallelism.java:
##########
@@ -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.iceberg.flink.source;
+
+import static
org.apache.iceberg.flink.MiniFlinkClusterExtension.DISABLE_CLASSLOADER_CHECK_CONFIG;
+import static org.assertj.core.api.Assertions.assertThat;
+
+import java.io.IOException;
+import java.lang.reflect.Field;
+import java.nio.file.Path;
+import java.util.List;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.core.execution.JobClient;
+import org.apache.flink.runtime.executiongraph.AccessExecutionGraph;
+import org.apache.flink.runtime.executiongraph.AccessExecutionJobVertex;
+import org.apache.flink.runtime.minicluster.MiniCluster;
+import org.apache.flink.runtime.testutils.InternalMiniClusterExtension;
+import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.test.junit5.MiniClusterExtension;
+import org.apache.flink.types.Row;
+import org.apache.flink.util.CloseableIterator;
+import org.apache.iceberg.FileFormat;
+import org.apache.iceberg.Table;
+import org.apache.iceberg.data.GenericAppenderHelper;
+import org.apache.iceberg.data.RandomGenericData;
+import org.apache.iceberg.data.Record;
+import org.apache.iceberg.flink.FlinkConfigOptions;
+import org.apache.iceberg.flink.FlinkSchemaUtil;
+import org.apache.iceberg.flink.HadoopCatalogExtension;
+import org.apache.iceberg.flink.TestFixtures;
+import org.apache.iceberg.flink.data.RowDataToRowMapper;
+import org.apache.iceberg.relocated.com.google.common.collect.Lists;
+import org.junit.jupiter.api.AfterEach;
+import org.junit.jupiter.api.BeforeEach;
+import org.junit.jupiter.api.Test;
+import org.junit.jupiter.api.extension.RegisterExtension;
+import org.junit.jupiter.api.io.TempDir;
+
+public class TestIcebergSourceInferParallelism {
+ private static final int NUM_TMS = 2;
+ private static final int SLOTS_PER_TM = 2;
+ private static final int PARALLELISM = NUM_TMS * SLOTS_PER_TM;
+ private static final int MAX_INFERRED_PARALLELISM = 3;
+
+ @RegisterExtension
+ private static final MiniClusterExtension MINI_CLUSTER_EXTENSION =
+ new MiniClusterExtension(
+ new MiniClusterResourceConfiguration.Builder()
+ .setNumberTaskManagers(NUM_TMS)
+ .setNumberSlotsPerTaskManager(SLOTS_PER_TM)
+ .setConfiguration(DISABLE_CLASSLOADER_CHECK_CONFIG)
+ .build());
+
+ @RegisterExtension
+ protected static final HadoopCatalogExtension CATALOG_EXTENSION =
+ new HadoopCatalogExtension(TestFixtures.DATABASE, TestFixtures.TABLE);
+
+ @TempDir private Path tmpDir;
+
+ private Table table;
+ private GenericAppenderHelper dataAppender;
+
+ @BeforeEach
+ public void before() throws IOException {
+ this.table =
+ CATALOG_EXTENSION.catalog().createTable(TestFixtures.TABLE_IDENTIFIER,
TestFixtures.SCHEMA);
+ this.dataAppender = new GenericAppenderHelper(table, FileFormat.PARQUET,
tmpDir);
+ }
+
+ @AfterEach
+ public void after() {
+ CATALOG_EXTENSION.catalog().dropTable(TestFixtures.TABLE_IDENTIFIER);
+ }
+
+ @Test
+ public void testEmptyTable() throws Exception {
+ // Inferred parallelism should be at least 1 even if table is empty
+ test(1, 0);
+ }
+
+ @Test
+ public void testTableWithFilesLessThanMaxInferredParallelism() throws
Exception {
+ // Append files to the table
+ for (int i = 0; i < 2; ++i) {
+ List<Record> batch1 = RandomGenericData.generate(table.schema(), 1, 0);
Review Comment:
fixed
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