1
0

[HUDI-2483] Infer changelog mode for flink compactor (#3706)

This commit is contained in:
Danny Chan
2021-09-24 14:52:27 +08:00
committed by GitHub
parent 06c2cc2c8b
commit 440525ccbb
6 changed files with 172 additions and 101 deletions

View File

@@ -149,7 +149,7 @@ public class TableSchemaResolver {
}
}
private Schema getTableAvroSchemaFromDataFile() throws Exception {
public Schema getTableAvroSchemaFromDataFile() throws Exception {
return convertParquetSchemaToAvro(getTableParquetSchemaFromDataFile());
}

View File

@@ -66,6 +66,9 @@ public class HoodieFlinkCompactor {
// set table schema
CompactionUtil.setAvroSchema(conf, metaClient);
// infer changelog mode
CompactionUtil.inferChangelogMode(conf, metaClient);
HoodieFlinkWriteClient writeClient = StreamerUtil.createWriteClient(conf, null);
HoodieFlinkTable<?> table = writeClient.getHoodieTable();

View File

@@ -50,6 +50,8 @@ import java.util.concurrent.atomic.AtomicInteger;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import scala.Serializable;
import static org.apache.hudi.common.table.timeline.HoodieTimeline.GREATER_THAN;
import static org.apache.hudi.common.table.timeline.HoodieTimeline.GREATER_THAN_OR_EQUALS;
import static org.apache.hudi.common.table.timeline.HoodieTimeline.LESSER_THAN_OR_EQUALS;
@@ -66,7 +68,10 @@ import static org.apache.hudi.common.table.timeline.HoodieTimeline.LESSER_THAN_O
* <li>use the file paths from #step 3 as the back-up of the filesystem view.</li>
* </ol>
*/
public class IncrementalInputSplits {
public class IncrementalInputSplits implements Serializable {
private static final long serialVersionUID = 1L;
private static final Logger LOG = LoggerFactory.getLogger(IncrementalInputSplits.class);
private final Configuration conf;
private final Path path;

View File

@@ -19,6 +19,7 @@
package org.apache.hudi.util;
import org.apache.hudi.client.HoodieFlinkWriteClient;
import org.apache.hudi.common.model.HoodieRecord;
import org.apache.hudi.common.table.HoodieTableMetaClient;
import org.apache.hudi.common.table.TableSchemaResolver;
import org.apache.hudi.common.table.timeline.HoodieActiveTimeline;
@@ -76,6 +77,21 @@ public class CompactionUtil {
conf.setString(FlinkOptions.SOURCE_AVRO_SCHEMA, tableAvroSchema.toString());
}
/**
* Infers the changelog mode based on the data file schema(including metadata fields).
*
* <p>We can improve the code if the changelog mode is set up as table config.
*
* @param conf The configuration
*/
public static void inferChangelogMode(Configuration conf, HoodieTableMetaClient metaClient) throws Exception {
TableSchemaResolver tableSchemaResolver = new TableSchemaResolver(metaClient);
Schema tableAvroSchema = tableSchemaResolver.getTableAvroSchemaFromDataFile();
if (tableAvroSchema.getField(HoodieRecord.OPERATION_METADATA_FIELD) != null) {
conf.setBoolean(FlinkOptions.CHANGELOG_ENABLED, true);
}
}
/**
* Cleans the metadata file for given instant {@code instant}.
*/

View File

@@ -18,27 +18,13 @@
package org.apache.hudi.sink;
import org.apache.hudi.avro.model.HoodieCompactionPlan;
import org.apache.hudi.client.HoodieFlinkWriteClient;
import org.apache.hudi.common.model.HoodieRecord;
import org.apache.hudi.common.model.HoodieTableType;
import org.apache.hudi.common.table.HoodieTableMetaClient;
import org.apache.hudi.common.table.timeline.HoodieInstant;
import org.apache.hudi.common.table.timeline.HoodieTimeline;
import org.apache.hudi.common.util.CompactionUtils;
import org.apache.hudi.common.util.Option;
import org.apache.hudi.configuration.FlinkOptions;
import org.apache.hudi.sink.compact.CompactFunction;
import org.apache.hudi.sink.compact.CompactionCommitEvent;
import org.apache.hudi.sink.compact.CompactionCommitSink;
import org.apache.hudi.sink.compact.CompactionPlanSourceFunction;
import org.apache.hudi.sink.compact.FlinkCompactionConfig;
import org.apache.hudi.sink.transform.ChainedTransformer;
import org.apache.hudi.sink.transform.Transformer;
import org.apache.hudi.sink.utils.Pipelines;
import org.apache.hudi.table.HoodieFlinkTable;
import org.apache.hudi.util.AvroSchemaConverter;
import org.apache.hudi.util.CompactionUtil;
import org.apache.hudi.util.StreamerUtil;
import org.apache.hudi.utils.TestConfigurations;
import org.apache.hudi.utils.TestData;
@@ -58,11 +44,6 @@ import org.apache.flink.streaming.api.CheckpointingMode;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.FileProcessingMode;
import org.apache.flink.streaming.api.operators.ProcessOperator;
import org.apache.flink.table.api.EnvironmentSettings;
import org.apache.flink.table.api.TableEnvironment;
import org.apache.flink.table.api.config.ExecutionConfigOptions;
import org.apache.flink.table.api.internal.TableEnvironmentImpl;
import org.apache.flink.table.data.GenericRowData;
import org.apache.flink.table.data.RowData;
import org.apache.flink.table.runtime.typeutils.InternalTypeInfo;
@@ -80,8 +61,6 @@ import java.util.Map;
import java.util.Objects;
import java.util.concurrent.TimeUnit;
import static org.junit.jupiter.api.Assertions.assertTrue;
/**
* Integration test for Flink Hoodie stream sink.
*/
@@ -150,84 +129,6 @@ public class StreamWriteITCase extends TestLogger {
testWriteToHoodie(null, EXPECTED);
}
@Test
public void testHoodieFlinkCompactor() throws Exception {
// Create hoodie table and insert into data.
EnvironmentSettings settings = EnvironmentSettings.newInstance().inBatchMode().build();
TableEnvironment tableEnv = TableEnvironmentImpl.create(settings);
tableEnv.getConfig().getConfiguration()
.setInteger(ExecutionConfigOptions.TABLE_EXEC_RESOURCE_DEFAULT_PARALLELISM, 1);
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.COMPACTION_ASYNC_ENABLED.key(), "false");
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
options.put(FlinkOptions.TABLE_TYPE.key(), "MERGE_ON_READ");
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options);
tableEnv.executeSql(hoodieTableDDL);
String insertInto = "insert into t1 values\n"
+ "('id1','Danny',23,TIMESTAMP '1970-01-01 00:00:01','par1'),\n"
+ "('id2','Stephen',33,TIMESTAMP '1970-01-01 00:00:02','par1'),\n"
+ "('id3','Julian',53,TIMESTAMP '1970-01-01 00:00:03','par2'),\n"
+ "('id4','Fabian',31,TIMESTAMP '1970-01-01 00:00:04','par2'),\n"
+ "('id5','Sophia',18,TIMESTAMP '1970-01-01 00:00:05','par3'),\n"
+ "('id6','Emma',20,TIMESTAMP '1970-01-01 00:00:06','par3'),\n"
+ "('id7','Bob',44,TIMESTAMP '1970-01-01 00:00:07','par4'),\n"
+ "('id8','Han',56,TIMESTAMP '1970-01-01 00:00:08','par4')";
tableEnv.executeSql(insertInto).await();
// wait for the asynchronous commit to finish
TimeUnit.SECONDS.sleep(3);
// Make configuration and setAvroSchema.
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
FlinkCompactionConfig cfg = new FlinkCompactionConfig();
cfg.path = tempFile.getAbsolutePath();
Configuration conf = FlinkCompactionConfig.toFlinkConfig(cfg);
conf.setString(FlinkOptions.TABLE_TYPE.key(), "MERGE_ON_READ");
// create metaClient
HoodieTableMetaClient metaClient = StreamerUtil.createMetaClient(conf);
// set the table name
conf.setString(FlinkOptions.TABLE_NAME, metaClient.getTableConfig().getTableName());
// set table schema
CompactionUtil.setAvroSchema(conf, metaClient);
// judge whether have operation
// To compute the compaction instant time and do compaction.
String compactionInstantTime = CompactionUtil.getCompactionInstantTime(metaClient);
HoodieFlinkWriteClient writeClient = StreamerUtil.createWriteClient(conf, null);
boolean scheduled = writeClient.scheduleCompactionAtInstant(compactionInstantTime, Option.empty());
assertTrue(scheduled, "The compaction plan should be scheduled");
HoodieFlinkTable<?> table = writeClient.getHoodieTable();
// generate compaction plan
// should support configurable commit metadata
HoodieCompactionPlan compactionPlan = CompactionUtils.getCompactionPlan(
table.getMetaClient(), compactionInstantTime);
HoodieInstant instant = HoodieTimeline.getCompactionRequestedInstant(compactionInstantTime);
// Mark instant as compaction inflight
table.getActiveTimeline().transitionCompactionRequestedToInflight(instant);
env.addSource(new CompactionPlanSourceFunction(compactionPlan, compactionInstantTime))
.name("compaction_source")
.uid("uid_compaction_source")
.rebalance()
.transform("compact_task",
TypeInformation.of(CompactionCommitEvent.class),
new ProcessOperator<>(new CompactFunction(conf)))
.setParallelism(compactionPlan.getOperations().size())
.addSink(new CompactionCommitSink(conf))
.name("clean_commits")
.uid("uid_clean_commits")
.setParallelism(1);
env.execute("flink_hudi_compaction");
TestData.checkWrittenFullData(tempFile, EXPECTED);
}
@Test
public void testMergeOnReadWriteWithCompaction() throws Exception {
int parallelism = 4;

View File

@@ -0,0 +1,146 @@
/*
* 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.hudi.sink.compact;
import org.apache.hudi.avro.model.HoodieCompactionPlan;
import org.apache.hudi.client.HoodieFlinkWriteClient;
import org.apache.hudi.common.table.HoodieTableMetaClient;
import org.apache.hudi.common.table.timeline.HoodieInstant;
import org.apache.hudi.common.table.timeline.HoodieTimeline;
import org.apache.hudi.common.util.CompactionUtils;
import org.apache.hudi.common.util.Option;
import org.apache.hudi.configuration.FlinkOptions;
import org.apache.hudi.table.HoodieFlinkTable;
import org.apache.hudi.util.CompactionUtil;
import org.apache.hudi.util.StreamerUtil;
import org.apache.hudi.utils.TestConfigurations;
import org.apache.hudi.utils.TestData;
import org.apache.hudi.utils.TestSQL;
import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.operators.ProcessOperator;
import org.apache.flink.table.api.EnvironmentSettings;
import org.apache.flink.table.api.TableEnvironment;
import org.apache.flink.table.api.config.ExecutionConfigOptions;
import org.apache.flink.table.api.internal.TableEnvironmentImpl;
import org.junit.jupiter.api.io.TempDir;
import org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.ValueSource;
import java.io.File;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.concurrent.TimeUnit;
import static org.junit.jupiter.api.Assertions.assertTrue;
/**
* IT cases for {@link org.apache.hudi.common.model.HoodieRecord}.
*/
public class ITTestHoodieFlinkCompactor {
private static final Map<String, List<String>> EXPECTED = new HashMap<>();
static {
EXPECTED.put("par1", Arrays.asList("id1,par1,id1,Danny,23,1000,par1", "id2,par1,id2,Stephen,33,2000,par1"));
EXPECTED.put("par2", Arrays.asList("id3,par2,id3,Julian,53,3000,par2", "id4,par2,id4,Fabian,31,4000,par2"));
EXPECTED.put("par3", Arrays.asList("id5,par3,id5,Sophia,18,5000,par3", "id6,par3,id6,Emma,20,6000,par3"));
EXPECTED.put("par4", Arrays.asList("id7,par4,id7,Bob,44,7000,par4", "id8,par4,id8,Han,56,8000,par4"));
}
@TempDir
File tempFile;
@ParameterizedTest
@ValueSource(booleans = {true, false})
public void testHoodieFlinkCompactor(boolean enableChangelog) throws Exception {
// Create hoodie table and insert into data.
EnvironmentSettings settings = EnvironmentSettings.newInstance().inBatchMode().build();
TableEnvironment tableEnv = TableEnvironmentImpl.create(settings);
tableEnv.getConfig().getConfiguration()
.setInteger(ExecutionConfigOptions.TABLE_EXEC_RESOURCE_DEFAULT_PARALLELISM, 1);
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.COMPACTION_ASYNC_ENABLED.key(), "false");
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
options.put(FlinkOptions.TABLE_TYPE.key(), "MERGE_ON_READ");
options.put(FlinkOptions.CHANGELOG_ENABLED.key(), enableChangelog + "");
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options);
tableEnv.executeSql(hoodieTableDDL);
tableEnv.executeSql(TestSQL.INSERT_T1).await();
// wait for the asynchronous commit to finish
TimeUnit.SECONDS.sleep(3);
// Make configuration and setAvroSchema.
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
FlinkCompactionConfig cfg = new FlinkCompactionConfig();
cfg.path = tempFile.getAbsolutePath();
Configuration conf = FlinkCompactionConfig.toFlinkConfig(cfg);
conf.setString(FlinkOptions.TABLE_TYPE.key(), "MERGE_ON_READ");
// create metaClient
HoodieTableMetaClient metaClient = StreamerUtil.createMetaClient(conf);
// set the table name
conf.setString(FlinkOptions.TABLE_NAME, metaClient.getTableConfig().getTableName());
// set table schema
CompactionUtil.setAvroSchema(conf, metaClient);
// infer changelog mode
CompactionUtil.inferChangelogMode(conf, metaClient);
// judge whether have operation
// To compute the compaction instant time and do compaction.
String compactionInstantTime = CompactionUtil.getCompactionInstantTime(metaClient);
HoodieFlinkWriteClient writeClient = StreamerUtil.createWriteClient(conf, null);
boolean scheduled = writeClient.scheduleCompactionAtInstant(compactionInstantTime, Option.empty());
assertTrue(scheduled, "The compaction plan should be scheduled");
HoodieFlinkTable<?> table = writeClient.getHoodieTable();
// generate compaction plan
// should support configurable commit metadata
HoodieCompactionPlan compactionPlan = CompactionUtils.getCompactionPlan(
table.getMetaClient(), compactionInstantTime);
HoodieInstant instant = HoodieTimeline.getCompactionRequestedInstant(compactionInstantTime);
// Mark instant as compaction inflight
table.getActiveTimeline().transitionCompactionRequestedToInflight(instant);
env.addSource(new CompactionPlanSourceFunction(compactionPlan, compactionInstantTime))
.name("compaction_source")
.uid("uid_compaction_source")
.rebalance()
.transform("compact_task",
TypeInformation.of(CompactionCommitEvent.class),
new ProcessOperator<>(new CompactFunction(conf)))
.setParallelism(compactionPlan.getOperations().size())
.addSink(new CompactionCommitSink(conf))
.name("clean_commits")
.uid("uid_clean_commits")
.setParallelism(1);
env.execute("flink_hudi_compaction");
TestData.checkWrittenFullData(tempFile, EXPECTED);
}
}