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[HUDI-5042]fix clustering schedule problem in flink #6976

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Oct 25, 2022
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[HUDI-5042]fix clustering schedule problem in flink #6976

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2 changes: 1 addition & 1 deletion hudi-flink-datasource/hudi-flink/src/main/java/org/apache/hudi/util/StreamerUtil.java
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Original file line number Diff line number Diff line change
Expand Up @@ -171,7 +171,7 @@ public static HoodieWriteConfig getHoodieClientConfig(
.withMergeAllowDuplicateOnInserts(OptionsResolver.insertClustering(conf))
.withClusteringConfig(
HoodieClusteringConfig.newBuilder()
.withAsyncClustering(conf.getBoolean(FlinkOptions.CLUSTERING_ASYNC_ENABLED))
.withAsyncClustering(conf.getBoolean(FlinkOptions.CLUSTERING_SCHEDULE_ENABLED))
.withClusteringPlanStrategyClass(conf.getString(FlinkOptions.CLUSTERING_PLAN_STRATEGY_CLASS))
.withClusteringPlanPartitionFilterMode(
ClusteringPlanPartitionFilterMode.valueOf(conf.getString(FlinkOptions.CLUSTERING_PLAN_PARTITION_FILTER_MODE_NAME)))
Expand Down
67 changes: 67 additions & 0 deletions ...ce/hudi-flink/src/test/java/org/apache/hudi/sink/cluster/ITTestHoodieFlinkClustering.java
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Expand Up @@ -63,6 +63,7 @@
import java.util.Map;
import java.util.concurrent.TimeUnit;

import static org.junit.jupiter.api.Assertions.assertFalse;
import static org.junit.jupiter.api.Assertions.assertTrue;

/**
Expand Down Expand Up @@ -220,4 +221,70 @@ public void testHoodieFlinkClusteringService() throws Exception {

TestData.checkWrittenData(tempFile, EXPECTED, 4);
}

@Test
public void testHoodieFlinkClusteringSchedule() throws Exception {
// Create hoodie table and insert into data.
EnvironmentSettings settings = EnvironmentSettings.newInstance().inBatchMode().build();
TableEnvironment tableEnv = TableEnvironmentImpl.create(settings);
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());

// use append mode
options.put(FlinkOptions.OPERATION.key(), WriteOperationType.INSERT.value());
options.put(FlinkOptions.INSERT_CLUSTER.key(), "false");

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();
FlinkClusteringConfig cfg = new FlinkClusteringConfig();
cfg.path = tempFile.getAbsolutePath();
Configuration conf = FlinkClusteringConfig.toFlinkConfig(cfg);

// create metaClient
HoodieTableMetaClient metaClient = StreamerUtil.createMetaClient(conf);

// set the table name
conf.setString(FlinkOptions.TABLE_NAME, metaClient.getTableConfig().getTableName());

// set record key field
conf.setString(FlinkOptions.RECORD_KEY_FIELD, metaClient.getTableConfig().getRecordKeyFieldProp());
// set partition field
conf.setString(FlinkOptions.PARTITION_PATH_FIELD, metaClient.getTableConfig().getPartitionFieldProp());

long ckpTimeout = env.getCheckpointConfig().getCheckpointTimeout();
conf.setLong(FlinkOptions.WRITE_COMMIT_ACK_TIMEOUT, ckpTimeout);
conf.setString(FlinkOptions.PARTITION_PATH_FIELD, "partition");
conf.setInteger(FlinkOptions.CLUSTERING_DELTA_COMMITS, 2);
conf.setBoolean(FlinkOptions.CLUSTERING_ASYNC_ENABLED, false);
conf.setBoolean(FlinkOptions.CLUSTERING_SCHEDULE_ENABLED, true);

// set table schema
CompactionUtil.setAvroSchema(conf, metaClient);

// To compute the clustering instant time.
String clusteringInstantTime = HoodieActiveTimeline.createNewInstantTime();

HoodieFlinkWriteClient writeClient = StreamerUtil.createWriteClient(conf);

boolean scheduled = writeClient.scheduleClusteringAtInstant(clusteringInstantTime, Option.empty());

assertFalse(scheduled, "1 delta commit, the clustering plan should not be scheduled");

tableEnv.executeSql(TestSQL.INSERT_T1).await();
// wait for the asynchronous commit to finish
TimeUnit.SECONDS.sleep(3);

clusteringInstantTime = HoodieActiveTimeline.createNewInstantTime();

scheduled = writeClient.scheduleClusteringAtInstant(clusteringInstantTime, Option.empty());

assertTrue(scheduled, "2 delta commits, the clustering plan should be scheduled");
}
}