Merge pull request #3268 from yuzhaojing/HUDI-2171

[HUDI-2171] Add parallelism conf for bootstrap operator

hudi-flink/src/main/java/org/apache/hudi/configuration/FlinkOptions.java

@@ -286,8 +286,14 @@ public class FlinkOptions {
       .defaultValue(KeyGeneratorType.SIMPLE.name())
       .withDescription("Key generator type, that implements will extract the key out of incoming record");
 
+  public static final ConfigOption<Integer> INDEX_BOOTSTRAP_TASKS = ConfigOptions
+      .key("write.index_bootstrap.tasks")
+      .intType()
+      .defaultValue(4)
+      .withDescription("Parallelism of tasks that do index bootstrap, default is 4");
+
   public static final ConfigOption<Integer> BUCKET_ASSIGN_TASKS = ConfigOptions
-      .key("bucket_assign.tasks")
+      .key("write.bucket_assign.tasks")
       .intType()
       .defaultValue(4)
       .withDescription("Parallelism of tasks that do bucket assign, default is 4");

hudi-flink/src/main/java/org/apache/hudi/streamer/FlinkStreamerConfig.java

@@ -126,6 +126,9 @@ public class FlinkStreamerConfig extends Configuration {
   @Parameter(names = {"--help", "-h"}, help = true)
   public Boolean help = false;
 
+  @Parameter(names = {"--index-bootstrap-num"}, description = "Parallelism of tasks that do bucket assign, default is 4.")
+  public Integer indexBootstrapNum = 4;
+
   @Parameter(names = {"--bucket-assign-num"}, description = "Parallelism of tasks that do bucket assign, default is 4.")
   public Integer bucketAssignNum = 4;
 
@@ -316,6 +319,7 @@ public class FlinkStreamerConfig extends Configuration {
     } else {
       conf.setString(FlinkOptions.KEYGEN_TYPE, config.keygenType);
     }
+    conf.setInteger(FlinkOptions.INDEX_BOOTSTRAP_TASKS, config.indexBootstrapNum);
     conf.setInteger(FlinkOptions.BUCKET_ASSIGN_TASKS, config.bucketAssignNum);
     conf.setInteger(FlinkOptions.WRITE_TASKS, config.writeTaskNum);
     conf.setString(FlinkOptions.PARTITION_DEFAULT_NAME, config.partitionDefaultName);

hudi-flink/src/main/java/org/apache/hudi/streamer/HoodieFlinkStreamer.java

@@ -52,7 +52,7 @@ import java.util.Properties;
 /**
  * An Utility which can incrementally consume data from Kafka and apply it to the target table.
  * currently, it only support COW table and insert, upsert operation.
- *
+ * <p>
  * note: HoodieFlinkStreamer is not suitable to initialize on large tables when we have no checkpoint to restore from.
  */
 public class HoodieFlinkStreamer {
@@ -98,9 +98,13 @@ public class HoodieFlinkStreamer {
         .uid("uid_kafka_source")
         .map(new RowDataToHoodieFunction<>(rowType, conf), TypeInformation.of(HoodieRecord.class));
     if (conf.getBoolean(FlinkOptions.INDEX_BOOTSTRAP_ENABLED)) {
-      hoodieDataStream = hoodieDataStream.rebalance().transform("index_bootstrap",
+      hoodieDataStream = hoodieDataStream.rebalance()
+          .transform(
+              "index_bootstrap",
               TypeInformation.of(HoodieRecord.class),
-              new ProcessOperator<>(new BootstrapFunction<>(conf)));
+              new ProcessOperator<>(new BootstrapFunction<>(conf)))
+          .setParallelism(conf.getInteger(FlinkOptions.INDEX_BOOTSTRAP_TASKS))
+          .uid("uid_index_bootstrap_" + conf.getString(FlinkOptions.TABLE_NAME));
     }
 
     DataStream<Object> pipeline = hoodieDataStream

hudi-flink/src/main/java/org/apache/hudi/table/HoodieTableSink.java

@@ -80,9 +80,11 @@ public class HoodieTableSink implements DynamicTableSink, SupportsPartitioning,
       // TODO: This is a very time-consuming operation, will optimization
       if (conf.getBoolean(FlinkOptions.INDEX_BOOTSTRAP_ENABLED)) {
         hoodieDataStream = hoodieDataStream.rebalance()
-            .transform("index_bootstrap",
+            .transform(
+                "index_bootstrap",
                 TypeInformation.of(HoodieRecord.class),
                 new ProcessOperator<>(new BootstrapFunction<>(conf)))
+            .setParallelism(conf.getInteger(FlinkOptions.INDEX_BOOTSTRAP_TASKS))
             .uid("uid_index_bootstrap_" + conf.getString(FlinkOptions.TABLE_NAME));
       }