Stream Write

Stream Write Using HoodieDeltaStreamer

The HoodieDeltaStreamer tool provided by Hudi supports stream write. You can also use SparkStreaming to write data in microbatch mode. HoodieDeltaStreamer provides the following functions:

• Supports multiple data sources, such as Kafka and DFS.
• Manages checkpoints, rollback, and recovery to ensure exactly-once semantics.
• Supports user-defined transformations.

Example:

Prepare the configuration file kafka-source.properties.

#Hudi configuration
hoodie.datasource.write.recordkey.field=id
hoodie.datasource.write.partitionpath.field=age
hoodie.upsert.shuffle.parallelism=100
#hive config
hoodie.datasource.hive_sync.table=hudimor_deltastreamer_partition
hoodie.datasource.hive_sync.partition_fields=age
hoodie.datasource.hive_sync.partition_extractor_class=org.apache.hudi.hive.MultiPartKeysValueExtractor
hoodie.datasource.hive_sync.use_jdbc=false
hoodie.datasource.hive_sync.support_timestamp=true
# Kafka Source topic
hoodie.deltastreamer.source.kafka.topic=hudimor_deltastreamer_partition
#checkpoint
hoodie.deltastreamer.checkpoint.provider.path=hdfs://hacluster/tmp/huditest/hudimor_deltastreamer_partition
# Kafka props
# The kafka cluster we want to ingest from
bootstrap.servers= xx.xx.xx.xx:xx
auto.offset.reset=earliest
#auto.offset.reset=latest
group.id=hoodie-delta-streamer
offset.rang.limit=10000

Run the following commands to specify the HoodieDeltaStreamer execution parameters (for details about the parameter configuration, visit the official website https://hudi.apache.org/ ):

spark-submit --master yarn

--jars /opt/hudi-java-examples-1.0.jar // Specify the Hudi jars directory required for Spark running.

--driver-memory 1g

--executor-memory 1g --executor-cores 1 --num-executors 2 --conf spark.kryoserializer.buffer.max=128m

--driver-class-path /opt/client/Hudi/hudi/conf:/opt/client/Hudi/hudi/lib/*:/opt/client/Spark2x/spark/jars/*:/opt/hudi-examples-0.6.1-SNAPSHOT.jar:/opt/hudi-examples-0.6.1-SNAPSHOT-tests.jar // Specify the Hudi jars directory required by the Spark driver.

--class org.apache.hudi.utilities.deltastreamer.HoodieDeltaStreamer spark-internal

--props file:///opt/kafka-source.properties // Specify the configuration file. You need to set the configuration file path to the HDFS path when submitting tasks in yarn-cluster mode.

--target-base-path /tmp/huditest/hudimor1_deltastreamer_partition // Specify the path of the Hudi table.

--table-type MERGE_ON_READ // Specify the type of the Hudi table to be written.

--target-table hudimor_deltastreamer_partition // Specify the Hudi table name.

--source-ordering-field name // Specify the columns to be pre-combined in the Hudi table.

--source-class org.apache.hudi.utilities.sources.JsonKafkaSource // Set the consumed data source to JsonKafkaSource. Different source classes are specified based on different data sources.

--schemaprovider-class com.xxx.bigdata.hudi.examples.DataSchemaProviderExample // Specify the schema required by the Hudi table.

--transformer-class com.xxx.bigdata.hudi.examples.TransformerExample // Specify how to process the data obtained from the data source. Set this parameter based on service requirements.

--enable-hive-sync // Enable Hive synchronization to synchronize the Hudi table to Hive.

--continuous // Set the stream processing mode to continuous.