Stream Write

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.huaweixxx.bigdata.hudi.examples.DataSchemaProviderExample // Specify the schema required by the Hudi table.

--transformer-class com.huaweixxx.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.