Java Example Code

Updated on 2022-09-14 GMT+08:00

View PDF

The following code snippets are used as an example. For complete code, see com.huawei.bigdata.hudi.examples.HoodieWriteClientExample.

Create a client object to operate Hudi:

String tablePath = args[0];
String tableName = args[1];
SparkConf sparkConf = HoodieExampleSparkUtils.defaultSparkConf("hoodie-client-example");
JavaSparkContext jsc = new JavaSparkContext(sparkConf);
// Generator of some records to be loaded in.
HoodieExampleDataGenerator<HoodieAvroPayload> dataGen = new HoodieExampleDataGenerator<>();
// initialize the table, if not done already
Path path = new Path(tablePath);
FileSystem fs = FSUtils.getFs(tablePath, jsc.hadoopConfiguration());
if (!fs.exists(path)) {
HoodieTableMetaClient.initTableType(jsc.hadoopConfiguration(), tablePath, HoodieTableType.valueOf(tableType),
tableName, HoodieAvroPayload.class.getName());
}

// Create the write client to write some records in
HoodieWriteConfig cfg = HoodieWriteConfig.newBuilder().withPath(tablePath)
    .withSchema(HoodieExampleDataGenerator.TRIP_EXAMPLE_SCHEMA).withParallelism(2, 2)
    .withDeleteParallelism(2).forTable(tableName)
    .withIndexConfig(HoodieIndexConfig.newBuilder().withIndexType(HoodieIndex.IndexType.BLOOM).build())
    .withCompactionConfig(HoodieCompactionConfig.newBuilder().archiveCommitsWith(20, 30).build()).build();
SparkRDDWriteClient<HoodieAvroPayload> client = new SparkRDDWriteClient<>(new HoodieSparkEngineContext(jsc), cfg);

Insert data:

String newCommitTime = client.startCommit();
LOG.info("Starting commit " + newCommitTime);
List<HoodieRecord<HoodieAvroPayload>> records = dataGen.generateInserts(newCommitTime, 10);
List<HoodieRecord<HoodieAvroPayload>> recordsSoFar = new ArrayList<>(records);
JavaRDD<HoodieRecord<HoodieAvroPayload>> writeRecords = jsc.parallelize(records, 1);
client.upsert(writeRecords, newCommitTime);

Update data:

newCommitTime = client.startCommit();
LOG.info("Starting commit " + newCommitTime);
List<HoodieRecord<HoodieAvroPayload>> toBeUpdated = dataGen.generateUpdates(newCommitTime, 2);
records.addAll(toBeUpdated);
recordsSoFar.addAll(toBeUpdated);
writeRecords = jsc.parallelize(records, 1);
client.upsert(writeRecords, newCommitTime);

Delete data:

newCommitTime = client.startCommit();
LOG.info("Starting commit " + newCommitTime);
// just delete half of the records
int numToDelete = recordsSoFar.size() / 2;
List<HoodieKey> toBeDeleted = recordsSoFar.stream().map(HoodieRecord::getKey).limit(numToDelete).collect(Collectors.toList());
JavaRDD<HoodieKey> deleteRecords = jsc.parallelize(toBeDeleted, 1);
client.delete(deleteRecords, newCommitTime);

Compress data.

if (HoodieTableType.valueOf(tableType) == HoodieTableType.MERGE_ON_READ) {
    Option<String> instant = client.scheduleCompaction(Option.empty());
    JavaRDD<WriteStatus> writeStatues = client.compact(instant.get());
    client.commitCompaction(instant.get(), writeStatues, Option.empty());
}

Parent topic: Using Spark to Perform Basic Hudi Operations

Previous topic: Overview

Next topic: Scala Example Code