/* * Copyright (c) 2016 Uber Technologies, Inc. (hoodie-dev-group@uber.com) * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ import com.beust.jcommander.JCommander; import com.beust.jcommander.Parameter; import com.uber.hoodie.HoodieWriteClient; import com.uber.hoodie.common.HoodieTestDataGenerator; import com.uber.hoodie.common.model.HoodieAvroPayload; import com.uber.hoodie.common.model.HoodieRecord; import com.uber.hoodie.common.model.HoodieTableType; import com.uber.hoodie.common.table.HoodieTableConfig; import com.uber.hoodie.common.table.HoodieTableMetaClient; import com.uber.hoodie.common.util.FSUtils; import com.uber.hoodie.config.HoodieIndexConfig; import com.uber.hoodie.config.HoodieWriteConfig; import com.uber.hoodie.index.HoodieIndex; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.log4j.LogManager; import org.apache.log4j.Logger; import org.apache.spark.SparkConf; import org.apache.spark.api.java.JavaRDD; import org.apache.spark.api.java.JavaSparkContext; import java.util.List; /** * Driver program that uses the Hoodie client with synthetic workload, and performs basic * operations.
*/
public class HoodieClientExample {
@Parameter(names={"--table-path", "-p"}, description = "path for Hoodie sample table")
private String tablePath = "file:///tmp/hoodie/sample-table";
@Parameter(names={"--table-name", "-n"}, description = "table name for Hoodie sample table")
private String tableName = "hoodie_rt";
@Parameter(names={"--table-type", "-t"}, description = "One of COPY_ON_WRITE or MERGE_ON_READ")
private String tableType = HoodieTableType.COPY_ON_WRITE.name();
@Parameter(names = {"--help", "-h"}, help = true)
public Boolean help = false;
private static Logger logger = LogManager.getLogger(HoodieClientExample.class);
public static void main(String[] args) throws Exception {
HoodieClientExample cli = new HoodieClientExample();
JCommander cmd = new JCommander(cli, args);
if (cli.help) {
cmd.usage();
System.exit(1);
}
cli.run();
}
public void run() throws Exception {
SparkConf sparkConf = new SparkConf().setAppName("hoodie-client-example");
sparkConf.setMaster("local[1]");
sparkConf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
sparkConf.set("spark.kryoserializer.buffer.max", "512m");
JavaSparkContext jsc = new JavaSparkContext(sparkConf);
// Generator of some records to be loaded in.
HoodieTestDataGenerator dataGen = new HoodieTestDataGenerator();
// initialize the table, if not done already
Path path = new Path(tablePath);
FileSystem fs = FSUtils.getFs();
if (!fs.exists(path)) {
HoodieTableMetaClient.initTableType(fs, tablePath, HoodieTableType.valueOf(tableType), tableName, HoodieAvroPayload.class.getName());
}
// Create the write client to write some records in
HoodieWriteConfig cfg = HoodieWriteConfig.newBuilder().withPath(tablePath)
.withSchema(HoodieTestDataGenerator.TRIP_EXAMPLE_SCHEMA).withParallelism(2, 2)
.forTable(tableName).withIndexConfig(
HoodieIndexConfig.newBuilder().withIndexType(HoodieIndex.IndexType.BLOOM).build())
.build();
HoodieWriteClient client = new HoodieWriteClient(jsc, cfg);
/**
* Write 1 (only inserts)
*/
String newCommitTime = client.startCommit();
logger.info("Starting commit " + newCommitTime);
List