danny0405 commented on code in PR #11570: URL: https://github.com/apache/hudi/pull/11570#discussion_r1667216146
########## hudi-examples/hudi-examples-k8s/src/main/java/org/apache/hudi/examples/k8s/quickstart/HudiDataStreamWriter.java: ########## @@ -0,0 +1,214 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you 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. + */ + +package org.apache.hudi.examples.k8s.quickstart; + +import org.apache.flink.streaming.api.CheckpointingMode; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.datastream.DataStreamSource; +import org.apache.flink.streaming.api.environment.CheckpointConfig; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +import org.apache.flink.streaming.api.functions.source.SourceFunction; +import org.apache.flink.table.api.DataTypes; +import org.apache.flink.table.data.RowData; +import org.apache.flink.table.data.StringData; +import org.apache.flink.table.data.TimestampData; +import org.apache.flink.table.data.binary.BinaryRowData; +import org.apache.flink.table.data.writer.BinaryRowWriter; +import org.apache.flink.table.data.writer.BinaryWriter; +import org.apache.flink.table.runtime.typeutils.InternalSerializers; +import org.apache.flink.table.types.DataType; +import org.apache.flink.table.types.logical.LogicalType; +import org.apache.flink.table.types.logical.RowType; +import org.apache.flink.types.RowKind; +import org.apache.hudi.common.model.HoodieTableType; +import org.apache.hudi.configuration.FlinkOptions; +import org.apache.hudi.util.HoodiePipeline; +import org.apache.hudi.common.config.HoodieCommonConfig; + +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.UUID; +import java.util.concurrent.TimeUnit; + +/** + * This Flink program serves as a demonstration of inserting, updating, and deleting records in a Hudi table using the DataStream API. + * The program inserts four messages for ten batches. Two of the messages generate a random UUID, acting as new insert records, while + * two records reuse the same record keys, resulting in an update for those two records in each batch. + * In the first batch, four new records are inserted into a newly created Hudi table. + * Subsequently, after each batch, two new records are inserted, leading to an increment in the count by two with each batch. + * In the 11th batch, we illustrate the delete operation by publishing a record with the delete row kind. As a result, + * we observe the deletion of the third ID after this batch. + * + * After this code finishes you should see total 21 records in hudi table. + */ +public class HudiDataStreamWriter { + + /** + * Main Entry point takes two parameters. + * It can be run with Flink cli. + * Sample Command - bin/flink run -c com.hudi.flink.quickstart.HudiDataStreamWriter ${HUDI_FLINK_QUICKSTART_REPO}/target/hudi-examples-0.1.jar hudi_table "file:///tmp/hudi_table" + * + * @param args + * @throws Exception + */ + public static void main(String[] args) throws Exception { + StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); + + // Enable checkpointing + configureCheckpointing(env); + + DataStreamSource<RowData> dataStream = env.addSource(new SampleDataSource()); + + final String targetS3Path = System.getenv("TARGET_S3_PATH"); + HoodiePipeline.Builder builder = createHudiPipeline("hudi_table", createHudiOptions(targetS3Path)); + builder.sink(dataStream, false); + + env.execute("Api_Sink"); + } + + /** + * Configure Flink checkpointing settings. + * + * @param env The Flink StreamExecutionEnvironment. + */ + private static void configureCheckpointing(StreamExecutionEnvironment env) { + env.enableCheckpointing(5000); // Checkpoint every 5 seconds + CheckpointConfig checkpointConfig = env.getCheckpointConfig(); + checkpointConfig.setCheckpointingMode(CheckpointingMode.EXACTLY_ONCE); + checkpointConfig.setMinPauseBetweenCheckpoints(10000); // Minimum time between checkpoints + checkpointConfig.setCheckpointTimeout(60000); // Checkpoint timeout in milliseconds + } + + /** + * Create Hudi options for the data sink. + * + * @param basePath The base path for Hudi data. + * @return A Map containing Hudi options. + */ + private static Map<String, String> createHudiOptions(String basePath) { + Map<String, String> options = new HashMap<>(); + options.put(FlinkOptions.PATH.key(), basePath); + options.put(HoodieCommonConfig.HOODIE_FS_ATOMIC_CREATION_SUPPORT.key(), "s3a"); + options.put(FlinkOptions.TABLE_TYPE.key(), HoodieTableType.MERGE_ON_READ.name()); + options.put(FlinkOptions.PRECOMBINE_FIELD.key(), "ts"); + options.put(FlinkOptions.RECORD_KEY_FIELD.key(), "uuid"); + options.put(FlinkOptions.IGNORE_FAILED.key(), "true"); + return options; + } + + /** + * Create a HudiPipeline.Builder with the specified target table and options. + * + * @param targetTable The name of the Hudi table. + * @param options The Hudi options for the data sink. + * @return A HudiPipeline.Builder. + */ + private static HoodiePipeline.Builder createHudiPipeline(String targetTable, Map<String, String> options) { + return HoodiePipeline.builder(targetTable) + .column("ts TIMESTAMP(3)") + .column("uuid VARCHAR(40)") + .column("rider VARCHAR(20)") + .column("driver VARCHAR(20)") + .column("fare DOUBLE") + .column("city VARCHAR(20)") + .pk("uuid") + .partition("city") + .options(options); + } + + /** + * Sample data source for generating RowData objects. + */ + static class SampleDataSource implements SourceFunction<RowData> { + private volatile boolean isRunning = true; + public static BinaryRowData insertRow(Object... fields) { + + DataType ROW_DATA_TYPE = DataTypes.ROW( Review Comment: Maybe we can move the constant row type as a member variable or a separate utility class. -- This is an automated message from the Apache Git Service. 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