| /* |
| * 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.streamer; |
| |
| import org.apache.hudi.common.config.DFSPropertiesConfiguration; |
| import org.apache.hudi.common.config.TypedProperties; |
| import org.apache.hudi.common.model.HoodieRecord; |
| import org.apache.hudi.common.util.Option; |
| import org.apache.hudi.configuration.FlinkOptions; |
| import org.apache.hudi.configuration.OptionsResolver; |
| import org.apache.hudi.sink.transform.Transformer; |
| import org.apache.hudi.sink.utils.Pipelines; |
| import org.apache.hudi.util.AvroSchemaConverter; |
| import org.apache.hudi.util.StreamerUtil; |
| |
| import com.beust.jcommander.JCommander; |
| import org.apache.flink.configuration.Configuration; |
| import org.apache.flink.formats.common.TimestampFormat; |
| import org.apache.flink.formats.json.JsonRowDataDeserializationSchema; |
| import org.apache.flink.streaming.api.datastream.DataStream; |
| import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; |
| import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer; |
| import org.apache.flink.table.data.RowData; |
| import org.apache.flink.table.runtime.typeutils.InternalTypeInfo; |
| import org.apache.flink.table.types.logical.RowType; |
| |
| /** |
| * A utility which can incrementally consume data from Kafka and apply it to the target table. |
| * It has the similar functionality with SQL data source except that the source is bind to Kafka |
| * and the format is bind to JSON. |
| */ |
| public class HoodieFlinkStreamer { |
| public static void main(String[] args) throws Exception { |
| StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); |
| |
| final FlinkStreamerConfig cfg = new FlinkStreamerConfig(); |
| JCommander cmd = new JCommander(cfg, null, args); |
| if (cfg.help || args.length == 0) { |
| cmd.usage(); |
| System.exit(1); |
| } |
| env.enableCheckpointing(cfg.checkpointInterval); |
| env.getConfig().setGlobalJobParameters(cfg); |
| // We use checkpoint to trigger write operation, including instant generating and committing, |
| // There can only be one checkpoint at one time. |
| env.getCheckpointConfig().setMaxConcurrentCheckpoints(1); |
| |
| env.setStateBackend(cfg.stateBackend); |
| if (cfg.flinkCheckPointPath != null) { |
| env.getCheckpointConfig().setCheckpointStorage(cfg.flinkCheckPointPath); |
| } |
| |
| TypedProperties kafkaProps = DFSPropertiesConfiguration.getGlobalProps(); |
| kafkaProps.putAll(StreamerUtil.appendKafkaProps(cfg)); |
| |
| Configuration conf = FlinkStreamerConfig.toFlinkConfig(cfg); |
| // Read from kafka source |
| RowType rowType = |
| (RowType) AvroSchemaConverter.convertToDataType(StreamerUtil.getSourceSchema(conf)) |
| .getLogicalType(); |
| |
| long ckpTimeout = env.getCheckpointConfig().getCheckpointTimeout(); |
| int parallelism = env.getParallelism(); |
| conf.setLong(FlinkOptions.WRITE_COMMIT_ACK_TIMEOUT, ckpTimeout); |
| |
| DataStream<RowData> dataStream = env.addSource(new FlinkKafkaConsumer<>( |
| cfg.kafkaTopic, |
| new JsonRowDataDeserializationSchema( |
| rowType, |
| InternalTypeInfo.of(rowType), |
| false, |
| true, |
| TimestampFormat.ISO_8601 |
| ), kafkaProps)) |
| .name("kafka_source") |
| .uid("uid_kafka_source"); |
| |
| if (cfg.transformerClassNames != null && !cfg.transformerClassNames.isEmpty()) { |
| Option<Transformer> transformer = StreamerUtil.createTransformer(cfg.transformerClassNames); |
| if (transformer.isPresent()) { |
| dataStream = transformer.get().apply(dataStream); |
| } |
| } |
| |
| DataStream<HoodieRecord> hoodieRecordDataStream = Pipelines.bootstrap(conf, rowType, parallelism, dataStream); |
| DataStream<Object> pipeline = Pipelines.hoodieStreamWrite(conf, parallelism, hoodieRecordDataStream); |
| if (OptionsResolver.needsAsyncCompaction(conf)) { |
| Pipelines.compact(conf, pipeline); |
| } else { |
| Pipelines.clean(conf, pipeline); |
| } |
| |
| env.execute(cfg.targetTableName); |
| } |
| } |