[HUDI-1522] Add a new pipeline for Flink writer (#2430)
* [HUDI-1522] Add a new pipeline for Flink writer
This commit is contained in:
Danny Chan
@@ -1,198 +0,0 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hudi;
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import org.apache.hudi.client.WriteStatus;
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import org.apache.hudi.common.config.TypedProperties;
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import org.apache.hudi.common.model.HoodieRecord;
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import org.apache.hudi.common.model.OverwriteWithLatestAvroPayload;
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import org.apache.hudi.common.model.WriteOperationType;
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import org.apache.hudi.config.HoodieWriteConfig;
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import org.apache.hudi.operator.InstantGenerateOperator;
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import org.apache.hudi.operator.KeyedWriteProcessFunction;
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import org.apache.hudi.operator.KeyedWriteProcessOperator;
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import org.apache.hudi.sink.CommitSink;
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import org.apache.hudi.source.JsonStringToHoodieRecordMapFunction;
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import org.apache.hudi.util.StreamerUtil;
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import com.beust.jcommander.IStringConverter;
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import com.beust.jcommander.JCommander;
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import com.beust.jcommander.Parameter;
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import com.beust.jcommander.ParameterException;
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import org.apache.flink.api.common.serialization.SimpleStringSchema;
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import org.apache.flink.api.common.typeinfo.TypeHint;
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import org.apache.flink.api.common.typeinfo.TypeInformation;
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import org.apache.flink.api.java.tuple.Tuple3;
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import org.apache.flink.configuration.Configuration;
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import org.apache.flink.runtime.state.filesystem.FsStateBackend;
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import org.apache.flink.streaming.api.datastream.DataStream;
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import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
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import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;
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import org.apache.kafka.clients.consumer.ConsumerConfig;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Objects;
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/**
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* An Utility which can incrementally consume data from Kafka and apply it to the target table.
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* currently, it only support COW table and insert, upsert operation.
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*/
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public class HoodieFlinkStreamer {
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public static void main(String[] args) throws Exception {
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StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
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final Config cfg = new Config();
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JCommander cmd = new JCommander(cfg, null, args);
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if (cfg.help || args.length == 0) {
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cmd.usage();
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System.exit(1);
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}
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env.enableCheckpointing(cfg.checkpointInterval);
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env.getConfig().setGlobalJobParameters(cfg);
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// We use checkpoint to trigger write operation, including instant generating and committing,
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// There can only be one checkpoint at one time.
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env.getCheckpointConfig().setMaxConcurrentCheckpoints(1);
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env.disableOperatorChaining();
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if (cfg.flinkCheckPointPath != null) {
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env.setStateBackend(new FsStateBackend(cfg.flinkCheckPointPath));
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}
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TypedProperties props = StreamerUtil.getProps(cfg);
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// add kafka config
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props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, cfg.kafkaBootstrapServers);
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props.put(ConsumerConfig.GROUP_ID_CONFIG, cfg.kafkaGroupId);
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// add data source config
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props.put(HoodieWriteConfig.WRITE_PAYLOAD_CLASS, cfg.payloadClassName);
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props.put(HoodieWriteConfig.PRECOMBINE_FIELD_PROP, cfg.sourceOrderingField);
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// Read from kafka source
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DataStream<HoodieRecord> inputRecords =
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env.addSource(new FlinkKafkaConsumer<>(cfg.kafkaTopic, new SimpleStringSchema(), props))
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.filter(Objects::nonNull)
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.map(new JsonStringToHoodieRecordMapFunction(props))
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.name("kafka_to_hudi_record")
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.uid("kafka_to_hudi_record_uid");
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// InstantGenerateOperator helps to emit globally unique instantTime
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inputRecords.transform(InstantGenerateOperator.NAME, TypeInformation.of(HoodieRecord.class), new InstantGenerateOperator())
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.name("instant_generator")
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.uid("instant_generator_id")
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// Keyby partition path, to avoid multiple subtasks writing to a partition at the same time
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.keyBy(HoodieRecord::getPartitionPath)
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// write operator, where the write operation really happens
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.transform(KeyedWriteProcessOperator.NAME, TypeInformation.of(new TypeHint<Tuple3<String, List<WriteStatus>, Integer>>() {
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}), new KeyedWriteProcessOperator(new KeyedWriteProcessFunction()))
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.name("write_process")
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.uid("write_process_uid")
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.setParallelism(env.getParallelism())
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// Commit can only be executed once, so make it one parallelism
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.addSink(new CommitSink())
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.name("commit_sink")
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.uid("commit_sink_uid")
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.setParallelism(1);
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env.execute(cfg.targetTableName);
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}
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public static class Config extends Configuration {
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@Parameter(names = {"--kafka-topic"}, description = "kafka topic", required = true)
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public String kafkaTopic;
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@Parameter(names = {"--kafka-group-id"}, description = "kafka consumer group id", required = true)
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public String kafkaGroupId;
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@Parameter(names = {"--kafka-bootstrap-servers"}, description = "kafka bootstrap.servers", required = true)
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public String kafkaBootstrapServers;
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@Parameter(names = {"--flink-checkpoint-path"}, description = "flink checkpoint path")
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public String flinkCheckPointPath;
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@Parameter(names = {"--flink-block-retry-times"}, description = "Times to retry when latest instant has not completed")
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public String blockRetryTime = "10";
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@Parameter(names = {"--flink-block-retry-interval"}, description = "Seconds between two tries when latest instant has not completed")
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public String blockRetryInterval = "1";
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@Parameter(names = {"--target-base-path"},
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description = "base path for the target hoodie table. "
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+ "(Will be created if did not exist first time around. If exists, expected to be a hoodie table)",
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required = true)
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public String targetBasePath;
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@Parameter(names = {"--target-table"}, description = "name of the target table in Hive", required = true)
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public String targetTableName;
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@Parameter(names = {"--table-type"}, description = "Type of table. COPY_ON_WRITE (or) MERGE_ON_READ", required = true)
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public String tableType;
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@Parameter(names = {"--props"}, description = "path to properties file on localfs or dfs, with configurations for "
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+ "hoodie client, schema provider, key generator and data source. For hoodie client props, sane defaults are "
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+ "used, but recommend use to provide basic things like metrics endpoints, hive configs etc. For sources, refer"
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+ "to individual classes, for supported properties.")
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public String propsFilePath =
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"file://" + System.getProperty("user.dir") + "/src/test/resources/delta-streamer-config/dfs-source.properties";
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@Parameter(names = {"--hoodie-conf"}, description = "Any configuration that can be set in the properties file "
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+ "(using the CLI parameter \"--props\") can also be passed command line using this parameter.")
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public List<String> configs = new ArrayList<>();
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@Parameter(names = {"--source-ordering-field"}, description = "Field within source record to decide how"
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+ " to break ties between records with same key in input data. Default: 'ts' holding unix timestamp of record")
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public String sourceOrderingField = "ts";
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@Parameter(names = {"--payload-class"}, description = "subclass of HoodieRecordPayload, that works off "
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+ "a GenericRecord. Implement your own, if you want to do something other than overwriting existing value")
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public String payloadClassName = OverwriteWithLatestAvroPayload.class.getName();
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@Parameter(names = {"--op"}, description = "Takes one of these values : UPSERT (default), INSERT (use when input "
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+ "is purely new data/inserts to gain speed)", converter = OperationConverter.class)
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public WriteOperationType operation = WriteOperationType.UPSERT;
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@Parameter(names = {"--filter-dupes"},
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description = "Should duplicate records from source be dropped/filtered out before insert/bulk-insert")
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public Boolean filterDupes = false;
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@Parameter(names = {"--commit-on-errors"}, description = "Commit even when some records failed to be written")
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public Boolean commitOnErrors = false;
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/**
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* Flink checkpoint interval.
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*/
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@Parameter(names = {"--checkpoint-interval"}, description = "Flink checkpoint interval.")
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public Long checkpointInterval = 1000 * 5L;
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@Parameter(names = {"--help", "-h"}, help = true)
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public Boolean help = false;
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}
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private static class OperationConverter implements IStringConverter<WriteOperationType> {
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@Override
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public WriteOperationType convert(String value) throws ParameterException {
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return WriteOperationType.valueOf(value);
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}
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}
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}
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@@ -0,0 +1,249 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hudi.operator;
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import org.apache.hudi.common.model.HoodieTableType;
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import org.apache.hudi.config.HoodieWriteConfig;
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import org.apache.hudi.streamer.FlinkStreamerConfig;
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import org.apache.hudi.common.model.OverwriteWithLatestAvroPayload;
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import org.apache.hudi.keygen.SimpleAvroKeyGenerator;
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import org.apache.hudi.keygen.constant.KeyGeneratorOptions;
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import org.apache.hudi.util.StreamerUtil;
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import org.apache.flink.configuration.ConfigOption;
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import org.apache.flink.configuration.ConfigOptions;
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import org.apache.flink.configuration.Configuration;
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import java.util.Arrays;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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/**
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* Hoodie Flink config options.
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*
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* <p>It has the options for Hoodie table read and write. It also defines some utilities.
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*/
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public class FlinkOptions {
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private FlinkOptions() {
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}
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// ------------------------------------------------------------------------
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// Base Options
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// ------------------------------------------------------------------------
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public static final ConfigOption<String> PATH = ConfigOptions
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.key("path")
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.stringType()
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.noDefaultValue()
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.withDescription("Base path for the target hoodie table."
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+ "\nThe path would be created if it does not exist,\n"
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+ "otherwise a Hoodie table expects to be initialized successfully");
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// ------------------------------------------------------------------------
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// Read Options
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// ------------------------------------------------------------------------
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public static final ConfigOption<String> READ_SCHEMA_FILE_PATH = ConfigOptions
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.key("read.schema.file.path")
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.stringType()
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.noDefaultValue()
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.withDescription("Avro schema file path, the parsed schema is used for deserializing");
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// ------------------------------------------------------------------------
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// Write Options
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// ------------------------------------------------------------------------
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public static final ConfigOption<String> TABLE_NAME = ConfigOptions
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.key(HoodieWriteConfig.TABLE_NAME)
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.stringType()
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.noDefaultValue()
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.withDescription("Table name to register to Hive metastore");
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public static final ConfigOption<String> TABLE_TYPE = ConfigOptions
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.key("write.table.type")
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.stringType()
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.defaultValue(HoodieTableType.COPY_ON_WRITE.name())
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.withDescription("Type of table to write, COPY_ON_WRITE (or) MERGE_ON_READ");
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public static final ConfigOption<String> OPERATION = ConfigOptions
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.key("write.operation")
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.stringType()
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.defaultValue("upsert")
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.withDescription("The write operation, that this write should do");
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public static final ConfigOption<String> PRECOMBINE_FIELD = ConfigOptions
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.key("write.precombine.field")
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.stringType()
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.defaultValue("ts")
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.withDescription("Field used in preCombining before actual write. When two records have the same\n"
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+ "key value, we will pick the one with the largest value for the precombine field,\n"
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+ "determined by Object.compareTo(..)");
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public static final ConfigOption<String> PAYLOAD_CLASS = ConfigOptions
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.key("write.payload.class")
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.stringType()
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.defaultValue(OverwriteWithLatestAvroPayload.class.getName())
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.withDescription("Payload class used. Override this, if you like to roll your own merge logic, when upserting/inserting.\n"
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+ "This will render any value set for the option in-effective");
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/**
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* Flag to indicate whether to drop duplicates upon insert.
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* By default insert will accept duplicates, to gain extra performance.
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*/
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public static final ConfigOption<Boolean> INSERT_DROP_DUPS = ConfigOptions
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.key("write.insert.drop.duplicates")
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.booleanType()
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.defaultValue(false)
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.withDescription("Flag to indicate whether to drop duplicates upon insert.\n"
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+ "By default insert will accept duplicates, to gain extra performance");
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public static final ConfigOption<Integer> RETRY_TIMES = ConfigOptions
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.key("write.retry.times")
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.intType()
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.defaultValue(3)
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.withDescription("Flag to indicate how many times streaming job should retry for a failed checkpoint batch.\n"
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+ "By default 3");
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public static final ConfigOption<Long> RETRY_INTERVAL_MS = ConfigOptions
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.key("write.retry.interval.ms")
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.longType()
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.defaultValue(2000L)
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.withDescription("Flag to indicate how long (by millisecond) before a retry should issued for failed checkpoint batch.\n"
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+ "By default 2000 and it will be doubled by every retry");
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public static final ConfigOption<Boolean> IGNORE_FAILED = ConfigOptions
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.key("write.ignore.failed")
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.booleanType()
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.defaultValue(true)
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.withDescription("Flag to indicate whether to ignore any non exception error (e.g. writestatus error). within a checkpoint batch.\n"
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+ "By default true (in favor of streaming progressing over data integrity)");
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public static final ConfigOption<String> RECORD_KEY_FIELD = ConfigOptions
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.key(KeyGeneratorOptions.RECORDKEY_FIELD_OPT_KEY)
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.stringType()
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.defaultValue("uuid")
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.withDescription("Record key field. Value to be used as the `recordKey` component of `HoodieKey`.\n"
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+ "Actual value will be obtained by invoking .toString() on the field value. Nested fields can be specified using "
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+ "the dot notation eg: `a.b.c`");
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public static final ConfigOption<String> PARTITION_PATH_FIELD = ConfigOptions
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.key(KeyGeneratorOptions.PARTITIONPATH_FIELD_OPT_KEY)
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.stringType()
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.defaultValue("partition-path")
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.withDescription("Partition path field. Value to be used at the `partitionPath` component of `HoodieKey`.\n"
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+ "Actual value obtained by invoking .toString()");
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public static final ConfigOption<String> KEYGEN_CLASS = ConfigOptions
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.key(HoodieWriteConfig.KEYGENERATOR_CLASS_PROP)
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.stringType()
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.defaultValue(SimpleAvroKeyGenerator.class.getName())
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.withDescription("Key generator class, that implements will extract the key out of incoming record");
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public static final ConfigOption<Integer> WRITE_TASK_PARALLELISM = ConfigOptions
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.key("write.task.parallelism")
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.intType()
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.defaultValue(4)
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.withDescription("Parallelism of tasks that do actual write, default is 4");
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// -------------------------------------------------------------------------
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// Utilities
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// -------------------------------------------------------------------------
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// Remember to update the set when adding new options.
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public static final List<ConfigOption<?>> OPTIONAL_OPTIONS = Arrays.asList(
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TABLE_TYPE, OPERATION, PRECOMBINE_FIELD, PAYLOAD_CLASS, INSERT_DROP_DUPS, RETRY_TIMES,
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RETRY_INTERVAL_MS, IGNORE_FAILED, RECORD_KEY_FIELD, PARTITION_PATH_FIELD, KEYGEN_CLASS
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);
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// Prefix for Hoodie specific properties.
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private static final String PROPERTIES_PREFIX = "properties.";
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/**
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* Transforms a {@code HoodieFlinkStreamer.Config} into {@code Configuration}.
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* The latter is more suitable for the table APIs. It reads all the properties
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* in the properties file (set by `--props` option) and cmd line options
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* (set by `--hoodie-conf` option).
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*/
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@SuppressWarnings("unchecked, rawtypes")
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public static org.apache.flink.configuration.Configuration fromStreamerConfig(FlinkStreamerConfig config) {
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Map<String, String> propsMap = new HashMap<String, String>((Map) StreamerUtil.getProps(config));
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org.apache.flink.configuration.Configuration conf = fromMap(propsMap);
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conf.setString(FlinkOptions.PATH, config.targetBasePath);
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conf.setString(READ_SCHEMA_FILE_PATH, config.readSchemaFilePath);
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conf.setString(FlinkOptions.TABLE_NAME, config.targetTableName);
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// copy_on_write works same as COPY_ON_WRITE
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conf.setString(FlinkOptions.TABLE_TYPE, config.tableType.toUpperCase());
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conf.setString(FlinkOptions.OPERATION, config.operation.value());
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conf.setString(FlinkOptions.PRECOMBINE_FIELD, config.sourceOrderingField);
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conf.setString(FlinkOptions.PAYLOAD_CLASS, config.payloadClassName);
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conf.setBoolean(FlinkOptions.INSERT_DROP_DUPS, config.filterDupes);
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conf.setInteger(FlinkOptions.RETRY_TIMES, Integer.parseInt(config.instantRetryTimes));
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conf.setLong(FlinkOptions.RETRY_INTERVAL_MS, Long.parseLong(config.instantRetryInterval));
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conf.setBoolean(FlinkOptions.IGNORE_FAILED, config.commitOnErrors);
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conf.setString(FlinkOptions.RECORD_KEY_FIELD, config.recordKeyField);
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conf.setString(FlinkOptions.PARTITION_PATH_FIELD, config.partitionPathField);
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conf.setString(FlinkOptions.KEYGEN_CLASS, config.keygenClass);
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conf.setInteger(FlinkOptions.WRITE_TASK_PARALLELISM, config.writeTaskNum);
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return conf;
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}
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/**
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* Collects the config options that start with 'properties.' into a 'key'='value' list.
|
||||
*/
|
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public static Map<String, String> getHoodieProperties(Map<String, String> options) {
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final Map<String, String> hoodieProperties = new HashMap<>();
|
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|
||||
if (hasPropertyOptions(options)) {
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options.keySet().stream()
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.filter(key -> key.startsWith(PROPERTIES_PREFIX))
|
||||
.forEach(key -> {
|
||||
final String value = options.get(key);
|
||||
final String subKey = key.substring((PROPERTIES_PREFIX).length());
|
||||
hoodieProperties.put(subKey, value);
|
||||
});
|
||||
}
|
||||
return hoodieProperties;
|
||||
}
|
||||
|
||||
/**
|
||||
* Collects all the config options, the 'properties.' prefix would be removed if the option key starts with it.
|
||||
*/
|
||||
public static Configuration flatOptions(Configuration conf) {
|
||||
final Map<String, String> propsMap = new HashMap<>();
|
||||
|
||||
conf.toMap().forEach((key, value) -> {
|
||||
final String subKey = key.startsWith(PROPERTIES_PREFIX)
|
||||
? key.substring((PROPERTIES_PREFIX).length())
|
||||
: key;
|
||||
propsMap.put(subKey, value);
|
||||
});
|
||||
return fromMap(propsMap);
|
||||
}
|
||||
|
||||
private static boolean hasPropertyOptions(Map<String, String> options) {
|
||||
return options.keySet().stream().anyMatch(k -> k.startsWith(PROPERTIES_PREFIX));
|
||||
}
|
||||
|
||||
/** Creates a new configuration that is initialized with the options of the given map. */
|
||||
private static Configuration fromMap(Map<String, String> map) {
|
||||
final Configuration configuration = new Configuration();
|
||||
map.forEach(configuration::setString);
|
||||
return configuration;
|
||||
}
|
||||
}
|
||||
@@ -18,7 +18,7 @@
|
||||
|
||||
package org.apache.hudi.operator;
|
||||
|
||||
import org.apache.hudi.HoodieFlinkStreamer;
|
||||
import org.apache.hudi.streamer.FlinkStreamerConfig;
|
||||
import org.apache.hudi.client.FlinkTaskContextSupplier;
|
||||
import org.apache.hudi.client.HoodieFlinkWriteClient;
|
||||
import org.apache.hudi.client.common.HoodieFlinkEngineContext;
|
||||
@@ -66,7 +66,7 @@ public class InstantGenerateOperator extends AbstractStreamOperator<HoodieRecord
|
||||
private static final Logger LOG = LoggerFactory.getLogger(InstantGenerateOperator.class);
|
||||
public static final String NAME = "InstantGenerateOperator";
|
||||
|
||||
private HoodieFlinkStreamer.Config cfg;
|
||||
private FlinkStreamerConfig cfg;
|
||||
private HoodieFlinkWriteClient writeClient;
|
||||
private SerializableConfiguration serializableHadoopConf;
|
||||
private transient FileSystem fs;
|
||||
@@ -94,13 +94,13 @@ public class InstantGenerateOperator extends AbstractStreamOperator<HoodieRecord
|
||||
public void open() throws Exception {
|
||||
super.open();
|
||||
// get configs from runtimeContext
|
||||
cfg = (HoodieFlinkStreamer.Config) runtimeContext.getExecutionConfig().getGlobalJobParameters();
|
||||
cfg = (FlinkStreamerConfig) getRuntimeContext().getExecutionConfig().getGlobalJobParameters();
|
||||
|
||||
// retry times
|
||||
retryTimes = Integer.valueOf(cfg.blockRetryTime);
|
||||
retryTimes = Integer.valueOf(cfg.instantRetryTimes);
|
||||
|
||||
// retry interval
|
||||
retryInterval = Integer.valueOf(cfg.blockRetryInterval);
|
||||
retryInterval = Integer.valueOf(cfg.instantRetryInterval);
|
||||
|
||||
// hadoopConf
|
||||
serializableHadoopConf = new SerializableConfiguration(StreamerUtil.getHadoopConf());
|
||||
|
||||
@@ -18,7 +18,7 @@
|
||||
|
||||
package org.apache.hudi.operator;
|
||||
|
||||
import org.apache.hudi.HoodieFlinkStreamer;
|
||||
import org.apache.hudi.streamer.FlinkStreamerConfig;
|
||||
import org.apache.hudi.client.FlinkTaskContextSupplier;
|
||||
import org.apache.hudi.client.HoodieFlinkWriteClient;
|
||||
import org.apache.hudi.client.WriteStatus;
|
||||
@@ -77,7 +77,7 @@ public class KeyedWriteProcessFunction extends KeyedProcessFunction<String, Hood
|
||||
/**
|
||||
* Job conf.
|
||||
*/
|
||||
private HoodieFlinkStreamer.Config cfg;
|
||||
private FlinkStreamerConfig cfg;
|
||||
|
||||
/**
|
||||
* Write Client.
|
||||
@@ -90,7 +90,7 @@ public class KeyedWriteProcessFunction extends KeyedProcessFunction<String, Hood
|
||||
|
||||
indexOfThisSubtask = getRuntimeContext().getIndexOfThisSubtask();
|
||||
|
||||
cfg = (HoodieFlinkStreamer.Config) getRuntimeContext().getExecutionConfig().getGlobalJobParameters();
|
||||
cfg = (FlinkStreamerConfig) getRuntimeContext().getExecutionConfig().getGlobalJobParameters();
|
||||
|
||||
HoodieFlinkEngineContext context =
|
||||
new HoodieFlinkEngineContext(new SerializableConfiguration(new org.apache.hadoop.conf.Configuration()), new FlinkTaskContextSupplier(getRuntimeContext()));
|
||||
|
||||
@@ -0,0 +1,313 @@
|
||||
/*
|
||||
* 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.operator;
|
||||
|
||||
import org.apache.hudi.avro.HoodieAvroUtils;
|
||||
import org.apache.hudi.client.FlinkTaskContextSupplier;
|
||||
import org.apache.hudi.client.HoodieFlinkWriteClient;
|
||||
import org.apache.hudi.client.WriteStatus;
|
||||
import org.apache.hudi.client.common.HoodieFlinkEngineContext;
|
||||
import org.apache.hudi.common.config.SerializableConfiguration;
|
||||
import org.apache.hudi.common.model.HoodieRecord;
|
||||
import org.apache.hudi.common.model.HoodieRecordPayload;
|
||||
import org.apache.hudi.common.model.WriteOperationType;
|
||||
import org.apache.hudi.keygen.KeyGenerator;
|
||||
import org.apache.hudi.operator.event.BatchWriteSuccessEvent;
|
||||
import org.apache.hudi.util.RowDataToAvroConverters;
|
||||
import org.apache.hudi.util.StreamerUtil;
|
||||
|
||||
import org.apache.avro.Schema;
|
||||
import org.apache.avro.generic.GenericRecord;
|
||||
import org.apache.flink.annotation.VisibleForTesting;
|
||||
import org.apache.flink.configuration.Configuration;
|
||||
import org.apache.flink.runtime.operators.coordination.OperatorEventGateway;
|
||||
import org.apache.flink.runtime.state.FunctionInitializationContext;
|
||||
import org.apache.flink.runtime.state.FunctionSnapshotContext;
|
||||
import org.apache.flink.streaming.api.checkpoint.CheckpointedFunction;
|
||||
import org.apache.flink.streaming.api.functions.KeyedProcessFunction;
|
||||
import org.apache.flink.table.types.logical.RowType;
|
||||
import org.apache.flink.util.Collector;
|
||||
import org.apache.flink.util.Preconditions;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Collections;
|
||||
import java.util.List;
|
||||
import java.util.concurrent.locks.Condition;
|
||||
import java.util.concurrent.locks.ReentrantLock;
|
||||
import java.util.function.BiFunction;
|
||||
|
||||
/**
|
||||
* Sink function to write the data to the underneath filesystem.
|
||||
*
|
||||
* <p><h2>Work Flow</h2>
|
||||
*
|
||||
* <p>The function firstly buffers the data as a batch of {@link HoodieRecord}s,
|
||||
* It flushes(write) the records batch when a Flink checkpoint starts. After a batch has been written successfully,
|
||||
* the function notifies its operator coordinator {@link StreamWriteOperatorCoordinator} to mark a successful write.
|
||||
*
|
||||
* <p><h2>Exactly-once Semantics</h2>
|
||||
*
|
||||
* <p>The task implements exactly-once semantics by buffering the data between checkpoints. The operator coordinator
|
||||
* starts a new instant on the time line when a checkpoint triggers, the coordinator checkpoints always
|
||||
* start before its operator, so when this function starts a checkpoint, a REQUESTED instant already exists.
|
||||
* The function process thread then block data buffering and the checkpoint thread starts flushing the existing data buffer.
|
||||
* When the existing data buffer write successfully, the process thread unblock and start buffering again for the next round checkpoint.
|
||||
* Because any checkpoint failures would trigger the write rollback, it implements the exactly-once semantics.
|
||||
*
|
||||
* <p><h2>Fault Tolerance</h2>
|
||||
*
|
||||
* <p>The operator coordinator checks the validity for the last instant when it starts a new one. The operator rolls back
|
||||
* the written data and throws when any error occurs. This means any checkpoint or task failure would trigger a failover.
|
||||
* The operator coordinator would try several times when committing the writestatus.
|
||||
*
|
||||
* <p>Note: The function task requires the input stream be partitioned by the partition fields to avoid different write tasks
|
||||
* write to the same file group that conflict. The general case for partition path is a datetime field,
|
||||
* so the sink task is very possible to have IO bottleneck, the more flexible solution is to shuffle the
|
||||
* data by the file group IDs.
|
||||
*
|
||||
* @param <I> Type of the input record
|
||||
* @see StreamWriteOperatorCoordinator
|
||||
*/
|
||||
public class StreamWriteFunction<K, I, O> extends KeyedProcessFunction<K, I, O> implements CheckpointedFunction {
|
||||
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
private static final Logger LOG = LoggerFactory.getLogger(StreamWriteFunction.class);
|
||||
|
||||
/**
|
||||
* Write buffer for a checkpoint.
|
||||
*/
|
||||
private transient List<HoodieRecord> buffer;
|
||||
|
||||
/**
|
||||
* The buffer lock to control data buffering/flushing.
|
||||
*/
|
||||
private transient ReentrantLock bufferLock;
|
||||
|
||||
/**
|
||||
* The condition to decide whether to add new records into the buffer.
|
||||
*/
|
||||
private transient Condition addToBufferCondition;
|
||||
|
||||
/**
|
||||
* Flag saying whether there is an on-going checkpoint.
|
||||
*/
|
||||
private volatile boolean onCheckpointing = false;
|
||||
|
||||
/**
|
||||
* Config options.
|
||||
*/
|
||||
private final Configuration config;
|
||||
|
||||
/**
|
||||
* Id of current subtask.
|
||||
*/
|
||||
private int taskID;
|
||||
|
||||
/**
|
||||
* Write Client.
|
||||
*/
|
||||
private transient HoodieFlinkWriteClient writeClient;
|
||||
|
||||
private transient BiFunction<List<HoodieRecord>, String, List<WriteStatus>> writeFunction;
|
||||
|
||||
/**
|
||||
* HoodieKey generator.
|
||||
*/
|
||||
private transient KeyGenerator keyGenerator;
|
||||
|
||||
/**
|
||||
* Row type of the input.
|
||||
*/
|
||||
private final RowType rowType;
|
||||
|
||||
/**
|
||||
* Avro schema of the input.
|
||||
*/
|
||||
private final Schema avroSchema;
|
||||
|
||||
private transient RowDataToAvroConverters.RowDataToAvroConverter converter;
|
||||
|
||||
/**
|
||||
* The REQUESTED instant we write the data.
|
||||
*/
|
||||
private volatile String currentInstant;
|
||||
|
||||
/**
|
||||
* Gateway to send operator events to the operator coordinator.
|
||||
*/
|
||||
private transient OperatorEventGateway eventGateway;
|
||||
|
||||
/**
|
||||
* Constructs a StreamingSinkFunction.
|
||||
*
|
||||
* @param rowType The input row type
|
||||
* @param config The config options
|
||||
*/
|
||||
public StreamWriteFunction(RowType rowType, Configuration config) {
|
||||
this.rowType = rowType;
|
||||
this.avroSchema = StreamerUtil.getSourceSchema(config);
|
||||
this.config = config;
|
||||
}
|
||||
|
||||
@Override
|
||||
public void open(Configuration parameters) throws IOException {
|
||||
this.taskID = getRuntimeContext().getIndexOfThisSubtask();
|
||||
this.keyGenerator = StreamerUtil.createKeyGenerator(FlinkOptions.flatOptions(this.config));
|
||||
this.converter = RowDataToAvroConverters.createConverter(this.rowType);
|
||||
initBuffer();
|
||||
initWriteClient();
|
||||
initWriteFunction();
|
||||
}
|
||||
|
||||
@Override
|
||||
public void initializeState(FunctionInitializationContext context) {
|
||||
// no operation
|
||||
}
|
||||
|
||||
@Override
|
||||
public void snapshotState(FunctionSnapshotContext functionSnapshotContext) {
|
||||
bufferLock.lock();
|
||||
try {
|
||||
// Based on the fact that the coordinator starts the checkpoint first,
|
||||
// it would check the validity.
|
||||
this.onCheckpointing = true;
|
||||
this.currentInstant = this.writeClient.getInflightAndRequestedInstant(this.config.get(FlinkOptions.TABLE_TYPE));
|
||||
Preconditions.checkNotNull(this.currentInstant,
|
||||
"No inflight instant when flushing data");
|
||||
// wait for the buffer data flush out and request a new instant
|
||||
flushBuffer();
|
||||
// signal the task thread to start buffering
|
||||
addToBufferCondition.signal();
|
||||
} finally {
|
||||
this.onCheckpointing = false;
|
||||
bufferLock.unlock();
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public void processElement(I value, KeyedProcessFunction<K, I, O>.Context ctx, Collector<O> out) throws Exception {
|
||||
bufferLock.lock();
|
||||
try {
|
||||
if (onCheckpointing) {
|
||||
addToBufferCondition.await();
|
||||
}
|
||||
this.buffer.add(toHoodieRecord(value));
|
||||
} finally {
|
||||
bufferLock.unlock();
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public void close() {
|
||||
if (this.writeClient != null) {
|
||||
this.writeClient.close();
|
||||
}
|
||||
}
|
||||
|
||||
// -------------------------------------------------------------------------
|
||||
// Getter/Setter
|
||||
// -------------------------------------------------------------------------
|
||||
|
||||
@VisibleForTesting
|
||||
@SuppressWarnings("rawtypes")
|
||||
public List<HoodieRecord> getBuffer() {
|
||||
return buffer;
|
||||
}
|
||||
|
||||
@VisibleForTesting
|
||||
@SuppressWarnings("rawtypes")
|
||||
public HoodieFlinkWriteClient getWriteClient() {
|
||||
return writeClient;
|
||||
}
|
||||
|
||||
public void setOperatorEventGateway(OperatorEventGateway operatorEventGateway) {
|
||||
this.eventGateway = operatorEventGateway;
|
||||
}
|
||||
|
||||
// -------------------------------------------------------------------------
|
||||
// Utilities
|
||||
// -------------------------------------------------------------------------
|
||||
|
||||
private void initBuffer() {
|
||||
this.buffer = new ArrayList<>();
|
||||
this.bufferLock = new ReentrantLock();
|
||||
this.addToBufferCondition = this.bufferLock.newCondition();
|
||||
}
|
||||
|
||||
private void initWriteClient() {
|
||||
HoodieFlinkEngineContext context =
|
||||
new HoodieFlinkEngineContext(
|
||||
new SerializableConfiguration(StreamerUtil.getHadoopConf()),
|
||||
new FlinkTaskContextSupplier(getRuntimeContext()));
|
||||
|
||||
writeClient = new HoodieFlinkWriteClient<>(context, StreamerUtil.getHoodieClientConfig(this.config));
|
||||
}
|
||||
|
||||
private void initWriteFunction() {
|
||||
final String writeOperation = this.config.get(FlinkOptions.OPERATION);
|
||||
switch (WriteOperationType.fromValue(writeOperation)) {
|
||||
case INSERT:
|
||||
this.writeFunction = (records, instantTime) -> this.writeClient.insert(records, instantTime);
|
||||
break;
|
||||
case UPSERT:
|
||||
this.writeFunction = (records, instantTime) -> this.writeClient.upsert(records, instantTime);
|
||||
break;
|
||||
default:
|
||||
throw new RuntimeException("Unsupported write operation : " + writeOperation);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Converts the give record to a {@link HoodieRecord}.
|
||||
*
|
||||
* @param record The input record
|
||||
* @return HoodieRecord based on the configuration
|
||||
* @throws IOException if error occurs
|
||||
*/
|
||||
@SuppressWarnings("rawtypes")
|
||||
private HoodieRecord toHoodieRecord(I record) throws IOException {
|
||||
boolean shouldCombine = this.config.getBoolean(FlinkOptions.INSERT_DROP_DUPS)
|
||||
|| WriteOperationType.fromValue(this.config.getString(FlinkOptions.OPERATION)) == WriteOperationType.UPSERT;
|
||||
GenericRecord gr = (GenericRecord) this.converter.convert(this.avroSchema, record);
|
||||
final String payloadClazz = this.config.getString(FlinkOptions.PAYLOAD_CLASS);
|
||||
Comparable orderingVal = (Comparable) HoodieAvroUtils.getNestedFieldVal(gr,
|
||||
this.config.getString(FlinkOptions.PRECOMBINE_FIELD), false);
|
||||
HoodieRecordPayload payload = shouldCombine
|
||||
? StreamerUtil.createPayload(payloadClazz, gr, orderingVal)
|
||||
: StreamerUtil.createPayload(payloadClazz, gr);
|
||||
return new HoodieRecord<>(keyGenerator.getKey(gr), payload);
|
||||
}
|
||||
|
||||
private void flushBuffer() {
|
||||
final List<WriteStatus> writeStatus;
|
||||
if (buffer.size() > 0) {
|
||||
writeStatus = writeFunction.apply(buffer, currentInstant);
|
||||
buffer.clear();
|
||||
} else {
|
||||
LOG.info("No data to write in subtask [{}] for instant [{}]", taskID, currentInstant);
|
||||
writeStatus = Collections.emptyList();
|
||||
}
|
||||
this.eventGateway.sendEventToCoordinator(new BatchWriteSuccessEvent(this.taskID, currentInstant, writeStatus));
|
||||
this.currentInstant = "";
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,52 @@
|
||||
/*
|
||||
* 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.operator;
|
||||
|
||||
import org.apache.flink.configuration.Configuration;
|
||||
import org.apache.flink.runtime.operators.coordination.OperatorEvent;
|
||||
import org.apache.flink.runtime.operators.coordination.OperatorEventGateway;
|
||||
import org.apache.flink.runtime.operators.coordination.OperatorEventHandler;
|
||||
import org.apache.flink.streaming.api.operators.KeyedProcessOperator;
|
||||
import org.apache.flink.streaming.api.operators.StreamSink;
|
||||
import org.apache.flink.table.types.logical.RowType;
|
||||
|
||||
/**
|
||||
* Operator for {@link StreamSink}.
|
||||
*
|
||||
* @param <I> The input type
|
||||
*/
|
||||
public class StreamWriteOperator<I>
|
||||
extends KeyedProcessOperator<Object, I, Object>
|
||||
implements OperatorEventHandler {
|
||||
private final StreamWriteFunction<Object, I, Object> sinkFunction;
|
||||
|
||||
public StreamWriteOperator(RowType rowType, Configuration conf) {
|
||||
super(new StreamWriteFunction<>(rowType, conf));
|
||||
this.sinkFunction = (StreamWriteFunction<Object, I, Object>) getUserFunction();
|
||||
}
|
||||
|
||||
@Override
|
||||
public void handleOperatorEvent(OperatorEvent operatorEvent) {
|
||||
// do nothing
|
||||
}
|
||||
|
||||
void setOperatorEventGateway(OperatorEventGateway operatorEventGateway) {
|
||||
sinkFunction.setOperatorEventGateway(operatorEventGateway);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,419 @@
|
||||
/*
|
||||
* 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.operator;
|
||||
|
||||
import org.apache.hudi.client.FlinkTaskContextSupplier;
|
||||
import org.apache.hudi.client.HoodieFlinkWriteClient;
|
||||
import org.apache.hudi.client.WriteStatus;
|
||||
import org.apache.hudi.client.common.HoodieFlinkEngineContext;
|
||||
import org.apache.hudi.common.fs.FSUtils;
|
||||
import org.apache.hudi.common.model.HoodieTableType;
|
||||
import org.apache.hudi.common.table.HoodieTableMetaClient;
|
||||
import org.apache.hudi.common.util.Option;
|
||||
import org.apache.hudi.exception.HoodieException;
|
||||
import org.apache.hudi.operator.event.BatchWriteSuccessEvent;
|
||||
import org.apache.hudi.util.StreamerUtil;
|
||||
|
||||
import org.apache.flink.annotation.VisibleForTesting;
|
||||
import org.apache.flink.configuration.Configuration;
|
||||
import org.apache.flink.core.memory.DataInputViewStreamWrapper;
|
||||
import org.apache.flink.core.memory.DataOutputViewStreamWrapper;
|
||||
import org.apache.flink.runtime.jobgraph.OperatorID;
|
||||
import org.apache.flink.runtime.operators.coordination.OperatorCoordinator;
|
||||
import org.apache.flink.runtime.operators.coordination.OperatorEvent;
|
||||
import org.apache.flink.util.Preconditions;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
import org.jetbrains.annotations.Nullable;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import java.io.ByteArrayInputStream;
|
||||
import java.io.ByteArrayOutputStream;
|
||||
import java.io.DataInputStream;
|
||||
import java.io.DataOutputStream;
|
||||
import java.io.IOException;
|
||||
import java.util.Arrays;
|
||||
import java.util.Collection;
|
||||
import java.util.HashMap;
|
||||
import java.util.List;
|
||||
import java.util.Objects;
|
||||
import java.util.concurrent.CompletableFuture;
|
||||
import java.util.concurrent.CompletionException;
|
||||
import java.util.concurrent.TimeUnit;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
/**
|
||||
* {@link OperatorCoordinator} for {@link StreamWriteFunction}.
|
||||
*
|
||||
* <p>This coordinator starts a new instant when a new checkpoint starts. It commits the instant when all the
|
||||
* operator tasks write the buffer successfully for a round of checkpoint.
|
||||
*
|
||||
* <p>If there is no data for a round of checkpointing, it rolls back the metadata.
|
||||
*
|
||||
* @see StreamWriteFunction for the work flow and semantics
|
||||
*/
|
||||
public class StreamWriteOperatorCoordinator
|
||||
implements OperatorCoordinator {
|
||||
private static final Logger LOG = LoggerFactory.getLogger(StreamWriteOperatorCoordinator.class);
|
||||
|
||||
/**
|
||||
* Config options.
|
||||
*/
|
||||
private final Configuration conf;
|
||||
|
||||
/**
|
||||
* Write client.
|
||||
*/
|
||||
private transient HoodieFlinkWriteClient writeClient;
|
||||
|
||||
private long inFlightCheckpoint = -1;
|
||||
|
||||
/**
|
||||
* Current REQUESTED instant, for validation.
|
||||
*/
|
||||
private String inFlightInstant = "";
|
||||
|
||||
/**
|
||||
* Event buffer for one round of checkpointing. When all the elements are non-null and have the same
|
||||
* write instant, then the instant succeed and we can commit it.
|
||||
*/
|
||||
private transient BatchWriteSuccessEvent[] eventBuffer;
|
||||
|
||||
/**
|
||||
* Task number of the operator.
|
||||
*/
|
||||
private final int parallelism;
|
||||
|
||||
/**
|
||||
* Constructs a StreamingSinkOperatorCoordinator.
|
||||
*
|
||||
* @param conf The config options
|
||||
* @param parallelism The operator task number
|
||||
*/
|
||||
public StreamWriteOperatorCoordinator(
|
||||
Configuration conf,
|
||||
int parallelism) {
|
||||
this.conf = conf;
|
||||
this.parallelism = parallelism;
|
||||
}
|
||||
|
||||
@Override
|
||||
public void start() throws Exception {
|
||||
// initialize event buffer
|
||||
reset();
|
||||
// writeClient
|
||||
initWriteClient();
|
||||
// init table, create it if not exists.
|
||||
initTable();
|
||||
}
|
||||
|
||||
@Override
|
||||
public void close() {
|
||||
if (writeClient != null) {
|
||||
writeClient.close();
|
||||
}
|
||||
this.eventBuffer = null;
|
||||
}
|
||||
|
||||
@Override
|
||||
public void checkpointCoordinator(long checkpointId, CompletableFuture<byte[]> result) {
|
||||
try {
|
||||
final String errMsg = "A new checkpoint starts while the last checkpoint buffer"
|
||||
+ " data has not finish writing, roll back the last write and throw";
|
||||
checkAndForceCommit(errMsg);
|
||||
this.inFlightInstant = this.writeClient.startCommit();
|
||||
this.inFlightCheckpoint = checkpointId;
|
||||
LOG.info("Create instant [{}], at checkpoint [{}]", this.inFlightInstant, checkpointId);
|
||||
result.complete(writeCheckpointBytes());
|
||||
} catch (Throwable throwable) {
|
||||
// when a checkpoint fails, throws directly.
|
||||
result.completeExceptionally(
|
||||
new CompletionException(
|
||||
String.format("Failed to checkpoint Instant %s for source %s",
|
||||
this.inFlightInstant, this.getClass().getSimpleName()), throwable));
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public void checkpointComplete(long checkpointId) {
|
||||
// start to commit the instant.
|
||||
checkAndCommitWithRetry();
|
||||
}
|
||||
|
||||
public void notifyCheckpointAborted(long checkpointId) {
|
||||
Preconditions.checkState(inFlightCheckpoint == checkpointId,
|
||||
"The aborted checkpoint should always be the last checkpoint");
|
||||
checkAndForceCommit("The last checkpoint was aborted, roll back the last write and throw");
|
||||
}
|
||||
|
||||
@Override
|
||||
public void resetToCheckpoint(@Nullable byte[] checkpointData) throws Exception {
|
||||
if (checkpointData != null) {
|
||||
// restore when any checkpoint completed
|
||||
deserializeCheckpointAndRestore(checkpointData);
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public void handleEventFromOperator(int i, OperatorEvent operatorEvent) {
|
||||
// no event to handle
|
||||
Preconditions.checkState(operatorEvent instanceof BatchWriteSuccessEvent,
|
||||
"The coordinator can only handle BatchWriteSuccessEvent");
|
||||
BatchWriteSuccessEvent event = (BatchWriteSuccessEvent) operatorEvent;
|
||||
Preconditions.checkState(event.getInstantTime().equals(this.inFlightInstant),
|
||||
String.format("Receive an unexpected event for instant %s from task %d",
|
||||
event.getInstantTime(), event.getTaskID()));
|
||||
this.eventBuffer[event.getTaskID()] = event;
|
||||
}
|
||||
|
||||
@Override
|
||||
public void subtaskFailed(int i, @Nullable Throwable throwable) {
|
||||
// no operation
|
||||
}
|
||||
|
||||
// -------------------------------------------------------------------------
|
||||
// Utilities
|
||||
// -------------------------------------------------------------------------
|
||||
|
||||
@SuppressWarnings("rawtypes")
|
||||
private void initWriteClient() {
|
||||
writeClient = new HoodieFlinkWriteClient(
|
||||
new HoodieFlinkEngineContext(new FlinkTaskContextSupplier(null)),
|
||||
StreamerUtil.getHoodieClientConfig(this.conf),
|
||||
true);
|
||||
}
|
||||
|
||||
private void initTable() throws IOException {
|
||||
final String basePath = this.conf.getString(FlinkOptions.PATH);
|
||||
final org.apache.hadoop.conf.Configuration hadoopConf = StreamerUtil.getHadoopConf();
|
||||
// Hadoop FileSystem
|
||||
try (FileSystem fs = FSUtils.getFs(basePath, hadoopConf)) {
|
||||
if (!fs.exists(new Path(basePath, HoodieTableMetaClient.METAFOLDER_NAME))) {
|
||||
HoodieTableMetaClient.initTableType(
|
||||
hadoopConf,
|
||||
basePath,
|
||||
HoodieTableType.valueOf(this.conf.getString(FlinkOptions.TABLE_TYPE)),
|
||||
this.conf.getString(FlinkOptions.TABLE_NAME),
|
||||
"archived",
|
||||
this.conf.getString(FlinkOptions.PAYLOAD_CLASS),
|
||||
1);
|
||||
LOG.info("Table initialized");
|
||||
} else {
|
||||
LOG.info("Table [{}/{}] already exists, no need to initialize the table",
|
||||
basePath, this.conf.getString(FlinkOptions.TABLE_NAME));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
static byte[] readBytes(DataInputStream in, int size) throws IOException {
|
||||
byte[] bytes = new byte[size];
|
||||
in.readFully(bytes);
|
||||
return bytes;
|
||||
}
|
||||
|
||||
/**
|
||||
* Serialize the coordinator state. The current implementation may not be super efficient,
|
||||
* but it should not matter that much because most of the state should be rather small.
|
||||
* Large states themselves may already be a problem regardless of how the serialization
|
||||
* is implemented.
|
||||
*
|
||||
* @return A byte array containing the serialized state of the source coordinator.
|
||||
* @throws IOException When something goes wrong in serialization.
|
||||
*/
|
||||
private byte[] writeCheckpointBytes() throws IOException {
|
||||
try (ByteArrayOutputStream baos = new ByteArrayOutputStream();
|
||||
DataOutputStream out = new DataOutputViewStreamWrapper(baos)) {
|
||||
|
||||
out.writeLong(this.inFlightCheckpoint);
|
||||
byte[] serializedInstant = this.inFlightInstant.getBytes();
|
||||
out.writeInt(serializedInstant.length);
|
||||
out.write(serializedInstant);
|
||||
out.flush();
|
||||
return baos.toByteArray();
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Restore the state of this source coordinator from the state bytes.
|
||||
*
|
||||
* @param bytes The checkpoint bytes that was returned from {@link #writeCheckpointBytes()}
|
||||
* @throws Exception When the deserialization failed.
|
||||
*/
|
||||
private void deserializeCheckpointAndRestore(byte[] bytes) throws Exception {
|
||||
try (ByteArrayInputStream bais = new ByteArrayInputStream(bytes);
|
||||
DataInputStream in = new DataInputViewStreamWrapper(bais)) {
|
||||
long checkpointID = in.readLong();
|
||||
int serializedInstantSize = in.readInt();
|
||||
byte[] serializedInstant = readBytes(in, serializedInstantSize);
|
||||
this.inFlightCheckpoint = checkpointID;
|
||||
this.inFlightInstant = new String(serializedInstant);
|
||||
}
|
||||
}
|
||||
|
||||
private void reset() {
|
||||
this.inFlightInstant = "";
|
||||
this.eventBuffer = new BatchWriteSuccessEvent[this.parallelism];
|
||||
}
|
||||
|
||||
private void checkAndForceCommit(String errMsg) {
|
||||
if (!checkReady()) {
|
||||
// forced but still has inflight instant
|
||||
String inflightInstant = writeClient.getInflightAndRequestedInstant(this.conf.getString(FlinkOptions.TABLE_TYPE));
|
||||
if (inflightInstant != null) {
|
||||
assert inflightInstant.equals(this.inFlightInstant);
|
||||
writeClient.rollback(this.inFlightInstant);
|
||||
throw new HoodieException(errMsg);
|
||||
}
|
||||
if (Arrays.stream(eventBuffer).allMatch(Objects::isNull)) {
|
||||
// The last checkpoint finished successfully.
|
||||
return;
|
||||
}
|
||||
}
|
||||
doCommit();
|
||||
}
|
||||
|
||||
private void checkAndCommitWithRetry() {
|
||||
int retryTimes = this.conf.getInteger(FlinkOptions.RETRY_TIMES);
|
||||
if (retryTimes < 0) {
|
||||
retryTimes = 1;
|
||||
}
|
||||
long retryIntervalMillis = this.conf.getLong(FlinkOptions.RETRY_INTERVAL_MS);
|
||||
int tryTimes = 0;
|
||||
while (tryTimes++ < retryTimes) {
|
||||
try {
|
||||
if (!checkReady()) {
|
||||
// Do not throw if the try times expires but the event buffer are still not ready,
|
||||
// because we have a force check when next checkpoint starts.
|
||||
sleepFor(retryIntervalMillis);
|
||||
continue;
|
||||
}
|
||||
doCommit();
|
||||
return;
|
||||
} catch (Throwable throwable) {
|
||||
String cause = throwable.getCause() == null ? "" : throwable.getCause().toString();
|
||||
LOG.warn("Try to commit the instant {} failed, with times {} and cause {}", this.inFlightInstant, tryTimes, cause);
|
||||
if (tryTimes == retryTimes) {
|
||||
throw new HoodieException(throwable);
|
||||
}
|
||||
sleepFor(retryIntervalMillis);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Sleep {@code intervalMillis} milliseconds in current thread.
|
||||
*/
|
||||
private void sleepFor(long intervalMillis) {
|
||||
try {
|
||||
TimeUnit.MILLISECONDS.sleep(intervalMillis);
|
||||
} catch (InterruptedException e) {
|
||||
LOG.error("Thread interrupted while waiting to retry the instant commits");
|
||||
throw new HoodieException(e);
|
||||
}
|
||||
}
|
||||
|
||||
/** Checks the buffer is ready to commit. */
|
||||
private boolean checkReady() {
|
||||
return Arrays.stream(eventBuffer).allMatch(event ->
|
||||
event != null && event.getInstantTime().equals(this.inFlightInstant));
|
||||
}
|
||||
|
||||
/** Performs the actual commit action. */
|
||||
private void doCommit() {
|
||||
List<WriteStatus> writeResults = Arrays.stream(eventBuffer)
|
||||
.map(BatchWriteSuccessEvent::getWriteStatuses)
|
||||
.flatMap(Collection::stream)
|
||||
.collect(Collectors.toList());
|
||||
|
||||
if (writeResults.size() == 0) {
|
||||
// No data has written, clear the metadata file
|
||||
this.writeClient.deletePendingInstant(this.conf.getString(FlinkOptions.TABLE_TYPE), this.inFlightInstant);
|
||||
reset();
|
||||
return;
|
||||
}
|
||||
|
||||
// commit or rollback
|
||||
long totalErrorRecords = writeResults.stream().map(WriteStatus::getTotalErrorRecords).reduce(Long::sum).orElse(0L);
|
||||
long totalRecords = writeResults.stream().map(WriteStatus::getTotalRecords).reduce(Long::sum).orElse(0L);
|
||||
boolean hasErrors = totalErrorRecords > 0;
|
||||
|
||||
if (!hasErrors || this.conf.getBoolean(FlinkOptions.IGNORE_FAILED)) {
|
||||
HashMap<String, String> checkpointCommitMetadata = new HashMap<>();
|
||||
if (hasErrors) {
|
||||
LOG.warn("Some records failed to merge but forcing commit since commitOnErrors set to true. Errors/Total="
|
||||
+ totalErrorRecords + "/" + totalRecords);
|
||||
}
|
||||
|
||||
boolean success = writeClient.commit(this.inFlightInstant, writeResults, Option.of(checkpointCommitMetadata));
|
||||
if (success) {
|
||||
reset();
|
||||
LOG.info("Commit instant [{}] success!", this.inFlightInstant);
|
||||
} else {
|
||||
throw new HoodieException(String.format("Commit instant [%s] failed!", this.inFlightInstant));
|
||||
}
|
||||
} else {
|
||||
LOG.error("Error when writing. Errors/Total=" + totalErrorRecords + "/" + totalRecords);
|
||||
LOG.error("The first 100 error messages");
|
||||
writeResults.stream().filter(WriteStatus::hasErrors).limit(100).forEach(ws -> {
|
||||
LOG.error("Global error for partition path {} and fileID {}: {}",
|
||||
ws.getGlobalError(), ws.getPartitionPath(), ws.getFileId());
|
||||
if (ws.getErrors().size() > 0) {
|
||||
ws.getErrors().forEach((key, value) -> LOG.trace("Error for key:" + key + " and value " + value));
|
||||
}
|
||||
});
|
||||
// Rolls back instant
|
||||
writeClient.rollback(this.inFlightInstant);
|
||||
throw new HoodieException(String.format("Commit instant [%s] failed and rolled back !", this.inFlightInstant));
|
||||
}
|
||||
}
|
||||
|
||||
@VisibleForTesting
|
||||
public BatchWriteSuccessEvent[] getEventBuffer() {
|
||||
return eventBuffer;
|
||||
}
|
||||
|
||||
@VisibleForTesting
|
||||
public String getInFlightInstant() {
|
||||
return inFlightInstant;
|
||||
}
|
||||
|
||||
/**
|
||||
* Provider for {@link StreamWriteOperatorCoordinator}.
|
||||
*/
|
||||
public static class Provider implements OperatorCoordinator.Provider {
|
||||
private final OperatorID operatorId;
|
||||
private final Configuration conf;
|
||||
private final int numTasks;
|
||||
|
||||
public Provider(OperatorID operatorId, Configuration conf, int numTasks) {
|
||||
this.operatorId = operatorId;
|
||||
this.conf = conf;
|
||||
this.numTasks = numTasks;
|
||||
}
|
||||
|
||||
public OperatorID getOperatorId() {
|
||||
return this.operatorId;
|
||||
}
|
||||
|
||||
public OperatorCoordinator create(Context context) {
|
||||
return new StreamWriteOperatorCoordinator(this.conf, this.numTasks);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,77 @@
|
||||
/*
|
||||
* 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.operator;
|
||||
|
||||
import org.apache.flink.configuration.Configuration;
|
||||
import org.apache.flink.runtime.jobgraph.OperatorID;
|
||||
import org.apache.flink.runtime.operators.coordination.OperatorCoordinator;
|
||||
import org.apache.flink.runtime.operators.coordination.OperatorEventDispatcher;
|
||||
import org.apache.flink.streaming.api.operators.CoordinatedOperatorFactory;
|
||||
import org.apache.flink.streaming.api.operators.OneInputStreamOperatorFactory;
|
||||
import org.apache.flink.streaming.api.operators.SimpleUdfStreamOperatorFactory;
|
||||
import org.apache.flink.streaming.api.operators.StreamOperator;
|
||||
import org.apache.flink.streaming.api.operators.StreamOperatorParameters;
|
||||
import org.apache.flink.streaming.runtime.tasks.ProcessingTimeService;
|
||||
import org.apache.flink.table.types.logical.RowType;
|
||||
|
||||
/**
|
||||
* Factory class for {@link StreamWriteOperator}.
|
||||
*/
|
||||
public class StreamWriteOperatorFactory<I>
|
||||
extends SimpleUdfStreamOperatorFactory<Object>
|
||||
implements CoordinatedOperatorFactory<Object>, OneInputStreamOperatorFactory<I, Object> {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
private final StreamWriteOperator<I> operator;
|
||||
private final Configuration conf;
|
||||
private final int numTasks;
|
||||
|
||||
public StreamWriteOperatorFactory(
|
||||
RowType rowType,
|
||||
Configuration conf,
|
||||
int numTasks) {
|
||||
super(new StreamWriteOperator<>(rowType, conf));
|
||||
this.operator = (StreamWriteOperator<I>) getOperator();
|
||||
this.conf = conf;
|
||||
this.numTasks = numTasks;
|
||||
}
|
||||
|
||||
@Override
|
||||
@SuppressWarnings("unchecked")
|
||||
public <T extends StreamOperator<Object>> T createStreamOperator(StreamOperatorParameters<Object> parameters) {
|
||||
final OperatorID operatorID = parameters.getStreamConfig().getOperatorID();
|
||||
final OperatorEventDispatcher eventDispatcher = parameters.getOperatorEventDispatcher();
|
||||
|
||||
this.operator.setOperatorEventGateway(eventDispatcher.getOperatorEventGateway(operatorID));
|
||||
this.operator.setup(parameters.getContainingTask(), parameters.getStreamConfig(), parameters.getOutput());
|
||||
this.operator.setProcessingTimeService(this.processingTimeService);
|
||||
eventDispatcher.registerEventHandler(operatorID, operator);
|
||||
return (T) operator;
|
||||
}
|
||||
|
||||
@Override
|
||||
public OperatorCoordinator.Provider getCoordinatorProvider(String s, OperatorID operatorID) {
|
||||
return new StreamWriteOperatorCoordinator.Provider(operatorID, this.conf, this.numTasks);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void setProcessingTimeService(ProcessingTimeService processingTimeService) {
|
||||
super.setProcessingTimeService(processingTimeService);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,57 @@
|
||||
/*
|
||||
* 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.operator.event;
|
||||
|
||||
import org.apache.flink.runtime.operators.coordination.OperatorEvent;
|
||||
|
||||
import org.apache.hudi.client.WriteStatus;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* An operator event to mark successful checkpoint batch write.
|
||||
*/
|
||||
public class BatchWriteSuccessEvent implements OperatorEvent {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
private final List<WriteStatus> writeStatuses;
|
||||
private final int taskID;
|
||||
private final String instantTime;
|
||||
|
||||
public BatchWriteSuccessEvent(
|
||||
int taskID,
|
||||
String instantTime,
|
||||
List<WriteStatus> writeStatuses) {
|
||||
this.taskID = taskID;
|
||||
this.instantTime = instantTime;
|
||||
this.writeStatuses = writeStatuses;
|
||||
}
|
||||
|
||||
public List<WriteStatus> getWriteStatuses() {
|
||||
return writeStatuses;
|
||||
}
|
||||
|
||||
public int getTaskID() {
|
||||
return taskID;
|
||||
}
|
||||
|
||||
public String getInstantTime() {
|
||||
return instantTime;
|
||||
}
|
||||
}
|
||||
@@ -21,9 +21,11 @@ package org.apache.hudi.schema;
|
||||
import org.apache.hudi.common.config.TypedProperties;
|
||||
import org.apache.hudi.common.fs.FSUtils;
|
||||
import org.apache.hudi.exception.HoodieIOException;
|
||||
import org.apache.hudi.operator.FlinkOptions;
|
||||
import org.apache.hudi.util.StreamerUtil;
|
||||
|
||||
import org.apache.avro.Schema;
|
||||
import org.apache.flink.configuration.Configuration;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
|
||||
@@ -43,16 +45,13 @@ public class FilebasedSchemaProvider extends SchemaProvider {
|
||||
private static final String TARGET_SCHEMA_FILE_PROP = "hoodie.deltastreamer.schemaprovider.target.schema.file";
|
||||
}
|
||||
|
||||
private final FileSystem fs;
|
||||
|
||||
private final Schema sourceSchema;
|
||||
|
||||
private Schema targetSchema;
|
||||
|
||||
public FilebasedSchemaProvider(TypedProperties props) {
|
||||
super(props);
|
||||
StreamerUtil.checkRequiredProperties(props, Collections.singletonList(Config.SOURCE_SCHEMA_FILE_PROP));
|
||||
this.fs = FSUtils.getFs(props.getString(Config.SOURCE_SCHEMA_FILE_PROP), StreamerUtil.getHadoopConf());
|
||||
FileSystem fs = FSUtils.getFs(props.getString(Config.SOURCE_SCHEMA_FILE_PROP), StreamerUtil.getHadoopConf());
|
||||
try {
|
||||
this.sourceSchema = new Schema.Parser().parse(fs.open(new Path(props.getString(Config.SOURCE_SCHEMA_FILE_PROP))));
|
||||
if (props.containsKey(Config.TARGET_SCHEMA_FILE_PROP)) {
|
||||
@@ -64,6 +63,16 @@ public class FilebasedSchemaProvider extends SchemaProvider {
|
||||
}
|
||||
}
|
||||
|
||||
public FilebasedSchemaProvider(Configuration conf) {
|
||||
final String readSchemaPath = conf.getString(FlinkOptions.READ_SCHEMA_FILE_PATH);
|
||||
final FileSystem fs = FSUtils.getFs(readSchemaPath, StreamerUtil.getHadoopConf());
|
||||
try {
|
||||
this.sourceSchema = new Schema.Parser().parse(fs.open(new Path(readSchemaPath)));
|
||||
} catch (IOException ioe) {
|
||||
throw new HoodieIOException("Error reading schema", ioe);
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public Schema getSourceSchema() {
|
||||
return sourceSchema;
|
||||
|
||||
@@ -18,8 +18,6 @@
|
||||
|
||||
package org.apache.hudi.schema;
|
||||
|
||||
import org.apache.hudi.common.config.TypedProperties;
|
||||
|
||||
import org.apache.avro.Schema;
|
||||
|
||||
import java.io.Serializable;
|
||||
@@ -29,12 +27,6 @@ import java.io.Serializable;
|
||||
*/
|
||||
public abstract class SchemaProvider implements Serializable {
|
||||
|
||||
protected TypedProperties config;
|
||||
|
||||
protected SchemaProvider(TypedProperties props) {
|
||||
this.config = props;
|
||||
}
|
||||
|
||||
public abstract Schema getSourceSchema();
|
||||
|
||||
public Schema getTargetSchema() {
|
||||
|
||||
@@ -25,7 +25,7 @@ import org.apache.hudi.client.common.HoodieFlinkEngineContext;
|
||||
import org.apache.hudi.common.util.Option;
|
||||
import org.apache.hudi.exception.HoodieException;
|
||||
import org.apache.hudi.exception.HoodieFlinkStreamerException;
|
||||
import org.apache.hudi.HoodieFlinkStreamer;
|
||||
import org.apache.hudi.streamer.FlinkStreamerConfig;
|
||||
import org.apache.hudi.util.StreamerUtil;
|
||||
|
||||
import org.apache.flink.api.java.tuple.Tuple3;
|
||||
@@ -51,7 +51,7 @@ public class CommitSink extends RichSinkFunction<Tuple3<String, List<WriteStatus
|
||||
/**
|
||||
* Job conf.
|
||||
*/
|
||||
private HoodieFlinkStreamer.Config cfg;
|
||||
private FlinkStreamerConfig cfg;
|
||||
|
||||
/**
|
||||
* Write client.
|
||||
@@ -72,7 +72,7 @@ public class CommitSink extends RichSinkFunction<Tuple3<String, List<WriteStatus
|
||||
public void open(Configuration parameters) throws Exception {
|
||||
super.open(parameters);
|
||||
// Get configs from runtimeContext
|
||||
cfg = (HoodieFlinkStreamer.Config) getRuntimeContext().getExecutionConfig().getGlobalJobParameters();
|
||||
cfg = (FlinkStreamerConfig) getRuntimeContext().getExecutionConfig().getGlobalJobParameters();
|
||||
|
||||
writeParallelSize = getRuntimeContext().getExecutionConfig().getParallelism();
|
||||
|
||||
|
||||
@@ -22,10 +22,10 @@ import org.apache.hudi.avro.HoodieAvroUtils;
|
||||
import org.apache.hudi.common.config.TypedProperties;
|
||||
import org.apache.hudi.common.model.HoodieRecord;
|
||||
import org.apache.hudi.common.model.HoodieRecordPayload;
|
||||
import org.apache.hudi.config.HoodieWriteConfig;
|
||||
import org.apache.hudi.exception.HoodieFlinkStreamerException;
|
||||
import org.apache.hudi.common.model.OverwriteWithLatestAvroPayload;
|
||||
import org.apache.hudi.common.util.Option;
|
||||
import org.apache.hudi.config.HoodieWriteConfig;
|
||||
import org.apache.hudi.exception.HoodieFlinkStreamerException;
|
||||
import org.apache.hudi.keygen.KeyGenerator;
|
||||
import org.apache.hudi.keygen.SimpleAvroKeyGenerator;
|
||||
import org.apache.hudi.schema.FilebasedSchemaProvider;
|
||||
|
||||
@@ -0,0 +1,124 @@
|
||||
/*
|
||||
* 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.model.OverwriteWithLatestAvroPayload;
|
||||
import org.apache.hudi.common.model.WriteOperationType;
|
||||
import org.apache.hudi.keygen.SimpleAvroKeyGenerator;
|
||||
|
||||
import com.beust.jcommander.Parameter;
|
||||
import org.apache.flink.configuration.Configuration;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* Configurations for Hoodie Flink streamer.
|
||||
*/
|
||||
public class FlinkStreamerConfig extends Configuration {
|
||||
@Parameter(names = {"--kafka-topic"}, description = "Kafka topic name.", required = true)
|
||||
public String kafkaTopic;
|
||||
|
||||
@Parameter(names = {"--kafka-group-id"}, description = "Kafka consumer group id.", required = true)
|
||||
public String kafkaGroupId;
|
||||
|
||||
@Parameter(names = {"--kafka-bootstrap-servers"}, description = "Kafka bootstrap.servers.", required = true)
|
||||
public String kafkaBootstrapServers;
|
||||
|
||||
@Parameter(names = {"--flink-checkpoint-path"}, description = "Flink checkpoint path.")
|
||||
public String flinkCheckPointPath;
|
||||
|
||||
@Parameter(names = {"--instant-retry-times"}, description = "Times to retry when latest instant has not completed.")
|
||||
public String instantRetryTimes = "10";
|
||||
|
||||
@Parameter(names = {"--instant-retry-interval"}, description = "Seconds between two tries when latest instant has not completed.")
|
||||
public String instantRetryInterval = "1";
|
||||
|
||||
@Parameter(names = {"--target-base-path"},
|
||||
description = "Base path for the target hoodie table. "
|
||||
+ "(Will be created if did not exist first time around. If exists, expected to be a hoodie table).",
|
||||
required = true)
|
||||
public String targetBasePath;
|
||||
|
||||
@Parameter(names = {"--read-schema-path"},
|
||||
description = "Avro schema file path, the parsed schema is used for deserializing.",
|
||||
required = true)
|
||||
public String readSchemaFilePath;
|
||||
|
||||
@Parameter(names = {"--target-table"}, description = "Name of the target table in Hive.", required = true)
|
||||
public String targetTableName;
|
||||
|
||||
@Parameter(names = {"--table-type"}, description = "Type of table. COPY_ON_WRITE (or) MERGE_ON_READ.", required = true)
|
||||
public String tableType;
|
||||
|
||||
@Parameter(names = {"--props"}, description = "Path to properties file on localfs or dfs, with configurations for "
|
||||
+ "hoodie client, schema provider, key generator and data source. For hoodie client props, sane defaults are "
|
||||
+ "used, but recommend use to provide basic things like metrics endpoints, hive configs etc. For sources, refer"
|
||||
+ "to individual classes, for supported properties.")
|
||||
public String propsFilePath =
|
||||
"file://" + System.getProperty("user.dir") + "/src/test/resources/delta-streamer-config/dfs-source.properties";
|
||||
|
||||
@Parameter(names = {"--hoodie-conf"}, description = "Any configuration that can be set in the properties file "
|
||||
+ "(using the CLI parameter \"--props\") can also be passed command line using this parameter.")
|
||||
public List<String> configs = new ArrayList<>();
|
||||
|
||||
@Parameter(names = {"--record-key-field"}, description = "Record key field. Value to be used as the `recordKey` component of `HoodieKey`.\n"
|
||||
+ "Actual value will be obtained by invoking .toString() on the field value. Nested fields can be specified using "
|
||||
+ "the dot notation eg: `a.b.c`. By default `uuid`.")
|
||||
public String recordKeyField = "uuid";
|
||||
|
||||
@Parameter(names = {"--partition-path-field"}, description = "Partition path field. Value to be used at \n"
|
||||
+ "the `partitionPath` component of `HoodieKey`. Actual value obtained by invoking .toString(). By default `partitionpath`.")
|
||||
public String partitionPathField = "partitionpath";
|
||||
|
||||
@Parameter(names = {"--keygen-class"}, description = "Key generator class, that implements will extract the key out of incoming record.\n"
|
||||
+ "By default `SimpleAvroKeyGenerator`.")
|
||||
public String keygenClass = SimpleAvroKeyGenerator.class.getName();
|
||||
|
||||
@Parameter(names = {"--source-ordering-field"}, description = "Field within source record to decide how"
|
||||
+ " to break ties between records with same key in input data. Default: 'ts' holding unix timestamp of record.")
|
||||
public String sourceOrderingField = "ts";
|
||||
|
||||
@Parameter(names = {"--payload-class"}, description = "Subclass of HoodieRecordPayload, that works off "
|
||||
+ "a GenericRecord. Implement your own, if you want to do something other than overwriting existing value.")
|
||||
public String payloadClassName = OverwriteWithLatestAvroPayload.class.getName();
|
||||
|
||||
@Parameter(names = {"--op"}, description = "Takes one of these values : UPSERT (default), INSERT (use when input "
|
||||
+ "is purely new data/inserts to gain speed).", converter = OperationConverter.class)
|
||||
public WriteOperationType operation = WriteOperationType.UPSERT;
|
||||
|
||||
@Parameter(names = {"--filter-dupes"},
|
||||
description = "Should duplicate records from source be dropped/filtered out before insert/bulk-insert.")
|
||||
public Boolean filterDupes = false;
|
||||
|
||||
@Parameter(names = {"--commit-on-errors"}, description = "Commit even when some records failed to be written.")
|
||||
public Boolean commitOnErrors = false;
|
||||
|
||||
/**
|
||||
* Flink checkpoint interval.
|
||||
*/
|
||||
@Parameter(names = {"--checkpoint-interval"}, description = "Flink checkpoint interval.")
|
||||
public Long checkpointInterval = 1000 * 5L;
|
||||
|
||||
@Parameter(names = {"--help", "-h"}, help = true)
|
||||
public Boolean help = false;
|
||||
|
||||
@Parameter(names = {"--write-task-num"}, description = "Parallelism of tasks that do actual write, default is 4.")
|
||||
public Integer writeTaskNum = 4;
|
||||
}
|
||||
@@ -0,0 +1,105 @@
|
||||
/*
|
||||
* 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.client.WriteStatus;
|
||||
import org.apache.hudi.common.config.TypedProperties;
|
||||
import org.apache.hudi.common.model.HoodieRecord;
|
||||
import org.apache.hudi.config.HoodieWriteConfig;
|
||||
import org.apache.hudi.operator.InstantGenerateOperator;
|
||||
import org.apache.hudi.operator.KeyedWriteProcessFunction;
|
||||
import org.apache.hudi.operator.KeyedWriteProcessOperator;
|
||||
import org.apache.hudi.sink.CommitSink;
|
||||
import org.apache.hudi.source.JsonStringToHoodieRecordMapFunction;
|
||||
import org.apache.hudi.util.StreamerUtil;
|
||||
|
||||
import com.beust.jcommander.JCommander;
|
||||
import org.apache.flink.api.common.serialization.SimpleStringSchema;
|
||||
import org.apache.flink.api.common.typeinfo.TypeHint;
|
||||
import org.apache.flink.api.common.typeinfo.TypeInformation;
|
||||
import org.apache.flink.api.java.tuple.Tuple3;
|
||||
import org.apache.flink.runtime.state.filesystem.FsStateBackend;
|
||||
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 java.util.List;
|
||||
import java.util.Objects;
|
||||
|
||||
/**
|
||||
* An Utility which can incrementally consume data from Kafka and apply it to the target table.
|
||||
* currently, it only support COW table and insert, upsert operation.
|
||||
*/
|
||||
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);
|
||||
|
||||
if (cfg.flinkCheckPointPath != null) {
|
||||
env.setStateBackend(new FsStateBackend(cfg.flinkCheckPointPath));
|
||||
}
|
||||
|
||||
TypedProperties props = StreamerUtil.appendKafkaProps(cfg);
|
||||
|
||||
// add data source config
|
||||
props.put(HoodieWriteConfig.WRITE_PAYLOAD_CLASS, cfg.payloadClassName);
|
||||
props.put(HoodieWriteConfig.PRECOMBINE_FIELD_PROP, cfg.sourceOrderingField);
|
||||
|
||||
// Read from kafka source
|
||||
DataStream<HoodieRecord> inputRecords =
|
||||
env.addSource(new FlinkKafkaConsumer<>(cfg.kafkaTopic, new SimpleStringSchema(), props))
|
||||
.filter(Objects::nonNull)
|
||||
.map(new JsonStringToHoodieRecordMapFunction(props))
|
||||
.name("kafka_to_hudi_record")
|
||||
.uid("kafka_to_hudi_record_uid");
|
||||
|
||||
inputRecords.transform(InstantGenerateOperator.NAME, TypeInformation.of(HoodieRecord.class), new InstantGenerateOperator())
|
||||
.name("instant_generator")
|
||||
.uid("instant_generator_id")
|
||||
|
||||
// Keyby partition path, to avoid multiple subtasks writing to a partition at the same time
|
||||
.keyBy(HoodieRecord::getPartitionPath)
|
||||
|
||||
// write operator, where the write operation really happens
|
||||
.transform(KeyedWriteProcessOperator.NAME, TypeInformation.of(new TypeHint<Tuple3<String, List<WriteStatus>, Integer>>() {
|
||||
}), new KeyedWriteProcessOperator(new KeyedWriteProcessFunction()))
|
||||
.name("write_process")
|
||||
.uid("write_process_uid")
|
||||
.setParallelism(env.getParallelism())
|
||||
|
||||
// Commit can only be executed once, so make it one parallelism
|
||||
.addSink(new CommitSink())
|
||||
.name("commit_sink")
|
||||
.uid("commit_sink_uid")
|
||||
.setParallelism(1);
|
||||
|
||||
env.execute(cfg.targetTableName);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,102 @@
|
||||
/*
|
||||
* 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.operator.FlinkOptions;
|
||||
import org.apache.hudi.operator.StreamWriteOperatorFactory;
|
||||
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.json.JsonRowDataDeserializationSchema;
|
||||
import org.apache.flink.formats.json.TimestampFormat;
|
||||
import org.apache.flink.runtime.state.filesystem.FsStateBackend;
|
||||
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.RowDataTypeInfo;
|
||||
import org.apache.flink.table.types.logical.LogicalType;
|
||||
import org.apache.flink.table.types.logical.RowType;
|
||||
|
||||
import java.util.Properties;
|
||||
|
||||
/**
|
||||
* An Utility which can incrementally consume data from Kafka and apply it to the target table.
|
||||
* currently, it only support COW table and insert, upsert operation.
|
||||
*/
|
||||
public class HoodieFlinkStreamerV2 {
|
||||
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);
|
||||
|
||||
if (cfg.flinkCheckPointPath != null) {
|
||||
env.setStateBackend(new FsStateBackend(cfg.flinkCheckPointPath));
|
||||
}
|
||||
|
||||
Properties kafkaProps = StreamerUtil.appendKafkaProps(cfg);
|
||||
|
||||
// Read from kafka source
|
||||
RowType rowType =
|
||||
(RowType) AvroSchemaConverter.convertToDataType(StreamerUtil.getSourceSchema(cfg))
|
||||
.getLogicalType();
|
||||
Configuration conf = FlinkOptions.fromStreamerConfig(cfg);
|
||||
int numWriteTask = conf.getInteger(FlinkOptions.WRITE_TASK_PARALLELISM);
|
||||
StreamWriteOperatorFactory<RowData> operatorFactory =
|
||||
new StreamWriteOperatorFactory<>(rowType, conf, numWriteTask);
|
||||
|
||||
int partitionFieldIndex = rowType.getFieldIndex(conf.getString(FlinkOptions.PARTITION_PATH_FIELD));
|
||||
LogicalType partitionFieldType = rowType.getTypeAt(partitionFieldIndex);
|
||||
final RowData.FieldGetter partitionFieldGetter =
|
||||
RowData.createFieldGetter(partitionFieldType, partitionFieldIndex);
|
||||
|
||||
DataStream<Object> dataStream = env.addSource(new FlinkKafkaConsumer<>(
|
||||
cfg.kafkaTopic,
|
||||
new JsonRowDataDeserializationSchema(
|
||||
rowType,
|
||||
new RowDataTypeInfo(rowType),
|
||||
false,
|
||||
true,
|
||||
TimestampFormat.ISO_8601
|
||||
), kafkaProps))
|
||||
.name("kafka_source")
|
||||
.uid("uid_kafka_source")
|
||||
// Key-by partition path, to avoid multiple subtasks write to a partition at the same time
|
||||
.keyBy(partitionFieldGetter::getFieldOrNull)
|
||||
.transform("hoodie_stream_write", null, operatorFactory)
|
||||
.uid("uid_hoodie_stream_write")
|
||||
.setParallelism(numWriteTask); // should make it configurable
|
||||
|
||||
env.addOperator(dataStream.getTransformation());
|
||||
|
||||
env.execute(cfg.targetTableName);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,34 @@
|
||||
/*
|
||||
* 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.model.WriteOperationType;
|
||||
|
||||
import com.beust.jcommander.IStringConverter;
|
||||
import com.beust.jcommander.ParameterException;
|
||||
|
||||
/**
|
||||
* Converter that converts a string into enum WriteOperationType.
|
||||
*/
|
||||
public class OperationConverter implements IStringConverter<WriteOperationType> {
|
||||
@Override
|
||||
public WriteOperationType convert(String value) throws ParameterException {
|
||||
return WriteOperationType.valueOf(value);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,147 @@
|
||||
/*
|
||||
* 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.util;
|
||||
|
||||
import org.apache.avro.LogicalTypes;
|
||||
import org.apache.avro.Schema;
|
||||
import org.apache.flink.api.common.typeinfo.Types;
|
||||
import org.apache.flink.table.api.DataTypes;
|
||||
import org.apache.flink.table.types.AtomicDataType;
|
||||
import org.apache.flink.table.types.DataType;
|
||||
import org.apache.flink.table.types.logical.TypeInformationRawType;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* Converts an Avro schema into Flink's type information. It uses {@link org.apache.flink.api.java.typeutils.RowTypeInfo} for
|
||||
* representing objects and converts Avro types into types that are compatible with Flink's Table &
|
||||
* SQL API.
|
||||
*
|
||||
* <p>Note: Changes in this class need to be kept in sync with the corresponding runtime classes
|
||||
* {@link org.apache.flink.formats.avro.AvroRowDeserializationSchema} and {@link org.apache.flink.formats.avro.AvroRowSerializationSchema}.
|
||||
*
|
||||
* <p><p>NOTE: reference from Flink release 1.12.0, should remove when Flink version upgrade to that.
|
||||
*/
|
||||
public class AvroSchemaConverter {
|
||||
|
||||
/**
|
||||
* Converts an Avro schema {@code schema} into a nested row structure with deterministic field order and
|
||||
* data types that are compatible with Flink's Table & SQL API.
|
||||
*
|
||||
* @param schema Avro schema definition
|
||||
* @return data type matching the schema
|
||||
*/
|
||||
public static DataType convertToDataType(Schema schema) {
|
||||
switch (schema.getType()) {
|
||||
case RECORD:
|
||||
final List<Schema.Field> schemaFields = schema.getFields();
|
||||
|
||||
final DataTypes.Field[] fields = new DataTypes.Field[schemaFields.size()];
|
||||
for (int i = 0; i < schemaFields.size(); i++) {
|
||||
final Schema.Field field = schemaFields.get(i);
|
||||
fields[i] = DataTypes.FIELD(field.name(), convertToDataType(field.schema()));
|
||||
}
|
||||
return DataTypes.ROW(fields).notNull();
|
||||
case ENUM:
|
||||
return DataTypes.STRING().notNull();
|
||||
case ARRAY:
|
||||
return DataTypes.ARRAY(convertToDataType(schema.getElementType())).notNull();
|
||||
case MAP:
|
||||
return DataTypes.MAP(
|
||||
DataTypes.STRING().notNull(),
|
||||
convertToDataType(schema.getValueType()))
|
||||
.notNull();
|
||||
case UNION:
|
||||
final Schema actualSchema;
|
||||
final boolean nullable;
|
||||
if (schema.getTypes().size() == 2
|
||||
&& schema.getTypes().get(0).getType() == Schema.Type.NULL) {
|
||||
actualSchema = schema.getTypes().get(1);
|
||||
nullable = true;
|
||||
} else if (schema.getTypes().size() == 2
|
||||
&& schema.getTypes().get(1).getType() == Schema.Type.NULL) {
|
||||
actualSchema = schema.getTypes().get(0);
|
||||
nullable = true;
|
||||
} else if (schema.getTypes().size() == 1) {
|
||||
actualSchema = schema.getTypes().get(0);
|
||||
nullable = false;
|
||||
} else {
|
||||
// use Kryo for serialization
|
||||
return new AtomicDataType(
|
||||
new TypeInformationRawType<>(false, Types.GENERIC(Object.class)));
|
||||
}
|
||||
DataType converted = convertToDataType(actualSchema);
|
||||
return nullable ? converted.nullable() : converted;
|
||||
case FIXED:
|
||||
// logical decimal type
|
||||
if (schema.getLogicalType() instanceof LogicalTypes.Decimal) {
|
||||
final LogicalTypes.Decimal decimalType =
|
||||
(LogicalTypes.Decimal) schema.getLogicalType();
|
||||
return DataTypes.DECIMAL(decimalType.getPrecision(), decimalType.getScale())
|
||||
.notNull();
|
||||
}
|
||||
// convert fixed size binary data to primitive byte arrays
|
||||
return DataTypes.VARBINARY(schema.getFixedSize()).notNull();
|
||||
case STRING:
|
||||
// convert Avro's Utf8/CharSequence to String
|
||||
return DataTypes.STRING().notNull();
|
||||
case BYTES:
|
||||
// logical decimal type
|
||||
if (schema.getLogicalType() instanceof LogicalTypes.Decimal) {
|
||||
final LogicalTypes.Decimal decimalType =
|
||||
(LogicalTypes.Decimal) schema.getLogicalType();
|
||||
return DataTypes.DECIMAL(decimalType.getPrecision(), decimalType.getScale())
|
||||
.notNull();
|
||||
}
|
||||
return DataTypes.BYTES().notNull();
|
||||
case INT:
|
||||
// logical date and time type
|
||||
final org.apache.avro.LogicalType logicalType = schema.getLogicalType();
|
||||
if (logicalType == LogicalTypes.date()) {
|
||||
return DataTypes.DATE().notNull();
|
||||
} else if (logicalType == LogicalTypes.timeMillis()) {
|
||||
return DataTypes.TIME(3).notNull();
|
||||
}
|
||||
return DataTypes.INT().notNull();
|
||||
case LONG:
|
||||
// logical timestamp type
|
||||
if (schema.getLogicalType() == LogicalTypes.timestampMillis()) {
|
||||
return DataTypes.TIMESTAMP(3).notNull();
|
||||
} else if (schema.getLogicalType() == LogicalTypes.timestampMicros()) {
|
||||
return DataTypes.TIMESTAMP(6).notNull();
|
||||
} else if (schema.getLogicalType() == LogicalTypes.timeMillis()) {
|
||||
return DataTypes.TIME(3).notNull();
|
||||
} else if (schema.getLogicalType() == LogicalTypes.timeMicros()) {
|
||||
return DataTypes.TIME(6).notNull();
|
||||
}
|
||||
return DataTypes.BIGINT().notNull();
|
||||
case FLOAT:
|
||||
return DataTypes.FLOAT().notNull();
|
||||
case DOUBLE:
|
||||
return DataTypes.DOUBLE().notNull();
|
||||
case BOOLEAN:
|
||||
return DataTypes.BOOLEAN().notNull();
|
||||
case NULL:
|
||||
return DataTypes.NULL();
|
||||
default:
|
||||
throw new IllegalArgumentException("Unsupported Avro type '" + schema.getType() + "'.");
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -0,0 +1,309 @@
|
||||
/*
|
||||
* 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.util;
|
||||
|
||||
import org.apache.flink.annotation.Internal;
|
||||
import org.apache.flink.table.data.ArrayData;
|
||||
import org.apache.flink.table.data.DecimalData;
|
||||
import org.apache.flink.table.data.MapData;
|
||||
import org.apache.flink.table.data.RowData;
|
||||
import org.apache.flink.table.data.TimestampData;
|
||||
import org.apache.flink.table.types.logical.ArrayType;
|
||||
import org.apache.flink.table.types.logical.LogicalType;
|
||||
import org.apache.flink.table.types.logical.RowType;
|
||||
|
||||
import org.apache.avro.Schema;
|
||||
import org.apache.avro.generic.GenericData;
|
||||
import org.apache.avro.generic.GenericRecord;
|
||||
import org.apache.avro.util.Utf8;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.nio.ByteBuffer;
|
||||
import java.util.ArrayList;
|
||||
import java.util.HashMap;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
import static org.apache.flink.formats.avro.typeutils.AvroSchemaConverter.extractValueTypeToAvroMap;
|
||||
|
||||
/**
|
||||
* Tool class used to convert from {@link RowData} to Avro {@link GenericRecord}.
|
||||
*
|
||||
* <p>NOTE: reference from Flink release 1.12.0, should remove when Flink version upgrade to that.
|
||||
*/
|
||||
@Internal
|
||||
public class RowDataToAvroConverters {
|
||||
|
||||
// --------------------------------------------------------------------------------
|
||||
// Runtime Converters
|
||||
// --------------------------------------------------------------------------------
|
||||
|
||||
/**
|
||||
* Runtime converter that converts objects of Flink Table & SQL internal data structures to
|
||||
* corresponding Avro data structures.
|
||||
*/
|
||||
@FunctionalInterface
|
||||
public interface RowDataToAvroConverter extends Serializable {
|
||||
Object convert(Schema schema, Object object);
|
||||
}
|
||||
|
||||
// --------------------------------------------------------------------------------
|
||||
// IMPORTANT! We use anonymous classes instead of lambdas for a reason here. It is
|
||||
// necessary because the maven shade plugin cannot relocate classes in
|
||||
// SerializedLambdas (MSHADE-260). On the other hand we want to relocate Avro for
|
||||
// sql-client uber jars.
|
||||
// --------------------------------------------------------------------------------
|
||||
|
||||
/**
|
||||
* Creates a runtime converter accroding to the given logical type that converts objects of
|
||||
* Flink Table & SQL internal data structures to corresponding Avro data structures.
|
||||
*/
|
||||
public static RowDataToAvroConverter createConverter(LogicalType type) {
|
||||
final RowDataToAvroConverter converter;
|
||||
switch (type.getTypeRoot()) {
|
||||
case NULL:
|
||||
converter =
|
||||
new RowDataToAvroConverter() {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
@Override
|
||||
public Object convert(Schema schema, Object object) {
|
||||
return null;
|
||||
}
|
||||
};
|
||||
break;
|
||||
case TINYINT:
|
||||
converter =
|
||||
new RowDataToAvroConverter() {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
@Override
|
||||
public Object convert(Schema schema, Object object) {
|
||||
return ((Byte) object).intValue();
|
||||
}
|
||||
};
|
||||
break;
|
||||
case SMALLINT:
|
||||
converter =
|
||||
new RowDataToAvroConverter() {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
@Override
|
||||
public Object convert(Schema schema, Object object) {
|
||||
return ((Short) object).intValue();
|
||||
}
|
||||
};
|
||||
break;
|
||||
case BOOLEAN: // boolean
|
||||
case INTEGER: // int
|
||||
case INTERVAL_YEAR_MONTH: // long
|
||||
case BIGINT: // long
|
||||
case INTERVAL_DAY_TIME: // long
|
||||
case FLOAT: // float
|
||||
case DOUBLE: // double
|
||||
case TIME_WITHOUT_TIME_ZONE: // int
|
||||
case DATE: // int
|
||||
converter =
|
||||
new RowDataToAvroConverter() {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
@Override
|
||||
public Object convert(Schema schema, Object object) {
|
||||
return object;
|
||||
}
|
||||
};
|
||||
break;
|
||||
case CHAR:
|
||||
case VARCHAR:
|
||||
converter =
|
||||
new RowDataToAvroConverter() {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
@Override
|
||||
public Object convert(Schema schema, Object object) {
|
||||
return new Utf8(object.toString());
|
||||
}
|
||||
};
|
||||
break;
|
||||
case BINARY:
|
||||
case VARBINARY:
|
||||
converter =
|
||||
new RowDataToAvroConverter() {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
@Override
|
||||
public Object convert(Schema schema, Object object) {
|
||||
return ByteBuffer.wrap((byte[]) object);
|
||||
}
|
||||
};
|
||||
break;
|
||||
case TIMESTAMP_WITHOUT_TIME_ZONE:
|
||||
converter =
|
||||
new RowDataToAvroConverter() {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
@Override
|
||||
public Object convert(Schema schema, Object object) {
|
||||
return ((TimestampData) object).toInstant().toEpochMilli();
|
||||
}
|
||||
};
|
||||
break;
|
||||
case DECIMAL:
|
||||
converter =
|
||||
new RowDataToAvroConverter() {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
@Override
|
||||
public Object convert(Schema schema, Object object) {
|
||||
return ByteBuffer.wrap(((DecimalData) object).toUnscaledBytes());
|
||||
}
|
||||
};
|
||||
break;
|
||||
case ARRAY:
|
||||
converter = createArrayConverter((ArrayType) type);
|
||||
break;
|
||||
case ROW:
|
||||
converter = createRowConverter((RowType) type);
|
||||
break;
|
||||
case MAP:
|
||||
case MULTISET:
|
||||
converter = createMapConverter(type);
|
||||
break;
|
||||
case RAW:
|
||||
default:
|
||||
throw new UnsupportedOperationException("Unsupported type: " + type);
|
||||
}
|
||||
|
||||
// wrap into nullable converter
|
||||
return new RowDataToAvroConverter() {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
@Override
|
||||
public Object convert(Schema schema, Object object) {
|
||||
if (object == null) {
|
||||
return null;
|
||||
}
|
||||
|
||||
// get actual schema if it is a nullable schema
|
||||
Schema actualSchema;
|
||||
if (schema.getType() == Schema.Type.UNION) {
|
||||
List<Schema> types = schema.getTypes();
|
||||
int size = types.size();
|
||||
if (size == 2 && types.get(1).getType() == Schema.Type.NULL) {
|
||||
actualSchema = types.get(0);
|
||||
} else if (size == 2 && types.get(0).getType() == Schema.Type.NULL) {
|
||||
actualSchema = types.get(1);
|
||||
} else {
|
||||
throw new IllegalArgumentException(
|
||||
"The Avro schema is not a nullable type: " + schema.toString());
|
||||
}
|
||||
} else {
|
||||
actualSchema = schema;
|
||||
}
|
||||
return converter.convert(actualSchema, object);
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
private static RowDataToAvroConverter createRowConverter(RowType rowType) {
|
||||
final RowDataToAvroConverter[] fieldConverters =
|
||||
rowType.getChildren().stream()
|
||||
.map(RowDataToAvroConverters::createConverter)
|
||||
.toArray(RowDataToAvroConverter[]::new);
|
||||
final LogicalType[] fieldTypes =
|
||||
rowType.getFields().stream()
|
||||
.map(RowType.RowField::getType)
|
||||
.toArray(LogicalType[]::new);
|
||||
final RowData.FieldGetter[] fieldGetters = new RowData.FieldGetter[fieldTypes.length];
|
||||
for (int i = 0; i < fieldTypes.length; i++) {
|
||||
fieldGetters[i] = RowData.createFieldGetter(fieldTypes[i], i);
|
||||
}
|
||||
final int length = rowType.getFieldCount();
|
||||
|
||||
return new RowDataToAvroConverter() {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
@Override
|
||||
public Object convert(Schema schema, Object object) {
|
||||
final RowData row = (RowData) object;
|
||||
final List<Schema.Field> fields = schema.getFields();
|
||||
final GenericRecord record = new GenericData.Record(schema);
|
||||
for (int i = 0; i < length; ++i) {
|
||||
final Schema.Field schemaField = fields.get(i);
|
||||
Object avroObject =
|
||||
fieldConverters[i].convert(
|
||||
schemaField.schema(), fieldGetters[i].getFieldOrNull(row));
|
||||
record.put(i, avroObject);
|
||||
}
|
||||
return record;
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
private static RowDataToAvroConverter createArrayConverter(ArrayType arrayType) {
|
||||
LogicalType elementType = arrayType.getElementType();
|
||||
final ArrayData.ElementGetter elementGetter = ArrayData.createElementGetter(elementType);
|
||||
final RowDataToAvroConverter elementConverter = createConverter(arrayType.getElementType());
|
||||
|
||||
return new RowDataToAvroConverter() {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
@Override
|
||||
public Object convert(Schema schema, Object object) {
|
||||
final Schema elementSchema = schema.getElementType();
|
||||
ArrayData arrayData = (ArrayData) object;
|
||||
List<Object> list = new ArrayList<>();
|
||||
for (int i = 0; i < arrayData.size(); ++i) {
|
||||
list.add(
|
||||
elementConverter.convert(
|
||||
elementSchema, elementGetter.getElementOrNull(arrayData, i)));
|
||||
}
|
||||
return list;
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
private static RowDataToAvroConverter createMapConverter(LogicalType type) {
|
||||
LogicalType valueType = extractValueTypeToAvroMap(type);
|
||||
final ArrayData.ElementGetter valueGetter = ArrayData.createElementGetter(valueType);
|
||||
final RowDataToAvroConverter valueConverter = createConverter(valueType);
|
||||
|
||||
return new RowDataToAvroConverter() {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
@Override
|
||||
public Object convert(Schema schema, Object object) {
|
||||
final Schema valueSchema = schema.getValueType();
|
||||
final MapData mapData = (MapData) object;
|
||||
final ArrayData keyArray = mapData.keyArray();
|
||||
final ArrayData valueArray = mapData.valueArray();
|
||||
final Map<Object, Object> map = new HashMap<>(mapData.size());
|
||||
for (int i = 0; i < mapData.size(); ++i) {
|
||||
final String key = keyArray.getString(i).toString();
|
||||
final Object value =
|
||||
valueConverter.convert(
|
||||
valueSchema, valueGetter.getElementOrNull(valueArray, i));
|
||||
map.put(key, value);
|
||||
}
|
||||
return map;
|
||||
}
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
@@ -18,47 +18,71 @@
|
||||
|
||||
package org.apache.hudi.util;
|
||||
|
||||
import org.apache.hudi.HoodieFlinkStreamer;
|
||||
import org.apache.hudi.keygen.SimpleAvroKeyGenerator;
|
||||
import org.apache.hudi.streamer.FlinkStreamerConfig;
|
||||
import org.apache.hudi.common.config.DFSPropertiesConfiguration;
|
||||
import org.apache.hudi.common.config.TypedProperties;
|
||||
import org.apache.hudi.common.fs.FSUtils;
|
||||
import org.apache.hudi.common.engine.EngineType;
|
||||
import org.apache.hudi.common.fs.FSUtils;
|
||||
import org.apache.hudi.common.model.HoodieRecordPayload;
|
||||
import org.apache.hudi.common.util.Option;
|
||||
import org.apache.hudi.common.util.ReflectionUtils;
|
||||
import org.apache.hudi.config.HoodieCompactionConfig;
|
||||
import org.apache.hudi.config.HoodiePayloadConfig;
|
||||
import org.apache.hudi.config.HoodieWriteConfig;
|
||||
import org.apache.hudi.exception.HoodieIOException;
|
||||
import org.apache.hudi.exception.HoodieNotSupportedException;
|
||||
import org.apache.hudi.keygen.KeyGenerator;
|
||||
import org.apache.hudi.keygen.SimpleAvroKeyGenerator;
|
||||
import org.apache.hudi.operator.FlinkOptions;
|
||||
import org.apache.hudi.schema.FilebasedSchemaProvider;
|
||||
|
||||
import org.apache.avro.Schema;
|
||||
import org.apache.avro.generic.GenericRecord;
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.flink.api.java.hadoop.mapred.utils.HadoopUtils;
|
||||
import org.apache.flink.configuration.ConfigOption;
|
||||
import org.apache.flink.configuration.Configuration;
|
||||
import org.apache.flink.util.Preconditions;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
import org.apache.kafka.clients.consumer.ConsumerConfig;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import java.io.BufferedReader;
|
||||
import java.io.File;
|
||||
import java.io.IOException;
|
||||
import java.io.StringReader;
|
||||
import java.util.List;
|
||||
import java.util.Properties;
|
||||
|
||||
/**
|
||||
* Utilities for Flink stream read and write.
|
||||
*/
|
||||
public class StreamerUtil {
|
||||
|
||||
private static Logger LOG = LoggerFactory.getLogger(StreamerUtil.class);
|
||||
private static final Logger LOG = LoggerFactory.getLogger(StreamerUtil.class);
|
||||
|
||||
public static TypedProperties getProps(HoodieFlinkStreamer.Config cfg) {
|
||||
public static TypedProperties appendKafkaProps(FlinkStreamerConfig config) {
|
||||
TypedProperties properties = getProps(config);
|
||||
properties.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, config.kafkaBootstrapServers);
|
||||
properties.put(ConsumerConfig.GROUP_ID_CONFIG, config.kafkaGroupId);
|
||||
return properties;
|
||||
}
|
||||
|
||||
public static TypedProperties getProps(FlinkStreamerConfig cfg) {
|
||||
return readConfig(
|
||||
FSUtils.getFs(cfg.propsFilePath, getHadoopConf()),
|
||||
new Path(cfg.propsFilePath), cfg.configs).getConfig();
|
||||
}
|
||||
|
||||
public static Schema getSourceSchema(FlinkStreamerConfig cfg) {
|
||||
return new FilebasedSchemaProvider(FlinkOptions.fromStreamerConfig(cfg)).getSourceSchema();
|
||||
}
|
||||
|
||||
public static Schema getSourceSchema(org.apache.flink.configuration.Configuration conf) {
|
||||
return new FilebasedSchemaProvider(conf).getSourceSchema();
|
||||
}
|
||||
|
||||
/**
|
||||
* Read conig from files.
|
||||
* Read config from properties file (`--props` option) and cmd line (`--hoodie-conf` option).
|
||||
*/
|
||||
public static DFSPropertiesConfiguration readConfig(FileSystem fs, Path cfgPath, List<String> overriddenProps) {
|
||||
DFSPropertiesConfiguration conf;
|
||||
@@ -81,16 +105,50 @@ public class StreamerUtil {
|
||||
return conf;
|
||||
}
|
||||
|
||||
public static Configuration getHadoopConf() {
|
||||
return new Configuration();
|
||||
public static org.apache.hadoop.conf.Configuration getHadoopConf() {
|
||||
// create hadoop configuration with hadoop conf directory configured.
|
||||
org.apache.hadoop.conf.Configuration hadoopConf = null;
|
||||
for (String possibleHadoopConfPath : HadoopUtils.possibleHadoopConfPaths(new Configuration())) {
|
||||
hadoopConf = getHadoopConfiguration(possibleHadoopConfPath);
|
||||
if (hadoopConf != null) {
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (hadoopConf == null) {
|
||||
hadoopConf = new org.apache.hadoop.conf.Configuration();
|
||||
}
|
||||
return hadoopConf;
|
||||
}
|
||||
|
||||
public static void checkRequiredProperties(TypedProperties props, List<String> checkPropNames) {
|
||||
checkPropNames.forEach(prop -> {
|
||||
if (!props.containsKey(prop)) {
|
||||
throw new HoodieNotSupportedException("Required property " + prop + " is missing");
|
||||
/**
|
||||
* Returns a new Hadoop Configuration object using the path to the hadoop conf configured.
|
||||
*
|
||||
* @param hadoopConfDir Hadoop conf directory path.
|
||||
* @return A Hadoop configuration instance.
|
||||
*/
|
||||
private static org.apache.hadoop.conf.Configuration getHadoopConfiguration(String hadoopConfDir) {
|
||||
if (new File(hadoopConfDir).exists()) {
|
||||
org.apache.hadoop.conf.Configuration hadoopConfiguration = new org.apache.hadoop.conf.Configuration();
|
||||
File coreSite = new File(hadoopConfDir, "core-site.xml");
|
||||
if (coreSite.exists()) {
|
||||
hadoopConfiguration.addResource(new Path(coreSite.getAbsolutePath()));
|
||||
}
|
||||
});
|
||||
File hdfsSite = new File(hadoopConfDir, "hdfs-site.xml");
|
||||
if (hdfsSite.exists()) {
|
||||
hadoopConfiguration.addResource(new Path(hdfsSite.getAbsolutePath()));
|
||||
}
|
||||
File yarnSite = new File(hadoopConfDir, "yarn-site.xml");
|
||||
if (yarnSite.exists()) {
|
||||
hadoopConfiguration.addResource(new Path(yarnSite.getAbsolutePath()));
|
||||
}
|
||||
// Add mapred-site.xml. We need to read configurations like compression codec.
|
||||
File mapredSite = new File(hadoopConfDir, "mapred-site.xml");
|
||||
if (mapredSite.exists()) {
|
||||
hadoopConfiguration.addResource(new Path(mapredSite.getAbsolutePath()));
|
||||
}
|
||||
return hadoopConfiguration;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -109,6 +167,21 @@ public class StreamerUtil {
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Create a key generator class via reflection, passing in any configs needed.
|
||||
* <p>
|
||||
* If the class name of key generator is configured through the properties file, i.e., {@code props}, use the corresponding key generator class; otherwise, use the default key generator class
|
||||
* specified in {@link FlinkOptions}.
|
||||
*/
|
||||
public static KeyGenerator createKeyGenerator(Configuration conf) throws IOException {
|
||||
String keyGeneratorClass = conf.getString(FlinkOptions.KEYGEN_CLASS);
|
||||
try {
|
||||
return (KeyGenerator) ReflectionUtils.loadClass(keyGeneratorClass, flinkConf2TypedProperties(conf));
|
||||
} catch (Throwable e) {
|
||||
throw new IOException("Could not load key generator class " + keyGeneratorClass, e);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Create a payload class via reflection, passing in an ordering/precombine value.
|
||||
*/
|
||||
@@ -122,21 +195,59 @@ public class StreamerUtil {
|
||||
}
|
||||
}
|
||||
|
||||
public static HoodieWriteConfig getHoodieClientConfig(HoodieFlinkStreamer.Config cfg) {
|
||||
FileSystem fs = FSUtils.getFs(cfg.targetBasePath, getHadoopConf());
|
||||
HoodieWriteConfig.Builder builder =
|
||||
HoodieWriteConfig.newBuilder().withEngineType(EngineType.FLINK).withPath(cfg.targetBasePath).combineInput(cfg.filterDupes, true)
|
||||
.withCompactionConfig(HoodieCompactionConfig.newBuilder().withPayloadClass(cfg.payloadClassName).build())
|
||||
.withPayloadConfig(HoodiePayloadConfig.newBuilder().withPayloadOrderingField(cfg.sourceOrderingField)
|
||||
.build())
|
||||
.forTable(cfg.targetTableName)
|
||||
.withAutoCommit(false)
|
||||
.withProps(readConfig(fs, new Path(cfg.propsFilePath), cfg.configs)
|
||||
.getConfig());
|
||||
|
||||
builder = builder.withSchema(new FilebasedSchemaProvider(getProps(cfg)).getTargetSchema().toString());
|
||||
HoodieWriteConfig config = builder.build();
|
||||
return config;
|
||||
/**
|
||||
* Create a payload class via reflection, do not ordering/precombine value.
|
||||
*/
|
||||
public static HoodieRecordPayload createPayload(String payloadClass, GenericRecord record)
|
||||
throws IOException {
|
||||
try {
|
||||
return (HoodieRecordPayload) ReflectionUtils.loadClass(payloadClass,
|
||||
new Class<?>[] {Option.class}, Option.of(record));
|
||||
} catch (Throwable e) {
|
||||
throw new IOException("Could not create payload for class: " + payloadClass, e);
|
||||
}
|
||||
}
|
||||
|
||||
public static HoodieWriteConfig getHoodieClientConfig(Configuration conf) {
|
||||
HoodieWriteConfig.Builder builder =
|
||||
HoodieWriteConfig.newBuilder()
|
||||
.withEngineType(EngineType.FLINK)
|
||||
.withPath(conf.getString(FlinkOptions.PATH))
|
||||
.combineInput(conf.getBoolean(FlinkOptions.INSERT_DROP_DUPS), true)
|
||||
.withCompactionConfig(
|
||||
HoodieCompactionConfig.newBuilder()
|
||||
.withPayloadClass(conf.getString(FlinkOptions.PAYLOAD_CLASS))
|
||||
.build())
|
||||
.forTable(conf.getString(FlinkOptions.TABLE_NAME))
|
||||
.withAutoCommit(false)
|
||||
.withProps(flinkConf2TypedProperties(FlinkOptions.flatOptions(conf)));
|
||||
|
||||
builder = builder.withSchema(getSourceSchema(conf).toString());
|
||||
return builder.build();
|
||||
}
|
||||
|
||||
/**
|
||||
* Converts the give {@link Configuration} to {@link TypedProperties}.
|
||||
* The default values are also set up.
|
||||
*
|
||||
* @param conf The flink configuration
|
||||
* @return a TypedProperties instance
|
||||
*/
|
||||
public static TypedProperties flinkConf2TypedProperties(Configuration conf) {
|
||||
Properties properties = new Properties();
|
||||
// put all the set up options
|
||||
conf.addAllToProperties(properties);
|
||||
// put all the default options
|
||||
for (ConfigOption<?> option : FlinkOptions.OPTIONAL_OPTIONS) {
|
||||
if (!conf.contains(option)) {
|
||||
properties.put(option.key(), option.defaultValue());
|
||||
}
|
||||
}
|
||||
return new TypedProperties(properties);
|
||||
}
|
||||
|
||||
public static void checkRequiredProperties(TypedProperties props, List<String> checkPropNames) {
|
||||
checkPropNames.forEach(prop ->
|
||||
Preconditions.checkState(!props.containsKey(prop), "Required property " + prop + " is missing"));
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user