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Posted to commits@hudi.apache.org by GitBox <gi...@apache.org> on 2021/01/16 16:27:57 UTC
[GitHub] [hudi] garyli1019 commented on a change in pull request #2430: [HUDI-1522] Add a new pipeline for Flink writer
garyli1019 commented on a change in pull request #2430:
URL: https://github.com/apache/hudi/pull/2430#discussion_r558935414
##########
File path: hudi-flink/src/main/java/org/apache/hudi/operator/StreamWriteFunction.java
##########
@@ -0,0 +1,342 @@
+/*
+ * 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.common.util.ObjectSizeCalculator;
+import org.apache.hudi.keygen.KeyGenerator;
+import org.apache.hudi.operator.event.BatchWriteSuccessEvent;
+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.formats.avro.RowDataToAvroConverters;
+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.Random;
+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 = org.apache.flink.formats.avro.typeutils
+ .AvroSchemaConverter.convertToSchema(rowType);
+ this.config = config;
+ }
+
+ @Override
+ public void open(Configuration parameters) throws IOException {
+ this.taskID = getRuntimeContext().getIndexOfThisSubtask();
+ this.keyGenerator = StreamerUtil.createKeyGenerator(HoodieOptions.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(HoodieOptions.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(toHoodie(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(HoodieOptions.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);
+ }
+ }
+
+ // Keep for mini-batch write.
+ private static class BufferSizeEstimator {
Review comment:
This data also available in the `WriteStatus`. We have `TotalWriteBytes` and `TotalRecords` e.t.c. How are we gonna use this later on?
##########
File path: hudi-flink/src/main/java/org/apache/hudi/operator/HoodieOptions.java
##########
@@ -0,0 +1,248 @@
+/*
+ * 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.streamer.Config;
+import org.apache.hudi.common.model.OverwriteWithLatestAvroPayload;
+import org.apache.hudi.keygen.SimpleAvroKeyGenerator;
+import org.apache.hudi.keygen.constant.KeyGeneratorOptions;
+import org.apache.hudi.util.StreamerUtil;
+
+import org.apache.flink.configuration.ConfigOption;
+import org.apache.flink.configuration.ConfigOptions;
+import org.apache.flink.configuration.Configuration;
+
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * Hoodie Flink config options.
+ *
+ * <p>It has the options for Hoodie table read and write. It also defines some utilities.
+ */
+public class HoodieOptions {
+ private HoodieOptions() {
+ }
+
+ // ------------------------------------------------------------------------
+ // Base Options
+ // ------------------------------------------------------------------------
+ public static final ConfigOption<String> PATH = ConfigOptions
+ .key("path")
+ .stringType()
+ .noDefaultValue()
+ .withDescription("Base path for the target hoodie table."
+ + "\nThe path would be created if it does not exist,\n"
+ + "otherwise a Hoodie table expects to be initialized successfully");
+
+ public static final ConfigOption<String> PROPS_FILE_PATH = ConfigOptions
+ .key("properties-file.path")
+ .stringType()
+ .noDefaultValue()
+ .withDescription("Path to properties file on local-fs or dfs, with configurations for \n"
+ + "hoodie client, schema provider, key generator and data source. For hoodie client props, sane defaults are\n"
+ + "used, but recommend use to provide basic things like metrics endpoints, hive configs etc. For sources, refer\n"
+ + "to individual classes, for supported properties");
+
+ // ------------------------------------------------------------------------
+ // Read Options
+ // ------------------------------------------------------------------------
+ public static final ConfigOption<String> READ_SCHEMA_FILE_PATH = ConfigOptions
+ .key("read.schema.file.path")
+ .stringType()
+ .noDefaultValue()
+ .withDescription("Avro schema file path, the parsed schema is used for deserializing");
+
+ // ------------------------------------------------------------------------
+ // Write Options
+ // ------------------------------------------------------------------------
+ public static final ConfigOption<String> TABLE_NAME = ConfigOptions
+ .key("write.table.name")
Review comment:
Can we reuse the config under `HoodieWriteConfiguration`? That would be great if we can use the same set of config for both Spark and Flink.
##########
File path: hudi-flink/src/main/java/org/apache/hudi/operator/HoodieOptions.java
##########
@@ -0,0 +1,248 @@
+/*
+ * 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.streamer.Config;
+import org.apache.hudi.common.model.OverwriteWithLatestAvroPayload;
+import org.apache.hudi.keygen.SimpleAvroKeyGenerator;
+import org.apache.hudi.keygen.constant.KeyGeneratorOptions;
+import org.apache.hudi.util.StreamerUtil;
+
+import org.apache.flink.configuration.ConfigOption;
+import org.apache.flink.configuration.ConfigOptions;
+import org.apache.flink.configuration.Configuration;
+
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * Hoodie Flink config options.
+ *
+ * <p>It has the options for Hoodie table read and write. It also defines some utilities.
+ */
+public class HoodieOptions {
Review comment:
+1 for adding `Flink` into the class name. We might add more engine support in the future. Use `HoodieOptions` make more sense to me if we add this connector under Flink's codebase.
##########
File path: hudi-flink/src/main/java/org/apache/hudi/operator/StreamWriteFunction.java
##########
@@ -0,0 +1,342 @@
+/*
+ * 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.common.util.ObjectSizeCalculator;
+import org.apache.hudi.keygen.KeyGenerator;
+import org.apache.hudi.operator.event.BatchWriteSuccessEvent;
+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.formats.avro.RowDataToAvroConverters;
+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.Random;
+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 = org.apache.flink.formats.avro.typeutils
+ .AvroSchemaConverter.convertToSchema(rowType);
+ this.config = config;
+ }
+
+ @Override
+ public void open(Configuration parameters) throws IOException {
+ this.taskID = getRuntimeContext().getIndexOfThisSubtask();
+ this.keyGenerator = StreamerUtil.createKeyGenerator(HoodieOptions.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(HoodieOptions.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(toHoodie(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(HoodieOptions.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);
+ }
+ }
+
+ // Keep for mini-batch write.
+ private static class BufferSizeEstimator {
+ private final Random random = new Random(47);
+
+ private long lastRecordSize = -1L;
+ private long totalSize = 0L;
+
+ long estimate(Object record) {
+ if (lastRecordSize == -1 || sampling()) {
+ lastRecordSize = ObjectSizeCalculator.getObjectSize(record);
+ }
+ totalSize += lastRecordSize;
+ return totalSize;
+ }
+
+ boolean sampling() {
+ // 0.01 sampling percentage
+ return random.nextInt(100) == 1;
+ }
+
+ void reset() {
+ this.lastRecordSize = -1L;
+ this.totalSize = 0L;
+ }
+ }
+
+ /**
+ * 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 toHoodie(I record) throws IOException {
Review comment:
nit: `toHoodieRecord`?
##########
File path: hudi-flink/src/test/java/org/apache/hudi/operator/utils/StreamWriteFunctionWrapper.java
##########
@@ -0,0 +1,122 @@
+/*
+ * 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.utils;
+
+import org.apache.flink.api.common.typeutils.TypeSerializer;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.runtime.io.disk.iomanager.IOManager;
+import org.apache.flink.runtime.io.disk.iomanager.IOManagerAsync;
+import org.apache.flink.runtime.memory.MemoryManager;
+import org.apache.flink.runtime.operators.coordination.OperatorEvent;
+import org.apache.flink.runtime.operators.testutils.MockEnvironment;
+import org.apache.flink.runtime.operators.testutils.MockEnvironmentBuilder;
+import org.apache.flink.streaming.api.operators.StreamingRuntimeContext;
+import org.apache.flink.streaming.api.operators.collect.utils.MockFunctionSnapshotContext;
+import org.apache.flink.streaming.api.operators.collect.utils.MockOperatorEventGateway;
+
+import org.apache.hudi.client.HoodieFlinkWriteClient;
+import org.apache.hudi.operator.StreamWriteFunction;
+import org.apache.hudi.operator.StreamWriteOperatorCoordinator;
+import org.apache.hudi.operator.event.BatchWriteSuccessEvent;
+
+import java.util.concurrent.CompletableFuture;
+
+/**
+ * A wrapper class to manipulate the {@link StreamWriteFunction} instance for testing.
+ *
+ * @param <I> Input type
+ */
+public class StreamWriteFunctionWrapper<I> {
+ private final TypeSerializer<I> serializer;
+ private final Configuration conf;
+
+ private final IOManager ioManager;
+ private final StreamingRuntimeContext runtimeContext;
+ private final MockOperatorEventGateway gateway;
+ private final StreamWriteOperatorCoordinator coordinator;
+ private final MockFunctionInitializationContext functionInitializationContext;
+
+ private StreamWriteFunction<Object, I, Object> function;
+
+ public StreamWriteFunctionWrapper(String tablePath, TypeSerializer<I> serializer) throws Exception {
+ this.serializer = serializer;
+ this.ioManager = new IOManagerAsync();
+ MockEnvironment environment = new MockEnvironmentBuilder()
+ .setTaskName("mockTask")
+ .setManagedMemorySize(4 * MemoryManager.DEFAULT_PAGE_SIZE)
+ .setIOManager(ioManager)
+ .build();
+ this.runtimeContext = new MockStreamingRuntimeContext(false, 1, 0, environment);
+ this.gateway = new MockOperatorEventGateway();
+ this.conf = TestConfigurations.getDefaultConf(tablePath);
+ // one function
+ this.coordinator = new StreamWriteOperatorCoordinator(conf, 1);
+ this.coordinator.start();
+ this.functionInitializationContext = new MockFunctionInitializationContext();
+ }
+
+ public void openFunction() throws Exception {
+ function = new StreamWriteFunction<>(TestConfigurations.ROW_TYPE, this.conf);
+ function.setRuntimeContext(runtimeContext);
+ function.setOperatorEventGateway(gateway);
+ function.open(this.conf);
+ }
+
+ public void invoke(I record) throws Exception {
+ function.processElement(record, null, null);
+ }
+
+ public BatchWriteSuccessEvent[] getEventBuffer() {
+ return this.coordinator.getEventBuffer();
+ }
+
+ public OperatorEvent getNextEvent() {
+ return this.gateway.getNextEvent();
+ }
+
+ @SuppressWarnings("rawtypes")
+ public HoodieFlinkWriteClient getWriteClient() {
+ return this.function.getWriteClient();
+ }
+
+ public void checkpointFunction(long checkpointId) throws Exception {
Review comment:
Where is this method being called? How do we generate the checkpointId?
##########
File path: hudi-flink/src/main/java/org/apache/hudi/util/StreamerUtil.java
##########
@@ -109,6 +167,21 @@ public static KeyGenerator createKeyGenerator(TypedProperties props) throws IOEx
}
}
+ /**
+ * 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 {@code DataSourceWriteOptions}.
Review comment:
nit: this linked to Spark code
##########
File path: hudi-flink/src/main/java/org/apache/hudi/operator/StreamWriteOperatorFactory.java
##########
@@ -0,0 +1,79 @@
+/*
+ * 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 static final long DEFAULT_MAX_BYTES_PER_BATCH = (1 << 21) * 128; // 256MB
Review comment:
For the later use?
##########
File path: hudi-flink/src/main/java/org/apache/hudi/streamer/OperationConverter.java
##########
@@ -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 {
Review comment:
This is available in the `WriteOperationType`. Can we reuse from there?
##########
File path: hudi-flink/src/main/java/org/apache/hudi/operator/StreamWriteOperatorCoordinator.java
##########
@@ -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(
Review comment:
How about using a hoodie internal exception here?
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