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https://issues.apache.org/jira/browse/FLINK-3229?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15253871#comment-15253871
]
ASF GitHub Bot commented on FLINK-3229:
---------------------------------------
Github user rmetzger commented on a diff in the pull request:
https://github.com/apache/flink/pull/1911#discussion_r60733759
--- Diff:
flink-streaming-connectors/flink-connector-kinesis/src/main/java/org/apache/flink/streaming/connectors/kinesis/FlinkKinesisConsumer.java
---
@@ -0,0 +1,481 @@
+/*
+ * 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.flink.streaming.connectors.kinesis;
+
+import com.amazonaws.regions.Regions;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.api.java.typeutils.ResultTypeQueryable;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.runtime.state.CheckpointListener;
+import
org.apache.flink.streaming.api.checkpoint.CheckpointedAsynchronously;
+import
org.apache.flink.streaming.api.functions.source.RichParallelSourceFunction;
+import org.apache.flink.streaming.api.watermark.Watermark;
+import
org.apache.flink.streaming.connectors.kinesis.config.KinesisConfigConstants;
+import
org.apache.flink.streaming.connectors.kinesis.internals.KinesisDataFetcher;
+import
org.apache.flink.streaming.connectors.kinesis.config.CredentialProviderType;
+import
org.apache.flink.streaming.connectors.kinesis.config.InitialPosition;
+import
org.apache.flink.streaming.connectors.kinesis.model.KinesisStreamShard;
+import
org.apache.flink.streaming.connectors.kinesis.model.SentinelSequenceNumber;
+import org.apache.flink.streaming.connectors.kinesis.proxy.KinesisProxy;
+import
org.apache.flink.streaming.connectors.kinesis.serialization.KinesisDeserializationSchemaWrapper;
+import
org.apache.flink.streaming.connectors.kinesis.serialization.KinesisDeserializationSchema;
+import org.apache.flink.streaming.connectors.kinesis.util.AWSUtil;
+import org.apache.flink.streaming.util.serialization.DeserializationSchema;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.io.IOException;
+import java.util.Collections;
+import java.util.Map;
+import java.util.HashMap;
+import java.util.List;
+import java.util.ArrayList;
+import java.util.Properties;
+
+import static com.google.common.base.Preconditions.checkArgument;
+import static com.google.common.base.Preconditions.checkNotNull;
+
+/**
+ * The Flink Kinesis Consumer is a parallel streaming data source that
pulls data from multiple AWS Kinesis streams
+ * within the same AWS service region. Each instance of the consumer is
responsible for fetching data records from
+ * one or more Kinesis shards.
+ *
+ * <p>To leverage Flink's checkpointing mechanics for exactly-once
streaming processing guarantees, the Flink Kinesis
+ * consumer is implemented with the AWS Java SDK, instead of the
officially recommended AWS Kinesis Client Library, for
+ * low-level control on the management of stream state. The Flink Kinesis
Connector also supports setting the initial
+ * starting points of Kinesis streams, namely TRIM_HORIZON and LATEST:</p>
+ *
+ * <ul>
+ * </ul>
+ *
+ * <p><b>NOTE:</b> The current implementation does not correctly handle
resharding of AWS Kinesis streams.</p>
+ * <p><b>NOTE:</b> Since Kinesis and Kafka share many common abstractions,
the implementation is heavily based on
+ * the Flink Kafka Consumer.</p>
+ *
+ * @param <T> the type of data emitted
+ */
+public class FlinkKinesisConsumer<T> extends RichParallelSourceFunction<T>
+ implements CheckpointListener,
CheckpointedAsynchronously<HashMap<KinesisStreamShard, String>>,
ResultTypeQueryable<T> {
+
+ private static final long serialVersionUID = 1L;
+
+ private static final Logger LOG =
LoggerFactory.getLogger(FlinkKinesisConsumer.class);
+
+ //
------------------------------------------------------------------------
+ // Consumer properties
+ //
------------------------------------------------------------------------
+
+ /** The complete list of shards */
+ private final List<KinesisStreamShard> shards;
+
+ /** Properties to parametrize settings such as AWS service region,
initial position in stream,
+ * shard list retrieval behaviours, etc */
+ private final Properties configProps;
+
+ /** User supplied deseriliazation schema to convert Kinesis byte
messages to Flink objects */
+ private final KinesisDeserializationSchema<T> deserializer;
+
+ //
------------------------------------------------------------------------
+ // Runtime state
+ //
------------------------------------------------------------------------
+
+ /** Per-task fetcher for Kinesis data records, where each fetcher pulls
data from one or more Kinesis shards */
+ private transient KinesisDataFetcher fetcher;
+
+ /** The sequence numbers of the last fetched data records from Kinesis
by this task */
+ private transient HashMap<KinesisStreamShard, String> lastSequenceNums;
+
+ /** The sequence numbers to restore to upon restore from failure */
+ private transient HashMap<KinesisStreamShard, String>
sequenceNumsToRestore;
+
+ private volatile boolean hasAssignedShards;
+
+ private volatile boolean running = true;
+
+
+ //
------------------------------------------------------------------------
+ // Constructors
+ //
------------------------------------------------------------------------
+
+ /**
+ * Creates a new Flink Kinesis Consumer.
+ *
+ * <p>The AWS credentials to be used, AWS region of the Kinesis
streams, initial position to start streaming
+ * from are configured with a {@link Properties} instance.</p>
+ *
+ * @param stream
+ * The single AWS Kinesis stream to read from.
+ * @param deserializer
+ * The deserializer used to convert raw bytes of Kinesis
records to Java objects (without key).
+ * @param configProps
+ * The properties used to configure AWS credentials, AWS
region, and initial starting position.
+ */
+ public FlinkKinesisConsumer(String stream, DeserializationSchema<T>
deserializer, Properties configProps) {
+ this(stream, new
KinesisDeserializationSchemaWrapper<T>(deserializer), configProps);
+ }
+
+ /**
+ * Creates a new Flink Kinesis Consumer.
+ *
+ * <p>The AWS credentials to be used, AWS region of the Kinesis
streams, initial position to start streaming
+ * from are configured with a {@link Properties} instance.</p>
+ *
+ * @param stream
+ * The single AWS Kinesis stream to read from.
+ * @param deserializer
+ * The keyed deserializer used to convert raw bytes of
Kinesis records to Java objects.
+ * @param configProps
+ * The properties used to configure AWS credentials, AWS
region, and initial starting position.
+ */
+ public FlinkKinesisConsumer(String stream,
KinesisDeserializationSchema<T> deserializer, Properties configProps) {
+ this(Collections.singletonList(stream), deserializer,
configProps);
+ }
+
+ /**
+ * Creates a new Flink Kinesis Consumer.
+ *
+ * <p>The AWS credentials to be used, AWS region of the Kinesis
streams, initial position to start streaming
+ * from are configured with a {@link Properties} instance.</p>
+ *
+ * @param streams
+ * The AWS Kinesis streams to read from.
+ * @param deserializer
+ * The keyed deserializer used to convert raw bytes of
Kinesis records to Java objects.
+ * @param configProps
+ * The properties used to configure AWS credentials, AWS
region, and initial starting position.
+ */
+ public FlinkKinesisConsumer(List<String> streams,
KinesisDeserializationSchema<T> deserializer, Properties configProps) {
+ checkNotNull(streams, "streams can not be null");
+
+ this.configProps = checkNotNull(configProps, "configProps can
not be null");
+
+ // check the configuration properties for any conflicting
settings
+ validatePropertiesConfig(this.configProps);
+
+ this.deserializer = checkNotNull(deserializer, "deserializer
can not be null");
+
+ this.shards = new
KinesisProxy(configProps).getShardList(streams);
+ if (shards.size() == 0) {
+ throw new RuntimeException("Unable to retrieve any
shards for the requested streams " + streams.toString() + ".");
+ }
+
+ if (LOG.isInfoEnabled()) {
+ Map<String, Integer> shardCountPerStream = new
HashMap<>();
+ for (KinesisStreamShard shard : shards) {
+ Integer shardCount =
shardCountPerStream.get(shard.getStreamName());
+ if (shardCount == null) {
+ shardCount = 1;
+ } else {
+ shardCount++;
+ }
+ shardCountPerStream.put(shard.getStreamName(),
shardCount);
+ }
+ StringBuilder sb = new StringBuilder();
+ for (Map.Entry<String,Integer> streamAndShardCountPair
: shardCountPerStream.entrySet()) {
+
sb.append(streamAndShardCountPair.getKey()).append("
(").append(streamAndShardCountPair.getValue()).append("), ");
+ }
+ LOG.info("Flink Kinesis Consumer is going to read the
following streams (with number of shards): {}", sb.toString());
+ }
+ }
+
+ //
------------------------------------------------------------------------
+ // Source life cycle
+ //
------------------------------------------------------------------------
+
+ @Override
+ public void open(Configuration parameters) throws Exception {
+ super.open(parameters);
+
+ final int numFlinkConsumerTasks =
getRuntimeContext().getNumberOfParallelSubtasks();
+ final int thisConsumerTaskIndex =
getRuntimeContext().getIndexOfThisSubtask();
+
+ // pick which shards this consumer task works on, in a
round-robin fashion
+ List<KinesisStreamShard> assignedShards =
assignShards(this.shards, numFlinkConsumerTasks, thisConsumerTaskIndex);
+
+ // if there are no shards assigned to this consumer task,
return without doing anything.
+ if (assignedShards.isEmpty()) {
+ LOG.info("Consumer task {} has no shards assigned to
it", thisConsumerTaskIndex);
+ hasAssignedShards = false;
+ return;
+ } else {
+ hasAssignedShards = true;
+ }
+
+ if (LOG.isInfoEnabled()) {
+ StringBuilder sb = new StringBuilder();
+ for (KinesisStreamShard shard : assignedShards) {
+
sb.append(shard.getStreamName()).append(":").append(shard.getShardId()).append(",
");
+ }
+ LOG.info("Consumer task {} will read shards {} out of a
total of {} shards",
+ thisConsumerTaskIndex, sb.toString(),
this.shards.size());
+ }
+
+ fetcher = new KinesisDataFetcher(assignedShards, configProps,
getRuntimeContext().getTaskName());
+
+ // restore to the last known sequence numbers from the latest
complete snapshot
+ if (sequenceNumsToRestore != null) {
+ if (LOG.isInfoEnabled()) {
+ LOG.info("Consumer task {} is restoring
sequence numbers from previous checkpointed state", thisConsumerTaskIndex);
+ }
+
+ for (Map.Entry<KinesisStreamShard, String>
restoreSequenceNum : sequenceNumsToRestore.entrySet()) {
+ // advance the corresponding shard to the last
known sequence number
+
fetcher.advanceSequenceNumberTo(restoreSequenceNum.getKey(),
restoreSequenceNum.getValue());
+ }
+
+ if (LOG.isInfoEnabled()) {
+ StringBuilder sb = new StringBuilder();
+ for (Map.Entry<KinesisStreamShard, String>
restoreSequenceNo : sequenceNumsToRestore.entrySet()) {
+ KinesisStreamShard shard =
restoreSequenceNo.getKey();
+
sb.append(shard.getStreamName()).append(":").append(shard.getShardId())
+ .append(" ->
").append(restoreSequenceNo.getValue()).append(", ");
+ }
+ LOG.info("Advanced the starting sequence
numbers of consumer task {}: {}", thisConsumerTaskIndex, sb.toString());
+ }
+
+ // initialize sequence numbers with restored state
+ lastSequenceNums = sequenceNumsToRestore;
+ sequenceNumsToRestore = null;
+ } else {
+ // start fresh with empty sequence numbers if there are
no snapshots to restore from.
+ lastSequenceNums = new HashMap<>();
+
+ // advance all assigned shards of this consumer task to
either the earliest or latest sequence number,
+ // depending on the properties configuration (default
is to set to latest sequence number).
+ InitialPosition initialPosition =
InitialPosition.valueOf(configProps.getProperty(
+
KinesisConfigConstants.CONFIG_STREAM_INIT_POSITION_TYPE,
InitialPosition.LATEST.toString()));
+
+ SentinelSequenceNumber sentinelSequenceNum;
+ switch (initialPosition) {
+ case TRIM_HORIZON:
+ sentinelSequenceNum =
SentinelSequenceNumber.SENTINEL_EARLIEST_SEQUENCE_NUM;
+ break;
+ case LATEST:
+ default:
+ sentinelSequenceNum =
SentinelSequenceNumber.SENTINEL_LATEST_SEQUENCE_NUM;
+ }
+
+ for (KinesisStreamShard assignedShard : assignedShards)
{
+ fetcher.advanceSequenceNumberTo(assignedShard,
sentinelSequenceNum.toString());
+ }
+
+ if (LOG.isInfoEnabled()) {
+ StringBuilder sb = new StringBuilder();
+ for (KinesisStreamShard assignedShard :
assignedShards) {
+
sb.append(assignedShard.getStreamName()).append(":").append(assignedShard.getShardId())
+ .append(" ->
").append(sentinelSequenceNum.toString()).append(", ");
+ }
+ LOG.info("Advanced the starting sequence
numbers of consumer task {}: {}", thisConsumerTaskIndex, sb.toString());
+ }
+ }
+ }
+
+ @Override
+ public void run(SourceContext<T> sourceContext) throws Exception {
+ if (hasAssignedShards) {
+ fetcher.run(sourceContext, deserializer,
lastSequenceNums);
+ } else {
+ // this source never completes because there is no
assigned shards,
+ // so emit a Long.MAX_VALUE watermark to no block
watermark forwarding
+ sourceContext.emitWatermark(new
Watermark(Long.MAX_VALUE));
+
+ final Object waitLock = new Object();
+ while (running) {
+ try {
+ synchronized (waitLock) {
+ waitLock.wait();
+ }
+ } catch (InterruptedException e) {
+ // do nothing
+ }
+ }
+ }
+
+ sourceContext.close();
+ }
+
+ @Override
+ public void cancel() {
+ running = false;
+
+ // interrupt the fetcher of any work
+ KinesisDataFetcher fetcher = this.fetcher;
+ this.fetcher = null;
+ if (fetcher != null) {
+ try {
+ fetcher.close();
+ } catch (IOException e) {
+ LOG.warn("Error while closing Kinesis data
fetcher", e);
+ }
+ }
+ }
+
+ @Override
+ public void close() throws Exception {
+ cancel();
+ super.close();
+ }
+
+ @Override
+ public TypeInformation<T> getProducedType() {
+ return deserializer.getProducedType();
+ }
+
+ //
------------------------------------------------------------------------
+ // Checkpoint and restore
+ //
------------------------------------------------------------------------
+
+ @Override
+ public HashMap<KinesisStreamShard, String> snapshotState(long
checkpointId, long checkpointTimestamp) throws Exception {
+ if (lastSequenceNums == null) {
+ LOG.debug("snapshotState() requested on not yet opened
source; returning null.");
+ return null;
+ }
+
+ if (!running) {
+ LOG.debug("snapshotState() called on closed source;
returning null.");
+ return null;
+ }
+
+ if (LOG.isDebugEnabled()) {
+ LOG.debug("Snapshotting state. ...");
+ }
+
+ @SuppressWarnings("unchecked")
+ HashMap<KinesisStreamShard, String> currentSequenceNums =
(HashMap<KinesisStreamShard, String>) lastSequenceNums.clone();
+ return currentSequenceNums;
+ }
+
+ @Override
+ public void restoreState(HashMap<KinesisStreamShard, String>
restoredState) throws Exception {
+ sequenceNumsToRestore = restoredState;
+ }
+
+ @Override
+ public void notifyCheckpointComplete(long checkpointId) throws
Exception {
--- End diff --
This method can be removed (along with its interface).
Its just logging debug info's logged by the `Task` as well.
In the future, if we add support for committing into Dynamodb or Zookeeper,
we might re-introduce the method.
> Kinesis streaming consumer with integration of Flink's checkpointing mechanics
> ------------------------------------------------------------------------------
>
> Key: FLINK-3229
> URL: https://issues.apache.org/jira/browse/FLINK-3229
> Project: Flink
> Issue Type: Sub-task
> Components: Streaming Connectors
> Affects Versions: 1.0.0
> Reporter: Tzu-Li (Gordon) Tai
> Assignee: Tzu-Li (Gordon) Tai
>
> Opening a sub-task to implement data source consumer for Kinesis streaming
> connector (https://issues.apache.org/jira/browser/FLINK-3211).
> An example of the planned user API for Flink Kinesis Consumer:
> {code}
> Properties kinesisConfig = new Properties();
> config.put(KinesisConfigConstants.CONFIG_AWS_REGION, "us-east-1");
> config.put(KinesisConfigConstants.CONFIG_AWS_CREDENTIALS_PROVIDER_TYPE,
> "BASIC");
> config.put(
> KinesisConfigConstants.CONFIG_AWS_CREDENTIALS_PROVIDER_BASIC_ACCESSKEYID,
> "aws_access_key_id_here");
> config.put(
> KinesisConfigConstants.CONFIG_AWS_CREDENTIALS_PROVIDER_BASIC_SECRETKEY,
> "aws_secret_key_here");
> config.put(KinesisConfigConstants.CONFIG_STREAM_INIT_POSITION_TYPE,
> "LATEST"); // or TRIM_HORIZON
> DataStream<T> kinesisRecords = env.addSource(new FlinkKinesisConsumer<>(
> "kinesis_stream_name",
> new SimpleStringSchema(),
> kinesisConfig));
> {code}
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