hadoop TimelineCollectionWriter 源码
haddop TimelineCollectionWriter 代码
文件路径:/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-timelineservice-documentstore/src/main/java/org/apache/hadoop/yarn/server/timelineservice/documentstore/writer/TimelineCollectionWriter.java
/**
* 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.hadoop.yarn.server.timelineservice.documentstore.writer;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.util.Time;
import org.apache.hadoop.yarn.conf.YarnConfiguration;
import org.apache.hadoop.yarn.exceptions.YarnException;
import org.apache.hadoop.yarn.server.timelineservice.documentstore.collection.CollectionType;
import org.apache.hadoop.yarn.server.timelineservice.documentstore.collection.document.TimelineDocument;
import org.apache.hadoop.yarn.server.timelineservice.documentstore.lib.DocumentStoreFactory;
import org.apache.hadoop.yarn.server.timelineservice.documentstore.lib.DocumentStoreVendor;
import org.apache.hadoop.yarn.server.timelineservice.metrics.PerNodeAggTimelineCollectorMetrics;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.TimeUnit;
/**
* This is a generic Collection Writer that can be used for writing documents
* belonging to different {@link CollectionType} under a specific
* {@link DocumentStoreVendor} backend.
*/
public class TimelineCollectionWriter<Document extends TimelineDocument> {
private static final Logger LOG = LoggerFactory
.getLogger(TimelineCollectionWriter.class);
private final static String DOCUMENT_BUFFER_SIZE_CONF =
"yarn.timeline-service.document-buffer.size";
private static final int DEFAULT_BUFFER_SIZE = 1024;
private static final int AWAIT_TIMEOUT_SECS = 5;
private static final PerNodeAggTimelineCollectorMetrics METRICS =
PerNodeAggTimelineCollectorMetrics.getInstance();
private final CollectionType collectionType;
private final DocumentStoreWriter<Document> documentStoreWriter;
private final Map<String, Document> documentsBuffer;
private final int maxBufferSize;
private final ScheduledExecutorService scheduledDocumentsFlusher;
private final ExecutorService documentsBufferFullFlusher;
public TimelineCollectionWriter(CollectionType collectionType,
Configuration conf) throws YarnException {
LOG.info("Initializing TimelineCollectionWriter for collection type : {}",
collectionType);
int flushIntervalSecs = conf.getInt(
YarnConfiguration.TIMELINE_SERVICE_WRITER_FLUSH_INTERVAL_SECONDS,
YarnConfiguration
.DEFAULT_TIMELINE_SERVICE_WRITER_FLUSH_INTERVAL_SECONDS);
maxBufferSize = conf.getInt(DOCUMENT_BUFFER_SIZE_CONF, DEFAULT_BUFFER_SIZE);
documentsBuffer = new HashMap<>(maxBufferSize);
this.collectionType = collectionType;
documentStoreWriter = DocumentStoreFactory.createDocumentStoreWriter(conf);
scheduledDocumentsFlusher = Executors.newSingleThreadScheduledExecutor();
scheduledDocumentsFlusher.scheduleAtFixedRate(this::flush,
flushIntervalSecs, flushIntervalSecs, TimeUnit.SECONDS);
documentsBufferFullFlusher = Executors.newSingleThreadExecutor();
}
@SuppressWarnings("unchecked")
public void writeDocument(Document timelineDocument) {
/*
* The DocumentBuffer is used to buffer the most frequently used
* documents for performing upserts on them, whenever either due to
* buffer gets fulled or the scheduledDocumentsFlusher
* invokes flush() periodically, all the buffered documents would be written
* to DocumentStore in a background thread.
*/
long startTime = Time.monotonicNow();
synchronized(documentsBuffer) {
//if buffer is full copy to flushBuffer in order to flush
if (documentsBuffer.size() == maxBufferSize) {
final Map<String, Document> flushedBuffer = copyToFlushBuffer();
//flush all documents from flushBuffer in background
documentsBufferFullFlusher.execute(() -> flush(flushedBuffer));
}
Document prevDocument = documentsBuffer.get(timelineDocument.getId());
// check if Document exists inside documentsBuffer
if (prevDocument != null) {
prevDocument.merge(timelineDocument);
} else { // else treat this as a new document
prevDocument = timelineDocument;
}
documentsBuffer.put(prevDocument.getId(), prevDocument);
}
METRICS.addAsyncPutEntitiesLatency(Time.monotonicNow() - startTime,
true);
}
private Map<String, Document> copyToFlushBuffer() {
Map<String, Document> flushBuffer = new HashMap<>();
synchronized(documentsBuffer) {
if (documentsBuffer.size() > 0) {
flushBuffer.putAll(documentsBuffer);
documentsBuffer.clear();
}
}
return flushBuffer;
}
private void flush(Map<String, Document> flushBuffer) {
for (Document document : flushBuffer.values()) {
documentStoreWriter.writeDocument(document, collectionType);
}
}
public void flush() {
flush(copyToFlushBuffer());
}
public void close() throws Exception {
scheduledDocumentsFlusher.shutdown();
documentsBufferFullFlusher.shutdown();
flush();
scheduledDocumentsFlusher.awaitTermination(
AWAIT_TIMEOUT_SECS, TimeUnit.SECONDS);
documentsBufferFullFlusher.awaitTermination(
AWAIT_TIMEOUT_SECS, TimeUnit.SECONDS);
documentStoreWriter.close();
}
}
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