hadoop DataNodePeerMetrics 源码
haddop DataNodePeerMetrics 代码
文件路径:/hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/server/datanode/metrics/DataNodePeerMetrics.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.hdfs.server.datanode.metrics;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.classification.VisibleForTesting;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hdfs.server.protocol.OutlierMetrics;
import org.apache.hadoop.metrics2.MetricsJsonBuilder;
import org.apache.hadoop.metrics2.lib.MutableRollingAverages;
import org.apache.hadoop.util.Preconditions;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.Map;
import java.util.concurrent.ThreadLocalRandom;
import static org.apache.hadoop.hdfs.DFSConfigKeys.DFS_DATANODE_MIN_OUTLIER_DETECTION_NODES_DEFAULT;
import static org.apache.hadoop.hdfs.DFSConfigKeys.DFS_DATANODE_MIN_OUTLIER_DETECTION_NODES_KEY;
import static org.apache.hadoop.hdfs.DFSConfigKeys.DFS_DATANODE_PEER_METRICS_MIN_OUTLIER_DETECTION_SAMPLES_DEFAULT;
import static org.apache.hadoop.hdfs.DFSConfigKeys.DFS_DATANODE_PEER_METRICS_MIN_OUTLIER_DETECTION_SAMPLES_KEY;
import static org.apache.hadoop.hdfs.DFSConfigKeys.DFS_DATANODE_SLOWPEER_LOW_THRESHOLD_MS_DEFAULT;
import static org.apache.hadoop.hdfs.DFSConfigKeys.DFS_DATANODE_SLOWPEER_LOW_THRESHOLD_MS_KEY;
/**
* This class maintains DataNode peer metrics (e.g. numOps, AvgTime, etc.) for
* various peer operations.
*/
@InterfaceAudience.Private
@InterfaceStability.Unstable
public class DataNodePeerMetrics {
public static final Logger LOG = LoggerFactory.getLogger(
DataNodePeerMetrics.class);
private final MutableRollingAverages sendPacketDownstreamRollingAverages;
private final String name;
// Strictly to be used by test code only. Source code is not supposed to use this.
private Map<String, OutlierMetrics> testOutlier = null;
private final OutlierDetector slowNodeDetector;
/**
* Minimum number of packet send samples which are required to qualify
* for outlier detection. If the number of samples is below this then
* outlier detection is skipped.
*/
private volatile long minOutlierDetectionSamples;
/**
* Threshold in milliseconds below which a DataNode is definitely not slow.
*/
private volatile long lowThresholdMs;
/**
* Minimum number of nodes to run outlier detection.
*/
private volatile long minOutlierDetectionNodes;
public DataNodePeerMetrics(final String name, Configuration conf) {
this.name = name;
minOutlierDetectionSamples = conf.getLong(
DFS_DATANODE_PEER_METRICS_MIN_OUTLIER_DETECTION_SAMPLES_KEY,
DFS_DATANODE_PEER_METRICS_MIN_OUTLIER_DETECTION_SAMPLES_DEFAULT);
lowThresholdMs =
conf.getLong(DFS_DATANODE_SLOWPEER_LOW_THRESHOLD_MS_KEY,
DFS_DATANODE_SLOWPEER_LOW_THRESHOLD_MS_DEFAULT);
minOutlierDetectionNodes =
conf.getLong(DFS_DATANODE_MIN_OUTLIER_DETECTION_NODES_KEY,
DFS_DATANODE_MIN_OUTLIER_DETECTION_NODES_DEFAULT);
this.slowNodeDetector =
new OutlierDetector(minOutlierDetectionNodes, lowThresholdMs);
sendPacketDownstreamRollingAverages = new MutableRollingAverages("Time");
}
public String name() {
return name;
}
public long getMinOutlierDetectionSamples() {
return minOutlierDetectionSamples;
}
/**
* Creates an instance of DataNodePeerMetrics, used for registration.
*/
public static DataNodePeerMetrics create(String dnName, Configuration conf) {
final String name = "DataNodePeerActivity-" + (dnName.isEmpty()
? "UndefinedDataNodeName" + ThreadLocalRandom.current().nextInt()
: dnName.replace(':', '-'));
return new DataNodePeerMetrics(name, conf);
}
/**
* Adds invocation and elapsed time of SendPacketDownstream for peer.
* <p>
* The caller should pass in a well-formatted peerAddr. e.g.
* "[192.168.1.110:1010]" is good. This will be translated into a full
* qualified metric name, e.g. "[192.168.1.110:1010]AvgTime".
* </p>
*/
public void addSendPacketDownstream(
final String peerAddr,
final long elapsedMs) {
sendPacketDownstreamRollingAverages.add(peerAddr, elapsedMs);
}
/**
* Dump SendPacketDownstreamRollingAvgTime metrics as JSON.
*/
public String dumpSendPacketDownstreamAvgInfoAsJson() {
final MetricsJsonBuilder builder = new MetricsJsonBuilder(null);
sendPacketDownstreamRollingAverages.snapshot(builder, true);
return builder.toString();
}
/**
* Collects states maintained in {@link ThreadLocal}, if any.
*/
public void collectThreadLocalStates() {
sendPacketDownstreamRollingAverages.collectThreadLocalStates();
}
/**
* Retrieve the set of dataNodes that look significantly slower
* than their peers.
*/
public Map<String, OutlierMetrics> getOutliers() {
// outlier must be null for source code.
if (testOutlier == null) {
// This maps the metric name to the aggregate latency.
// The metric name is the datanode ID.
final Map<String, Double> stats =
sendPacketDownstreamRollingAverages.getStats(minOutlierDetectionSamples);
LOG.trace("DataNodePeerMetrics: Got stats: {}", stats);
return slowNodeDetector.getOutlierMetrics(stats);
} else {
// this happens only for test code.
return testOutlier;
}
}
/**
* Strictly to be used by test code only. Source code is not supposed to use this. This method
* directly sets outlier mapping so that aggregate latency metrics are not calculated for tests.
*
* @param outlier outlier directly set by tests.
*/
public void setTestOutliers(Map<String, OutlierMetrics> outlier) {
this.testOutlier = outlier;
}
public MutableRollingAverages getSendPacketDownstreamRollingAverages() {
return sendPacketDownstreamRollingAverages;
}
public void setMinOutlierDetectionNodes(long minNodes) {
Preconditions.checkArgument(minNodes > 0,
DFS_DATANODE_MIN_OUTLIER_DETECTION_NODES_KEY + " should be larger than 0");
minOutlierDetectionNodes = minNodes;
this.slowNodeDetector.setMinNumResources(minNodes);
}
public long getMinOutlierDetectionNodes() {
return minOutlierDetectionNodes;
}
public void setLowThresholdMs(long thresholdMs) {
Preconditions.checkArgument(thresholdMs > 0,
DFS_DATANODE_SLOWPEER_LOW_THRESHOLD_MS_KEY + " should be larger than 0");
lowThresholdMs = thresholdMs;
this.slowNodeDetector.setLowThresholdMs(thresholdMs);
}
public long getLowThresholdMs() {
return lowThresholdMs;
}
public void setMinOutlierDetectionSamples(long minSamples) {
Preconditions.checkArgument(minSamples > 0,
DFS_DATANODE_PEER_METRICS_MIN_OUTLIER_DETECTION_SAMPLES_KEY +
" should be larger than 0");
minOutlierDetectionSamples = minSamples;
}
@VisibleForTesting
public OutlierDetector getSlowNodeDetector() {
return this.slowNodeDetector;
}
}
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