HDFS-10959. Update DataNode to use DatasetVolumeChecker. Contributed by Xiaoyu Yao.

This commit is contained in:
Arpit Agarwal 2017-01-16 14:31:39 -08:00
parent 2d6be7ea23
commit 413dccaf78
10 changed files with 672 additions and 42 deletions

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@ -0,0 +1,110 @@
/**
* 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
* <p>
* http://www.apache.org/licenses/LICENSE-2.0
* <p>
* 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;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.hdfs.server.datanode.fsdataset.DataNodeVolumeMetrics;
import org.apache.hadoop.hdfs.server.datanode.fsdataset.FsVolumeSpi;
import org.apache.hadoop.util.Time;
import javax.annotation.Nullable;
/**
* {@link FileIoEvents} that profiles the performance of the metadata and data
* related operations on datanode volumes.
*/
@InterfaceAudience.Private
class ProfilingFileIoEvents implements FileIoEvents {
@Override
public long beforeMetadataOp(@Nullable FsVolumeSpi volume,
FileIoProvider.OPERATION op) {
DataNodeVolumeMetrics metrics = getVolumeMetrics(volume);
if (metrics != null) {
return Time.monotonicNow();
}
return 0;
}
@Override
public void afterMetadataOp(@Nullable FsVolumeSpi volume,
FileIoProvider.OPERATION op, long begin) {
DataNodeVolumeMetrics metrics = getVolumeMetrics(volume);
if (metrics != null) {
metrics.addMetadastaOperationLatency(Time.monotonicNow() - begin);
}
}
@Override
public long beforeFileIo(@Nullable FsVolumeSpi volume,
FileIoProvider.OPERATION op, long len) {
DataNodeVolumeMetrics metrics = getVolumeMetrics(volume);
if (metrics != null) {
return Time.monotonicNow();
}
return 0;
}
@Override
public void afterFileIo(@Nullable FsVolumeSpi volume,
FileIoProvider.OPERATION op, long begin, long len) {
DataNodeVolumeMetrics metrics = getVolumeMetrics(volume);
if (metrics != null) {
long latency = Time.monotonicNow() - begin;
metrics.addDataFileIoLatency(latency);
switch (op) {
case SYNC:
metrics.addSyncIoLatency(latency);
break;
case FLUSH:
metrics.addFlushIoLatency(latency);
break;
case READ:
metrics.addReadIoLatency(latency);
break;
case WRITE:
metrics.addWriteIoLatency(latency);
break;
default:
}
}
}
@Override
public void onFailure(@Nullable FsVolumeSpi volume,
FileIoProvider.OPERATION op, Exception e, long begin) {
DataNodeVolumeMetrics metrics = getVolumeMetrics(volume);
if (metrics != null) {
metrics.addFileIoError(Time.monotonicNow() - begin);
}
}
@Nullable
@Override
public String getStatistics() {
return null;
}
private DataNodeVolumeMetrics getVolumeMetrics(final FsVolumeSpi volume) {
if (volume != null) {
return volume.getMetrics();
}
return null;
}
}

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@ -0,0 +1,289 @@
/**
* 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.fsdataset;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hdfs.DFSConfigKeys;
import org.apache.hadoop.metrics2.MetricsSystem;
import org.apache.hadoop.metrics2.annotation.Metric;
import org.apache.hadoop.metrics2.annotation.Metrics;
import org.apache.hadoop.metrics2.lib.DefaultMetricsSystem;
import org.apache.hadoop.metrics2.lib.MetricsRegistry;
import org.apache.hadoop.metrics2.lib.MutableCounterLong;
import org.apache.hadoop.metrics2.lib.MutableQuantiles;
import org.apache.hadoop.metrics2.lib.MutableRate;
import java.util.concurrent.ThreadLocalRandom;
/**
* This class is for maintaining Datanode Volume IO related statistics and
* publishing them through the metrics interfaces.
*/
@InterfaceAudience.Private
@InterfaceStability.Evolving
@Metrics(name = "DataNodeVolume", about = "DataNode Volume metrics",
context = "dfs")
public class DataNodeVolumeMetrics {
private final MetricsRegistry registry = new MetricsRegistry("FsVolume");
@Metric("number of metadata operations")
private MutableCounterLong totalMetadataOperations;
@Metric("metadata operation rate")
private MutableRate metadataOperationRate;
private MutableQuantiles[] metadataOperationLatencyQuantiles;
@Metric("number of data file io operations")
private MutableCounterLong totalDataFileIos;
@Metric("data file io operation rate")
private MutableRate dataFileIoRate;
private MutableQuantiles[] dataFileIoLatencyQuantiles;
@Metric("file io flush rate")
private MutableRate flushIoRate;
private MutableQuantiles[] flushIoLatencyQuantiles;
@Metric("file io sync rate")
private MutableRate syncIoRate;
private MutableQuantiles[] syncIoLatencyQuantiles;
@Metric("file io read rate")
private MutableRate readIoRate;
private MutableQuantiles[] readIoLatencyQuantiles;
@Metric("file io write rate")
private MutableRate writeIoRate;
private MutableQuantiles[] writeIoLatencyQuantiles;
@Metric("number of file io errors")
private MutableCounterLong totalFileIoErrors;
@Metric("file io error rate")
private MutableRate fileIoErrorRate;
public long getTotalMetadataOperations() {
return totalMetadataOperations.value();
}
// Based on metadataOperationRate
public long getMetadataOperationSampleCount() {
return metadataOperationRate.lastStat().numSamples();
}
public double getMetadataOperationMean() {
return metadataOperationRate.lastStat().mean();
}
public double getMetadataOperationStdDev() {
return metadataOperationRate.lastStat().stddev();
}
public long getTotalDataFileIos() {
return totalDataFileIos.value();
}
// Based on dataFileIoRate
public long getDataFileIoSampleCount() {
return dataFileIoRate.lastStat().numSamples();
}
public double getDataFileIoMean() {
return dataFileIoRate.lastStat().mean();
}
public double getDataFileIoStdDev() {
return dataFileIoRate.lastStat().stddev();
}
// Based on flushIoRate
public long getFlushIoSampleCount() {
return flushIoRate.lastStat().numSamples();
}
public double getFlushIoMean() {
return flushIoRate.lastStat().mean();
}
public double getFlushIoStdDev() {
return flushIoRate.lastStat().stddev();
}
// Based on syncIoRate
public long getSyncIoSampleCount() {
return syncIoRate.lastStat().numSamples();
}
public double getSyncIoMean() {
return syncIoRate.lastStat().mean();
}
public double getSyncIoStdDev() {
return syncIoRate.lastStat().stddev();
}
// Based on readIoRate
public long getReadIoSampleCount() {
return readIoRate.lastStat().numSamples();
}
public double getReadIoMean() {
return readIoRate.lastStat().mean();
}
public double getReadIoStdDev() {
return readIoRate.lastStat().stddev();
}
// Based on writeIoRate
public long getWriteIoSampleCount() {
return syncIoRate.lastStat().numSamples();
}
public double getWriteIoMean() {
return syncIoRate.lastStat().mean();
}
public double getWriteIoStdDev() {
return syncIoRate.lastStat().stddev();
}
public long getTotalFileIoErrors() {
return totalFileIoErrors.value();
}
// Based on fileIoErrorRate
public long getFileIoErrorSampleCount() {
return fileIoErrorRate.lastStat().numSamples();
}
public double getFileIoErrorMean() {
return fileIoErrorRate.lastStat().mean();
}
public double getFileIoErrorStdDev() {
return fileIoErrorRate.lastStat().stddev();
}
private final String name;
private final MetricsSystem ms;
public DataNodeVolumeMetrics(final MetricsSystem metricsSystem,
final String volumeName, final int[] intervals) {
this.ms = metricsSystem;
this.name = volumeName;
final int len = intervals.length;
metadataOperationLatencyQuantiles = new MutableQuantiles[len];
dataFileIoLatencyQuantiles = new MutableQuantiles[len];
flushIoLatencyQuantiles = new MutableQuantiles[len];
syncIoLatencyQuantiles = new MutableQuantiles[len];
readIoLatencyQuantiles = new MutableQuantiles[len];
writeIoLatencyQuantiles = new MutableQuantiles[len];
for (int i = 0; i < len; i++) {
int interval = intervals[i];
metadataOperationLatencyQuantiles[i] = registry.newQuantiles(
"metadataOperationLatency" + interval + "s",
"Meatadata Operation Latency in ms", "ops", "latency", interval);
dataFileIoLatencyQuantiles[i] = registry.newQuantiles(
"dataFileIoLatency" + interval + "s",
"Data File Io Latency in ms", "ops", "latency", interval);
flushIoLatencyQuantiles[i] = registry.newQuantiles(
"flushIoLatency" + interval + "s",
"Data flush Io Latency in ms", "ops", "latency", interval);
syncIoLatencyQuantiles[i] = registry.newQuantiles(
"syncIoLatency" + interval + "s",
"Data sync Io Latency in ms", "ops", "latency", interval);
readIoLatencyQuantiles[i] = registry.newQuantiles(
"readIoLatency" + interval + "s",
"Data read Io Latency in ms", "ops", "latency", interval);
writeIoLatencyQuantiles[i] = registry.newQuantiles(
"writeIoLatency" + interval + "s",
"Data write Io Latency in ms", "ops", "latency", interval);
}
}
public static DataNodeVolumeMetrics create(final Configuration conf,
final String volumeName) {
MetricsSystem ms = DefaultMetricsSystem.instance();
String name = "DataNodeVolume-"+ (volumeName.isEmpty()
? "UndefinedDataNodeVolume"+ ThreadLocalRandom.current().nextInt()
: volumeName.replace(':', '-'));
// Percentile measurement is off by default, by watching no intervals
int[] intervals =
conf.getInts(DFSConfigKeys.DFS_METRICS_PERCENTILES_INTERVALS_KEY);
return ms.register(name, null, new DataNodeVolumeMetrics(ms, name,
intervals));
}
public String name() {
return name;
}
public void unRegister() {
ms.unregisterSource(name);
}
public void addMetadastaOperationLatency(final long latency) {
totalMetadataOperations.incr();
metadataOperationRate.add(latency);
for (MutableQuantiles q : metadataOperationLatencyQuantiles) {
q.add(latency);
}
}
public void addDataFileIoLatency(final long latency) {
totalDataFileIos.incr();
dataFileIoRate.add(latency);
for (MutableQuantiles q : dataFileIoLatencyQuantiles) {
q.add(latency);
}
}
public void addSyncIoLatency(final long latency) {
syncIoRate.add(latency);
for (MutableQuantiles q : syncIoLatencyQuantiles) {
q.add(latency);
}
}
public void addFlushIoLatency(final long latency) {
flushIoRate.add(latency);
for (MutableQuantiles q : flushIoLatencyQuantiles) {
q.add(latency);
}
}
public void addReadIoLatency(final long latency) {
readIoRate.add(latency);
for (MutableQuantiles q : readIoLatencyQuantiles) {
q.add(latency);
}
}
public void addWriteIoLatency(final long latency) {
writeIoRate.add(latency);
for (MutableQuantiles q: writeIoLatencyQuantiles) {
q.add(latency);
}
}
public void addFileIoError(final long latency) {
totalFileIoErrors.incr();
metadataOperationRate.add(latency);
}
}

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@ -210,4 +210,6 @@ public interface FsVolumeSpi
}
FileIoProvider getFileIoProvider();
DataNodeVolumeMetrics getMetrics();
}

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@ -47,6 +47,7 @@ import org.apache.hadoop.fs.StorageType;
import org.apache.hadoop.hdfs.server.datanode.FileIoProvider;
import org.apache.hadoop.hdfs.server.datanode.BlockMetadataHeader;
import org.apache.hadoop.hdfs.server.datanode.checker.VolumeCheckResult;
import org.apache.hadoop.hdfs.server.datanode.fsdataset.DataNodeVolumeMetrics;
import org.apache.hadoop.hdfs.server.datanode.fsdataset.FsDatasetSpi;
import org.apache.hadoop.util.AutoCloseableLock;
import org.apache.hadoop.hdfs.DFSConfigKeys;
@ -110,6 +111,7 @@ public class FsVolumeImpl implements FsVolumeSpi {
// query from the filesystem.
protected volatile long configuredCapacity;
private final FileIoProvider fileIoProvider;
private final DataNodeVolumeMetrics metrics;
/**
* Per-volume worker pool that processes new blocks to cache.
@ -137,6 +139,7 @@ public class FsVolumeImpl implements FsVolumeSpi {
this.fileIoProvider = dataset.datanode != null ?
dataset.datanode.getFileIoProvider() : new FileIoProvider(conf);
cacheExecutor = initializeCacheExecutor(parent);
this.metrics = DataNodeVolumeMetrics.create(conf, parent.getAbsolutePath());
}
protected ThreadPoolExecutor initializeCacheExecutor(File parent) {
@ -950,6 +953,9 @@ public class FsVolumeImpl implements FsVolumeSpi {
for (Entry<String, BlockPoolSlice> entry : set) {
entry.getValue().shutdown(null);
}
if (metrics != null) {
metrics.unRegister();
}
}
void addBlockPool(String bpid, Configuration conf) throws IOException {
@ -1105,4 +1111,10 @@ public class FsVolumeImpl implements FsVolumeSpi {
public FileIoProvider getFileIoProvider() {
return fileIoProvider;
}
@Override
public DataNodeVolumeMetrics getMetrics() {
return metrics;
}
}

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@ -22,7 +22,11 @@ package org.apache.hadoop.hdfs.server.datanode;
import java.io.File;
import java.io.IOException;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.ReconfigurationException;
import org.apache.hadoop.hdfs.DFSConfigKeys;
import org.apache.hadoop.hdfs.MiniDFSCluster;
import org.apache.hadoop.hdfs.protocol.DatanodeID;
import org.apache.hadoop.hdfs.server.datanode.fsdataset.FsDatasetSpi;
@ -30,12 +34,17 @@ import org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetTestUtil;
import org.apache.hadoop.hdfs.server.protocol.DatanodeRegistration;
import org.apache.hadoop.hdfs.server.protocol.InterDatanodeProtocol;
import static org.hamcrest.core.Is.is;
import static org.junit.Assert.assertThat;
/**
* Utility class for accessing package-private DataNode information during tests.
* Must not contain usage of classes that are not explicitly listed as
* dependencies to {@link MiniDFSCluster}.
*/
public class DataNodeTestUtils {
private static final Log LOG =
LogFactory.getLog(DataNodeTestUtils.class);
private static final String DIR_FAILURE_SUFFIX = ".origin";
public final static String TEST_CLUSTER_ID = "testClusterID";
@ -175,4 +184,34 @@ public class DataNodeTestUtils {
dn.getDirectoryScanner().reconcile();
}
}
/**
* Reconfigure a DataNode by setting a new list of volumes.
*
* @param dn DataNode to reconfigure
* @param newVols new volumes to configure
* @throws Exception if there is any failure
*/
public static void reconfigureDataNode(DataNode dn, File... newVols)
throws Exception {
StringBuilder dnNewDataDirs = new StringBuilder();
for (File newVol: newVols) {
if (dnNewDataDirs.length() > 0) {
dnNewDataDirs.append(',');
}
dnNewDataDirs.append(newVol.getAbsolutePath());
}
try {
assertThat(
dn.reconfigurePropertyImpl(
DFSConfigKeys.DFS_DATANODE_DATA_DIR_KEY,
dnNewDataDirs.toString()),
is(dn.getConf().get(DFSConfigKeys.DFS_DATANODE_DATA_DIR_KEY)));
} catch (ReconfigurationException e) {
// This can be thrown if reconfiguration tries to use a failed volume.
// We need to swallow the exception, because some of our tests want to
// cover this case.
LOG.warn("Could not reconfigure DataNode.", e);
}
}
}

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@ -45,6 +45,7 @@ import org.apache.hadoop.hdfs.protocol.BlockLocalPathInfo;
import org.apache.hadoop.hdfs.protocol.ExtendedBlock;
import org.apache.hadoop.hdfs.protocol.HdfsBlocksMetadata;
import org.apache.hadoop.hdfs.server.common.HdfsServerConstants.ReplicaState;
import org.apache.hadoop.hdfs.server.datanode.fsdataset.DataNodeVolumeMetrics;
import org.apache.hadoop.hdfs.server.datanode.fsdataset.FsDatasetSpi;
import org.apache.hadoop.hdfs.server.datanode.fsdataset.FsVolumeReference;
import org.apache.hadoop.hdfs.server.datanode.fsdataset.FsVolumeSpi;
@ -449,11 +450,14 @@ public class SimulatedFSDataset implements FsDatasetSpi<FsVolumeSpi> {
static class SimulatedVolume implements FsVolumeSpi {
private final SimulatedStorage storage;
private final FileIoProvider fileIoProvider;
private final DataNodeVolumeMetrics metrics;
SimulatedVolume(final SimulatedStorage storage,
final FileIoProvider fileIoProvider) {
final FileIoProvider fileIoProvider,
final DataNodeVolumeMetrics metrics) {
this.storage = storage;
this.fileIoProvider = fileIoProvider;
this.metrics = metrics;
}
@Override
@ -540,6 +544,11 @@ public class SimulatedFSDataset implements FsDatasetSpi<FsVolumeSpi> {
return fileIoProvider;
}
@Override
public DataNodeVolumeMetrics getMetrics() {
return metrics;
}
@Override
public VolumeCheckResult check(VolumeCheckContext context)
throws Exception {
@ -575,7 +584,12 @@ public class SimulatedFSDataset implements FsDatasetSpi<FsVolumeSpi> {
this.storage = new SimulatedStorage(
conf.getLong(CONFIG_PROPERTY_CAPACITY, DEFAULT_CAPACITY),
conf.getEnum(CONFIG_PROPERTY_STATE, DEFAULT_STATE));
this.volume = new SimulatedVolume(this.storage, this.fileIoProvider);
// TODO: per volume id or path
DataNodeVolumeMetrics volumeMetrics = DataNodeVolumeMetrics.create(conf,
datanodeUuid);
this.volume = new SimulatedVolume(this.storage, this.fileIoProvider,
volumeMetrics);
this.datasetLock = new AutoCloseableLock();
}
@ -1393,4 +1407,3 @@ public class SimulatedFSDataset implements FsDatasetSpi<FsVolumeSpi> {
return datasetLock.acquire();
}
}

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@ -24,7 +24,6 @@ import static org.junit.Assert.assertArrayEquals;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertFalse;
import static org.junit.Assert.assertNull;
import static org.junit.Assert.assertThat;
import static org.junit.Assert.assertTrue;
import static org.junit.Assume.assumeTrue;
@ -34,7 +33,6 @@ import java.util.ArrayList;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.ReconfigurationException;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hdfs.DFSConfigKeys;
@ -59,7 +57,8 @@ import org.junit.Test;
*/
public class TestDataNodeVolumeFailureReporting {
private static final Log LOG = LogFactory.getLog(TestDataNodeVolumeFailureReporting.class);
private static final Log LOG =
LogFactory.getLog(TestDataNodeVolumeFailureReporting.class);
{
GenericTestUtils.setLogLevel(TestDataNodeVolumeFailureReporting.LOG,
Level.ALL);
@ -387,8 +386,8 @@ public class TestDataNodeVolumeFailureReporting {
checkFailuresAtNameNode(dm, dns.get(1), true, dn2Vol1.getAbsolutePath());
// Reconfigure again to try to add back the failed volumes.
reconfigureDataNode(dns.get(0), dn1Vol1, dn1Vol2);
reconfigureDataNode(dns.get(1), dn2Vol1, dn2Vol2);
DataNodeTestUtils.reconfigureDataNode(dns.get(0), dn1Vol1, dn1Vol2);
DataNodeTestUtils.reconfigureDataNode(dns.get(1), dn2Vol1, dn2Vol2);
DataNodeTestUtils.triggerHeartbeat(dns.get(0));
DataNodeTestUtils.triggerHeartbeat(dns.get(1));
@ -408,8 +407,8 @@ public class TestDataNodeVolumeFailureReporting {
// Reconfigure a third time with the failed volumes. Afterwards, we expect
// the same volume failures to be reported. (No double-counting.)
reconfigureDataNode(dns.get(0), dn1Vol1, dn1Vol2);
reconfigureDataNode(dns.get(1), dn2Vol1, dn2Vol2);
DataNodeTestUtils.reconfigureDataNode(dns.get(0), dn1Vol1, dn1Vol2);
DataNodeTestUtils.reconfigureDataNode(dns.get(1), dn2Vol1, dn2Vol2);
DataNodeTestUtils.triggerHeartbeat(dns.get(0));
DataNodeTestUtils.triggerHeartbeat(dns.get(1));
@ -430,8 +429,8 @@ public class TestDataNodeVolumeFailureReporting {
// Replace failed volume with healthy volume and run reconfigure DataNode.
// The failed volume information should be cleared.
DataNodeTestUtils.restoreDataDirFromFailure(dn1Vol1, dn2Vol1);
reconfigureDataNode(dns.get(0), dn1Vol1, dn1Vol2);
reconfigureDataNode(dns.get(1), dn2Vol1, dn2Vol2);
DataNodeTestUtils.reconfigureDataNode(dns.get(0), dn1Vol1, dn1Vol2);
DataNodeTestUtils.reconfigureDataNode(dns.get(1), dn2Vol1, dn2Vol2);
DataNodeTestUtils.triggerHeartbeat(dns.get(0));
DataNodeTestUtils.triggerHeartbeat(dns.get(1));
@ -631,34 +630,4 @@ public class TestDataNodeVolumeFailureReporting {
cluster.getNamesystem().getBlockManager().getDatanodeManager(), 0);
volumeCapacity = dnCapacity / cluster.getStoragesPerDatanode();
}
/**
* Reconfigure a DataNode by setting a new list of volumes.
*
* @param dn DataNode to reconfigure
* @param newVols new volumes to configure
* @throws Exception if there is any failure
*/
private static void reconfigureDataNode(DataNode dn, File... newVols)
throws Exception {
StringBuilder dnNewDataDirs = new StringBuilder();
for (File newVol: newVols) {
if (dnNewDataDirs.length() > 0) {
dnNewDataDirs.append(',');
}
dnNewDataDirs.append(newVol.getAbsolutePath());
}
try {
assertThat(
dn.reconfigurePropertyImpl(
DFSConfigKeys.DFS_DATANODE_DATA_DIR_KEY,
dnNewDataDirs.toString()),
is(dn.getConf().get(DFSConfigKeys.DFS_DATANODE_DATA_DIR_KEY)));
} catch (ReconfigurationException e) {
// This can be thrown if reconfiguration tries to use a failed volume.
// We need to swallow the exception, because some of our tests want to
// cover this case.
LOG.warn("Could not reconfigure DataNode.", e);
}
}
}

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@ -0,0 +1,182 @@
/**
* 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;
import static org.apache.hadoop.test.MetricsAsserts.assertCounter;
import static org.apache.hadoop.test.MetricsAsserts.getMetrics;
import static org.junit.Assert.assertTrue;
import java.io.File;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.StorageType;
import org.apache.hadoop.hdfs.DFSConfigKeys;
import org.apache.hadoop.hdfs.DFSOutputStream;
import org.apache.hadoop.hdfs.DFSTestUtil;
import org.apache.hadoop.hdfs.HdfsConfiguration;
import org.apache.hadoop.hdfs.MiniDFSCluster;
import org.apache.hadoop.hdfs.protocol.ExtendedBlock;
import org.apache.hadoop.hdfs.server.datanode.fsdataset.DataNodeVolumeMetrics;
import org.apache.hadoop.hdfs.server.datanode.fsdataset.FsVolumeSpi;
import org.apache.hadoop.metrics2.MetricsRecordBuilder;
import org.junit.Rule;
import org.junit.Test;
import org.junit.rules.Timeout;
/**
* Test class for DataNodeVolumeMetrics.
*/
public class TestDataNodeVolumeMetrics {
private static final Log LOG =
LogFactory.getLog(TestDataNodeVolumeMetrics.class);
private static final int BLOCK_SIZE = 1024;
private static final short REPL = 1;
private static final int NUM_DATANODES = 1;
@Rule
public Timeout timeout = new Timeout(300000);
@Test
public void testVolumeMetrics() throws Exception {
MiniDFSCluster cluster = setupClusterForVolumeMetrics();
try {
FileSystem fs = cluster.getFileSystem();
final Path fileName = new Path("/test.dat");
final long fileLen = Integer.MAX_VALUE + 1L;
DFSTestUtil.createFile(fs, fileName, false, BLOCK_SIZE, fileLen,
fs.getDefaultBlockSize(fileName),
REPL, 1L, true);
try (FSDataOutputStream out = fs.append(fileName)) {
out.writeBytes("hello world");
((DFSOutputStream) out.getWrappedStream()).hsync();
}
verifyDataNodeVolumeMetrics(fs, cluster, fileName);
} finally {
if (cluster != null) {
cluster.shutdown();
}
}
}
@Test
public void testVolumeMetricsWithVolumeDepartureArrival() throws Exception {
MiniDFSCluster cluster = setupClusterForVolumeMetrics();
try {
FileSystem fs = cluster.getFileSystem();
final Path fileName = new Path("/test.dat");
final long fileLen = Integer.MAX_VALUE + 1L;
DFSTestUtil.createFile(fs, fileName, false, BLOCK_SIZE, fileLen,
fs.getDefaultBlockSize(fileName),
REPL, 1L, true);
try (FSDataOutputStream out = fs.append(fileName)) {
out.writeBytes("hello world");
((DFSOutputStream) out.getWrappedStream()).hsync();
}
ArrayList<DataNode> dns = cluster.getDataNodes();
assertTrue("DN1 should be up", dns.get(0).isDatanodeUp());
final String dataDir = cluster.getDataDirectory();
final File dn1Vol2 = new File(dataDir, "data2");
DataNodeTestUtils.injectDataDirFailure(dn1Vol2);
verifyDataNodeVolumeMetrics(fs, cluster, fileName);
DataNodeTestUtils.restoreDataDirFromFailure(dn1Vol2);
DataNodeTestUtils.reconfigureDataNode(dns.get(0), dn1Vol2);
verifyDataNodeVolumeMetrics(fs, cluster, fileName);
} finally {
if (cluster != null) {
cluster.shutdown();
}
}
}
private MiniDFSCluster setupClusterForVolumeMetrics() throws IOException {
Configuration conf = new HdfsConfiguration();
conf.set(DFSConfigKeys.DFS_DATANODE_FILE_IO_EVENTS_CLASS_KEY,
"org.apache.hadoop.hdfs.server.datanode.ProfilingFileIoEvents");
SimulatedFSDataset.setFactory(conf);
return new MiniDFSCluster.Builder(conf)
.numDataNodes(NUM_DATANODES)
.storageTypes(new StorageType[]{StorageType.RAM_DISK, StorageType.DISK})
.storagesPerDatanode(2)
.build();
}
private void verifyDataNodeVolumeMetrics(final FileSystem fs,
final MiniDFSCluster cluster, final Path fileName) throws IOException {
List<DataNode> datanodes = cluster.getDataNodes();
DataNode datanode = datanodes.get(0);
final ExtendedBlock block = DFSTestUtil.getFirstBlock(fs, fileName);
final FsVolumeSpi volume = datanode.getFSDataset().getVolume(block);
DataNodeVolumeMetrics metrics = volume.getMetrics();
MetricsRecordBuilder rb = getMetrics(volume.getMetrics().name());
assertCounter("TotalDataFileIos", metrics.getTotalDataFileIos(), rb);
LOG.info("TotalMetadataOperations : " +
metrics.getTotalMetadataOperations());
LOG.info("TotalDataFileIos : " + metrics.getTotalDataFileIos());
LOG.info("TotalFileIoErrors : " + metrics.getTotalFileIoErrors());
LOG.info("MetadataOperationSampleCount : " +
metrics.getMetadataOperationSampleCount());
LOG.info("MetadataOperationMean : " + metrics.getMetadataOperationMean());
LOG.info("MetadataFileIoStdDev : " +
metrics.getMetadataOperationStdDev());
LOG.info("DataFileIoSampleCount : " + metrics.getDataFileIoSampleCount());
LOG.info("DataFileIoMean : " + metrics.getDataFileIoMean());
LOG.info("DataFileIoStdDev : " + metrics.getDataFileIoStdDev());
LOG.info("flushIoSampleCount : " + metrics.getFlushIoSampleCount());
LOG.info("flushIoMean : " + metrics.getFlushIoMean());
LOG.info("flushIoStdDev : " + metrics.getFlushIoStdDev());
LOG.info("syncIoSampleCount : " + metrics.getSyncIoSampleCount());
LOG.info("syncIoMean : " + metrics.getSyncIoMean());
LOG.info("syncIoStdDev : " + metrics.getSyncIoStdDev());
LOG.info("readIoSampleCount : " + metrics.getReadIoMean());
LOG.info("readIoMean : " + metrics.getReadIoMean());
LOG.info("readIoStdDev : " + metrics.getReadIoStdDev());
LOG.info("writeIoSampleCount : " + metrics.getWriteIoSampleCount());
LOG.info("writeIoMean : " + metrics.getWriteIoMean());
LOG.info("writeIoStdDev : " + metrics.getWriteIoStdDev());
LOG.info("fileIoErrorSampleCount : "
+ metrics.getFileIoErrorSampleCount());
LOG.info("fileIoErrorMean : " + metrics.getFileIoErrorMean());
LOG.info("fileIoErrorStdDev : " + metrics.getFileIoErrorStdDev());
}
}

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@ -53,6 +53,9 @@ import org.apache.hadoop.hdfs.DFSTestUtil;
import org.apache.hadoop.hdfs.HdfsConfiguration;
import org.apache.hadoop.hdfs.MiniDFSCluster;
import org.apache.hadoop.hdfs.server.datanode.checker.VolumeCheckResult;
import org.apache.hadoop.hdfs.server.datanode.fsdataset.DataNodeVolumeMetrics;
import org.apache.hadoop.util.AutoCloseableLock;
import org.apache.hadoop.util.AutoCloseableLock;
import org.apache.hadoop.hdfs.protocol.Block;
import org.apache.hadoop.hdfs.protocol.HdfsConstants;
import org.apache.hadoop.hdfs.protocol.LocatedBlock;
@ -891,6 +894,11 @@ public class TestDirectoryScanner {
return null;
}
@Override
public DataNodeVolumeMetrics getMetrics() {
return null;
}
@Override
public VolumeCheckResult check(VolumeCheckContext context)
throws Exception {

View File

@ -25,6 +25,7 @@ import java.nio.channels.ClosedChannelException;
import org.apache.hadoop.fs.StorageType;
import org.apache.hadoop.hdfs.server.datanode.FileIoProvider;
import org.apache.hadoop.hdfs.server.datanode.checker.VolumeCheckResult;
import org.apache.hadoop.hdfs.server.datanode.fsdataset.DataNodeVolumeMetrics;
import org.apache.hadoop.hdfs.server.datanode.fsdataset.FsDatasetSpi;
import org.apache.hadoop.hdfs.server.datanode.fsdataset.FsVolumeReference;
import org.apache.hadoop.hdfs.server.datanode.fsdataset.FsVolumeSpi;
@ -115,6 +116,11 @@ public class ExternalVolumeImpl implements FsVolumeSpi {
return null;
}
@Override
public DataNodeVolumeMetrics getMetrics() {
return null;
}
@Override
public VolumeCheckResult check(VolumeCheckContext context)
throws Exception {