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HDFS-16386. Reduce DataNode load when FsDatasetAsyncDiskService is working. (#3806)

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jianghuazhu 2021-12-20 19:28:55 +08:00 committed by GitHub
parent 32a78e0b9e
commit 746b328554
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3 changed files with 23 additions and 2 deletions
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3
hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/DFSConfigKeys.java
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@ -143,6 +143,9 @@ public class DFSConfigKeys extends CommonConfigurationKeys {
public static final long DFS_DATANODE_MAX_LOCKED_MEMORY_DEFAULT = 0;
public static final String DFS_DATANODE_FSDATASETCACHE_MAX_THREADS_PER_VOLUME_KEY = "dfs.datanode.fsdatasetcache.max.threads.per.volume";
public static final int DFS_DATANODE_FSDATASETCACHE_MAX_THREADS_PER_VOLUME_DEFAULT = 4;
public static final String DFS_DATANODE_FSDATASETASYNCDISK_MAX_THREADS_PER_VOLUME_KEY =
"dfs.datanode.fsdatasetasyncdisk.max.threads.per.volume";
public static final int DFS_DATANODE_FSDATASETASYNCDISK_MAX_THREADS_PER_VOLUME_DEFAULT = 4;
public static final String DFS_DATANODE_LAZY_WRITER_INTERVAL_SEC = "dfs.datanode.lazywriter.interval.sec";
public static final int DFS_DATANODE_LAZY_WRITER_INTERVAL_DEFAULT_SEC = 60;
public static final String DFS_DATANODE_RAM_DISK_REPLICA_TRACKER_KEY = "dfs.datanode.ram.disk.replica.tracker";

12
hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/server/datanode/fsdataset/impl/FsDatasetAsyncDiskService.java
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@ -30,6 +30,8 @@ import java.util.concurrent.ThreadFactory;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
import org.apache.hadoop.hdfs.DFSConfigKeys;
import org.apache.hadoop.util.Preconditions;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.apache.hadoop.hdfs.protocol.ExtendedBlock;
@ -65,7 +67,7 @@ class FsDatasetAsyncDiskService {
// ThreadPool core pool size
private static final int CORE_THREADS_PER_VOLUME = 1;
// ThreadPool maximum pool size
private static final int MAXIMUM_THREADS_PER_VOLUME = 4;
private final int maxNumThreadsPerVolume;
// ThreadPool keep-alive time for threads over core pool size
private static final long THREADS_KEEP_ALIVE_SECONDS = 60;
@ -90,6 +92,12 @@ class FsDatasetAsyncDiskService {
this.datanode = datanode;
this.fsdatasetImpl = fsdatasetImpl;
this.threadGroup = new ThreadGroup(getClass().getSimpleName());
maxNumThreadsPerVolume = datanode.getConf().getInt(
DFSConfigKeys.DFS_DATANODE_FSDATASETASYNCDISK_MAX_THREADS_PER_VOLUME_KEY,
DFSConfigKeys.DFS_DATANODE_FSDATASETASYNCDISK_MAX_THREADS_PER_VOLUME_DEFAULT);
Preconditions.checkArgument(maxNumThreadsPerVolume > 0,
DFSConfigKeys.DFS_DATANODE_FSDATASETASYNCDISK_MAX_THREADS_PER_VOLUME_KEY +
" must be a positive integer.");
}
private void addExecutorForVolume(final FsVolumeImpl volume) {
@ -110,7 +118,7 @@ class FsDatasetAsyncDiskService {
};
ThreadPoolExecutor executor = new ThreadPoolExecutor(
CORE_THREADS_PER_VOLUME, MAXIMUM_THREADS_PER_VOLUME,
CORE_THREADS_PER_VOLUME, maxNumThreadsPerVolume,
THREADS_KEEP_ALIVE_SECONDS, TimeUnit.SECONDS,
new LinkedBlockingQueue<Runnable>(), threadFactory);

10
hadoop-hdfs-project/hadoop-hdfs/src/main/resources/hdfs-default.xml
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@ -2982,6 +2982,16 @@
</description>
</property>
<property>
<name>dfs.datanode.fsdatasetasyncdisk.max.threads.per.volume</name>
<value>4</value>
<description>
The maximum number of threads per volume used to process async disk
operations on the datanode. These threads consume I/O and CPU at the
same time. This will affect normal data node operations.
</description>
</property>
<property>
<name>dfs.cachereport.intervalMsec</name>
<value>10000</value>