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https://issues.apache.org/jira/browse/HDFS-14366?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chao Sun updated HDFS-14366:
----------------------------
Attachment: HDFS-14366.000.patch
> Improve HDFS append performance
> -------------------------------
>
> Key: HDFS-14366
> URL: https://issues.apache.org/jira/browse/HDFS-14366
> Project: Hadoop HDFS
> Issue Type: Improvement
> Components: hdfs
> Reporter: Chao Sun
> Assignee: Chao Sun
> Priority: Major
> Attachments: HDFS-14366.000.patch, append-flamegraph.png
>
>
> In our HDFS cluster we observed that {{append}} operation can take as much as
> 10X write lock time than other write operations. By collecting flamegraph on
> the namenode (see attachment: append-flamegraph.png), we found that most of
> the append call is spent on {{getNumLiveDataNodes()}}:
> {code}
> /** @return the number of live datanodes. */
> public int getNumLiveDataNodes() {
> int numLive = 0;
> synchronized (this) {
> for(DatanodeDescriptor dn : datanodeMap.values()) {
> if (!isDatanodeDead(dn) ) {
> numLive++;
> }
> }
> }
> return numLive;
> }
> {code}
> this method synchronizes on the {{DatanodeManager}} which is particularly
> expensive in large clusters since {{datanodeMap}} is being modified in many
> places such as processing DN heartbeats.
> For {{append}} operation, {{getNumLiveDataNodes()}} is invoked in
> {{isSufficientlyReplicated}}:
> {code}
> /**
> * Check if a block is replicated to at least the minimum replication.
> */
> public boolean isSufficientlyReplicated(BlockInfo b) {
> // Compare against the lesser of the minReplication and number of live
> DNs.
> final int replication =
> Math.min(minReplication, getDatanodeManager().getNumLiveDataNodes());
> return countNodes(b).liveReplicas() >= replication;
> }
> {code}
> The way that the {{replication}} is calculated is not very optimal, as it
> will call {{getNumLiveDataNodes()}} _every time_ even though usually
> {{minReplication}} is much smaller than the latter.
>
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