[ 
https://issues.apache.org/jira/browse/HADOOP-18324?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17635558#comment-17635558
 ] 

ASF GitHub Bot commented on HADOOP-18324:
-----------------------------------------

omalley commented on code in PR #4527:
URL: https://github.com/apache/hadoop/pull/4527#discussion_r1025825653


##########
hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/ipc/Client.java:
##########
@@ -1153,9 +1087,51 @@ public void run() {
             + connections.size());
     }
 
+    /**
+     * A thread to write rpc requests to the socket.
+     */
+    private class RpcRequestSender implements Runnable {
+      @Override
+      public void run() {
+        while (!shouldCloseConnection.get()) {
+          ResponseBuffer buf = null;
+          try {
+            Pair<Call, ResponseBuffer> pair = rpcRequestQueue.take();

Review Comment:
   I resolved the problem as you said by moving to a poll.





> Interrupting RPC Client calls can lead to thread exhaustion
> -----------------------------------------------------------
>
>                 Key: HADOOP-18324
>                 URL: https://issues.apache.org/jira/browse/HADOOP-18324
>             Project: Hadoop Common
>          Issue Type: Bug
>          Components: ipc
>    Affects Versions: 3.4.0, 2.10.2, 3.3.3
>            Reporter: Owen O'Malley
>            Assignee: Owen O'Malley
>            Priority: Critical
>              Labels: pull-request-available
>          Time Spent: 2h 50m
>  Remaining Estimate: 0h
>
> Currently the IPC client creates a boundless number of threads to write the 
> rpc request to the socket. The NameNode uses timeouts on its RPC calls to the 
> Journal Node and a stuck JN will cause the NN to create an infinite set of 
> threads.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: common-issues-unsubscr...@hadoop.apache.org
For additional commands, e-mail: common-issues-h...@hadoop.apache.org

Reply via email to