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Posted to common-issues@hadoop.apache.org by "Ayush Saxena (Jira)" <ji...@apache.org> on 2022/02/01 08:52:00 UTC
[jira] [Updated] (HADOOP-18024) SocketChannel is not closed when IOException happens in Server$Listener.doAccept
[ https://issues.apache.org/jira/browse/HADOOP-18024?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ayush Saxena updated HADOOP-18024:
----------------------------------
Fix Version/s: (was: 3.4.0)
> SocketChannel is not closed when IOException happens in Server$Listener.doAccept
> --------------------------------------------------------------------------------
>
> Key: HADOOP-18024
> URL: https://issues.apache.org/jira/browse/HADOOP-18024
> Project: Hadoop Common
> Issue Type: Bug
> Components: ipc
> Affects Versions: 3.2.2
> Reporter: Haoze Wu
> Assignee: Haoze Wu
> Priority: Major
> Labels: pull-request-available
> Time Spent: 3h 40m
> Remaining Estimate: 0h
>
> This is a follow-up of HADOOP-17552.
> When the symptom described in HADOOP-17552 happens, the client may time out in 2min, according to the default RPC timeout configuration specified in HADOOP-17552. Before this timeout, the client just waits, and does not know this issue happens.
> However, we recently found that actually the client doesn’t need to waste this 2min, and the server’s availability can be also improved. If the IOException happens in line 1402 or 1403 or 1404, we can just close this problematic `SocketChannel` and continue to accept new socket connections. The client side can also be aware of the close socket immediately, instead of waiting 2min.
> The old implementation:
> {code:java}
> //hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/ipc/Server.java
> public void run() {
> while (running) {
> // ...
> try {
> // ...
> while (iter.hasNext()) {
> // ...
> try {
> if (key.isValid()) {
> if (key.isAcceptable())
> doAccept(key); // line 1348
> }
> } catch (IOException e) { // line 1350
> }
> // ...
> }
> } catch (OutOfMemoryError e) {
> // ...
> } catch (Exception e) {
> // ...
> }
> }
> } {code}
> {code:java}
> //hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/ipc/Server.java
> void doAccept(SelectionKey key) throws InterruptedException, IOException,
> OutOfMemoryError {
> ServerSocketChannel server = (ServerSocketChannel) key.channel();
> SocketChannel channel;
> while ((channel = server.accept()) != null) { // line 1400
> channel.configureBlocking(false); // line 1402
> channel.socket().setTcpNoDelay(tcpNoDelay); // line 1403
> channel.socket().setKeepAlive(true); // line 1404
> Reader reader = getReader();
> Connection c = connectionManager.register(channel,
> this.listenPort, this.isOnAuxiliaryPort);
> // If the connectionManager can't take it, close the connection.
> if (c == null) {
> if (channel.isOpen()) {
> IOUtils.cleanup(null, channel);
> }
> connectionManager.droppedConnections.getAndIncrement();
> continue;
> }
> key.attach(c); // so closeCurrentConnection can get the object
> reader.addConnection(c);
> }
> } {code}
>
> We propose that the following implementation is better:
> {code:java}
> void doAccept(SelectionKey key) throws InterruptedException, IOException,
> OutOfMemoryError {
> ServerSocketChannel server = (ServerSocketChannel) key.channel();
> SocketChannel channel;
> while ((channel = server.accept()) != null) { // line 1400
> try {
> channel.configureBlocking(false); // line 1402
> channel.socket().setTcpNoDelay(tcpNoDelay); // line 1403
> channel.socket().setKeepAlive(true); // line 1404
> } catch (IOException e) {
> LOG.warn(...);
> try {
> channel.socket().close();
> channel.close();
> } catch (IOException ignored) { }
> continue;
> }
> // ...
> }
> }{code}
> The advantages include:
> # {*}In the old implementation{*}, the `ServerSocketChannel` was abandoned due to the single exception in this single `SocketChannel`, because the exception handler is in line 1350. {*}In the new implementation{*}, we use a try-catch to handle the exception in line 1402 or 1403 or 1404, then the `ServerSocketChannel` can continue to accept new connections, and don’t need to go back to the line 1348 in the next while loop in the run method.
> # {*}In the old implementation{*}, the client (another endpoint of this `SocketChannel`) is not aware of this issue, because the `SocketChannel` is accepted and not closed. {*}In the new implementation{*}, we close the `SocketChannel` when the IOException happens, then the client will immediately get EOF from the socket. Then the client can choose to retry or throw an exception, by the client’s discretion.
>
> We have confirmed that this patch works as expected, in our local machine.
>
> This code pattern was adopted by other communities. For example, in Kafka [https://github.com/apache/kafka/blob/23e9818e625976c22fe6d4297a5ab76b01f92ef6/core/src/main/scala/kafka/network/SocketServer.scala#L714-L740]:
> {code:java}
> /**
> * Accept a new connection
> */
> private def accept(key: SelectionKey): Option[SocketChannel] = {
> val serverSocketChannel = key.channel().asInstanceOf[ServerSocketChannel]
> val socketChannel = serverSocketChannel.accept()
> try {
> connectionQuotas.inc(endPoint.listenerName, socketChannel.socket.getInetAddress, blockedPercentMeter)
> configureAcceptedSocketChannel(socketChannel)
> Some(socketChannel)
> } catch {
> case e: TooManyConnectionsException =>
> info(...)
> close(endPoint.listenerName, socketChannel)
> None
> case e: ConnectionThrottledException =>
> // ...
> None
> case e: IOException =>
> error(...)
> close(endPoint.listenerName, socketChannel)
> None
> }
> }
> /**
> * Close `channel` and decrement the connection count.
> */
> def close(listenerName: ListenerName, channel: SocketChannel): Unit = {
> if (channel != null) {
> // ...
> closeSocket(channel)
> }
> }
> protected def closeSocket(channel: SocketChannel): Unit = {
> CoreUtils.swallow(channel.socket().close(), this, Level.ERROR)
> CoreUtils.swallow(channel.close(), this, Level.ERROR)
> }
> {code}
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