From user-return-35455-archive-asf-public=cust-asf.ponee.io@flink.apache.org Sun May 31 20:57:45 2020 Return-Path: X-Original-To: archive-asf-public@cust-asf.ponee.io Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [207.244.88.153]) by mx-eu-01.ponee.io (Postfix) with SMTP id 1DE7418065E for ; Sun, 31 May 2020 22:57:34 +0200 (CEST) Received: (qmail 5957 invoked by uid 500); 31 May 2020 20:57:28 -0000 Mailing-List: contact user-help@flink.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Delivered-To: mailing list user@flink.apache.org Received: (qmail 5946 invoked by uid 99); 31 May 2020 20:57:28 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd2-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Sun, 31 May 2020 20:57:28 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd2-us-west.apache.org (ASF Mail Server at spamd2-us-west.apache.org) with ESMTP id D036C1A3274 for ; Sun, 31 May 2020 20:57:27 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd2-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: 0.252 X-Spam-Level: X-Spam-Status: No, score=0.252 tagged_above=-999 required=6.31 tests=[DKIM_SIGNED=0.1, DKIM_VALID=-0.1, DKIM_VALID_AU=-0.1, DKIM_VALID_EF=-0.1, HTML_MESSAGE=0.2, KAM_LOTSOFHASH=0.25, NUMERIC_HTTP_ADDR=0.001, RCVD_IN_DNSWL_NONE=-0.0001, SPF_HELO_NONE=0.001, SPF_PASS=-0.001, WEIRD_PORT=0.001] autolearn=disabled Authentication-Results: spamd2-us-west.apache.org (amavisd-new); dkim=pass (2048-bit key) header.d=gmail.com Received: from mx1-he-de.apache.org ([10.40.0.8]) by localhost (spamd2-us-west.apache.org [10.40.0.9]) (amavisd-new, port 10024) with ESMTP id iwShs5RUCOQ8 for ; Sun, 31 May 2020 20:57:24 +0000 (UTC) Received-SPF: Pass (mailfrom) identity=mailfrom; client-ip=2607:f8b0:4864:20::f44; helo=mail-qv1-xf44.google.com; envelope-from=bvijaykr@gmail.com; receiver= Received: from mail-qv1-xf44.google.com (mail-qv1-xf44.google.com [IPv6:2607:f8b0:4864:20::f44]) by mx1-he-de.apache.org (ASF Mail Server at mx1-he-de.apache.org) with ESMTPS id 4B1DC7D3FB for ; Sun, 31 May 2020 20:57:23 +0000 (UTC) Received: by mail-qv1-xf44.google.com with SMTP id cv17so149469qvb.13 for ; Sun, 31 May 2020 13:57:23 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20161025; h=mime-version:references:in-reply-to:from:date:message-id:subject:to :cc; bh=pwa3YdYsymYrMSLmu2WFdJpURa3go1fsGfAT2BMwlwk=; b=FXB8zMsYIAV61tRCe9lJ3AMP7/pHKCjSu+o0SELLwMPzzzpyouufEK/6wrBXU24fmh T2ITICE0SDxe9YeGp2pE/IrfTX4S3KdHFw7sSyHjKFpkPo10b/dO5z7GIyagMtdVpOXF fIPE6IGJxXnFM99qTK6kgU12wUQoEszA58Z/fvH746xSQO+V1yxCwYJ4fJAXJx6+Dbv7 L8kzDfU+s831eUt4MaUDWQfMfC0ONrsZEt2bFhvrK+6/5ozhHgB6Vv7RfFEmsorAzl2X pib/bINlyCbCljHxCqeA4JAYXYarIiCsoT3teyiqUZp2YFcEN8PCeBy34DLiVe5W4bJK 0v7g== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20161025; h=x-gm-message-state:mime-version:references:in-reply-to:from:date :message-id:subject:to:cc; bh=pwa3YdYsymYrMSLmu2WFdJpURa3go1fsGfAT2BMwlwk=; b=K802MOK9hjnnjfiLTj4NOItinP8BtRXlsPvv1n5yZ5Pox2a7e+11Hd92fDixNphDWf yLgGpx/TlSGKb07Z9QspQDTp9A7IUZSyfSRiDXCUb4nE/Nuo+/V1pS5Ef2GEVVi/uLgx CDySthoWaso2X+CTQewCeQTiLzqfG04Vg28UZlCJSneIBkdB6UtkTbOAMGCQjrlqih3o aXA9PLVazwMR8CFOu1D13Nkvyl8wCS/C6mgBLkz0w14kC4ghimGafchOzz7dYZS3KI4+ UlekrVuK5Q45d7XJkWoo/1+kVH1L6Sj2NT7cRiivsffMD2NhiGLqBsMedOuBBr1Qlyse HfPA== X-Gm-Message-State: AOAM531HArPQ2R3G4loXK+mZtKBdo1XquFJbxOnH/jKOPFTXKmyhgJbv RAKK75YN+YFXJ+n9trawiJZI9YbiZCxX7eBiyYY= X-Google-Smtp-Source: ABdhPJy7SSKj9eMuZdZE5APVKUSFGWfqVKYbDBtaQFTplydNbvgN8lWyIG1GW4IkOVdk2KGByOqq3YlTu03bhxBFTks= X-Received: by 2002:a0c:b44c:: with SMTP id e12mr17568527qvf.30.1590958640924; Sun, 31 May 2020 13:57:20 -0700 (PDT) MIME-Version: 1.0 References: In-Reply-To: From: Vijay Balakrishnan Date: Sun, 31 May 2020 13:57:09 -0700 Message-ID: Subject: Re: Flink Dashboard UI Tasks hard limit To: Xintong Song Cc: user Content-Type: multipart/mixed; boundary="000000000000a53bec05a6f7ec47" --000000000000a53bec05a6f7ec47 Content-Type: multipart/alternative; boundary="000000000000a53be805a6f7ec45" --000000000000a53be805a6f7ec45 Content-Type: text/plain; charset="UTF-8" Hi All, The Job takes forever to startup and is now failing all the time to startup. Physical Memory:62.1 GB JVM Heap Size:15.0 GB Flink Managed Memory:10.5 GB Attached a TM screenshot. Tried increasing the following: taskmanager.numberOfTaskSlots: 10 parallelism.default: 1 rest.server.max-content-length: 314572800 taskmanager.network.memory.fraction: 0.45 taskmanager.network.memory.max: 24gb taskmanager.network.memory.min: 500mb akka.ask.timeout: 240s cluster.evenly-spread-out-slots: true taskmanager.network.netty.client.connectTimeoutSec: 240 taskmanager.network.detailed-metrics: true taskmanager.network.memory.floating-buffers-per-gate: 16 akka.tcp.timeout: 30s There are more than enough slots. Issue seems to be communicating over TCP with Remote Task managers ?? Getting this exception on a TaskManager: 2020-05-31 20:37:31,436 INFO org.apache.flink.runtime.taskmanager.Task - Window(TumblingEventTimeWindows(5000), EventTimeTrigger, MGroupingWindowAggregate, MGroupingAggregateWindowProcessing) (36/440) (921fe6761ce844a6850c5fc67326b221) switched from DEPLOYING to FAILED. org.apache.flink.runtime.io.network.partition.consumer.PartitionConnectionException: Connection for partition faea47916a206dc8d014694ec72ab577@95f71b39868d4e23a180ce11653dc4ca not reachable. at org.apache.flink.runtime.io.network.partition.consumer.RemoteInputChannel.requestSubpartition(RemoteInputChannel.java:168) at org.apache.flink.runtime.io.network.partition.consumer.SingleInputGate.requestPartitions(SingleInputGate.java:237) at org.apache.flink.runtime.io.network.partition.consumer.SingleInputGate.setup(SingleInputGate.java:215) at org.apache.flink.runtime.taskmanager.InputGateWithMetrics.setup(InputGateWithMetrics.java:65) at org.apache.flink.runtime.taskmanager.Task.setupPartitionsAndGates(Task.java:866) at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:621) at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530) at java.lang.Thread.run(Thread.java:748) -- at org.apache.flink.runtime.io.network.partition.consumer.RemoteInputChannel.requestSubpartition(RemoteInputChannel.java:168) at org.apache.flink.runtime.io.network.partition.consumer.SingleInputGate.requestPartitions(SingleInputGate.java:237) at org.apache.flink.runtime.io.network.partition.consumer.SingleInputGate.setup(SingleInputGate.java:215) at org.apache.flink.runtime.taskmanager.InputGateWithMetrics.setup(InputGateWithMetrics.java:65) at org.apache.flink.runtime.taskmanager.Task.setupPartitionsAndGates(Task.java:866) at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:621) at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530) at java.lang.Thread.run(Thread.java:748) Caused by: java.io.IOException: Connecting the channel failed: Connecting to remote task manager + '/10.127.106.54:33564' has failed. This might indicate that the remote task manager has been lost. at org.apache.flink.runtime.io.network.netty.PartitionRequestClientFactory$ConnectingChannel.waitForChannel(PartitionRequestClientFactory.java:197) at org.apache.flink.runtime.io.network.netty.PartitionRequestClientFactory$ConnectingChannel.access$000(PartitionRequestClientFactory.java:134) at org.apache.flink.runtime.io.network.netty.PartitionRequestClientFactory.createPartitionRequestClient(PartitionRequestClientFactory.java:70) at org.apache.flink.runtime.io.network.netty.NettyConnectionManager.createPartitionRequestClient(NettyConnectionManager.java:68) at org.apache.flink.runtime.io.network.partition.consumer.RemoteInputChannel.requestSubpartition(RemoteInputChannel.java:165) ... 7 more -- at org.apache.flink.runtime.io.network.netty.PartitionRequestClientFactory$ConnectingChannel.waitForChannel(PartitionRequestClientFactory.java:197) at org.apache.flink.runtime.io.network.netty.PartitionRequestClientFactory$ConnectingChannel.access$000(PartitionRequestClientFactory.java:134) at org.apache.flink.runtime.io.network.netty.PartitionRequestClientFactory.createPartitionRequestClient(PartitionRequestClientFactory.java:70) at org.apache.flink.runtime.io.network.netty.NettyConnectionManager.createPartitionRequestClient(NettyConnectionManager.java:68) at org.apache.flink.runtime.io.network.partition.consumer.RemoteInputChannel.requestSubpartition(RemoteInputChannel.java:165) ... 7 more Caused by: org.apache.flink.runtime.io.network.netty.exception.RemoteTransportException: Connecting to remote task manager + '/10.127.106.54:33564' has failed. This might indicate that the remote task manager has been lost. at org.apache.flink.runtime.io.network.netty.PartitionRequestClientFactory$ConnectingChannel.operationComplete(PartitionRequestClientFactory.java:220) at org.apache.flink.runtime.io.network.netty.PartitionRequestClientFactory$ConnectingChannel.operationComplete(PartitionRequestClientFactory.java:134) at org.apache.flink.shaded.netty4.io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:511) at org.apache.flink.shaded.netty4.io.netty.util.concurrent.DefaultPromise.notifyListeners0(DefaultPromise.java:504) at org.apache.flink.shaded.netty4.io.netty.util.concurrent.DefaultPromise.notifyListenersNow(DefaultPromise.java:483) at org.apache.flink.shaded.netty4.io.netty.util.concurrent.DefaultPromise.notifyListeners(DefaultPromise.java:424) at org.apache.flink.shaded.netty4.io.netty.util.concurrent.DefaultPromise.tryFailure(DefaultPromise.java:121) at org.apache.flink.shaded.netty4.io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.fulfillConnectPromise(AbstractNioChannel.java:327) at org.apache.flink.shaded.netty4.io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:343) at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:644) at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:591) at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:508) at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:470) at org.apache.flink.shaded.netty4.io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:909) ... 1 more -- at org.apache.flink.runtime.io.network.netty.PartitionRequestClientFactory$ConnectingChannel.operationComplete(PartitionRequestClientFactory.java:220) at org.apache.flink.runtime.io.network.netty.PartitionRequestClientFactory$ConnectingChannel.operationComplete(PartitionRequestClientFactory.java:134) at org.apache.flink.shaded.netty4.io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:511) at org.apache.flink.shaded.netty4.io.netty.util.concurrent.DefaultPromise.notifyListeners0(DefaultPromise.java:504) at org.apache.flink.shaded.netty4.io.netty.util.concurrent.DefaultPromise.notifyListenersNow(DefaultPromise.java:483) at org.apache.flink.shaded.netty4.io.netty.util.concurrent.DefaultPromise.notifyListeners(DefaultPromise.java:424) at org.apache.flink.shaded.netty4.io.netty.util.concurrent.DefaultPromise.tryFailure(DefaultPromise.java:121) at org.apache.flink.shaded.netty4.io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.fulfillConnectPromise(AbstractNioChannel.java:327) at org.apache.flink.shaded.netty4.io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:343) at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:644) at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:591) at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:508) at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:470) at org.apache.flink.shaded.netty4.io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:909) ... 1 more Caused by: org.apache.flink.shaded.netty4.io.netty.channel.AbstractChannel$AnnotatedConnectException: Connection timed out: /10.127.106.54:33564 On Fri, May 29, 2020 at 12:43 PM Vijay Balakrishnan wrote: > Thx, Xintong for the detailed explanation of memory fraction. I increased > the mem fraction now. > > As I increase the defaultParallelism, I keep getting this error: > > org.apache.flink.runtime.io.network.partition.consumer. > PartitionConnectionException: Connection for partition > e312b2db4d1d0c65224664f620d06f7d@c3a4fb1e56a0996d9f2ff86dac6e483f not > reachable. > at org.apache.flink.runtime.io.network.partition.consumer. > RemoteInputChannel.requestSubpartition(RemoteInputChannel.java:168) > at org.apache.flink.runtime.io.network.partition.consumer. > SingleInputGate.requestPartitions(SingleInputGate.java:237) > at org.apache.flink.runtime.io.network.partition.consumer. > SingleInputGate.setup(SingleInputGate.java:215) > at org.apache.flink.runtime.taskmanager.InputGateWithMetrics.setup( > InputGateWithMetrics.java:65) > at org.apache.flink.runtime.taskmanager.Task.setupPartitionsAndGates( > Task.java:866) > at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:621) > at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530) > at java.lang.Thread.run(Thread.java:748) > Caused by: java.io.IOException: Connecting the channel failed: Connecting > to remote task manager + '/10.9.239.218:45544' has failed. This might > indicate that the remote task manager has been lost. > at org.apache.flink.runtime.io.network.netty. > PartitionRequestClientFactory$ConnectingChannel.waitForChannel( > PartitionRequestClientFactory.java:197) > at org.apache.flink.runtime.io.network.netty. > PartitionRequestClientFactory$ConnectingChannel.access$000( > PartitionRequestClientFactory.java:134) > at org.apache.flink.runtime.io.network.netty. > PartitionRequestClientFactory.createPartitionRequestClient( > PartitionRequestClientFactory.java:70) > at org.apache.flink.runtime.io.network.netty.NettyConnectionManager > .createPartitionRequestClient(NettyConnectionManager.java:68) > at org.apache.flink.runtime.io.network.partition.consumer. > RemoteInputChannel.requestSubpartition(RemoteInputChannel.java:165) > ... 7 more > Caused by: org.apache.flink.runtime.io.network.netty.exception. > RemoteTransportException: Connecting to remote task manager + '/ > 10.9.239.218:45544' has failed. This might indicate that the remote task > manager has been lost. > at org.apache.flink.runtime.io.network.netty. > PartitionRequestClientFactory$ConnectingChannel.operationComplete( > PartitionRequestClientFactory.java:220) > at org.apache.flink.runtime.io.network.netty. > PartitionRequestClientFactory$ConnectingChannel.operationComplete( > PartitionRequestClientFactory.java:134) > at org.apache.flink.shaded.netty4.io.netty.util.concurrent. > DefaultPromise.notifyListener0(DefaultPromise.java:511) > at org.apache.flink.shaded.netty4.io.netty.util.concurrent. > DefaultPromise.notifyListeners0(DefaultPromise.java:504) > at org.apache.flink.shaded.netty4.io.netty.util.concurrent. > DefaultPromise.notifyListenersNow(DefaultPromise.java:483) > at org.apache.flink.shaded.netty4.io.netty.util.concurrent. > DefaultPromise.notifyListeners(DefaultPromise.java:424) > at org.apache.flink.shaded.netty4.io.netty.util.concurrent. > DefaultPromise.tryFailure(DefaultPromise.java:121) > at org.apache.flink.shaded.netty4.io.netty.channel.nio. > AbstractNioChannel$AbstractNioUnsafe.fulfillConnectPromise( > AbstractNioChannel.java:327) > at org.apache.flink.shaded.netty4.io.netty.channel.nio. > AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel > .java:343) > at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop > .processSelectedKey(NioEventLoop.java:644) > at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop > .processSelectedKeysOptimized(NioEventLoop.java:591) > at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop > .processSelectedKeys(NioEventLoop.java:508) > at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop > .run(NioEventLoop.java:470) > at org.apache.flink.shaded.netty4.io.netty.util.concurrent. > SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:909) > ... 1 more > Caused by: org.apache.flink.shaded.netty4.io.netty.channel. > AbstractChannel$AnnotatedConnectException: Connection timed out: /10.9. > 239.218:45544 > at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) > at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java: > 714) > at org.apache.flink.shaded.netty4.io.netty.channel.socket.nio. > NioSocketChannel.doFinishConnect(NioSocketChannel.java:327) > at org.apache.flink.shaded.netty4.io.netty.channel.nio. > AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel > .java:340) > ... 6 more > Caused by: java.net.ConnectException: Connection timed out > ... 10 more > > > On Wed, May 27, 2020 at 7:14 PM Xintong Song > wrote: > >> Ah, I guess I had misunderstood what your mean. >> >> Below 18000 tasks, the Flink Job is able to start up. >>> Even though I increased the number of slots, it still works when 312 >>> slots are being used. >>> >> When you say "it still works", I thought that you increased the >> parallelism the job was sill executed as the parallelism was not increased. >> From your latest reply, it seems the job's parallelism is indeed >> increased, but then it runs into failures. >> >> The reason you run into the "Insufficient number of network buffers" >> exception, is that with more tasks in your job, more inter-task data >> transmission channels, thus memory for network buffers, are needed. >> >> To increase the network memory size, the following configuration options, >> as you already found, are related. >> >> - taskmanager.network.memory.fraction >> - taskmanager.network.memory.max >> - taskmanager.network.memory.min >> >> Please be aware that `taskmanager.memory.task.off-heap.size` is not >> related to network memory, and is only available in Flink 1.10 and above >> while you're using 1.9.1 as suggested by the screenshots. >> >> The network memory size is calculated as `min(max(some_total_value * >> network_fraction, network_min), network_max)`. According to the error >> message, your current network memory size is `85922 buffers * >> 32KB/buffer = 2685MB`, smaller than your "max" (4gb). That means >> increasing the "max" does not help in your case. It is the "fraction" that >> you need to increase. >> >> Thank you~ >> >> Xintong Song >> >> >> >> On Thu, May 28, 2020 at 9:30 AM Vijay Balakrishnan >> wrote: >> >>> Hi Xintong, >>> Looks like the issue is not fully resolved :( Attaching 2 screenshots of >>> the memory consumption of 1 of the TaskManagers. >>> >>> To increase the used up Direct memory off heap,Do I change this: >>> taskmanager.memory.task.off-heap.size: 5gb >>> >>> I had increased the taskmanager.network.memory.max: 24gb >>> which seems excessive. >>> >>> 1 of the errors I saw in the Flink logs: >>> >>> java.io.IOException: Insufficient number of network buffers: required 1, >>> but only 0 available. The total number of network buffers is currently set >>> to 85922 of 32768 bytes each. You can increase this number by setting the >>> configuration keys 'taskmanager.network.memory.fraction', >>> 'taskmanager.network.memory.min', and 'taskmanager.network.memory.max'. >>> at >>> org.apache.flink.runtime.io.network.buffer.NetworkBufferPool.createBufferPool(NetworkBufferPool.java:281) >>> at >>> org.apache.flink.runtime.io.network.partition.ResultPartitionFactory.lambda$createBufferPoolFactory$0(ResultPartitionFactory.java:191) >>> >>> TIA, >>> >>> >>> On Wed, May 27, 2020 at 9:06 AM Vijay Balakrishnan >>> wrote: >>> >>>> Thanks so much, Xintong for guiding me through this. I looked at the >>>> Flink logs to see the errors. >>>> I had to change taskmanager.network.memory.max: 4gb >>>> and akka.ask.timeout: 240s to increase the number of tasks. >>>> Now, I am able to increase the number of Tasks/ aka Task vertices. >>>> >>>> taskmanager.network.memory.fraction: 0.15 >>>> taskmanager.network.memory.max: 4gb >>>> taskmanager.network.memory.min: 500mb >>>> akka.ask.timeout: 240s >>>> >>>> On Tue, May 26, 2020 at 8:42 PM Xintong Song >>>> wrote: >>>> >>>>> Could you also explain how do you set the parallelism when getting >>>>> this execution plan? >>>>> I'm asking because this json file itself only shows the resulted >>>>> execution plan. It is not clear to me what is not working as expected in >>>>> your case. E.g., you set the parallelism for an operator to 10 but the >>>>> execution plan only shows 5. >>>>> >>>>> Thank you~ >>>>> >>>>> Xintong Song >>>>> >>>>> >>>>> >>>>> On Wed, May 27, 2020 at 3:16 AM Vijay Balakrishnan >>>>> wrote: >>>>> >>>>>> Hi Xintong, >>>>>> Thanks for the excellent clarification for tasks. >>>>>> >>>>>> I attached a sample screenshot above and din't reflect the slots used >>>>>> and the tasks limit I was running into in that pic. >>>>>> >>>>>> I am attaching my Execution plan here. Please let me know how I can >>>>>> increase the nmber of tasks aka parallelism. As increase the parallelism, >>>>>> i run into this bottleneck with the tasks. >>>>>> >>>>>> BTW - The https://flink.apache.org/visualizer/ is a great start to >>>>>> see this. >>>>>> TIA, >>>>>> >>>>>> On Sun, May 24, 2020 at 7:52 PM Xintong Song >>>>>> wrote: >>>>>> >>>>>>> Increasing network memory buffers (fraction, min, max) seems to >>>>>>>> increase tasks slightly. >>>>>>> >>>>>>> That's wired. I don't think the number of network memory buffers >>>>>>> have anything to do with the task amount. >>>>>>> >>>>>>> Let me try to clarify a few things. >>>>>>> >>>>>>> Please be aware that, how many tasks a Flink job has, and how many >>>>>>> slots a Flink cluster has, are two different things. >>>>>>> - The number of tasks are decided by your job's parallelism and >>>>>>> topology. E.g., if your job graph have 3 vertices A, B and C, with >>>>>>> parallelism 2, 3, 4 respectively. Then you would have totally 9 (2+3+4) >>>>>>> tasks. >>>>>>> - The number of slots are decided by number of TMs and slots-per-TM. >>>>>>> - For streaming jobs, you have to make sure the number of slots is >>>>>>> enough for executing all your tasks. The number of slots needed for >>>>>>> executing your job is by default the max parallelism of your job graph >>>>>>> vertices. Take the above example, you would need 4 slots, because it's the >>>>>>> max among all the vertices' parallelisms (2, 3, 4). >>>>>>> >>>>>>> In your case, the screenshot shows that you job has 9621 tasks in >>>>>>> total (not around 18000, the dark box shows total tasks while the green box >>>>>>> shows running tasks), and 600 slots are in use (658 - 58) suggesting that >>>>>>> the max parallelism of your job graph vertices is 600. >>>>>>> >>>>>>> If you want to increase the number of tasks, you should increase >>>>>>> your job parallelism. There are several ways to do that. >>>>>>> >>>>>>> - In your job codes (assuming you are using DataStream API) >>>>>>> - Use `StreamExecutionEnvironment#setParallelism()` to set >>>>>>> parallelism for all operators. >>>>>>> - Use `SingleOutputStreamOperator#setParallelism()` to set >>>>>>> parallelism for a specific operator. (Only supported for subclasses of >>>>>>> `SingleOutputStreamOperator`.) >>>>>>> - When submitting your job, use `-p ` as an >>>>>>> argument for the `flink run` command, to set parallelism for all operators. >>>>>>> - Set `parallelism.default` in your `flink-conf.yaml`, to set a >>>>>>> default parallelism for your jobs. This will be used for jobs that have not >>>>>>> set parallelism with neither of the above methods. >>>>>>> >>>>>>> >>>>>>> Thank you~ >>>>>>> >>>>>>> Xintong Song >>>>>>> >>>>>>> >>>>>>> >>>>>>> On Sat, May 23, 2020 at 1:11 AM Vijay Balakrishnan < >>>>>>> bvijaykr@gmail.com> wrote: >>>>>>> >>>>>>>> Hi Xintong, >>>>>>>> Thx for your reply. Increasing network memory buffers (fraction, >>>>>>>> min, max) seems to increase tasks slightly. >>>>>>>> >>>>>>>> Streaming job >>>>>>>> Standalone >>>>>>>> >>>>>>>> Vijay >>>>>>>> >>>>>>>> On Fri, May 22, 2020 at 2:49 AM Xintong Song >>>>>>>> wrote: >>>>>>>> >>>>>>>>> Hi Vijay, >>>>>>>>> >>>>>>>>> I don't think your problem is related to number of opening files. >>>>>>>>> The parallelism of your job is decided before actually tries to open the >>>>>>>>> files. And if the OS limit for opening files is reached, you should see a >>>>>>>>> job execution failure, instead of a success execution with a lower >>>>>>>>> parallelism. >>>>>>>>> >>>>>>>>> Could you share some more information about your use case? >>>>>>>>> >>>>>>>>> - What kind of job are your executing? Is it a streaming or >>>>>>>>> batch processing job? >>>>>>>>> - Which Flink deployment do you use? Standalone? Yarn? >>>>>>>>> - It would be helpful if you can share the Flink logs. >>>>>>>>> >>>>>>>>> >>>>>>>>> Thank you~ >>>>>>>>> >>>>>>>>> Xintong Song >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> On Wed, May 20, 2020 at 11:50 PM Vijay Balakrishnan < >>>>>>>>> bvijaykr@gmail.com> wrote: >>>>>>>>> >>>>>>>>>> Hi, >>>>>>>>>> I have increased the number of slots available but the Job is not >>>>>>>>>> using all the slots but runs into this approximate 18000 Tasks limit. >>>>>>>>>> Looking into the source code, it seems to be opening file - >>>>>>>>>> https://github.com/apache/flink/blob/master/flink-core/src/main/java/org/apache/flink/api/common/io/FileOutputFormat.java#L203 >>>>>>>>>> So, do I have to tune the ulimit or something similar at the >>>>>>>>>> Ubuntu O/S level to increase number of tasks available ? What I am confused >>>>>>>>>> about is the ulimit is per machine but the ExecutionGraph is across many >>>>>>>>>> machines ? Please pardon my ignorance here. Does number of tasks equate to >>>>>>>>>> number of open files. I am using 15 slots per TaskManager on AWS m5.4xlarge >>>>>>>>>> which has 16 vCPUs. >>>>>>>>>> >>>>>>>>>> TIA. >>>>>>>>>> >>>>>>>>>> On Tue, May 19, 2020 at 3:22 PM Vijay Balakrishnan < >>>>>>>>>> bvijaykr@gmail.com> wrote: >>>>>>>>>> >>>>>>>>>>> Hi, >>>>>>>>>>> >>>>>>>>>>> Flink Dashboard UI seems to show tasks having a hard limit for >>>>>>>>>>> Tasks column around 18000 on a Ubuntu Linux box. >>>>>>>>>>> I kept increasing the number of slots per task manager to 15 and >>>>>>>>>>> number of slots increased to 705 but the slots to tasks >>>>>>>>>>> stayed at around 18000. Below 18000 tasks, the Flink Job is able >>>>>>>>>>> to start up. >>>>>>>>>>> Even though I increased the number of slots, it still works when >>>>>>>>>>> 312 slots are being used. >>>>>>>>>>> >>>>>>>>>>> taskmanager.numberOfTaskSlots: 15 >>>>>>>>>>> >>>>>>>>>>> What knob can I tune to increase the number of Tasks ? >>>>>>>>>>> >>>>>>>>>>> Pls find attached the Flink Dashboard UI. >>>>>>>>>>> >>>>>>>>>>> TIA, >>>>>>>>>>> >>>>>>>>>>> --000000000000a53be805a6f7ec45 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable
Hi All,
The Job takes forever to startup and is now failing all= the time to startup.
Physical Memory:62.1 GBJVM Heap Size:15.0 GB
Flink= Managed Memory:10.5 GB
Attached a TM scree= nshot.

Tried increasing the foll= owing:

taskmanager.numberOfTaskSlots: 10
parallelism.default: 1rest.server.max-content-length: 314572800
taskmanager.network.memory.f= raction: 0.45
taskmanager.network.memory.max: 24gb
taskmanager.networ= k.memory.min: 500mb
akka.ask.timeout: 240s
cluster.evenly-spread-out-= slots: true
taskmanager.network.netty.client.connectTimeoutSec: 240
t= askmanager.network.detailed-metrics: true
taskmanager.network.memory.flo= ating-buffers-per-gate: 16
akka.tcp.timeout: 30s =C2=A0

There are= more than enough slots. Issue seems to be communicating over TCP with Remo= te Task managers ??

Getting this exception on a TaskManager:

= 2020-05-31 20:37:31,436 INFO =C2=A0org.apache.flink.runtime.taskmanager.Tas= k =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 - W= indow(TumblingEventTimeWindows(5000), EventTimeTrigger, MGroupingWindowAggr= egate, MGroupingAggregateWindowProcessing) (36/440) (921fe6761ce844a6850c5f= c67326b221) switched from DEPLOYING to FAILED.
org.apache.flink.runtime.= io.network.partition.consumer.PartitionConnectionException: Connection for = partition faea47916a206dc8d014694ec72ab577@95f71b39868d4e23a180ce11653dc4ca= not reachable.
at org.apache.flink.runtime.io.network.partition.consum= er.RemoteInputChannel.requestSubpartition(RemoteInputChannel.java:168)
= at org.apache.flink.runtime.io.network.partition.consumer.SingleInputGate.r= equestPartitions(SingleInputGate.java:237)
at org.apache.flink.runtime.= io.network.partition.consumer.SingleInputGate.setup(SingleInputGate.java:21= 5)
at org.apache.flink.runtime.taskmanager.InputGateWithMetrics.setup(I= nputGateWithMetrics.java:65)
at org.apache.flink.runtime.taskmanager.Ta= sk.setupPartitionsAndGates(Task.java:866)
at org.apache.flink.runtime.t= askmanager.Task.doRun(Task.java:621)
at org.apache.flink.runtime.taskma= nager.Task.run(Task.java:530)
at java.lang.Thread.run(Thread.java:748)<= br>--
at org.apache.flink.runtime.io.network.partition.consumer.RemoteI= nputChannel.requestSubpartition(RemoteInputChannel.java:168)
at org.apa= che.flink.runtime.io.network.partition.consumer.SingleInputGate.requestPart= itions(SingleInputGate.java:237)
at org.apache.flink.runtime.io.network= .partition.consumer.SingleInputGate.setup(SingleInputGate.java:215)
at = org.apache.flink.runtime.taskmanager.InputGateWithMetrics.setup(InputGateWi= thMetrics.java:65)
at org.apache.flink.runtime.taskmanager.Task.setupPa= rtitionsAndGates(Task.java:866)
at org.apache.flink.runtime.taskmanager= .Task.doRun(Task.java:621)
at org.apache.flink.runtime.taskmanager.Task= .run(Task.java:530)
at java.lang.Thread.run(Thread.java:748)
Caused = by: java.io.IOException: Connecting the channel failed: Connecting to remot= e task manager + '/10.127.106.54= :33564' has failed. This might indicate that the remote task manage= r has been lost.
at org.apache.flink.runtime.io.network.netty.Partition= RequestClientFactory$ConnectingChannel.waitForChannel(PartitionRequestClien= tFactory.java:197)
at org.apache.flink.runtime.io.network.netty.Partiti= onRequestClientFactory$ConnectingChannel.access$000(PartitionRequestClientF= actory.java:134)
at org.apache.flink.runtime.io.network.netty.Partition= RequestClientFactory.createPartitionRequestClient(PartitionRequestClientFac= tory.java:70)
at org.apache.flink.runtime.io.network.netty.NettyConnect= ionManager.createPartitionRequestClient(NettyConnectionManager.java:68)
= at org.apache.flink.runtime.io.network.partition.consumer.RemoteInputChann= el.requestSubpartition(RemoteInputChannel.java:165)
... 7 more
-- at org.apache.flink.runtime.io.network.netty.PartitionRequestClientFactor= y$ConnectingChannel.waitForChannel(PartitionRequestClientFactory.java:197)<= br> at org.apache.flink.runtime.io.network.netty.PartitionRequestClientFact= ory$ConnectingChannel.access$000(PartitionRequestClientFactory.java:134) at org.apache.flink.runtime.io.network.netty.PartitionRequestClientFactor= y.createPartitionRequestClient(PartitionRequestClientFactory.java:70)
a= t org.apache.flink.runtime.io.network.netty.NettyConnectionManager.createPa= rtitionRequestClient(NettyConnectionManager.java:68)
at org.apache.flin= k.runtime.io.network.partition.consumer.RemoteInputChannel.requestSubpartit= ion(RemoteInputChannel.java:165)
... 7 more
Caused by: org.apache.fl= ink.runtime.io.network.netty.exception.RemoteTransportException: Connecting= to remote task manager + '/10.1= 27.106.54:33564' has failed. This might indicate that the remote ta= sk manager has been lost.
at org.apache.flink.runtime.io.network.netty.= PartitionRequestClientFactory$ConnectingChannel.operationComplete(Partition= RequestClientFactory.java:220)
at org.apache.flink.runtime.io.network.n= etty.PartitionRequestClientFactory$ConnectingChannel.operationComplete(Part= itionRequestClientFactory.java:134)
at org.apache.flink.shaded.netty4.i= o.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:= 511)
at org.apache.flink.shaded.netty4.io.netty.util.concurrent.Default= Promise.notifyListeners0(DefaultPromise.java:504)
at org.apache.flink.s= haded.netty4.io.netty.util.concurrent.DefaultPromise.notifyListenersNow(Def= aultPromise.java:483)
at org.apache.flink.shaded.netty4.io.netty.util.c= oncurrent.DefaultPromise.notifyListeners(DefaultPromise.java:424)
at or= g.apache.flink.shaded.netty4.io.netty.util.concurrent.DefaultPromise.tryFai= lure(DefaultPromise.java:121)
at org.apache.flink.shaded.netty4.io.nett= y.channel.nio.AbstractNioChannel$AbstractNioUnsafe.fulfillConnectPromise(Ab= stractNioChannel.java:327)
at org.apache.flink.shaded.netty4.io.netty.c= hannel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioCh= annel.java:343)
at org.apache.flink.shaded.netty4.io.netty.channel.nio.= NioEventLoop.processSelectedKey(NioEventLoop.java:644)
at org.apache.fl= ink.shaded.netty4.io.netty.channel.nio.NioEventLoop.processSelectedKeysOpti= mized(NioEventLoop.java:591)
at org.apache.flink.shaded.netty4.io.netty= .channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:508)
at= org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop.run(NioEv= entLoop.java:470)
at org.apache.flink.shaded.netty4.io.netty.util.concu= rrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:909) ... 1 more
--
at org.apache.flink.runtime.io.network.netty.Partit= ionRequestClientFactory$ConnectingChannel.operationComplete(PartitionReques= tClientFactory.java:220)
at org.apache.flink.runtime.io.network.netty.P= artitionRequestClientFactory$ConnectingChannel.operationComplete(PartitionR= equestClientFactory.java:134)
at org.apache.flink.shaded.netty4.io.nett= y.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:511) at org.apache.flink.shaded.netty4.io.netty.util.concurrent.DefaultPromis= e.notifyListeners0(DefaultPromise.java:504)
at org.apache.flink.shaded.= netty4.io.netty.util.concurrent.DefaultPromise.notifyListenersNow(DefaultPr= omise.java:483)
at org.apache.flink.shaded.netty4.io.netty.util.concurr= ent.DefaultPromise.notifyListeners(DefaultPromise.java:424)
at org.apac= he.flink.shaded.netty4.io.netty.util.concurrent.DefaultPromise.tryFailure(D= efaultPromise.java:121)
at org.apache.flink.shaded.netty4.io.netty.chan= nel.nio.AbstractNioChannel$AbstractNioUnsafe.fulfillConnectPromise(Abstract= NioChannel.java:327)
at org.apache.flink.shaded.netty4.io.netty.channel= .nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.= java:343)
at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEve= ntLoop.processSelectedKey(NioEventLoop.java:644)
at org.apache.flink.sh= aded.netty4.io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(= NioEventLoop.java:591)
at org.apache.flink.shaded.netty4.io.netty.chann= el.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:508)
at org.a= pache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop.run(NioEventLoo= p.java:470)
at org.apache.flink.shaded.netty4.io.netty.util.concurrent.= SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:909)
...= 1 more
Caused by: org.apache.flink.shaded.netty4.io.netty.channel.Abstr= actChannel$AnnotatedConnectException: Connection timed out: /10.127.106.54:33564


On Fri, May 2= 9, 2020 at 12:43 PM Vijay Balakrishnan <bvijaykr@gmail.com> wrote:
Thx, Xintong for the detailed explanati= on of memory fraction. I increased the mem fraction now.

As I increase= the defaultParallelism, I keep getting this error:

org.apache.flink.runtime.io.network.partition.consumer.PartitionConnectionException: Connection for partition e312b2db4d1d0c65224664f620d06f7d@c3a4fb1e56a0996d9f2ff86dac6e483f not reachable.
=C2=A0=C2=A0= =C2=A0=C2=A0at org.apache.flink.runtime.io.network.partition.consumer.RemoteInputChannel.requestSubpartiti= on(RemoteInputChannel.java:168)
=C2=A0=C2=A0=C2=A0=C2= =A0at org.apache.flink.runtime.io.network.partition.consumer.SingleInputGate.requestPartitions(SingleInputGate.java:237)
=C2=A0=C2=A0=C2=A0=C2=A0at org.apache.= flink.runtime.io.network.partition.consumer.SingleInputGate.setup(Sin= gleInputGate.java:215)
=C2=A0=C2=A0=C2=A0=C2=A0at org.apache.flink.runtime.taskmanager.InputGateWithMetrics.setup(InputGateWithMetrics.java:65)
=C2=A0=C2=A0=C2=A0=C2=A0at or= g.apache.flink.runtime.taskmanager.Tas= k.setupPartitionsAndGates(Task<= /span>.java:866)
=C2= =A0=C2=A0=C2=A0=C2=A0at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:621)
=C2=A0=C2=A0=C2=A0=C2=A0at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530)
=C2=A0=C2=A0=C2=A0=C2=A0at java.lang.Thread.run(Thread.= java:748)
Caused = by: java.io.IOException: Connecting the channel failed: Connecting to remote task manager + '/10.9.239.218:45544' has failed. This might indicate that the remote task manager has been= lost.
=C2=A0=C2=A0=C2=A0=C2=A0at org.apache.flink.runtime.io.net= work.netty.PartitionRequestClientFacto= ry$ConnectingChannel.waitForChannel(PartitionRequestClientFactory.java:197)
=C2=A0=C2=A0=C2=A0=C2=A0at org.apache.flink.r= untime.io.network.netty.PartitionReque= stClientFactory$ConnectingChannel.access$000(PartitionRequestClientFactory.java:134)
=C2=A0=C2=A0=C2=A0=C2=A0at org.apach= e.flink.runtime.io.network.netty.Parti= tionRequestClientFactory.createPartitionRequestClient(PartitionRequestClientFactory.java:70)
=C2=A0=C2=A0=C2=A0=C2=A0at o= rg.apache.flink.runtime.io.network.netty.NettyConnectionManager.createPartitionRequestClient(NettyConnectionManager.java:68)
=C2=A0=C2=A0=C2=A0=C2=A0at org.a= pache.flink.runtime.io.network.partition.consumer.RemoteInputChannel.requestSubpartition(RemoteInputChannel.java:165)
=C2=A0=C2=A0=C2=A0=C2=A0... 7 more
Caused by: org.= apache.flink.runtime.io.network.netty.ex= ception.RemoteTransportExceptio= n: Connecting to remote = task manager + '/10.9.239.218:45544' h= as failed. This might indicate th= at the remote task manager has been lost.
=C2=A0=C2=A0=C2=A0=C2= =A0at org.apache.flink.runtime.io.network.netty.PartitionRequestClientFactory$ConnectingChannel.operationC= omplete(PartitionRequestClientFactory<= /span>.java:220)
=C2= =A0=C2=A0=C2=A0=C2=A0at org.apache.flink.runtime.io.network.netty.PartitionRequestClientFactory$ConnectingChannel= .operationComplete(PartitionReq= uestClientFactory.java:134)
=C2=A0=C2=A0=C2=A0=C2=A0at org.apache.flink.shaded.netty4.io.n= etty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:511)
=C2=A0= =C2=A0=C2=A0=C2=A0at org.apache.flink.shaded.netty4.io.netty.util.concurren= t.DefaultPromise.notifyListener= s0(DefaultPromise.java:504)
=C2=A0=C2=A0=C2=A0=C2=A0a= t org.apache.flink.shaded.netty4.io.netty.util.concurrent.DefaultPromise.notifyListenersNow(DefaultPromise.java:483)
=C2=A0=C2=A0=C2=A0=C2=A0at org.apache.flin= k.shaded.netty4.io.netty.util.concurrent.DefaultPromise.notifyListeners(DefaultPromise.java:424)
=C2=A0=C2=A0=C2=A0=C2=A0at org.apache.flink.shaded.netty4.io.n= etty.util.concurrent.DefaultPromise.tryFailure(DefaultPromise.= java:121)
=C2=A0=C2=A0= =C2=A0=C2=A0at org.apache.flink.shaded.netty4.io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.fu= lfillConnectPromise(AbstractNioChannel= .java:327)
=C2= =A0=C2=A0=C2=A0=C2=A0at org.apache.flink.shaded.netty4.io.netty.channel.nio= .AbstractNioChannel$AbstractNioUnsafe<= /span>.finishConnect(AbstractNioChanne= l.java:343)
=C2= =A0=C2=A0=C2=A0=C2=A0at org.apache.flink.shaded.netty4.io.netty.channel.nio= .NioEventLoop.processSelectedKe= y(NioEventLoop.java:644)
=C2=A0=C2=A0=C2=A0=C2=A0at o= rg.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:591)
=C2=A0=C2=A0=C2=A0=C2=A0at org.apache.fli= nk.shaded.netty4.io.netty.channel.nio.= NioEventLoop.processSelectedKeys(NioEventLoop.java:508)<= /div>
=C2=A0=C2=A0=C2=A0=C2=A0at org.apache.flink.shaded.netty4.io.nett= y.channel.nio.NioEventLoop.run(= NioEventLoop.java:470)
=C2=A0=C2=A0=C2=A0=C2=A0at o= rg.apache.flink.shaded.netty4.io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:909)
=C2=A0=C2=A0=C2=A0=C2=A0... 1 more
Caused by: o= rg.apache.flink.shaded.netty4.io.netty.channel.AbstractChannel$AnnotatedConnectException: Connection timed out: /10.9.239.218:= 45544
=C2=A0=C2=A0=C2= =A0=C2=A0at sun.nio.ch.= SocketChannelImpl.checkConnect(= Native Method)
=C2=A0=C2=A0=C2=A0=C2=A0at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:714)
=C2=A0=C2=A0=C2=A0=C2=A0at org.apache.flink.shad= ed.netty4.io.netty.channel.socket.nio.= NioSocketChannel.doFinishConnect(NioSocketChannel.java:327)
=C2=A0=C2=A0=C2=A0=C2=A0at org.apache.flink.shaded.netty4.io.= netty.channel.nio.AbstractNioChannel$A= bstractNioUnsafe.finishConnect(= AbstractNioChannel.java:340)
=C2=A0=C2=A0=C2=A0=C2=A0... 6 more
Caused by: java.net.Conne= ctException: Connection = timed out
=C2=A0=C2=A0=C2=A0=C2=A0... 10 more


On Wed, May 27, 2020 at 7:14 P= M Xintong Song <tonysong820@gmail.com> wrote:
Ah, I guess I had= misunderstood what your mean.

Below 18000 tasks, the Flink Job is able to star= t up.
Even though I increased the number of slots, i= t still works when 312 slots are being used.
Wh= en you say "it still works", I thought that you increased the par= allelism the job was sill executed as the parallelism was not increased.
From your latest reply, it seems the job's parallelism is indee= d increased, but then it runs into failures.

The r= eason you run into the=C2=A0"Insufficient number of network buffers&qu= ot; exception, is that with more tasks in your job, more inter-task data tr= ansmission channels, thus memory for network=C2=A0buffers, are needed.

To increase the network memory size, the following con= figuration options, as you already found, are related.
  • ta= skmanager.network.memory.fraction
  • taskmanager.network.memory.max
  • taskmanager.network.memory.min
Please be aware th= at `taskmanager.memory.task.off-heap.size` is not related to network memory= , and is only available in Flink 1.10 and above while=C2=A0you're using= 1.9.1 as suggested by the screenshots.

The networ= k memory size is calculated as `min(max(some_total= _value * network_fraction, network_min), network_max)`. According to= the error message, your current network memory size is `85922 buffers * 32KB/buffer =3D 2685MB`, smaller than your &q= uot;max" (4gb). That means increasing the "max" does not hel= p in your case. It is the "fraction" that you need to increase.

Thank you~

Xintong Song



On Thu, May 28, 2020 at 9:30= AM Vijay Balakrishnan <bvijaykr@gmail.com> wrote:
Hi Xintong,
Looks like the issue is not fully resolved :( Attaching 2 screenshots of = the memory consumption of 1 of the TaskManagers.

To increase the used up Direct memory off heap,Do I change this:=C2=A0 =C2=A0taskmanager.memory.task.off-heap.size: 5gb
I had increased the=C2=A0taskmanager.network.memory.max: 24gb
which s= eems excessive.
<= span style=3D"background-color:rgb(248,248,248);color:rgb(29,28,29);font-fa= mily:Slack-Lato,appleLogo,sans-serif;font-size:15px;font-variant-ligatures:= common-ligatures">
1 of the errors I saw in the Flink logs:

java.io.IOException: Insufficient number of network buffers: required 1= , but only 0 available. The total number of network buffers is currently se= t to 85922 of 32768 bytes each. You can increase this number by setting the= configuration keys 'taskmanager.network.memory.fraction', 'tas= kmanager.network.memory.min', and 'taskmanager.network.memory.max&#= 39;.
at org.apache.flink.runtime.io.network.buffer.NetworkBufferPool.cr= eateBufferPool(NetworkBufferPool.java:281)
at org.apache.flink.runtime.= io.network.partition.ResultPartitionFactory.lambda$createBufferPoolFactory$= 0(ResultPartitionFactory.java:191)

TIA,


On Wed, May 27, 2020 at 9:06 AM Vija= y Balakrishnan <= bvijaykr@gmail.com> wrote:
Thanks so much, Xintong for guiding me through this. I looked at the = Flink logs to see the errors.
I had to change=C2=A0taskmanager.network.memory.max: 4gb and=C2=A0akk= a.ask.timeout: 240s to increase the number=C2=A0of tasks.
Now, I am able to increase the number o= f Tasks/ aka Task vertices.

taskmanager.net= work.memory.fraction: 0.15
taskmanager.network.memory.max: 4gb
taskma= nager.network.memory.min: 500mb
akka.ask.timeout: 240s
On Tue, = May 26, 2020 at 8:42 PM Xintong Song <tonysong820@gmail.com> wrote:
Could you also explain how do you set the parallelism when getting thi= s execution plan?
I'm asking because this json file itself on= ly shows the resulted execution plan. It is not clear to me what is not wor= king as expected in your case. E.g., you set the parallelism for an operato= r to 10 but the execution plan only shows 5.

Thank you~

Xintong Song



On Wed, May 27, 2020 at 3:16 AM Vijay Balakrishnan &= lt;bvijaykr@gmail.c= om> wrote:
Hi Xintong= ,
Thanks for the excelle= nt clarification for tasks.

I attached a sa= mple screenshot above and din't reflect the slots used and the tasks li= mit I was running=C2=A0into in that pic.

I = am attaching my Execution=C2=A0plan here. Please let me know how I can incr= ease the nmber of tasks aka parallelism. As=C2=A0 increase the parallelism,= i run into this bottleneck with the tasks.

BTW - The=C2=A0https://flink.apac= he.org/visualizer/=C2=A0is a great start to see this.
TIA,

On Sun, May 24, 2020 at 7:52 = PM Xintong Song <tonysong820@gmail.com> wrote:
Increasing netwo= rk memory buffers (fraction, min, max) seems to increase tasks slightly.
That's wired. I don't think the number of net= work memory buffers have anything to do with the task amount.
Let me try to clarify a few things.

Pl= ease be aware that, how many tasks a Flink job has, and how many slots a Fl= ink cluster has, are two different things.
- The number of tasks = are decided by your job's parallelism and topology. E.g., if your job g= raph have 3 vertices A, B and C, with parallelism 2, 3, 4 respectively. The= n you would have totally=C2=A09 (2+3+4) tasks.
- The number of sl= ots are decided by number of TMs and slots-per-TM.
- For streamin= g jobs, you have to make sure the number of slots is enough for executing a= ll your tasks. The number of slots needed for executing your job is by defa= ult the max parallelism of your job graph vertices. Take the above example,= you would need 4 slots, because it's the max among all the vertices= 9; parallelisms (2, 3, 4).

In your case, the scree= nshot shows that you job has 9621 tasks in total (not around 18000, the dar= k box shows total tasks while the green box shows running tasks), and 600 s= lots are in use (658 - 58) suggesting that the max parallelism of your job = graph vertices is 600.

If you want to increase the= number of tasks, you should increase your job parallelism. There are sever= al ways to do that.
  • In your job codes (assuming you are u= sing DataStream API)
    • Use `StreamExecutionEnvironment#setParalle= lism()` to set parallelism for all operators.
    • Use `SingleOutputStre= amOperator#setParallelism()` to set parallelism for a specific operator. (O= nly supported for subclasses of `SingleOutputStreamOperator`.)
    When submitting your job, use `-p <parallelism>` as an argument for = the `flink run` command, to set parallelism for all operators.
  • Set = `parallelism.default` in your `flink-conf.yaml`, to set a default paralleli= sm for your jobs. This will be used for jobs that have not set parallelism = with neither of the above methods.

Thank you~

Xinto= ng Song



On Sat, May 23, 2020 at 1:11 AM Vijay Balakrishnan <bvijaykr@gmail.com> wrote= :
Hi Xintong,
Thx for your reply.=C2=A0=C2=A0Increasing network memory buffers (fract= ion, min, max) seems to increase tasks slightly.
<= br>
Streaming job
Stand= alone

Vijay

On Fri, May 22, 2020 at 2:49 AM Xintong Song <tonysong820@gmail.com> wrote:
= Hi Vijay,

I don't think your problem is related to number of op= ening files. The parallelism of your job is decided before actually tries t= o open the files. And if the OS limit for opening files is reached, you sho= uld see a job execution failure, instead of a success execution with a lowe= r parallelism.

Could you share some more informati= on about your use case?
  • What kind of job are your executi= ng? Is it a streaming or batch processing job?
  • Which Flink deployme= nt do you use? Standalone? Yarn?
  • It would be helpful if you can sha= re the Flink logs.

Thank you~

Xintong Song=


=

On Wed, May 20, 2020 at 11:50 PM Vijay Balakrishnan <bvijaykr@gmail.com> wrote= :
Hi,
I have increased the number of slots avail= able but the Job is not using all the slots but runs into this approximate = 18000 Tasks limit. Looking into the source code, it seems to be opening fil= e -=C2=A0https://gi= thub.com/apache/flink/blob/master/flink-core/src/main/java/org/apache/flink= /api/common/io/FileOutputFormat.java#L203
So, do I have to tune the ulimit or something similar= at the Ubuntu O/S level to increase number of tasks available ? What I am = confused about is the ulimit is per machine but the ExecutionGraph is acros= s many machines ? Please pardon my ignorance here. Does number of tasks equ= ate to number of open files.=C2=A0I am using 15 slots per TaskManager on AW= S m5.4xlarge which has 16 vCPUs.

TIA.
=

= On Tue, May 19, 2020 at 3:22 PM Vijay Balakrishnan <bvijaykr@gmail.com> wrote:
Hi,

Flink Dashboard UI see= ms to show tasks having a hard limit for Tasks column around 18000 on a Ubu= ntu Linux box.
I kept increasing the number of slots per task manager to= 15 and number of slots increased to 705 but the slots to tasks
stayed a= t around 18000. Below 18000 tasks, the Flink Job is able to start up.
Ev= en though I increased the number of slots, it still works when 312 slots ar= e being used.

taskmanager.numberOfTaskSlots: 15

What knob can= I tune to increase the number of Tasks ?

Pls find attached the Flin= k Dashboard UI.

TIA,

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