Return-Path: X-Original-To: archive-asf-public-internal@cust-asf2.ponee.io Delivered-To: archive-asf-public-internal@cust-asf2.ponee.io Received: from cust-asf.ponee.io (cust-asf.ponee.io [163.172.22.183]) by cust-asf2.ponee.io (Postfix) with ESMTP id B0001200B13 for ; Wed, 1 Jun 2016 07:23:19 +0200 (CEST) Received: by cust-asf.ponee.io (Postfix) id AEA8D160A47; Wed, 1 Jun 2016 05:23:19 +0000 (UTC) Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by cust-asf.ponee.io (Postfix) with SMTP id EE07C160A41 for ; Wed, 1 Jun 2016 07:23:18 +0200 (CEST) Received: (qmail 94294 invoked by uid 500); 1 Jun 2016 05:23:13 -0000 Mailing-List: contact dev-help@kafka.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@kafka.apache.org Delivered-To: mailing list dev@kafka.apache.org Received: (qmail 94265 invoked by uid 99); 1 Jun 2016 05:23:12 -0000 Received: from arcas.apache.org (HELO arcas) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Wed, 01 Jun 2016 05:23:12 +0000 Received: from arcas.apache.org (localhost [127.0.0.1]) by arcas (Postfix) with ESMTP id D587E2C1F60 for ; Wed, 1 Jun 2016 05:23:12 +0000 (UTC) Date: Wed, 1 Jun 2016 05:23:12 +0000 (UTC) From: "Jay Kreps (JIRA)" To: dev@kafka.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (KAFKA-3769) KStream job spending 60% of time writing metrics MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 archived-at: Wed, 01 Jun 2016 05:23:19 -0000 [ https://issues.apache.org/jira/browse/KAFKA-3769?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15309288#comment-15309288 ] Jay Kreps commented on KAFKA-3769: ---------------------------------- Nice catch. > KStream job spending 60% of time writing metrics > ------------------------------------------------ > > Key: KAFKA-3769 > URL: https://issues.apache.org/jira/browse/KAFKA-3769 > Project: Kafka > Issue Type: Bug > Components: streams > Affects Versions: 0.10.0.0 > Reporter: Greg Fodor > Assignee: Guozhang Wang > Priority: Critical > > I've been profiling a complex streams job, and found two major hotspots when writing metrics, which take up about 60% of the CPU time of the job. (!) A PR is attached. -- This message was sent by Atlassian JIRA (v6.3.4#6332)