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 26291200C62 for ; Wed, 12 Apr 2017 00:42:46 +0200 (CEST) Received: by cust-asf.ponee.io (Postfix) id 24B2A160B9E; Tue, 11 Apr 2017 22:42:46 +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 6C085160B9B for ; Wed, 12 Apr 2017 00:42:45 +0200 (CEST) Received: (qmail 29157 invoked by uid 500); 11 Apr 2017 22:42:44 -0000 Mailing-List: contact mapreduce-issues-help@hadoop.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Delivered-To: mailing list mapreduce-issues@hadoop.apache.org Received: (qmail 29146 invoked by uid 99); 11 Apr 2017 22:42:44 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd4-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Tue, 11 Apr 2017 22:42:44 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd4-us-west.apache.org (ASF Mail Server at spamd4-us-west.apache.org) with ESMTP id 177BAC0D33 for ; Tue, 11 Apr 2017 22:42:44 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd4-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: -99.202 X-Spam-Level: X-Spam-Status: No, score=-99.202 tagged_above=-999 required=6.31 tests=[KAM_ASCII_DIVIDERS=0.8, RP_MATCHES_RCVD=-0.001, SPF_PASS=-0.001, USER_IN_WHITELIST=-100] autolearn=disabled Received: from mx1-lw-eu.apache.org ([10.40.0.8]) by localhost (spamd4-us-west.apache.org [10.40.0.11]) (amavisd-new, port 10024) with ESMTP id FyGyaMjTJL30 for ; Tue, 11 Apr 2017 22:42:43 +0000 (UTC) Received: from mailrelay1-us-west.apache.org (mailrelay1-us-west.apache.org [209.188.14.139]) by mx1-lw-eu.apache.org (ASF Mail Server at mx1-lw-eu.apache.org) with ESMTP id 9752960DA2 for ; Tue, 11 Apr 2017 22:42:42 +0000 (UTC) Received: from jira-lw-us.apache.org (unknown [207.244.88.139]) by mailrelay1-us-west.apache.org (ASF Mail Server at mailrelay1-us-west.apache.org) with ESMTP id E2556E0D3C for ; Tue, 11 Apr 2017 22:42:41 +0000 (UTC) Received: from jira-lw-us.apache.org (localhost [127.0.0.1]) by jira-lw-us.apache.org (ASF Mail Server at jira-lw-us.apache.org) with ESMTP id 99D892406A for ; Tue, 11 Apr 2017 22:42:41 +0000 (UTC) Date: Tue, 11 Apr 2017 22:42:41 +0000 (UTC) From: "Suraj Nayak (JIRA)" To: mapreduce-issues@hadoop.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (MAPREDUCE-5907) Improve getSplits() performance for fs implementations that can utilize performance gains from recursive listing MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 archived-at: Tue, 11 Apr 2017 22:42:46 -0000 [ https://issues.apache.org/jira/browse/MAPREDUCE-5907?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15965069#comment-15965069 ] Suraj Nayak commented on MAPREDUCE-5907: ---------------------------------------- Yeah, Thanks [~ksumit] for the quick reply. I would wait on some committer to give some suggestion as of today so I or you can resume work if the issue is till open. There has been a lot of changes since the earlier suggestion was made :) > Improve getSplits() performance for fs implementations that can utilize performance gains from recursive listing > ---------------------------------------------------------------------------------------------------------------- > > Key: MAPREDUCE-5907 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-5907 > Project: Hadoop Map/Reduce > Issue Type: Improvement > Components: client > Affects Versions: 2.4.0 > Reporter: Sumit Kumar > Assignee: Sumit Kumar > Labels: BB2015-05-TBR > Attachments: MAPREDUCE-5907-2.patch, MAPREDUCE-5907-3.patch, MAPREDUCE-5907.patch > > > FileInputFormat (both mapreduce and mapred implementations) use recursive listing while calculating splits. They however do this by doing listing level by level. That means to discover files in /foo/bar means they do listing at /foo/bar first to get the immediate children, then make the same call on all immediate children for /foo/bar to discover their immediate children and so on. This doesn't scale well for object store based fs implementations like s3 and swift because every listStatus call ends up being a webservice call to backend. In cases where large number of files are considered for input, this makes getSplits() call slow. > This patch adds a new set of recursive list apis that gives opportunity to the fs implementations to optimize. The behavior remains the same for other implementations (that is a default implementation is provided for other fs so they don't have to implement anything new). However for objectstore based fs implementations it provides a simple change to include recursive flag as true (as shown in the patch) to improve listing performance. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: mapreduce-issues-unsubscribe@hadoop.apache.org For additional commands, e-mail: mapreduce-issues-help@hadoop.apache.org