From common-issues-return-158415-archive-asf-public=cust-asf.ponee.io@hadoop.apache.org Mon Sep 24 21:04:05 2018 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 [140.211.11.3]) by mx-eu-01.ponee.io (Postfix) with SMTP id C14EF180649 for ; Mon, 24 Sep 2018 21:04:04 +0200 (CEST) Received: (qmail 21267 invoked by uid 500); 24 Sep 2018 19:04:03 -0000 Mailing-List: contact common-issues-help@hadoop.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Delivered-To: mailing list common-issues@hadoop.apache.org Received: (qmail 21255 invoked by uid 99); 24 Sep 2018 19:04:03 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd1-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Mon, 24 Sep 2018 19:04:03 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd1-us-west.apache.org (ASF Mail Server at spamd1-us-west.apache.org) with ESMTP id 595BDC9953 for ; Mon, 24 Sep 2018 19:04:03 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd1-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: -110.301 X-Spam-Level: X-Spam-Status: No, score=-110.301 tagged_above=-999 required=6.31 tests=[ENV_AND_HDR_SPF_MATCH=-0.5, RCVD_IN_DNSWL_MED=-2.3, SPF_PASS=-0.001, USER_IN_DEF_SPF_WL=-7.5, USER_IN_WHITELIST=-100] autolearn=disabled Received: from mx1-lw-eu.apache.org ([10.40.0.8]) by localhost (spamd1-us-west.apache.org [10.40.0.7]) (amavisd-new, port 10024) with ESMTP id Ng2y2EiSJXSy for ; Mon, 24 Sep 2018 19:04:02 +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 7481E5F5A6 for ; Mon, 24 Sep 2018 19:04:01 +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 9EFD8E00A5 for ; Mon, 24 Sep 2018 19:04:00 +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 63C3423F99 for ; Mon, 24 Sep 2018 19:04:00 +0000 (UTC) Date: Mon, 24 Sep 2018 19:04:00 +0000 (UTC) From: "Da Zhou (JIRA)" To: common-issues@hadoop.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (HADOOP-15407) Support Windows Azure Storage - Blob file system in Hadoop MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 [ https://issues.apache.org/jira/browse/HADOOP-15407?page=3Dcom.atlassi= an.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=3D16= 626277#comment-16626277 ]=20 Da Zhou commented on HADOOP-15407: ---------------------------------- Hi, since HADOOP-15407 is merged to trunk, should we move all the unfinishe= d/ongoing sub tasks to HADOOP-15763 =C3=9Cber-JIRA: abfs phase II? > Support Windows Azure Storage - Blob file system in Hadoop > ---------------------------------------------------------- > > Key: HADOOP-15407 > URL: https://issues.apache.org/jira/browse/HADOOP-15407 > Project: Hadoop Common > Issue Type: New Feature > Components: fs/azure > Affects Versions: 3.2.0 > Reporter: Esfandiar Manii > Assignee: Da Zhou > Priority: Blocker > Attachments: HADOOP-15407-001.patch, HADOOP-15407-002.patch, HADO= OP-15407-003.patch, HADOOP-15407-004.patch, HADOOP-15407-008.patch, HADOOP-= 15407-HADOOP-15407-008.patch, HADOOP-15407-HADOOP-15407.006.patch, HADOOP-1= 5407-HADOOP-15407.007.patch, HADOOP-15407-HADOOP-15407.008.patch > > > *{color:#212121}Description{color}* > This JIRA adds a new file system implementation, ABFS, for running Big D= ata and Analytics workloads against Azure Storage. This is a complete rewri= te of the previous WASB driver with a heavy focus on optimizing both perfor= mance and cost. > {color:#212121}=C2=A0{color} > *{color:#212121}High level design{color}* > At a high level, the code here extends the FileSystem class to provide a= n implementation for accessing blobs in Azure Storage. The scheme abfs is u= sed for accessing it over HTTP, and abfss for accessing over HTTPS. The fol= lowing URI scheme is used to address individual paths: > {color:#212121}=C2=A0{color} > {color:#212121}abfs[s]://@.dfs.core.windows.net/{color} > {color:#212121}=C2=A0{color} > {color:#212121}ABFS is intended as a replacement to WASB. WASB is not de= precated but is in pure maintenance mode and customers should upgrade to AB= FS once it hits General Availability later in CY18.{color} > {color:#212121}Benefits of ABFS include:{color} > {color:#212121}=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0Higher scale (capacity, throughput, and IOPS) Big Data and Analytics wor= kloads by allowing higher limits on storage accounts{color} > {color:#212121}=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0Removing any ramp up time with Storage backend partitioning; blocks are = now automatically sharded across partitions in the Storage backend{color} > {color:#212121}=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 .=C2=A0 =C2=A0 =C2=A0 = =C2=A0 =C2=A0This avoids the need for using temporary/intermediate files, i= ncreasing the cost (and framework complexity around committing jobs/tasks){= color} > {color:#212121}=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0Enabling much higher read and write throughput on single files (tens of = Gbps by default){color} > {color:#212121}=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0Still retaining all of the Azure Blob features customers are familiar wi= th and expect, and gaining the benefits of future Blob features as well{col= or} > {color:#212121}ABFS incorporates Hadoop Filesystem metrics to monitor th= e file system throughput and operations. Ambari metrics are not currently i= mplemented for ABFS, but will be available soon.{color} > {color:#212121}=C2=A0{color} > *{color:#212121}Credits and history{color}* > Credit for this work goes to (hope I don't forget anyone): Shane Mainali= ,=C2=A0{color:#212121}Thomas Marquardt, Zichen Sun, Georgi Chalakov, Esfand= iar Manii, Amit Singh, Dana Kaban, Da Zhou, Junhua Gu, Saher Ahwal, Saurabh= Pant, and James Baker.=C2=A0{color} > {color:#212121}=C2=A0{color} > *Test* > ABFS has gone through many test procedures including Hadoop file system = contract tests, unit testing, functional testing, and manual testing. All t= he Junit tests provided with the driver are capable of running in both sequ= ential/parallel fashion in order to reduce the testing time. > {color:#212121}Besides unit tests, we have used ABFS as the default file= system in Azure HDInsight. Azure HDInsight will very soon offer ABFS as a = storage option. (HDFS is also used but not as default file system.) Various= different customer and test workloads have been run against clusters with = such configurations for quite some time. Benchmarks such as Tera*, TPC-DS, = Spark Streaming and Spark SQL, and others have been run to do scenario, per= formance, and functional testing. Third parties and customers have also don= e various testing of ABFS.{color} > {color:#212121}The current version reflects to the version of the code t= ested and used in our production environment.{color} -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: common-issues-unsubscribe@hadoop.apache.org For additional commands, e-mail: common-issues-help@hadoop.apache.org