Return-Path: X-Original-To: apmail-incubator-ambari-dev-archive@minotaur.apache.org Delivered-To: apmail-incubator-ambari-dev-archive@minotaur.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id 4D430F501 for ; Wed, 10 Apr 2013 06:44:12 +0000 (UTC) Received: (qmail 79638 invoked by uid 500); 10 Apr 2013 06:44:12 -0000 Delivered-To: apmail-incubator-ambari-dev-archive@incubator.apache.org Received: (qmail 79524 invoked by uid 500); 10 Apr 2013 06:44:11 -0000 Mailing-List: contact ambari-dev-help@incubator.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: ambari-dev@incubator.apache.org Delivered-To: mailing list ambari-dev@incubator.apache.org Received: (qmail 79497 invoked by uid 99); 10 Apr 2013 06:44:11 -0000 Received: from nike.apache.org (HELO nike.apache.org) (192.87.106.230) by apache.org (qpsmtpd/0.29) with ESMTP; Wed, 10 Apr 2013 06:44:11 +0000 X-ASF-Spam-Status: No, hits=-0.7 required=5.0 tests=RCVD_IN_DNSWL_LOW,SPF_PASS X-Spam-Check-By: apache.org Received-SPF: pass (nike.apache.org: domain of mahadev@hortonworks.com designates 209.85.128.175 as permitted sender) Received: from [209.85.128.175] (HELO mail-ve0-f175.google.com) (209.85.128.175) by apache.org (qpsmtpd/0.29) with ESMTP; Wed, 10 Apr 2013 06:44:04 +0000 Received: by mail-ve0-f175.google.com with SMTP id pb11so108086veb.20 for ; Tue, 09 Apr 2013 23:43:44 -0700 (PDT) X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=google.com; s=20120113; h=mime-version:x-received:in-reply-to:references:date:message-id :subject:from:to:cc:content-type:content-transfer-encoding :x-gm-message-state; bh=aqQH7jvcszJzJHorIEKWK0xkSNfs4QTP1T1aTkmbTDs=; b=BZ6Fo3X/pzZ8SQHkE7Cmt3Pmpgjff2/hcR8MRkLMd75SF/h05vZJvTdvi9I9PP5yxb YrBlkVBe0d40uxpheRsDoTa0Y0WoOBRSuOjFGFtcSOVmV5b1Geh5aFkcBnltioqKvM7c WDl0SsXvmHlxIMWH7kU19dcPhxaJ2iX2vBxgr599bLSZFvnKm4PnrQAdhw4wt9vY6S4q jIe1bjKgtz2OXXrOOygHSmZCWDdKD2kwIRvzqcljtIe2TVPRUW9trcFLhd8qBiiepKhN YUgIDXgIUma8JU2rMOlDPpbL/Kzecpm+D3Gm2pdfyUidnz+2EHLCgmIzQRulMcNT9TWm 6VmQ== MIME-Version: 1.0 X-Received: by 10.52.179.105 with SMTP id df9mr460812vdc.49.1365576223929; Tue, 09 Apr 2013 23:43:43 -0700 (PDT) Received: by 10.58.147.72 with HTTP; Tue, 9 Apr 2013 23:43:43 -0700 (PDT) In-Reply-To: <1825029524.1147580.1365549812307.JavaMail.root@redhat.com> References: <1825029524.1147580.1365549812307.JavaMail.root@redhat.com> Date: Tue, 9 Apr 2013 23:43:43 -0700 Message-ID: Subject: Re: Enhancing Ambari to support other file systems in addition to HDFS From: Mahadev Konar To: ambari-dev@incubator.apache.org Cc: Jeff Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable X-Gm-Message-State: ALoCoQl7ZFMeAFJrTP6TIvVvEOviL/VLCJAZy6rBUFlYKpCrwnwPw7lBTeFFaD2e7gcag+4pgidQ X-Virus-Checked: Checked by ClamAV on apache.org Jeff, Great to see this effort going. As you stated, the first part would be to start with bare bones level (no HDFS). Waiting to see more on this. thanks mahadev On Tue, Apr 9, 2013 at 4:23 PM, Jeff Vance wrote: > A team at Red Hat is looking to expand the filesystem choices supported i= n Ambari to include other Hadoop Compatible File Systems (HCFS), including = Red Hat's filesystem based on GlusterFS. > > We'd like to start a discussion on how to architect this capability in a = way that fits in with existing Ambari service configurations, is expandable= , supports differences among the various Hadoop compatible file systems, an= d is compatible with existing Ambari deployments. > > There could be different levels of Hadoop Compatible File System "support= ". For example, a bare-bones level could be that Ambari does not require HD= FS to be running and does not interfere with the HCFS service. The next lev= el could be that Ambari provides some monitoring and statistics for the HCF= S. A higher level could be that Ambari can deploy the HCFS, etc. > > We have opened JIRA AMBARI-1817 as an umbrella JIRA for HCFS support in A= mbari. We welcome community input. > > Thanks, > Red Hat Big Data Team