From user-return-10440-apmail-spark-user-archive=spark.apache.org@spark.apache.org Mon Jun 30 19:27:31 2014 Return-Path: X-Original-To: apmail-spark-user-archive@minotaur.apache.org Delivered-To: apmail-spark-user-archive@minotaur.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id ED59211C26 for ; Mon, 30 Jun 2014 19:27:31 +0000 (UTC) Received: (qmail 6792 invoked by uid 500); 30 Jun 2014 19:27:30 -0000 Delivered-To: apmail-spark-user-archive@spark.apache.org Received: (qmail 6747 invoked by uid 500); 30 Jun 2014 19:27:30 -0000 Mailing-List: contact user-help@spark.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: user@spark.apache.org Delivered-To: mailing list user@spark.apache.org Received: (qmail 6737 invoked by uid 99); 30 Jun 2014 19:27:30 -0000 Received: from athena.apache.org (HELO athena.apache.org) (140.211.11.136) by apache.org (qpsmtpd/0.29) with ESMTP; Mon, 30 Jun 2014 19:27:30 +0000 X-ASF-Spam-Status: No, hits=3.1 required=5.0 tests=DC_IMAGE_SPAM_HTML,DC_IMAGE_SPAM_TEXT,DC_PNG_UNO_LARGO,HTML_IMAGE_ONLY_20,HTML_MESSAGE,RCVD_IN_DNSWL_LOW,SPF_NEUTRAL X-Spam-Check-By: apache.org Received-SPF: neutral (athena.apache.org: local policy) Received: from [209.85.212.169] (HELO mail-wi0-f169.google.com) (209.85.212.169) by apache.org (qpsmtpd/0.29) with ESMTP; Mon, 30 Jun 2014 19:27:25 +0000 Received: by mail-wi0-f169.google.com with SMTP id hi2so6304490wib.2 for ; Mon, 30 Jun 2014 12:27:03 -0700 (PDT) X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20130820; h=x-gm-message-state:mime-version:in-reply-to:references:date :message-id:subject:from:to:content-type; bh=h4nC621/eOUl4C/PcF1HeqUYWpDiIYKdS2BUTus+Hpg=; b=Cv2i5SvKiyZ3pCtVnrFjwCsopPqJOu55VgesSyQ6zRp++vJ5onTF2kXqz2Vm8OgE/t vQE1Kp4UDdQl7udbEhRyPByBumpvpp2LOqU18pE1G4h2SUK5COlkn+Ks/vXiEqKXY6Jq o9NGqyjakEBpDshqrZVaQwkkI0zjGX+1knyKtUrHf+WpjNi+TZPWa9XlnvcKOn7/iYv7 vz9HOtkXbUV3NsjZ6GavBOivQtc7okmu7mDoKRQe1qh+35uGKSS4ob3tFrwmArahUnKQ sZp+FACwWf+v0V3LnK0G2pj31LefAFug5RgdWW6IVWJ0Nw+NxDX8lL86JhwlTLUOfdfq qavQ== X-Gm-Message-State: ALoCoQkeo8+2Jb+2EIORG3/h4QrLrva/xHicLTTKFrRevsKdtxmxm+ehykK2C60RN38vmODJtSun MIME-Version: 1.0 X-Received: by 10.194.10.130 with SMTP id i2mr47591903wjb.70.1404156423187; Mon, 30 Jun 2014 12:27:03 -0700 (PDT) Received: by 10.194.136.179 with HTTP; Mon, 30 Jun 2014 12:27:02 -0700 (PDT) In-Reply-To: References: Date: Mon, 30 Jun 2014 12:27:02 -0700 Message-ID: Subject: Re: persistence and fault tolerance in Spark Streaming From: Chris Fregly To: "user@spark.apache.org" Content-Type: multipart/related; boundary=047d7b450586d10ad604fd12a44d X-Virus-Checked: Checked by ClamAV on apache.org --047d7b450586d10ad604fd12a44d Content-Type: multipart/alternative; boundary=047d7b450586d10ad004fd12a44c --047d7b450586d10ad004fd12a44c Content-Type: text/plain; charset=UTF-8 @TD: could you provide some guidance on this? these same types of questions come up a lot in the field - and i'd like to have a solid answer for folks. thanks so much! -chris On Wed, May 28, 2014 at 10:45 AM, Diana Carroll wrote: > As I understand it, Spark streaming automatically persists (replication = > 2) windowed dstreams, but not regular dstreams. > > So my question is, what happens in the case of worker node failure with a > non-windowed dstream whose data source is a network stream? > > Say I'm getting a feed of log data, and one of my workers drops out > halfway through an operation. What happens? Non-streaming RDDs are > resilient because they can be recomputed from the source file, but in this > case there is no source file. If the original data from the stream wasn't > replicated, does that mean it's just lost? Will the task just fail? Will > the job fail? > > Also, I tried testing on a cluster with two workers and a windowed > dstream. The "Storage" tab in the app UI does show the data being > persisted, but only with single replication. Is that because my cluster is > too small? > > [image: Inline image 1] > > Thanks, > Diana > --047d7b450586d10ad004fd12a44c Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable
@TD: =C2=A0could you provide some guidance on this? =C2=A0= these same types of questions come up a lot in the field - and i'd like= to have a solid answer for folks.

thanks so much!
=

-chris


On Wed, May 28, 2014 at 10:45 AM, Diana Carroll <dca= rroll@cloudera.com> wrote:
As I understand it, Spark s= treaming automatically persists (replication =3D 2) windowed dstreams, but = not regular dstreams.

So my question is, what happens in the case of worker node f= ailure with a non-windowed dstream whose data source is a network stream?

Say I'm getting a feed of log data, and one of my w= orkers drops out halfway through an operation. =C2=A0What happens? =C2=A0No= n-streaming RDDs are resilient because they can be recomputed from the sour= ce file, but in this case there is no source file. =C2=A0If the original da= ta from the stream wasn't replicated, does that mean it's just lost= ? =C2=A0Will the task just fail? =C2=A0Will the job fail?

Also, I tried testing on a cluster with two workers and= a windowed dstream. =C2=A0The "Storage" tab in the app UI does s= how the data being persisted, but only with single replication. =C2=A0Is th= at because my cluster is too small?

3D"Inline

Thanks,
Diana

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