Return-Path: X-Original-To: apmail-flink-user-archive@minotaur.apache.org Delivered-To: apmail-flink-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 093FB18C5B for ; Wed, 11 Nov 2015 09:14:11 +0000 (UTC) Received: (qmail 92769 invoked by uid 500); 11 Nov 2015 09:14:10 -0000 Delivered-To: apmail-flink-user-archive@flink.apache.org Received: (qmail 92688 invoked by uid 500); 11 Nov 2015 09:14:10 -0000 Mailing-List: contact user-help@flink.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: user@flink.apache.org Delivered-To: mailing list user@flink.apache.org Received: (qmail 92678 invoked by uid 99); 11 Nov 2015 09:14:10 -0000 Received: from Unknown (HELO spamd4-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Wed, 11 Nov 2015 09:14:10 +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 30A9DC0F3D for ; Wed, 11 Nov 2015 09:14:10 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd4-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: 3.01 X-Spam-Level: *** X-Spam-Status: No, score=3.01 tagged_above=-999 required=6.31 tests=[DC_PNG_UNO_LARGO=0.001, DKIM_SIGNED=0.1, DKIM_VALID=-0.1, HEADER_FROM_DIFFERENT_DOMAINS=0.008, HTML_MESSAGE=3, URIBL_BLOCKED=0.001] autolearn=disabled Authentication-Results: spamd4-us-west.apache.org (amavisd-new); dkim=pass (2048-bit key) header.d=gmail.com Received: from mx1-us-west.apache.org ([10.40.0.8]) by localhost (spamd4-us-west.apache.org [10.40.0.11]) (amavisd-new, port 10024) with ESMTP id SOEdiHFqLcBb for ; Wed, 11 Nov 2015 09:13:56 +0000 (UTC) Received: from mail-qg0-f49.google.com (mail-qg0-f49.google.com [209.85.192.49]) by mx1-us-west.apache.org (ASF Mail Server at mx1-us-west.apache.org) with ESMTPS id B4388203C1 for ; Wed, 11 Nov 2015 09:13:55 +0000 (UTC) Received: by qgeb1 with SMTP id b1so19005347qge.1 for ; Wed, 11 Nov 2015 01:13:55 -0800 (PST) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:sender:in-reply-to:references:date:message-id:subject :from:to:content-type; bh=awB6QRUyBVeFZ7pIUyYvqeM3eAo5uOIMNmZv7AbRqbY=; b=pZYu/eq9B19bKoVhMrXpfbhSl3ZtMvQ43u0G9w8FFzKqMNIG4TrHeoJJ5a7QmeV7t5 Lq4Fn1u3dYtbd6/JyvYorYngVHSCbJBlQW9MlW3W4/r5sC7UWEmp38knYoKlExHXYuHR jN9ozC3S9vC80b9eesJMJhL2GmucPWvAMxGcBaWbydnfincs1GA656LK1CWrREXhliWg QLmZpUJFZMyua9ttZQSzSzIecFvMcylobcHn/u4KdtFVCDDnuO7ZSvCce2DYhN0uVp2q ObFoZR4WzTj5aaKQLtsZfeILmy++UiMjgiKgXJL9tWUmWvD1WB8+qpgdhDZ9JXIGaQha RC5g== MIME-Version: 1.0 X-Received: by 10.140.31.38 with SMTP id e35mr9480743qge.22.1447233234828; Wed, 11 Nov 2015 01:13:54 -0800 (PST) Sender: ewenstephan@gmail.com Received: by 10.55.147.1 with HTTP; Wed, 11 Nov 2015 01:13:54 -0800 (PST) In-Reply-To: References: Date: Wed, 11 Nov 2015 10:13:54 +0100 X-Google-Sender-Auth: UBnDfrgIzyaT0gWnnlva5Ceq2hU Message-ID: Subject: Re: Flink, Kappa and Lambda From: Stephan Ewen To: user@flink.apache.org Content-Type: multipart/related; boundary=001a113abf4cdedce30524403e7a --001a113abf4cdedce30524403e7a Content-Type: multipart/alternative; boundary=001a113abf4cdedcde0524403e79 --001a113abf4cdedcde0524403e79 Content-Type: text/plain; charset=UTF-8 Hi! Can you explain a little more what you want to achieve? Maybe then we can give a few more comments... I briefly read through some of the articles you linked, but did not quite understand their train of thoughts. For example, letting Tomcat write to Cassandra directly, and to Kafka, might just be redundant. Why not let the streaming job that reads the Kafka queue move the data to Cassandra as one of its results? Further more, durable storing the sequence of events is exactly what Kafka does, but the article suggests to use Cassandra for that, which I find very counter intuitive. It looks a bit like the suggested approach is only adopting streaming for half the task. Greetings, Stephan On Tue, Nov 10, 2015 at 7:49 AM, Welly Tambunan wrote: > Hi All, > > I read a couple of article about Kappa and Lambda Architecture. > > > http://www.confluent.io/blog/real-time-stream-processing-the-next-step-for-apache-flink/ > > I'm convince that Flink will simplify this one with streaming. > > However i also stumble upon this blog post that has valid argument to have > a system of record storage ( event sourcing ) and finally lambda > architecture is appear at the solution. Basically it will write twice to > Queuing system and C* for safety. System of record here is basically > storing the event (delta). > > [image: Inline image 1] > > > https://lostechies.com/ryansvihla/2015/09/17/event-sourcing-and-system-of-record-sane-distributed-development-in-the-modern-era-2/ > > Another approach is about lambda architecture for maintaining the > correctness of the system. > > > https://lostechies.com/ryansvihla/2015/09/17/real-time-analytics-with-spark-streaming-and-cassandra/ > > > Given that he's using Spark for the streaming processor, do we have to do > the same thing with Apache Flink ? > > > > Cheers > -- > Welly Tambunan > Triplelands > > http://weltam.wordpress.com > http://www.triplelands.com > --001a113abf4cdedcde0524403e79 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable
Hi!

Can you explain a little more what = you want to achieve? Maybe then we can give a few more comments...

I briefly read through some of the articles you linked, bu= t did not quite understand their train of thoughts.
For example, = letting Tomcat write to Cassandra directly, and to Kafka, might just be red= undant. Why not let the streaming job that reads the Kafka queue
= move the data to Cassandra as one of its results? Further more, durable sto= ring the sequence of events is exactly what Kafka does, but the article
suggests to use Cassandra for that, which I find very counter intuit= ive. It looks a bit like the suggested approach is only adopting streaming = for half the task.

Greetings,
Stepha= n


On Tue, Nov 10, 2015 at 7:49 AM, Welly Tambunan <if05041@gmail.= com> wrote:
Hi All,=C2=A0

I read a couple of article about Kappa a= nd Lambda Architecture.=C2=A0


I= 9;m convince that Flink will simplify this one with streaming.=C2=A0
<= div>
However i also stumble upon this blog post that has vali= d argument to have a system of record storage ( event sourcing ) and finall= y lambda architecture is appear at the solution. Basically it will write tw= ice to Queuing system and C* for safety. System of record here is basically= storing the event (delta).=C2=A0

3D"Inline


Another approach is about = lambda architecture for maintaining the correctness of the system.=C2=A0



Given that he's using Spark for the streaming processor, do we have = to do the same thing with Apache Flink ?=C2=A0


Cheers
--
Welly Tambunan
Triplelands=C2=A0

<= a href=3D"http://weltam.wordpress.com" target=3D"_blank">http://weltam.word= press.com

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