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 89AB6200C44 for ; Mon, 27 Mar 2017 21:25:51 +0200 (CEST) Received: by cust-asf.ponee.io (Postfix) id 88828160B85; Mon, 27 Mar 2017 19:25:51 +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 D0AD7160B7B for ; Mon, 27 Mar 2017 21:25:50 +0200 (CEST) Received: (qmail 32578 invoked by uid 500); 27 Mar 2017 19:25:50 -0000 Mailing-List: contact user-help@kudu.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: user@kudu.apache.org Delivered-To: mailing list user@kudu.apache.org Received: (qmail 32567 invoked by uid 99); 27 Mar 2017 19:25:50 -0000 Received: from mail-relay.apache.org (HELO mail-relay.apache.org) (140.211.11.15) by apache.org (qpsmtpd/0.29) with ESMTP; Mon, 27 Mar 2017 19:25:50 +0000 Received: from mail-wr0-f173.google.com (mail-wr0-f173.google.com [209.85.128.173]) by mail-relay.apache.org (ASF Mail Server at mail-relay.apache.org) with ESMTPSA id 9D9731A05A7 for ; Mon, 27 Mar 2017 19:25:49 +0000 (UTC) Received: by mail-wr0-f173.google.com with SMTP id u1so72067556wra.2 for ; Mon, 27 Mar 2017 12:25:49 -0700 (PDT) X-Gm-Message-State: AFeK/H0/qRDMaeslX2NhUql/a3Nyvw1qIcim7selUqGcGxvw6HQm3AQ0c9HOb1hsOzVrX1BbQg+CRUR8HMsbhg== X-Received: by 10.28.212.79 with SMTP id l76mr10985477wmg.6.1490642748221; Mon, 27 Mar 2017 12:25:48 -0700 (PDT) MIME-Version: 1.0 Received: by 10.80.142.22 with HTTP; Mon, 27 Mar 2017 12:25:07 -0700 (PDT) In-Reply-To: <413A67CD-120A-48A5-8B31-6C229780CF54@gmail.com> References: <413A67CD-120A-48A5-8B31-6C229780CF54@gmail.com> From: Mike Percy Date: Mon, 27 Mar 2017 12:25:07 -0700 X-Gmail-Original-Message-ID: Message-ID: Subject: Re: Spark on Kudu Roadmap To: user@kudu.apache.org Content-Type: multipart/alternative; boundary=001a1146ed9e7ecf10054bbb4fb0 archived-at: Mon, 27 Mar 2017 19:25:51 -0000 --001a1146ed9e7ecf10054bbb4fb0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Hi Ben, I don't really know so I'll let someone else more familiar with the Spark integration chime in on that. However I searched the Kudu JIRA and I don't see a tracking ticket filed on this (the closest thing I could find was https://issues.apache.org/jira/browse/KUDU-1676 ) so you may want to file a JIRA to help track this feature. Mike On Mon, Mar 27, 2017 at 11:55 AM, Benjamin Kim wrote: > Hi Mike, > > I believe what we are looking for is this below. It is an often request > use case. > > Anyone know if the Spark package will ever allow for creating tables in > Spark SQL? > > Such as: > CREATE EXTERNAL TABLE > USING org.apache.kudu.spark.kudu > OPTIONS (Map("kudu.master" -> =E2=80=9C", "kudu.table= " -> > =E2=80=9Ctable-name=E2=80=9D)); > > In this way, plain SQL can be used to do DDL, DML statements whether in > Spark SQL code or using JDBC to interface with Spark SQL Thriftserver. > > > Thanks, > Ben > > > > On Mar 27, 2017, at 11:01 AM, Mike Percy wrote: > > Hi Ben, > Is there anything in particular you are looking for? > > Thanks, > Mike > > On Mon, Mar 27, 2017 at 9:48 AM, Benjamin Kim wrote: > >> Hi, >> >> Are there any plans for deeper integration with Spark especially Spark >> SQL? Is there a roadmap to look at, so I can know what to expect in the >> future? >> >> Cheers, >> Ben > > > > --001a1146ed9e7ecf10054bbb4fb0 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable
Hi Ben,
I don't really know so I'll let someon= e else more familiar with the Spark integration chime in on that. However I= searched the Kudu JIRA and I don't see a tracking ticket filed on this= (the closest thing I could find was=C2=A0https://issues.apache.org/jira/browse/KUDU-1676<= /a> ) so you may want to file a JIRA to help track this feature.

On Mon, Mar 27, 2017 at 11:55 AM, Benjamin Kim= <bbuild11@gmail.com> wrote:
Hi Mike,

I belie= ve what we are looking for is this below. It is an often request use case.<= /div>

Anyone know if the Spark package will ever allow for cre= ating tables in Spark SQL?

Such as:
=C2= =A0 =C2=A0 =C2=A0 =C2=A0CREATE EXTERNAL TABLE <table-name>
= =C2=A0 =C2=A0 =C2=A0 =C2=A0USING org.apache.kudu.spark.kudu
=C2= =A0 =C2=A0 =C2=A0 =C2=A0OPTIONS (Map("kudu.master" -> =E2=80= =9C<kudu-master>", "kudu.table" -> =E2=80=9Ctable-n= ame=E2=80=9D));

In this way, plain SQL can be used= to do DDL, DML statements whether in Spark SQL code or using JDBC to inter= face with Spark SQL Thriftserver.

Th= anks,
Ben



On Mar 27, 2017, at 11:01 AM, Mike Percy <mpercy@apache.org>= wrote:

=
Hi Ben,
Is there anything in particular you are l= ooking for?

Thanks,
Mike

On Mon, Mar 27, 2017 = at 9:48 AM, Benjamin Kim <bbuild11@gmail.com> wrote:
Hi,

Are there any plans for deeper integration with Spark especially Spark SQL?= Is there a roadmap to look at, so I can know what to expect in the future?=

Cheers,
Ben



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