Return-Path: X-Original-To: apmail-hive-user-archive@www.apache.org Delivered-To: apmail-hive-user-archive@www.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id 98DD818F4B for ; Sat, 17 Oct 2015 15:06:07 +0000 (UTC) Received: (qmail 40737 invoked by uid 500); 17 Oct 2015 15:06:02 -0000 Delivered-To: apmail-hive-user-archive@hive.apache.org Received: (qmail 40663 invoked by uid 500); 17 Oct 2015 15:06:02 -0000 Mailing-List: contact user-help@hive.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: user@hive.apache.org Delivered-To: mailing list user@hive.apache.org Received: (qmail 40653 invoked by uid 99); 17 Oct 2015 15:06:02 -0000 Received: from Unknown (HELO spamd3-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Sat, 17 Oct 2015 15:06:02 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd3-us-west.apache.org (ASF Mail Server at spamd3-us-west.apache.org) with ESMTP id 040CD180EA7 for ; Sat, 17 Oct 2015 15:06:02 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd3-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: 3.98 X-Spam-Level: *** X-Spam-Status: No, score=3.98 tagged_above=-999 required=6.31 tests=[HTML_MESSAGE=3, KAM_LAZY_DOMAIN_SECURITY=1, RCVD_IN_MSPIKE_H3=-0.01, RCVD_IN_MSPIKE_WL=-0.01] autolearn=disabled Received: from mx1-eu-west.apache.org ([10.40.0.8]) by localhost (spamd3-us-west.apache.org [10.40.0.10]) (amavisd-new, port 10024) with ESMTP id S0Sf0nPagHg8 for ; Sat, 17 Oct 2015 15:06:00 +0000 (UTC) Received: from mail-lb0-f174.google.com (mail-lb0-f174.google.com [209.85.217.174]) by mx1-eu-west.apache.org (ASF Mail Server at mx1-eu-west.apache.org) with ESMTPS id DCB2920925 for ; Sat, 17 Oct 2015 15:05:59 +0000 (UTC) Received: by lbbwb3 with SMTP id wb3so55874705lbb.1 for ; Sat, 17 Oct 2015 08:05:59 -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:cc:content-type; bh=m4u6MTpORRFAEr7ig2QyTj41pYevWFQ9p8qj/aUhTgk=; b=GMBLGekmrUFAHQ1OlnZYg0nzfy1QUtSRUoDprLukq70FQ8Jlz00d0tpV7XB7nWHjyQ SscX3SJ8eZ+h3E1ZYeXuGfY6P5eW2Zs8YGRSSam2M+zWbIYLbcu5kbFFyscMXX1e1cvB xDAa4/uQIIlK416UrB1DkZrPFG9zobCbQg6F+5FW9VHCbC1vG5oQ2inM0ZEvmu/gFwCW oNnxT/+CTqrXqCtatzvI5p1I7GzeqrWfO4gCQVHwzrutNkwe8T2cgnuOuC68x5relZOh Cu3Zd9k+5z80zYrgSLANa0upBU4EbQVZ8NzgcN/9/ABkjclLJjJzQCaWN0R3vibav2Ps iLAQ== X-Gm-Message-State: ALoCoQlTjEUzYV62x34ooGimRqsSxkrpKTU4sSKO4UZBTlv/EdgmZjbkRl6FZXNQ0PofLEw26Gw4 MIME-Version: 1.0 X-Received: by 10.112.139.201 with SMTP id ra9mr10697487lbb.29.1445094359028; Sat, 17 Oct 2015 08:05:59 -0700 (PDT) Received: by 10.25.144.194 with HTTP; Sat, 17 Oct 2015 08:05:58 -0700 (PDT) In-Reply-To: References: Date: Sat, 17 Oct 2015 18:05:58 +0300 Message-ID: Subject: Re: Merging small files From: Daniel Haviv To: Gopal Vijayaraghavan Cc: "user@hive.apache.org" Content-Type: multipart/mixed; boundary=001a11c25d4ef01b9905224e3fc9 --001a11c25d4ef01b9905224e3fc9 Content-Type: multipart/alternative; boundary=001a11c25d4ef01b8f05224e3fc7 --001a11c25d4ef01b8f05224e3fc7 Content-Type: text/plain; charset=UTF-8 Thanks for the tip Gopal. I tried what you suggested (on Tez) but I'm getting a middle stage with 1 reducer (which is awful for performance). This is my query: insert into upstreamparam_org partition(day_ts, cmtsid) select * from upstreamparam_20151013 order by datats,macaddress; I've attached the query plan in case it might help understand why. Thank you. Daniel. On Fri, Oct 16, 2015 at 7:19 PM, Gopal Vijayaraghavan wrote: > > > Is there a more efficient way to have Hive merge small files on the > >files without running with two passes? > > Not entirely an efficient way, but adding a shuffle stage usually works > much better as it gives you the ability to layout the files for better > vectorization. > > Like for TPC-H, doing ETL with > > create table lineitem as select * from lineitem sort by l_shipdate, > l_suppkey; > > will produce fewer files (exactly as many as your reducer #) & compresses > harder due to the natural order of transactions (saves ~20Gb or so at 1000 > scale). > > Caveat: that is not more efficient in MRv2, only in Tez/Spark which can > run MRR pipelines as-is. > > Cheers, > Gopal > > > --001a11c25d4ef01b8f05224e3fc7 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable
Thanks for the tip Gopal.
I tried what you suggested (= on Tez) but I'm getting a middle stage with 1 reducer (which is awful f= or performance).

This is my query:
= insert into upstreamparam_org partition(day_ts, cmtsid) select * from upstr= eamparam_20151013 order by datats,macaddress;

I've attached the query plan in case it might help understand why.

Thank you.
Daniel.




On Fri, Oct 16, 2015 at 7:19 PM, Gopal Vijayaraghavan <go= palv@apache.org> wrote:

> Is there a more efficient way to have Hive merge small files on the >files without running with two passes?

Not entirely an efficient way, but adding a shuffle stage usually wo= rks
much better as it gives you the ability to layout the files for better
vectorization.

Like for TPC-H, doing ETL with

create table lineitem as select * from lineitem sort by l_shipdate,
l_suppkey;

will produce fewer files (exactly as many as your reducer #) & compress= es
harder due to the natural order of transactions (saves ~20Gb or so at 1000<= br> scale).

Caveat: that is not more efficient in MRv2, only in Tez/Spark which can
run MRR pipelines as-is.

Cheers,
Gopal



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