Return-Path: X-Original-To: apmail-hive-dev-archive@www.apache.org Delivered-To: apmail-hive-dev-archive@www.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id A60DAC463 for ; Wed, 7 Jan 2015 18:32:34 +0000 (UTC) Received: (qmail 90654 invoked by uid 500); 7 Jan 2015 18:32:35 -0000 Delivered-To: apmail-hive-dev-archive@hive.apache.org Received: (qmail 90531 invoked by uid 500); 7 Jan 2015 18:32:34 -0000 Mailing-List: contact dev-help@hive.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@hive.apache.org Delivered-To: mailing list dev@hive.apache.org Received: (qmail 90316 invoked by uid 500); 7 Jan 2015 18:32:34 -0000 Delivered-To: apmail-hadoop-hive-dev@hadoop.apache.org Received: (qmail 90284 invoked by uid 99); 7 Jan 2015 18:32:34 -0000 Received: from arcas.apache.org (HELO arcas.apache.org) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Wed, 07 Jan 2015 18:32:34 +0000 Date: Wed, 7 Jan 2015 18:32:34 +0000 (UTC) From: "Mostafa Mokhtar (JIRA)" To: hive-dev@hadoop.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Updated] (HIVE-9277) Hybrid Hybrid Grace Hash Join MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 [ https://issues.apache.org/jira/browse/HIVE-9277?page=3Dcom.atlassian= .jira.plugin.system.issuetabpanels:all-tabpanel ] Mostafa Mokhtar updated HIVE-9277: ---------------------------------- Assignee: (was: Mostafa Mokhtar) > Hybrid Hybrid Grace Hash Join > ----------------------------- > > Key: HIVE-9277 > URL: https://issues.apache.org/jira/browse/HIVE-9277 > Project: Hive > Issue Type: New Feature > Components: Physical Optimizer > Reporter: Wei Zheng > Labels: join > > We are proposing an enhanced hash join algorithm called =E2=80=9Chybrid h= ybrid grace hash join=E2=80=9D. We can benefit from this feature as illustr= ated below: > o The query will not fail even if the estimated memory requirement is sli= ghtly wrong > o Expensive garbage collection overhead can be avoided when hash table gr= ows > o Join execution using a Map join operator even though the small table do= esn't fit in memory as spilling some data from the build and probe sides wi= ll still be cheaper than having to shuffle the large fact table > The design was based on Hadoop=E2=80=99s parallel processing capability a= nd significant amount of memory available. -- This message was sent by Atlassian JIRA (v6.3.4#6332)