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 56895200BAA for ; Thu, 27 Oct 2016 15:33:00 +0200 (CEST) Received: by cust-asf.ponee.io (Postfix) id 55301160B01; Thu, 27 Oct 2016 13:33:00 +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 9CF5B160AE4 for ; Thu, 27 Oct 2016 15:32:59 +0200 (CEST) Received: (qmail 20386 invoked by uid 500); 27 Oct 2016 13:32:58 -0000 Mailing-List: contact issues-help@hbase.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Delivered-To: mailing list issues@hbase.apache.org Received: (qmail 20359 invoked by uid 99); 27 Oct 2016 13:32:58 -0000 Received: from arcas.apache.org (HELO arcas) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 27 Oct 2016 13:32:58 +0000 Received: from arcas.apache.org (localhost [127.0.0.1]) by arcas (Postfix) with ESMTP id 7076C2C2A69 for ; Thu, 27 Oct 2016 13:32:58 +0000 (UTC) Date: Thu, 27 Oct 2016 13:32:58 +0000 (UTC) From: "Eshcar Hillel (JIRA)" To: issues@hbase.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (HBASE-16417) In-Memory MemStore Policy for Flattening and Compactions MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 archived-at: Thu, 27 Oct 2016 13:33:00 -0000 [ https://issues.apache.org/jira/browse/HBASE-16417?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15611902#comment-15611902 ] Eshcar Hillel commented on HBASE-16417: --------------------------------------- The report of the first round of experiment is ready however I cannot attach it here. Can anyone assign this subtask to me so I can attach files in it? Meanwhile, I will attach it in the umbrella Jira. The summary of the report is as follows -- Main difference in configuration vs previous benchmarks: 1. Since we run on a 48GB ram machine we allocate only 16GB to HBase (and not 32GB). 2. Saturation point was found when running 10 threads (and not 50); see more details in the report. 3. We write 50GB (and not 150GB) just to have the experiments shorter since we run many different settings. First round of experiments compares different options (no-, index-, data-compaction) under write-only workload with uniform keys distribution using PE. We see that up until the 95th percentile all options are comparable. At the 99th percentile data compaction starts to lag behind -- indeed in a uniform workload there is not much point in doing data compaction. The overhead might stem from running SQM to determine which versions to retain. One way to close this gap is to not run data compaction when there is no gain in it. A good policy should be able to identify this with no extra cost. At the 99.999th percentile index compaction also exhibits significant overhead. This might be due to memory reclamation of temporary indices. > In-Memory MemStore Policy for Flattening and Compactions > -------------------------------------------------------- > > Key: HBASE-16417 > URL: https://issues.apache.org/jira/browse/HBASE-16417 > Project: HBase > Issue Type: Sub-task > Reporter: Anastasia Braginsky > Assignee: Anastasia Braginsky > Fix For: 2.0.0 > > -- This message was sent by Atlassian JIRA (v6.3.4#6332)