Return-Path: X-Original-To: apmail-cassandra-commits-archive@www.apache.org Delivered-To: apmail-cassandra-commits-archive@www.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id 1BB21185C8 for ; Fri, 7 Aug 2015 09:15:48 +0000 (UTC) Received: (qmail 84743 invoked by uid 500); 7 Aug 2015 09:15:47 -0000 Delivered-To: apmail-cassandra-commits-archive@cassandra.apache.org Received: (qmail 84711 invoked by uid 500); 7 Aug 2015 09:15:47 -0000 Mailing-List: contact commits-help@cassandra.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@cassandra.apache.org Delivered-To: mailing list commits@cassandra.apache.org Received: (qmail 84696 invoked by uid 99); 7 Aug 2015 09:15:47 -0000 Received: from arcas.apache.org (HELO arcas.apache.org) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 07 Aug 2015 09:15:47 +0000 Date: Fri, 7 Aug 2015 09:15:47 +0000 (UTC) From: "Stefania (JIRA)" To: commits@cassandra.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (CASSANDRA-8630) Faster sequential IO (on compaction, streaming, etc) MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 [ https://issues.apache.org/jira/browse/CASSANDRA-8630?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14661541#comment-14661541 ] Stefania commented on CASSANDRA-8630: ------------------------------------- About byte ordering, it seems OHC insists on native byte ordering, which is little-endian on linux x86_64. Not a big problem, we can force the ordering to big-endian in the serializers. However, I think this means we always pay the price of swapping bytes when using direct byte buffers. Here is the implementation of {{getInt()}} in DirectByteBuffer.java: {code} private int getInt(long a) { if (unaligned) { int x = unsafe.getInt(a); return (nativeByteOrder ? x : Bits.swap(x)); } return Bits.getInt(a, bigEndian); } {code} Forcing byte ordering to big-endian doesn't mean {{nativeByteOrder}] becomes true: {code} public final ByteBuffer order(ByteOrder bo) { bigEndian = (bo == ByteOrder.BIG_ENDIAN); nativeByteOrder = (bigEndian == (Bits.byteOrder() == ByteOrder.BIG_ENDIAN)); return this; } {code} where {{Bits.byteOrder()}} return the platform endianess. So wouldn't we be better off forcing native byte ordering rather than big-endian? > Faster sequential IO (on compaction, streaming, etc) > ---------------------------------------------------- > > Key: CASSANDRA-8630 > URL: https://issues.apache.org/jira/browse/CASSANDRA-8630 > Project: Cassandra > Issue Type: Improvement > Components: Core, Tools > Reporter: Oleg Anastasyev > Assignee: Stefania > Labels: compaction, performance > Fix For: 3.x > > Attachments: 8630-FasterSequencialReadsAndWrites.txt, cpu_load.png, flight_recorder_001_files.tar.gz > > > When node is doing a lot of sequencial IO (streaming, compacting, etc) a lot of CPU is lost in calls to RAF's int read() and DataOutputStream's write(int). > This is because default implementations of readShort,readLong, etc as well as their matching write* are implemented with numerous calls of byte by byte read and write. > This makes a lot of syscalls as well. > A quick microbench shows than just reimplementation of these methods in either way gives 8x speed increase. > A patch attached implements RandomAccessReader.read and SequencialWriter.write methods in more efficient way. > I also eliminated some extra byte copies in CompositeType.split and ColumnNameHelper.maxComponents, which were on my profiler's hotspot method list during tests. > A stress tests on my laptop show that this patch makes compaction 25-30% faster on uncompressed sstables and 15% faster for compressed ones. > A deployment to production shows much less CPU load for compaction. > (I attached a cpu load graph from one of our production, orange is niced CPU load - i.e. compaction; yellow is user - i.e. not compaction related tasks) -- This message was sent by Atlassian JIRA (v6.3.4#6332)