Return-Path: X-Original-To: apmail-drill-issues-archive@minotaur.apache.org Delivered-To: apmail-drill-issues-archive@minotaur.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id CDFB118199 for ; Thu, 31 Dec 2015 02:26:49 +0000 (UTC) Received: (qmail 11339 invoked by uid 500); 31 Dec 2015 02:26:49 -0000 Delivered-To: apmail-drill-issues-archive@drill.apache.org Received: (qmail 11301 invoked by uid 500); 31 Dec 2015 02:26:49 -0000 Mailing-List: contact issues-help@drill.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@drill.apache.org Delivered-To: mailing list issues@drill.apache.org Received: (qmail 11274 invoked by uid 99); 31 Dec 2015 02:26:49 -0000 Received: from arcas.apache.org (HELO arcas) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 31 Dec 2015 02:26:49 +0000 Received: from arcas.apache.org (localhost [127.0.0.1]) by arcas (Postfix) with ESMTP id 9093F2C0451 for ; Thu, 31 Dec 2015 02:26:49 +0000 (UTC) Date: Thu, 31 Dec 2015 02:26:49 +0000 (UTC) From: "Aman Sinha (JIRA)" To: issues@drill.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Created] (DRILL-4237) Skew in hash distribution MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 Aman Sinha created DRILL-4237: --------------------------------- Summary: Skew in hash distribution Key: DRILL-4237 URL: https://issues.apache.org/jira/browse/DRILL-4237 Project: Apache Drill Issue Type: Bug Components: Functions - Drill Affects Versions: 1.4.0 Reporter: Aman Sinha Apparently, the fix in DRILL-4119 did not fully resolve the data skew issue. It worked fine on the smaller sample of the data set but on another sample of the same data set, it still produces skewed values - see below the hash values which are all odd numbers. {noformat} 0: jdbc:drill:zk=local> select columns[0], hash32(columns[0]) from `test.csv` limit 10; +-----------------------------------+--------------+ | EXPR$0 | EXPR$1 | +-----------------------------------+--------------+ | f71aaddec3316ae18d43cb1467e88a41 | 1506011089 | | 3f3a13bb45618542b5ac9d9536704d3a | 1105719049 | | 6935afd0c693c67bba482cedb7a2919b | -18137557 | | ca2a938d6d7e57bda40501578f98c2a8 | -1372666789 | | fab7f08402c8836563b0a5c94dbf0aec | -1930778239 | | 9eb4620dcb68a84d17209da279236431 | -970026001 | | 16eed4a4e801b98550b4ff504242961e | 356133757 | | a46f7935fea578ce61d8dd45bfbc2b3d | -94010449 | | 7fdf5344536080c15deb2b5a2975a2b7 | -141361507 | | b82560a06e2e51b461c9fe134a8211bd | -375376717 | +-----------------------------------+--------------+ {noformat} This indicates an underlying issue with the XXHash64 java implementation, which is Drill's implementation of the C version. One of the key difference as pointed out by Jacques was the use of unsigned int64 in the C version compared to the Java version which uses (signed) long. I created an XXHash version using com.google.common.primitives.UnsignedLong. However, UnsignedLong does not have bit-wise operations that are needed for XXHash such as rotateLeft(), XOR etc. One could write wrappers for these but at this point, the question is: should we think of an alternative hash function ? The alternative approach could be the murmur hash for numeric data types that we were using earlier and the Mahout version of hash function for string types (https://github.com/apache/drill/blob/master/exec/java-exec/src/main/java/org/apache/drill/exec/expr/fn/impl/HashHelper.java#L28). As a test, I reverted to this function and was getting good hash distribution for the test data. I could not find any performance comparisons of our perf tests (TPC-H or DS) with the original and newer (XXHash) hash functions. If performance is comparable, should we revert to the original function ? As an aside, I would like to remove the hash64 versions of the functions since these are not used anywhere. -- This message was sent by Atlassian JIRA (v6.3.4#6332)