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 75664200CAD for ; Wed, 28 Jun 2017 16:02:18 +0200 (CEST) Received: by cust-asf.ponee.io (Postfix) id 73E19160BF7; Wed, 28 Jun 2017 14:02:18 +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 B9B33160BE8 for ; Wed, 28 Jun 2017 16:02:17 +0200 (CEST) Received: (qmail 7557 invoked by uid 500); 28 Jun 2017 14:02:17 -0000 Mailing-List: contact issues-help@carbondata.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@carbondata.apache.org Delivered-To: mailing list issues@carbondata.apache.org Received: (qmail 7548 invoked by uid 99); 28 Jun 2017 14:02:16 -0000 Received: from git1-us-west.apache.org (HELO git1-us-west.apache.org) (140.211.11.23) by apache.org (qpsmtpd/0.29) with ESMTP; Wed, 28 Jun 2017 14:02:16 +0000 Received: by git1-us-west.apache.org (ASF Mail Server at git1-us-west.apache.org, from userid 33) id D5D18E041D; Wed, 28 Jun 2017 14:02:16 +0000 (UTC) From: gvramana To: issues@carbondata.apache.org Reply-To: issues@carbondata.apache.org References: In-Reply-To: Subject: [GitHub] carbondata pull request #1032: [CARBONDATA-1149] Fixed range info overlappin... Content-Type: text/plain Message-Id: <20170628140216.D5D18E041D@git1-us-west.apache.org> Date: Wed, 28 Jun 2017 14:02:16 +0000 (UTC) archived-at: Wed, 28 Jun 2017 14:02:18 -0000 Github user gvramana commented on a diff in the pull request: https://github.com/apache/carbondata/pull/1032#discussion_r124549140 --- Diff: integration/spark-common/src/main/scala/org/apache/carbondata/spark/util/CommonUtil.scala --- @@ -288,6 +297,69 @@ object CommonUtil { result } + def validateForOverLappingRangeValues(desType: Option[String], + rangeInfoArray: Array[String]): Boolean = { + val rangeInfoValuesValid = desType match { + case Some("IntegerType") | Some("int") => + val intRangeInfoArray = rangeInfoArray.map(_.toInt) + val sortedRangeInfoArray = intRangeInfoArray.sorted + intRangeInfoArray.sameElements(sortedRangeInfoArray) + case Some("StringType") | Some("string") => + val sortedRangeInfoArray = rangeInfoArray.sorted + rangeInfoArray.sameElements(sortedRangeInfoArray) + case a if (desType.get.startsWith("varchar") || desType.get.startsWith("char")) => + val sortedRangeInfoArray = rangeInfoArray.sorted + rangeInfoArray.sameElements(sortedRangeInfoArray) + case Some("LongType") | Some("long") | Some("bigint") => + val longRangeInfoArray = rangeInfoArray.map(_.toLong) + val sortedRangeInfoArray = longRangeInfoArray.sorted + longRangeInfoArray.sameElements(sortedRangeInfoArray) + case Some("FloatType") | Some("float") => + val floatRangeInfoArray = rangeInfoArray.map(_.toFloat) + val sortedRangeInfoArray = floatRangeInfoArray.sorted + floatRangeInfoArray.sameElements(sortedRangeInfoArray) + case Some("DoubleType") | Some("double") => + val doubleRangeInfoArray = rangeInfoArray.map(_.toDouble) + val sortedRangeInfoArray = doubleRangeInfoArray.sorted + doubleRangeInfoArray.sameElements(sortedRangeInfoArray) + case Some("ByteType") | Some("tinyint") => + val byteRangeInfoArray = rangeInfoArray.map(_.toByte) + val sortedRangeInfoArray = byteRangeInfoArray.sorted + byteRangeInfoArray.sameElements(sortedRangeInfoArray) + case Some("ShortType") | Some("smallint") => + val shortRangeInfoArray = rangeInfoArray.map(_.toShort) + val sortedRangeInfoArray = shortRangeInfoArray.sorted + shortRangeInfoArray.sameElements(sortedRangeInfoArray) + case Some("BooleanType") | Some("boolean") => + true + case a if (desType.get.startsWith("DecimalType") || desType.get.startsWith("decimal")) => + val decimalRangeInfoArray = rangeInfoArray.map(value => BigDecimal(value)) --- End diff -- Bigdecimal precision and scale needs to be considered , other wise two ranges can overlap after converting value during dataload. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastructure@apache.org or file a JIRA ticket with INFRA. ---