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 949CD200BAE for ; Fri, 23 Sep 2016 02:10:22 +0200 (CEST) Received: by cust-asf.ponee.io (Postfix) id 9357F160AAD; Fri, 23 Sep 2016 00:10:22 +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 A6027160AE0 for ; Fri, 23 Sep 2016 02:10:21 +0200 (CEST) Received: (qmail 85107 invoked by uid 500); 23 Sep 2016 00:10:20 -0000 Mailing-List: contact issues-help@spark.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Delivered-To: mailing list issues@spark.apache.org Received: (qmail 85077 invoked by uid 99); 23 Sep 2016 00:10:20 -0000 Received: from arcas.apache.org (HELO arcas) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 23 Sep 2016 00:10:20 +0000 Received: from arcas.apache.org (localhost [127.0.0.1]) by arcas (Postfix) with ESMTP id 6E7F92C0D57 for ; Fri, 23 Sep 2016 00:10:20 +0000 (UTC) Date: Fri, 23 Sep 2016 00:10:20 +0000 (UTC) From: "Xiangrui Meng (JIRA)" To: issues@spark.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Updated] (SPARK-17641) collect_set should ignore null values MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 archived-at: Fri, 23 Sep 2016 00:10:22 -0000 [ https://issues.apache.org/jira/browse/SPARK-17641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiangrui Meng updated SPARK-17641: ---------------------------------- Description: `collect_set` throws the following exception when there are null values. It should ignore null values to be consistent with other aggregation methods. {code} java.lang.IllegalArgumentException: Flat hash tables cannot contain null elements. at scala.collection.mutable.FlatHashTable$HashUtils$class.elemHashCode(FlatHashTable.scala:390) at scala.collection.mutable.HashSet.elemHashCode(HashSet.scala:41) at scala.collection.mutable.FlatHashTable$class.addEntry(FlatHashTable.scala:136) at scala.collection.mutable.HashSet.addEntry(HashSet.scala:41) at scala.collection.mutable.HashSet.$plus$eq(HashSet.scala:60) at scala.collection.mutable.HashSet.$plus$eq(HashSet.scala:41) at org.apache.spark.sql.catalyst.expressions.aggregate.Collect.update(collect.scala:64) at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$1$$anonfun$applyOrElse$1.apply(AggregationIterator.scala:170) at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$1$$anonfun$applyOrElse$1.apply(AggregationIterator.scala:170) at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$generateProcessRow$1.apply(AggregationIterator.scala:186) at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$generateProcessRow$1.apply(AggregationIterator.scala:180) at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.processCurrentSortedGroup(SortBasedAggregationIterator.scala:115) at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:150) at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:29) at org.apache.spark.sql.execution.SparkPlan$$anonfun$3.apply(SparkPlan.scala:232) at org.apache.spark.sql.execution.SparkPlan$$anonfun$3.apply(SparkPlan.scala:225) {code} cc: [~yhuai] was: `collect_set` throws the following exception when there are null values. It should ignore null values to be consistent with other aggregation methods. {code} java.lang.IllegalArgumentException: Flat hash tables cannot contain null elements. at scala.collection.mutable.FlatHashTable$HashUtils$class.elemHashCode(FlatHashTable.scala:390) at scala.collection.mutable.HashSet.elemHashCode(HashSet.scala:41) at scala.collection.mutable.FlatHashTable$class.addEntry(FlatHashTable.scala:136) at scala.collection.mutable.HashSet.addEntry(HashSet.scala:41) at scala.collection.mutable.HashSet.$plus$eq(HashSet.scala:60) at scala.collection.mutable.HashSet.$plus$eq(HashSet.scala:41) at org.apache.spark.sql.catalyst.expressions.aggregate.Collect.update(collect.scala:64) at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$1$$anonfun$applyOrElse$1.apply(AggregationIterator.scala:170) at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$1$$anonfun$applyOrElse$1.apply(AggregationIterator.scala:170) at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$generateProcessRow$1.apply(AggregationIterator.scala:186) at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$generateProcessRow$1.apply(AggregationIterator.scala:180) at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.processCurrentSortedGroup(SortBasedAggregationIterator.scala:115) at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:150) at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:29) at org.apache.spark.sql.execution.SparkPlan$$anonfun$3.apply(SparkPlan.scala:232) at org.apache.spark.sql.execution.SparkPlan$$anonfun$3.apply(SparkPlan.scala:225) {code} > collect_set should ignore null values > ------------------------------------- > > Key: SPARK-17641 > URL: https://issues.apache.org/jira/browse/SPARK-17641 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.0.0 > Reporter: Xiangrui Meng > > `collect_set` throws the following exception when there are null values. It should ignore null values to be consistent with other aggregation methods. > {code} > java.lang.IllegalArgumentException: Flat hash tables cannot contain null elements. > at scala.collection.mutable.FlatHashTable$HashUtils$class.elemHashCode(FlatHashTable.scala:390) > at scala.collection.mutable.HashSet.elemHashCode(HashSet.scala:41) > at scala.collection.mutable.FlatHashTable$class.addEntry(FlatHashTable.scala:136) > at scala.collection.mutable.HashSet.addEntry(HashSet.scala:41) > at scala.collection.mutable.HashSet.$plus$eq(HashSet.scala:60) > at scala.collection.mutable.HashSet.$plus$eq(HashSet.scala:41) > at org.apache.spark.sql.catalyst.expressions.aggregate.Collect.update(collect.scala:64) > at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$1$$anonfun$applyOrElse$1.apply(AggregationIterator.scala:170) > at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$1$$anonfun$applyOrElse$1.apply(AggregationIterator.scala:170) > at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$generateProcessRow$1.apply(AggregationIterator.scala:186) > at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$generateProcessRow$1.apply(AggregationIterator.scala:180) > at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.processCurrentSortedGroup(SortBasedAggregationIterator.scala:115) > at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:150) > at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:29) > at org.apache.spark.sql.execution.SparkPlan$$anonfun$3.apply(SparkPlan.scala:232) > at org.apache.spark.sql.execution.SparkPlan$$anonfun$3.apply(SparkPlan.scala:225) > {code} > cc: [~yhuai] -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org For additional commands, e-mail: issues-help@spark.apache.org