From issues-return-189994-apmail-spark-issues-archive=spark.apache.org@spark.apache.org Tue Apr 24 08:59:08 2018 Return-Path: X-Original-To: apmail-spark-issues-archive@minotaur.apache.org Delivered-To: apmail-spark-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 434C41783D for ; Tue, 24 Apr 2018 08:59:08 +0000 (UTC) Received: (qmail 90402 invoked by uid 500); 24 Apr 2018 08:59:08 -0000 Delivered-To: apmail-spark-issues-archive@spark.apache.org Received: (qmail 90286 invoked by uid 500); 24 Apr 2018 08:59:07 -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 90275 invoked by uid 99); 24 Apr 2018 08:59:07 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd3-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Tue, 24 Apr 2018 08:59:07 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd3-us-west.apache.org (ASF Mail Server at spamd3-us-west.apache.org) with ESMTP id 2C3FD1806A8 for ; Tue, 24 Apr 2018 08:59:07 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd3-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: -110.311 X-Spam-Level: X-Spam-Status: No, score=-110.311 tagged_above=-999 required=6.31 tests=[ENV_AND_HDR_SPF_MATCH=-0.5, RCVD_IN_DNSWL_MED=-2.3, SPF_PASS=-0.001, T_RP_MATCHES_RCVD=-0.01, USER_IN_DEF_SPF_WL=-7.5, USER_IN_WHITELIST=-100] autolearn=disabled Received: from mx1-lw-eu.apache.org ([10.40.0.8]) by localhost (spamd3-us-west.apache.org [10.40.0.10]) (amavisd-new, port 10024) with ESMTP id w-m9Zni_veXS for ; Tue, 24 Apr 2018 08:59:02 +0000 (UTC) Received: from mailrelay1-us-west.apache.org (mailrelay1-us-west.apache.org [209.188.14.139]) by mx1-lw-eu.apache.org (ASF Mail Server at mx1-lw-eu.apache.org) with ESMTP id CA7B05F568 for ; Tue, 24 Apr 2018 08:59:01 +0000 (UTC) Received: from jira-lw-us.apache.org (unknown [207.244.88.139]) by mailrelay1-us-west.apache.org (ASF Mail Server at mailrelay1-us-west.apache.org) with ESMTP id CCE40E0BC2 for ; Tue, 24 Apr 2018 08:59:00 +0000 (UTC) Received: from jira-lw-us.apache.org (localhost [127.0.0.1]) by jira-lw-us.apache.org (ASF Mail Server at jira-lw-us.apache.org) with ESMTP id 3F18D241C8 for ; Tue, 24 Apr 2018 08:59:00 +0000 (UTC) Date: Tue, 24 Apr 2018 08:59:00 +0000 (UTC) From: "ABHISHEK KUMAR GUPTA (JIRA)" To: issues@spark.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Created] (SPARK-24064) [Spark SQL] Create table using csv does not support binary column Type MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 ABHISHEK KUMAR GUPTA created SPARK-24064: -------------------------------------------- Summary: [Spark SQL] Create table using csv does not support = binary column Type Key: SPARK-24064 URL: https://issues.apache.org/jira/browse/SPARK-24064 Project: Spark Issue Type: Bug Components: Deploy Affects Versions: 2.3.0 Environment: OS Type: Suse 11 Spark Version: 2.3.0 Reporter: ABHISHEK KUMAR GUPTA # =C2=A0Launch spark-sql --master yarn=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 = =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 # create table csvTable (time timestamp, name string, isright boolean, dat= etoday date, num binary, height double, score float, decimaler decimal(10,0= ), id tinyint, age int, license bigint, length smallint) using CSV options = (path "/user/datatmo/customer1.csv"); Result: Table creation is successful =C2=A0 =C2=A0 3. Select * from csvTable; Throws below Exception ERROR SparkSQLDriver:91 - Failed in [select * from csvtable] java.lang.UnsupportedOperationException: *CSV data source does not support = binary data type*. at org.apache.spark.sql.execution.datasources.csv.CSVUtils$.org$apache$spa= rk$sql$execution$datasources$csv$CSVUtils$$verifyType$1(CSVUtils.scala:127) at org.apache.spark.sql.execution.datasources.csv.CSVUtils$$anonfun$verify= Schema$1.apply(CSVUtils.scala:131) at org.apache.spark.sql.execution.datasources.csv.CSVUtils$$anonfun$verify= Schema$1.apply(CSVUtils.scala:131) at scala.collection.Iterator$class.foreach(Iterator.scala:893) at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at org.apache.spark.sql.types.StructType.foreach(StructType.scala:99) =C2=A0 But Normal table supports binary Data Type. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org For additional commands, e-mail: issues-help@spark.apache.org