From issues-return-184810-archive-asf-public=cust-asf.ponee.io@spark.apache.org Tue Feb 13 01:49:03 2018 Return-Path: X-Original-To: archive-asf-public@eu.ponee.io Delivered-To: archive-asf-public@eu.ponee.io Received: from cust-asf.ponee.io (cust-asf.ponee.io [163.172.22.183]) by mx-eu-01.ponee.io (Postfix) with ESMTP id D99BD180652 for ; Tue, 13 Feb 2018 01:49:03 +0100 (CET) Received: by cust-asf.ponee.io (Postfix) id C9A8D160C62; Tue, 13 Feb 2018 00:49:03 +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 24330160C3F for ; Tue, 13 Feb 2018 01:49:02 +0100 (CET) Received: (qmail 92105 invoked by uid 500); 13 Feb 2018 00:49:02 -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 92096 invoked by uid 99); 13 Feb 2018 00:49:02 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd1-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Tue, 13 Feb 2018 00:49:02 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd1-us-west.apache.org (ASF Mail Server at spamd1-us-west.apache.org) with ESMTP id DB6BFC045A for ; Tue, 13 Feb 2018 00:49:01 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd1-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-us.apache.org ([10.40.0.8]) by localhost (spamd1-us-west.apache.org [10.40.0.7]) (amavisd-new, port 10024) with ESMTP id MoMPOPnv0kgM for ; Tue, 13 Feb 2018 00:49:01 +0000 (UTC) Received: from mailrelay1-us-west.apache.org (mailrelay1-us-west.apache.org [209.188.14.139]) by mx1-lw-us.apache.org (ASF Mail Server at mx1-lw-us.apache.org) with ESMTP id 0AFDC5F398 for ; Tue, 13 Feb 2018 00:49:01 +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 82B96E0153 for ; Tue, 13 Feb 2018 00:49:00 +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 2F56021E85 for ; Tue, 13 Feb 2018 00:49:00 +0000 (UTC) Date: Tue, 13 Feb 2018 00:49:00 +0000 (UTC) From: "Xiao Li (JIRA)" To: issues@spark.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Updated] (SPARK-23352) Explicitly specify supported types in Pandas UDFs 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/SPARK-23352?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiao Li updated SPARK-23352: ---------------------------- Fix Version/s: 2.3.1 > Explicitly specify supported types in Pandas UDFs > ------------------------------------------------- > > Key: SPARK-23352 > URL: https://issues.apache.org/jira/browse/SPARK-23352 > Project: Spark > Issue Type: Sub-task > Components: PySpark > Affects Versions: 2.3.0 > Reporter: Hyukjin Kwon > Assignee: Hyukjin Kwon > Priority: Major > Fix For: 2.3.1, 2.4.0 > > > Currently, we don't support {{BinaryType}} in Pandas UDFs: > {code} > >>> from pyspark.sql.functions import pandas_udf > >>> pudf = pandas_udf(lambda x: x, "binary") > >>> df = spark.createDataFrame([[bytearray("a")]]) > >>> df.select(pudf("_1")).show() > ... > TypeError: Unsupported type in conversion to Arrow: BinaryType > {code} > Also, the grouped aggregate Pandas UDF fail fast on {{ArrayType}} but seems we can support this case. > We should better clarify it in doc in Pandas UDFs, and fail fast with type checking ahead, rather than execution time. > Please consider this case: > {code} > pandas_udf(lambda x: x, BinaryType()) # we can fail fast at this stage because we know the schema ahead > {code} -- 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