From issues-return-186809-archive-asf-public=cust-asf.ponee.io@spark.apache.org Sun Mar 11 13:22:04 2018 Return-Path: X-Original-To: archive-asf-public@cust-asf.ponee.io Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by mx-eu-01.ponee.io (Postfix) with SMTP id 47D8718060F for ; Sun, 11 Mar 2018 13:22:04 +0100 (CET) Received: (qmail 79909 invoked by uid 500); 11 Mar 2018 12:22:03 -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 79899 invoked by uid 99); 11 Mar 2018 12:22:03 -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; Sun, 11 Mar 2018 12:22:03 +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 A54DEC1C64 for ; Sun, 11 Mar 2018 12:22:02 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd1-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: -110.31 X-Spam-Level: X-Spam-Status: No, score=-110.31 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, WEIRD_PORT=0.001] 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 wLtiun-NJbvB for ; Sun, 11 Mar 2018 12:22:01 +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 A45D55F5C6 for ; Sun, 11 Mar 2018 12:22:01 +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 E0918E0117 for ; Sun, 11 Mar 2018 12:22:00 +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 553D421458 for ; Sun, 11 Mar 2018 12:22:00 +0000 (UTC) Date: Sun, 11 Mar 2018 12:22:00 +0000 (UTC) From: "Hyukjin Kwon (JIRA)" To: issues@spark.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Resolved] (SPARK-23646) pyspark DataFrameWriter ignores customized settings? MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 [ https://issues.apache.org/jira/browse/SPARK-23646?page=3Dcom.atlassi= an.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon resolved SPARK-23646. ---------------------------------- Resolution: Invalid Let me leave this resolved but please feel free to reopen when it becomes c= lear that it's an issue. > pyspark DataFrameWriter ignores customized settings? > ---------------------------------------------------- > > Key: SPARK-23646 > URL: https://issues.apache.org/jira/browse/SPARK-23646 > Project: Spark > Issue Type: Bug > Components: PySpark > Affects Versions: 2.2.1 > Reporter: Chuan-Heng Hsiao > Priority: Major > > I am using spark-2.2.1-bin-hadoop2.7 with stand-alone mode. > (python version: 3.5.2 from ubuntu 16.04) > I intended to have=C2=A0DataFrame=C2=A0write to=C2=A0hdfs=C2=A0with custo= mized=C2=A0block-size=C2=A0but failed. > However, the corresponding rdd can successfully write with the customized= =C2=A0block-size. > =C2=A0 > =C2=A0 > The following is the test code: > (dfs.namenode.fs-limits.min-block-size has been set as 131072 in hdfs) > =C2=A0 > =C2=A0 > ########## > # init > ##########from pyspark import SparkContext, SparkConf > from pyspark.sql import SparkSession > =C2=A0 > import=C2=A0hdfs > from=C2=A0hdfs=C2=A0import InsecureClient > import os > =C2=A0 > import numpy as np > import pandas as pd > import logging > =C2=A0 > os.environ['SPARK_HOME'] =3D '/opt/spark-2.2.1-bin-hadoop2.7' > =C2=A0 > block_size=C2=A0=3D 512 * 1024 > =C2=A0 > conf =3D SparkConf().setAppName("DCSSpark").setMaster("spark://spark1[:70= 77|http://10.7.34.47:7077/]").set('spark.cores.max', 20).set("spark.executo= r.cores", 10).set("spark.executor.memory", "10g").set("spark.hadoop.dfs.blo= cksize", str(block_size)).set("spark.hadoop.dfs.block.size", str(block_size= )) > =C2=A0 > spark =3D SparkSession.builder.config(conf=3Dconf).getOrCreate() > spark.sparkContext._jsc.hadoopConfiguration().setInt("dfs.blocksize",=C2= =A0block_size) > spark.sparkContext._jsc.hadoopConfiguration().setInt("dfs.block.size",=C2= =A0block_size) > =C2=A0 > ########## > # main > ########## > =C2=A0# create=C2=A0DataFrame > df_txt =3D spark.createDataFrame([\{'temp': "hello"}, \{'temp': "world"},= \{'temp': "!"}]) > =C2=A0 > # save using=C2=A0DataFrameWriter, resulting 128MB-block-size > df_txt.write.mode('overwrite').format('parquet').save('hdfs://spark1/tmp/= temp_with_df') > =C2=A0 > # save using rdd, resulting 512k-block-size > client =3D InsecureClient('[http://spark1:50070|http://spark1:50070/]') > client.delete('/tmp/temp_with_rrd', recursive=3DTrue) > df_txt.rdd.saveAsTextFile('hdfs://spark1/tmp/temp_with_rrd') -- 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