Chuan-Heng Hsiao created SPARK-23646: ----------------------------------------
Summary: 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 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 DataFrame write to hdfs with customized block-size but failed. However, the corresponding rdd can successfully write with the customized block-size. The following is the test code: (dfs.namenode.fs-limits.min-block-size has been set as 131072 in hdfs) ########## # init ##########from pyspark import SparkContext, SparkConf from pyspark.sql import SparkSession import hdfs from hdfs import InsecureClient import os import numpy as np import pandas as pd import logging os.environ['SPARK_HOME'] = '/opt/spark-2.2.1-bin-hadoop2.7' block_size = 512 * 1024 conf = SparkConf().setAppName("DCSSpark").setMaster("spark://spark1[:7077|http://10.7.34.47:7077/]").set('spark.cores.max', 20).set("spark.executor.cores", 10).set("spark.executor.memory", "10g").set("spark.hadoop.dfs.blocksize", str(block_size)).set("spark.hadoop.dfs.block.size", str(block_size)) spark = SparkSession.builder.config(conf=conf).getOrCreate() spark.sparkContext._jsc.hadoopConfiguration().setInt("dfs.blocksize", block_size) spark.sparkContext._jsc.hadoopConfiguration().setInt("dfs.block.size", block_size) ########## # main ########## # create DataFrame df_txt = spark.createDataFrame([\{'temp': "hello"}, \{'temp': "world"}, \{'temp': "!"}]) # save using DataFrameWriter, resulting 128MB-block-size df_txt.write.mode('overwrite').format('parquet').save('hdfs://spark1/tmp/temp_with_df') # save using rdd, resulting 512k-block-size client = InsecureClient('[http://spark1:50070|http://spark1:50070/]') client.delete('/tmp/temp_with_rrd', recursive=True) 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-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org