[ https://issues.apache.org/jira/browse/SPARK-11331?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-11331. ---------------------------------- Resolution: Duplicate > Kryo serializer broken with StringTypes > --------------------------------------- > > Key: SPARK-11331 > URL: https://issues.apache.org/jira/browse/SPARK-11331 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 1.5.1 > Environment: Spark shell both in standalone cluster or local mode > Reporter: Saif Addin Ellafi > > When using --driver-java-options > "-Dspark.serializer=org.apache.spark.serializer.KryoSerializer" > data looks like this when both loading from JSON or PARQUET. Have not tried > other data sources. > res1: org.apache.spark.sql.Row = > [325767905,1,4000,0,1,3933.34,3901.64,3901.64,0.0,0,0,0,0,0,0.0,0,0.0,0.0,4000,0.0,?,??,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,68.299999952,0.0,0.0,20,200311,0,0.0,1,1,4000,1,100.0,100.0,0.0,0.0, > Card NoRw > ????????,614,1,200506,01????????,????,???,???????,0,0,0.0,68.299999952,100.0] > question marks appear on StringType data > val cols = data.dtypes.filter(_._2 == "StringType").map(_._1) > data.select("id", cols:_*).first > res13: org.apache.spark.sql.Row = [325767905,?,??, Card NoRw > ????????,01????????,????,???,???????] -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org