Saif Addin Ellafi created SPARK-11331:
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Summary: 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 types.
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????????,????,???,???????]
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