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https://issues.apache.org/jira/browse/SPARK-20563?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-20563.
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Resolution: Not A Problem
I am resolving this per ^. Please reopen this if I misunderstood.
> going to DataFrame to RDD and back changes the schema, if the schema is not
> explicitly provided
> -----------------------------------------------------------------------------------------------
>
> Key: SPARK-20563
> URL: https://issues.apache.org/jira/browse/SPARK-20563
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.1.0
> Reporter: Danil Kirsanov
> Priority: Minor
>
> df.rdd.toDF() converts the DataFrame of IntegerType to the LongType if the
> schema is not explicitly provided in toDF().
> Below is a full reproduction code
> -------------------------------------
> from pyspark.sql.types import IntegerType, StructType, StructField
> schema = StructType([StructField("a",IntegerType(),True),
> StructField("b",IntegerType(),True)])
> df_test = spark.createDataFrame([(1,2)], schema)
> df_test.printSchema()
> df_test.rdd.toDF().printSchema()
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