Carlos M. Casas created SPARK-21226:
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Summary: Save empty dataframe in pyspark prints nothing
Key: SPARK-21226
URL: https://issues.apache.org/jira/browse/SPARK-21226
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 2.1.0, 2.0.0
Reporter: Carlos M. Casas
I try the following:
schema = whatever schema you want
df1 = sqlContext.createDataFrame(sc.emptyRDD(), schema)
df1.write.parquet("as1")
and I just get a directory as1 with a _SUCCESS file in it. If I try to read
that file, I get an exception.
On the other hand, if I run:
schema = whatever schema you want
df2 = sqlContext.createDataFrame([], schema)
df2.write.parquet("as2")
I get a directory as2 with some files on it (representing field type
information?). If I try to read it, it works: it read an empty df with the
proper schema.
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