Pierre Gramme created SPARK-32618:
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Summary: ORC writer doesn't support colon in column names
Key: SPARK-32618
URL: https://issues.apache.org/jira/browse/SPARK-32618
Project: Spark
Issue Type: Bug
Components: Input/Output
Affects Versions: 2.3.0
Reporter: Pierre Gramme
Hi,
I'm getting an {{IllegalArgumentException: Can't parse category at
'struct<a:b^:int>'}} when exporting to ORC a dataframe whose column names
contain colon ({{:}}). Reproducible as hereunder. Same problem also occurs if
the name with colon appears nested as member of a struct.
In my real-life case, the column was actually {{xsi:type}}, coming from some
parsed xml. Thus other users may be affected too.
Has it been fixed after Spark 2.3.0? (sorry, can't test easily)
Any workaround? Would be acceptable for me to find and replace all colons with
underscore in column names, but not easy to do in a big set of nested struct
columns...
Thanks
{code:java}
spark.conf.set("spark.sql.orc.impl", "native")
val dfColon = Seq(1).toDF("a:b")
dfColon.printSchema()
dfColon.show()
dfColon.write.orc("test_colon")
// Fails with IllegalArgumentException: Can't parse category at
'struct<a:b^:int>'
import org.apache.spark.sql.functions.struct
val dfColonStruct = dfColon.withColumn("x", struct($"a:b")).drop("a:b")
dfColonStruct.printSchema()
dfColonStruct.show()
dfColon.write.orc("test_colon_struct")
// Fails with IllegalArgumentException: Can't parse category at
'struct<a:b^:int>'
{code}
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