Github user djk121 commented on the issue:
https://github.com/apache/spark/pull/14118
I'm doing this:
val dataframe = sparkSession.read
.format("com.databricks.spark.csv")
.option("header", "true")
.option("nullValue", "null")
.schema(schema)
.load(csvPath)
I then take that dataframe and attempt to write it out to parquet like so:
dataframe.write
.mode(SaveMode.Overwrite)
.option("compression", "snappy")
.parquet(outputPath)
When the parquet writes go, I get the same traceback as above. I can see
from that traceback that it's org.apache.spark.sql.execution.datasources.csv,
so for whatever reason, com.databricks.spark.csv isn't being used. Do I need
to do something different to force it to be used?
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