Hi, all the options are documented in https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.sql.DataFrameWriter
It seems we don't have both options for writing. If the goal is trimming the whitespaces, I think we could do this within dataframe operations (as we talked in the JIRA - https://issues.apache.org/jira/browse/SPARK-18579). 2017-03-14 9:20 GMT+09:00 Nirav Patel <npa...@xactlycorp.com>: > Hi, > > Is there a document for each datasource (csv, tsv, parquet, json, avro) > with available options ? I need to find one for csv to > "ignoreLeadingWhiteSpace" and "ignoreTrailingWhiteSpace" > > Thanks > > > > [image: What's New with Xactly] <http://www.xactlycorp.com/email-click/> > > <https://www.nyse.com/quote/XNYS:XTLY> [image: LinkedIn] > <https://www.linkedin.com/company/xactly-corporation> [image: Twitter] > <https://twitter.com/Xactly> [image: Facebook] > <https://www.facebook.com/XactlyCorp> [image: YouTube] > <http://www.youtube.com/xactlycorporation>
