Suresh Thalamati created SPARK-15315: ----------------------------------------
Summary: CSV datasource writes garbage for complex types instead of rasing error. Key: SPARK-15315 URL: https://issues.apache.org/jira/browse/SPARK-15315 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 2.0.0 Reporter: Suresh Thalamati Priority: Minor Complex types support does not seem to exist yet for csv writer. Error should be raised instead of writing garbage into the files. Read throw error java.lang.RuntimeException: Unsupported type: map Repro: {code} Seq((1, Map("Tesla" -> 3))).toDF("id", "cars").write.csv("/tmp/output") cat part-r-00007-f684166f-ac28-48a1-99dc-1bb2c2ef1164.csv 1,org.apache.spark.sql.catalyst.expressions.UnsafeMapData@6d10824e Seq((1, Array("Tesla"))).toDF("id", "cars").write.mode("overwrite").csv("/tmp/output") cat part-r-00007-5bc39b53-25b6-4802-a98d-ec0cbd0e189a.csv 1,org.apache.spark.sql.catalyst.expressions.UnsafeArrayData@a7e180b5 scala> Seq((1, "Tesla")).toDF("id", "name").select(struct("id", "name")).write.mode("overwrite").csv("/tmp/output") cat part-r-00007-e0c688e1-e04d-4fa0-baf9-31183871ef6d.csv "[0,1,1800000005,616c736554]" {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org