Github user dilipbiswal commented on the issue:
https://github.com/apache/spark/pull/15190
@gatorsmile Thanks.. didn't realize we wanted to find out the CTAS
behaviour. Here is the result..
When covertCTAS is set to true, we create a data source table with parquet
format.
``` SQL
scala> spark.sql("SET spark.sql.hive.convertCTAS=true")
res23: org.apache.spark.sql.DataFrame = [key: string, value: string]
scala> spark.sql("CREATE TABLE tmp_default6 as select * from tmp_default")
res24: org.apache.spark.sql.DataFrame = []
scala> spark.sql("DESC extended tmp_default6").collect.foreach(println)
[# Detailed Table Information,CatalogTable(
Provider: parquet
Storage(Location:
file:/home/mygit/apache/spark/bin/spark-warehouse/tmp_default6, InputFormat:
org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat, OutputFormat:
org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat, Serde:
org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe, Properties:
[path=file:/user/hive/warehouse/tmp_default6, serialization.format=1])),]
```
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