Github user dilipbiswal commented on a diff in the pull request:
https://github.com/apache/spark/pull/15190#discussion_r79979332
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala ---
@@ -988,9 +988,7 @@ class SparkSqlAstBuilder(conf: SQLConf) extends
AstBuilder {
.orElse(Some("org.apache.hadoop.mapred.TextInputFormat")),
outputFormat = defaultHiveSerde.flatMap(_.outputFormat)
.orElse(Some("org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat")),
- // Note: Keep this unspecified because we use the presence of the
serde to decide
--- End diff --
@viirya @cloud-fan Actually i am not sure, if the above comment is in sync
with the code. When we had this comment, we used to have
CreateTableAsSelectLogicalPlan to represent the CTAS case and we used to check
for serde's presence to determine whether or not to convert it to a data source
table like following.
``` SQL
if (sessionState.convertCTAS && table.storage.serde.isEmpty) {
// Do the conversion when spark.sql.hive.convertCTAS is true and
the query
// does not specify any storage format (file format and storage
handler).
if (table.identifier.database.isDefined) {
throw new AnalysisException(
"Cannot specify database name in a CTAS statement " +
"when spark.sql.hive.convertCTAS is set to true.")
}
val mode = if (allowExisting) SaveMode.Ignore else
SaveMode.ErrorIfExists
CreateTableUsingAsSelect(
TableIdentifier(desc.identifier.table),
conf.defaultDataSourceName,
temporary = false,
Array.empty[String],
bucketSpec = None,
mode,
options = Map.empty[String, String],
child
)
} else {
val desc = if (table.storage.serde.isEmpty) {
// add default serde
table.withNewStorage(
serde =
Some("org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"))
} else {
table
}
```
I think this code has changed and moved to SparkSqlParser ?
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