MaxGekk commented on a change in pull request #28705:
URL: https://github.com/apache/spark/pull/28705#discussion_r434490030
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/HiveResult.scala
##########
@@ -37,30 +37,45 @@ object HiveResult {
* Returns the result as a hive compatible sequence of strings. This is used
in tests and
* `SparkSQLDriver` for CLI applications.
*/
- def hiveResultString(executedPlan: SparkPlan): Seq[String] = executedPlan
match {
- case ExecutedCommandExec(_: DescribeCommandBase) =>
- formatDescribeTableOutput(executedPlan.executeCollectPublic())
- case _: DescribeTableExec =>
- formatDescribeTableOutput(executedPlan.executeCollectPublic())
- // SHOW TABLES in Hive only output table names while our v1 command outputs
- // database, table name, isTemp.
- case command @ ExecutedCommandExec(s: ShowTablesCommand) if !s.isExtended
=>
- command.executeCollect().map(_.getString(1))
- // SHOW TABLES in Hive only output table names while our v2 command outputs
- // namespace and table name.
- case command : ShowTablesExec =>
- command.executeCollect().map(_.getString(1))
- // SHOW VIEWS in Hive only outputs view names while our v1 command outputs
- // namespace, viewName, and isTemporary.
- case command @ ExecutedCommandExec(_: ShowViewsCommand) =>
- command.executeCollect().map(_.getString(1))
- case other =>
- val result: Seq[Seq[Any]] =
other.executeCollectPublic().map(_.toSeq).toSeq
- // We need the types so we can output struct field names
- val types = executedPlan.output.map(_.dataType)
- // Reformat to match hive tab delimited output.
- result.map(_.zip(types).map(e => toHiveString(e)))
Review comment:
The problem is in `dateFormatter`. Currently, its legacy formatter which
is used for `java.sql.Date` doesn't respect to the Spark session time zone and
depends on JVM time zone. It works fine for Java 8 `LocalDate` and respect the
session time zone.
I tried to fix the issue in https://github.com/apache/spark/pull/28709 but
the fix brings more troubles than fixes.
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