jdesjean commented on code in PR #41748:
URL: https://github.com/apache/spark/pull/41748#discussion_r1259927245
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sql/core/src/main/scala/org/apache/spark/sql/SparkSession.scala:
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@@ -622,21 +622,43 @@ class SparkSession private(
* For example, 1, "Steven", LocalDate.of(2023, 4, 2).
* A value can be also a `Column` of literal expression, in that
case
* it is taken as is.
+ * @param tracker A tracker that can notify when query is ready for execution
*
* @since 3.5.0
*/
@Experimental
- def sql(sqlText: String, args: Array[_]): DataFrame = withActive {
- val tracker = new QueryPlanningTracker
- val plan = tracker.measurePhase(QueryPlanningTracker.PARSING) {
- val parsedPlan = sessionState.sqlParser.parsePlan(sqlText)
- if (args.nonEmpty) {
- PosParameterizedQuery(parsedPlan, args.map(lit(_).expr))
- } else {
- parsedPlan
+ private[sql] def sql(sqlText: String, args: Array[_], tracker:
QueryPlanningTracker): DataFrame =
Review Comment:
Connect uses both the [map & array parametrized
form](https://github.com/apache/spark/blob/master/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala#L2333).
I've dropped the java map & non parametrized sql
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