ajantha-bhat commented on a change in pull request #3794:
URL: https://github.com/apache/iceberg/pull/3794#discussion_r774314025
##########
File path:
spark/v3.0/spark/src/main/scala/org/apache/spark/sql/execution/datasources/SparkExpressionConverter.scala
##########
@@ -30,4 +33,18 @@ object SparkExpressionConverter {
// But these two conversions already exist and well tested. So, we are
going with this approach.
SparkFilters.convert(DataSourceStrategy.translateFilter(sparkExpression,
supportNestedPredicatePushdown = true).get)
}
+
+ @throws[AnalysisException]
+ def collectResolvedSparkExpression(session: SparkSession, tableName: String,
where: String): Expression = {
+ var expression: Expression = null
+ // Add a dummy prefix linking to the table to collect the resolved spark
expression from optimized plan.
+ val prefix = String.format("SELECT 42 from %s where ", tableName)
+ val logicalPlan = session.sessionState.sqlParser.parsePlan(prefix + where)
+ val optimizedLogicalPlan =
session.sessionState.executePlan(logicalPlan).optimizedPlan
Review comment:
The only change compared to spark-3.2 PR is this. `executePlan` accepts
only one argument in spark-3.0 and spark-3.1
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