shahidki31 commented on a change in pull request #24715: [SPARK-25474][SQL] Data source tables support fallback to HDFS for size estimation URL: https://github.com/apache/spark/pull/24715#discussion_r315105841
########## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala ########## @@ -619,3 +619,34 @@ object DataSourceStrategy { (nonconvertiblePredicates ++ unhandledPredicates, pushedFilters, handledFilters) } } + + +/** + * Defines default table statistics if table statistics are not available. + */ +class DetermineTableStats(session: SparkSession) extends Rule[LogicalPlan] { + + private val conf = session.sessionState.conf + + override def apply(plan: LogicalPlan): LogicalPlan = plan resolveOperators { + // For the data source table, we only recalculate the table statistics Review comment: Yes. agree. My point is, both the PRs, will always fallback to HDFS is the table statistics is empty and doesn't consider if the `catalogFileIndex` has stats or not. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org