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
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@@ -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, if the
table statistics is empty and doesn't consider if the `catalogFileIndex` has
stats or not.
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