wzhfy commented on a change in pull request #27079: [SPARK-30410][SQL]
Calculating size of table with large number of partitions causes flooding logs
URL: https://github.com/apache/spark/pull/27079#discussion_r362746797
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/CommandUtils.scala
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@@ -55,11 +55,13 @@ object CommandUtils extends Logging {
def calculateTotalSize(spark: SparkSession, catalogTable: CatalogTable):
BigInt = {
val sessionState = spark.sessionState
- if (catalogTable.partitionColumnNames.isEmpty) {
+ val startTime = System.nanoTime()
+ val totalSize = if (catalogTable.partitionColumnNames.isEmpty) {
calculateLocationSize(sessionState, catalogTable.identifier,
catalogTable.storage.locationUri)
} else {
// Calculate table size as a sum of the visible partitions. See
SPARK-21079
val partitions =
sessionState.catalog.listPartitions(catalogTable.identifier)
+ logInfo(s"Starting to calculate sizes for ${partitions.length}
partitions.")
Review comment:
ok, merged to one line log
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