ericm-db commented on code in PR #49816:
URL: https://github.com/apache/spark/pull/49816#discussion_r1945625468
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala:
##########
@@ -2251,6 +2251,22 @@ object SQLConf {
.booleanConf
.createWithDefault(true)
+ val STATE_STORE_PARTITION_METRICS_REPORT_LIMIT =
+ buildConf("spark.sql.streaming.stateStore.numPartitionMetricsToReport")
+ .internal()
+ .doc(
+ "Maximum number of partition-level metrics to include in state store
progress " +
+ "reporting. The default limit is 20% of the number of cores (with a
minimum of 1 " +
+ "partition) and with a cap of 10. This limits the metrics to the N
partitions with " +
+ "the smallest values to prevent the progress report from becoming
too large."
+ )
+ .version("4.0.0")
+ .intConf
+ .checkValue(k => k >= 0, "Must be greater than or equal to 0")
+ .createWithDefault(
+ Math.min(10, Math.min(1,
SHUFFLE_PARTITIONS.defaultValue.getOrElse(200) / 5))
Review Comment:
I was looking at SQLConf.scala and found
[this](https://github.com/apache/spark/blob/923c67d58ab1ba259db73ffaa0be5b2af27dc7c7/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala#L3230).
This is pretty similar to what we want to do, right?
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