HyukjinKwon commented on code in PR #47349:
URL: https://github.com/apache/spark/pull/47349#discussion_r1678192800
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sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala:
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@@ -641,14 +641,19 @@ object SQLConf {
.checkValue(_ > 0, "The value of spark.sql.leafNodeDefaultParallelism must
be positive.")
.createOptional
+ // Lazily get the number of cores to make sure SparkContext created first.
+ private lazy val defaultShufflePartition: Option[Int] =
SparkContext.getActive.flatMap { sc =>
+ if (sc.isLocal) Some(SparkContext.numDriverCores(sc.master)) else None
+ }
+
val SHUFFLE_PARTITIONS = buildConf("spark.sql.shuffle.partitions")
.doc("The default number of partitions to use when shuffling data for
joins or aggregations. " +
"Note: For structured streaming, this configuration cannot be changed
between query " +
"restarts from the same checkpoint location.")
.version("1.1.0")
.intConf
.checkValue(_ > 0, "The value of spark.sql.shuffle.partitions must be
positive")
- .createWithDefault(200)
+ .createWithDefaultFunction(() => defaultShufflePartition.getOrElse(200))
Review Comment:
Yes it does
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