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https://issues.apache.org/jira/browse/KYLIN-4829?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17245908#comment-17245908
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ASF GitHub Bot commented on KYLIN-4829:
---------------------------------------
zzcclp commented on a change in pull request #1495:
URL: https://github.com/apache/kylin/pull/1495#discussion_r538415776
##########
File path:
kylin-spark-project/kylin-spark-common/src/main/scala/org/apache/spark/sql/execution/datasource/ResetShufflePartition.scala
##########
@@ -17,25 +17,26 @@
*/
package org.apache.spark.sql.execution.datasource
-import org.apache.kylin.common.{KylinConfig, QueryContext, QueryContextFacade}
+import org.apache.kylin.common.{KylinConfig, QueryContextFacade}
import org.apache.spark.internal.Logging
import org.apache.spark.sql.SparkSession
+import org.apache.spark.utils.SparderUtils
trait ResetShufflePartition extends Logging {
+ val PARTITION_SPLIT_BYTES: Long =
KylinConfig.getInstanceFromEnv.getQueryPartitionSplitSizeMB * 1024 * 1024 //
64MB
def setShufflePartitions(bytes: Long, sparkSession: SparkSession): Unit = {
QueryContextFacade.current().addAndGetSourceScanBytes(bytes)
- val defaultParallelism = sparkSession.sparkContext.defaultParallelism
+ val defaultParallelism =
SparderUtils.getTotalCore(sparkSession.sparkContext.getConf)
Review comment:
Make it the same algorithm as the code of 'ResultPlan.collectInternal'.
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> Support to use thread-level SparkSession to execute query
> ----------------------------------------------------------
>
> Key: KYLIN-4829
> URL: https://issues.apache.org/jira/browse/KYLIN-4829
> Project: Kylin
> Issue Type: Improvement
> Components: Query Engine, Spark Engine
> Reporter: Zhichao Zhang
> Assignee: Zhichao Zhang
> Priority: Minor
> Fix For: v4.0.0-beta
>
>
> Currently, when executing a query, it is impossible to configure proper
> parameters for each query according to the data will be scanned, such as
> spark.sql.shuffle.partitions, this will impact the performance of querying.
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