[GitHub] [spark] viirya commented on a change in pull request #29427: [SPARK-25557][SQL][Followup] Add case-sensitivity test for ORC predicate pushdown

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[GitHub] [spark] viirya commented on pull request #29427: [SPARK-25557][SQL][Followup] Add case-sensitivity test for ORC predicate pushdown

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[GitHub] [spark] viirya opened a new pull request #29427: [SPARK-25557][SQL][Followup] Add case-sensitivity test for ORC predicate pushdown

viirya opened a new pull request #29427: URL: https://github.com/apache/spark/pull/29427 ### What changes were proposed in this pull request? This is a follow-up of SPARK-25557. In this PR, adding case-sensitivity test for ORC predicate pushdown. ### Why are the

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tgravescs commented on pull request #29413: URL: https://github.com/apache/spark/pull/29413#issuecomment-673665565 Yeah so you have described the affects of it dropping the events, which I know. The thing I want to know is why it dropped the events in your cases. I'm not sure the

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[GitHub] [spark] agrawaldevesh commented on a change in pull request #29342: [SPARK-32399][SQL] Full outer shuffled hash join

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[GitHub] [spark] sarutak opened a new pull request #29426: Fix dropwizard url

sarutak opened a new pull request #29426: URL: https://github.com/apache/spark/pull/29426 ### What changes were proposed in this pull request? This PR fixes the link to metrics.dropwizard.io in monitoring.md to refer the proper version of the library. ### Why are the changes

[GitHub] [spark] warrenzhu25 commented on pull request #29082: [SPARK-32288][UI] Add exception summary for failed tasks in stage page

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sarutak commented on a change in pull request #28939: URL: https://github.com/apache/spark/pull/28939#discussion_r470046600 ## File path: core/src/main/scala/org/apache/spark/util/Utils.scala ## @@ -2598,6 +2598,15 @@ private[spark] object Utils extends Logging {

[GitHub] [spark] mccheah commented on pull request #28618: [SPARK-31801][API][SHUFFLE] Register map output metadata

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[GitHub] [spark] sarutak commented on a change in pull request #28939: [SPARK-32119][CORE] ExecutorPlugin doesn't work with Standalone Cluster and Kubernetes with --jars

sarutak commented on a change in pull request #28939: URL: https://github.com/apache/spark/pull/28939#discussion_r470103732 ## File path: core/src/main/scala/org/apache/spark/executor/Executor.scala ## @@ -220,6 +220,21 @@ private[spark] class Executor(

[GitHub] [spark] SaurabhChawla100 edited a comment on pull request #29413: [SPARK-32597][CORE] Tune Event Drop in Async Event Queue

SaurabhChawla100 edited a comment on pull request #29413: URL: https://github.com/apache/spark/pull/29413#issuecomment-673593703 >I don't get your point here. it can already be configured on a per queue basis (set "spark.scheduler.listenerbus.eventqueue.$name.capacity") and if user sets

[GitHub] [spark] SaurabhChawla100 commented on pull request #29413: [SPARK-32597][CORE] Tune Event Drop in Async Event Queue

SaurabhChawla100 commented on pull request #29413: URL: https://github.com/apache/spark/pull/29413#issuecomment-673593703 >I don't get your point here. it can already be configured on a per queue basis (set "spark.scheduler.listenerbus.eventqueue.$name.capacity") and if user sets

[GitHub] [spark] srowen commented on pull request #29370: [SPARK-32526][SQL]Fix some test cases of `sql/catalyst` module in scala 2.13

srowen commented on pull request #29370: URL: https://github.com/apache/spark/pull/29370#issuecomment-673587065 Merged to master. I didn't resolve the JIRA yet because there are a few more tests to fix. Good work! let's keep going.

[GitHub] [spark] srowen closed pull request #29370: [SPARK-32526][SQL]Fix some test cases of `sql/catalyst` module in scala 2.13

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[GitHub] [spark] baohe-zhang opened a new pull request #29425: [SPARK-32350][FOLLOW-UP] Divide the value list into a set of small batches when bulk writing to LevelDB

baohe-zhang opened a new pull request #29425: URL: https://github.com/apache/spark/pull/29425 ### What changes were proposed in this pull request? This is a follow-up of https://github.com/apache/spark/pull/29149. The change is that when writing a large value list, we divide the value

[GitHub] [spark] cloud-fan commented on a change in pull request #29270: [SPARK-32466][TEST][SQL] Add PlanStabilitySuite to detect SparkPlan regression

cloud-fan commented on a change in pull request #29270: URL: https://github.com/apache/spark/pull/29270#discussion_r470048887 ## File path: sql/core/src/test/scala/org/apache/spark/sql/TPCDSBase.scala ## @@ -298,12 +302,22 @@ trait TPCDSBase extends SharedSparkSession {

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[GitHub] [spark] sarutak commented on pull request #29265: [SPARK-32462][WEBUI] Reset previous search text for datatable

sarutak commented on pull request #29265: URL: https://github.com/apache/spark/pull/29265#issuecomment-673548916 @dongjoon-hyun > Keeping search text is a kind of UX feature to reduce re-typing, but I believe we can remove it from Apache Spark 3.1.0 to achieve simplicity by preventing

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[GitHub] [spark] karuppayya commented on pull request #28804: [SPARK-31973][SQL] Skip partial aggregates if grouping keys have high cardinality

karuppayya commented on pull request #28804: URL: https://github.com/apache/spark/pull/28804#issuecomment-673514702 @maropu The stats(specifically number of records from aggregation map after a threshold) that we are looking for is available only at the operator level at runtime.

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Ngone51 commented on pull request #29413: URL: https://github.com/apache/spark/pull/29413#issuecomment-673503430 > It would make configuring individual queues much harder but I don't know how much people do that. Much harder? IIUC, if users have some experienced stats of the queues

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ulysses-you commented on a change in pull request #29423: URL: https://github.com/apache/spark/pull/29423#discussion_r469977908 ## File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveSQLViewSuite.scala ## @@ -137,4 +137,25 @@ class HiveSQLViewSuite

[GitHub] [spark] ulysses-you commented on a change in pull request #29423: [SPARK-20680][SQL][FOLLOW-UP] Add HiveVoidType in HiveClientImpl

ulysses-you commented on a change in pull request #29423: URL: https://github.com/apache/spark/pull/29423#discussion_r469976892 ## File path: sql/core/src/test/scala/org/apache/spark/sql/execution/SQLViewSuite.scala ## @@ -731,6 +731,7 @@ abstract class SQLViewSuite extends

[GitHub] [spark] ulysses-you commented on a change in pull request #29423: [SPARK-20680][SQL][FOLLOW-UP] Add HiveVoidType in HiveClientImpl

ulysses-you commented on a change in pull request #29423: URL: https://github.com/apache/spark/pull/29423#discussion_r469976892 ## File path: sql/core/src/test/scala/org/apache/spark/sql/execution/SQLViewSuite.scala ## @@ -731,6 +731,7 @@ abstract class SQLViewSuite extends

[GitHub] [spark] ulysses-you commented on a change in pull request #29423: [SPARK-20680][SQL][FOLLOW-UP] Add HiveVoidType in HiveClientImpl

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[GitHub] [spark] Comonut opened a new pull request #29424: [MINOR] Fixed approx_count_distinct rsd param description

Comonut opened a new pull request #29424: URL: https://github.com/apache/spark/pull/29424 ### What changes were proposed in this pull request? In the docs concerning the approx_count_distinct I have changed the description of the rsd parameter from **_maximum estimation

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tgravescs commented on pull request #29413: URL: https://github.com/apache/spark/pull/29413#issuecomment-673479231 Part of the problem with that is that in most cases some queues have higher priority, which is why they were split apart. you really want the executor management queue to

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