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[GitHub] [spark] imback82 commented on issue #27187: [SPARK-30497][SQL] migrate DESCRIBE TABLE to the new framework

imback82 commented on issue #27187: [SPARK-30497][SQL] migrate DESCRIBE TABLE to the new framework URL: https://github.com/apache/spark/pull/27187#issuecomment-575027510 Thanks. I will start migrating more command to the new framework this week.

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[GitHub] [spark] bmarcott edited a comment on issue #27207: [WIP][SPARK-18886][CORE] Make Locality wait time measure resource under utilization due to delay scheduling.

bmarcott edited a comment on issue #27207: [WIP][SPARK-18886][CORE] Make Locality wait time measure resource under utilization due to delay scheduling. URL: https://github.com/apache/spark/pull/27207#issuecomment-575011886 @tgravescs Thanks for the comments. > so please update

[GitHub] [spark] kiszk commented on issue #23988: [SPARK-26509][SQL] Parquet DELTA_BYTE_ARRAY is not supported in Spark 2.x's Vectorized Reader

kiszk commented on issue #23988: [SPARK-26509][SQL] Parquet DELTA_BYTE_ARRAY is not supported in Spark 2.x's Vectorized Reader URL: https://github.com/apache/spark/pull/23988#issuecomment-575012114 ping @nandorKollar This is

[GitHub] [spark] bmarcott commented on issue #27207: [WIP][SPARK-18886][CORE] Make Locality wait time measure resource under utilization due to delay scheduling.

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AmplabJenkins commented on issue #27197: [SPARK-30507][SQL] TableCalalog reserved properties shoudn't be changed via options or tblpropeties URL: https://github.com/apache/spark/pull/27197#issuecomment-575005165 Merged build finished. Test FAILed.

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SparkQA removed a comment on issue #27197: [SPARK-30507][SQL] TableCalalog reserved properties shoudn't be changed via options or tblpropeties URL: https://github.com/apache/spark/pull/27197#issuecomment-574960835 **[Test build #116806 has

[GitHub] [spark] AmplabJenkins commented on issue #27197: [SPARK-30507][SQL] TableCalalog reserved properties shoudn't be changed via options or tblpropeties

AmplabJenkins commented on issue #27197: [SPARK-30507][SQL] TableCalalog reserved properties shoudn't be changed via options or tblpropeties URL: https://github.com/apache/spark/pull/27197#issuecomment-575005169 Test FAILed. Refer to this link for build results (access rights to CI

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SparkQA commented on issue #27197: [SPARK-30507][SQL] TableCalalog reserved properties shoudn't be changed via options or tblpropeties URL: https://github.com/apache/spark/pull/27197#issuecomment-575004931 **[Test build #116806 has

[GitHub] [spark] AmplabJenkins removed a comment on issue #27229: [SPARK-29708][SQL][BRANCH-2.4] Correct aggregated values when grouping sets are duplicated

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SparkQA commented on issue #27229: [SPARK-29708][SQL][BRANCH-2.4] Correct aggregated values when grouping sets are duplicated URL: https://github.com/apache/spark/pull/27229#issuecomment-575004668 **[Test build #116822 has

[GitHub] [spark] z47xu commented on issue #24421: [SPARK-12312][SQL]Support Kerberos login in JDBC connector

z47xu commented on issue #24421: [SPARK-12312][SQL]Support Kerberos login in JDBC connector URL: https://github.com/apache/spark/pull/24421#issuecomment-575003039 > @vanzin may I ask to close this? I think it won't continue. > I'm planning to pick this up. What is your plan?

[GitHub] [spark] AmplabJenkins commented on issue #27229: [SPARK-29708][SQL][BRANCH-2.4] Correct aggregated values when grouping sets are duplicated

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[GitHub] [spark] AmplabJenkins commented on issue #27229: [SPARK-29708][SQL][BRANCH-2.4] Correct aggregated values when grouping sets are duplicated

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[GitHub] [spark] SparkQA commented on issue #27096: [SPARK-28148][SQL] Repartition after join is not optimized away

SparkQA commented on issue #27096: [SPARK-28148][SQL] Repartition after join is not optimized away URL: https://github.com/apache/spark/pull/27096#issuecomment-575002718 **[Test build #116821 has

[GitHub] [spark] maropu commented on issue #27229: [SPARK-29708][SQL][BRANCH-2.4] Correct aggregated values when grouping sets are duplicated

maropu commented on issue #27229: [SPARK-29708][SQL][BRANCH-2.4] Correct aggregated values when grouping sets are duplicated URL: https://github.com/apache/spark/pull/27229#issuecomment-575002671 cc: @dongjoon-hyun This is

[GitHub] [spark] maropu opened a new pull request #27229: [SPARK-29708][SQL][BRANCH-2.4] Correct aggregated values when grouping sets are duplicated

maropu opened a new pull request #27229: [SPARK-29708][SQL][BRANCH-2.4] Correct aggregated values when grouping sets are duplicated URL: https://github.com/apache/spark/pull/27229 ### What changes were proposed in this pull request? This pr intends to fix wrong aggregated

[GitHub] [spark] fuwhu commented on a change in pull request #26805: [SPARK-15616][SQL] Add optimizer rule PruneHiveTablePartitions

fuwhu commented on a change in pull request #26805: [SPARK-15616][SQL] Add optimizer rule PruneHiveTablePartitions URL: https://github.com/apache/spark/pull/26805#discussion_r367247006 ## File path:

[GitHub] [spark] AmplabJenkins removed a comment on issue #27096: [SPARK-28148][SQL] Repartition after join is not optimized away

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[GitHub] [spark] bmarcott commented on issue #27096: [SPARK-28148][SQL] Repartition after join is not optimized away

bmarcott commented on issue #27096: [SPARK-28148][SQL] Repartition after join is not optimized away URL: https://github.com/apache/spark/pull/27096#issuecomment-575001493 updated with a new sparkplan rule and added a test which makes sure a user's repartition with a different

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[GitHub] [spark] MaxGekk commented on issue #27218: [SPARK-30499][SQL] Remove SQL config spark.sql.execution.pandas.respectSessionTimeZone

MaxGekk commented on issue #27218: [SPARK-30499][SQL] Remove SQL config spark.sql.execution.pandas.respectSessionTimeZone URL: https://github.com/apache/spark/pull/27218#issuecomment-575001185 @HyukjinKwon I checked that tests failed when I set timeZone to nil/none there

[GitHub] [spark] AmplabJenkins commented on issue #27096: [SPARK-28148][SQL] Repartition after join is not optimized away

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[GitHub] [spark] fuwhu commented on a change in pull request #26805: [SPARK-15616][SQL] Add optimizer rule PruneHiveTablePartitions

fuwhu commented on a change in pull request #26805: [SPARK-15616][SQL] Add optimizer rule PruneHiveTablePartitions URL: https://github.com/apache/spark/pull/26805#discussion_r367247006 ## File path:

[GitHub] [spark] SparkQA commented on issue #27096: [SPARK-28148][SQL] Repartition after join is not optimized away

SparkQA commented on issue #27096: [SPARK-28148][SQL] Repartition after join is not optimized away URL: https://github.com/apache/spark/pull/27096#issuecomment-575000581 **[Test build #116820 has

[GitHub] [spark] AmplabJenkins commented on issue #27226: [SPARK-30524] [SQL] Disable OptimizeSkewedJoin rule when introducing additional shuffle

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[GitHub] [spark] AmplabJenkins commented on issue #27226: [SPARK-30524] [SQL] Disable OptimizeSkewedJoin rule when introducing additional shuffle

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[GitHub] [spark] cloud-fan commented on issue #26929: [SPARK-30289][SQL] DSv2's partitioning should not accept nested columns

cloud-fan commented on issue #26929: [SPARK-30289][SQL] DSv2's partitioning should not accept nested columns URL: https://github.com/apache/spark/pull/26929#issuecomment-574998506 I think Spark should support all kinds of PARTITION BY expressions as long as it can be translated to v2

[GitHub] [spark] SparkQA commented on issue #27226: [SPARK-30524] [SQL] Disable OptimizeSkewedJoin rule when introducing additional shuffle

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