[GitHub] [spark] maryannxue commented on a change in pull request #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations

maryannxue commented on a change in pull request #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations URL: https://github.com/apache/spark/pull/27493#discussion_r377143990 ## File path:

[GitHub] [spark] maryannxue commented on a change in pull request #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations

maryannxue commented on a change in pull request #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations URL: https://github.com/apache/spark/pull/27493#discussion_r377137379 ## File path:

[GitHub] [spark] maryannxue commented on a change in pull request #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations

maryannxue commented on a change in pull request #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations URL: https://github.com/apache/spark/pull/27493#discussion_r377136054 ## File path:

[GitHub] [spark] maryannxue commented on a change in pull request #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations

maryannxue commented on a change in pull request #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations URL: https://github.com/apache/spark/pull/27493#discussion_r377139324 ## File path:

[GitHub] [spark] Eric5553 commented on issue #26977: [SPARK-30326][SQL] Raise exception if analyzer exceed max iterations

Eric5553 commented on issue #26977: [SPARK-30326][SQL] Raise exception if analyzer exceed max iterations URL: https://github.com/apache/spark/pull/26977#issuecomment-584188827 Thank you all !! This is an automated message

[GitHub] [spark] AmplabJenkins removed a comment on issue #27521: [SPARK-29462] The data type of "array()" should be array

AmplabJenkins removed a comment on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584187384 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins removed a comment on issue #27521: [SPARK-29462] The data type of "array()" should be array

AmplabJenkins removed a comment on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584187377 Merged build finished. Test PASSed. This is an

[GitHub] [spark] AmplabJenkins commented on issue #27521: [SPARK-29462] The data type of "array()" should be array

AmplabJenkins commented on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584187384 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584186118 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] Eric5553 commented on issue #27368: [SPARK-30651][SQL] Add detailed information for Aggregate operators in EXPLAIN FORMATTED

Eric5553 commented on issue #27368: [SPARK-30651][SQL] Add detailed information for Aggregate operators in EXPLAIN FORMATTED URL: https://github.com/apache/spark/pull/27368#issuecomment-584187382 retest this please This is

[GitHub] [spark] AmplabJenkins commented on issue #27521: [SPARK-29462] The data type of "array()" should be array

AmplabJenkins commented on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584187377 Merged build finished. Test PASSed. This is an

[GitHub] [spark] Eric5553 commented on a change in pull request #27368: [SPARK-30651][SQL] Add detailed information for Aggregate operators in EXPLAIN FORMATTED

Eric5553 commented on a change in pull request #27368: [SPARK-30651][SQL] Add detailed information for Aggregate operators in EXPLAIN FORMATTED URL: https://github.com/apache/spark/pull/27368#discussion_r377144347 ## File path:

[GitHub] [spark] Eric5553 commented on a change in pull request #27368: [SPARK-30651][SQL] Add detailed information for Aggregate operators in EXPLAIN FORMATTED

Eric5553 commented on a change in pull request #27368: [SPARK-30651][SQL] Add detailed information for Aggregate operators in EXPLAIN FORMATTED URL: https://github.com/apache/spark/pull/27368#discussion_r377144347 ## File path:

[GitHub] [spark] SparkQA removed a comment on issue #27521: [SPARK-29462] The data type of "array()" should be array

SparkQA removed a comment on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584057256 **[Test build #118151 has

[GitHub] [spark] SparkQA removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

SparkQA removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584156898 **[Test build #118167 has

[GitHub] [spark] AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584186106 Merged build finished. Test FAILed.

[GitHub] [spark] SparkQA commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

SparkQA commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584185912 **[Test build #118167 has

[GitHub] [spark] SparkQA commented on issue #27521: [SPARK-29462] The data type of "array()" should be array

SparkQA commented on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584186071 **[Test build #118151 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/118151/testReport)**

[GitHub] [spark] AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584186106 Merged build finished. Test FAILed. This is

[GitHub] [spark] AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584186118 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] cloud-fan closed pull request #26977: [SPARK-30326][SQL] Raise exception if analyzer exceed max iterations

cloud-fan closed pull request #26977: [SPARK-30326][SQL] Raise exception if analyzer exceed max iterations URL: https://github.com/apache/spark/pull/26977 This is an automated message from the Apache Git Service. To respond

[GitHub] [spark] cloud-fan commented on issue #26977: [SPARK-30326][SQL] Raise exception if analyzer exceed max iterations

cloud-fan commented on issue #26977: [SPARK-30326][SQL] Raise exception if analyzer exceed max iterations URL: https://github.com/apache/spark/pull/26977#issuecomment-584184628 This needs to be in 3.0. In Spark 2.4 the analyzer max iteration was controlled by

[GitHub] [spark] SparkQA commented on issue #27521: [SPARK-29462] The data type of "array()" should be array

SparkQA commented on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584181382 **[Test build #118170 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/118170/testReport)**

[GitHub] [spark] AmplabJenkins removed a comment on issue #27521: [SPARK-29462] The data type of "array()" should be array

AmplabJenkins removed a comment on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584177998 Merged build finished. Test PASSed. This is an

[GitHub] [spark] AmplabJenkins removed a comment on issue #27521: [SPARK-29462] The data type of "array()" should be array

AmplabJenkins removed a comment on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584178008 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins commented on issue #27521: [SPARK-29462] The data type of "array()" should be array

AmplabJenkins commented on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584178008 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins commented on issue #27521: [SPARK-29462] The data type of "array()" should be array

AmplabJenkins commented on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584177998 Merged build finished. Test PASSed. This is an

[GitHub] [spark] liangz1 commented on a change in pull request #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

liangz1 commented on a change in pull request #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#discussion_r377132247 ## File path: mllib/src/test/scala/org/apache/spark/ml/FunctionsSuite.scala ##

[GitHub] [spark] HyukjinKwon commented on issue #27521: [SPARK-29462] The data type of "array()" should be array

HyukjinKwon commented on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584177538 retest this please This is an automated message from the

[GitHub] [spark] AmplabJenkins removed a comment on issue #27521: [SPARK-29462] The data type of "array()" should be array

AmplabJenkins removed a comment on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584174563 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins removed a comment on issue #27521: [SPARK-29462] The data type of "array()" should be array

AmplabJenkins removed a comment on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584174554 Merged build finished. Test FAILed. This is an

[GitHub] [spark] AmplabJenkins commented on issue #27521: [SPARK-29462] The data type of "array()" should be array

AmplabJenkins commented on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584174554 Merged build finished. Test FAILed. This is an

[GitHub] [spark] AmplabJenkins commented on issue #27521: [SPARK-29462] The data type of "array()" should be array

AmplabJenkins commented on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584174563 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584173863 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] SparkQA commented on issue #27521: [SPARK-29462] The data type of "array()" should be array

SparkQA commented on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584174067 **[Test build #118153 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/118153/testReport)**

[GitHub] [spark] SparkQA removed a comment on issue #27521: [SPARK-29462] The data type of "array()" should be array

SparkQA removed a comment on issue #27521: [SPARK-29462] The data type of "array()" should be array URL: https://github.com/apache/spark/pull/27521#issuecomment-584066609 **[Test build #118153 has

[GitHub] [spark] AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584173855 Merged build finished. Test PASSed.

[GitHub] [spark] AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584173855 Merged build finished. Test PASSed. This is

[GitHub] [spark] AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584173863 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] SparkQA commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

SparkQA commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584173179 **[Test build #118169 has

[GitHub] [spark] AmplabJenkins removed a comment on issue #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations

AmplabJenkins removed a comment on issue #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations URL: https://github.com/apache/spark/pull/27493#issuecomment-584169657 Test PASSed. Refer to this link for build results (access rights to CI server

[GitHub] [spark] AmplabJenkins removed a comment on issue #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations

AmplabJenkins removed a comment on issue #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations URL: https://github.com/apache/spark/pull/27493#issuecomment-584169647 Merged build finished. Test PASSed.

[GitHub] [spark] AmplabJenkins commented on issue #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations

AmplabJenkins commented on issue #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations URL: https://github.com/apache/spark/pull/27493#issuecomment-584169657 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins commented on issue #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations

AmplabJenkins commented on issue #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations URL: https://github.com/apache/spark/pull/27493#issuecomment-584169647 Merged build finished. Test PASSed.

[GitHub] [spark] SparkQA commented on issue #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations

SparkQA commented on issue #27493: [SPARK-30751][SQL] Combine the skewed readers into one in AQE skew join optimizations URL: https://github.com/apache/spark/pull/27493#issuecomment-584169032 **[Test build #118168 has

[GitHub] [spark] cloud-fan commented on issue #27252: [SPARK-29231][SQL] Constraints should be inferred from cast equality constraint

cloud-fan commented on issue #27252: [SPARK-29231][SQL] Constraints should be inferred from cast equality constraint URL: https://github.com/apache/spark/pull/27252#issuecomment-584166169 The change itself LGTM This is an

[GitHub] [spark] cloud-fan commented on a change in pull request #27252: [SPARK-29231][SQL] Constraints should be inferred from cast equality constraint

cloud-fan commented on a change in pull request #27252: [SPARK-29231][SQL] Constraints should be inferred from cast equality constraint URL: https://github.com/apache/spark/pull/27252#discussion_r377117538 ## File path:

[GitHub] [spark] cloud-fan commented on issue #27252: [SPARK-29231][SQL] Constraints should be inferred from cast equality constraint

cloud-fan commented on issue #27252: [SPARK-29231][SQL] Constraints should be inferred from cast equality constraint URL: https://github.com/apache/spark/pull/27252#issuecomment-584165030 can you run `TPCDSQuerySuite` locally and see how much overhead this feature brings to the optimizer?

[GitHub] [spark] AmplabJenkins removed a comment on issue #27513: [DO-NOT-MERGE][test-hive-2.3][test-hadoop2.7] Test Hive thrift server in branch-3.0

AmplabJenkins removed a comment on issue #27513: [DO-NOT-MERGE][test-hive-2.3][test-hadoop2.7] Test Hive thrift server in branch-3.0 URL: https://github.com/apache/spark/pull/27513#issuecomment-584159514 Test FAILed. Refer to this link for build results (access rights to CI server

[GitHub] [spark] AmplabJenkins removed a comment on issue #27513: [DO-NOT-MERGE][test-hive-2.3][test-hadoop2.7] Test Hive thrift server in branch-3.0

AmplabJenkins removed a comment on issue #27513: [DO-NOT-MERGE][test-hive-2.3][test-hadoop2.7] Test Hive thrift server in branch-3.0 URL: https://github.com/apache/spark/pull/27513#issuecomment-584159500 Merged build finished. Test FAILed.

[GitHub] [spark] AmplabJenkins commented on issue #27513: [DO-NOT-MERGE][test-hive-2.3][test-hadoop2.7] Test Hive thrift server in branch-3.0

AmplabJenkins commented on issue #27513: [DO-NOT-MERGE][test-hive-2.3][test-hadoop2.7] Test Hive thrift server in branch-3.0 URL: https://github.com/apache/spark/pull/27513#issuecomment-584159514 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] SparkQA removed a comment on issue #27513: [DO-NOT-MERGE][test-hive-2.3][test-hadoop2.7] Test Hive thrift server in branch-3.0

SparkQA removed a comment on issue #27513: [DO-NOT-MERGE][test-hive-2.3][test-hadoop2.7] Test Hive thrift server in branch-3.0 URL: https://github.com/apache/spark/pull/27513#issuecomment-584086797 **[Test build #118157 has

[GitHub] [spark] AmplabJenkins commented on issue #27513: [DO-NOT-MERGE][test-hive-2.3][test-hadoop2.7] Test Hive thrift server in branch-3.0

AmplabJenkins commented on issue #27513: [DO-NOT-MERGE][test-hive-2.3][test-hadoop2.7] Test Hive thrift server in branch-3.0 URL: https://github.com/apache/spark/pull/27513#issuecomment-584159500 Merged build finished. Test FAILed.

[GitHub] [spark] SparkQA commented on issue #27513: [DO-NOT-MERGE][test-hive-2.3][test-hadoop2.7] Test Hive thrift server in branch-3.0

SparkQA commented on issue #27513: [DO-NOT-MERGE][test-hive-2.3][test-hadoop2.7] Test Hive thrift server in branch-3.0 URL: https://github.com/apache/spark/pull/27513#issuecomment-584158978 **[Test build #118157 has

[GitHub] [spark] AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584157649 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584157643 Merged build finished. Test PASSed.

[GitHub] [spark] AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584154286 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584157649 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584157643 Merged build finished. Test PASSed. This is

[GitHub] [spark] SparkQA commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

SparkQA commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584156898 **[Test build #118167 has

[GitHub] [spark] SparkQA removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

SparkQA removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584153161 **[Test build #118165 has

[GitHub] [spark] AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584154275 Merged build finished. Test FAILed.

[GitHub] [spark] AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584154275 Merged build finished. Test FAILed. This is

[GitHub] [spark] SparkQA commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

SparkQA commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584154258 **[Test build #118165 has

[GitHub] [spark] AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584153727 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins removed a comment on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API

AmplabJenkins removed a comment on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API URL: https://github.com/apache/spark/pull/27494#issuecomment-584153775 Merged build finished. Test PASSed.

[GitHub] [spark] AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584154286 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins removed a comment on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584153714 Merged build finished. Test PASSed.

[GitHub] [spark] AmplabJenkins removed a comment on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API

AmplabJenkins removed a comment on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API URL: https://github.com/apache/spark/pull/27494#issuecomment-584153788 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins commented on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API

AmplabJenkins commented on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API URL: https://github.com/apache/spark/pull/27494#issuecomment-584153788 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins commented on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API

AmplabJenkins commented on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API URL: https://github.com/apache/spark/pull/27494#issuecomment-584153775 Merged build finished. Test PASSed.

[GitHub] [spark] AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584153727 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

AmplabJenkins commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584153714 Merged build finished. Test PASSed. This is

[GitHub] [spark] SparkQA commented on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API

SparkQA commented on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API URL: https://github.com/apache/spark/pull/27494#issuecomment-584153170 **[Test build #118166 has

[GitHub] [spark] SparkQA commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF

SparkQA commented on issue #27522: [WIP][SPARK-30762] Add dtype=float32 support to vector_to_array UDF URL: https://github.com/apache/spark/pull/27522#issuecomment-584153161 **[Test build #118165 has

[GitHub] [spark] Eric5553 removed a comment on issue #27509: [SPARK-30764][SQL] Improve the readability of EXPLAIN FORMATTED style

Eric5553 removed a comment on issue #27509: [SPARK-30764][SQL] Improve the readability of EXPLAIN FORMATTED style URL: https://github.com/apache/spark/pull/27509#issuecomment-584002561 retest this please This is an automated

[GitHub] [spark] MaxGekk commented on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API

MaxGekk commented on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API URL: https://github.com/apache/spark/pull/27494#issuecomment-584150360 jenkins, retest this, please This is an

[GitHub] [spark] AmplabJenkins commented on issue #27440: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function

AmplabJenkins commented on issue #27440: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function URL: https://github.com/apache/spark/pull/27440#issuecomment-584148259 Merged build finished. Test PASSed. This is an

[GitHub] [spark] AmplabJenkins commented on issue #27440: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function

AmplabJenkins commented on issue #27440: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function URL: https://github.com/apache/spark/pull/27440#issuecomment-584148277 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins removed a comment on issue #27440: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function

AmplabJenkins removed a comment on issue #27440: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function URL: https://github.com/apache/spark/pull/27440#issuecomment-584148259 Merged build finished. Test PASSed. This

[GitHub] [spark] AmplabJenkins removed a comment on issue #27440: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function

AmplabJenkins removed a comment on issue #27440: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function URL: https://github.com/apache/spark/pull/27440#issuecomment-584148277 Test PASSed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] SparkQA removed a comment on issue #27440: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function

SparkQA removed a comment on issue #27440: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function URL: https://github.com/apache/spark/pull/27440#issuecomment-584018801 **[Test build #118146 has

[GitHub] [spark] SparkQA commented on issue #27440: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function

SparkQA commented on issue #27440: [SPARK-27951][SQL] Support ANSI SQL NTH_VALUE window function URL: https://github.com/apache/spark/pull/27440#issuecomment-584147385 **[Test build #118146 has

[GitHub] [spark] AmplabJenkins removed a comment on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API

AmplabJenkins removed a comment on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API URL: https://github.com/apache/spark/pull/27494#issuecomment-584144461 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins removed a comment on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API

AmplabJenkins removed a comment on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API URL: https://github.com/apache/spark/pull/27494#issuecomment-584144452 Merged build finished. Test FAILed.

[GitHub] [spark] SparkQA removed a comment on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API

SparkQA removed a comment on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API URL: https://github.com/apache/spark/pull/27494#issuecomment-584060407 **[Test build #118152 has

[GitHub] [spark] AmplabJenkins commented on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API

AmplabJenkins commented on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API URL: https://github.com/apache/spark/pull/27494#issuecomment-584144461 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] AmplabJenkins commented on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API

AmplabJenkins commented on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API URL: https://github.com/apache/spark/pull/27494#issuecomment-584144452 Merged build finished. Test FAILed.

[GitHub] [spark] SparkQA commented on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API

SparkQA commented on issue #27494: [SPARK-30760][SQL] Port `millisToDays` and `daysToMillis` on Java 8 time API URL: https://github.com/apache/spark/pull/27494#issuecomment-584144132 **[Test build #118152 has

[GitHub] [spark] AmplabJenkins removed a comment on issue #27213: [SPARK-30516][SQL] statistic estimation of FileScan should take partitionFilters into account

AmplabJenkins removed a comment on issue #27213: [SPARK-30516][SQL] statistic estimation of FileScan should take partitionFilters into account URL: https://github.com/apache/spark/pull/27213#issuecomment-584140123 Merged build finished. Test PASSed.

[GitHub] [spark] AmplabJenkins removed a comment on issue #27213: [SPARK-30516][SQL] statistic estimation of FileScan should take partitionFilters into account

AmplabJenkins removed a comment on issue #27213: [SPARK-30516][SQL] statistic estimation of FileScan should take partitionFilters into account URL: https://github.com/apache/spark/pull/27213#issuecomment-584140133 Test PASSed. Refer to this link for build results (access rights to CI

[GitHub] [spark] AmplabJenkins commented on issue #27213: [SPARK-30516][SQL] statistic estimation of FileScan should take partitionFilters into account

AmplabJenkins commented on issue #27213: [SPARK-30516][SQL] statistic estimation of FileScan should take partitionFilters into account URL: https://github.com/apache/spark/pull/27213#issuecomment-584140123 Merged build finished. Test PASSed.

[GitHub] [spark] AmplabJenkins commented on issue #27213: [SPARK-30516][SQL] statistic estimation of FileScan should take partitionFilters into account

AmplabJenkins commented on issue #27213: [SPARK-30516][SQL] statistic estimation of FileScan should take partitionFilters into account URL: https://github.com/apache/spark/pull/27213#issuecomment-584140133 Test PASSed. Refer to this link for build results (access rights to CI server

[GitHub] [spark] SparkQA removed a comment on issue #27213: [SPARK-30516][SQL] statistic estimation of FileScan should take partitionFilters into account

SparkQA removed a comment on issue #27213: [SPARK-30516][SQL] statistic estimation of FileScan should take partitionFilters into account URL: https://github.com/apache/spark/pull/27213#issuecomment-584021737 **[Test build #118147 has

[GitHub] [spark] SparkQA commented on issue #27213: [SPARK-30516][SQL] statistic estimation of FileScan should take partitionFilters into account

SparkQA commented on issue #27213: [SPARK-30516][SQL] statistic estimation of FileScan should take partitionFilters into account URL: https://github.com/apache/spark/pull/27213#issuecomment-584139285 **[Test build #118147 has

[GitHub] [spark] AmplabJenkins removed a comment on issue #27368: [SPARK-30651][SQL] Add detailed information for Aggregate operators in EXPLAIN FORMATTED

AmplabJenkins removed a comment on issue #27368: [SPARK-30651][SQL] Add detailed information for Aggregate operators in EXPLAIN FORMATTED URL: https://github.com/apache/spark/pull/27368#issuecomment-584131537 Test FAILed. Refer to this link for build results (access rights to CI server

[GitHub] [spark] SparkQA removed a comment on issue #27368: [SPARK-30651][SQL] Add detailed information for Aggregate operators in EXPLAIN FORMATTED

SparkQA removed a comment on issue #27368: [SPARK-30651][SQL] Add detailed information for Aggregate operators in EXPLAIN FORMATTED URL: https://github.com/apache/spark/pull/27368#issuecomment-584075751 **[Test build #118154 has

[GitHub] [spark] AmplabJenkins removed a comment on issue #27368: [SPARK-30651][SQL] Add detailed information for Aggregate operators in EXPLAIN FORMATTED

AmplabJenkins removed a comment on issue #27368: [SPARK-30651][SQL] Add detailed information for Aggregate operators in EXPLAIN FORMATTED URL: https://github.com/apache/spark/pull/27368#issuecomment-584131523 Merged build finished. Test FAILed.

[GitHub] [spark] AmplabJenkins commented on issue #27368: [SPARK-30651][SQL] Add detailed information for Aggregate operators in EXPLAIN FORMATTED

AmplabJenkins commented on issue #27368: [SPARK-30651][SQL] Add detailed information for Aggregate operators in EXPLAIN FORMATTED URL: https://github.com/apache/spark/pull/27368#issuecomment-584131537 Test FAILed. Refer to this link for build results (access rights to CI server needed):

[GitHub] [spark] SparkQA commented on issue #27368: [SPARK-30651][SQL] Add detailed information for Aggregate operators in EXPLAIN FORMATTED

SparkQA commented on issue #27368: [SPARK-30651][SQL] Add detailed information for Aggregate operators in EXPLAIN FORMATTED URL: https://github.com/apache/spark/pull/27368#issuecomment-584131286 **[Test build #118154 has

<    3   4   5   6   7   8   9   10   11   12   >