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[GitHub] [spark] viirya commented on a change in pull request #24846: [SPARK-28012][SQL] Hive UDF supports literal struct type

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[GitHub] [spark] xuanyuanking opened a new pull request #24892: [SPARK-25341][Core] Support rolling back a shuffle map stage and re-generate the shuffle files

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[GitHub] [spark] srowen opened a new pull request #24893: [SPARK-28081][ML] Handle large vocab counts in word2vec

srowen opened a new pull request #24893: [SPARK-28081][ML] Handle large vocab counts in word2vec URL: https://github.com/apache/spark/pull/24893 ## What changes were proposed in this pull request? The word2vec logic fails if a corpora has a word with count > 1e9. We should be able

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srowen commented on issue #24891: [SPARK-28075][SQL] Enhance TRIM function URL: https://github.com/apache/spark/pull/24891#issuecomment-502717826 OK, can you clarify the PR / JIRA? it sounds like this already works to some degree. It'd be good to know what isn't working and what you're

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[GitHub] [spark] viirya opened a new pull request #24894: [SPARK-28058][DOC] Add a note to DROPMALFORMED mode of CSV for column pruning

viirya opened a new pull request #24894: [SPARK-28058][DOC] Add a note to DROPMALFORMED mode of CSV for column pruning URL: https://github.com/apache/spark/pull/24894 ## What changes were proposed in this pull request? When using `DROPMALFORMED` mode, corrupted records aren't

[GitHub] [spark] HyukjinKwon commented on a change in pull request #24894: [SPARK-28058][DOC] Add a note to DROPMALFORMED mode of CSV for column pruning

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[GitHub] [spark] viirya commented on a change in pull request #24894: [SPARK-28058][DOC] Add a note to DROPMALFORMED mode of CSV for column pruning

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srowen commented on issue #24891: [SPARK-28075][SQL] Enhance TRIM function URL: https://github.com/apache/spark/pull/24891#issuecomment-502687174 Interesting, it looks like Spark SQL already tries to support this? is this more of a fix to the implementation?

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[GitHub] [spark] SparkQA commented on issue #24892: [SPARK-25341][Core] Support rolling back a shuffle map stage and re-generate the shuffle files

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[GitHub] [spark] AmplabJenkins removed a comment on issue #24892: [SPARK-25341][Core] Support rolling back a shuffle map stage and re-generate the shuffle files

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[GitHub] [spark] AmplabJenkins commented on issue #24894: [SPARK-28058][DOC] Add a note to DROPMALFORMED mode of CSV for column pruning

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[GitHub] [spark] srowen commented on a change in pull request #24702: [SPARK-27989] [Kubernetes] [Core] Added retries on the connection to the driver for k8s

srowen commented on a change in pull request #24702: [SPARK-27989] [Kubernetes] [Core] Added retries on the connection to the driver for k8s URL: https://github.com/apache/spark/pull/24702#discussion_r294340743 ## File path:

[GitHub] [spark] AmplabJenkins removed a comment on issue #24894: [SPARK-28058][DOC] Add a note to DROPMALFORMED mode of CSV for column pruning

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[GitHub] [spark] AmplabJenkins commented on issue #24895: [DOC] Fix python variance() documentation

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[GitHub] [spark] AmplabJenkins commented on issue #24699: [SPARK-27666][CORE] Do not release lock while TaskContext already completed

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[GitHub] [spark] HyukjinKwon commented on a change in pull request #24894: [SPARK-28058][DOC] Add a note to DROPMALFORMED mode of CSV for column pruning

HyukjinKwon commented on a change in pull request #24894: [SPARK-28058][DOC] Add a note to DROPMALFORMED mode of CSV for column pruning URL: https://github.com/apache/spark/pull/24894#discussion_r294351448 ## File path: python/pyspark/sql/readwriter.py ## @@ -441,7

[GitHub] [spark] SparkQA commented on issue #24846: [SPARK-28012][SQL] Hive UDF supports struct type foldable expression

SparkQA commented on issue #24846: [SPARK-28012][SQL] Hive UDF supports struct type foldable expression URL: https://github.com/apache/spark/pull/24846#issuecomment-502727318 **[Test build #106585 has

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[GitHub] [spark] Ngone51 commented on a change in pull request #24848: [SPARK-28014][core] All waiting apps will be changed to the wrong state of Running after master changed.

Ngone51 commented on a change in pull request #24848: [SPARK-28014][core] All waiting apps will be changed to the wrong state of Running after master changed. URL: https://github.com/apache/spark/pull/24848#discussion_r294247023 ## File path:

[GitHub] [spark] DylanGuedes commented on issue #24881: [SPARK-23160][SQL][TEST] Port window.sql

DylanGuedes commented on issue #24881: [SPARK-23160][SQL][TEST] Port window.sql URL: https://github.com/apache/spark/pull/24881#issuecomment-502659861 Hmm I was always generating them, I think that at the end I made a minor change and forgot to rerun then because I just changed a comment.

[GitHub] [spark] SparkQA commented on issue #24846: [SPARK-28012][SQL] Hive UDF supports literal struct type

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[GitHub] [spark] srowen commented on a change in pull request #24845: Map ByteType to SMALLINT when using JDBC with PostgreSQL

srowen commented on a change in pull request #24845: Map ByteType to SMALLINT when using JDBC with PostgreSQL URL: https://github.com/apache/spark/pull/24845#discussion_r294304186 ## File path: sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala ## @@

[GitHub] [spark] viirya commented on a change in pull request #24894: [SPARK-28058][DOC] Add a note to DROPMALFORMED mode of CSV for column pruning

viirya commented on a change in pull request #24894: [SPARK-28058][DOC] Add a note to DROPMALFORMED mode of CSV for column pruning URL: https://github.com/apache/spark/pull/24894#discussion_r294337292 ## File path: python/pyspark/sql/readwriter.py ## @@ -441,7 +441,12 @@

[GitHub] [spark] cxzl25 commented on a change in pull request #24846: [SPARK-28012][SQL] Hive UDF supports literal struct type

cxzl25 commented on a change in pull request #24846: [SPARK-28012][SQL] Hive UDF supports literal struct type URL: https://github.com/apache/spark/pull/24846#discussion_r294242635 ## File path: sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveInspectors.scala ## @@

[GitHub] [spark] SparkQA commented on issue #24889: [SPARK-28072][SQL] Use `Iso8601TimestampFormatter` in `FromUnixTime` codegen to fix ICCE in JDK9+

SparkQA commented on issue #24889: [SPARK-28072][SQL] Use `Iso8601TimestampFormatter` in `FromUnixTime` codegen to fix ICCE in JDK9+ URL: https://github.com/apache/spark/pull/24889#issuecomment-502635006 **[Test build #106578 has

[GitHub] [spark] WeichenXu123 commented on issue #24830: [SPARK-27990][SQL][ML] Provide a way to recursively load data from datasource

WeichenXu123 commented on issue #24830: [SPARK-27990][SQL][ML] Provide a way to recursively load data from datasource URL: https://github.com/apache/spark/pull/24830#issuecomment-502670813 Jenkins, retest this please. This

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[GitHub] [spark] HyukjinKwon commented on issue #24888: [SPARK-28040][SPARK-28070][R] Write type object s3

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