[GitHub] [spark] SparkQA commented on issue #24735: [SPARK-27871][SQL] LambdaVariable should use per-query unique IDs instead of globally unique IDs

2019-06-12 Thread GitBox
SparkQA commented on issue #24735: [SPARK-27871][SQL] LambdaVariable should use per-query unique IDs instead of globally unique IDs URL: https://github.com/apache/spark/pull/24735#issuecomment-501147855 **[Test build #106404 has

[GitHub] [spark] SparkQA commented on issue #24842: [SPARK-28002][SQL] Support WITH clause column aliases

2019-06-12 Thread GitBox
SparkQA commented on issue #24842: [SPARK-28002][SQL] Support WITH clause column aliases URL: https://github.com/apache/spark/pull/24842#issuecomment-501147858 **[Test build #106405 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/106405/testReport)** for

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[GitHub] [spark] cloud-fan commented on a change in pull request #24806: [WIP][SPARK-27856][SQL] Only allow type upcasting when inserting table

2019-06-12 Thread GitBox
cloud-fan commented on a change in pull request #24806: [WIP][SPARK-27856][SQL] Only allow type upcasting when inserting table URL: https://github.com/apache/spark/pull/24806#discussion_r292768996 ## File path:

[GitHub] [spark] gengliangwang commented on a change in pull request #24849: [SPARK-28018][SQL] Allow upcasting decimal to double/float

2019-06-12 Thread GitBox
gengliangwang commented on a change in pull request #24849: [SPARK-28018][SQL] Allow upcasting decimal to double/float URL: https://github.com/apache/spark/pull/24849#discussion_r292791870 ## File path: sql/catalyst/src/main/scala/org/apache/spark/sql/types/DecimalType.scala

[GitHub] [spark] gengliangwang commented on issue #24849: [SPARK-28018][SQL] Allow upcasting decimal to double/float

2019-06-12 Thread GitBox
gengliangwang commented on issue #24849: [SPARK-28018][SQL] Allow upcasting decimal to double/float URL: https://github.com/apache/spark/pull/24849#issuecomment-501186464 @rxin Thanks, +1. I think we can close this one.

[GitHub] [spark] AmplabJenkins commented on issue #24792: [SPARK-27943][SPARK-27953][SQL] Add new feature create table could specify column with default constraint

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AmplabJenkins commented on issue #24792: [SPARK-27943][SPARK-27953][SQL] Add new feature create table could specify column with default constraint URL: https://github.com/apache/spark/pull/24792#issuecomment-501139384 Test PASSed. Refer to this link for build results (access rights to

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[GitHub] [spark] cloud-fan commented on issue #24735: [SPARK-27871][SQL] LambdaVariable should use per-query unique IDs instead of globally unique IDs

2019-06-12 Thread GitBox
cloud-fan commented on issue #24735: [SPARK-27871][SQL] LambdaVariable should use per-query unique IDs instead of globally unique IDs URL: https://github.com/apache/spark/pull/24735#issuecomment-501139840 retest this please

[GitHub] [spark] SparkQA commented on issue #24847: [SPARK-28013][BUILD][SS] Upgrade to Kafka 2.2.1

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SparkQA commented on issue #24847: [SPARK-28013][BUILD][SS] Upgrade to Kafka 2.2.1 URL: https://github.com/apache/spark/pull/24847#issuecomment-501149570 **[Test build #106406 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/106406/testReport)** for PR

[GitHub] [spark] sharmabhaskar edited a comment on issue #13231: [SPARK-15453] [SQL] Sort Merge Join to use bucketing metadata to optimize query plan

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sharmabhaskar edited a comment on issue #13231: [SPARK-15453] [SQL] Sort Merge Join to use bucketing metadata to optimize query plan URL: https://github.com/apache/spark/pull/13231#issuecomment-501110631 @tejasapatil I am facing the same issue while joining to bucketed tables . I am using

[GitHub] [spark] SparkQA commented on issue #24829: [WIP][SPARK-27988][SQL][TEST] Port AGGREGATES.sql [Part 3]

2019-06-12 Thread GitBox
SparkQA commented on issue #24829: [WIP][SPARK-27988][SQL][TEST] Port AGGREGATES.sql [Part 3] URL: https://github.com/apache/spark/pull/24829#issuecomment-501149571 **[Test build #106407 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/106407/testReport)**

[GitHub] [spark] wangyum commented on issue #24829: [WIP][SPARK-27988][SQL][TEST] Port AGGREGATES.sql [Part 3]

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wangyum commented on issue #24829: [WIP][SPARK-27988][SQL][TEST] Port AGGREGATES.sql [Part 3] URL: https://github.com/apache/spark/pull/24829#issuecomment-501149386 retest this please This is an automated message from the

[GitHub] [spark] SparkQA commented on issue #24806: [WIP][SPARK-27856][SQL] Only allow type upcasting when inserting table

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SparkQA commented on issue #24806: [WIP][SPARK-27856][SQL] Only allow type upcasting when inserting table URL: https://github.com/apache/spark/pull/24806#issuecomment-501149567 **[Test build #106408 has

[GitHub] [spark] zuotingbing opened a new pull request #24848: [SPARK-28014][core] All waiting apps will be changed to the wrong state of Running after master changed.

2019-06-12 Thread GitBox
zuotingbing opened a new 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 ## What changes were proposed in this pull request? These waiting apps which

[GitHub] [spark] gengliangwang commented on a change in pull request #24806: [WIP][SPARK-27856][SQL] Only allow type upcasting when inserting table

2019-06-12 Thread GitBox
gengliangwang commented on a change in pull request #24806: [WIP][SPARK-27856][SQL] Only allow type upcasting when inserting table URL: https://github.com/apache/spark/pull/24806#discussion_r292786952 ## File path:

[GitHub] [spark] gengliangwang edited a comment on issue #24849: [SPARK-28018][SQL] Allow upcasting decimal to double/float

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gengliangwang edited a comment on issue #24849: [SPARK-28018][SQL] Allow upcasting decimal to double/float URL: https://github.com/apache/spark/pull/24849#issuecomment-501168100 @cloud-fan @ueshin @maropu @dongjoon-hyun @rxin @rdblue @gatorsmile @HyukjinKwon Actually, I am not super

[GitHub] [spark] SparkQA commented on issue #23850: [SPARK-26949][SS] Prevent 'purge' to remove needed batch files in CompactibleFileStreamLog

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SparkQA commented on issue #23850: [SPARK-26949][SS] Prevent 'purge' to remove needed batch files in CompactibleFileStreamLog URL: https://github.com/apache/spark/pull/23850#issuecomment-501179373 **[Test build #106412 has

[GitHub] [spark] SparkQA commented on issue #24847: [SPARK-28013][BUILD][SS] Upgrade to Kafka 2.2.1

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SparkQA commented on issue #24847: [SPARK-28013][BUILD][SS] Upgrade to Kafka 2.2.1 URL: https://github.com/apache/spark/pull/24847#issuecomment-501193675 **[Test build #106406 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/106406/testReport)** for PR

[GitHub] [spark] SparkQA commented on issue #24735: [SPARK-27871][SQL] LambdaVariable should use per-query unique IDs instead of globally unique IDs

2019-06-12 Thread GitBox
SparkQA commented on issue #24735: [SPARK-27871][SQL] LambdaVariable should use per-query unique IDs instead of globally unique IDs URL: https://github.com/apache/spark/pull/24735#issuecomment-501141551 **[Test build #106404 has

[GitHub] [spark] dongjoon-hyun commented on a change in pull request #24752: [SPARK-27893][SQL][PYTHON] Create an integrated test base for Python, Scalar Pandas, Scala UDF by sql files

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dongjoon-hyun commented on a change in pull request #24752: [SPARK-27893][SQL][PYTHON] Create an integrated test base for Python, Scalar Pandas, Scala UDF by sql files URL: https://github.com/apache/spark/pull/24752#discussion_r292764404 ## File path:

[GitHub] [spark] cloud-fan commented on a change in pull request #24752: [SPARK-27893][SQL][PYTHON] Create an integrated test base for Python, Scalar Pandas, Scala UDF by sql files

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cloud-fan commented on a change in pull request #24752: [SPARK-27893][SQL][PYTHON] Create an integrated test base for Python, Scalar Pandas, Scala UDF by sql files URL: https://github.com/apache/spark/pull/24752#discussion_r292765731 ## File path:

[GitHub] [spark] ScrapCodes closed pull request #24585: [Spark-27664][SQL] Performance issue while listing large number of files on an object store.

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ScrapCodes closed pull request #24585: [Spark-27664][SQL] Performance issue while listing large number of files on an object store. URL: https://github.com/apache/spark/pull/24585 This is an automated message from the

[GitHub] [spark] ScrapCodes commented on issue #24585: [Spark-27664][SQL] Performance issue while listing large number of files on an object store.

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ScrapCodes commented on issue #24585: [Spark-27664][SQL] Performance issue while listing large number of files on an object store. URL: https://github.com/apache/spark/pull/24585#issuecomment-501143164 It was my mistake to open the issue without preparing the performance comparison data,

[GitHub] [spark] cloud-fan commented on a change in pull request #24806: [WIP][SPARK-27856][SQL] Only allow type upcasting when inserting table

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cloud-fan commented on a change in pull request #24806: [WIP][SPARK-27856][SQL] Only allow type upcasting when inserting table URL: https://github.com/apache/spark/pull/24806#discussion_r292768394 ## File path:

[GitHub] [spark] SparkQA commented on issue #24842: [SPARK-28002][SQL] Support WITH clause column aliases

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SparkQA commented on issue #24842: [SPARK-28002][SQL] Support WITH clause column aliases URL: https://github.com/apache/spark/pull/24842#issuecomment-501145319 **[Test build #106405 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/106405/testReport)** for

[GitHub] [spark] SparkQA commented on issue #24829: [WIP][SPARK-27988][SQL][TEST] Port AGGREGATES.sql [Part 3]

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SparkQA commented on issue #24829: [WIP][SPARK-27988][SQL][TEST] Port AGGREGATES.sql [Part 3] URL: https://github.com/apache/spark/pull/24829#issuecomment-501151660 **[Test build #106409 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/106409/testReport)**

[GitHub] [spark] gengliangwang commented on a change in pull request #24806: [WIP][SPARK-27856][SQL] Only allow type upcasting when inserting table

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gengliangwang commented on a change in pull request #24806: [WIP][SPARK-27856][SQL] Only allow type upcasting when inserting table URL: https://github.com/apache/spark/pull/24806#discussion_r292774456 ## File path:

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[GitHub] [spark] gengliangwang opened a new pull request #24849: [SPARK-28018][SQL] Allow upcasting decimal to double/float

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gengliangwang opened a new pull request #24849: [SPARK-28018][SQL] Allow upcasting decimal to double/float URL: https://github.com/apache/spark/pull/24849 ## What changes were proposed in this pull request? Currently, Spark only allows upcasting DecimalType to IntegralType or

[GitHub] [spark] rxin commented on issue #24849: [SPARK-28018][SQL] Allow upcasting decimal to double/float

2019-06-12 Thread GitBox
rxin commented on issue #24849: [SPARK-28018][SQL] Allow upcasting decimal to double/float URL: https://github.com/apache/spark/pull/24849#issuecomment-501183063 We shouldn't do this. Decimal guarantees no loss of precision (which is important for financial calculations). This type of

[GitHub] [spark] AmplabJenkins commented on issue #24779: [SPARK-27929][SQL][WIP] Make percentile function receive frq of double

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AmplabJenkins commented on issue #24779: [SPARK-27929][SQL][WIP] Make percentile function receive frq of double URL: https://github.com/apache/spark/pull/24779#issuecomment-501187496 Merged build finished. Test PASSed. This

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[GitHub] [spark] voidbag edited a comment on issue #24779: [SPARK-27929][SQL][WIP] Make percentile function receive frq of double

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voidbag edited a comment on issue #24779: [SPARK-27929][SQL][WIP] Make percentile function receive frq of double URL: https://github.com/apache/spark/pull/24779#issuecomment-500340705 @dongjoon-hyun Replies 1. Benefits - This PR makes it possible to calculate percentile

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[GitHub] [spark] SparkQA commented on issue #24779: [SPARK-27929][SQL][WIP] Make percentile function receive frq of double

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SparkQA commented on issue #24779: [SPARK-27929][SQL][WIP] Make percentile function receive frq of double URL: https://github.com/apache/spark/pull/24779#issuecomment-501188256 **[Test build #106414 has

[GitHub] [spark] beliefer commented on a change in pull request #24792: [SPARK-27943][SPARK-27953][SQL] Add new feature create table could specify column with default constraint

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beliefer commented on a change in pull request #24792: [SPARK-27943][SPARK-27953][SQL] Add new feature create table could specify column with default constraint URL: https://github.com/apache/spark/pull/24792#discussion_r292847562 ## File path:

[GitHub] [spark] SparkQA commented on issue #24788: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture

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SparkQA commented on issue #24788: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture URL: https://github.com/apache/spark/pull/24788#issuecomment-501221065 **[Test build #106417 has

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AmplabJenkins commented on issue #24788: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture URL: https://github.com/apache/spark/pull/24788#issuecomment-501221077 Merged build finished. Test FAILed.

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[GitHub] [spark] SparkQA commented on issue #24849: [SPARK-28018][SQL] Allow upcasting decimal to double/float

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AmplabJenkins removed a comment on issue #24851: [SPARK-27303][GRAPH] Add PropertyGraph construction API URL: https://github.com/apache/spark/pull/24851#issuecomment-501254188 Can one of the admins verify this patch? This is

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srowen commented on a change in pull request #24788: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture URL: https://github.com/apache/spark/pull/24788#discussion_r292876421 ## File path: docs/sql-migration-guide-upgrade.md

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[GitHub] [spark] s1ck opened a new pull request #24851: [SPARK-27303][GRAPH] Add PropertyGraph construction API

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s1ck opened a new pull request #24851: [SPARK-27303][GRAPH] Add PropertyGraph construction API URL: https://github.com/apache/spark/pull/24851 ## What changes were proposed in this pull request? This PR adds a Scala/Java API for creating Property Graphs in the `spark-graph-api`

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