[GitHub] spark pull request: [SQL] Refactors data type pattern matching

2014-12-17 Thread asfgit
Github user asfgit closed the pull request at: https://github.com/apache/spark/pull/2764 --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enab

[GitHub] spark pull request: [SQL] Refactors data type pattern matching

2014-12-17 Thread marmbrus
Github user marmbrus commented on the pull request: https://github.com/apache/spark/pull/2764#issuecomment-67381357 Sorry for the delay here. I think it would be good to clean up how we do pattern matching and this looks like a good start. Here's what I propose: - close this iss

[GitHub] spark pull request: [SQL] Refactors data type pattern matching

2014-11-02 Thread liancheng
Github user liancheng commented on the pull request: https://github.com/apache/spark/pull/2764#issuecomment-61400524 @marmbrus This should be ready to go since #2983 has been merged. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub

[GitHub] spark pull request: [SQL] Refactors data type pattern matching

2014-11-01 Thread liancheng
Github user liancheng commented on the pull request: https://github.com/apache/spark/pull/2764#issuecomment-61361922 Rebased to master. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this fe

[GitHub] spark pull request: [SQL] Refactors data type pattern matching

2014-10-21 Thread liancheng
Github user liancheng commented on a diff in the pull request: https://github.com/apache/spark/pull/2764#discussion_r19135372 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/types/dataTypes.scala --- @@ -319,10 +315,8 @@ case object ByteType extends IntegralTyp

[GitHub] spark pull request: [SQL] Refactors data type pattern matching

2014-10-20 Thread marmbrus
Github user marmbrus commented on a diff in the pull request: https://github.com/apache/spark/pull/2764#discussion_r19118592 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/types/dataTypes.scala --- @@ -319,10 +315,8 @@ case object ByteType extends IntegralType

[GitHub] spark pull request: [SQL] Refactors data type pattern matching

2014-10-20 Thread marmbrus
Github user marmbrus commented on a diff in the pull request: https://github.com/apache/spark/pull/2764#discussion_r19118466 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/HiveTypeCoercion.scala --- @@ -107,20 +107,20 @@ trait HiveTypeCoercion {

[GitHub] spark pull request: [SQL] Refactors data type pattern matching

2014-10-13 Thread marmbrus
Github user marmbrus commented on the pull request: https://github.com/apache/spark/pull/2764#issuecomment-58951446 This does look like a better style that what we were doing before. We should coordinate with the changes @mateiz is making for decimal type. --- If your project is set

[GitHub] spark pull request: [SQL] Refactors data type pattern matching

2014-10-11 Thread liancheng
Github user liancheng commented on a diff in the pull request: https://github.com/apache/spark/pull/2764#discussion_r18740906 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/HiveTypeCoercion.scala --- @@ -107,20 +107,20 @@ trait HiveTypeCoercion {

[GitHub] spark pull request: [SQL] Refactors data type pattern matching

2014-10-11 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/2764#issuecomment-58743014 [QA tests have finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/21640/consoleFull) for PR 2764 at commit [`f391be5`](https://github.com/a

[GitHub] spark pull request: [SQL] Refactors data type pattern matching

2014-10-11 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request: https://github.com/apache/spark/pull/2764#issuecomment-58743015 Test PASSed. Refer to this link for build results (access rights to CI server needed): https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/2

[GitHub] spark pull request: [SQL] Refactors data type pattern matching

2014-10-11 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/2764#issuecomment-58742085 [QA tests have started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/21640/consoleFull) for PR 2764 at commit [`f391be5`](https://github.com/ap

[GitHub] spark pull request: [SQL] Refactors data type pattern matching

2014-10-11 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request: https://github.com/apache/spark/pull/2764#issuecomment-58742036 Can one of the admins verify this patch? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your pro

[GitHub] spark pull request: [SQL] Refactors data type pattern matching

2014-10-11 Thread liancheng
GitHub user liancheng opened a pull request: https://github.com/apache/spark/pull/2764 [SQL] Refactors data type pattern matching Refactors/adds extractors for `DataType` and `Binary*` types to ease and simplify data type related (nested) pattern matching. You can merge this pull r