[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2017-01-05 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/16337 Thanks! Merging 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 feature enabled and w

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2017-01-05 Thread rxin
Github user rxin commented on the issue: https://github.com/apache/spark/pull/16337 Go for it! --- 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 f

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2017-01-05 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/16337 Will merge it if nobody objects it in the next 24 hours. : ) --- 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 n

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2017-01-05 Thread nsyca
Github user nsyca commented on the issue: https://github.com/apache/spark/pull/16337 I believe it's ready to do so. Thank you, @gatorsmile, for your relentless effort to review this PR. This PR will serve as a baseline for subsequent PRs we will submit for the remaining test cases on

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2017-01-05 Thread hvanhovell
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/16337 @gatorsmile @nsyca @kevinyu98 can we pull the trigger on this one? --- 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

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2017-01-04 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/16337 I compared the results and confirmed the results are consistent. LGTM --- 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 proje

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2017-01-01 Thread AmplabJenkins
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[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

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2017-01-01 Thread SparkQA
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2017-01-01 Thread SparkQA
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[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-31 Thread AmplabJenkins
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[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

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[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-31 Thread SparkQA
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[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

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[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

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2016-12-22 Thread SparkQA
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2016-12-22 Thread SparkQA
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[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-22 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/16337 Retest this please. --- 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 wishe

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-22 Thread kevinyu98
Github user kevinyu98 commented on the issue: https://github.com/apache/spark/pull/16337 I just run build/sbt "test-only org.apache.spark.sql.streaming.StreamSuite" on my local machine, also the whole sql suite, it works fine. Can you re-run the test? Thanks --- If your project is s

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-22 Thread AmplabJenkins
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[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

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2016-12-22 Thread SparkQA
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[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-22 Thread kevinyu98
Github user kevinyu98 commented on the issue: https://github.com/apache/spark/pull/16337 Hello Nat, thanks for the result checking and detail explanation. Based on your assessment, I have comment out 4 test cases for now, pending on the investigation of those open JIRAs. --- If yo

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-22 Thread SparkQA
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[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-21 Thread nsyca
Github user nsyca commented on the issue: https://github.com/apache/spark/pull/16337 [Modified test file of simple-in.sql used to run on DB2](https://github.com/apache/spark/files/667053/simple-in.sql.db2.txt) [Output of the run result on DB2](https://github.com/apache/spark/files

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-21 Thread nsyca
Github user nsyca commented on the issue: https://github.com/apache/spark/pull/16337 Second installment: subquery/in-subquery/simple-in.sql **Recommended action:** Comment out TC 01.08 and 01.10 **The result checking** - All except 2 test cases produce differen

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-21 Thread nsyca
Github user nsyca commented on the issue: https://github.com/apache/spark/pull/16337 [Modified test file used to run on DB2](https://github.com/apache/spark/files/666917/in-group-by.sql.db2.txt) [Output of the run result on DB2](https://github.com/apache/spark/files/666921/in-grou

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-21 Thread nsyca
Github user nsyca commented on the issue: https://github.com/apache/spark/pull/16337 I will give an update on the result checking against a second database in two installments. The first one is for the file in-group-by.sql. **Recommended action:** Comment out TC 0

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

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2016-12-21 Thread SparkQA
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[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-21 Thread SparkQA
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[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-21 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/16337 retest this please --- 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

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-21 Thread kevinyu98
Github user kevinyu98 commented on the issue: https://github.com/apache/spark/pull/16337 when I click the link, it shows Test Result (no failures), not sure why the Test Failed. --- If your project is set up for it, you can reply to this email and have your reply appear on Gi

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[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-20 Thread kevinyu98
Github user kevinyu98 commented on the issue: https://github.com/apache/spark/pull/16337 Nat will run against DB2 and provide result. --- 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 fea

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-20 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/16337 What are the refernce query results we can compare? For example, from DB2 or Hive? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well.

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-20 Thread kevinyu98
Github user kevinyu98 commented on the issue: https://github.com/apache/spark/pull/16337 Hello All: I have divided the test case to small groups based the discussion, and this pr will be the first pr for the IN subquery, it covers the simple and group-by cases. This the

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-20 Thread SparkQA
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[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-20 Thread rxin
Github user rxin commented on the issue: https://github.com/apache/spark/pull/16337 yea those sound great. --- 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,

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-20 Thread nsyca
Github user nsyca commented on the issue: https://github.com/apache/spark/pull/16337 We can live with the uniqueness at this point. I'd like to get your feedback (positive, I hope) on the structure of the directories and the naming convention of the test files so we can move forward w

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-20 Thread rxin
Github user rxin commented on the issue: https://github.com/apache/spark/pull/16337 If the uniqueness is a problem, we can also just update SQLQueryTestSuite to use the path rather than just file name. --- If your project is set up for it, you can reply to this email and have your r

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2016-12-20 Thread nsyca
Github user nsyca commented on the issue: https://github.com/apache/spark/pull/16337 I have tested a few runs on `SQLQueryTestSuite` to confirm it allows to have sub-directories under `sql/core/src/test/resources/sql-tests/[inputs|results]` to group test files further. By reading th

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-19 Thread rxin
Github user rxin commented on the issue: https://github.com/apache/spark/pull/16337 I actually don't mind having 01, 02, 03, etc, but still some higher level grouping would be useful. --- If your project is set up for it, you can reply to this email and have your reply appear on Git

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2016-12-19 Thread nsyca
Github user nsyca commented on the issue: https://github.com/apache/spark/pull/16337 Let me try to summarize the comments around the structure of the test files here: 1. A single file of 200+ test cases are too big. We prefer smaller files with logical groupings. 2. File name

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-19 Thread kevinyu98
Github user kevinyu98 commented on the issue: https://github.com/apache/spark/pull/16337 We will separate this file to multiple files. --- 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 f

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2016-12-19 Thread rxin
Github user rxin commented on the issue: https://github.com/apache/spark/pull/16337 Can we create some higher level logical grouping and put these queries into multiple files? It's not as useful to dump 200 queries in one file. --- If your project is set up for it, you can reply to

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-19 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/16337 Could we split the test suites based on the subquery types? - [With aliases](https://technet.microsoft.com/en-us/library/ms190410(v=sql.105).aspx). - With IN or NOT IN - [Sub

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-19 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/16337 In Spark, we can use the following way to send the whole query to the underlying data source. ```SQL CREATE TEMPORARY TABLE jdbcTable USING jdbc OPTIONS ( url "jdbc:postgre

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2016-12-19 Thread SparkQA
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2016-12-19 Thread nsyca
Github user nsyca commented on the issue: https://github.com/apache/spark/pull/16337 @hvanhovell Does Spark JDBC connector act purely as a JDBC driver which supposes to send an entire SQL statement to run on the destination system? If there are part of the SQL statement processed in S

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-19 Thread hvanhovell
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/16337 On 1 & 2 - it might be nice if we can use the spark JDBC connector to run the tests directly on a different system. That would make comparisons trivial. On 3 - what is the current run-ti

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2016-12-19 Thread SparkQA
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2016-12-19 Thread nsyca
Github user nsyca commented on the issue: https://github.com/apache/spark/pull/16337 - On 1&2: We will show the output from a comparison of the result sets with a second DB. - On 3: We wrote them. It's labour intensive. However, we plan to work on a better method of adding test co

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-19 Thread hvanhovell
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/16337 @nsyca @kevinyu98 ### 1. Correctness > how about running the same set of test cases against a second SQL system and comparing the results? Yeah, that works. I am just trying to make su

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-19 Thread nsyca
Github user nsyca commented on the issue: https://github.com/apache/spark/pull/16337 @hvanhovell: On the correctness, how about running the same set of test cases against a second SQL system and comparing the results? If the two systems yield the same result, we can assume Spark has t

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-19 Thread hvanhovell
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/16337 @kevinyu98 this looks like pretty solid work. A couple of questions: - This is a **huge** PR. This will be hard to review. Is there a change that we can split this up in more digestible

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2016-12-19 Thread SparkQA
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2016-12-19 Thread SparkQA
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2016-12-19 Thread hvanhovell
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/16337 ok to test --- 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

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2016-12-18 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/16337 cc @hvanhovell @nsyca --- 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 wishe

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-18 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/16337 ok to test --- 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

[GitHub] spark issue #16337: [SPARK-18871][SQL] New test cases for IN/NOT IN subquery

2016-12-18 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue: https://github.com/apache/spark/pull/16337 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 project does not have this feat