[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-02-15 Thread zero323
Github user zero323 commented on the issue: https://github.com/apache/spark/pull/16533 Thanks @holdenk --- 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

[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-02-15 Thread holdenk
Github user holdenk commented on the issue: https://github.com/apache/spark/pull/16533 Thanks for working on this @zero323, merged 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

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2017-02-14 Thread AmplabJenkins
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2017-02-14 Thread SparkQA
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[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-02-14 Thread zero323
Github user zero323 commented on the issue: https://github.com/apache/spark/pull/16533 @holdenk done. --- 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

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2017-02-14 Thread SparkQA
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[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-02-14 Thread AmplabJenkins
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2017-02-14 Thread AmplabJenkins
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2017-02-14 Thread holdenk
Github user holdenk commented on the issue: https://github.com/apache/spark/pull/16533 Great :) So the sql python tests have changed a bit which means this needs another update (sorry @zero323 ) give me a ping when its updated and I'll try and come back to this quickly :) --- If

[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-02-14 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/16533 Thanks for cc'ing me. I like this pythonic way. +1 and looks okay to me too despite of the trick in argument checking. --- If your project is set up for it, you can reply to this email and

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2017-02-13 Thread SparkQA
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2017-02-13 Thread SparkQA
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[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

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2017-02-13 Thread SparkQA
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[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

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2017-02-13 Thread SparkQA
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[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-02-13 Thread holdenk
Github user holdenk commented on the issue: https://github.com/apache/spark/pull/16533 Ok this looks pretty reasonable, but I'm going to give it a day incase anyone (e.g. @rdblue or @HyukjinKwon ) have any last comments or suggestions. Thanks so much for working on this

[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

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[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

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[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-02-13 Thread SparkQA
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[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-02-13 Thread SparkQA
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[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

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2017-02-13 Thread SparkQA
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[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-02-13 Thread SparkQA
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2017-02-13 Thread SparkQA
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[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-02-13 Thread holdenk
Github user holdenk commented on the issue: https://github.com/apache/spark/pull/16533 Great, I've merged that PR, can you update the instance checks here as required and add a test using the decorator with a string? --- If your project is set up for it, you can reply to this email

[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-02-13 Thread zero323
Github user zero323 commented on the issue: https://github.com/apache/spark/pull/16533 @holdenk We cannot support it without modifying `UserDefinedFunction` first so I decided to open a separate PR for this: https://github.com/apache/spark/pull/16769 --- If your project is set up

[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-02-13 Thread holdenk
Github user holdenk commented on the issue: https://github.com/apache/spark/pull/16533 So one minor thing, I don't see support for taking the return type as string - was that decided to be dropped? --- If your project is set up for it, you can reply to this email and have your reply

[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-02-13 Thread holdenk
Github user holdenk commented on the issue: https://github.com/apache/spark/pull/16533 Ok back from the summit, let me take a look through - sorry for the slowness with my travel. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub

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[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

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2017-02-03 Thread SparkQA
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[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-02-03 Thread zero323
Github user zero323 commented on the issue: https://github.com/apache/spark/pull/16533 @holdenk If believe this is a good as it gets at this moment. --- 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

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2017-02-01 Thread zero323
Github user zero323 commented on the issue: https://github.com/apache/spark/pull/16533 Handling data type strings proved to be much simpler than I thought (I missed that PySpark already has its own parser): [SPARK-19427](https://issues.apache.org/jira/browse/SPARK-19427) and #16769

[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

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2017-02-01 Thread SparkQA
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2017-01-30 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/16533 I agree with @zero323. I don't think this method should change how users interact with DataTypes. There is a precedent for using type strings instead, as @rxin suggested, and that's a good idea that

[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-01-30 Thread zero323
Github user zero323 commented on the issue: https://github.com/apache/spark/pull/16533 @lins05 I am not convinced. This has fairly limited applications (we cannot use this to define complex types) and could be confusing for users (why we can use it here but not for `Column.cast`,

[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-01-30 Thread zero323
Github user zero323 commented on the issue: https://github.com/apache/spark/pull/16533 @rxin We can do something like this: ```python class UserDefinedFunction(object): """ User defined function in Python .. versionadded:: 1.3

[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-01-30 Thread lins05
Github user lins05 commented on the issue: https://github.com/apache/spark/pull/16533 What about also support using the type name without the parentheses, as a syntax sugar? e.g.: ```python @udf(returnType =IntegerType) # instead of IntegerType() def f(...):

[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-01-30 Thread zero323
Github user zero323 commented on the issue: https://github.com/apache/spark/pull/16533 @rxin Sure. Give me a second. In a meantime would consider reviewing #16742 ([SPARK-19403](https://issues.apache.org/jira/browse/SPARK-19403))? --- If your project is set up for it, you can reply

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2017-01-30 Thread rxin
Github user rxin commented on the issue: https://github.com/apache/spark/pull/16533 Can return type also take a string? --- 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

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2017-01-20 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/16533 +1 Looks good to me. Thanks, @zero323! --- 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

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[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-01-20 Thread zero323
Github user zero323 commented on the issue: https://github.com/apache/spark/pull/16533 @rdblue You're probably right and I am overthinking this. After all the goal here is to make this as user friendly as possible, and while `isinstance` is not pretty it does the trick. If we ever

[GitHub] spark issue #16533: [SPARK-19160][PYTHON][SQL] Add udf decorator

2017-01-20 Thread SparkQA
Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/16533 **[Test build #71721 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/71721/testReport)** for PR 16533 at commit