[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

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[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

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[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

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[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

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[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

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[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

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[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

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[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

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[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

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[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

2017-01-19 Thread maropu
Github user maropu commented on the issue: https://github.com/apache/spark/pull/16605 okay, I'll update this pr in that way, thanks! --- 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

[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

2017-01-19 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/16605 SGTM --- 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

[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

2017-01-19 Thread maropu
Github user maropu commented on the issue: https://github.com/apache/spark/pull/16605 The workaround @cloud-fan said is good to me though, IMO the most critical issue here is that this cast exception happens not in analysis phases but in runtime. So, at least I think we should modify

[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

2017-01-18 Thread maropu
Github user maropu commented on the issue: https://github.com/apache/spark/pull/16605 okay. But, if this issue finished, I'm planning to take SPARK-12823 in a similar way. Do u think also it's not also worth trying struct? cc: @cloud-fan --- If your project is set up for it,

[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

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[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

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[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

2017-01-18 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/16605 Well, it will be good if we can support `Array` in `ScalaUDF`, but it's not a big deal as users can easily do `udf { (seq: Seq[Int]) => val a = seq.toArray; // do anything you like with the array

[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

2017-01-18 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/16605 Sure, @maropu . `WrappedArray` is not documented for now. Hi, @gatorsmile and @cloud-fan . Could you review this PR? --- If your project is set up for it, you can reply to this

[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

2017-01-18 Thread maropu
Github user maropu commented on the issue: https://github.com/apache/spark/pull/16605 oh, yea. I didn't find that and I think it's a good point. IMO `WrappedArray` is implicitly used inside for implicit conversions, so users do not use `WrappedArray` directly for UDFs in most

[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

2017-01-18 Thread SparkQA
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[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

2017-01-18 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/16605 Hi, @maropu . In the current master with your example, we can do the following. How do you think about this? ```scala scala> import scala.collection.mutable.WrappedArray

[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

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[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

2017-01-17 Thread maropu
Github user maropu commented on the issue: https://github.com/apache/spark/pull/16605 @dongjoon-hyun okay, I applied your comments into this pr. Could you check again to satisfy your intentions? --- If your project is set up for it, you can reply to this email and have your reply

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[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

2017-01-16 Thread maropu
Github user maropu commented on the issue: https://github.com/apache/spark/pull/16605 many thanks! --- 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 #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

2017-01-16 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/16605 Sure, @maropu . I'll do that tomorrow morning (PST). --- 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

[GitHub] spark issue #16605: [SPARK-18884][SQL] Support Array[_] in ScalaUDF

2017-01-16 Thread maropu
Github user maropu commented on the issue: https://github.com/apache/spark/pull/16605 @dongjoon-hyun Could you take time to review this before committers do? Thanks! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If

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2017-01-16 Thread maropu
Github user maropu commented on the issue: https://github.com/apache/spark/pull/16605 I'm looking for another approach not to break backward compatibility... --- 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

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