[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-07-12 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/13704
  
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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-07-11 Thread kiszk
Github user kiszk commented on the issue:

https://github.com/apache/spark/pull/13704
  
@cloud-fan I added test cases. Could you review it again?


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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-07-11 Thread SparkQA
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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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https://github.com/apache/spark/pull/13704
  
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 * This patch adds the following public classes _(experimental)_:
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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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 * This patch passes all tests.
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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-07-10 Thread SparkQA
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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-07-10 Thread SparkQA
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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-07-10 Thread kiszk
Github user kiszk commented on the issue:

https://github.com/apache/spark/pull/13704
  
@cloud-fan could you please review this? As you pointed, I also changed 
code related to `cast`. I added benchmark results, too.


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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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 * This patch passes all tests.
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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-07-10 Thread SparkQA
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 * This patch **fails Spark unit tests**.
 * This patch merges cleanly.
 * This patch adds the following public classes _(experimental)_:
  * `class PrimitiveArrayBenchmark extends BenchmarkBase `


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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-07-10 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/13704
  
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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-07-03 Thread kiszk
Github user kiszk commented on the issue:

https://github.com/apache/spark/pull/13704
  
@cloud-fan , regarding a ```cast```, I think that you are correct. When we 
insert a ```cast```, I pass information on ```ArrayType.containsNull``` to 
```Cast``` now. In this case, it is ```false```. As a result, after the logical 
optimizations, we got a plan tree with ```Cast```. I updated the description of 
PR.

```
== Analyzed Logical Plan ==
value: double
SerializeFromObject [input[0, double, true] AS value#6]
+- MapElements , obj#5: double
   +- DeserializeToObject cast(value#1 as array).toDoubleArray, 
obj#4: [D
  +- LocalRelation [value#1]

== Optimized Logical Plan ==
SerializeFromObject [input[0, double, true] AS value#6]
+- MapElements , obj#5: double
   +- DeserializeToObject value#1.toDoubleArray, obj#4: [D
  +- LocalRelation [value#1]
```


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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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https://github.com/apache/spark/pull/13704
  
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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-07-01 Thread kiszk
Github user kiszk commented on the issue:

https://github.com/apache/spark/pull/13704
  
@cloud-fan, I checked the following
>Let me check which code portion inserts Cast in this tree.

IIUC,  [this 
code](https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala#L2021)
 inserts the corresponding ```Cast``` in ```Analyzed Logical Plan``` to 
```upcast``` in  ```Parsed Logical Plan```.






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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-06-28 Thread kiszk
Github user kiszk commented on the issue:

https://github.com/apache/spark/pull/13704
  
Let me check which code portion inserts ```Cast``` in this tree.

> And we do have a chance to optimize it: if the target array type's 
element type is primitive and the input array type's element nullability is 
false, we can avoid using ```Object[]```.
This PR generated code without using ```Object[]``` by check the above 
condition.


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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-06-28 Thread cloud-fan
Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/13704
  
> the `Cast` performs conversion from `UnsafeArrayData` to 
`GenericArrayData`.

`Cast` is used to cast one type to another, not cast one kind of data 
representation to another, so I don't quite understand why the `Cast` is there.

> This code generation always creates `Object[]` and assign values into 
each `Object[]` element.

This is reasonable, as it needs to take care of null elements. And we do 
have a chance to optimize it: if the target array type's element type is 
primitive and the input array type's element nullability is false, we can avoid 
using `Object[]`.




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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-06-28 Thread kiszk
Github user kiszk commented on the issue:

https://github.com/apache/spark/pull/13704
  
Regarding the plan tree printout (I removed my debug information), the 
```Cast``` performs conversion from ```UnsafeArrayData``` to 
```GenericArrayData``` since the target type of ```Cast``` is 
```ArrayType```. Since ```Cast``` shows  ```dataType. simpleType``` 
of the target type, it is shown as ```array```.

Regarding the generated code, we seems to be on the same page. What you 
said is not done in ```Cast``` now, and what I did. IIUC, current ```Cast``` 
[code generation for 
array](https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala#L828)
 seems to be conservative. Current goal of cast code generation is to create 
```GenericArrayData``` object. This code generation always creates 
```Object[]``` and assign values into each ```Object[]``` element. Then, the 
generated code passes ```Object[]``` to the constructor of 
```GenericArrayData```. As you pointed out, if code generation takes care of 
nullability, it can avoid to create ```Object[]```. Unfortunately, it is not 
done in [the current code]([code generation for 
array](https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala#L828)
 (Lines 828-862).
The code generated by this PR can also use specialized 
```GenericArrayData``` implemented by 
https://github.com/apache/spark/pull/13758.


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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-06-28 Thread cloud-fan
Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/13704
  
From the plan tree given by you, the `Cast` is casting `value#63` to array 
type, not `ObjectType(classOf[Array[Double]])`, there should be some other 
reason that we need to find out(maybe it's because the nullability of array 
element is different).


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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-06-28 Thread kiszk
Github user kiszk commented on the issue:

https://github.com/apache/spark/pull/13704
  
I agree that ```value#63``` is double array type. ```value#63``` is stored 
as ```UnsafeArrayData```.
`` in ```MapElements , obj#67: double``` is 
represented by Java byte code instead of ```Expressions```.  We have to pass an 
Java primitive array ``double[]`` instead of double array in 
```UnsafeArrayData```. I think that ```Cast``` performs this conversion of 
double array from ```UnsafeArrayData``` to ```double[]```. This is an issue 
only for Dataset.

What do you think?



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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-06-28 Thread cloud-fan
Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/13704
  
Sorry I should say it more explicitly: `value#63` is already double array 
type. `UnsafeArrayData` is an internal data representation of array type, so it 
seems weird to have the `Cast` there.


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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-06-27 Thread kiszk
Github user kiszk commented on the issue:

https://github.com/apache/spark/pull/13704
  
@cloud-fan I think ```value#63``` is ```UnsafeArrayData```.
When I ran a DataFrame program, I got the following trees. Since operations 
for DataFrame access data in UnsafeArrayData, I think that ```LocalRelation``` 
and ```LocalTableScan``` keep an array as ```UnsafeArrayData```.

```
val df = Seq(Array(1.0, 2.0, 3.0), Array(4.0, 5.0, 6.0)).toDF()
val df2 = df.selectExpr("value[0] + value[1] + value[2]")
df2.show
df2.explain(true)

== Analyzed Logical Plan ==
((value[0] + value[1]) + value[2]): double
Project [((value#63[0] + value#63[1]) + value#63[2]) AS ((value[0] + 
value[1]) + value[2])#67]
+- LocalRelation [value#63]

== Optimized Logical Plan ==
LocalRelation [((value[0] + value[1]) + value[2])#67]

== Physical Plan ==
LocalTableScan [((value[0] + value[1]) + value[2])#67]
```


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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-06-27 Thread cloud-fan
Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/13704
  
I'm wondering why we have this `Cast` in `DeserializeToObject`. Isn't the 
`value#63` already a double array?


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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-06-27 Thread kiszk
Github user kiszk commented on the issue:

https://github.com/apache/spark/pull/13704
  
@cloud-fan I updated the PR description by adding plan trees.


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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-06-27 Thread cloud-fan
Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/13704
  
can you also put the plan tree of the example program in PR description?


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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-06-16 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/13704
  
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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-06-16 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/13704
  
Merged build finished. Test PASSed.


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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-06-16 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/13704
  
**[Test build #60636 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/60636/consoleFull)**
 for PR 13704 at commit 
[`17f17d6`](https://github.com/apache/spark/commit/17f17d60794c1f0ab81e21ec2484742a7610f06d).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #13704: [SPARK-15985][SQL] Reduce runtime overhead of a program ...

2016-06-16 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/13704
  
**[Test build #60636 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/60636/consoleFull)**
 for PR 13704 at commit 
[`17f17d6`](https://github.com/apache/spark/commit/17f17d60794c1f0ab81e21ec2484742a7610f06d).


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