[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

[tdas]

Github user tdas commented on the issue:

https://github.com/apache/spark/pull/16856
  
My PR to fix them https://github.com/apache/spark/pull/18485


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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

[tdas]

Github user tdas commented on the issue:

https://github.com/apache/spark/pull/16856
  
Don't worry. I am fixing it. I am having a PR soon.

On Jun 29, 2017 8:08 PM, "Wenchen Fan"  wrote:

> ah, sorry for that, let me do a grep and fix them.
>
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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

[cloud-fan]

Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/16856
  
ah, sorry for that, let me do a grep and fix them.


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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

[tdas]

Github user tdas commented on the issue:

https://github.com/apache/spark/pull/16856
  
@cloud-fan @sameeragarwal There are quite a few links in rest of Spark docs 
broken because of the name change from programming-guide -> 
rdd-programming-guide name change.


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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

[cloud-fan]

Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/16856
  
thanks for the review, merging to master!


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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

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 for PR 16856 at commit 
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 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds the following public classes _(experimental)_:
  * `* For other Hadoop InputFormats, you can use the 
`SparkContext.hadoopRDD` method, which takes an arbitrary `JobConf` and input 
format class, key class and value class. Set these the same way you would for a 
Hadoop job with your input source. You can also use 
`SparkContext.newAPIHadoopRDD` for InputFormats based on the \"new\" MapReduce 
API (`org.apache.hadoop.mapreduce`).`
  * `* For other Hadoop InputFormats, you can use the 
`JavaSparkContext.hadoopRDD` method, which takes an arbitrary `JobConf` and 
input format class, key class and value class. Set these the same way you would 
for a Hadoop job with your input source. You can also use 
`JavaSparkContext.newAPIHadoopRDD` for InputFormats based on the \"new\" 
MapReduce API (`org.apache.hadoop.mapreduce`).`
  * `A 
[Converter](api/scala/index.html#org.apache.spark.api.python.Converter) trait 
is provided`
  * `Note that while it is also possible to pass a reference to a method in 
a class instance (as opposed to`
  * `class MyClass `
  * `class MyClass `
  * `class GetLength implements Function `
  * `class Sum implements Function2 `
  * `Note that while it is also possible to pass a reference to a method in 
a class instance (as opposed to`
  * `class MyClass(object):`
  * `class MyClass(object):`
  * `class VectorAccumulatorV2 extends AccumulatorV2[MyVector, MyVector] `
  * `class VectorAccumulatorV2 implements AccumulatorV2 
`
  * `class VectorAccumulatorParam(AccumulatorParam):`


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 for PR 16856 at commit 
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 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds the following public classes _(experimental)_:
  * `* For other Hadoop InputFormats, you can use the 
`SparkContext.hadoopRDD` method, which takes an arbitrary `JobConf` and input 
format class, key class and value class. Set these the same way you would for a 
Hadoop job with your input source. You can also use 
`SparkContext.newAPIHadoopRDD` for InputFormats based on the \"new\" MapReduce 
API (`org.apache.hadoop.mapreduce`).`
  * `* For other Hadoop InputFormats, you can use the 
`JavaSparkContext.hadoopRDD` method, which takes an arbitrary `JobConf` and 
input format class, key class and value class. Set these the same way you would 
for a Hadoop job with your input source. You can also use 
`JavaSparkContext.newAPIHadoopRDD` for InputFormats based on the \"new\" 
MapReduce API (`org.apache.hadoop.mapreduce`).`
  * `A 
[Converter](api/scala/index.html#org.apache.spark.api.python.Converter) trait 
is provided`
  * `Note that while it is also possible to pass a reference to a method in 
a class instance (as opposed to`
  * `class MyClass `
  * `class MyClass `
  * `class GetLength implements Function `
  * `class Sum implements Function2 `
  * `Note that while it is also possible to pass a reference to a method in 
a class instance (as opposed to`
  * `class MyClass(object):`
  * `class MyClass(object):`
  * `class VectorAccumulatorV2 extends AccumulatorV2[MyVector, MyVector] `
  * `class VectorAccumulatorV2 implements AccumulatorV2 
`
  * `class VectorAccumulatorParam(AccumulatorParam):`


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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

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Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16856
  
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 * This patch passes all tests.
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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

[SparkQA]

Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16856
  
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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

[rxin]

Github user rxin commented on the issue:

https://github.com/apache/spark/pull/16856
  
I think the issue is that the programming guide should probably switch over 
to the DataFrame one as the primary one, and then the RDD one as a RDD 
programming guide.

cc @matei for his input.



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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

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https://github.com/apache/spark/pull/16856
  
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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

[AmplabJenkins]

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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

[SparkQA]

Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16856
  
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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

[SparkQA]

Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/16856
  
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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

[cloud-fan]

Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/16856
  
several questions:

1. as `SparkSession` becomes the new entry point, now we require users to 
include spark-sql module in their sbt file or pom.xml, which seems weird if 
users only want to write a very simple spark application without SQL 
functionality. Shall we rename spark-sql to a more general name like 
`spark-structure`?
2. when it comes to java application with RDD, it's inconvenient to build 
`SparkSession` and then create `JavaSparkContext`, users can create 
`JavaSparkContext` directly.

cc @rxin @yhuai


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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

[SparkQA]

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https://github.com/apache/spark/pull/16856
  
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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

[SparkQA]

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https://github.com/apache/spark/pull/16856
  
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[GitHub] spark issue #16856: [SPARK-19516][DOC] update public doc to use SparkSession...

[cloud-fan]

Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/16856
  
cc @sameeragarwal @hvanhovell 


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