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Posted to dev@spark.apache.org by Reynold Xin <rx...@databricks.com> on 2016/07/20 02:35:19 UTC

[VOTE] Release Apache Spark 2.0.0 (RC5)

Please vote on releasing the following candidate as Apache Spark version
2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes
if a majority of at least 3 +1 PMC votes are cast.

[ ] +1 Release this package as Apache Spark 2.0.0
[ ] -1 Do not release this package because ...


The tag to be voted on is v2.0.0-rc5
(13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).

This release candidate resolves ~2500 issues:
https://s.apache.org/spark-2.0.0-jira

The release files, including signatures, digests, etc. can be found at:
http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/

Release artifacts are signed with the following key:
https://people.apache.org/keys/committer/pwendell.asc

The staging repository for this release can be found at:
https://repository.apache.org/content/repositories/orgapachespark-1195/

The documentation corresponding to this release can be found at:
http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/


=================================
How can I help test this release?
=================================
If you are a Spark user, you can help us test this release by taking an
existing Spark workload and running on this release candidate, then
reporting any regressions from 1.x.

==========================================
What justifies a -1 vote for this release?
==========================================
Critical bugs impacting major functionalities.

Bugs already present in 1.x, missing features, or bugs related to new
features will not necessarily block this release. Note that historically
Spark documentation has been published on the website separately from the
main release so we do not need to block the release due to documentation
errors either.

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Matei Zaharia <ma...@gmail.com>.
+1

Tested on Mac.

Matei

> On Jul 22, 2016, at 11:18 AM, Joseph Bradley <jo...@databricks.com> wrote:
> 
> +1
> 
> Mainly tested ML/Graph/R.  Perf tests from Tim Hunter showed minor speedups from 1.6 for common ML algorithms.
> 
> On Thu, Jul 21, 2016 at 9:41 AM, Ricardo Almeida <ricardo.almeida@actnowib.com <ma...@actnowib.com>> wrote:
> +1 (non binding)
> 
> Tested PySpark Core, DataFrame/SQL, MLlib and Streaming on a standalone cluster
> 
> On 21 July 2016 at 05:24, Reynold Xin <rxin@databricks.com <ma...@databricks.com>> wrote:
> +1
> 
> 
> On Wednesday, July 20, 2016, Krishna Sankar <ksankar42@gmail.com <ma...@gmail.com>> wrote:
> +1 (non-binding, of course)
> 
> 1. Compiled OS X 10.11.5 (El Capitan) OK Total time: 24:07 min
>      mvn clean package -Pyarn -Phadoop-2.7 -DskipTests
> 2. Tested pyspark, mllib (iPython 4.0)
> 2.0 Spark version is 2.0.0 
> 2.1. statistics (min,max,mean,Pearson,Spearman) OK
> 2.2. Linear/Ridge/Lasso Regression OK 
> 2.3. Classification : Decision Tree, Naive Bayes OK
> 2.4. Clustering : KMeans OK
>        Center And Scale OK
> 2.5. RDD operations OK
>       State of the Union Texts - MapReduce, Filter,sortByKey (word count)
> 2.6. Recommendation (Movielens medium dataset ~1 M ratings) OK
>        Model evaluation/optimization (rank, numIter, lambda) with itertools OK
> 3. Scala - MLlib
> 3.1. statistics (min,max,mean,Pearson,Spearman) OK
> 3.2. LinearRegressionWithSGD OK
> 3.3. Decision Tree OK
> 3.4. KMeans OK
> 3.5. Recommendation (Movielens medium dataset ~1 M ratings) OK
> 3.6. saveAsParquetFile OK
> 3.7. Read and verify the 3.6 save(above) - sqlContext.parquetFile, registerTempTable, sql OK
> 3.8. result = sqlContext.sql("SELECT OrderDetails.OrderID,ShipCountry,UnitPrice,Qty,Discount FROM Orders INNER JOIN OrderDetails ON Orders.OrderID = OrderDetails.OrderID") OK
> 4.0. Spark SQL from Python OK
> 4.1. result = sqlContext.sql("SELECT * from people WHERE State = 'WA'") OK
> 5.0. Packages
> 5.1. com.databricks.spark.csv - read/write OK (--packages com.databricks:spark-csv_2.10:1.4.0)
> 6.0. DataFrames 
> 6.1. cast,dtypes OK
> 6.2. groupBy,avg,crosstab,corr,isNull,na.drop OK
> 6.3. All joins,sql,set operations,udf OK
> [Dataframe Operations very fast from 11 secs to 3 secs, to 1.8 secs, to 1.5 secs! Good work !!!]
> 7.0. GraphX/Scala
> 7.1. Create Graph (small and bigger dataset) OK
> 7.2. Structure APIs - OK
> 7.3. Social Network/Community APIs - OK
> 7.4. Algorithms : PageRank of 2 datasets, aggregateMessages() - OK
> 
> Cheers
> <k/>
> 
> On Tue, Jul 19, 2016 at 7:35 PM, Reynold Xin <rxin@databricks.com <>> wrote:
> Please vote on releasing the following candidate as Apache Spark version 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes if a majority of at least 3 +1 PMC votes are cast.
> 
> [ ] +1 Release this package as Apache Spark 2.0.0
> [ ] -1 Do not release this package because ...
> 
> 
> The tag to be voted on is v2.0.0-rc5 (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
> 
> This release candidate resolves ~2500 issues: https://s.apache.org/spark-2.0.0-jira <https://s.apache.org/spark-2.0.0-jira>
> 
> The release files, including signatures, digests, etc. can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/ <http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/>
> 
> Release artifacts are signed with the following key:
> https://people.apache.org/keys/committer/pwendell.asc <https://people.apache.org/keys/committer/pwendell.asc>
> 
> The staging repository for this release can be found at:
> https://repository.apache.org/content/repositories/orgapachespark-1195/ <https://repository.apache.org/content/repositories/orgapachespark-1195/>
> 
> The documentation corresponding to this release can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/ <http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/>
> 
> 
> =================================
> How can I help test this release?
> =================================
> If you are a Spark user, you can help us test this release by taking an existing Spark workload and running on this release candidate, then reporting any regressions from 1.x.
> 
> ==========================================
> What justifies a -1 vote for this release?
> ==========================================
> Critical bugs impacting major functionalities.
> 
> Bugs already present in 1.x, missing features, or bugs related to new features will not necessarily block this release. Note that historically Spark documentation has been published on the website separately from the main release so we do not need to block the release due to documentation errors either.
> 
> 
> 
>

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Joseph Bradley <jo...@databricks.com>.
+1

Mainly tested ML/Graph/R.  Perf tests from Tim Hunter showed minor speedups
from 1.6 for common ML algorithms.

On Thu, Jul 21, 2016 at 9:41 AM, Ricardo Almeida <
ricardo.almeida@actnowib.com> wrote:

> +1 (non binding)
>
> Tested PySpark Core, DataFrame/SQL, MLlib and Streaming on a standalone
> cluster
>
> On 21 July 2016 at 05:24, Reynold Xin <rx...@databricks.com> wrote:
>
>> +1
>>
>>
>> On Wednesday, July 20, 2016, Krishna Sankar <ks...@gmail.com> wrote:
>>
>>> +1 (non-binding, of course)
>>>
>>> 1. Compiled OS X 10.11.5 (El Capitan) OK Total time: 24:07 min
>>>      mvn clean package -Pyarn -Phadoop-2.7 -DskipTests
>>> 2. Tested pyspark, mllib (iPython 4.0)
>>> 2.0 Spark version is 2.0.0
>>> 2.1. statistics (min,max,mean,Pearson,Spearman) OK
>>> 2.2. Linear/Ridge/Lasso Regression OK
>>> 2.3. Classification : Decision Tree, Naive Bayes OK
>>> 2.4. Clustering : KMeans OK
>>>        Center And Scale OK
>>> 2.5. RDD operations OK
>>>       State of the Union Texts - MapReduce, Filter,sortByKey (word count)
>>> 2.6. Recommendation (Movielens medium dataset ~1 M ratings) OK
>>>        Model evaluation/optimization (rank, numIter, lambda) with
>>> itertools OK
>>> 3. Scala - MLlib
>>> 3.1. statistics (min,max,mean,Pearson,Spearman) OK
>>> 3.2. LinearRegressionWithSGD OK
>>> 3.3. Decision Tree OK
>>> 3.4. KMeans OK
>>> 3.5. Recommendation (Movielens medium dataset ~1 M ratings) OK
>>> 3.6. saveAsParquetFile OK
>>> 3.7. Read and verify the 3.6 save(above) - sqlContext.parquetFile,
>>> registerTempTable, sql OK
>>> 3.8. result = sqlContext.sql("SELECT
>>> OrderDetails.OrderID,ShipCountry,UnitPrice,Qty,Discount FROM Orders INNER
>>> JOIN OrderDetails ON Orders.OrderID = OrderDetails.OrderID") OK
>>> 4.0. Spark SQL from Python OK
>>> 4.1. result = sqlContext.sql("SELECT * from people WHERE State = 'WA'")
>>> OK
>>> 5.0. Packages
>>> 5.1. com.databricks.spark.csv - read/write OK (--packages
>>> com.databricks:spark-csv_2.10:1.4.0)
>>> 6.0. DataFrames
>>> 6.1. cast,dtypes OK
>>> 6.2. groupBy,avg,crosstab,corr,isNull,na.drop OK
>>> 6.3. All joins,sql,set operations,udf OK
>>> [Dataframe Operations very fast from 11 secs to 3 secs, to 1.8 secs, to
>>> 1.5 secs! Good work !!!]
>>> 7.0. GraphX/Scala
>>> 7.1. Create Graph (small and bigger dataset) OK
>>> 7.2. Structure APIs - OK
>>> 7.3. Social Network/Community APIs - OK
>>> 7.4. Algorithms : PageRank of 2 datasets, aggregateMessages() - OK
>>>
>>> Cheers
>>> <k/>
>>>
>>> On Tue, Jul 19, 2016 at 7:35 PM, Reynold Xin <rx...@databricks.com>
>>> wrote:
>>>
>>>> Please vote on releasing the following candidate as Apache Spark
>>>> version 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT
>>>> and passes if a majority of at least 3 +1 PMC votes are cast.
>>>>
>>>> [ ] +1 Release this package as Apache Spark 2.0.0
>>>> [ ] -1 Do not release this package because ...
>>>>
>>>>
>>>> The tag to be voted on is v2.0.0-rc5
>>>> (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>>>>
>>>> This release candidate resolves ~2500 issues:
>>>> https://s.apache.org/spark-2.0.0-jira
>>>>
>>>> The release files, including signatures, digests, etc. can be found at:
>>>> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/
>>>>
>>>> Release artifacts are signed with the following key:
>>>> https://people.apache.org/keys/committer/pwendell.asc
>>>>
>>>> The staging repository for this release can be found at:
>>>> https://repository.apache.org/content/repositories/orgapachespark-1195/
>>>>
>>>> The documentation corresponding to this release can be found at:
>>>> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/
>>>>
>>>>
>>>> =================================
>>>> How can I help test this release?
>>>> =================================
>>>> If you are a Spark user, you can help us test this release by taking an
>>>> existing Spark workload and running on this release candidate, then
>>>> reporting any regressions from 1.x.
>>>>
>>>> ==========================================
>>>> What justifies a -1 vote for this release?
>>>> ==========================================
>>>> Critical bugs impacting major functionalities.
>>>>
>>>> Bugs already present in 1.x, missing features, or bugs related to new
>>>> features will not necessarily block this release. Note that historically
>>>> Spark documentation has been published on the website separately from the
>>>> main release so we do not need to block the release due to documentation
>>>> errors either.
>>>>
>>>>
>>>
>

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Ricardo Almeida <ri...@actnowib.com>.
+1 (non binding)

Tested PySpark Core, DataFrame/SQL, MLlib and Streaming on a standalone
cluster

On 21 July 2016 at 05:24, Reynold Xin <rx...@databricks.com> wrote:

> +1
>
>
> On Wednesday, July 20, 2016, Krishna Sankar <ks...@gmail.com> wrote:
>
>> +1 (non-binding, of course)
>>
>> 1. Compiled OS X 10.11.5 (El Capitan) OK Total time: 24:07 min
>>      mvn clean package -Pyarn -Phadoop-2.7 -DskipTests
>> 2. Tested pyspark, mllib (iPython 4.0)
>> 2.0 Spark version is 2.0.0
>> 2.1. statistics (min,max,mean,Pearson,Spearman) OK
>> 2.2. Linear/Ridge/Lasso Regression OK
>> 2.3. Classification : Decision Tree, Naive Bayes OK
>> 2.4. Clustering : KMeans OK
>>        Center And Scale OK
>> 2.5. RDD operations OK
>>       State of the Union Texts - MapReduce, Filter,sortByKey (word count)
>> 2.6. Recommendation (Movielens medium dataset ~1 M ratings) OK
>>        Model evaluation/optimization (rank, numIter, lambda) with
>> itertools OK
>> 3. Scala - MLlib
>> 3.1. statistics (min,max,mean,Pearson,Spearman) OK
>> 3.2. LinearRegressionWithSGD OK
>> 3.3. Decision Tree OK
>> 3.4. KMeans OK
>> 3.5. Recommendation (Movielens medium dataset ~1 M ratings) OK
>> 3.6. saveAsParquetFile OK
>> 3.7. Read and verify the 3.6 save(above) - sqlContext.parquetFile,
>> registerTempTable, sql OK
>> 3.8. result = sqlContext.sql("SELECT
>> OrderDetails.OrderID,ShipCountry,UnitPrice,Qty,Discount FROM Orders INNER
>> JOIN OrderDetails ON Orders.OrderID = OrderDetails.OrderID") OK
>> 4.0. Spark SQL from Python OK
>> 4.1. result = sqlContext.sql("SELECT * from people WHERE State = 'WA'") OK
>> 5.0. Packages
>> 5.1. com.databricks.spark.csv - read/write OK (--packages
>> com.databricks:spark-csv_2.10:1.4.0)
>> 6.0. DataFrames
>> 6.1. cast,dtypes OK
>> 6.2. groupBy,avg,crosstab,corr,isNull,na.drop OK
>> 6.3. All joins,sql,set operations,udf OK
>> [Dataframe Operations very fast from 11 secs to 3 secs, to 1.8 secs, to
>> 1.5 secs! Good work !!!]
>> 7.0. GraphX/Scala
>> 7.1. Create Graph (small and bigger dataset) OK
>> 7.2. Structure APIs - OK
>> 7.3. Social Network/Community APIs - OK
>> 7.4. Algorithms : PageRank of 2 datasets, aggregateMessages() - OK
>>
>> Cheers
>> <k/>
>>
>> On Tue, Jul 19, 2016 at 7:35 PM, Reynold Xin <rx...@databricks.com> wrote:
>>
>>> Please vote on releasing the following candidate as Apache Spark version
>>> 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes
>>> if a majority of at least 3 +1 PMC votes are cast.
>>>
>>> [ ] +1 Release this package as Apache Spark 2.0.0
>>> [ ] -1 Do not release this package because ...
>>>
>>>
>>> The tag to be voted on is v2.0.0-rc5
>>> (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>>>
>>> This release candidate resolves ~2500 issues:
>>> https://s.apache.org/spark-2.0.0-jira
>>>
>>> The release files, including signatures, digests, etc. can be found at:
>>> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/
>>>
>>> Release artifacts are signed with the following key:
>>> https://people.apache.org/keys/committer/pwendell.asc
>>>
>>> The staging repository for this release can be found at:
>>> https://repository.apache.org/content/repositories/orgapachespark-1195/
>>>
>>> The documentation corresponding to this release can be found at:
>>> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/
>>>
>>>
>>> =================================
>>> How can I help test this release?
>>> =================================
>>> If you are a Spark user, you can help us test this release by taking an
>>> existing Spark workload and running on this release candidate, then
>>> reporting any regressions from 1.x.
>>>
>>> ==========================================
>>> What justifies a -1 vote for this release?
>>> ==========================================
>>> Critical bugs impacting major functionalities.
>>>
>>> Bugs already present in 1.x, missing features, or bugs related to new
>>> features will not necessarily block this release. Note that historically
>>> Spark documentation has been published on the website separately from the
>>> main release so we do not need to block the release due to documentation
>>> errors either.
>>>
>>>
>>

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Reynold Xin <rx...@databricks.com>.
+1

On Wednesday, July 20, 2016, Krishna Sankar <ks...@gmail.com> wrote:

> +1 (non-binding, of course)
>
> 1. Compiled OS X 10.11.5 (El Capitan) OK Total time: 24:07 min
>      mvn clean package -Pyarn -Phadoop-2.7 -DskipTests
> 2. Tested pyspark, mllib (iPython 4.0)
> 2.0 Spark version is 2.0.0
> 2.1. statistics (min,max,mean,Pearson,Spearman) OK
> 2.2. Linear/Ridge/Lasso Regression OK
> 2.3. Classification : Decision Tree, Naive Bayes OK
> 2.4. Clustering : KMeans OK
>        Center And Scale OK
> 2.5. RDD operations OK
>       State of the Union Texts - MapReduce, Filter,sortByKey (word count)
> 2.6. Recommendation (Movielens medium dataset ~1 M ratings) OK
>        Model evaluation/optimization (rank, numIter, lambda) with
> itertools OK
> 3. Scala - MLlib
> 3.1. statistics (min,max,mean,Pearson,Spearman) OK
> 3.2. LinearRegressionWithSGD OK
> 3.3. Decision Tree OK
> 3.4. KMeans OK
> 3.5. Recommendation (Movielens medium dataset ~1 M ratings) OK
> 3.6. saveAsParquetFile OK
> 3.7. Read and verify the 3.6 save(above) - sqlContext.parquetFile,
> registerTempTable, sql OK
> 3.8. result = sqlContext.sql("SELECT
> OrderDetails.OrderID,ShipCountry,UnitPrice,Qty,Discount FROM Orders INNER
> JOIN OrderDetails ON Orders.OrderID = OrderDetails.OrderID") OK
> 4.0. Spark SQL from Python OK
> 4.1. result = sqlContext.sql("SELECT * from people WHERE State = 'WA'") OK
> 5.0. Packages
> 5.1. com.databricks.spark.csv - read/write OK (--packages
> com.databricks:spark-csv_2.10:1.4.0)
> 6.0. DataFrames
> 6.1. cast,dtypes OK
> 6.2. groupBy,avg,crosstab,corr,isNull,na.drop OK
> 6.3. All joins,sql,set operations,udf OK
> [Dataframe Operations very fast from 11 secs to 3 secs, to 1.8 secs, to
> 1.5 secs! Good work !!!]
> 7.0. GraphX/Scala
> 7.1. Create Graph (small and bigger dataset) OK
> 7.2. Structure APIs - OK
> 7.3. Social Network/Community APIs - OK
> 7.4. Algorithms : PageRank of 2 datasets, aggregateMessages() - OK
>
> Cheers
> <k/>
>
> On Tue, Jul 19, 2016 at 7:35 PM, Reynold Xin <rxin@databricks.com
> <javascript:_e(%7B%7D,'cvml','rxin@databricks.com');>> wrote:
>
>> Please vote on releasing the following candidate as Apache Spark version
>> 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes
>> if a majority of at least 3 +1 PMC votes are cast.
>>
>> [ ] +1 Release this package as Apache Spark 2.0.0
>> [ ] -1 Do not release this package because ...
>>
>>
>> The tag to be voted on is v2.0.0-rc5
>> (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>>
>> This release candidate resolves ~2500 issues:
>> https://s.apache.org/spark-2.0.0-jira
>>
>> The release files, including signatures, digests, etc. can be found at:
>> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/
>>
>> Release artifacts are signed with the following key:
>> https://people.apache.org/keys/committer/pwendell.asc
>>
>> The staging repository for this release can be found at:
>> https://repository.apache.org/content/repositories/orgapachespark-1195/
>>
>> The documentation corresponding to this release can be found at:
>> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/
>>
>>
>> =================================
>> How can I help test this release?
>> =================================
>> If you are a Spark user, you can help us test this release by taking an
>> existing Spark workload and running on this release candidate, then
>> reporting any regressions from 1.x.
>>
>> ==========================================
>> What justifies a -1 vote for this release?
>> ==========================================
>> Critical bugs impacting major functionalities.
>>
>> Bugs already present in 1.x, missing features, or bugs related to new
>> features will not necessarily block this release. Note that historically
>> Spark documentation has been published on the website separately from the
>> main release so we do not need to block the release due to documentation
>> errors either.
>>
>>
>

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Krishna Sankar <ks...@gmail.com>.
+1 (non-binding, of course)

1. Compiled OS X 10.11.5 (El Capitan) OK Total time: 24:07 min
     mvn clean package -Pyarn -Phadoop-2.7 -DskipTests
2. Tested pyspark, mllib (iPython 4.0)
2.0 Spark version is 2.0.0
2.1. statistics (min,max,mean,Pearson,Spearman) OK
2.2. Linear/Ridge/Lasso Regression OK
2.3. Classification : Decision Tree, Naive Bayes OK
2.4. Clustering : KMeans OK
       Center And Scale OK
2.5. RDD operations OK
      State of the Union Texts - MapReduce, Filter,sortByKey (word count)
2.6. Recommendation (Movielens medium dataset ~1 M ratings) OK
       Model evaluation/optimization (rank, numIter, lambda) with itertools
OK
3. Scala - MLlib
3.1. statistics (min,max,mean,Pearson,Spearman) OK
3.2. LinearRegressionWithSGD OK
3.3. Decision Tree OK
3.4. KMeans OK
3.5. Recommendation (Movielens medium dataset ~1 M ratings) OK
3.6. saveAsParquetFile OK
3.7. Read and verify the 3.6 save(above) - sqlContext.parquetFile,
registerTempTable, sql OK
3.8. result = sqlContext.sql("SELECT
OrderDetails.OrderID,ShipCountry,UnitPrice,Qty,Discount FROM Orders INNER
JOIN OrderDetails ON Orders.OrderID = OrderDetails.OrderID") OK
4.0. Spark SQL from Python OK
4.1. result = sqlContext.sql("SELECT * from people WHERE State = 'WA'") OK
5.0. Packages
5.1. com.databricks.spark.csv - read/write OK (--packages
com.databricks:spark-csv_2.10:1.4.0)
6.0. DataFrames
6.1. cast,dtypes OK
6.2. groupBy,avg,crosstab,corr,isNull,na.drop OK
6.3. All joins,sql,set operations,udf OK
[Dataframe Operations very fast from 11 secs to 3 secs, to 1.8 secs, to 1.5
secs! Good work !!!]
7.0. GraphX/Scala
7.1. Create Graph (small and bigger dataset) OK
7.2. Structure APIs - OK
7.3. Social Network/Community APIs - OK
7.4. Algorithms : PageRank of 2 datasets, aggregateMessages() - OK

Cheers
<k/>

On Tue, Jul 19, 2016 at 7:35 PM, Reynold Xin <rx...@databricks.com> wrote:

> Please vote on releasing the following candidate as Apache Spark version
> 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes
> if a majority of at least 3 +1 PMC votes are cast.
>
> [ ] +1 Release this package as Apache Spark 2.0.0
> [ ] -1 Do not release this package because ...
>
>
> The tag to be voted on is v2.0.0-rc5
> (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>
> This release candidate resolves ~2500 issues:
> https://s.apache.org/spark-2.0.0-jira
>
> The release files, including signatures, digests, etc. can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/
>
> Release artifacts are signed with the following key:
> https://people.apache.org/keys/committer/pwendell.asc
>
> The staging repository for this release can be found at:
> https://repository.apache.org/content/repositories/orgapachespark-1195/
>
> The documentation corresponding to this release can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/
>
>
> =================================
> How can I help test this release?
> =================================
> If you are a Spark user, you can help us test this release by taking an
> existing Spark workload and running on this release candidate, then
> reporting any regressions from 1.x.
>
> ==========================================
> What justifies a -1 vote for this release?
> ==========================================
> Critical bugs impacting major functionalities.
>
> Bugs already present in 1.x, missing features, or bugs related to new
> features will not necessarily block this release. Note that historically
> Spark documentation has been published on the website separately from the
> main release so we do not need to block the release due to documentation
> errors either.
>
>

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Stephen Hellberg <he...@uk.ibm.com>.
Yeah, I thought the vote was closed... but I couldn't think of a better
thread to remark upon!
That's a useful comment on Derby's role - thanks.  Certainly, we'd just
attempted a build-and-test execution with revising the Derby level to the
current 10.12.1.1, and hadn't observed any issues... a PR will be
forthcoming.



--
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Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Sean Owen <so...@cloudera.com>.
The release vote has already closed and passed. Derby is only used in
tests AFAIK, so I don't think this is even critical let alone a
blocker. Updating is fine though, open a PR.

On Tue, Jul 26, 2016 at 3:37 PM, Stephen Hellberg <he...@uk.ibm.com> wrote:
>  -1   Sorry, I've just noted that the RC5 proposal includes shipping Derby @
> 10.11.1.1 which is vulnerable to CVE: 2015-1832.
> It would be ideal if we could instead ship 10.12.1.1 real soon.
>
>
>
> --
> View this message in context: http://apache-spark-developers-list.1001551.n3.nabble.com/VOTE-Release-Apache-Spark-2-0-0-RC5-tp18367p18465.html
> Sent from the Apache Spark Developers List mailing list archive at Nabble.com.
>
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Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Stephen Hellberg <he...@uk.ibm.com>.
 -1   Sorry, I've just noted that the RC5 proposal includes shipping Derby @
10.11.1.1 which is vulnerable to CVE: 2015-1832.
It would be ideal if we could instead ship 10.12.1.1 real soon.



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Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Luciano Resende <lu...@gmail.com>.
When are we planning to push the release maven artifacts ? We are waiting
for this in order to push an official Apache Bahir release supporting Spark
2.0.

On Sat, Jul 23, 2016 at 7:05 AM, Reynold Xin <rx...@databricks.com> wrote:

> The vote has passed with the following +1 votes and no -1 votes. I will
> work on packaging the new release next week.
>
>
> +1
>
> Reynold Xin*
> Sean Owen*
> Shivaram Venkataraman*
> Jonathan Kelly
> Joseph E. Gonzalez*
> Krishna Sankar
> Dongjoon Hyun
> Ricardo Almeida
> Joseph Bradley*
> Matei Zaharia*
> Luciano Resende
> Holden Karau
> Michael Armbrust*
> Felix Cheung
> Suresh Thalamati
> Kousuke Saruta
> Xiao Li
>
>
> * binding votes
>
>
> On July 19, 2016 at 7:35:19 PM, Reynold Xin (rxin@databricks.com) wrote:
>
> Please vote on releasing the following candidate as Apache Spark version
> 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes
> if a majority of at least 3 +1 PMC votes are cast.
>
> [ ] +1 Release this package as Apache Spark 2.0.0
> [ ] -1 Do not release this package because ...
>
>
> The tag to be voted on is v2.0.0-rc5
> (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>
> This release candidate resolves ~2500 issues:
> https://s.apache.org/spark-2.0.0-jira
>
> The release files, including signatures, digests, etc. can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/
>
> Release artifacts are signed with the following key:
> https://people.apache.org/keys/committer/pwendell.asc
>
> The staging repository for this release can be found at:
> https://repository.apache.org/content/repositories/orgapachespark-1195/
>
> The documentation corresponding to this release can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/
>
>
> =================================
> How can I help test this release?
> =================================
> If you are a Spark user, you can help us test this release by taking an
> existing Spark workload and running on this release candidate, then
> reporting any regressions from 1.x.
>
> ==========================================
> What justifies a -1 vote for this release?
> ==========================================
> Critical bugs impacting major functionalities.
>
> Bugs already present in 1.x, missing features, or bugs related to new
> features will not necessarily block this release. Note that historically
> Spark documentation has been published on the website separately from the
> main release so we do not need to block the release due to documentation
> errors either.
>
>


-- 
Luciano Resende
http://twitter.com/lresende1975
http://lresende.blogspot.com/

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Reynold Xin <rx...@databricks.com>.
The vote has passed with the following +1 votes and no -1 votes. I will
work on packaging the new release next week.


+1

Reynold Xin*
Sean Owen*
Shivaram Venkataraman*
Jonathan Kelly
Joseph E. Gonzalez*
Krishna Sankar
Dongjoon Hyun
Ricardo Almeida
Joseph Bradley*
Matei Zaharia*
Luciano Resende
Holden Karau
Michael Armbrust*
Felix Cheung
Suresh Thalamati
Kousuke Saruta
Xiao Li


* binding votes


On July 19, 2016 at 7:35:19 PM, Reynold Xin (rxin@databricks.com) wrote:

Please vote on releasing the following candidate as Apache Spark version
2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes
if a majority of at least 3 +1 PMC votes are cast.

[ ] +1 Release this package as Apache Spark 2.0.0
[ ] -1 Do not release this package because ...


The tag to be voted on is v2.0.0-rc5
(13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).

This release candidate resolves ~2500 issues:
https://s.apache.org/spark-2.0.0-jira

The release files, including signatures, digests, etc. can be found at:
http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/

Release artifacts are signed with the following key:
https://people.apache.org/keys/committer/pwendell.asc

The staging repository for this release can be found at:
https://repository.apache.org/content/repositories/orgapachespark-1195/

The documentation corresponding to this release can be found at:
http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/


=================================
How can I help test this release?
=================================
If you are a Spark user, you can help us test this release by taking an
existing Spark workload and running on this release candidate, then
reporting any regressions from 1.x.

==========================================
What justifies a -1 vote for this release?
==========================================
Critical bugs impacting major functionalities.

Bugs already present in 1.x, missing features, or bugs related to new
features will not necessarily block this release. Note that historically
Spark documentation has been published on the website separately from the
main release so we do not need to block the release due to documentation
errors either.

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Dongjoon Hyun <do...@apache.org>.
+1 (non-binding)

- MD5/SHA/GPG matched.
- Test passed on Ubuntu (16.04) +  Oracle JDK (1.7.0_80) + R(3.2.3)
  * build/mvn -Phive -Phadoop-2.7 -Pyarn clean package
  * python python/run-tests.py
  * R/install-dev.sh & R/run-tests.sh

Cheers!

Dongjoon.


On Tue, Jul 19, 2016 at 7:35 PM, Reynold Xin <rx...@databricks.com> wrote:

> Please vote on releasing the following candidate as Apache Spark version
> 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes
> if a majority of at least 3 +1 PMC votes are cast.
>
> [ ] +1 Release this package as Apache Spark 2.0.0
> [ ] -1 Do not release this package because ...
>
>
> The tag to be voted on is v2.0.0-rc5
> (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>
> This release candidate resolves ~2500 issues:
> https://s.apache.org/spark-2.0.0-jira
>
> The release files, including signatures, digests, etc. can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/
>
> Release artifacts are signed with the following key:
> https://people.apache.org/keys/committer/pwendell.asc
>
> The staging repository for this release can be found at:
> https://repository.apache.org/content/repositories/orgapachespark-1195/
>
> The documentation corresponding to this release can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/
>
>
> =================================
> How can I help test this release?
> =================================
> If you are a Spark user, you can help us test this release by taking an
> existing Spark workload and running on this release candidate, then
> reporting any regressions from 1.x.
>
> ==========================================
> What justifies a -1 vote for this release?
> ==========================================
> Critical bugs impacting major functionalities.
>
> Bugs already present in 1.x, missing features, or bugs related to new
> features will not necessarily block this release. Note that historically
> Spark documentation has been published on the website separately from the
> main release so we do not need to block the release due to documentation
> errors either.
>
>

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Sean Owen <so...@cloudera.com>.
+1 at last. Sigs and hashes check out, and compiles and passes tests
with "-Pyarn -Phadoop-2.7 -Phive" on Ubuntu 16 + Java 8.


There are actually only 2 issues still targeted for 2.0.0, which is great:
SPARK-16633 lag/lead does not return the default value when the offset
row does not exist
SPARK-16648 LAST_VALUE(FALSE) OVER () throws IndexOutOfBoundsException

These are not marked blocker, though one is critical. I will assume
these don't block.


The only other JIRA that seems to be "for 2.0" and not resolved is...
https://issues.apache.org/jira/browse/SPARK-16486
... which I suspect is actually just something to be renamed and pushed out.


I did encounter two test failures that weren't reproducible, just FYI:

ExecutorAllocationManagerSuite:
- basic functionality *** FAILED ***
  The code passed to eventually never returned normally. Attempted 613
times over 10.015362111999998 seconds. Last failure message:
  Wanted but not invoked:
  executorAllocationClient.killExecutor("2");
  -> at org.apache.spark.streaming.scheduler.ExecutorAllocationManagerSuite$$anonfun$2$$anonfun$7.org$apache$spark$streaming$scheduler$ExecutorAllocationManagerSuite$$anonfun$$anonfun$$verifyKilledExec$1(ExecutorAllocationManagerSuite.scala:80)
  Actually, there were zero interactions with this mock.
  . (ExecutorAllocationManagerSuite.scala:61)

StateStoreSuite:
- maintenance *** FAILED ***
  The code passed to eventually never returned normally. Attempted 611
times over 10.007739936 seconds. Last failure message:
StateStoreSuite.this.fileExists(provider, 1L, false) was true earliest
file not deleted. (StateStoreSuite.scala:395)

On Wed, Jul 20, 2016 at 3:35 AM, Reynold Xin <rx...@databricks.com> wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes
> if a majority of at least 3 +1 PMC votes are cast.
>
> [ ] +1 Release this package as Apache Spark 2.0.0
> [ ] -1 Do not release this package because ...
>
>
> The tag to be voted on is v2.0.0-rc5
> (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>
> This release candidate resolves ~2500 issues:
> https://s.apache.org/spark-2.0.0-jira
>
> The release files, including signatures, digests, etc. can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/
>
> Release artifacts are signed with the following key:
> https://people.apache.org/keys/committer/pwendell.asc
>
> The staging repository for this release can be found at:
> https://repository.apache.org/content/repositories/orgapachespark-1195/
>
> The documentation corresponding to this release can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/
>
>
> =================================
> How can I help test this release?
> =================================
> If you are a Spark user, you can help us test this release by taking an
> existing Spark workload and running on this release candidate, then
> reporting any regressions from 1.x.
>
> ==========================================
> What justifies a -1 vote for this release?
> ==========================================
> Critical bugs impacting major functionalities.
>
> Bugs already present in 1.x, missing features, or bugs related to new
> features will not necessarily block this release. Note that historically
> Spark documentation has been published on the website separately from the
> main release so we do not need to block the release due to documentation
> errors either.
>

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Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Felix Cheung <fe...@hotmail.com>.
+1

Tested on Ubuntu, ran a bunch of SparkR tests, found a broken link in doc but not a blocker.


_____________________________
From: Michael Armbrust <mi...@databricks.com>>
Sent: Friday, July 22, 2016 3:18 PM
Subject: Re: [VOTE] Release Apache Spark 2.0.0 (RC5)
To: <de...@spark.apache.org>>
Cc: Reynold Xin <rx...@databricks.com>>


+1

On Fri, Jul 22, 2016 at 2:42 PM, Holden Karau <ho...@pigscanfly.ca>> wrote:
+1 (non-binding)

Built locally on Ubuntu 14.04, basic pyspark sanity checking & tested with a simple structured streaming project (spark-structured-streaming-ml) & spark-testing-base & high-performance-spark-examples (minor changes required from preview version but seem intentional & jetty conflicts with out of date testing library - but not a Spark problem).

On Fri, Jul 22, 2016 at 12:45 PM, Luciano Resende <lu...@gmail.com>> wrote:
+ 1 (non-binding)

Found a minor issue when trying to run some of the docker tests, but nothing blocking the release. Will create a JIRA for that.

On Tue, Jul 19, 2016 at 7:35 PM, Reynold Xin <rx...@databricks.com>> wrote:
Please vote on releasing the following candidate as Apache Spark version 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes if a majority of at least 3 +1 PMC votes are cast.

[ ] +1 Release this package as Apache Spark 2.0.0
[ ] -1 Do not release this package because ...


The tag to be voted on is v2.0.0-rc5 (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).

This release candidate resolves ~2500 issues: https://s.apache.org/spark-2.0.0-jira

The release files, including signatures, digests, etc. can be found at:
http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/

Release artifacts are signed with the following key:
https://people.apache.org/keys/committer/pwendell.asc

The staging repository for this release can be found at:
https://repository.apache.org/content/repositories/orgapachespark-1195/

The documentation corresponding to this release can be found at:
http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/


=================================
How can I help test this release?
=================================
If you are a Spark user, you can help us test this release by taking an existing Spark workload and running on this release candidate, then reporting any regressions from 1.x.

==========================================
What justifies a -1 vote for this release?
==========================================
Critical bugs impacting major functionalities.

Bugs already present in 1.x, missing features, or bugs related to new features will not necessarily block this release. Note that historically Spark documentation has been published on the website separately from the main release so we do not need to block the release due to documentation errors either.




--
Luciano Resende
http://twitter.com/lresende1975
http://lresende.blogspot.com/



--
Cell : 425-233-8271
Twitter: https://twitter.com/holdenkarau

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Michael Armbrust <mi...@databricks.com>.
+1

On Fri, Jul 22, 2016 at 2:42 PM, Holden Karau <ho...@pigscanfly.ca> wrote:

> +1 (non-binding)
>
> Built locally on Ubuntu 14.04, basic pyspark sanity checking & tested with
> a simple structured streaming project (spark-structured-streaming-ml) &
> spark-testing-base & high-performance-spark-examples (minor changes
> required from preview version but seem intentional & jetty conflicts with
> out of date testing library - but not a Spark problem).
>
> On Fri, Jul 22, 2016 at 12:45 PM, Luciano Resende <lu...@gmail.com>
> wrote:
>
>> + 1 (non-binding)
>>
>> Found a minor issue when trying to run some of the docker tests, but
>> nothing blocking the release. Will create a JIRA for that.
>>
>> On Tue, Jul 19, 2016 at 7:35 PM, Reynold Xin <rx...@databricks.com> wrote:
>>
>>> Please vote on releasing the following candidate as Apache Spark version
>>> 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes
>>> if a majority of at least 3 +1 PMC votes are cast.
>>>
>>> [ ] +1 Release this package as Apache Spark 2.0.0
>>> [ ] -1 Do not release this package because ...
>>>
>>>
>>> The tag to be voted on is v2.0.0-rc5
>>> (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>>>
>>> This release candidate resolves ~2500 issues:
>>> https://s.apache.org/spark-2.0.0-jira
>>>
>>> The release files, including signatures, digests, etc. can be found at:
>>> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/
>>>
>>> Release artifacts are signed with the following key:
>>> https://people.apache.org/keys/committer/pwendell.asc
>>>
>>> The staging repository for this release can be found at:
>>> https://repository.apache.org/content/repositories/orgapachespark-1195/
>>>
>>> The documentation corresponding to this release can be found at:
>>> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/
>>>
>>>
>>> =================================
>>> How can I help test this release?
>>> =================================
>>> If you are a Spark user, you can help us test this release by taking an
>>> existing Spark workload and running on this release candidate, then
>>> reporting any regressions from 1.x.
>>>
>>> ==========================================
>>> What justifies a -1 vote for this release?
>>> ==========================================
>>> Critical bugs impacting major functionalities.
>>>
>>> Bugs already present in 1.x, missing features, or bugs related to new
>>> features will not necessarily block this release. Note that historically
>>> Spark documentation has been published on the website separately from the
>>> main release so we do not need to block the release due to documentation
>>> errors either.
>>>
>>>
>>
>>
>> --
>> Luciano Resende
>> http://twitter.com/lresende1975
>> http://lresende.blogspot.com/
>>
>
>
>
> --
> Cell : 425-233-8271
> Twitter: https://twitter.com/holdenkarau
>

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Holden Karau <ho...@pigscanfly.ca>.
+1 (non-binding)

Built locally on Ubuntu 14.04, basic pyspark sanity checking & tested with
a simple structured streaming project (spark-structured-streaming-ml) &
spark-testing-base & high-performance-spark-examples (minor changes
required from preview version but seem intentional & jetty conflicts with
out of date testing library - but not a Spark problem).

On Fri, Jul 22, 2016 at 12:45 PM, Luciano Resende <lu...@gmail.com>
wrote:

> + 1 (non-binding)
>
> Found a minor issue when trying to run some of the docker tests, but
> nothing blocking the release. Will create a JIRA for that.
>
> On Tue, Jul 19, 2016 at 7:35 PM, Reynold Xin <rx...@databricks.com> wrote:
>
>> Please vote on releasing the following candidate as Apache Spark version
>> 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes
>> if a majority of at least 3 +1 PMC votes are cast.
>>
>> [ ] +1 Release this package as Apache Spark 2.0.0
>> [ ] -1 Do not release this package because ...
>>
>>
>> The tag to be voted on is v2.0.0-rc5
>> (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>>
>> This release candidate resolves ~2500 issues:
>> https://s.apache.org/spark-2.0.0-jira
>>
>> The release files, including signatures, digests, etc. can be found at:
>> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/
>>
>> Release artifacts are signed with the following key:
>> https://people.apache.org/keys/committer/pwendell.asc
>>
>> The staging repository for this release can be found at:
>> https://repository.apache.org/content/repositories/orgapachespark-1195/
>>
>> The documentation corresponding to this release can be found at:
>> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/
>>
>>
>> =================================
>> How can I help test this release?
>> =================================
>> If you are a Spark user, you can help us test this release by taking an
>> existing Spark workload and running on this release candidate, then
>> reporting any regressions from 1.x.
>>
>> ==========================================
>> What justifies a -1 vote for this release?
>> ==========================================
>> Critical bugs impacting major functionalities.
>>
>> Bugs already present in 1.x, missing features, or bugs related to new
>> features will not necessarily block this release. Note that historically
>> Spark documentation has been published on the website separately from the
>> main release so we do not need to block the release due to documentation
>> errors either.
>>
>>
>
>
> --
> Luciano Resende
> http://twitter.com/lresende1975
> http://lresende.blogspot.com/
>



-- 
Cell : 425-233-8271
Twitter: https://twitter.com/holdenkarau

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Luciano Resende <lu...@gmail.com>.
+ 1 (non-binding)

Found a minor issue when trying to run some of the docker tests, but
nothing blocking the release. Will create a JIRA for that.

On Tue, Jul 19, 2016 at 7:35 PM, Reynold Xin <rx...@databricks.com> wrote:

> Please vote on releasing the following candidate as Apache Spark version
> 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes
> if a majority of at least 3 +1 PMC votes are cast.
>
> [ ] +1 Release this package as Apache Spark 2.0.0
> [ ] -1 Do not release this package because ...
>
>
> The tag to be voted on is v2.0.0-rc5
> (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>
> This release candidate resolves ~2500 issues:
> https://s.apache.org/spark-2.0.0-jira
>
> The release files, including signatures, digests, etc. can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/
>
> Release artifacts are signed with the following key:
> https://people.apache.org/keys/committer/pwendell.asc
>
> The staging repository for this release can be found at:
> https://repository.apache.org/content/repositories/orgapachespark-1195/
>
> The documentation corresponding to this release can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/
>
>
> =================================
> How can I help test this release?
> =================================
> If you are a Spark user, you can help us test this release by taking an
> existing Spark workload and running on this release candidate, then
> reporting any regressions from 1.x.
>
> ==========================================
> What justifies a -1 vote for this release?
> ==========================================
> Critical bugs impacting major functionalities.
>
> Bugs already present in 1.x, missing features, or bugs related to new
> features will not necessarily block this release. Note that historically
> Spark documentation has been published on the website separately from the
> main release so we do not need to block the release due to documentation
> errors either.
>
>


-- 
Luciano Resende
http://twitter.com/lresende1975
http://lresende.blogspot.com/

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Shivaram Venkataraman <sh...@eecs.berkeley.edu>.
+1

SHA and MD5 sums match for all binaries. Docs look fine this time
around. Built and ran `dev/run-tests` with Java 7 on a linux machine.

No blocker bugs on JIRA and the only critical bug with target as 2.0.0
is SPARK-16633, which doesn't look like a release blocker. I also
checked issues which are marked as Critical affecting version 2.0.0
and the only other ones that seem applicable are SPARK-15703 and
SPARK-16334. Both of them don't look like blockers to me.

Thanks
Shivaram


On Tue, Jul 19, 2016 at 7:35 PM, Reynold Xin <rx...@databricks.com> wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes
> if a majority of at least 3 +1 PMC votes are cast.
>
> [ ] +1 Release this package as Apache Spark 2.0.0
> [ ] -1 Do not release this package because ...
>
>
> The tag to be voted on is v2.0.0-rc5
> (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>
> This release candidate resolves ~2500 issues:
> https://s.apache.org/spark-2.0.0-jira
>
> The release files, including signatures, digests, etc. can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/
>
> Release artifacts are signed with the following key:
> https://people.apache.org/keys/committer/pwendell.asc
>
> The staging repository for this release can be found at:
> https://repository.apache.org/content/repositories/orgapachespark-1195/
>
> The documentation corresponding to this release can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/
>
>
> =================================
> How can I help test this release?
> =================================
> If you are a Spark user, you can help us test this release by taking an
> existing Spark workload and running on this release candidate, then
> reporting any regressions from 1.x.
>
> ==========================================
> What justifies a -1 vote for this release?
> ==========================================
> Critical bugs impacting major functionalities.
>
> Bugs already present in 1.x, missing features, or bugs related to new
> features will not necessarily block this release. Note that historically
> Spark documentation has been published on the website separately from the
> main release so we do not need to block the release due to documentation
> errors either.
>

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Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Jonathan Kelly <jo...@gmail.com>.
+1 (non-binding)

On Wed, Jul 20, 2016 at 2:48 PM Michael Allman <mi...@videoamp.com> wrote:

> I've run some tests with some real and some synthetic parquet data with
> nested columns with and without the hive metastore on our Spark 1.5, 1.6
> and 2.0 versions. I haven't seen any unexpected performance surprises,
> except that Spark 2.0 now does schema inference across all files in a
> partitioned parquet metastore table. Granted, you aren't using a metastore
> table, but maybe Spark does that for partitioned non-metastore tables as
> well.
>
> Michael
>
> > On Jul 20, 2016, at 2:16 PM, Maciej Bryński <ma...@brynski.pl> wrote:
> >
> > @Michael,
> > I answered in Jira and could repeat here.
> > I think that my problem is unrelated to Hive, because I'm using
> read.parquet method.
> > I also attached some VisualVM snapshots to SPARK-16321 (I think I should
> merge both issues)
> > And code profiling suggest bottleneck when reading parquet file.
> >
> > I wonder if there are any other benchmarks related to parquet
> performance.
> >
> > Regards,
> > --
> > Maciek Bryński
>
>
> ---------------------------------------------------------------------
> To unsubscribe e-mail: dev-unsubscribe@spark.apache.org
>
>

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Michael Allman <mi...@videoamp.com>.
I've run some tests with some real and some synthetic parquet data with nested columns with and without the hive metastore on our Spark 1.5, 1.6 and 2.0 versions. I haven't seen any unexpected performance surprises, except that Spark 2.0 now does schema inference across all files in a partitioned parquet metastore table. Granted, you aren't using a metastore table, but maybe Spark does that for partitioned non-metastore tables as well.

Michael

> On Jul 20, 2016, at 2:16 PM, Maciej Bryński <ma...@brynski.pl> wrote:
> 
> @Michael,
> I answered in Jira and could repeat here.
> I think that my problem is unrelated to Hive, because I'm using read.parquet method.
> I also attached some VisualVM snapshots to SPARK-16321 (I think I should merge both issues)
> And code profiling suggest bottleneck when reading parquet file.
> 
> I wonder if there are any other benchmarks related to parquet performance.
> 
> Regards,
> -- 
> Maciek Bryński


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Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Maciej Bryński <ma...@brynski.pl>.
@Michael,
I answered in Jira and could repeat here.
I think that my problem is unrelated to Hive, because I'm using
read.parquet method.
I also attached some VisualVM snapshots to SPARK-16321 (I think I should
merge both issues)
And code profiling suggest bottleneck when reading parquet file.

I wonder if there are any other benchmarks related to parquet performance.

Regards,
-- 
Maciek Bryński

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Michael Allman <mi...@videoamp.com>.
In reference to https://issues.apache.org/jira/browse/SPARK-16320, the code path for reading data from parquet files has been refactored extensively. The fact that Maciej was testing performance on a table with 400 partitions makes me wonder if my PR for https://issues.apache.org/jira/browse/SPARK-15968 will make a difference for repeated queries on partitioned tables. That PR was merged into master and backported to 2.0. The commit short hash is d5d2457.

Maciej, can you rerun your test on your original dataset with a version of Spark 2.0 with that commit in it? And run it more than once? And ensure that when you compare your query performance for the first query, ensure that you're starting with a fresh spark-shell or spark-sql for each so caching is not a factor.

As for the issue with initial query performance on a partitioned table or query performance on an unpartitioned table being inferior, I can do a quick test to see if I can reproduce that issue on our end. Assuming there is a perf regression, I may be able to spend some time debugging today. I've spent a substantial amount of time debugging and optimizing parquet table query perf in Spark, and we've been using 2.0 for at least a month now. Not sure if I'll have time to dig that deep, though.

Michael


> On Jul 20, 2016, at 9:23 AM, Marcin Tustin <mt...@handybook.com> wrote:
> 
> I refer to Maciej Bryński's (maciek@brynski.pl <ma...@brynski.pl>) emails of 29 and 30 June 2016 to this list. He said that his benchmarking suggested that Spark 2.0 was slower than 1.6.
> 
> I'm wondering if that was ever investigated, and if so if the speed is back up, or not.
> 
> On Wed, Jul 20, 2016 at 12:18 PM, Michael Allman <michael@videoamp.com <ma...@videoamp.com>> wrote:
> Marcin,
> 
> I'm not sure what you're referring to. Can you be more specific?
> 
> Cheers,
> 
> Michael
> 
>> On Jul 20, 2016, at 9:10 AM, Marcin Tustin <mtustin@handybook.com <ma...@handybook.com>> wrote:
>> 
>> Whatever happened with the query regarding benchmarks? Is that resolved?
>> 
>> On Tue, Jul 19, 2016 at 10:35 PM, Reynold Xin <rxin@databricks.com <ma...@databricks.com>> wrote:
>> Please vote on releasing the following candidate as Apache Spark version 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes if a majority of at least 3 +1 PMC votes are cast.
>> 
>> [ ] +1 Release this package as Apache Spark 2.0.0
>> [ ] -1 Do not release this package because ...
>> 
>> 
>> The tag to be voted on is v2.0.0-rc5 (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>> 
>> This release candidate resolves ~2500 issues: https://s.apache.org/spark-2.0.0-jira <https://s.apache.org/spark-2.0.0-jira>
>> 
>> The release files, including signatures, digests, etc. can be found at:
>> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/ <http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/>
>> 
>> Release artifacts are signed with the following key:
>> https://people.apache.org/keys/committer/pwendell.asc <https://people.apache.org/keys/committer/pwendell.asc>
>> 
>> The staging repository for this release can be found at:
>> https://repository.apache.org/content/repositories/orgapachespark-1195/ <https://repository.apache.org/content/repositories/orgapachespark-1195/>
>> 
>> The documentation corresponding to this release can be found at:
>> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/ <http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/>
>> 
>> 
>> =================================
>> How can I help test this release?
>> =================================
>> If you are a Spark user, you can help us test this release by taking an existing Spark workload and running on this release candidate, then reporting any regressions from 1.x.
>> 
>> ==========================================
>> What justifies a -1 vote for this release?
>> ==========================================
>> Critical bugs impacting major functionalities.
>> 
>> Bugs already present in 1.x, missing features, or bugs related to new features will not necessarily block this release. Note that historically Spark documentation has been published on the website separately from the main release so we do not need to block the release due to documentation errors either.
>> 
>> 
>> 
>> Want to work at Handy? Check out our culture deck and open roles <http://www.handy.com/careers>
>> Latest news <http://www.handy.com/press> at Handy
>> Handy just raised $50m <http://venturebeat.com/2015/11/02/on-demand-home-service-handy-raises-50m-in-round-led-by-fidelity/> led by Fidelity
>> 
>> 
> 
> 
> 
> Want to work at Handy? Check out our culture deck and open roles <http://www.handy.com/careers>
> Latest news <http://www.handy.com/press> at Handy
> Handy just raised $50m <http://venturebeat.com/2015/11/02/on-demand-home-service-handy-raises-50m-in-round-led-by-fidelity/> led by Fidelity
> 
>

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Marcin Tustin <mt...@handybook.com>.
I refer to Maciej Bryński's (maciek@brynski.pl) emails of 29 and 30 June
2016 to this list. He said that his benchmarking suggested that Spark 2.0
was slower than 1.6.

I'm wondering if that was ever investigated, and if so if the speed is back
up, or not.

On Wed, Jul 20, 2016 at 12:18 PM, Michael Allman <mi...@videoamp.com>
wrote:

> Marcin,
>
> I'm not sure what you're referring to. Can you be more specific?
>
> Cheers,
>
> Michael
>
> On Jul 20, 2016, at 9:10 AM, Marcin Tustin <mt...@handybook.com> wrote:
>
> Whatever happened with the query regarding benchmarks? Is that resolved?
>
> On Tue, Jul 19, 2016 at 10:35 PM, Reynold Xin <rx...@databricks.com> wrote:
>
>> Please vote on releasing the following candidate as Apache Spark version
>> 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes
>> if a majority of at least 3 +1 PMC votes are cast.
>>
>> [ ] +1 Release this package as Apache Spark 2.0.0
>> [ ] -1 Do not release this package because ...
>>
>>
>> The tag to be voted on is v2.0.0-rc5
>> (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>>
>> This release candidate resolves ~2500 issues:
>> https://s.apache.org/spark-2.0.0-jira
>>
>> The release files, including signatures, digests, etc. can be found at:
>> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/
>>
>> Release artifacts are signed with the following key:
>> https://people.apache.org/keys/committer/pwendell.asc
>>
>> The staging repository for this release can be found at:
>> https://repository.apache.org/content/repositories/orgapachespark-1195/
>>
>> The documentation corresponding to this release can be found at:
>> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/
>>
>>
>> =================================
>> How can I help test this release?
>> =================================
>> If you are a Spark user, you can help us test this release by taking an
>> existing Spark workload and running on this release candidate, then
>> reporting any regressions from 1.x.
>>
>> ==========================================
>> What justifies a -1 vote for this release?
>> ==========================================
>> Critical bugs impacting major functionalities.
>>
>> Bugs already present in 1.x, missing features, or bugs related to new
>> features will not necessarily block this release. Note that historically
>> Spark documentation has been published on the website separately from the
>> main release so we do not need to block the release due to documentation
>> errors either.
>>
>>
>
> Want to work at Handy? Check out our culture deck and open roles
> <http://www.handy.com/careers>
> Latest news <http://www.handy.com/press> at Handy
> Handy just raised $50m
> <http://venturebeat.com/2015/11/02/on-demand-home-service-handy-raises-50m-in-round-led-by-fidelity/> led
> by Fidelity
>
>
>

-- 
Want to work at Handy? Check out our culture deck and open roles 
<http://www.handy.com/careers>
Latest news <http://www.handy.com/press> at Handy
Handy just raised $50m 
<http://venturebeat.com/2015/11/02/on-demand-home-service-handy-raises-50m-in-round-led-by-fidelity/> led 
by Fidelity

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Michael Allman <mi...@videoamp.com>.
Marcin,

I'm not sure what you're referring to. Can you be more specific?

Cheers,

Michael

> On Jul 20, 2016, at 9:10 AM, Marcin Tustin <mt...@handybook.com> wrote:
> 
> Whatever happened with the query regarding benchmarks? Is that resolved?
> 
> On Tue, Jul 19, 2016 at 10:35 PM, Reynold Xin <rxin@databricks.com <ma...@databricks.com>> wrote:
> Please vote on releasing the following candidate as Apache Spark version 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes if a majority of at least 3 +1 PMC votes are cast.
> 
> [ ] +1 Release this package as Apache Spark 2.0.0
> [ ] -1 Do not release this package because ...
> 
> 
> The tag to be voted on is v2.0.0-rc5 (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
> 
> This release candidate resolves ~2500 issues: https://s.apache.org/spark-2.0.0-jira <https://s.apache.org/spark-2.0.0-jira>
> 
> The release files, including signatures, digests, etc. can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/ <http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/>
> 
> Release artifacts are signed with the following key:
> https://people.apache.org/keys/committer/pwendell.asc <https://people.apache.org/keys/committer/pwendell.asc>
> 
> The staging repository for this release can be found at:
> https://repository.apache.org/content/repositories/orgapachespark-1195/ <https://repository.apache.org/content/repositories/orgapachespark-1195/>
> 
> The documentation corresponding to this release can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/ <http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/>
> 
> 
> =================================
> How can I help test this release?
> =================================
> If you are a Spark user, you can help us test this release by taking an existing Spark workload and running on this release candidate, then reporting any regressions from 1.x.
> 
> ==========================================
> What justifies a -1 vote for this release?
> ==========================================
> Critical bugs impacting major functionalities.
> 
> Bugs already present in 1.x, missing features, or bugs related to new features will not necessarily block this release. Note that historically Spark documentation has been published on the website separately from the main release so we do not need to block the release due to documentation errors either.
> 
> 
> 
> Want to work at Handy? Check out our culture deck and open roles <http://www.handy.com/careers>
> Latest news <http://www.handy.com/press> at Handy
> Handy just raised $50m <http://venturebeat.com/2015/11/02/on-demand-home-service-handy-raises-50m-in-round-led-by-fidelity/> led by Fidelity
> 
>

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Marcin Tustin <mt...@handybook.com>.
Whatever happened with the query regarding benchmarks? Is that resolved?

On Tue, Jul 19, 2016 at 10:35 PM, Reynold Xin <rx...@databricks.com> wrote:

> Please vote on releasing the following candidate as Apache Spark version
> 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes
> if a majority of at least 3 +1 PMC votes are cast.
>
> [ ] +1 Release this package as Apache Spark 2.0.0
> [ ] -1 Do not release this package because ...
>
>
> The tag to be voted on is v2.0.0-rc5
> (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>
> This release candidate resolves ~2500 issues:
> https://s.apache.org/spark-2.0.0-jira
>
> The release files, including signatures, digests, etc. can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/
>
> Release artifacts are signed with the following key:
> https://people.apache.org/keys/committer/pwendell.asc
>
> The staging repository for this release can be found at:
> https://repository.apache.org/content/repositories/orgapachespark-1195/
>
> The documentation corresponding to this release can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/
>
>
> =================================
> How can I help test this release?
> =================================
> If you are a Spark user, you can help us test this release by taking an
> existing Spark workload and running on this release candidate, then
> reporting any regressions from 1.x.
>
> ==========================================
> What justifies a -1 vote for this release?
> ==========================================
> Critical bugs impacting major functionalities.
>
> Bugs already present in 1.x, missing features, or bugs related to new
> features will not necessarily block this release. Note that historically
> Spark documentation has been published on the website separately from the
> main release so we do not need to block the release due to documentation
> errors either.
>
>

-- 
Want to work at Handy? Check out our culture deck and open roles 
<http://www.handy.com/careers>
Latest news <http://www.handy.com/press> at Handy
Handy just raised $50m 
<http://venturebeat.com/2015/11/02/on-demand-home-service-handy-raises-50m-in-round-led-by-fidelity/> led 
by Fidelity

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Xiao Li <ga...@gmail.com>.
+1

2016-07-22 19:32 GMT-07:00 Kousuke Saruta <sa...@oss.nttdata.co.jp>:

> +1 (non-binding)
>
> Tested on my cluster with three slave nodes.
>
> On 2016/07/23 10:25, Suresh Thalamati wrote:
>
> +1 (non-binding)
>
> Tested data source api , and jdbc data sources.
>
>
> On Jul 19, 2016, at 7:35 PM, Reynold Xin <rx...@databricks.com> wrote:
>
> Please vote on releasing the following candidate as Apache Spark version
> 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes
> if a majority of at least 3 +1 PMC votes are cast.
>
> [ ] +1 Release this package as Apache Spark 2.0.0
> [ ] -1 Do not release this package because ...
>
>
> The tag to be voted on is v2.0.0-rc5
> (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>
> This release candidate resolves ~2500 issues:
> https://s.apache.org/spark-2.0.0-jira
>
> The release files, including signatures, digests, etc. can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/
>
> Release artifacts are signed with the following key:
> https://people.apache.org/keys/committer/pwendell.asc
>
> The staging repository for this release can be found at:
> https://repository.apache.org/content/repositories/orgapachespark-1195/
>
> The documentation corresponding to this release can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/
>
>
> =================================
> How can I help test this release?
> =================================
> If you are a Spark user, you can help us test this release by taking an
> existing Spark workload and running on this release candidate, then
> reporting any regressions from 1.x.
>
> ==========================================
> What justifies a -1 vote for this release?
> ==========================================
> Critical bugs impacting major functionalities.
>
> Bugs already present in 1.x, missing features, or bugs related to new
> features will not necessarily block this release. Note that historically
> Spark documentation has been published on the website separately from the
> main release so we do not need to block the release due to documentation
> errors either.
>
>
>
>

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Kousuke Saruta <sa...@oss.nttdata.co.jp>.
+1 (non-binding)

Tested on my cluster with three slave nodes.

On 2016/07/23 10:25, Suresh Thalamati wrote:
> +1 (non-binding)
>
> Tested data source api , and jdbc data sources.
>
>
>> On Jul 19, 2016, at 7:35 PM, Reynold Xin <rxin@databricks.com 
>> <ma...@databricks.com>> wrote:
>>
>> Please vote on releasing the following candidate as Apache Spark 
>> version 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 
>> PDT and passes if a majority of at least 3 +1 PMC votes are cast.
>>
>> [ ] +1 Release this package as Apache Spark 2.0.0
>> [ ] -1 Do not release this package because ...
>>
>>
>> The tag to be voted on is v2.0.0-rc5 
>> (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>>
>> This release candidate resolves ~2500 issues: 
>> https://s.apache.org/spark-2.0.0-jira
>>
>> The release files, including signatures, digests, etc. can be found at:
>> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/ 
>> <http://people.apache.org/%7Epwendell/spark-releases/spark-2.0.0-rc5-bin/>
>>
>> Release artifacts are signed with the following key:
>> https://people.apache.org/keys/committer/pwendell.asc
>>
>> The staging repository for this release can be found at:
>> https://repository.apache.org/content/repositories/orgapachespark-1195/
>>
>> The documentation corresponding to this release can be found at:
>> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/ 
>> <http://people.apache.org/%7Epwendell/spark-releases/spark-2.0.0-rc5-docs/>
>>
>>
>> =================================
>> How can I help test this release?
>> =================================
>> If you are a Spark user, you can help us test this release by taking 
>> an existing Spark workload and running on this release candidate, 
>> then reporting any regressions from 1.x.
>>
>> ==========================================
>> What justifies a -1 vote for this release?
>> ==========================================
>> Critical bugs impacting major functionalities.
>>
>> Bugs already present in 1.x, missing features, or bugs related to new 
>> features will not necessarily block this release. Note that 
>> historically Spark documentation has been published on the website 
>> separately from the main release so we do not need to block the 
>> release due to documentation errors either.
>>
>

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Suresh Thalamati <su...@gmail.com>.
+1 (non-binding)

Tested data source api , and jdbc data sources. 


> On Jul 19, 2016, at 7:35 PM, Reynold Xin <rx...@databricks.com> wrote:
> 
> Please vote on releasing the following candidate as Apache Spark version 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes if a majority of at least 3 +1 PMC votes are cast.
> 
> [ ] +1 Release this package as Apache Spark 2.0.0
> [ ] -1 Do not release this package because ...
> 
> 
> The tag to be voted on is v2.0.0-rc5 (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
> 
> This release candidate resolves ~2500 issues: https://s.apache.org/spark-2.0.0-jira <https://s.apache.org/spark-2.0.0-jira>
> 
> The release files, including signatures, digests, etc. can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/ <http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/>
> 
> Release artifacts are signed with the following key:
> https://people.apache.org/keys/committer/pwendell.asc <https://people.apache.org/keys/committer/pwendell.asc>
> 
> The staging repository for this release can be found at:
> https://repository.apache.org/content/repositories/orgapachespark-1195/ <https://repository.apache.org/content/repositories/orgapachespark-1195/>
> 
> The documentation corresponding to this release can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/ <http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/>
> 
> 
> =================================
> How can I help test this release?
> =================================
> If you are a Spark user, you can help us test this release by taking an existing Spark workload and running on this release candidate, then reporting any regressions from 1.x.
> 
> ==========================================
> What justifies a -1 vote for this release?
> ==========================================
> Critical bugs impacting major functionalities.
> 
> Bugs already present in 1.x, missing features, or bugs related to new features will not necessarily block this release. Note that historically Spark documentation has been published on the website separately from the main release so we do not need to block the release due to documentation errors either.
>

Re: [VOTE] Release Apache Spark 2.0.0 (RC5)

Posted by Joseph Gonzalez <jo...@gmail.com>.
+1

Sent from my iPad

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