+1
On Wednesday, July 20, 2016, Krishna Sankar <ksanka...@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 <r...@databricks.com
> <javascript:_e(%7B%7D,'cvml','r...@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.
>>
>>
>
