+1 (non-binding, of course)
1. Compiled OSX 10.10 (Yosemite) OK Total time: 37:11 min
mvn clean package -Pyarn -Phadoop-2.6 -DskipTests
2. Tested pyspark, mllib (iPython 4.0)
2.0 Spark version is 1.6.2
2.1. statistics (min,max,mean,Pearson,Spearman) OK
2.2. Linear/Ridge/Lasso Regression OK
2.3. Decision Tree, Naive Bayes OK
2.4. 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 4.3 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
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 & Good Work, Folks
<k/>
On Sun, Jun 19, 2016 at 9:24 PM, Reynold Xin <r...@databricks.com> wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 1.6.2. The vote is open until Wednesday, June 22, 2016 at 22:00 PDT and
> passes if a majority of at least 3+1 PMC votes are cast.
>
> [ ] +1 Release this package as Apache Spark 1.6.2
> [ ] -1 Do not release this package because ...
>
>
> The tag to be voted on is v1.6.2-rc2
> (54b1121f351f056d6b67d2bb4efe0d553c0f7482)
>
> The release files, including signatures, digests, etc. can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-1.6.2-rc2-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-1186/
>
> The documentation corresponding to this release can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-1.6.2-rc2-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 1.6.1.
>
> ================================================
> == What justifies a -1 vote for this release? ==
> ================================================
> This is a maintenance release in the 1.6.x series. Bugs already present
> in 1.6.1, missing features, or bugs related to new features will not
> necessarily block this release.
>
>
>
>
