+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. > > > >