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Felix Cheung commented on SPARK-23114: -------------------------------------- [~sameerag] Here are some ideas for the release notes (that goes to spark-website in the announcements) For SparkR, new in 2.3.0: SQL changes: SQL functions, cubing & nested structure collect_list, collect_set, split_string, repeat_string, rollup, cube explode_outer posexplode_outer, %<=>%, !, not, create_array, create_map, grouping_bit, grouping_id input_file_name, alias, trunc, date_trunc, map_keys, map_values, current_date, current_timestamp, trim/trimString, dayofweek, unionByName, to_json (map or array of maps) Data Source - multiLine (json/csv) ML changes: Decision Tree (regression and classification) Constrained Logistic Regression offset in SparkR GLM https://github.com/apache/spark/pull/18831 stringIndexerOrderType handleInvalid (spark.svmLinear, spark.logit, spark.mlp, spark.naiveBayes, spark.gbt, spark.decisionTree, spark.randomForest) SS changes: Structured Streaming API for withWatermark, trigger (once, processingTime), partitionBy stream-stream join Documentation: major overhaul and simplification of API doc > Spark R 2.3 QA umbrella > ----------------------- > > Key: SPARK-23114 > URL: https://issues.apache.org/jira/browse/SPARK-23114 > Project: Spark > Issue Type: Umbrella > Components: Documentation, SparkR > Reporter: Joseph K. Bradley > Assignee: Felix Cheung > Priority: Critical > > This JIRA lists tasks for the next Spark release's QA period for SparkR. > The list below gives an overview of what is involved, and the corresponding > JIRA issues are linked below that. > h2. API > * Audit new public APIs (from the generated html doc) > ** relative to Spark Scala/Java APIs > ** relative to popular R libraries > h2. Documentation and example code > * For new algorithms, create JIRAs for updating the user guide sections & > examples > * Update Programming Guide > * Update website -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org