I'd like to preemptively post the current list of 35 Blockers for release 1.4.0. (There are 53 Critical too, and a total of 273 JIRAs targeted for 1.4.0. Clearly most of that isn't accurate, so would be good to un-target most of that.)
As a matter of process and hygiene, it would be best to either decide they're not Blockers at this point and reprioritize, or focus on addressing them, as we're now in the run up to release. I suggest that we shouldn't release with any Blockers outstanding, by definition. SPARK-7298 Web UI Harmonize style of new UI visualizations Patrick Wendell SPARK-7297 Web UI Make timeline more discoverable Patrick Wendell SPARK-7284 "Documentation Streaming" Update streaming documentation for Spark 1.4.0 release Tathagata Das SPARK-7228 SparkR SparkR public API for 1.4 release Shivaram Venkataraman SPARK-7158 SQL collect and take return different results SPARK-7139 Streaming Allow received block metadata to be saved to WAL and recovered on driver failure Tathagata Das SPARK-7111 Streaming Exposing of input data rates of non-receiver streams like Kafka Direct stream Saisai Shao SPARK-6941 SQL Provide a better error message to explain that tables created from RDDs are immutable SPARK-6923 SQL Spark SQL CLI does not read Data Source schema correctly SPARK-6906 SQL Refactor Connection to Hive Metastore Michael Armbrust SPARK-6831 "Documentation PySpark SparkR SQL" Document how to use external data sources SPARK-6824 SparkR Fill the docs for DataFrame API in SparkR SPARK-6812 SparkR filter() on DataFrame does not work as expected SPARK-6811 SparkR Building binary R packages for SparkR SPARK-6806 "Documentation SparkR" SparkR examples in programming guide Davies Liu SPARK-6784 SQL Clean up all the inbound/outbound conversions for DateType Yin Huai SPARK-6702 "Streaming Web UI" Update the Streaming Tab in Spark UI to show more batch information Tathagata Das SPARK-6654 Streaming Update Kinesis Streaming impls (both KCL-based and Direct) to use latest aws-java-sdk and kinesis-client-library SPARK-5960 Streaming Allow AWS credentials to be passed to KinesisUtils.createStream() Chris Fregly SPARK-5948 SQL Support writing to partitioned table for the Parquet data source SPARK-5947 SQL First class partitioning support in data sources API SPARK-5920 Shuffle Use a BufferedInputStream to read local shuffle data Kay Ousterhout SPARK-5707 SQL Enabling spark.sql.codegen throws ClassNotFound exception SPARK-5517 SQL Add input types for Java UDFs SPARK-5463 SQL Fix Parquet filter push-down SPARK-5456 SQL Decimal Type comparison issue SPARK-5182 SQL Partitioning support for tables created by the data source API Cheng Lian SPARK-5180 SQL Data source API improvement SPARK-4867 SQL UDF clean up SPARK-2973 SQL "Use LocalRelation for all ExecutedCommands avoid job for take/collect()" Cheng Lian SPARK-2883 "Input/Output SQL" Spark Support for ORCFile format SPARK-2873 SQL Support disk spilling in Spark SQL aggregation Yin Huai SPARK-1517 "Build Project Infra" "Publish nightly snapshots of documentation maven artifacts and binary builds" Nicholas Chammas SPARK-1442 SQL Add Window function support --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
