Sean thanks for checking them! I made one pass and re-targeted/closed some of them. Most of them are documentation and auditing, do we need to block the release for them?
On Fri, Sep 21, 2018 at 6:01 AM Sean Owen <sro...@apache.org> wrote: > Because we're into 2.4 release candidates, I thought I'd look at > what's still open and targeted at 2.4.0. I presume the Blockers are > the usual umbrellas that don't themselves block anything, but, > confirming, there is nothing left to do there? > > I think that's mostly a question for Joseph and Weichen. > > As ever, anyone who knows these items are a) done or b) not going to > be in 2.4, go ahead and update them. > > > Blocker: > > SPARK-25321 ML, Graph 2.4 QA: API: New Scala APIs, docs > SPARK-25324 ML 2.4 QA: API: Java compatibility, docs > SPARK-25323 ML 2.4 QA: API: Python API coverage > SPARK-25320 ML, Graph 2.4 QA: API: Binary incompatible changes > > Critical: > > SPARK-25319 Spark MLlib, GraphX 2.4 QA umbrella > SPARK-25378 ArrayData.toArray(StringType) assume UTF8String in 2.4 > SPARK-25327 Update MLlib, GraphX websites for 2.4 > SPARK-25325 ML, Graph 2.4 QA: Update user guide for new features & APIs > SPARK-25326 ML, Graph 2.4 QA: Programming guide update and migration guide > > Other: > > SPARK-25346 Document Spark builtin data sources > SPARK-25347 Document image data source in doc site > SPARK-12978 Skip unnecessary final group-by when input data already > clustered with group-by keys > SPARK-20184 performance regression for complex/long sql when enable > whole stage codegen > SPARK-16196 Optimize in-memory scan performance using ColumnarBatches > SPARK-15693 Write schema definition out for file-based data sources to > avoid schema inference > SPARK-23597 Audit Spark SQL code base for non-interpreted expressions > SPARK-25179 Document the features that require Pyarrow 0.10 > SPARK-25110 make sure Flume streaming connector works with Spark 2.4 > SPARK-21318 The exception message thrown by `lookupFunction` is ambiguous. > SPARK-24464 Unit tests for MLlib's Instrumentation > SPARK-23197 Flaky test: spark.streaming.ReceiverSuite."receiver_life_cycle" > SPARK-22809 pyspark is sensitive to imports with dots > SPARK-22739 Additional Expression Support for Objects > SPARK-22231 Support of map, filter, withColumn, dropColumn in nested > list of structures > SPARK-21030 extend hint syntax to support any expression for Python and R > SPARK-22386 Data Source V2 improvements > SPARK-15117 Generate code that get a value in each compressed column > from CachedBatch when DataFrame.cache() is called > > --------------------------------------------------------------------- > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > >
