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- SPARK-5147
write ahead logs from streaming receiver are not purged because cleanupOldBlocks in WriteAheadLogBasedBlockHandler is never called - SPARK-5904
DataFrame methods with varargs do not work in Java - SPARK-5554
Add more tests and docs for DataFrame Python API - SPARK-5586
Automatically provide sqlContext in Spark shell - SPARK-5994
Python DataFrame documentation fixes - SPARK-5247
Enable javadoc/scaladoc for public classes in catalyst project - SPARK-4912
Persistent data source tables - SPARK-5501
Write support for the data source API - SPARK-5518
Error messages for plans with invalid AttributeReferences - SPARK-5514
collect should call executeCollect - SPARK-5465
Data source version of Parquet doesn't push down And filters properly - SPARK-5658
Finalize DDL and write support APIs - SPARK-5595
In memory data cache should be invalidated after insert into/overwrite - SPARK-5603
Preinsert casting and renaming rule is needed in the Analyzer - SPARK-5472
Add support for reading from and writing to a JDBC database - SPARK-5166
Stabilize Spark SQL APIs - SPARK-4768
Add Support For Impala Encoded Timestamp (INT96) - SPARK-5258
Clean up exposed classes in sql.hive package - SPARK-3851
Support for reading parquet files with different but compatible schema - SPARK-5723
Change the default file format to Parquet for CTAS statements. - SPARK-5420
Cross-langauge load/store functions for creating and saving DataFrames - SPARK-5551
Create type alias for SchemaRDD for source backward compatibility - SPARK-5578
Provide a convenient way for Scala users to use UDFs - SPARK-5573
Support explode in DataFrame DSL - SPARK-5568
Python API for the write support of the data source API - SPARK-4574
Adding support for defining schema in foreign DDL commands. - SPARK-5811
Documentation for --packages and --repositories on Spark Shell - SPARK-5341
Support maven coordinates in spark-shell and spark-submit - SPARK-4632
Upgrade MQTT dependency to use mqtt-client 1.0.1 - SPARK-4631
Add real unit test for MQTT - SPARK-4586
Python API for ML Pipeline - SPARK-5094
Python API for gradient-boosted trees - SPARK-1405
parallel Latent Dirichlet Allocation (LDA) atop of spark in MLlib - SPARK-5520
Make FP-Growth implementation take generic item types - SPARK-5757
Use json4s instead of DataFrame.toJSON in model export - SPARK-5020
GaussianMixtureModel.predictMembership() should take an RDD only - SPARK-5018
Make MultivariateGaussian public - SPARK-5012
Python API for Gaussian Mixture Model - SPARK-5015
GaussianMixtureEM should take random seed parameter - SPARK-2309
Generalize the binary logistic regression into multinomial logistic regression - SPARK-5588
support select/filter by SQL expression for Python DataFrame - SPARK-5083
Flaky test: o.a.s.scheduler.TaskResultGetterSuite - SPARK-5078
Allow setting Akka host name from env vars - SPARK-4688
Have a single shared network timeout in Spark - SPARK-5413
Upgrade "metrics" dependency to 3.1.0 - SPARK-6163
jsonFile should be backed by the data source API - SPARK-5097
Adding data frame APIs to SchemaRDD - SPARK-5296
Predicate Pushdown (BaseRelation) to have an interface that will accept more filters - SPARK-4293
Make Cast be able to handle complex types. - SPARK-5310
Update SQL programming guide for 1.3
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0.3
0