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* [SPARK-7469] [SQL] DAG visualization: show SQL query operatorsAndrew Or2015-05-0824-41/+52
* [SPARK-4699] [SQL] Make caseSensitive configurable in spark sql analyzerJacky Li2015-05-084-20/+27
* [SPARK-7390] [SQL] Only merge other CovarianceCounter when its count is great...Liang-Chi Hsieh2015-05-081-10/+12
* [SPARK-7133] [SQL] Implement struct, array, and map field accessorWenchen Fan2015-05-082-5/+24
* [SPARK-6986] [SQL] Use Serializer2 in more cases.Yin Huai2015-05-073-58/+69
* [SPARK-6908] [SQL] Use isolated Hive clientMichael Armbrust2015-05-074-10/+22
* [SPARK-2155] [SQL] [WHEN D THEN E] [ELSE F] add CaseKeyWhen for "CASE a WHEN ...Wenchen Fan2015-05-071-4/+5
* [SPARK-7277] [SQL] Throw exception if the property mapred.reduce.tasks is set...Liang-Chi Hsieh2015-05-072-2/+18
* [SPARK-7116] [SQL] [PYSPARK] Remove cache() causing memory leakksonj2015-05-071-4/+3
* [SPARK-7330] [SQL] avoid NPE at jdbc rddDaoyuan Wang2015-05-072-1/+32
* [SPARK-7295][SQL] bitwise operations for DataFrame DSLShiti2015-05-074-2/+77
* [SPARK-5938] [SPARK-5443] [SQL] Improve JsonRDD performanceNathan Howell2015-05-0611-108/+688
* [SPARK-7311] Introduce internal Serializer API for determining if serializers...Josh Rosen2015-05-061-0/+5
* [SPARK-1442] [SQL] Window Function Support for Spark SQLYin Huai2015-05-062-0/+482
* [SPARK-6201] [SQL] promote string and do widen types for INDaoyuan Wang2015-05-061-0/+9
* [SPARK-5456] [SQL] fix decimal compare for jdbc rddDaoyuan Wang2015-05-062-2/+11
* [SQL] JavaDoc update for various DataFrame functions.Reynold Xin2015-05-064-21/+32
* [SPARK-7358][SQL] Move DataFrame mathfunctions into functionsBurak Yavuz2015-05-054-388/+488
* [SPARK-6231][SQL/DF] Automatically resolve join condition ambiguity for self-...Reynold Xin2015-05-054-43/+127
* [SPARK-7294][SQL] ADD BETWEEN云峤2015-05-052-0/+23
* [SPARK-7243][SQL] Reduce size for Contingency Tables in DataFramesBurak Yavuz2015-05-052-7/+8
* [SPARK-7243][SQL] Contingency Tables for DataFramesBurak Yavuz2015-05-044-31/+126
* [SPARK-7319][SQL] Improve the output from DataFrame.show()云峤2015-05-042-6/+41
* [SPARK-5100] [SQL] add webui for thriftservertianyi2015-05-041-0/+2
* [SPARK-7241] Pearson correlation for DataFramesBurak Yavuz2015-05-034-26/+98
* [SPARK-5213] [SQL] Pluggable SQL Parser SupportCheng Hao2015-05-023-14/+90
* [SPARK-7242] added python api for freqItems in DataFramesBurak Yavuz2015-05-011-3/+6
* [SPARK-6999] [SQL] Remove the infinite recursive method (useless)Cheng Hao2015-05-011-14/+0
* [SPARK-7312][SQL] SPARK-6913 broke jdk6 buildYin Huai2015-05-011-2/+4
* [SPARK-7240][SQL] Single pass covariance calculation for dataframesBurak Yavuz2015-05-014-3/+114
* [SPARK-7274] [SQL] Create Column expression for array/struct creation.Reynold Xin2015-05-012-1/+124
* [SPARK-4550] In sort-based shuffle, store map outputs in serialized formSandy Ryza2015-04-301-9/+29
* [SPARK-7248] implemented random number generators for DataFramesBurak Yavuz2015-04-304-3/+54
* Revert "[SPARK-5213] [SQL] Pluggable SQL Parser Support"Patrick Wendell2015-04-303-93/+17
* [SPARK-7123] [SQL] support table.star in sqlcontextscwf2015-04-301-0/+10
* [SPARK-5213] [SQL] Pluggable SQL Parser SupportCheng Hao2015-04-303-17/+93
* [SPARK-6913][SQL] Fixed "java.sql.SQLException: No suitable driver found"Vyacheslav Baranov2015-04-303-4/+62
* [SPARK-7093] [SQL] Using newPredicate in NestedLoopJoin to enable code genera...scwf2015-04-302-8/+2
* [SPARK-7280][SQL] Add "drop" column/s on a data framerakeshchalasani2015-04-302-4/+45
* [SPARK-7242][SQL][MLLIB] Frequent items for DataFramesBurak Yavuz2015-04-305-5/+256
* [Build] Enable MiMa checks for SQLJosh Rosen2015-04-303-4/+5
* [SPARK-7196][SQL] Support precision and scale of decimal type for JDBCLiang-Chi Hsieh2015-04-302-2/+10
* [SPARK-7156][SQL] Addressed follow up comments for randomSplitBurak Yavuz2015-04-291-1/+1
* [SQL] [Minor] Print detail query execution info when spark answer is not rightwangfei2015-04-291-5/+1
* [SPARK-7229] [SQL] SpecificMutableRow should take integer type as internal re...Cheng Hao2015-04-291-0/+9
* [SPARK-7156][SQL] support RandomSplit in DataFramesBurak Yavuz2015-04-294-5/+74
* [SQL][Minor] fix java doc for DataFrame.aggWenchen Fan2015-04-291-11/+6
* [SPARK-7076][SPARK-7077][SPARK-7080][SQL] Use managed memory for aggregationsJosh Rosen2015-04-294-0/+73
* [SPARK-7188] added python support for math DataFrame functionsBurak Yavuz2015-04-292-305/+116
* [SPARK-7215] made coalesce and repartition a part of the query planBurak Yavuz2015-04-283-9/+19