| Wenchen Fan (JIRA) |
[jira] [Created] (SPARK-15241) support scala decimal in external row |
Tue, 10 May, 03:24 |
| Wenchen Fan (JIRA) |
[jira] [Created] (SPARK-15242) keep decimal precision and scale when convert external decimal to catalyst decimal |
Tue, 10 May, 03:25 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-15187) Disallow Dropping Default Database |
Tue, 10 May, 03:58 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-15187) Disallow Dropping Default Database |
Tue, 10 May, 03:59 |
| Wenchen Fan (JIRA) |
[jira] [Created] (SPARK-15252) add accumulator wrapper to have more control of it |
Tue, 10 May, 14:58 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-14495) Distinct aggregation cannot be used in the having clause |
Wed, 11 May, 08:32 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-15080) Break copyAndReset into copy and reset |
Thu, 12 May, 03:13 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-15253) For a data source table, Describe table needs to handle spark.sql.sources.schema |
Mon, 16 May, 02:43 |
| Wenchen Fan (JIRA) |
[jira] [Created] (SPARK-15351) RowEncoder should support array as the external type for ArrayType |
Mon, 16 May, 17:39 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-15351) RowEncoder should support array as the external type for ArrayType |
Tue, 17 May, 09:04 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-15367) Add refreshTable back |
Wed, 18 May, 01:55 |
| Wenchen Fan (JIRA) |
[jira] [Created] (SPARK-15381) physical object operator should define `reference` correctly |
Wed, 18 May, 09:37 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-15297) Fix Set -V Command |
Thu, 19 May, 02:07 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-15297) Fix Set -V Command |
Thu, 19 May, 02:11 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-14939) Add FoldablePropagation optimizer |
Thu, 19 May, 08:00 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-14939) Add FoldablePropagation optimizer |
Thu, 19 May, 08:01 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-15321) Encoding/decoding of Array[Timestamp] fails |
Fri, 20 May, 04:31 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-11827) Support java.math.BigInteger in Type-Inference utilities for POJOs |
Fri, 20 May, 04:44 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-11827) Support java.math.BigInteger in Type-Inference utilities for POJOs |
Fri, 20 May, 04:45 |
| Wenchen Fan (JIRA) |
[jira] [Created] (SPARK-15434) improve EmbedSerializerInFilter rule |
Fri, 20 May, 05:48 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-15367) Add refreshTable back |
Fri, 20 May, 06:39 |
| Wenchen Fan (JIRA) |
[jira] [Commented] (SPARK-15441) dataset outer join seems to return incorrect result |
Fri, 20 May, 07:45 |
| Wenchen Fan (JIRA) |
[jira] [Commented] (SPARK-15441) dataset outer join seems to return incorrect result |
Sat, 21 May, 15:08 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-15462) Checking `resolved === false` is enough for testcases. |
Sat, 21 May, 15:12 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-15462) Checking `resolved === false` is enough for testcases. |
Sat, 21 May, 15:12 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-15114) Column name generated by typed aggregate is super verbose |
Sat, 21 May, 15:37 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-15114) Column name generated by typed aggregate is super verbose |
Sat, 21 May, 15:37 |
| Wenchen Fan (JIRA) |
[jira] [Commented] (SPARK-15285) Generated SpecificSafeProjection.apply method grows beyond 64 KB |
Sat, 21 May, 20:32 |
| Wenchen Fan (JIRA) |
[jira] [Commented] (SPARK-15140) ensure input object of encoder is not null |
Sun, 22 May, 00:01 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-15206) Add testcases for Distinct Aggregation in Having clause |
Sun, 22 May, 05:31 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-15206) Add testcases for Distinct Aggregation in Having clause |
Sun, 22 May, 05:31 |
| Wenchen Fan (JIRA) |
[jira] [Created] (SPARK-15471) ScalaReflection cleanup |
Sun, 22 May, 06:46 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-15312) Detect Duplicate Key in Partition Spec and Table Properties |
Sun, 22 May, 06:57 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-15312) Detect Duplicate Key in Partition Spec and Table Properties |
Sun, 22 May, 06:57 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-15379) String to date and timestamp conversion should return null on some invalid date string |
Mon, 23 May, 02:32 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-15379) String to date and timestamp conversion should return null on some invalid date string |
Mon, 23 May, 02:34 |
| Wenchen Fan (JIRA) |
[jira] [Created] (SPARK-15494) encoder code cleanup |
Mon, 23 May, 23:40 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-15315) CSV datasource writes garbage for complex types instead of rasing error. |
Tue, 24 May, 00:16 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-15315) CSV datasource writes garbage for complex types instead of rasing error. |
Tue, 24 May, 00:19 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-15315) CSV datasource writes garbage for complex types instead of rasing error. |
Tue, 24 May, 00:19 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-15285) Generated SpecificSafeProjection.apply method grows beyond 64 KB |
Tue, 24 May, 04:14 |
| Wenchen Fan (JIRA) |
[jira] [Created] (SPARK-15498) fix slow tests |
Tue, 24 May, 04:26 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-11753) Understand why allowNonNumericNumbers JSON option doesn't work |
Tue, 24 May, 16:44 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-11753) Understand why allowNonNumericNumbers JSON option doesn't work |
Tue, 24 May, 16:45 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-15140) encoder should support null input object |
Fri, 27 May, 06:51 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-15441) dataset outer join seems to return incorrect result |
Fri, 27 May, 21:32 |
| Wenchen Fan (JIRA) |
[jira] [Commented] (SPARK-15632) Dataset typed filter operation changes query plan schema |
Fri, 27 May, 22:10 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-15549) Disable bucketing when the output doesn't contain all bucketing columns |
Sat, 28 May, 17:20 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-15549) Disable bucketing when the output doesn't contain all bucketing columns |
Sat, 28 May, 17:21 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-15549) Disable bucketing when the output doesn't contain all bucketing columns |
Sat, 28 May, 17:21 |
| Wenchen Fan (JIRA) |
[jira] [Created] (SPARK-15657) RowEncoder should validate the data type of input object |
Tue, 31 May, 03:28 |
| Wenchen Fan (JIRA) |
[jira] [Created] (SPARK-15658) Analysis exception if Dataset.map returns UDT object |
Tue, 31 May, 04:46 |
| Wenchen Fan (JIRA) |
[jira] [Resolved] (SPARK-15647) Fix Boundary Cases in OptimizeCodegen Rule |
Tue, 31 May, 17:09 |
| Wenchen Fan (JIRA) |
[jira] [Updated] (SPARK-15647) Fix Boundary Cases in OptimizeCodegen Rule |
Tue, 31 May, 17:09 |
| Wes McKinney (JIRA) |
[jira] [Commented] (SPARK-13946) PySpark DataFrames allows you to silently use aggregate expressions derived from different table expressions |
Wed, 04 May, 15:35 |
| Wes McKinney (JIRA) |
[jira] [Commented] (SPARK-13946) PySpark DataFrames allows you to silently use aggregate expressions derived from different table expressions |
Mon, 09 May, 00:31 |
| Xiangrui Meng (JIRA) |
[jira] [Created] (SPARK-15064) Locale support in StopWordsRemover |
Mon, 02 May, 16:03 |
| Xiangrui Meng (JIRA) |
[jira] [Resolved] (SPARK-6717) Clear shuffle files after checkpointing in ALS |
Tue, 03 May, 07:19 |
| Xiangrui Meng (JIRA) |
[jira] [Commented] (SPARK-15027) ALS.train should use DataFrame instead of RDD |
Tue, 03 May, 18:00 |
| Xiangrui Meng (JIRA) |
[jira] [Resolved] (SPARK-14050) Add multiple languages support for Stop Words Remover |
Fri, 06 May, 20:59 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-14050) Add multiple languages support for Stop Words Remover |
Fri, 06 May, 21:00 |
| Xiangrui Meng (JIRA) |
[jira] [Resolved] (SPARK-15268) Make JavaTypeInference work with UDTRegistration |
Wed, 11 May, 16:32 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15268) Make JavaTypeInference work with UDTRegistration |
Wed, 11 May, 16:32 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-14906) Move VectorUDT and MatrixUDT in PySpark to new ML package |
Tue, 17 May, 07:09 |
| Xiangrui Meng (JIRA) |
[jira] [Resolved] (SPARK-14906) Move VectorUDT and MatrixUDT in PySpark to new ML package |
Tue, 17 May, 07:09 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-14906) Copy pyspark.mllib.linalg to pyspark.ml.linalg |
Tue, 17 May, 07:10 |
| Xiangrui Meng (JIRA) |
[jira] [Created] (SPARK-15363) Example code shouldn't use VectorImplicits._ |
Tue, 17 May, 16:56 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15363) Example code shouldn't use VectorImplicits._ |
Tue, 17 May, 16:57 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15363) Example code shouldn't use VectorImplicits._, asML/fromML |
Tue, 17 May, 17:11 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15363) Example code shouldn't use VectorImplicits._ |
Tue, 17 May, 17:11 |
| Xiangrui Meng (JIRA) |
[jira] [Created] (SPARK-15364) Implement Python picklers for ml.Vector and ml.Matrix under spark.ml.python |
Tue, 17 May, 17:27 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-14615) Use the new ML Vector and Matrix in the ML pipeline based algorithms |
Tue, 17 May, 19:30 |
| Xiangrui Meng (JIRA) |
[jira] [Resolved] (SPARK-14615) Use the new ML Vector and Matrix in the ML pipeline based algorithms |
Tue, 17 May, 19:53 |
| Xiangrui Meng (JIRA) |
[jira] [Commented] (SPARK-15363) Example code shouldn't use VectorImplicits._, asML/fromML |
Fri, 20 May, 00:10 |
| Xiangrui Meng (JIRA) |
[jira] [Resolved] (SPARK-15414) Make the mllib,ml linalg type conversion APIs public |
Fri, 20 May, 00:25 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15414) Make the mllib,ml linalg type conversion APIs public |
Fri, 20 May, 00:25 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15341) Add documentation for `model.write` to clarify `summary` was not saved |
Fri, 20 May, 00:55 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15341) Add documentation for `model.write` to clarify `summary` was not saved |
Fri, 20 May, 00:55 |
| Xiangrui Meng (JIRA) |
[jira] [Resolved] (SPARK-15296) Refactor All Java Tests that use SparkSession |
Fri, 20 May, 03:40 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15172) Warning message should explicitly tell user initial coefficients is ignored if its size doesn't match expected size in LogisticRegression |
Fri, 20 May, 06:20 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15363) Example code shouldn't use VectorImplicits._, asML/fromML |
Fri, 20 May, 06:22 |
| Xiangrui Meng (JIRA) |
[jira] [Resolved] (SPARK-15363) Example code shouldn't use VectorImplicits._, asML/fromML |
Fri, 20 May, 06:22 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15398) Update the warning message to recommend ML usage |
Fri, 20 May, 06:27 |
| Xiangrui Meng (JIRA) |
[jira] [Resolved] (SPARK-15398) Update the warning message to recommend ML usage |
Fri, 20 May, 06:27 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15394) ML user guide typos and grammar audit |
Fri, 20 May, 06:31 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15394) ML user guide typos and grammar audit |
Fri, 20 May, 06:31 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15339) ML 2.0 QA: Scala APIs and code audit for regression |
Fri, 20 May, 06:36 |
| Xiangrui Meng (JIRA) |
[jira] [Resolved] (SPARK-15339) ML 2.0 QA: Scala APIs and code audit for regression |
Fri, 20 May, 06:36 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15153) SparkR spark.naiveBayes throws error when label is numeric type |
Fri, 20 May, 06:40 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15153) SparkR spark.naiveBayes throws error when label is numeric type |
Fri, 20 May, 06:40 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15222) SparkR ML examples update in 2.0 |
Fri, 20 May, 16:31 |
| Xiangrui Meng (JIRA) |
[jira] [Resolved] (SPARK-15222) SparkR ML examples update in 2.0 |
Fri, 20 May, 16:31 |
| Xiangrui Meng (JIRA) |
[jira] [Created] (SPARK-15447) Performance test for ALS in Spark 2.0 |
Fri, 20 May, 16:49 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15447) Performance test for ALS in Spark 2.0 |
Fri, 20 May, 16:50 |
| Xiangrui Meng (JIRA) |
[jira] [Commented] (SPARK-14529) Consolidate mllib and mllib-local into one mllib folder |
Wed, 25 May, 05:54 |
| Xiangrui Meng (JIRA) |
[jira] [Closed] (SPARK-15043) Fix and re-enable flaky test: mllib.stat.JavaStatisticsSuite.testCorr |
Wed, 25 May, 06:01 |
| Xiangrui Meng (JIRA) |
[jira] [Updated] (SPARK-15043) Fix and re-enable flaky test: mllib.stat.JavaStatisticsSuite.testCorr |
Wed, 25 May, 06:01 |
| Xiao Li (JIRA) |
[jira] [Commented] (SPARK-14993) Inconsistent behavior of partitioning discovery |
Sun, 01 May, 15:16 |
| Xiao Li (JIRA) |
[jira] [Commented] (SPARK-14974) spark sql job create too many files in HDFS when doing insert overwrite hive table |
Mon, 02 May, 02:58 |
| Xiao Li (JIRA) |
[jira] [Updated] (SPARK-14931) Mismatched default Param values between pipelines in Spark and PySpark |
Mon, 02 May, 03:21 |