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| author | Sean Zhong <seanzhong@databricks.com> | 2016-06-14 09:10:27 -0700 |
|---|---|---|
| committer | Yin Huai <yhuai@databricks.com> | 2016-06-14 09:10:27 -0700 |
| commit | 6e8cdef0cf36f6e921d9e1a65c61b66196935820 (patch) | |
| tree | a15e8367d45bcac6308703b35453f7cafece9a7e /project | |
| parent | 53bb03084796231f724ff8369490df520e1ee33c (diff) | |
| download | spark-6e8cdef0cf36f6e921d9e1a65c61b66196935820.tar.gz spark-6e8cdef0cf36f6e921d9e1a65c61b66196935820.tar.bz2 spark-6e8cdef0cf36f6e921d9e1a65c61b66196935820.zip | |
[SPARK-15914][SQL] Add deprecated method back to SQLContext for backward source code compatibility
## What changes were proposed in this pull request?
Revert partial changes in SPARK-12600, and add some deprecated method back to SQLContext for backward source code compatibility.
## How was this patch tested?
Manual test.
Author: Sean Zhong <seanzhong@databricks.com>
Closes #13637 from clockfly/SPARK-15914.
Diffstat (limited to 'project')
| -rw-r--r-- | project/MimaExcludes.scala | 9 |
1 files changed, 9 insertions, 0 deletions
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala index 9d0d9b1be0..a6209d78e1 100644 --- a/project/MimaExcludes.scala +++ b/project/MimaExcludes.scala @@ -778,6 +778,15 @@ object MimaExcludes { ) ++ Seq( ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.mllib.linalg.Vector.asBreeze"), ProblemFilters.exclude[ReversedMissingMethodProblem]("org.apache.spark.mllib.linalg.Matrix.asBreeze") + ) ++ Seq( + // [SPARK-15914] Binary compatibility is broken since consolidation of Dataset and DataFrame + // in Spark 2.0. However, source level compatibility is still maintained. + ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.load"), + ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.jsonRDD"), + ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.jsonFile"), + ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.jdbc"), + ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.parquetFile"), + ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.applySchema") ) case v if v.startsWith("1.6") => Seq( |