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--- Diff: sql/core/src/test/resources/sql-tests/inputs/json-functions.sql
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@@ -39,3 +39,8 @@ select from_json('{"a":1, "b":"2"}',
'struct');
--
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Nice! Thanks for getting that running @shaneknapp . So what are peoples
thoughts about merging this for 2.4 since it passes normal tests with pyarrow
0.8.0 and we've also shown it passes with 0
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[SPARK-25095][PySpark] Python support for BarrierTaskContext
## What changes were proposed in this pull request?
Add method `barrier()` and `getTaskInfos()` in python TaskContext, these
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[SPARK-25025][BUILD] Binary releases should contain some copy of compiled
external integration modules
## What changes were proposed in this pull request?
Copy external/ modules' JAR files
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I'm going to merge this, as the additional example quoted above should
actually work, assuming one imported the 'col' function. In Java,
`people("foo")` would be wrong but `col("foo")` is not (necess
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Hm @steveloughran looks like the Kinesis tests fail reliably. That makes me
suspicious that jets3t is needed, given that's the AWS dependency here. WDYT?
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--- Diff: pom.xml ---
@@ -984,24 +987,15 @@
-
+
-net.java.dev.jets3t
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--- Diff: python/pyspark/ml/tests.py ---
@@ -950,6 +950,13 @@ def test_fit_maximize_metric(self):
"Best model should have z
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Hm, why
https://github.com/apache/spark/pull/20838/commits/b178587909be038b8bc5c7254fb2a384ae61a7e4
was reverted?
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We shall also include #20088 in this backport PR.
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I am just worried/concerned by the performance regression this might
introduce in the case the table is made of many files. Can we have a benchmark
using different file system (at least HDFS, S3) w
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Thanks @wangyum for triggerring test again and again. Now all tests passed,
cc @cloud-fan @gatorsmile @jerryshao
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--- Diff: core/src/main/scala/org/apache/spark/rdd/RDD.scala ---
@@ -396,7 +396,16 @@ abstract class RDD[T: ClassTag](
* Return a new RDD containing
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[SQL][Test][Minor] Add missing codes to
ParquetCompressionCodecPrecedenceSuite
## What changes were proposed in this pull request?
This PR adds codes to ``"Test `spark.sql.parquet.compressio
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retest this please.
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