Github user HyukjinKwon commented on the issue:
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@mridulm, I just checked thought the related changes and checked the tests
pass on branch-2.1.
Seems this PR will actually also allow the cases below:
```scala
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We may need to document this change in `Migration Guide` in SQL programming
guide.
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--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/StatisticsSuite.scala ---
@@ -937,26 +937,22 @@ class StatisticsSuite extends
GitHub user dongjoon-hyun opened a pull request:
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[SPARK-22280][SQL][TEST] Improve StatisticsSuite to test `convertMetastore`
properly
## What changes were proposed in this pull request?
This PR aims to improve **StatisticsSuite**
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LGTM with few minor comments.
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--- Diff: python/pyspark/sql/session.py ---
@@ -414,6 +415,43 @@ def _createFromLocal(self, data, schema):
data = [schema.toInternal(row) for
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--- Diff: python/pyspark/sql/session.py ---
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data = [schema.toInternal(row) for
Github user BryanCutler commented on the issue:
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Thanks for the reviews @ueshin and @HyukjinKwon! I added `to_arrow_schema`
conversion for when a schema is passed into `createDataFrame` and added some
new tests to verify it. Please take
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[SPARK-22279][SQL][WIP] Turn on spark.sql.hive.convertMetastoreOrc by
default
## What changes were proposed in this pull request?
Like Parquet, this PR aims to turn on
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Github user jomach commented on the issue:
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Ok so I will do:
- Create a new Section for csv-datasets
- add more example options on the code fromJavaSQLDataSourceExample.java
(.scala .py and .r)
- Make reference to the links
Github user HyukjinKwon commented on the issue:
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Thanks for taking a look for this one. Actually, I thought we should add a
chapter like
http://spark.apache.org/docs/latest/sql-programming-guide.html#json-datasets
And, add a link to,
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Hi @zsxwing, I happened to look into this one. Could you take a look and
see if it makes sense please?
cc @zero323 (reporter) too.
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[SPARK-17756][PYTHON][STREAMING] Workaround to avoid return type mismatch
in PythonTransformFunction
## What changes were proposed in this pull request?
This PR proposes to wrap the
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@MLnick Can you take a look and give me some suggestion? Thanks.
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[SPARK-8515][ML][WIP] Improve ML Attribute API
## What changes were proposed in this pull request?
The current ML attribute API has issues like inefficiency and not easy to
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--- Diff:
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@@ -104,7 +104,8 @@ case class
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--- Diff: docs/configuration.md ---
@@ -2013,7 +2013,6 @@ Apart from these, the following properties are also
available, and may be useful
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--- Diff: docs/security.md ---
@@ -186,7 +186,52 @@ configure those ports.
+### HTTP Security Headers
+
+Apache Spark can be
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--- Diff:
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@@ -80,7 +80,8 @@ case class Average(child:
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--- Diff: core/src/test/scala/org/apache/spark/FileSuite.scala ---
@@ -510,4 +510,83 @@ class FileSuite extends SparkFunSuite with
LocalSparkContext {
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@tejasapatil I updated performance results for operations that more used.
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ok to test
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Let me take a look with few tests and be back. Also I think I should cc
@jiangxb1987 too.
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retest this please
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https://github.com/apache/spark/pull/19491
Thanks! Merged to master/2.2
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Github user mridulm commented on the issue:
https://github.com/apache/spark/pull/19497
+CC @HyukjinKwon, @steveloughran
Sorry for messing up PR #19487
The only change in this PR is to use `::invalid::` instead of `test:` in
the test to address @steveloughran's comment.
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