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LGTM except one minor comment.
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--- Diff:
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@@ -309,7 +309,8 @@ class DataFrameReader private[sql](sparkSession:
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@yucai thanks, can you please also add more UTs in order to cover all the
possible cases? Thanks.
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+/*
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@maropu Just want to double check whether all the data types are not
supported before this PR? Have you ran these test cases without the code
changes? After this PR, the error messages are more
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@mgaido91 I update the codes as per your suggestion, thanks!
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@viirya I think`PartitioningCollection` should be considered. Like below
case:
```
spark.conf.set("spark.sql.autoBroadcastJoinThreshold", -1)
spark.conf.set("spark.sql.codegen.wholeStage",
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*
* This method will
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test failure seems to be reported here:
https://issues.apache.org/jira/browse/SPARK-23369
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--- Diff: pom.xml ---
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1.10.19
test
+
--- End diff --
Thanx @ktoso!
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@HyukjinKwon sure, no problem. I'm reading pieces of the source for a
presentation on PySpark and this jumped quickly. I'll try to collect a few more
ð
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@rberenguel, it's okay but mind taking another look around here and see if
there are more typos while we are here? I am pretty sure there are more.
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retest this please
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@felixcheung gentle ping.
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/21529
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