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@gatorsmile unfortunately, this is still failing:
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--- Diff:
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--- Diff: python/pyspark/context.py ---
@@ -1023,6 +1032,35 @@ def getConf(self):
conf.setAll(self._conf.getAll())
return conf
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--- Diff: python/pyspark/sql/group.py ---
@@ -233,6 +233,27 @@ def apply(self, udf):
| 2| 1.1094003924504583|
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@@ -313,35 +316,68 @@ private class LiveExecutor(val executorId: String,
_addTi
Github user JoshRosen commented on the issue:
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jenkins retest this please
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LGTM, merging to master/2.3!
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thanks, merging to master/2.3!
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Github user cloud-fan commented on the issue:
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show binary as string and cast binary to string seems different to me,
let's stick with what it is. BTW it's pretty dangerous to change the behavior
of cast to be different with Hive.
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Github user maropu commented on the issue:
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ok, I'll make a follow-up for `showString` later.
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retest this please
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[SPARK-23023][SQL] Cast field data to strings in showString
## What changes were proposed in this pull request?
The current `Datset.showString` prints rows thru `RowEncoder` deserializers
like;
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argh, thanks for the reminder and the fix.
I knew calling internal method is going to bite us ... :(
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why it's still WIP?
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--- Diff: python/pyspark/sql/tests.py ---
@@ -3616,6 +3616,34 @@ def test_vectorized_udf_basic(self):
bool_f(col('bool')))
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Github user dongjoon-hyun commented on the issue:
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Ur, originally, it's not accepted by @gatorsmile due to lack of test cases.
So, Today, I reopen it for testing purpose.
Do you think we can enable it? I think we can.
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Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/tests.py ---
@@ -3995,23 +3995,49 @@ def test_coerce(self):
self.assertFramesEqual(expected, result)
Github user xuanyuanking commented on the issue:
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Hi Shixiong, thanks a lot for your reply.
The full stack below can reproduce by running the added UT based on
original code base.
```
Assert on query failed: : Query [id = 3421db21-6
GitHub user gatorsmile opened a pull request:
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[SPARK-23001] [SQL] Fix NullPointerException when DESC a database with NULL
description
## What changes were proposed in this pull request?
When users' DB description is NULL, users might hi
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I expect we can port more test cases to Spark, instead of relying on the
external data sources.
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Any perf number ?
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# TODO:
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Thanks! merging to master/2.3.
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retest this please
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