maropu commented on issue #25109: [SPARK-28343][SQL][TEST] PostgreSQL test
should enable cartesian product
URL: https://github.com/apache/spark/pull/25109#issuecomment-510356646
ur, looks bad I checkd the reserved keywords in Postgresql again;
https://www.postgresql.org/docs/current/
peter-toth commented on a change in pull request #25029: [SPARK-28228][SQL] Fix
substitution order of nested WITH clauses
URL: https://github.com/apache/spark/pull/25029#discussion_r302389500
##
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CTESubsti
beliefer commented on a change in pull request #25074: [SPARK-27924]Support
ANSI SQL Boolean-Predicate syntax
URL: https://github.com/apache/spark/pull/25074#discussion_r302389418
##
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/booleanExpression
zhengruifeng commented on issue #24793: [SPARK-27944][ML] Unify the behavior of
checking empty output column names
URL: https://github.com/apache/spark/pull/24793#issuecomment-510356140
ping @srowen , would you mind help reviewing this?
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HyukjinKwon commented on a change in pull request #25101:
[SPARK-28277][SQL][PYTHON][TESTS] Convert and port 'except.sql' into UDF test
base
URL: https://github.com/apache/spark/pull/25101#discussion_r302387733
##
File path: sql/core/src/test/resources/sql-tests/inputs/udf/udf-exce
cloud-fan commented on issue #25111: [SPARK-28346][SQL] clone the query plan
between analyzer, optimizer and planner
URL: https://github.com/apache/spark/pull/25111#issuecomment-510354304
cc @hvanhovell @maryannxue @viirya @gatorsmile @HyukjinKwon
-
cloud-fan commented on a change in pull request #25111: [SPARK-28346][SQL]
clone the query plan between analyzer, optimizer and planner
URL: https://github.com/apache/spark/pull/25111#discussion_r302386994
##
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasou
HyukjinKwon commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly
cast into integer/long in udf-aggregates_part1.sql to avoid Python float
limitation
URL: https://github.com/apache/spark/pull/25110#issuecomment-510353989
Yea Let me fix that one while I'm here.
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##
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maropu commented on a change in pull request #25029: [SPARK-28228][SQL] Fix
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Support LIKE ... ESCAPE syntax
URL: https://github.com/apache/spark/pull/25001#discussion_r302386285
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maropu commented on a change in pull request #25029: [SPARK-28228][SQL] Fix
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dongjoon-hyun commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP]
Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python
float limitation
URL: https://github.com/apache/spark/pull/25110#issuecomment-510352914
Nit. Can we use Decimal instead? In case of 'corr', i
cloud-fan opened a new pull request #25111: [SPARK-xxx][SQL] clone the query
plan between analyzer, optimizer and planner
URL: https://github.com/apache/spark/pull/25111
## What changes were proposed in this pull request?
query plan was designed to be immutable, but sometimes we do a
huaxingao commented on a change in pull request #25101:
[SPARK-28277][SQL][PYTHON][TESTS] Convert and port 'except.sql' into UDF test
base
URL: https://github.com/apache/spark/pull/25101#discussion_r302384736
##
File path: sql/core/src/test/resources/sql-tests/inputs/udf/udf-except
huaxingao commented on a change in pull request #25101:
[SPARK-28277][SQL][PYTHON][TESTS] Convert and port 'except.sql' into UDF test
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URL: https://github.com/apache/spark/pull/25101#discussion_r302384711
##
File path: sql/core/src/test/resources/sql-tests/inputs/udf/udf-except
huaxingao commented on a change in pull request #25101:
[SPARK-28277][SQL][PYTHON][TESTS] Convert and port 'except.sql' into UDF test
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URL: https://github.com/apache/spark/pull/25101#discussion_r302384662
##
File path: sql/core/src/test/resources/sql-tests/inputs/udf/udf-except
HyukjinKwon commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly
cast into integer/long in udf-aggregates_part1.sql to avoid Python float
limitation
URL: https://github.com/apache/spark/pull/25110#issuecomment-510352059
I double checked that it works with JDK 11 just for dou
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maropu edited a comment on issue #24860: [SPARK-28034][SQL][TEST] Port with.sql
URL: https://github.com/apache/spark/pull/24860#issuecomment-510350433
~Looks nice, will do now~
oh, @wangyum seems to be working on it.
This i
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Looks nice, will do now
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peter-toth commented on a change in pull request #25029: [SPARK-28228][SQL] Fix
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URL: https://github.com/apache/spark/pull/25029#discussion_r302382497
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maropu commented on a change in pull request #25096: [SPARK-28334][SQL][TEST]
Port select.sql
URL: https://github.com/apache/spark/pull/25096#discussion_r302379700
##
File path: sql/core/src/test/resources/sql-tests/inputs/pgSQL/select.sql
##
@@ -0,0 +1,282 @@
+--
+-- Port
maropu edited a comment on issue #25096: [SPARK-28334][SQL][TEST] Port
select.sql
URL: https://github.com/apache/spark/pull/25096#issuecomment-510344390
I left one comment though, it looks ok to me.
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Port select.sql
URL: https://github.com/apache/spark/pull/25096#discussion_r302379700
##
File path: sql/core/src/test/resources/sql-tests/inputs/pgSQL/select.sql
##
@@ -0,0 +1,282 @@
+--
+-- Port
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HyukjinKwon commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly
cast into integer/long in udf-aggregates_part1.sql to avoid Python float
limitation
URL: https://github.com/apache/spark/pull/25110#issuecomment-510345861
FYI @viirya, @skonto, @imback82, @huaxingao, @vinodkc,
HyukjinKwon commented on issue #25110: [SPARK-28270][SQL][FOLLOW-UP] Explicitly
cast into integer/long in udf-aggregates_part1.sql to avoid Python float
limitation
URL: https://github.com/apache/spark/pull/25110#issuecomment-510345469
cc @dongjoon-hyun
HyukjinKwon opened a new pull request #25110: [SPARK-28270][SQL][FOLLOW-UP]
Explicitly cast into integer/long in udf-aggregates_part1.sql to avoid Python
float limitation
URL: https://github.com/apache/spark/pull/25110
## What changes were proposed in this pull request?
The tests ad
maropu commented on issue #25096: [SPARK-28334][SQL][TEST] Port select.sql
URL: https://github.com/apache/spark/pull/25096#issuecomment-510344390
sure, I'll check
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beliefer commented on a change in pull request #25001: [SPARK-28083][SQL]
Support LIKE ... ESCAPE syntax
URL: https://github.com/apache/spark/pull/25001#discussion_r302342786
##
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/regexpExpressions.scala
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PostgreSQL test should enable cartesian product
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Convert and port 'except-all.sql' into UDF test base
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wangyum commented on issue #25109: [SPARK-28343][SQL][TEST] PostgreSQL test
should enable cartesian product
URL: https://github.com/apache/spark/pull/25109#issuecomment-510341125
@maropu I didn't enable `spark.sql.parser.ansi.enabled` because:
```sql
spark-sql> set spark.sql.parser.an
maropu commented on a change in pull request #25074: [SPARK-27924]Support ANSI
SQL Boolean-Predicate syntax
URL: https://github.com/apache/spark/pull/25074#discussion_r302374072
##
File path:
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dongjoon-hyun commented on issue #25069: [SPARK-28270][SQL][PYTHON] Convert and
port 'pgSQL/aggregates_part1.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25069#issuecomment-510340656
Thanks a lot!
This is
wangyum opened a new pull request #25109: [SPARK-28343][SQL][TEST] PostgreSQL
test should enable cartesian product
URL: https://github.com/apache/spark/pull/25109
## What changes were proposed in this pull request?
This pr enables cartesian product for PostgreSQL test.
## How
SparkQA commented on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested
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HyukjinKwon commented on issue #25069: [SPARK-28270][SQL][PYTHON] Convert and
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URL: https://github.com/apache/spark/pull/25069#issuecomment-510339534
It actually passed in my local as well.. but seems dependent on specific
Python version
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URL: https://github.com/apache/spark/pull/25069#issuecomment-510339155
Ya. Please check locally first because the above report is on JDK11~
-
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Convert and port 'pgSQL/aggregates_part1.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25069#issuecomment-510339155
Thanks. Ya. Please check locally first because the above report is on JDK11~
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AmplabJenkins commented on issue #24637: [SPARK-27707][SQL] Prune unnecessary
nested fields from Generate in explode
URL: https://github.com/apache/spark/pull/24637#issuecomment-510339180
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HyukjinKwon commented on issue #25069: [SPARK-28270][SQL][PYTHON] Convert and
port 'pgSQL/aggregates_part1.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25069#issuecomment-510339061
Will take a look and revert it's going to take longer.
-
HyukjinKwon opened a new pull request #25069: [SPARK-28270][SQL][PYTHON]
Convert and port 'pgSQL/aggregates_part1.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25069
## What changes were proposed in this pull request?
This PR adds some tests converted from `pgSQL/
HyukjinKwon closed pull request #25069: [SPARK-28270][SQL][PYTHON] Convert and
port 'pgSQL/aggregates_part1.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25069
This is an automated message from the Apache
HyukjinKwon commented on issue #25108: [SPARK-28321][SQL] 0-args Java UDF
should not be called only once
URL: https://github.com/apache/spark/pull/25108#issuecomment-510338860
cc @cloud-fan
This is an automated message from t
dongjoon-hyun edited a comment on issue #25069: [SPARK-28270][SQL][PYTHON]
Convert and port 'pgSQL/aggregates_part1.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25069#issuecomment-510338586
Could you investigate this? For the others, this commit is still on testings.
-
dongjoon-hyun commented on issue #25069: [SPARK-28270][SQL][PYTHON] Convert and
port 'pgSQL/aggregates_part1.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25069#issuecomment-510338586
Could you investigate this?
--
HyukjinKwon opened a new pull request #25108: [SPARK-28321][SQL] 0-args Java
UDF should not be called only once
URL: https://github.com/apache/spark/pull/25108
## What changes were proposed in this pull request?
0-args Java UDF alone calls the function even before making it as an
ex
dongjoon-hyun commented on issue #25069: [SPARK-28270][SQL][PYTHON] Convert and
port 'pgSQL/aggregates_part1.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25069#issuecomment-510338469
@HyukjinKwon . This `udf/pgSQL/udf-aggregates_part1.sql - Regular Python
UDF` failed t
maropu commented on a change in pull request #25074: [SPARK-27924]Support ANSI
SQL Boolean-Predicate syntax
URL: https://github.com/apache/spark/pull/25074#discussion_r302371689
##
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/booleanExpressions.
SparkQA commented on issue #25107: [SPARK-28344][SQL] detect ambiguous
self-join and fail the query
URL: https://github.com/apache/spark/pull/25107#issuecomment-510336280
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dongjoon-hyun commented on issue #24637: [SPARK-27707][SQL] Prune unnecessary
nested fields from Generate in explode
URL: https://github.com/apache/spark/pull/24637#issuecomment-510336289
I made a PR to you which reverts all the other benchmark result to the
master and adds the newly added
SparkQA commented on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested
fields from Generate in explode
URL: https://github.com/apache/spark/pull/24637#issuecomment-510336276
**[Test build #107506 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/107506
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