[GitHub] [spark] SparkQA removed a comment on issue #25093: [SPARK-28281][SQL][PYTHON][TESTS]Convert and port 'having.sql' into UDF test base

2019-07-10 Thread GitBox
SparkQA removed a comment on issue #25093: 
[SPARK-28281][SQL][PYTHON][TESTS]Convert and port 'having.sql' into UDF test 
base
URL: https://github.com/apache/spark/pull/25093#issuecomment-509929913
 
 
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[GitHub] [spark] SparkQA commented on issue #25093: [SPARK-28281][SQL][PYTHON][TESTS]Convert and port 'having.sql' into UDF test base

2019-07-10 Thread GitBox
SparkQA commented on issue #25093: [SPARK-28281][SQL][PYTHON][TESTS]Convert and 
port 'having.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25093#issuecomment-509937182
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #25093: [SPARK-28281][SQL][PYTHON][TESTS]Convert and port 'having.sql' into UDF test base

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[GitHub] [spark] SparkQA commented on issue #25071: [SPARK-28292][SQL] Enable inject user-defined Hint

2019-07-10 Thread GitBox
SparkQA commented on issue #25071: [SPARK-28292][SQL] Enable inject 
user-defined Hint
URL: https://github.com/apache/spark/pull/25071#issuecomment-509937179
 
 
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[GitHub] [spark] SparkQA commented on issue #25074: [SPARK-27924]Support ANSI SQL Boolean-Predicate syntax

2019-07-10 Thread GitBox
SparkQA commented on issue #25074: [SPARK-27924]Support ANSI SQL 
Boolean-Predicate syntax 
URL: https://github.com/apache/spark/pull/25074#issuecomment-509937178
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #25093: [SPARK-28281][SQL][PYTHON][TESTS]Convert and port 'having.sql' into UDF test base

2019-07-10 Thread GitBox
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[SPARK-28281][SQL][PYTHON][TESTS]Convert and port 'having.sql' into UDF test 
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[GitHub] [spark] SparkQA commented on issue #25091: [SPARK-28323][SQL][Python] PythonUDF should be able to use in join condition

2019-07-10 Thread GitBox
SparkQA commented on issue #25091: [SPARK-28323][SQL][Python] PythonUDF should 
be able to use in join condition
URL: https://github.com/apache/spark/pull/25091#issuecomment-509937180
 
 
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[GitHub] [spark] SparkQA commented on issue #25090: [SPARK-28278][SQL][PYTHON][TESTS] Convert and port 'except-all.sql' into UDF test base

2019-07-10 Thread GitBox
SparkQA commented on issue #25090: [SPARK-28278][SQL][PYTHON][TESTS] Convert 
and port 'except-all.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25090#issuecomment-509937185
 
 
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[GitHub] [spark] SparkQA commented on issue #25000: [SPARK-28107][SQL] Support 'DAY TO (HOUR|MINUTE|SECOND)', 'HOUR TO (MINUTE|SECOND)' and 'MINUTE TO SECOND'

2019-07-10 Thread GitBox
SparkQA commented on issue #25000: [SPARK-28107][SQL] Support 'DAY TO 
(HOUR|MINUTE|SECOND)', 'HOUR TO (MINUTE|SECOND)' and 'MINUTE TO SECOND'
URL: https://github.com/apache/spark/pull/25000#issuecomment-509937186
 
 
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[GitHub] [spark] SparkQA commented on issue #25092: [SPARK-28312][SQL][TEST] Port numeric.sql

2019-07-10 Thread GitBox
SparkQA commented on issue #25092: [SPARK-28312][SQL][TEST] Port numeric.sql
URL: https://github.com/apache/spark/pull/25092#issuecomment-509937183
 
 
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[GitHub] [spark] SparkQA commented on issue #25000: [SPARK-28107][SQL] Support 'DAY TO (HOUR|MINUTE|SECOND)', 'HOUR TO (MINUTE|SECOND)' and 'MINUTE TO SECOND'

2019-07-10 Thread GitBox
SparkQA commented on issue #25000: [SPARK-28107][SQL] Support 'DAY TO 
(HOUR|MINUTE|SECOND)', 'HOUR TO (MINUTE|SECOND)' and 'MINUTE TO SECOND'
URL: https://github.com/apache/spark/pull/25000#issuecomment-509937177
 
 
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[GitHub] [spark] SparkQA commented on issue #24931: [SPARK-28129][SQL][TEST] Port float8.sql

2019-07-10 Thread GitBox
SparkQA commented on issue #24931: [SPARK-28129][SQL][TEST] Port float8.sql
URL: https://github.com/apache/spark/pull/24931#issuecomment-509937181
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #25092: [SPARK-28312][SQL][TEST] Port numeric.sql

2019-07-10 Thread GitBox
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[GitHub] [spark] AmplabJenkins commented on issue #24931: [SPARK-28129][SQL][TEST] Port float8.sql

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[GitHub] [spark] AmplabJenkins commented on issue #25092: [SPARK-28312][SQL][TEST] Port numeric.sql

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[GitHub] [spark] AmplabJenkins commented on issue #24931: [SPARK-28129][SQL][TEST] Port float8.sql

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[GitHub] [spark] AmplabJenkins commented on issue #25000: [SPARK-28107][SQL] Support 'DAY TO (HOUR|MINUTE|SECOND)', 'HOUR TO (MINUTE|SECOND)' and 'MINUTE TO SECOND'

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[GitHub] [spark] AmplabJenkins commented on issue #25000: [SPARK-28107][SQL] Support 'DAY TO (HOUR|MINUTE|SECOND)', 'HOUR TO (MINUTE|SECOND)' and 'MINUTE TO SECOND'

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[GitHub] [spark] SparkQA removed a comment on issue #25074: [SPARK-27924]Support ANSI SQL Boolean-Predicate syntax

2019-07-10 Thread GitBox
SparkQA removed a comment on issue #25074: [SPARK-27924]Support ANSI SQL 
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[GitHub] [spark] AmplabJenkins commented on issue #25090: [SPARK-28278][SQL][PYTHON][TESTS] Convert and port 'except-all.sql' into UDF test base

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[GitHub] [spark] SparkQA removed a comment on issue #24931: [SPARK-28129][SQL][TEST] Port float8.sql

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25000: [SPARK-28107][SQL] Support 'DAY TO (HOUR|MINUTE|SECOND)', 'HOUR TO (MINUTE|SECOND)' and 'MINUTE TO SECOND'

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[GitHub] [spark] SparkQA removed a comment on issue #25090: [SPARK-28278][SQL][PYTHON][TESTS] Convert and port 'except-all.sql' into UDF test base

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SparkQA removed a comment on issue #25090: [SPARK-28278][SQL][PYTHON][TESTS] 
Convert and port 'except-all.sql' into UDF test base
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[GitHub] [spark] AmplabJenkins commented on issue #25090: [SPARK-28278][SQL][PYTHON][TESTS] Convert and port 'except-all.sql' into UDF test base

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[GitHub] [spark] SparkQA removed a comment on issue #25071: [SPARK-28292][SQL] Enable inject user-defined Hint

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[GitHub] [spark] wangyum commented on issue #25092: [SPARK-28312][SQL][TEST] Port numeric.sql

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wangyum commented on issue #25092: [SPARK-28312][SQL][TEST] Port numeric.sql
URL: https://github.com/apache/spark/pull/25092#issuecomment-509940355
 
 
   retest this please


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[GitHub] [spark] wangyum commented on issue #24931: [SPARK-28129][SQL][TEST] Port float8.sql

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wangyum commented on issue #24931: [SPARK-28129][SQL][TEST] Port float8.sql
URL: https://github.com/apache/spark/pull/24931#issuecomment-509940478
 
 
   retest this please


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[GitHub] [spark] viirya commented on issue #25091: [SPARK-28323][SQL][Python] PythonUDF should be able to use in join condition

2019-07-10 Thread GitBox
viirya commented on issue #25091: [SPARK-28323][SQL][Python] PythonUDF should 
be able to use in join condition
URL: https://github.com/apache/spark/pull/25091#issuecomment-509946796
 
 
   retest this please.


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[GitHub] [spark] SparkQA commented on issue #25091: [SPARK-28323][SQL][Python] PythonUDF should be able to use in join condition

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[GitHub] [spark] wangyum commented on a change in pull request #25092: [SPARK-28312][SQL][TEST] Port numeric.sql

2019-07-10 Thread GitBox
wangyum commented on a change in pull request #25092: [SPARK-28312][SQL][TEST] 
Port numeric.sql
URL: https://github.com/apache/spark/pull/25092#discussion_r301895001
 
 

 ##
 File path: sql/core/src/test/resources/sql-tests/inputs/pgSQL/numeric.sql
 ##
 @@ -0,0 +1,1098 @@
+--
+-- Portions Copyright (c) 1996-2019, PostgreSQL Global Development Group
+--
+--
+-- NUMERIC
+-- 
https://github.com/postgres/postgres/blob/REL_12_BETA1/src/test/regress/sql/numeric.sql
+--
+-- This test suite contains eight Cartesian products without using explicit 
CROSS JOIN syntax.
+-- Thus, we set spark.sql.crossJoin.enabled to true.
+set spark.sql.crossJoin.enabled=true;
+
+CREATE TABLE num_data (id int, val decimal(38,10)) USING parquet;
+CREATE TABLE num_exp_add (id1 int, id2 int, expected decimal(38,10)) USING 
parquet;
+CREATE TABLE num_exp_sub (id1 int, id2 int, expected decimal(38,10)) USING 
parquet;
+CREATE TABLE num_exp_div (id1 int, id2 int, expected decimal(38,10)) USING 
parquet;
+CREATE TABLE num_exp_mul (id1 int, id2 int, expected decimal(38,10)) USING 
parquet;
+CREATE TABLE num_exp_sqrt (id int, expected decimal(38,10)) USING parquet;
+CREATE TABLE num_exp_ln (id int, expected decimal(38,10)) USING parquet;
+CREATE TABLE num_exp_log10 (id int, expected decimal(38,10)) USING parquet;
+CREATE TABLE num_exp_power_10_ln (id int, expected decimal(38,10)) USING 
parquet;
+
+CREATE TABLE num_result (id1 int, id2 int, result decimal(38,10)) USING 
parquet;
+
+
+-- **
+-- * The following EXPECTED results are computed by bc(1)
+-- * with a scale of 200
+-- **
+
+-- BEGIN TRANSACTION;
+INSERT INTO num_exp_add VALUES (0,0,'0');
+INSERT INTO num_exp_sub VALUES (0,0,'0');
+INSERT INTO num_exp_mul VALUES (0,0,'0');
+INSERT INTO num_exp_div VALUES (0,0,'NaN');
+INSERT INTO num_exp_add VALUES (0,1,'0');
+INSERT INTO num_exp_sub VALUES (0,1,'0');
+INSERT INTO num_exp_mul VALUES (0,1,'0');
+INSERT INTO num_exp_div VALUES (0,1,'NaN');
+INSERT INTO num_exp_add VALUES (0,2,'-34338492.215397047');
+INSERT INTO num_exp_sub VALUES (0,2,'34338492.215397047');
+INSERT INTO num_exp_mul VALUES (0,2,'0');
+INSERT INTO num_exp_div VALUES (0,2,'0');
+INSERT INTO num_exp_add VALUES (0,3,'4.31');
+INSERT INTO num_exp_sub VALUES (0,3,'-4.31');
+INSERT INTO num_exp_mul VALUES (0,3,'0');
+INSERT INTO num_exp_div VALUES (0,3,'0');
+INSERT INTO num_exp_add VALUES (0,4,'7799461.4119');
+INSERT INTO num_exp_sub VALUES (0,4,'-7799461.4119');
+INSERT INTO num_exp_mul VALUES (0,4,'0');
+INSERT INTO num_exp_div VALUES (0,4,'0');
+INSERT INTO num_exp_add VALUES (0,5,'16397.038491');
+INSERT INTO num_exp_sub VALUES (0,5,'-16397.038491');
+INSERT INTO num_exp_mul VALUES (0,5,'0');
+INSERT INTO num_exp_div VALUES (0,5,'0');
+INSERT INTO num_exp_add VALUES (0,6,'93901.57763026');
+INSERT INTO num_exp_sub VALUES (0,6,'-93901.57763026');
+INSERT INTO num_exp_mul VALUES (0,6,'0');
+INSERT INTO num_exp_div VALUES (0,6,'0');
+INSERT INTO num_exp_add VALUES (0,7,'-83028485');
+INSERT INTO num_exp_sub VALUES (0,7,'83028485');
+INSERT INTO num_exp_mul VALUES (0,7,'0');
+INSERT INTO num_exp_div VALUES (0,7,'0');
+INSERT INTO num_exp_add VALUES (0,8,'74881');
+INSERT INTO num_exp_sub VALUES (0,8,'-74881');
+INSERT INTO num_exp_mul VALUES (0,8,'0');
+INSERT INTO num_exp_div VALUES (0,8,'0');
+INSERT INTO num_exp_add VALUES (0,9,'-24926804.045047420');
+INSERT INTO num_exp_sub VALUES (0,9,'24926804.045047420');
+INSERT INTO num_exp_mul VALUES (0,9,'0');
+INSERT INTO num_exp_div VALUES (0,9,'0');
+INSERT INTO num_exp_add VALUES (1,0,'0');
+INSERT INTO num_exp_sub VALUES (1,0,'0');
+INSERT INTO num_exp_mul VALUES (1,0,'0');
+INSERT INTO num_exp_div VALUES (1,0,'NaN');
+INSERT INTO num_exp_add VALUES (1,1,'0');
+INSERT INTO num_exp_sub VALUES (1,1,'0');
+INSERT INTO num_exp_mul VALUES (1,1,'0');
+INSERT INTO num_exp_div VALUES (1,1,'NaN');
+INSERT INTO num_exp_add VALUES (1,2,'-34338492.215397047');
+INSERT INTO num_exp_sub VALUES (1,2,'34338492.215397047');
+INSERT INTO num_exp_mul VALUES (1,2,'0');
+INSERT INTO num_exp_div VALUES (1,2,'0');
+INSERT INTO num_exp_add VALUES (1,3,'4.31');
+INSERT INTO num_exp_sub VALUES (1,3,'-4.31');
+INSERT INTO num_exp_mul VALUES (1,3,'0');
+INSERT INTO num_exp_div VALUES (1,3,'0');
+INSERT INTO num_exp_add VALUES (1,4,'7799461.4119');
+INSERT INTO num_exp_sub VALUES (1,4,'-7799461.4119');
+INSERT INTO num_exp_mul VALUES (1,4,'0');
+INSERT INTO num_exp_div VALUES (1,4,'0');
+INSERT INTO num_exp_add VALUES (1,5,'16397.038491');
+INSERT INTO num_exp_sub VALUES (1,5,'-16397.038491');
+INSERT INTO num_exp_mul VALUES (1,5,'0');
+INSERT INTO num_exp_div VALUES (1,5,'0');
+INSERT INTO num_exp_add VALUES (1,6,'93901.57763026');
+INSERT INTO num_exp_sub VALUES (1,6,'-93901.57763026');
+INSERT INTO num_exp_mul VALUES (1,6,'0');
+INSERT INTO num_exp_div VALUES (1,6,'0');
+INSERT INTO num_exp_add VALUES (1,7,'-83028485');
+INSERT INTO num_exp_sub VALUES (1,7,'83028485');
+INSERT 

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25082: [SPARK-28310][SQL] Support ANSI SQL grammar:first_value/last_value(expression, [ignore/respect nulls])

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[GitHub] [spark] SparkQA commented on issue #25082: [SPARK-28310][SQL] Support ANSI SQL grammar:first_value/last_value(expression, [ignore/respect nulls])

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SparkQA commented on issue #25082: [SPARK-28310][SQL] Support ANSI SQL 
grammar:first_value/last_value(expression, [ignore/respect nulls])
URL: https://github.com/apache/spark/pull/25082#issuecomment-509950987
 
 
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[GitHub] [spark] cloud-fan commented on issue #24768: [SPARK-27919][SQL] Add v2 session catalog

2019-07-10 Thread GitBox
cloud-fan commented on issue #24768: [SPARK-27919][SQL] Add v2 session catalog
URL: https://github.com/apache/spark/pull/24768#issuecomment-509952135
 
 
   @rdblue I've created a PR for your branch to remove the session catalog 
config. Can you take a look? It passes all tests locally. 
https://github.com/rdblue/spark/pull/7


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[GitHub] [spark] wangyum commented on issue #25093: [SPARK-28281][SQL][PYTHON][TESTS]Convert and port 'having.sql' into UDF test base

2019-07-10 Thread GitBox
wangyum commented on issue #25093: [SPARK-28281][SQL][PYTHON][TESTS]Convert and 
port 'having.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25093#issuecomment-509952964
 
 
   retest this please


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[GitHub] [spark] beliefer commented on issue #25074: [SPARK-27924]Support ANSI SQL Boolean-Predicate syntax

2019-07-10 Thread GitBox
beliefer commented on issue #25074: [SPARK-27924]Support ANSI SQL 
Boolean-Predicate syntax 
URL: https://github.com/apache/spark/pull/25074#issuecomment-509953635
 
 
   Retest this please.


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[GitHub] [spark] SparkQA commented on issue #25093: [SPARK-28281][SQL][PYTHON][TESTS]Convert and port 'having.sql' into UDF test base

2019-07-10 Thread GitBox
SparkQA commented on issue #25093: [SPARK-28281][SQL][PYTHON][TESTS]Convert and 
port 'having.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25093#issuecomment-509953773
 
 
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[GitHub] [spark] SparkQA commented on issue #25053: [SPARK-28252][SQL] local/global temp views should not accept duplicate column names

2019-07-10 Thread GitBox
SparkQA commented on issue #25053: [SPARK-28252][SQL] local/global temp views 
should not accept duplicate column names
URL: https://github.com/apache/spark/pull/25053#issuecomment-509953784
 
 
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[GitHub] [spark] wangyum commented on issue #25053: [SPARK-28252][SQL] local/global temp views should not accept duplicate column names

2019-07-10 Thread GitBox
wangyum commented on issue #25053: [SPARK-28252][SQL] local/global temp views 
should not accept duplicate column names
URL: https://github.com/apache/spark/pull/25053#issuecomment-509954776
 
 
   PostgreSQL also does not accept duplicate column names:
   ```sql
   postgres=# CREATE TEMPORARY VIEW spark_28252 as select 1 as c1, 2 as c1;
   ERROR:  column "c1" specified more than once
   ```


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[GitHub] [spark] wangyum commented on a change in pull request #25053: [SPARK-28252][SQL] local/global temp views should not accept duplicate column names

2019-07-10 Thread GitBox
wangyum commented on a change in pull request #25053: [SPARK-28252][SQL] 
local/global temp views should not accept duplicate column names
URL: https://github.com/apache/spark/pull/25053#discussion_r301932329
 
 

 ##
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/execution/GlobalTempViewSuite.scala
 ##
 @@ -170,4 +170,14 @@ class GlobalTempViewSuite extends QueryTest with 
SharedSQLContext {
 isTemporary = true).toString)
 }
   }
+
+  test("Create global temp view with duplicate column name") {
+withGlobalTempView("src") {
+  val e = intercept[AnalysisException]{
+sql("CREATE GLOBAL TEMP VIEW src AS SELECT 1 as a, 2 as a")
+  }
+  assert(e.getMessage.contains("Found duplicate column(s)"))
+  sql("CREATE GLOBAL TEMP VIEW src AS SELECT 1 as a, 2 as b")
+}
+  }
 
 Review comment:
   Fixed.


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[GitHub] [spark] AmplabJenkins commented on issue #25074: [SPARK-27924]Support ANSI SQL Boolean-Predicate syntax

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[GitHub] [spark] AmplabJenkins commented on issue #25093: [SPARK-28281][SQL][PYTHON][TESTS]Convert and port 'having.sql' into UDF test base

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