spark-instrumented-optimizer/sql/core
Stavros Kontopoulos ec84415358 [SPARK-28280][PYTHON][SQL][TESTS][FOLLOW-UP] Add UDF cases into group by clause in 'udf-group-by.sql'
## What changes were proposed in this pull request?
This PR is a followup of a fix as described in here: https://github.com/apache/spark/pull/25215#issuecomment-517659981

<details><summary>Diff comparing to 'group-by.sql'</summary>
<p>

```diff
diff --git a/sql/core/src/test/resources/sql-tests/results/udf/udf-group-by.sql.out b/sql/core/src/test/resources/sql-tests/results/udf/udf-group-by.sql.out
index 3a5df254f2..febe47b5ba 100644
--- a/sql/core/src/test/resources/sql-tests/results/udf/udf-group-by.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/udf/udf-group-by.sql.out
 -13,26 +13,26  struct<>

 -- !query 1
-SELECT a, COUNT(b) FROM testData
+SELECT udf(a), udf(COUNT(b)) FROM testData
 -- !query 1 schema
 struct<>
 -- !query 1 output
 org.apache.spark.sql.AnalysisException
-grouping expressions sequence is empty, and 'testdata.`a`' is not an aggregate function. Wrap '(count(testdata.`b`) AS `count(b)`)' in windowing function(s) or wrap 'testdata.`a`' in first() (or first_value) if you don't care which value you get.;
+grouping expressions sequence is empty, and 'testdata.`a`' is not an aggregate function. Wrap '(CAST(udf(cast(count(b) as string)) AS BIGINT) AS `CAST(udf(cast(count(b) as string)) AS BIGINT)`)' in windowing function(s) or wrap 'testdata.`a`' in first() (or first_value) if you don't care which value you get.;

 -- !query 2
-SELECT COUNT(a), COUNT(b) FROM testData
+SELECT COUNT(udf(a)), udf(COUNT(b)) FROM testData
 -- !query 2 schema
-struct<count(a):bigint,count(b):bigint>
+struct<count(CAST(udf(cast(a as string)) AS INT)):bigint,CAST(udf(cast(count(b) as string)) AS BIGINT):bigint>
 -- !query 2 output
 7	7

 -- !query 3
-SELECT a, COUNT(b) FROM testData GROUP BY a
+SELECT udf(a), COUNT(udf(b)) FROM testData GROUP BY a
 -- !query 3 schema
-struct<a:int,count(b):bigint>
+struct<CAST(udf(cast(a as string)) AS INT):int,count(CAST(udf(cast(b as string)) AS INT)):bigint>
 -- !query 3 output
 1	2
 2	2
 -41,7 +41,7  NULL	1

 -- !query 4
-SELECT a, COUNT(b) FROM testData GROUP BY b
+SELECT udf(a), udf(COUNT(udf(b))) FROM testData GROUP BY b
 -- !query 4 schema
 struct<>
 -- !query 4 output
 -50,9 +50,9  expression 'testdata.`a`' is neither present in the group by, nor is it an aggre

 -- !query 5
-SELECT COUNT(a), COUNT(b) FROM testData GROUP BY a
+SELECT COUNT(udf(a)), COUNT(udf(b)) FROM testData GROUP BY udf(a)
 -- !query 5 schema
-struct<count(a):bigint,count(b):bigint>
+struct<count(CAST(udf(cast(a as string)) AS INT)):bigint,count(CAST(udf(cast(b as string)) AS INT)):bigint>
 -- !query 5 output
 0	1
 2	2
 -61,15 +61,15  struct<count(a):bigint,count(b):bigint>

 -- !query 6
-SELECT 'foo', COUNT(a) FROM testData GROUP BY 1
+SELECT 'foo', COUNT(udf(a)) FROM testData GROUP BY 1
 -- !query 6 schema
-struct<foo:string,count(a):bigint>
+struct<foo:string,count(CAST(udf(cast(a as string)) AS INT)):bigint>
 -- !query 6 output
 foo	7

 -- !query 7
-SELECT 'foo' FROM testData WHERE a = 0 GROUP BY 1
+SELECT 'foo' FROM testData WHERE a = 0 GROUP BY udf(1)
 -- !query 7 schema
 struct<foo:string>
 -- !query 7 output
 -77,25 +77,25  struct<foo:string>

 -- !query 8
-SELECT 'foo', APPROX_COUNT_DISTINCT(a) FROM testData WHERE a = 0 GROUP BY 1
+SELECT 'foo', udf(APPROX_COUNT_DISTINCT(udf(a))) FROM testData WHERE a = 0 GROUP BY udf(1)
 -- !query 8 schema
-struct<foo:string,approx_count_distinct(a):bigint>
+struct<foo:string,CAST(udf(cast(approx_count_distinct(cast(udf(cast(a as string)) as int), 0.05, 0, 0) as string)) AS BIGINT):bigint>
 -- !query 8 output

 -- !query 9
-SELECT 'foo', MAX(STRUCT(a)) FROM testData WHERE a = 0 GROUP BY 1
+SELECT 'foo', MAX(STRUCT(udf(a))) FROM testData WHERE a = 0 GROUP BY udf(1)
 -- !query 9 schema
-struct<foo:string,max(named_struct(a, a)):struct<a:int>>
+struct<foo:string,max(named_struct(col1, CAST(udf(cast(a as string)) AS INT))):struct<col1:int>>
 -- !query 9 output

 -- !query 10
-SELECT a + b, COUNT(b) FROM testData GROUP BY a + b
+SELECT udf(a + b), udf(COUNT(b)) FROM testData GROUP BY a + b
 -- !query 10 schema
-struct<(a + b):int,count(b):bigint>
+struct<CAST(udf(cast((a + b) as string)) AS INT):int,CAST(udf(cast(count(b) as string)) AS BIGINT):bigint>
 -- !query 10 output
 2	1
 3	2
 -105,7 +105,7  NULL	1

 -- !query 11
-SELECT a + 2, COUNT(b) FROM testData GROUP BY a + 1
+SELECT udf(a + 2), udf(COUNT(b)) FROM testData GROUP BY a + 1
 -- !query 11 schema
 struct<>
 -- !query 11 output
 -114,9 +114,9  expression 'testdata.`a`' is neither present in the group by, nor is it an aggre

 -- !query 12
-SELECT a + 1 + 1, COUNT(b) FROM testData GROUP BY a + 1
+SELECT udf(a + 1) + 1, udf(COUNT(b)) FROM testData GROUP BY udf(a + 1)
 -- !query 12 schema
-struct<((a + 1) + 1):int,count(b):bigint>
+struct<(CAST(udf(cast((a + 1) as string)) AS INT) + 1):int,CAST(udf(cast(count(b) as string)) AS BIGINT):bigint>
 -- !query 12 output
 3	2
 4	2
 -125,26 +125,26  NULL	1

 -- !query 13
-SELECT SKEWNESS(a), KURTOSIS(a), MIN(a), MAX(a), AVG(a), VARIANCE(a), STDDEV(a), SUM(a), COUNT(a)
+SELECT SKEWNESS(udf(a)), udf(KURTOSIS(a)), udf(MIN(a)), MAX(udf(a)), udf(AVG(udf(a))), udf(VARIANCE(a)), STDDEV(udf(a)), udf(SUM(a)), udf(COUNT(a))
 FROM testData
 -- !query 13 schema
-struct<skewness(CAST(a AS DOUBLE)):double,kurtosis(CAST(a AS DOUBLE)):double,min(a):int,max(a):int,avg(a):double,var_samp(CAST(a AS DOUBLE)):double,stddev_samp(CAST(a AS DOUBLE)):double,sum(a):bigint,count(a):bigint>
+struct<skewness(CAST(CAST(udf(cast(a as string)) AS INT) AS DOUBLE)):double,CAST(udf(cast(kurtosis(cast(a as double)) as string)) AS DOUBLE):double,CAST(udf(cast(min(a) as string)) AS INT):int,max(CAST(udf(cast(a as string)) AS INT)):int,CAST(udf(cast(avg(cast(cast(udf(cast(a as string)) as int) as bigint)) as string)) AS DOUBLE):double,CAST(udf(cast(var_samp(cast(a as double)) as string)) AS DOUBLE):double,stddev_samp(CAST(CAST(udf(cast(a as string)) AS INT) AS DOUBLE)):double,CAST(udf(cast(sum(cast(a as bigint)) as string)) AS BIGINT):bigint,CAST(udf(cast(count(a) as string)) AS BIGINT):bigint>
 -- !query 13 output
 -0.2723801058145729	-1.5069204152249134	1	3	2.142857142857143	0.8095238095238094	0.8997354108424372	15	7

 -- !query 14
-SELECT COUNT(DISTINCT b), COUNT(DISTINCT b, c) FROM (SELECT 1 AS a, 2 AS b, 3 AS c) GROUP BY a
+SELECT COUNT(DISTINCT udf(b)), udf(COUNT(DISTINCT b, c)) FROM (SELECT 1 AS a, 2 AS b, 3 AS c) GROUP BY udf(a)
 -- !query 14 schema
-struct<count(DISTINCT b):bigint,count(DISTINCT b, c):bigint>
+struct<count(DISTINCT CAST(udf(cast(b as string)) AS INT)):bigint,CAST(udf(cast(count(distinct b, c) as string)) AS BIGINT):bigint>
 -- !query 14 output
 1	1

 -- !query 15
-SELECT a AS k, COUNT(b) FROM testData GROUP BY k
+SELECT udf(a) AS k, COUNT(udf(b)) FROM testData GROUP BY k
 -- !query 15 schema
-struct<k:int,count(b):bigint>
+struct<k:int,count(CAST(udf(cast(b as string)) AS INT)):bigint>
 -- !query 15 output
 1	2
 2	2
 -153,21 +153,21  NULL	1

 -- !query 16
-SELECT a AS k, COUNT(b) FROM testData GROUP BY k HAVING k > 1
+SELECT a AS k, udf(COUNT(b)) FROM testData GROUP BY k HAVING k > 1
 -- !query 16 schema
-struct<k:int,count(b):bigint>
+struct<k:int,CAST(udf(cast(count(b) as string)) AS BIGINT):bigint>
 -- !query 16 output
 2	2
 3	2

 -- !query 17
-SELECT COUNT(b) AS k FROM testData GROUP BY k
+SELECT udf(COUNT(b)) AS k FROM testData GROUP BY k
 -- !query 17 schema
 struct<>
 -- !query 17 output
 org.apache.spark.sql.AnalysisException
-aggregate functions are not allowed in GROUP BY, but found count(testdata.`b`);
+aggregate functions are not allowed in GROUP BY, but found CAST(udf(cast(count(b) as string)) AS BIGINT);

 -- !query 18
 -180,7 +180,7  struct<>

 -- !query 19
-SELECT k AS a, COUNT(v) FROM testDataHasSameNameWithAlias GROUP BY a
+SELECT k AS a, udf(COUNT(udf(v))) FROM testDataHasSameNameWithAlias GROUP BY udf(a)
 -- !query 19 schema
 struct<>
 -- !query 19 output
 -197,32 +197,32  spark.sql.groupByAliases	false

 -- !query 21
-SELECT a AS k, COUNT(b) FROM testData GROUP BY k
+SELECT a AS k, udf(COUNT(udf(b))) FROM testData GROUP BY k
 -- !query 21 schema
 struct<>
 -- !query 21 output
 org.apache.spark.sql.AnalysisException
-cannot resolve '`k`' given input columns: [testdata.a, testdata.b]; line 1 pos 47
+cannot resolve '`k`' given input columns: [testdata.a, testdata.b]; line 1 pos 57

 -- !query 22
-SELECT a, COUNT(1) FROM testData WHERE false GROUP BY a
+SELECT udf(a), COUNT(udf(1)) FROM testData WHERE false GROUP BY udf(a)
 -- !query 22 schema
-struct<a:int,count(1):bigint>
+struct<CAST(udf(cast(a as string)) AS INT):int,count(CAST(udf(cast(1 as string)) AS INT)):bigint>
 -- !query 22 output

 -- !query 23
-SELECT COUNT(1) FROM testData WHERE false
+SELECT udf(COUNT(1)) FROM testData WHERE false
 -- !query 23 schema
-struct<count(1):bigint>
+struct<CAST(udf(cast(count(1) as string)) AS BIGINT):bigint>
 -- !query 23 output
 0

 -- !query 24
-SELECT 1 FROM (SELECT COUNT(1) FROM testData WHERE false) t
+SELECT 1 FROM (SELECT udf(COUNT(1)) FROM testData WHERE false) t
 -- !query 24 schema
 struct<1:int>
 -- !query 24 output
 -232,7 +232,7  struct<1:int>
 -- !query 25
 SELECT 1 from (
   SELECT 1 AS z,
-  MIN(a.x)
+  udf(MIN(a.x))
   FROM (select 1 as x) a
   WHERE false
 ) b
 -244,32 +244,32  struct<1:int>

 -- !query 26
-SELECT corr(DISTINCT x, y), corr(DISTINCT y, x), count(*)
+SELECT corr(DISTINCT x, y), udf(corr(DISTINCT y, x)), count(*)
   FROM (VALUES (1, 1), (2, 2), (2, 2)) t(x, y)
 -- !query 26 schema
-struct<corr(DISTINCT CAST(x AS DOUBLE), CAST(y AS DOUBLE)):double,corr(DISTINCT CAST(y AS DOUBLE), CAST(x AS DOUBLE)):double,count(1):bigint>
+struct<corr(DISTINCT CAST(x AS DOUBLE), CAST(y AS DOUBLE)):double,CAST(udf(cast(corr(distinct cast(y as double), cast(x as double)) as string)) AS DOUBLE):double,count(1):bigint>
 -- !query 26 output
 1.0	1.0	3

 -- !query 27
-SELECT 1 FROM range(10) HAVING true
+SELECT udf(1) FROM range(10) HAVING true
 -- !query 27 schema
-struct<1:int>
+struct<CAST(udf(cast(1 as string)) AS INT):int>
 -- !query 27 output
 1

 -- !query 28
-SELECT 1 FROM range(10) HAVING MAX(id) > 0
+SELECT udf(udf(1)) FROM range(10) HAVING MAX(id) > 0
 -- !query 28 schema
-struct<1:int>
+struct<CAST(udf(cast(cast(udf(cast(1 as string)) as int) as string)) AS INT):int>
 -- !query 28 output
 1

 -- !query 29
-SELECT id FROM range(10) HAVING id > 0
+SELECT udf(id) FROM range(10) HAVING id > 0
 -- !query 29 schema
 struct<>
 -- !query 29 output
 -291,33 +291,33  struct<>

 -- !query 31
-SELECT every(v), some(v), any(v) FROM test_agg WHERE 1 = 0
+SELECT udf(every(v)), udf(some(v)), any(v) FROM test_agg WHERE 1 = 0
 -- !query 31 schema
-struct<every(v):boolean,some(v):boolean,any(v):boolean>
+struct<CAST(udf(cast(every(v) as string)) AS BOOLEAN):boolean,CAST(udf(cast(some(v) as string)) AS BOOLEAN):boolean,any(v):boolean>
 -- !query 31 output
 NULL	NULL	NULL

 -- !query 32
-SELECT every(v), some(v), any(v) FROM test_agg WHERE k = 4
+SELECT udf(every(udf(v))), some(v), any(v) FROM test_agg WHERE k = 4
 -- !query 32 schema
-struct<every(v):boolean,some(v):boolean,any(v):boolean>
+struct<CAST(udf(cast(every(cast(udf(cast(v as string)) as boolean)) as string)) AS BOOLEAN):boolean,some(v):boolean,any(v):boolean>
 -- !query 32 output
 NULL	NULL	NULL

 -- !query 33
-SELECT every(v), some(v), any(v) FROM test_agg WHERE k = 5
+SELECT every(v), udf(some(v)), any(v) FROM test_agg WHERE k = 5
 -- !query 33 schema
-struct<every(v):boolean,some(v):boolean,any(v):boolean>
+struct<every(v):boolean,CAST(udf(cast(some(v) as string)) AS BOOLEAN):boolean,any(v):boolean>
 -- !query 33 output
 false	true	true

 -- !query 34
-SELECT k, every(v), some(v), any(v) FROM test_agg GROUP BY k
+SELECT udf(k), every(v), udf(some(v)), any(v) FROM test_agg GROUP BY udf(k)
 -- !query 34 schema
-struct<k:int,every(v):boolean,some(v):boolean,any(v):boolean>
+struct<CAST(udf(cast(k as string)) AS INT):int,every(v):boolean,CAST(udf(cast(some(v) as string)) AS BOOLEAN):boolean,any(v):boolean>
 -- !query 34 output
 1	false	true	true
 2	true	true	true
 -327,9 +327,9  struct<k:int,every(v):boolean,some(v):boolean,any(v):boolean>

 -- !query 35
-SELECT k, every(v) FROM test_agg GROUP BY k HAVING every(v) = false
+SELECT udf(k), every(v) FROM test_agg GROUP BY k HAVING every(v) = false
 -- !query 35 schema
-struct<k:int,every(v):boolean>
+struct<CAST(udf(cast(k as string)) AS INT):int,every(v):boolean>
 -- !query 35 output
 1	false
 3	false
 -337,77 +337,77  struct<k:int,every(v):boolean>

 -- !query 36
-SELECT k, every(v) FROM test_agg GROUP BY k HAVING every(v) IS NULL
+SELECT udf(k), udf(every(v)) FROM test_agg GROUP BY udf(k) HAVING every(v) IS NULL
 -- !query 36 schema
-struct<k:int,every(v):boolean>
+struct<CAST(udf(cast(k as string)) AS INT):int,CAST(udf(cast(every(v) as string)) AS BOOLEAN):boolean>
 -- !query 36 output
 4	NULL

 -- !query 37
-SELECT k,
-       Every(v) AS every
+SELECT udf(k),
+       udf(Every(v)) AS every
 FROM   test_agg
 WHERE  k = 2
        AND v IN (SELECT Any(v)
                  FROM   test_agg
                  WHERE  k = 1)
-GROUP  BY k
+GROUP  BY udf(k)
 -- !query 37 schema
-struct<k:int,every:boolean>
+struct<CAST(udf(cast(k as string)) AS INT):int,every:boolean>
 -- !query 37 output
 2	true

 -- !query 38
-SELECT k,
+SELECT udf(udf(k)),
        Every(v) AS every
 FROM   test_agg
 WHERE  k = 2
        AND v IN (SELECT Every(v)
                  FROM   test_agg
                  WHERE  k = 1)
-GROUP  BY k
+GROUP  BY udf(udf(k))
 -- !query 38 schema
-struct<k:int,every:boolean>
+struct<CAST(udf(cast(cast(udf(cast(k as string)) as int) as string)) AS INT):int,every:boolean>
 -- !query 38 output

 -- !query 39
-SELECT every(1)
+SELECT every(udf(1))
 -- !query 39 schema
 struct<>
 -- !query 39 output
 org.apache.spark.sql.AnalysisException
-cannot resolve 'every(1)' due to data type mismatch: Input to function 'every' should have been boolean, but it's [int].; line 1 pos 7
+cannot resolve 'every(CAST(udf(cast(1 as string)) AS INT))' due to data type mismatch: Input to function 'every' should have been boolean, but it's [int].; line 1 pos 7

 -- !query 40
-SELECT some(1S)
+SELECT some(udf(1S))
 -- !query 40 schema
 struct<>
 -- !query 40 output
 org.apache.spark.sql.AnalysisException
-cannot resolve 'some(1S)' due to data type mismatch: Input to function 'some' should have been boolean, but it's [smallint].; line 1 pos 7
+cannot resolve 'some(CAST(udf(cast(1 as string)) AS SMALLINT))' due to data type mismatch: Input to function 'some' should have been boolean, but it's [smallint].; line 1 pos 7

 -- !query 41
-SELECT any(1L)
+SELECT any(udf(1L))
 -- !query 41 schema
 struct<>
 -- !query 41 output
 org.apache.spark.sql.AnalysisException
-cannot resolve 'any(1L)' due to data type mismatch: Input to function 'any' should have been boolean, but it's [bigint].; line 1 pos 7
+cannot resolve 'any(CAST(udf(cast(1 as string)) AS BIGINT))' due to data type mismatch: Input to function 'any' should have been boolean, but it's [bigint].; line 1 pos 7

 -- !query 42
-SELECT every("true")
+SELECT udf(every("true"))
 -- !query 42 schema
 struct<>
 -- !query 42 output
 org.apache.spark.sql.AnalysisException
-cannot resolve 'every('true')' due to data type mismatch: Input to function 'every' should have been boolean, but it's [string].; line 1 pos 7
+cannot resolve 'every('true')' due to data type mismatch: Input to function 'every' should have been boolean, but it's [string].; line 1 pos 11

 -- !query 43
 -428,9 +428,9  struct<k:int,v:boolean,every(v) OVER (PARTITION BY k ORDER BY v ASC NULLS FIRST

 -- !query 44
-SELECT k, v, some(v) OVER (PARTITION BY k ORDER BY v) FROM test_agg
+SELECT k, udf(udf(v)), some(v) OVER (PARTITION BY k ORDER BY v) FROM test_agg
 -- !query 44 schema
-struct<k:int,v:boolean,some(v) OVER (PARTITION BY k ORDER BY v ASC NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW):boolean>
+struct<k:int,CAST(udf(cast(cast(udf(cast(v as string)) as boolean) as string)) AS BOOLEAN):boolean,some(v) OVER (PARTITION BY k ORDER BY v ASC NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW):boolean>
 -- !query 44 output
 1	false	false
 1	true	true
 -445,9 +445,9  struct<k:int,v:boolean,some(v) OVER (PARTITION BY k ORDER BY v ASC NULLS FIRST R

 -- !query 45
-SELECT k, v, any(v) OVER (PARTITION BY k ORDER BY v) FROM test_agg
+SELECT udf(udf(k)), v, any(v) OVER (PARTITION BY k ORDER BY v) FROM test_agg
 -- !query 45 schema
-struct<k:int,v:boolean,any(v) OVER (PARTITION BY k ORDER BY v ASC NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW):boolean>
+struct<CAST(udf(cast(cast(udf(cast(k as string)) as int) as string)) AS INT):int,v:boolean,any(v) OVER (PARTITION BY k ORDER BY v ASC NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW):boolean>
 -- !query 45 output
 1	false	false
 1	true	true
 -462,17 +462,17  struct<k:int,v:boolean,any(v) OVER (PARTITION BY k ORDER BY v ASC NULLS FIRST RA

 -- !query 46
-SELECT count(*) FROM test_agg HAVING count(*) > 1L
+SELECT udf(count(*)) FROM test_agg HAVING count(*) > 1L
 -- !query 46 schema
-struct<count(1):bigint>
+struct<CAST(udf(cast(count(1) as string)) AS BIGINT):bigint>
 -- !query 46 output
 10

 -- !query 47
-SELECT k, max(v) FROM test_agg GROUP BY k HAVING max(v) = true
+SELECT k, udf(max(v)) FROM test_agg GROUP BY k HAVING max(v) = true
 -- !query 47 schema
-struct<k:int,max(v):boolean>
+struct<k:int,CAST(udf(cast(max(v) as string)) AS BOOLEAN):boolean>
 -- !query 47 output
 1	true
 2	true
 -480,7 +480,7  struct<k:int,max(v):boolean>

 -- !query 48
-SELECT * FROM (SELECT COUNT(*) AS cnt FROM test_agg) WHERE cnt > 1L
+SELECT * FROM (SELECT udf(COUNT(*)) AS cnt FROM test_agg) WHERE cnt > 1L
 -- !query 48 schema
 struct<cnt:bigint>
 -- !query 48 output
 -488,7 +488,7  struct<cnt:bigint>

 -- !query 49
-SELECT count(*) FROM test_agg WHERE count(*) > 1L
+SELECT udf(count(*)) FROM test_agg WHERE count(*) > 1L
 -- !query 49 schema
 struct<>
 -- !query 49 output
 -500,7 +500,7  Invalid expressions: [count(1)];

 -- !query 50
-SELECT count(*) FROM test_agg WHERE count(*) + 1L > 1L
+SELECT udf(count(*)) FROM test_agg WHERE count(*) + 1L > 1L
 -- !query 50 schema
 struct<>
 -- !query 50 output
 -512,7 +512,7  Invalid expressions: [count(1)];

 -- !query 51
-SELECT count(*) FROM test_agg WHERE k = 1 or k = 2 or count(*) + 1L > 1L or max(k) > 1
+SELECT udf(count(*)) FROM test_agg WHERE k = 1 or k = 2 or count(*) + 1L > 1L or max(k) > 1
 -- !query 51 schema
 struct<>
 -- !query 51 output

```

</p>
</details>

## How was this patch tested?
Tested as instructed in SPARK-27921.

Closes #25360 from skonto/group-by-followup.

Authored-by: Stavros Kontopoulos <st.kontopoulos@gmail.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2019-08-13 10:06:32 +09:00
..
benchmarks [SPARK-27707][SQL] Prune unnecessary nested fields from Generate 2019-07-18 23:32:07 -07:00
src [SPARK-28280][PYTHON][SQL][TESTS][FOLLOW-UP] Add UDF cases into group by clause in 'udf-group-by.sql' 2019-08-13 10:06:32 +09:00
v1.2.1/src [SPARK-28108][SQL][test-hadoop3.2] Simplify OrcFilters 2019-06-24 12:23:52 +08:00
v2.3.5/src [SPARK-28108][SQL][test-hadoop3.2] Simplify OrcFilters 2019-06-24 12:23:52 +08:00
pom.xml [SPARK-27521][SQL] Move data source v2 to catalyst module 2019-06-05 09:55:55 -07:00