diff --git a/sql/core/src/test/resources/sql-tests/inputs/udf/udf-group-by.sql b/sql/core/src/test/resources/sql-tests/inputs/udf/udf-group-by.sql
new file mode 100644
index 000000000000..393de498edfa
--- /dev/null
+++ b/sql/core/src/test/resources/sql-tests/inputs/udf/udf-group-by.sql
@@ -0,0 +1,160 @@
+-- This test file was converted from group-by.sql.
+-- Test data.
+CREATE OR REPLACE TEMPORARY VIEW testData AS SELECT * FROM VALUES
+(1, 1), (1, 2), (2, 1), (2, 2), (3, 1), (3, 2), (null, 1), (3, null), (null, null)
+AS testData(a, b);
+
+-- Aggregate with empty GroupBy expressions.
+SELECT udf(a), udf(COUNT(b)) FROM testData;
+SELECT COUNT(udf(a)), udf(COUNT(b)) FROM testData;
+
+-- Aggregate with non-empty GroupBy expressions.
+SELECT udf(a), COUNT(udf(b)) FROM testData GROUP BY a;
+SELECT udf(a), udf(COUNT(udf(b))) FROM testData GROUP BY b;
+SELECT COUNT(udf(a)), COUNT(udf(b)) FROM testData GROUP BY udf(a);
+
+-- Aggregate grouped by literals.
+SELECT 'foo', COUNT(udf(a)) FROM testData GROUP BY 1;
+
+-- Aggregate grouped by literals (whole stage code generation).
+SELECT 'foo' FROM testData WHERE a = 0 GROUP BY udf(1);
+
+-- Aggregate grouped by literals (hash aggregate).
+SELECT 'foo', udf(APPROX_COUNT_DISTINCT(udf(a))) FROM testData WHERE a = 0 GROUP BY 1;
+
+-- Aggregate grouped by literals (sort aggregate).
+SELECT 'foo', MAX(STRUCT(udf(a))) FROM testData WHERE a = 0 GROUP BY 1;
+
+-- Aggregate with complex GroupBy expressions.
+SELECT udf(a + b), udf(COUNT(b)) FROM testData GROUP BY a + b;
+SELECT udf(a + 2), udf(COUNT(b)) FROM testData GROUP BY a + 1;
+
+-- [SPARK-28445] Inconsistency between Scala and Python/Panda udfs when groupby with udf() is used
+-- The following query will make Scala UDF work, but Python and Pandas udfs will fail with an AnalysisException.
+-- The query should be added after SPARK-28445.
+-- SELECT udf(a + 1), udf(COUNT(b)) FROM testData GROUP BY udf(a + 1);
+
+-- Aggregate with nulls.
+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;
+
+-- Aggregate with foldable input and multiple distinct groups.
+SELECT COUNT(DISTINCT udf(b)), udf(COUNT(DISTINCT b, c)) FROM (SELECT 1 AS a, 2 AS b, 3 AS c) GROUP BY a;
+
+-- Aliases in SELECT could be used in GROUP BY
+SELECT a AS k, COUNT(udf(b)) FROM testData GROUP BY k;
+SELECT a AS k, udf(COUNT(b)) FROM testData GROUP BY k HAVING k > 1;
+
+-- Aggregate functions cannot be used in GROUP BY
+SELECT udf(COUNT(b)) AS k FROM testData GROUP BY k;
+
+-- Test data.
+CREATE OR REPLACE TEMPORARY VIEW testDataHasSameNameWithAlias AS SELECT * FROM VALUES
+(1, 1, 3), (1, 2, 1) AS testDataHasSameNameWithAlias(k, a, v);
+SELECT k AS a, udf(COUNT(udf(v))) FROM testDataHasSameNameWithAlias GROUP BY a;
+
+-- turn off group by aliases
+set spark.sql.groupByAliases=false;
+
+-- Check analysis exceptions
+SELECT a AS k, udf(COUNT(udf(b))) FROM testData GROUP BY k;
+
+-- Aggregate with empty input and non-empty GroupBy expressions.
+SELECT a, COUNT(udf(1)) FROM testData WHERE false GROUP BY a;
+
+-- Aggregate with empty input and empty GroupBy expressions.
+SELECT udf(COUNT(1)) FROM testData WHERE false;
+SELECT 1 FROM (SELECT udf(COUNT(1)) FROM testData WHERE false) t;
+
+-- Aggregate with empty GroupBy expressions and filter on top
+SELECT 1 from (
+  SELECT 1 AS z,
+  udf(MIN(a.x))
+  FROM (select 1 as x) a
+  WHERE false
+) b
+where b.z != b.z;
+
+-- SPARK-24369 multiple distinct aggregations having the same argument set
+SELECT corr(DISTINCT x, y), udf(corr(DISTINCT y, x)), count(*)
+  FROM (VALUES (1, 1), (2, 2), (2, 2)) t(x, y);
+
+-- SPARK-25708 HAVING without GROUP BY means global aggregate
+SELECT udf(1) FROM range(10) HAVING true;
+
+SELECT udf(udf(1)) FROM range(10) HAVING MAX(id) > 0;
+
+SELECT udf(id) FROM range(10) HAVING id > 0;
+
+-- Test data
+CREATE OR REPLACE TEMPORARY VIEW test_agg AS SELECT * FROM VALUES
+  (1, true), (1, false),
+  (2, true),
+  (3, false), (3, null),
+  (4, null), (4, null),
+  (5, null), (5, true), (5, false) AS test_agg(k, v);
+
+-- empty table
+SELECT udf(every(v)), udf(some(v)), any(v) FROM test_agg WHERE 1 = 0;
+
+-- all null values
+SELECT udf(every(udf(v))), some(v), any(v) FROM test_agg WHERE k = 4;
+
+-- aggregates are null Filtering
+SELECT every(v), udf(some(v)), any(v) FROM test_agg WHERE k = 5;
+
+-- group by
+SELECT k, every(v), udf(some(v)), any(v) FROM test_agg GROUP BY k;
+
+-- having
+SELECT udf(k), every(v) FROM test_agg GROUP BY k HAVING every(v) = false;
+SELECT k, udf(every(v)) FROM test_agg GROUP BY k HAVING every(v) IS NULL;
+
+-- basic subquery path to make sure rewrite happens in both parent and child plans.
+SELECT 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;
+
+-- basic subquery path to make sure rewrite happens in both parent and child plans.
+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;
+
+-- input type checking Int
+SELECT every(udf(1));
+
+-- input type checking Short
+SELECT some(udf(1S));
+
+-- input type checking Long
+SELECT any(udf(1L));
+
+-- input type checking String
+SELECT udf(every("true"));
+
+-- every/some/any aggregates are supported as windows expression.
+SELECT k, v, every(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;
+SELECT udf(udf(k)), v, any(v) OVER (PARTITION BY k ORDER BY v) FROM test_agg;
+
+-- Having referencing aggregate expressions is ok.
+SELECT udf(count(*)) FROM test_agg HAVING count(*) > 1L;
+SELECT k, udf(max(v)) FROM test_agg GROUP BY k HAVING max(v) = true;
+
+-- Aggrgate expressions can be referenced through an alias
+SELECT * FROM (SELECT udf(COUNT(*)) AS cnt FROM test_agg) WHERE cnt > 1L;
+
+-- Error when aggregate expressions are in where clause directly
+SELECT udf(count(*)) FROM test_agg WHERE count(*) > 1L;
+SELECT udf(count(*)) FROM test_agg WHERE count(*) + 1L > 1L;
+SELECT udf(count(*)) FROM test_agg WHERE k = 1 or k = 2 or count(*) + 1L > 1L or max(k) > 1;
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
new file mode 100644
index 000000000000..789c91fa3870
--- /dev/null
+++ b/sql/core/src/test/resources/sql-tests/results/udf/udf-group-by.sql.out
@@ -0,0 +1,512 @@
+-- Automatically generated by SQLQueryTestSuite
+-- Number of queries: 51
+
+
+-- !query 0
+CREATE OR REPLACE TEMPORARY VIEW testData AS SELECT * FROM VALUES
+(1, 1), (1, 2), (2, 1), (2, 2), (3, 1), (3, 2), (null, 1), (3, null), (null, null)
+AS testData(a, b)
+-- !query 0 schema
+struct<>
+-- !query 0 output
+
+
+
+-- !query 1
+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 '(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(udf(a)), udf(COUNT(b)) FROM testData
+-- !query 2 schema
+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 udf(a), COUNT(udf(b)) FROM testData GROUP BY a
+-- !query 3 schema
+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
+3	2
+NULL	1
+
+
+-- !query 4
+SELECT udf(a), udf(COUNT(udf(b))) FROM testData GROUP BY b
+-- !query 4 schema
+struct<>
+-- !query 4 output
+org.apache.spark.sql.AnalysisException
+expression 'testdata.`a`' is neither present in the group by, nor is it an aggregate function. Add to group by or wrap in first() (or first_value) if you don't care which value you get.;
+
+
+-- !query 5
+SELECT COUNT(udf(a)), COUNT(udf(b)) FROM testData GROUP BY udf(a)
+-- !query 5 schema
+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
+2	2
+3	2
+
+
+-- !query 6
+SELECT 'foo', COUNT(udf(a)) FROM testData GROUP BY 1
+-- !query 6 schema
+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 udf(1)
+-- !query 7 schema
+struct<foo:string>
+-- !query 7 output
+
+
+
+-- !query 8
+SELECT 'foo', udf(APPROX_COUNT_DISTINCT(udf(a))) FROM testData WHERE a = 0 GROUP BY 1
+-- !query 8 schema
+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(udf(a))) FROM testData WHERE a = 0 GROUP BY 1
+-- !query 9 schema
+struct<foo:string,max(named_struct(col1, CAST(udf(cast(a as string)) AS INT))):struct<col1:int>>
+-- !query 9 output
+
+
+
+-- !query 10
+SELECT udf(a + b), udf(COUNT(b)) FROM testData GROUP BY a + b
+-- !query 10 schema
+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
+4	2
+5	1
+NULL	1
+
+
+-- !query 11
+SELECT udf(a + 2), udf(COUNT(b)) FROM testData GROUP BY a + 1
+-- !query 11 schema
+struct<>
+-- !query 11 output
+org.apache.spark.sql.AnalysisException
+expression 'testdata.`a`' is neither present in the group by, nor is it an aggregate function. Add to group by or wrap in first() (or first_value) if you don't care which value you get.;
+
+
+-- !query 12
+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 12 schema
+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 12 output
+-0.2723801058145729	-1.5069204152249134	1	3	2.142857142857143	0.8095238095238094	0.8997354108424372	15	7
+
+
+-- !query 13
+SELECT COUNT(DISTINCT udf(b)), udf(COUNT(DISTINCT b, c)) FROM (SELECT 1 AS a, 2 AS b, 3 AS c) GROUP BY a
+-- !query 13 schema
+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 13 output
+1	1
+
+
+-- !query 14
+SELECT a AS k, COUNT(udf(b)) FROM testData GROUP BY k
+-- !query 14 schema
+struct<k:int,count(CAST(udf(cast(b as string)) AS INT)):bigint>
+-- !query 14 output
+1	2
+2	2
+3	2
+NULL	1
+
+
+-- !query 15
+SELECT a AS k, udf(COUNT(b)) FROM testData GROUP BY k HAVING k > 1
+-- !query 15 schema
+struct<k:int,CAST(udf(cast(count(b) as string)) AS BIGINT):bigint>
+-- !query 15 output
+2	2
+3	2
+
+
+-- !query 16
+SELECT udf(COUNT(b)) AS k FROM testData GROUP BY k
+-- !query 16 schema
+struct<>
+-- !query 16 output
+org.apache.spark.sql.AnalysisException
+aggregate functions are not allowed in GROUP BY, but found CAST(udf(cast(count(b) as string)) AS BIGINT);
+
+
+-- !query 17
+CREATE OR REPLACE TEMPORARY VIEW testDataHasSameNameWithAlias AS SELECT * FROM VALUES
+(1, 1, 3), (1, 2, 1) AS testDataHasSameNameWithAlias(k, a, v)
+-- !query 17 schema
+struct<>
+-- !query 17 output
+
+
+
+-- !query 18
+SELECT k AS a, udf(COUNT(udf(v))) FROM testDataHasSameNameWithAlias GROUP BY a
+-- !query 18 schema
+struct<>
+-- !query 18 output
+org.apache.spark.sql.AnalysisException
+expression 'testdatahassamenamewithalias.`k`' is neither present in the group by, nor is it an aggregate function. Add to group by or wrap in first() (or first_value) if you don't care which value you get.;
+
+
+-- !query 19
+set spark.sql.groupByAliases=false
+-- !query 19 schema
+struct<key:string,value:string>
+-- !query 19 output
+spark.sql.groupByAliases	false
+
+
+-- !query 20
+SELECT a AS k, udf(COUNT(udf(b))) FROM testData GROUP BY k
+-- !query 20 schema
+struct<>
+-- !query 20 output
+org.apache.spark.sql.AnalysisException
+cannot resolve '`k`' given input columns: [testdata.a, testdata.b]; line 1 pos 57
+
+
+-- !query 21
+SELECT a, COUNT(udf(1)) FROM testData WHERE false GROUP BY a
+-- !query 21 schema
+struct<a:int,count(CAST(udf(cast(1 as string)) AS INT)):bigint>
+-- !query 21 output
+
+
+
+-- !query 22
+SELECT udf(COUNT(1)) FROM testData WHERE false
+-- !query 22 schema
+struct<CAST(udf(cast(count(1) as string)) AS BIGINT):bigint>
+-- !query 22 output
+0
+
+
+-- !query 23
+SELECT 1 FROM (SELECT udf(COUNT(1)) FROM testData WHERE false) t
+-- !query 23 schema
+struct<1:int>
+-- !query 23 output
+1
+
+
+-- !query 24
+SELECT 1 from (
+  SELECT 1 AS z,
+  udf(MIN(a.x))
+  FROM (select 1 as x) a
+  WHERE false
+) b
+where b.z != b.z
+-- !query 24 schema
+struct<1:int>
+-- !query 24 output
+
+
+
+-- !query 25
+SELECT corr(DISTINCT x, y), udf(corr(DISTINCT y, x)), count(*)
+  FROM (VALUES (1, 1), (2, 2), (2, 2)) t(x, y)
+-- !query 25 schema
+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 25 output
+1.0	1.0	3
+
+
+-- !query 26
+SELECT udf(1) FROM range(10) HAVING true
+-- !query 26 schema
+struct<CAST(udf(cast(1 as string)) AS INT):int>
+-- !query 26 output
+1
+
+
+-- !query 27
+SELECT udf(udf(1)) FROM range(10) HAVING MAX(id) > 0
+-- !query 27 schema
+struct<CAST(udf(cast(cast(udf(cast(1 as string)) as int) as string)) AS INT):int>
+-- !query 27 output
+1
+
+
+-- !query 28
+SELECT udf(id) FROM range(10) HAVING id > 0
+-- !query 28 schema
+struct<>
+-- !query 28 output
+org.apache.spark.sql.AnalysisException
+grouping expressions sequence is empty, and '`id`' is not an aggregate function. Wrap '()' in windowing function(s) or wrap '`id`' in first() (or first_value) if you don't care which value you get.;
+
+
+-- !query 29
+CREATE OR REPLACE TEMPORARY VIEW test_agg AS SELECT * FROM VALUES
+  (1, true), (1, false),
+  (2, true),
+  (3, false), (3, null),
+  (4, null), (4, null),
+  (5, null), (5, true), (5, false) AS test_agg(k, v)
+-- !query 29 schema
+struct<>
+-- !query 29 output
+
+
+
+-- !query 30
+SELECT udf(every(v)), udf(some(v)), any(v) FROM test_agg WHERE 1 = 0
+-- !query 30 schema
+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 30 output
+NULL	NULL	NULL
+
+
+-- !query 31
+SELECT udf(every(udf(v))), some(v), any(v) FROM test_agg WHERE k = 4
+-- !query 31 schema
+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 31 output
+NULL	NULL	NULL
+
+
+-- !query 32
+SELECT every(v), udf(some(v)), any(v) FROM test_agg WHERE k = 5
+-- !query 32 schema
+struct<every(v):boolean,CAST(udf(cast(some(v) as string)) AS BOOLEAN):boolean,any(v):boolean>
+-- !query 32 output
+false	true	true
+
+
+-- !query 33
+SELECT k, every(v), udf(some(v)), any(v) FROM test_agg GROUP BY k
+-- !query 33 schema
+struct<k:int,every(v):boolean,CAST(udf(cast(some(v) as string)) AS BOOLEAN):boolean,any(v):boolean>
+-- !query 33 output
+1	false	true	true
+2	true	true	true
+3	false	false	false
+4	NULL	NULL	NULL
+5	false	true	true
+
+
+-- !query 34
+SELECT udf(k), every(v) FROM test_agg GROUP BY k HAVING every(v) = false
+-- !query 34 schema
+struct<CAST(udf(cast(k as string)) AS INT):int,every(v):boolean>
+-- !query 34 output
+1	false
+3	false
+5	false
+
+
+-- !query 35
+SELECT k, udf(every(v)) FROM test_agg GROUP BY k HAVING every(v) IS NULL
+-- !query 35 schema
+struct<k:int,CAST(udf(cast(every(v) as string)) AS BOOLEAN):boolean>
+-- !query 35 output
+4	NULL
+
+
+-- !query 36
+SELECT 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
+-- !query 36 schema
+struct<k:int,every:boolean>
+-- !query 36 output
+2	true
+
+
+-- !query 37
+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
+-- !query 37 schema
+struct<CAST(udf(cast(cast(udf(cast(k as string)) as int) as string)) AS INT):int,every:boolean>
+-- !query 37 output
+
+
+
+-- !query 38
+SELECT every(udf(1))
+-- !query 38 schema
+struct<>
+-- !query 38 output
+org.apache.spark.sql.AnalysisException
+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 39
+SELECT some(udf(1S))
+-- !query 39 schema
+struct<>
+-- !query 39 output
+org.apache.spark.sql.AnalysisException
+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 40
+SELECT any(udf(1L))
+-- !query 40 schema
+struct<>
+-- !query 40 output
+org.apache.spark.sql.AnalysisException
+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 41
+SELECT udf(every("true"))
+-- !query 41 schema
+struct<>
+-- !query 41 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 11
+
+
+-- !query 42
+SELECT k, v, every(v) OVER (PARTITION BY k ORDER BY v) FROM test_agg
+-- !query 42 schema
+struct<k:int,v:boolean,every(v) OVER (PARTITION BY k ORDER BY v ASC NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW):boolean>
+-- !query 42 output
+1	false	false
+1	true	false
+2	true	true
+3	NULL	NULL
+3	false	false
+4	NULL	NULL
+4	NULL	NULL
+5	NULL	NULL
+5	false	false
+5	true	false
+
+
+-- !query 43
+SELECT k, udf(udf(v)), some(v) OVER (PARTITION BY k ORDER BY v) FROM test_agg
+-- !query 43 schema
+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 43 output
+1	false	false
+1	true	true
+2	true	true
+3	NULL	NULL
+3	false	false
+4	NULL	NULL
+4	NULL	NULL
+5	NULL	NULL
+5	false	false
+5	true	true
+
+
+-- !query 44
+SELECT udf(udf(k)), v, any(v) OVER (PARTITION BY k ORDER BY v) FROM test_agg
+-- !query 44 schema
+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 44 output
+1	false	false
+1	true	true
+2	true	true
+3	NULL	NULL
+3	false	false
+4	NULL	NULL
+4	NULL	NULL
+5	NULL	NULL
+5	false	false
+5	true	true
+
+
+-- !query 45
+SELECT udf(count(*)) FROM test_agg HAVING count(*) > 1L
+-- !query 45 schema
+struct<CAST(udf(cast(count(1) as string)) AS BIGINT):bigint>
+-- !query 45 output
+10
+
+
+-- !query 46
+SELECT k, udf(max(v)) FROM test_agg GROUP BY k HAVING max(v) = true
+-- !query 46 schema
+struct<k:int,CAST(udf(cast(max(v) as string)) AS BOOLEAN):boolean>
+-- !query 46 output
+1	true
+2	true
+5	true
+
+
+-- !query 47
+SELECT * FROM (SELECT udf(COUNT(*)) AS cnt FROM test_agg) WHERE cnt > 1L
+-- !query 47 schema
+struct<cnt:bigint>
+-- !query 47 output
+10
+
+
+-- !query 48
+SELECT udf(count(*)) FROM test_agg WHERE count(*) > 1L
+-- !query 48 schema
+struct<>
+-- !query 48 output
+org.apache.spark.sql.AnalysisException
+
+Aggregate/Window/Generate expressions are not valid in where clause of the query.
+Expression in where clause: [(count(1) > 1L)]
+Invalid expressions: [count(1)];
+
+
+-- !query 49
+SELECT udf(count(*)) FROM test_agg WHERE count(*) + 1L > 1L
+-- !query 49 schema
+struct<>
+-- !query 49 output
+org.apache.spark.sql.AnalysisException
+
+Aggregate/Window/Generate expressions are not valid in where clause of the query.
+Expression in where clause: [((count(1) + 1L) > 1L)]
+Invalid expressions: [count(1)];
+
+
+-- !query 50
+SELECT udf(count(*)) FROM test_agg WHERE k = 1 or k = 2 or count(*) + 1L > 1L or max(k) > 1
+-- !query 50 schema
+struct<>
+-- !query 50 output
+org.apache.spark.sql.AnalysisException
+
+Aggregate/Window/Generate expressions are not valid in where clause of the query.
+Expression in where clause: [(((test_agg.`k` = 1) OR (test_agg.`k` = 2)) OR (((count(1) + 1L) > 1L) OR (max(test_agg.`k`) > 1)))]
+Invalid expressions: [count(1), max(test_agg.`k`)];