[VL] Remove corr in group-by.sql and separate supported SQLQueryTest …

…list for backends (apache#3774)

gluten-ut/common/src/test/scala/io/glutenproject/utils/BackendTestSettings.scala

@@ -140,6 +140,8 @@ abstract class BackendTestSettings {
       false
     }
   }
+
+  def getSQLQueryTestSettings: SQLQueryTestSettings
 }
 
 object BackendTestSettings {

gluten-ut/common/src/test/scala/io/glutenproject/utils/SQLQueryTestSettings.scala

@@ -0,0 +1,23 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package io.glutenproject.utils
+
+trait SQLQueryTestSettings {
+  def getSupportedSQLQueryTests: Set[String]
+
+  def getOverwriteSQLQueryTests: Set[String]
+}

gluten-ut/spark32/src/test/resources/sql-tests/inputs/group-by.sql

@@ -0,0 +1,187 @@
+-- Test aggregate operator with codegen on and off.
+--CONFIG_DIM1 spark.sql.codegen.wholeStage=true
+--CONFIG_DIM1 spark.sql.codegen.wholeStage=false,spark.sql.codegen.factoryMode=CODEGEN_ONLY
+--CONFIG_DIM1 spark.sql.codegen.wholeStage=false,spark.sql.codegen.factoryMode=NO_CODEGEN
+
+-- 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 a, COUNT(b) FROM testData;
+SELECT COUNT(a), COUNT(b) FROM testData;
+
+-- Aggregate with non-empty GroupBy expressions.
+SELECT a, COUNT(b) FROM testData GROUP BY a;
+SELECT a, COUNT(b) FROM testData GROUP BY b;
+SELECT COUNT(a), COUNT(b) FROM testData GROUP BY a;
+
+-- Aggregate grouped by literals.
+SELECT 'foo', COUNT(a) FROM testData GROUP BY 1;
+
+-- Aggregate grouped by literals (whole stage code generation).
+SELECT 'foo' FROM testData WHERE a = 0 GROUP BY 1;
+
+-- Aggregate grouped by literals (hash aggregate).
+SELECT 'foo', APPROX_COUNT_DISTINCT(a) FROM testData WHERE a = 0 GROUP BY 1;
+
+-- Aggregate grouped by literals (sort aggregate).
+SELECT 'foo', MAX(STRUCT(a)) FROM testData WHERE a = 0 GROUP BY 1;
+
+-- Aggregate with complex GroupBy expressions.
+SELECT a + b, COUNT(b) FROM testData GROUP BY a + b;
+SELECT a + 2, COUNT(b) FROM testData GROUP BY a + 1;
+SELECT a + 1 + 1, COUNT(b) FROM testData GROUP BY a + 1;
+
+-- Aggregate with nulls.
+SELECT SKEWNESS(a), KURTOSIS(a), MIN(a), MAX(a), AVG(a), VARIANCE(a), STDDEV(a), SUM(a), COUNT(a)
+FROM testData;
+
+-- Aggregate with foldable input and multiple distinct groups.
+SELECT COUNT(DISTINCT b), 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(b) FROM testData GROUP BY k;
+SELECT a AS k, COUNT(b) FROM testData GROUP BY k HAVING k > 1;
+
+-- Aggregate functions cannot be used in GROUP BY
+SELECT 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, COUNT(v) FROM testDataHasSameNameWithAlias GROUP BY a;
+
+-- turn off group by aliases
+set spark.sql.groupByAliases=false;
+
+-- Check analysis exceptions
+SELECT a AS k, COUNT(b) FROM testData GROUP BY k;
+
+-- Aggregate with empty input and non-empty GroupBy expressions.
+SELECT a, COUNT(1) FROM testData WHERE false GROUP BY a;
+
+-- Aggregate with empty input and empty GroupBy expressions.
+SELECT COUNT(1) FROM testData WHERE false;
+SELECT 1 FROM (SELECT COUNT(1) FROM testData WHERE false) t;
+
+-- Aggregate with empty GroupBy expressions and filter on top
+SELECT 1 from (
+  SELECT 1 AS z,
+  MIN(a.x)
+  FROM (select 1 as x) a
+  WHERE false
+) b
+where b.z != b.z;
+
+-- SPARK-25708 HAVING without GROUP BY means global aggregate
+SELECT 1 FROM range(10) HAVING true;
+
+SELECT 1 FROM range(10) HAVING MAX(id) > 0;
+
+SELECT id FROM range(10) HAVING id > 0;
+
+SET spark.sql.legacy.parser.havingWithoutGroupByAsWhere=true;
+
+SELECT 1 FROM range(10) HAVING true;
+
+SELECT 1 FROM range(10) HAVING MAX(id) > 0;
+
+SELECT id FROM range(10) HAVING id > 0;
+
+SET spark.sql.legacy.parser.havingWithoutGroupByAsWhere=false;
+
+-- 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 every(v), some(v), any(v), bool_and(v), bool_or(v) FROM test_agg WHERE 1 = 0;
+
+-- all null values
+SELECT every(v), some(v), any(v), bool_and(v), bool_or(v) FROM test_agg WHERE k = 4;
+
+-- aggregates are null Filtering
+SELECT every(v), some(v), any(v), bool_and(v), bool_or(v) FROM test_agg WHERE k = 5;
+
+-- group by
+SELECT k, every(v), some(v), any(v), bool_and(v), bool_or(v) FROM test_agg GROUP BY k;
+
+-- having
+SELECT k, every(v) FROM test_agg GROUP BY k HAVING every(v) = false;
+SELECT k, 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,
+       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 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(1);
+
+-- input type checking Short
+SELECT some(1S);
+
+-- input type checking Long
+SELECT any(1L);
+
+-- input type checking String
+SELECT every("true");
+
+-- input type checking Decimal
+SELECT bool_and(1.0);
+
+-- input type checking double
+SELECT bool_or(1.0D);
+
+-- every/some/any aggregates/bool_and/bool_or are supported as windows expression.
+SELECT k, v, every(v) OVER (PARTITION BY k ORDER BY v) FROM test_agg;
+SELECT k, v, some(v) OVER (PARTITION BY k ORDER BY v) FROM test_agg;
+SELECT k, v, any(v) OVER (PARTITION BY k ORDER BY v) FROM test_agg;
+SELECT k, v, bool_and(v) OVER (PARTITION BY k ORDER BY v) FROM test_agg;
+SELECT k, v, bool_or(v) OVER (PARTITION BY k ORDER BY v) FROM test_agg;
+
+-- Having referencing aggregate expressions is ok.
+SELECT count(*) FROM test_agg HAVING count(*) > 1L;
+SELECT k, max(v) FROM test_agg GROUP BY k HAVING max(v) = true;
+
+-- Aggrgate expressions can be referenced through an alias
+SELECT * FROM (SELECT COUNT(*) AS cnt FROM test_agg) WHERE cnt > 1L;
+
+-- Error when aggregate expressions are in where clause directly
+SELECT count(*) FROM test_agg WHERE count(*) > 1L;
+SELECT count(*) FROM test_agg WHERE count(*) + 1L > 1L;
+SELECT count(*) FROM test_agg WHERE k = 1 or k = 2 or count(*) + 1L > 1L or max(k) > 1;
+
+-- Aggregate with multiple distinct decimal columns
+SELECT AVG(DISTINCT decimal_col), SUM(DISTINCT decimal_col) FROM VALUES (CAST(1 AS DECIMAL(9, 0))) t(decimal_col);
+
+-- SPARK-34581: Don't optimize out grouping expressions from aggregate expressions without aggregate function
+SELECT not(a IS NULL), count(*) AS c
+FROM testData
+GROUP BY a IS NULL;
+
+SELECT if(not(a IS NULL), rand(0), 1), count(*) AS c
+FROM testData
+GROUP BY a IS NULL;
+

gluten-ut/spark32/src/test/resources/sql-tests/inputs/udf/udf-group-by.sql

@@ -0,0 +1,152 @@
+-- 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 udf(1);
+
+-- Aggregate grouped by literals (sort aggregate).
+SELECT 'foo', MAX(STRUCT(udf(a))) FROM testData WHERE a = 0 GROUP BY udf(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;
+SELECT udf(a + 1) + 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 udf(a);
+
+-- Aliases in SELECT could be used in GROUP BY
+SELECT udf(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 udf(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 udf(a), COUNT(udf(1)) FROM testData WHERE false GROUP BY udf(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-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 udf(k), every(v), udf(some(v)), any(v) FROM test_agg GROUP BY udf(k);
+
+-- having
+SELECT udf(k), every(v) FROM test_agg GROUP BY k HAVING every(v) = false;
+SELECT udf(k), udf(every(v)) FROM test_agg GROUP BY udf(k) HAVING every(v) IS NULL;
+
+-- basic subquery path to make sure rewrite happens in both parent and child plans.
+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 udf(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 udf(udf(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;