siddharthteotia commented on code in PR #10248:
URL: https://github.com/apache/pinot/pull/10248#discussion_r1114005651
##########
pinot-query-planner/src/test/resources/queries/GroupByPlans.json:
##########
@@ -91,6 +91,92 @@
"\n LogicalTableScan(table=[[a]])",
"\n"
]
+ },
+ {
+ "description": "SQL hint based group by optimization with select and
aggregate column",
+ "sql": "EXPLAIN PLAN FOR SELECT /*+
SKIP_LEAF_STAGE_GROUP_BY_AGGREGATION */ a.col1, SUM(a.col3) FROM a GROUP BY
a.col1",
+ "output": [
+ "Execution Plan",
+ "\nLogicalAggregate(group=[{0}], EXPR$1=[$SUM0($1)])",
+ "\n LogicalExchange(distribution=[hash[0]])",
+ "\n LogicalProject(col1=[$2], col3=[$1])",
+ "\n LogicalTableScan(table=[[a]])",
+ "\n"
+ ]
+ },
+ {
+ "description": "SQL hint based group by optimization with filter",
+ "sql": "EXPLAIN PLAN FOR SELECT /*+
SKIP_LEAF_STAGE_GROUP_BY_AGGREGATION */ a.col1, SUM(a.col3) FROM a WHERE a.col3
>= 0 AND a.col2 = 'a' GROUP BY a.col1",
+ "output": [
+ "Execution Plan",
+ "\nLogicalAggregate(group=[{2}], EXPR$1=[$SUM0($1)])",
+ "\n LogicalExchange(distribution=[hash[2]])",
+ "\n LogicalProject(col2=[$0], col3=[$1], col1=[$2])",
+ "\n LogicalFilter(condition=[AND(>=($1, 0), =($0, 'a'))])",
+ "\n LogicalTableScan(table=[[a]])",
+ "\n"
+ ]
+ },
+ {
+ "description": "SQL hint based group by optimization count(*) with
filter",
+ "sql": "EXPLAIN PLAN FOR SELECT /*+
SKIP_LEAF_STAGE_GROUP_BY_AGGREGATION */ a.col1, COUNT(*) FROM a WHERE a.col3 >=
0 AND a.col2 = 'a' GROUP BY a.col1",
+ "notes": "TODO: Needs follow up. Project should only keep a.col1 since
the other columns are pushed to the filter, but it currently keeps them all",
+ "output": [
+ "Execution Plan",
+ "\nLogicalAggregate(group=[{2}], EXPR$1=[COUNT()])",
+ "\n LogicalExchange(distribution=[hash[2]])",
+ "\n LogicalProject(col2=[$0], col3=[$1], col1=[$2])",
+ "\n LogicalFilter(condition=[AND(>=($1, 0), =($0, 'a'))])",
+ "\n LogicalTableScan(table=[[a]])",
+ "\n"
+ ]
+ },
+ {
+ "description": "SQL hint based group by optimization on 2 columns with
filter",
+ "sql": "EXPLAIN PLAN FOR SELECT /*+
SKIP_LEAF_STAGE_GROUP_BY_AGGREGATION */ a.col2, a.col1, SUM(a.col3) FROM a
WHERE a.col3 >= 0 AND a.col1 = 'a' GROUP BY a.col1, a.col2",
+ "output": [
+ "Execution Plan",
+ "\nLogicalAggregate(group=[{0, 2}], EXPR$2=[$SUM0($1)])",
+ "\n LogicalExchange(distribution=[hash[0, 2]])",
+ "\n LogicalProject(col2=[$0], col3=[$1], col1=[$2])",
+ "\n LogicalFilter(condition=[AND(>=($1, 0), =($2, 'a'))])",
+ "\n LogicalTableScan(table=[[a]])",
+ "\n"
+ ]
+ },
+ {
+ "description": "SQL hint based group by optimization with having
clause",
+ "sql": "EXPLAIN PLAN FOR SELECT /*+
SKIP_LEAF_STAGE_GROUP_BY_AGGREGATION */ a.col1, COUNT(*), SUM(a.col3) FROM a
WHERE a.col3 >= 0 AND a.col2 = 'a' GROUP BY a.col1 HAVING COUNT(*) > 10 AND
MAX(a.col3) >= 0 AND MIN(a.col3) < 20 AND SUM(a.col3) <= 10 AND AVG(a.col3) =
5",
+ "output": [
+ "Execution Plan",
+ "\nLogicalProject(col1=[$0], EXPR$1=[$1], EXPR$2=[$2])",
+ "\n LogicalFilter(condition=[AND(>($1, 10), >=($3, 0), <($4, 20),
<=($2, 10), =($5, 5))])",
+ "\n LogicalProject(col1=[$0], EXPR$1=[$1], EXPR$2=[$2], $f3=[$3],
$f4=[$4], $f5=[CAST(/($5, $1)):INTEGER NOT NULL])",
+ "\n LogicalProject(col1=[$0], EXPR$1=[$1], EXPR$2=[$2],
$f3=[$3], $f4=[$4], $f5=[$2])",
+ "\n LogicalAggregate(group=[{2}], EXPR$1=[COUNT()],
EXPR$2=[$SUM0($1)], agg#2=[MAX($1)], agg#3=[MIN($1)])",
Review Comment:
Can you add a test for the scenario where `COUNT(*)` is not used in the
aggregation set but `AVG()` is still used in the `HAVING` clause ?
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