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More testcases.

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This commit is contained in:
Sergei Petrunia 2015-06-20 05:01:16 +03:00
parent ebe2bd74fe
commit cbb8b2d033
2 changed files with 135 additions and 2 deletions

106
mysql-test/r/analyze_stmt_orderby.result
View file

@ -381,7 +381,7 @@ id select_type table type possible_keys key key_len ref rows r_rows filtered r_f
1 SIMPLE t3 ALL NULL NULL NULL NULL 1 0.00 100.00 100.00 Using filesort
drop table t3;
#
#
# A test for duplicate_removal()
#
create table t3 (a int, b int);
insert into t3 select a, 123 from t0;
@ -426,5 +426,109 @@ ANALYZE
}
}
}
#
# A query with two filesort calls:
# - first is needed to do group-by-group grouping to calculate COUNT(DISTINCT)
# - the second is need to produce ORDER BY.
# (see MDEV-7836 for description of the query plan)
create table t5 (a int , b int) ;
create table t6 like t5 ;
create table t7 like t5 ;
insert into t5 values (0, 100), (1, 2), (1, 3), (2, 2), (2, 7),
(2, -1), (3, 10);
insert into t6 values (0, 0), (1, 1), (2, 1), (3, 1), (4, 1);
insert into t7 values (3, 3), (2, 2), (1, 1);
# TODO: This ANALYZE output doesn't make it clear what is used for what.
analyze format=json
select count(distinct t5.b) as sum from t5, t6
where t5.a=t6.a and t6.b > 0 and t5.a <= 5
group by t5.a order by sum limit 1;
ANALYZE
{
"query_block": {
"select_id": 1,
"r_loops": 1,
"r_total_time_ms": "REPLACED",
"filesort": {
"r_loops": 1,
"r_limit": 1,
"r_used_priority_queue": true,
"r_output_rows": 2,
"filesort": {
"r_loops": 1,
"r_used_priority_queue": false,
"r_output_rows": 6,
"r_buffer_size": "REPLACED",
"temporary_table": {
"temporary_table": {
"table": {
"table_name": "t6",
"access_type": "ALL",
"r_loops": 1,
"rows": 5,
"r_rows": 5,
"r_total_time_ms": "REPLACED",
"filtered": 100,
"r_filtered": 80,
"attached_condition": "((t6.b > 0) and (t6.a <= 5))"
},
"block-nl-join": {
"table": {
"table_name": "t5",
"access_type": "ALL",
"r_loops": 1,
"rows": 7,
"r_rows": 7,
"r_total_time_ms": "REPLACED",
"filtered": 100,
"r_filtered": 100
},
"buffer_type": "flat",
"buffer_size": "128Kb",
"join_type": "BNL",
"attached_condition": "(t5.a = t6.a)",
"r_filtered": 21.429
}
}
}
}
}
}
}
explain format=json
select count(distinct t5.b) as sum from t5, t6
where t5.a=t6.a and t6.b > 0 and t5.a <= 5
group by t5.a order by sum limit 1;
EXPLAIN
{
"query_block": {
"select_id": 1,
"filesort": {
"temporary_table": {
"function": "buffer",
"table": {
"table_name": "t6",
"access_type": "ALL",
"rows": 5,
"filtered": 100,
"attached_condition": "((t6.b > 0) and (t6.a <= 5))"
},
"block-nl-join": {
"table": {
"table_name": "t5",
"access_type": "ALL",
"rows": 7,
"filtered": 100
},
"buffer_type": "flat",
"buffer_size": "128Kb",
"join_type": "BNL",
"attached_condition": "(t5.a = t6.a)"
}
}
}
}
}
drop table t5,t6,t7;
drop table t3;
drop table t0,t1;

31
mysql-test/t/analyze_stmt_orderby.test
View file

@ -110,7 +110,7 @@ delete from t3 order by a;
drop table t3;
--echo #
--echo #
--echo # A test for duplicate_removal()
--echo #
create table t3 (a int, b int);
insert into t3 select a, 123 from t0;
@ -119,5 +119,34 @@ insert into t3 select a, 123 from t0;
analyze format=json
select distinct max(t3.b) Q from t0, t3 where t0.a=t3.a group by t0.a order by null;
--echo #
--echo # A query with two filesort calls:
--echo # - first is needed to do group-by-group grouping to calculate COUNT(DISTINCT)
--echo # - the second is need to produce ORDER BY.
--echo # (see MDEV-7836 for description of the query plan)
create table t5 (a int , b int) ;
create table t6 like t5 ;
create table t7 like t5 ;
insert into t5 values (0, 100), (1, 2), (1, 3), (2, 2), (2, 7),
(2, -1), (3, 10);
insert into t6 values (0, 0), (1, 1), (2, 1), (3, 1), (4, 1);
insert into t7 values (3, 3), (2, 2), (1, 1);
--echo # TODO: This ANALYZE output doesn't make it clear what is used for what.
--replace_regex /"r_total_time_ms": [0-9]*[.]?[0-9]*/"r_total_time_ms": "REPLACED"/ /"r_buffer_size": "[^"]+"/"r_buffer_size": "REPLACED"/
analyze format=json
select count(distinct t5.b) as sum from t5, t6
where t5.a=t6.a and t6.b > 0 and t5.a <= 5
group by t5.a order by sum limit 1;
explain format=json
select count(distinct t5.b) as sum from t5, t6
where t5.a=t6.a and t6.b > 0 and t5.a <= 5
group by t5.a order by sum limit 1;
drop table t5,t6,t7;
drop table t3;
drop table t0,t1;