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MDEV-31995 Bogus error executing PS for query using CTE with renaming of columns
This commit addresses column naming issues with CTEs in the use of prepared statements and stored procedures. Usage of either prepared statements or procedures with Common Table Expressions and column renaming may be affected. There are three related but different issues addressed here. 1) First execution issue. Consider the following prepare s from "with cte (col1, col2) as (select a as c1, b as c2 from t order by c1) select col1, col2 from cte"; execute s; After parsing, items in the select are named (c1,c2), order by (and group by) resolution is performed, then item names are set to (col1, col2). When the statement is executed, context analysis is again performed, but resolution of elements in the order by statement will not be able to find c1, because it was renamed to col1 and remains this way. The solution is to save the names of these items during context resolution before they have been renamed. We can then reset item names back to those after parsing so first execution can resolve items referred to in order and group by clauses. 2) Second Execution Issue When the derived table contains more than one select 'unioned' together we could reasonably think that dealing with only items in the first select (which determines names in the resultant table) would be sufficient. This can lead to a different problem. Consider prepare st from "with cte (c1,c2) as (select a as col1, sum(b) as col2 from t1 where a > 0 group by col1 union select a as col3, sum(b) as col4 from t2 where b > 2 group by col3) select * from cte where c1=1"; When the optimizer (only run during the first execution) pushes the outside condition "c1=1" into every select in the derived table union, it renames the items to make the condition valid. In this example, this leaves the first item in the second select named 'c1'. The second execution will now fail 'group by' resolution. Again, the solution is to save the names during context analysis, resetting before subsequent resolution, but making sure that we save/reset the item names in all the selects in this union. 3) Memory Leak During parsing Item::set_name() is used to allocate memory in the statement arena. We cannot use this call during statement execution as this represents a memory leak. We directly set the item list names to those in the column list of this CTE (also allocated during parsing). Approved by Igor Babaev <igor@mariadb.com>
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@ -2339,4 +2339,264 @@ set sql_mode="oracle";
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with data as (select 1 as id)
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select id into @myid from data;
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set sql_mode= @save_sql_mode;
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#
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# MDEV-31995 CTE column name specification inconsistency
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#
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create table t1 (a int, b int);
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insert into t1 values (1,1),(1,2),(1,3),(2,1),(2,2);
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create table t2 (a int, b int);
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insert into t2 values (3,1),(3,2),(3,3),(4,1),(4,2);
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with cte (c1,c2) as
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(select a as col1, sum(b) as col2 from t1 group by col1)
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select * from cte;
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c1 c2
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1 6
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2 3
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prepare st from "with cte (c1,c2) as
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(select a as col1, sum(b) as col2 from t1 group by col1)
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select * from cte";
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execute st;
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c1 c2
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1 6
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2 3
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execute st;
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c1 c2
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1 6
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2 3
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drop prepare st;
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create procedure sp() with cte (c1,c2) as
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(select a as col1, sum(b) as col2 from t1 group by col1)
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select * from cte;
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call sp();
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c1 c2
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1 6
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2 3
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call sp();
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c1 c2
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1 6
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2 3
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drop procedure sp;
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with cte (c1,c2) as
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(select a as col1, sum(b) as col2 from t1 order by col1)
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select * from cte;
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c1 c2
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1 9
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prepare st from "with cte (c1,c2) as
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(select a as col1, sum(b) as col2 from t1 order by col1)
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select * from cte";
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execute st;
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c1 c2
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1 9
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execute st;
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c1 c2
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1 9
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drop prepare st;
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create procedure sp() with cte (c1,c2) as
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(select a as col1, sum(b) as col2 from t1 order by col1)
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select * from cte;
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call sp();
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c1 c2
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1 9
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call sp();
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c1 c2
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1 9
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drop procedure sp;
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with cte (c1,c2) as
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(select a as col1, sum(b) as col2 from t1 where a > 1 group by col1
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union select a as col3, sum(b) as col4 from t2 where b > 2 group by col3),
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cte2 (c3, c4) as
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(select a as col5, sum(b) as col6 from t1 where a <= 1 group by col5
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union select a as col7, sum(b) as col8 from t2 where b <= 2 group by col7)
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select * from cte where c1=1 union select * from cte2 where c3=3;
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c1 c2
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3 3
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prepare st from "with cte (c1,c2) as
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(select a as col1, sum(b) as col2 from t1 where a > 1 group by col1
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union select a as col3, sum(b) as col4 from t2 where b > 2 group by col3),
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cte2 (c3, c4) as
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(select a as col5, sum(b) as col6 from t1 where a <= 1 group by col5
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union select a as col7, sum(b) as col8 from t2 where b <= 2 group by col7)
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select * from cte where c1=1 union select * from cte2 where c3=3";
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execute st;
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c1 c2
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3 3
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execute st;
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c1 c2
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3 3
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drop prepare st;
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create procedure sp() with cte (c1,c2) as
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(select a as col1, sum(b) as col2 from t1 where a > 1 group by col1
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union select a as col3, sum(b) as col4 from t2 where b > 2 group by col3),
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cte2 (c3, c4) as
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(select a as col5, sum(b) as col6 from t1 where a <= 1 group by col5
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union select a as col7, sum(b) as col8 from t2 where b <= 2 group by col7)
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select * from cte where c1=1 union select * from cte2 where c3=3;
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call sp();
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c1 c2
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3 3
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call sp();
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c1 c2
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3 3
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drop procedure sp;
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with cte (c1,c2) as (select * from t1)
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select cte.c1+1 as col1 , cte.c2 as col2 from cte where cte.c1 > 1
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union
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select cte.c1 as col3, cte.c2+1 as col4 from cte where cte.c1 < 0;
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col1 col2
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3 1
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3 2
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prepare st from "with cte (c1,c2) as (select * from t1)
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select cte.c1+1 as col1 , cte.c2 as col2 from cte where cte.c1 > 1
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union
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select cte.c1 as col3, cte.c2+1 as col4 from cte where cte.c1 < 0";
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execute st;
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col1 col2
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3 1
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3 2
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execute st;
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col1 col2
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3 1
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3 2
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save this to the end to test errors >drop prepare st;
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create procedure sp() with cte (c1,c2) as (select * from t1)
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select cte.c1+1 as col1 , cte.c2 as col2 from cte where cte.c1 > 1
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union
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select cte.c1 as col3, cte.c2+1 as col4 from cte where cte.c1 < 0;
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call sp();
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col1 col2
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3 1
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3 2
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call sp();
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col1 col2
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3 1
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3 2
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drop procedure sp;
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insert into t1 select * from t2;
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with cte (c1, c2)
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as (select a, sum(b) from t1 where b > 1 group by a having sum(b) < 5)
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select * from cte where c1 < 4 and c2 > 1;
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c1 c2
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2 2
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# Check pushdown conditions in JSON output
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explain format=json with cte (c1, c2)
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as (select a, sum(b) from t1 where b > 1 group by a having sum(b) < 5)
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select * from cte where c1 < 4 and c2 > 1;
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EXPLAIN
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{
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"query_block": {
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"select_id": 1,
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"table": {
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"table_name": "<derived2>",
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"access_type": "ALL",
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"rows": 10,
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"filtered": 100,
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"attached_condition": "cte.c1 < 4 and cte.c2 > 1",
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"materialized": {
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"query_block": {
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"select_id": 2,
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"having_condition": "sum(t1.b) < 5 and c2 > 1",
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"filesort": {
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"sort_key": "t1.a",
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"temporary_table": {
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"table": {
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"table_name": "t1",
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"access_type": "ALL",
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"rows": 10,
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"filtered": 100,
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"attached_condition": "t1.b > 1 and t1.a < 4"
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}
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}
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}
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}
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}
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}
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}
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}
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alter table t1 add column c int;
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execute st;
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ERROR HY000: WITH column list and SELECT field list have different column counts
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drop prepare st;
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drop table t1,t2;
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Test out recursive CTEs
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create table distances (src char(1), dest char(1), distance int);
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create table city_population (city char(1), population int);
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INSERT INTO `distances` VALUES ('A','A',0),('B','A',593),('C','A',800),
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('D','A',221),('E','A',707),('F','A',869),('G','A',225),('H','A',519),
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('A','B',919),('B','B',0),('C','B',440),('D','B',79),('E','B',79),
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('F','B',154),('G','B',537),('H','B',220),('A','C',491),('B','C',794),
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('C','C',0),('D','C',100),('E','C',350),('F','C',748),('G','C',712),
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('H','C',315),('A','D',440),('B','D',256),('C','D',958),('D','D',0),
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('E','D',255),('F','D',161),('G','D',63),('H','D',831),('A','E',968),
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('B','E',345),('C','E',823),('D','E',81),('E','E',0),('F','E',436),
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('G','E',373),('H','E',558),('A','F',670),('B','F',677),('C','F',375),
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('D','F',843),('E','F',90),('F','F',0),('G','F',328),('H','F',881),
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('A','G',422),('B','G',467),('C','G',67),('D','G',936),('E','G',480),
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('F','G',592),('G','G',0),('H','G',819),('A','H',537),('B','H',229),
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('C','H',534),('D','H',984),('E','H',319),('F','H',643),('G','H',257),
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('H','H',0);
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insert into city_population values ('A', 5000), ('B', 6000), ('C', 100000),
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('D', 80000), ('E', 7000), ('F', 1000), ('G', 100), ('H', -80000);
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#find the biggest city within 300 kellikams of 'E'
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with recursive travel (src, path, dest, distance, population) as (
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select city, cast('' as varchar(10)), city,
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0, population
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from city_population where city='E'
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union all
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select src.src, concat(src.path, dst.dest), dst.dest,
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src.distance + dst.distance, dstc.population
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from travel src
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join distances dst on src.dest != dst.dest
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join city_population dstc on dst.dest = dstc.city
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where dst.src = src.dest and src.distance + dst.distance < 300
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and length(path) < 10
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)
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select * from travel where dest != 'E' order by population desc, distance
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limit 1;
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src path dest distance population
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E FD D 251 80000
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prepare st from "with recursive travel (src, path, dest, distance, population) as (
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select city, cast('' as varchar(10)), city,
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0, population
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from city_population where city='E'
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union all
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select src.src, concat(src.path, dst.dest), dst.dest,
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src.distance + dst.distance, dstc.population
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from travel src
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join distances dst on src.dest != dst.dest
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join city_population dstc on dst.dest = dstc.city
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where dst.src = src.dest and src.distance + dst.distance < 300
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and length(path) < 10
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)
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select * from travel where dest != 'E' order by population desc, distance
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limit 1";
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execute st;
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src path dest distance population
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E FD D 251 80000
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execute st;
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src path dest distance population
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E FD D 251 80000
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drop prepare st;
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create procedure sp() with recursive travel (src, path, dest, distance, population) as (
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select city, cast('' as varchar(10)), city,
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0, population
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from city_population where city='E'
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union all
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select src.src, concat(src.path, dst.dest), dst.dest,
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src.distance + dst.distance, dstc.population
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from travel src
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join distances dst on src.dest != dst.dest
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join city_population dstc on dst.dest = dstc.city
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where dst.src = src.dest and src.distance + dst.distance < 300
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and length(path) < 10
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)
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select * from travel where dest != 'E' order by population desc, distance
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limit 1;
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call sp();
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src path dest distance population
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E FD D 251 80000
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call sp();
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src path dest distance population
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E FD D 251 80000
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drop procedure sp;
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drop table distances, city_population;
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# End of 10.4 tests
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@ -1784,4 +1784,162 @@ with data as (select 1 as id)
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select id into @myid from data;
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set sql_mode= @save_sql_mode;
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--echo #
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--echo # MDEV-31995 CTE column name specification inconsistency
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--echo #
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create table t1 (a int, b int);
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insert into t1 values (1,1),(1,2),(1,3),(2,1),(2,2);
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create table t2 (a int, b int);
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insert into t2 values (3,1),(3,2),(3,3),(4,1),(4,2);
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let $q=
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with cte (c1,c2) as
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(select a as col1, sum(b) as col2 from t1 group by col1)
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select * from cte;
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eval $q;
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eval prepare st from "$q";
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execute st;
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execute st;
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drop prepare st;
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eval create procedure sp() $q;
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call sp();
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call sp();
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drop procedure sp;
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let $q=
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with cte (c1,c2) as
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(select a as col1, sum(b) as col2 from t1 order by col1)
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select * from cte;
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eval $q;
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eval prepare st from "$q";
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execute st;
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execute st;
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drop prepare st;
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eval create procedure sp() $q;
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call sp();
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call sp();
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drop procedure sp;
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let $q=
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with cte (c1,c2) as
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(select a as col1, sum(b) as col2 from t1 where a > 1 group by col1
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union select a as col3, sum(b) as col4 from t2 where b > 2 group by col3),
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cte2 (c3, c4) as
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(select a as col5, sum(b) as col6 from t1 where a <= 1 group by col5
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union select a as col7, sum(b) as col8 from t2 where b <= 2 group by col7)
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select * from cte where c1=1 union select * from cte2 where c3=3;
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eval $q;
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eval prepare st from "$q";
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execute st;
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execute st;
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drop prepare st;
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eval create procedure sp() $q;
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call sp();
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call sp();
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drop procedure sp;
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let $q=
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with cte (c1,c2) as (select * from t1)
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select cte.c1+1 as col1 , cte.c2 as col2 from cte where cte.c1 > 1
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union
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select cte.c1 as col3, cte.c2+1 as col4 from cte where cte.c1 < 0;
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eval $q;
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eval prepare st from "$q";
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execute st;
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execute st;
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--echo save this to the end to test errors >drop prepare st;
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eval create procedure sp() $q;
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call sp();
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call sp();
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drop procedure sp;
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insert into t1 select * from t2;
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let $q=
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with cte (c1, c2)
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as (select a, sum(b) from t1 where b > 1 group by a having sum(b) < 5)
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select * from cte where c1 < 4 and c2 > 1;
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eval $q;
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--echo # Check pushdown conditions in JSON output
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--source include/analyze-format.inc
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eval explain format=json $q;
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alter table t1 add column c int;
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--error ER_WITH_COL_WRONG_LIST
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execute st;
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drop prepare st;
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drop table t1,t2;
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--echo Test out recursive CTEs
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create table distances (src char(1), dest char(1), distance int);
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create table city_population (city char(1), population int);
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INSERT INTO `distances` VALUES ('A','A',0),('B','A',593),('C','A',800),
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('D','A',221),('E','A',707),('F','A',869),('G','A',225),('H','A',519),
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('A','B',919),('B','B',0),('C','B',440),('D','B',79),('E','B',79),
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('F','B',154),('G','B',537),('H','B',220),('A','C',491),('B','C',794),
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('C','C',0),('D','C',100),('E','C',350),('F','C',748),('G','C',712),
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('H','C',315),('A','D',440),('B','D',256),('C','D',958),('D','D',0),
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('E','D',255),('F','D',161),('G','D',63),('H','D',831),('A','E',968),
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('B','E',345),('C','E',823),('D','E',81),('E','E',0),('F','E',436),
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('G','E',373),('H','E',558),('A','F',670),('B','F',677),('C','F',375),
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('D','F',843),('E','F',90),('F','F',0),('G','F',328),('H','F',881),
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('A','G',422),('B','G',467),('C','G',67),('D','G',936),('E','G',480),
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('F','G',592),('G','G',0),('H','G',819),('A','H',537),('B','H',229),
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('C','H',534),('D','H',984),('E','H',319),('F','H',643),('G','H',257),
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('H','H',0);
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insert into city_population values ('A', 5000), ('B', 6000), ('C', 100000),
|
||||
('D', 80000), ('E', 7000), ('F', 1000), ('G', 100), ('H', -80000);
|
||||
|
||||
--echo #find the biggest city within 300 kellikams of 'E'
|
||||
let $q=
|
||||
with recursive travel (src, path, dest, distance, population) as (
|
||||
select city, cast('' as varchar(10)), city,
|
||||
0, population
|
||||
from city_population where city='E'
|
||||
union all
|
||||
select src.src, concat(src.path, dst.dest), dst.dest,
|
||||
src.distance + dst.distance, dstc.population
|
||||
from travel src
|
||||
join distances dst on src.dest != dst.dest
|
||||
join city_population dstc on dst.dest = dstc.city
|
||||
where dst.src = src.dest and src.distance + dst.distance < 300
|
||||
and length(path) < 10
|
||||
)
|
||||
select * from travel where dest != 'E' order by population desc, distance
|
||||
limit 1;
|
||||
|
||||
eval $q;
|
||||
|
||||
eval prepare st from "$q";
|
||||
execute st;
|
||||
execute st;
|
||||
drop prepare st;
|
||||
|
||||
eval create procedure sp() $q;
|
||||
call sp();
|
||||
call sp();
|
||||
drop procedure sp;
|
||||
|
||||
drop table distances, city_population;
|
||||
|
||||
--echo # End of 10.4 tests
|
||||
|
@ -1198,7 +1198,7 @@ With_element::rename_columns_of_derived_unit(THD *thd,
|
||||
/* Rename the columns of the first select in the unit */
|
||||
while ((item= it++, name= nm++))
|
||||
{
|
||||
item->set_name(thd, name->str, (uint) name->length, system_charset_info);
|
||||
lex_string_set(&item->name, name->str);
|
||||
item->is_autogenerated_name= false;
|
||||
}
|
||||
|
||||
|
@ -1335,6 +1335,13 @@ bool mysql_derived_reinit(THD *thd, LEX *lex, TABLE_LIST *derived)
|
||||
(derived->alias.str ? derived->alias.str : "<NULL>"),
|
||||
derived->get_unit()));
|
||||
st_select_lex_unit *unit= derived->get_unit();
|
||||
st_select_lex *sl= unit->first_select();
|
||||
|
||||
// reset item names to that saved after wildcard expansion in JOIN::prepare
|
||||
do
|
||||
{
|
||||
sl->restore_item_list_names();
|
||||
} while ((sl= sl->next_select()));
|
||||
|
||||
derived->merged_for_insert= FALSE;
|
||||
unit->unclean();
|
||||
|
@ -2445,6 +2445,7 @@ void st_select_lex::init_query()
|
||||
in_tvc= false;
|
||||
versioned_tables= 0;
|
||||
pushdown_select= 0;
|
||||
orig_names_of_item_list_elems= 0;
|
||||
}
|
||||
|
||||
void st_select_lex::init_select()
|
||||
@ -2491,6 +2492,7 @@ void st_select_lex::init_select()
|
||||
in_tvc= false;
|
||||
versioned_tables= 0;
|
||||
is_tvc_wrapper= false;
|
||||
orig_names_of_item_list_elems= 0;
|
||||
}
|
||||
|
||||
/*
|
||||
@ -10419,6 +10421,71 @@ exit:
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
@brief
|
||||
Save the original names of items from the item list.
|
||||
|
||||
@retval
|
||||
true - if an error occurs
|
||||
false - otherwise
|
||||
*/
|
||||
|
||||
bool st_select_lex::save_item_list_names(THD *thd)
|
||||
{
|
||||
if (orig_names_of_item_list_elems)
|
||||
return false;
|
||||
|
||||
Query_arena *arena, backup;
|
||||
arena= thd->activate_stmt_arena_if_needed(&backup);
|
||||
|
||||
if (unlikely(!(orig_names_of_item_list_elems= new(thd->mem_root)
|
||||
List<Lex_ident_sys>)))
|
||||
return true;
|
||||
|
||||
List_iterator_fast<Item> li(item_list);
|
||||
Item *item;
|
||||
|
||||
while ((item= li++))
|
||||
{
|
||||
if (unlikely(orig_names_of_item_list_elems->push_back(
|
||||
new Lex_ident_sys(item->name.str, item->name.length))))
|
||||
{
|
||||
if (arena)
|
||||
thd->restore_active_arena(arena, &backup);
|
||||
orig_names_of_item_list_elems= 0;
|
||||
return true;
|
||||
}
|
||||
}
|
||||
|
||||
if (arena)
|
||||
thd->restore_active_arena(arena, &backup);
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
@brief
|
||||
Restore the name of each item in the item_list of this st_select_lex
|
||||
from orig_names_of_item_list_elems.
|
||||
*/
|
||||
|
||||
void st_select_lex::restore_item_list_names()
|
||||
{
|
||||
if (!orig_names_of_item_list_elems)
|
||||
return;
|
||||
|
||||
DBUG_ASSERT(item_list.elements == orig_names_of_item_list_elems->elements);
|
||||
|
||||
List_iterator_fast<Lex_ident_sys> it(*orig_names_of_item_list_elems);
|
||||
Lex_ident_sys *new_name;
|
||||
List_iterator_fast<Item> li(item_list);
|
||||
Item *item;
|
||||
|
||||
while ((item= li++) && (new_name= it++))
|
||||
lex_string_set( &item->name, new_name->str);
|
||||
}
|
||||
|
||||
bool LEX::stmt_install_plugin(const DDL_options_st &opt,
|
||||
const Lex_ident_sys_st &name,
|
||||
const LEX_CSTRING &soname)
|
||||
|
@ -1381,6 +1381,9 @@ public:
|
||||
bool straight_fl);
|
||||
TABLE_LIST *convert_right_join();
|
||||
List<Item>* get_item_list();
|
||||
bool save_item_list_names(THD *thd);
|
||||
void restore_item_list_names();
|
||||
|
||||
ulong get_table_join_options();
|
||||
void set_lock_for_tables(thr_lock_type lock_type, bool for_update);
|
||||
/*
|
||||
@ -1568,6 +1571,11 @@ private:
|
||||
index_clause_map current_index_hint_clause;
|
||||
/* a list of USE/FORCE/IGNORE INDEX */
|
||||
List<Index_hint> *index_hints;
|
||||
/*
|
||||
This list is used to restore the names of items
|
||||
from item_list after each execution of the statement.
|
||||
*/
|
||||
List<Lex_ident_sys> *orig_names_of_item_list_elems;
|
||||
|
||||
public:
|
||||
inline void add_where_field(st_select_lex *sel)
|
||||
|
@ -1311,6 +1311,26 @@ JOIN::prepare(TABLE_LIST *tables_init,
|
||||
&select_lex->hidden_bit_fields))
|
||||
DBUG_RETURN(-1);
|
||||
|
||||
/*
|
||||
If the select_lex is immediately contained within a derived table
|
||||
AND this derived table is a CTE
|
||||
WITH supplied column names
|
||||
AND we have the correct number of elements in both lists
|
||||
(mismatches found in mysql_derived_prepare/rename_columns_of_derived_unit)
|
||||
THEN NOW is the time to take a copy of these item_names for
|
||||
later restoration if required.
|
||||
*/
|
||||
TABLE_LIST *derived= select_lex->master_unit()->derived;
|
||||
|
||||
if (derived &&
|
||||
derived->with &&
|
||||
derived->with->column_list.elements &&
|
||||
(derived->with->column_list.elements == select_lex->item_list.elements))
|
||||
{
|
||||
if (select_lex->save_item_list_names(thd))
|
||||
DBUG_RETURN(-1);
|
||||
}
|
||||
|
||||
if (thd->lex->current_select->first_cond_optimization)
|
||||
{
|
||||
if ( conds && ! thd->lex->current_select->merged_into)
|
||||
|
Reference in New Issue
Block a user