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090bc713a4
Added test case for bug #4767. item_sum.cc: Added a correct setting of the maybe_null flag for a copy of an Item_sum object where the argument was a field of an inner table in an outer join read from a temporary table. It's part of the fix for bug #4767. sql_select.cc: Made change_refs_to_tmp_fields work correctly for test case of bug #4767 where Item_sum::get_tmp_table_item failed to build a correct copy of an Item_sum object referring to a field in a temporary table. It looks like a hack yet. sql/sql_select.cc: Made change_refs_to_tmp_fields work correctly for test case of bug #4767 where Item_sum::get_tmp_table_item failed to build a copy of an Item_sum object referring to a field in a temporary table. It looks like a hack yet. sql/item_sum.cc: Added a correct setting of maybe_null flag for copy of a Item_sum object where there argument is a field of nullable table read from the temporary table. It's part of the fix for bug #4767. mysql-test/r/olap.result: Added test case for bug #4767. mysql-test/t/olap.test: Added test case for bug #4767.
128 lines
5.1 KiB
Plaintext
128 lines
5.1 KiB
Plaintext
--disable_warnings
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drop table if exists t1,t2;
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--enable_warnings
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create table t1 (product varchar(32), country_id int not null, year int, profit int);
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insert into t1 values ( 'Computer', 2,2000, 1200),
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( 'TV', 1, 1999, 150),
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( 'Calculator', 1, 1999,50),
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( 'Computer', 1, 1999,1500),
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( 'Computer', 1, 2000,1500),
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( 'TV', 1, 2000, 150),
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( 'TV', 2, 2000, 100),
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( 'TV', 2, 2000, 100),
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( 'Calculator', 1, 2000,75),
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( 'Calculator', 2, 2000,75),
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( 'TV', 1, 1999, 100),
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( 'Computer', 1, 1999,1200),
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( 'Computer', 2, 2000,1500),
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( 'Calculator', 2, 2000,75),
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( 'Phone', 3, 2003,10)
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;
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create table t2 (country_id int primary key, country char(20) not null);
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insert into t2 values (1, 'USA'),(2,'India'), (3,'Finland');
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# First simple rollups, with just grand total
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select product, sum(profit) from t1 group by product;
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select product, sum(profit) from t1 group by product with rollup;
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select product, sum(profit) from t1 group by 1 with rollup;
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select product, sum(profit),avg(profit) from t1 group by product with rollup;
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# Sub totals
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select product, country_id , year, sum(profit) from t1 group by product, country_id, year;
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select product, country_id , year, sum(profit) from t1 group by product, country_id, year with rollup;
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explain extended select product, country_id , year, sum(profit) from t1 group by product, country_id, year with rollup;
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select product, country_id , sum(profit) from t1 group by product desc, country_id with rollup;
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# limit
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select product, country_id , year, sum(profit) from t1 group by product, country_id, year with rollup limit 5;
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select product, country_id , year, sum(profit) from t1 group by product, country_id, year with rollup limit 3,3;
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select product, country_id, count(*), count(distinct year) from t1 group by product, country_id;
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select product, country_id, count(*), count(distinct year) from t1 group by product, country_id with rollup;
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# Test of having
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select product, country_id , year, sum(profit) from t1 group by product, country_id, year with rollup having country_id = 1;
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select product, country_id , year, sum(profit) from t1 group by product, country_id, year with rollup having sum(profit) > 200;
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select product, country_id , year, sum(profit) from t1 group by product, country_id, year with rollup having sum(profit) > 7000;
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# Functions
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select concat(product,':',country_id) as 'prod', concat(":",year,":") as 'year',1+1, sum(profit)/count(*) from t1 group by 1,2 with rollup;
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select product, sum(profit)/count(*) from t1 group by product with rollup;
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select left(product,4) as prod, sum(profit)/count(*) from t1 group by prod with rollup;
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select concat(product,':',country_id), 1+1, sum(profit)/count(*) from t1 group by concat(product,':',country_id) with rollup;
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# Joins
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select product, country , year, sum(profit) from t1,t2 where t1.country_id=t2.country_id group by product, country, year with rollup;
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# Derived tables and sub selects
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select product, `sum` from (select product, sum(profit) as 'sum' from t1 group by product with rollup) as tmp where product is null;
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select product from t1 where exists (select product, country_id , sum(profit) from t1 as t2 where t1.product=t2.product group by product, country_id with rollup having sum(profit) > 6000);
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# The following doesn't return the expected answer, but this is a limitation
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# in the implementation so we should just document it
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select product, country_id , year, sum(profit) from t1 group by product, country_id, year having country_id is NULL;
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select concat(':',product,':'), sum(profit),avg(profit) from t1 group by product with rollup;
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# Error handling
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# Cube is not yet implemented
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--error 1235
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select product, country_id , year, sum(profit) from t1 group by product, country_id, year with cube;
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--error 1235
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explain select product, country_id , year, sum(profit) from t1 group by product, country_id, year with cube;
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--error 1235
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select product, country_id , year, sum(profit) from t1 group by product, country_id, year with cube union all select product, country_id , year, sum(profit) from t1 group by product, country_id, year with rollup;
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drop table t1,t2;
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#
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# Test bug with const tables
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#
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CREATE TABLE t1 (i int);
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INSERT INTO t1 VALUES(100);
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CREATE TABLE t2 (i int);
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INSERT INTO t2 VALUES (100),(200);
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SELECT i, COUNT(*) FROM t1 GROUP BY i WITH ROLLUP;
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SELECT t1.i, t2.i, COUNT(*) FROM t1,t2 GROUP BY t1.i,t2.i WITH ROLLUP;
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drop table t1,t2;
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#bug #4767: ROLLUP with LEFT JOIN
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CREATE TABLE user_day(
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user_id INT NOT NULL,
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date DATE NOT NULL,
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UNIQUE INDEX user_date (user_id, date)
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);
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INSERT INTO user_day VALUES
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(1, '2004-06-06' ),
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(1, '2004-06-07' ),
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(2, '2004-06-06' );
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SELECT
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d.date AS day,
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COUNT(d.user_id) as sample,
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COUNT(next_day.user_id) AS not_cancelled
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FROM user_day d
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LEFT JOIN user_day next_day
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ON next_day.user_id=d.user_id AND
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next_day.date= DATE_ADD( d.date, interval 1 day )
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GROUP BY day;
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SELECT
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d.date AS day,
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COUNT(d.user_id) as sample,
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COUNT(next_day.user_id) AS not_cancelled
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FROM user_day d
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LEFT JOIN user_day next_day
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ON next_day.user_id=d.user_id AND
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next_day.date= DATE_ADD( d.date, interval 1 day )
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GROUP BY day
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WITH ROLLUP;
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DROP TABLE user_day;
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