Alternative to Intersect in MySQL

Question

I need to implement the following query in MySQL.

(select * from emovis_reporting where (id=3 and cut_name= \'全プロセス\' and cut_name=\'恐慌\') ) 
intersect
( sel         


        

Answer 1

SELECT
  campo1,
  campo2,
  campo3,
  campo4
FROM tabela1
WHERE CONCAT(campo1,campo2,campo3,IF(campo4 IS NULL,'',campo4))
NOT IN
(SELECT CONCAT(campo1,campo2,campo3,IF(campo4 IS NULL,'',campo4))
FROM tabela2);

Answer 2

I just checked it in MySQL 5.7 and am really surprised how no one offered a simple answer: NATURAL JOIN

When the tables or (select outcome) have IDENTICAL columns, you can use NATURAL JOIN as a way to find intersection:

For example:

table1:

id, name, jobid

'1', 'John', '1'

'2', 'Jack', '3'

'3', 'Adam', '2'

'4', 'Bill', '6'

table2:

id, name, jobid

'1', 'John', '1'

'2', 'Jack', '3'

'3', 'Adam', '2'

'4', 'Bill', '5'

'5', 'Max', '6'

And here is the query:

SELECT * FROM table1 NATURAL JOIN table2;

Query Result: id, name, jobid

'1', 'John', '1'

'2', 'Jack', '3'

'3', 'Adam', '2'

Answer 3

Microsoft SQL Server's INTERSECT "returns any distinct values that are returned by both the query on the left and right sides of the INTERSECT operand" This is different from a standard INNER JOIN or WHERE EXISTS query.

SQL Server

CREATE TABLE table_a (
    id INT PRIMARY KEY,
    value VARCHAR(255)
);

CREATE TABLE table_b (
    id INT PRIMARY KEY,
    value VARCHAR(255)
);

INSERT INTO table_a VALUES (1, 'A'), (2, 'B'), (3, 'B');
INSERT INTO table_b VALUES (1, 'B');

SELECT value FROM table_a
INTERSECT
SELECT value FROM table_b

value
-----
B

(1 rows affected)

MySQL

CREATE TABLE `table_a` (
  `id` INT NOT NULL AUTO_INCREMENT,
  `value` varchar(255),
  PRIMARY KEY (`id`)
) ENGINE=InnoDB;

CREATE TABLE `table_b` LIKE `table_a`;

INSERT INTO table_a VALUES (1, 'A'), (2, 'B'), (3, 'B');
INSERT INTO table_b VALUES (1, 'B');

SELECT value FROM table_a
INNER JOIN table_b
USING (value);

+-------+
| value |
+-------+
| B     |
| B     |
+-------+
2 rows in set (0.00 sec)

SELECT value FROM table_a
WHERE (value) IN
(SELECT value FROM table_b);

+-------+
| value |
+-------+
| B     |
| B     |
+-------+

With this particular question, the id column is involved, so duplicate values will not be returned, but for the sake of completeness, here's a MySQL alternative using INNER JOIN and DISTINCT:

SELECT DISTINCT value FROM table_a
INNER JOIN table_b
USING (value);

+-------+
| value |
+-------+
| B     |
+-------+

And another example using WHERE ... IN and DISTINCT:

SELECT DISTINCT value FROM table_a
WHERE (value) IN
(SELECT value FROM table_b);

+-------+
| value |
+-------+
| B     |
+-------+

Answer 4

Break your problem in 2 statements: firstly, you want to select all if

(id=3 and cut_name= '全プロセス' and cut_name='恐慌')

is true . Secondly, you want to select all if

(id=3) and ( cut_name='全プロセス' or cut_name='恐慌')

is true. So, we will join both by OR because we want to select all if anyone of them is true.

select * from emovis_reporting
    where (id=3 and cut_name= '全プロセス' and cut_name='恐慌') OR
        ( (id=3) and ( cut_name='全プロセス' or cut_name='恐慌') )

Answer 5

For completeness here is another method for emulating INTERSECT. Note that the IN (SELECT ...) form suggested in other answers is generally more efficient.

Generally for a table called mytable with a primary key called id:

SELECT id
FROM mytable AS a
INNER JOIN mytable AS b ON a.id = b.id
WHERE
(a.col1 = "someval")
AND
(b.col1 = "someotherval")

(Note that if you use SELECT * with this query you will get twice as many columns as are defined in mytable, this is because INNER JOIN generates a Cartesian product)

The INNER JOIN here generates every permutation of row-pairs from your table. That means every combination of rows is generated, in every possible order. The WHERE clause then filters the a side of the pair, then the b side. The result is that only rows which satisfy both conditions are returned, just like intersection two queries would do.

Answer 6

There is a more effective way of generating an intersect, by using UNION ALL and GROUP BY. Performances are twice better according to my tests on large datasets.

Example:

SELECT t1.value from (
  (SELECT DISTINCT value FROM table_a)
  UNION ALL 
  (SELECT DISTINCT value FROM table_b)
) AS t1 GROUP BY value HAVING count(*) >= 2;

It is more effective, because with the INNER JOIN solution, MySQL will look up for the results of the first query, then for each row, look up for the result in the second query. With the UNION ALL-GROUP BY solution, it will query results of the first query, results of the second query, then group the results all together at once.