A derived table cannot normally refer to (depend on) columns of
preceding tables in the same FROM
clause. As
of MySQL 8.0.14, a derived table may be defined as a lateral
derived table to specify that such references are permitted.
Nonlateral derived tables are specified using the syntax
discussed in Section 15.2.15.8, “Derived Tables”. The syntax for a
lateral derived table is the same as for a nonlateral derived
table except that the keyword LATERAL
is
specified before the derived table specification. The
LATERAL
keyword must precede each table to be
used as a lateral derived table.
Lateral derived tables are subject to these restrictions:
A lateral derived table can occur only in a
FROM
clause, either in a list of tables separated with commas or in a join specification (JOIN
,INNER JOIN
,CROSS JOIN
,LEFT [OUTER] JOIN
, orRIGHT [OUTER] JOIN
).If a lateral derived table is in the right operand of a join clause and contains a reference to the left operand, the join operation must be an
INNER JOIN
,CROSS JOIN
, orLEFT [OUTER] JOIN
.If the table is in the left operand and contains a reference to the right operand, the join operation must be an
INNER JOIN
,CROSS JOIN
, orRIGHT [OUTER] JOIN
.If a lateral derived table references an aggregate function, the function's aggregation query cannot be the one that owns the
FROM
clause in which the lateral derived table occurs.In accordance with the SQL standard, MySQL always treats a join with a table function such as
JSON_TABLE()
as thoughLATERAL
had been used. This is true regardless of MySQL release version, which is why it is possible to join against this function even in MySQL versions prior to 8.0.14. In MySQL 8.0.14 and later, theLATERAL
keyword is implicit, and is not allowed beforeJSON_TABLE()
. This is also according to the SQL standard.
The following discussion shows how lateral derived tables make possible certain SQL operations that cannot be done with nonlateral derived tables or that require less-efficient workarounds.
Suppose that we want to solve this problem: Given a table of people in a sales force (where each row describes a member of the sales force), and a table of all sales (where each row describes a sale: salesperson, customer, amount, date), determine the size and customer of the largest sale for each salesperson. This problem can be approached two ways.
First approach to solving the problem: For each salesperson, calculate the maximum sale size, and also find the customer who provided this maximum. In MySQL, that can be done like this:
SELECT
salesperson.name,
-- find maximum sale size for this salesperson
(SELECT MAX(amount) AS amount
FROM all_sales
WHERE all_sales.salesperson_id = salesperson.id)
AS amount,
-- find customer for this maximum size
(SELECT customer_name
FROM all_sales
WHERE all_sales.salesperson_id = salesperson.id
AND all_sales.amount =
-- find maximum size, again
(SELECT MAX(amount) AS amount
FROM all_sales
WHERE all_sales.salesperson_id = salesperson.id))
AS customer_name
FROM
salesperson;
That query is inefficient because it calculates the maximum size twice per salesperson (once in the first subquery and once in the second).
We can try to achieve an efficiency gain by calculating the maximum once per salesperson and “caching” it in a derived table, as shown by this modified query:
SELECT
salesperson.name,
max_sale.amount,
max_sale_customer.customer_name
FROM
salesperson,
-- calculate maximum size, cache it in transient derived table max_sale
(SELECT MAX(amount) AS amount
FROM all_sales
WHERE all_sales.salesperson_id = salesperson.id)
AS max_sale,
-- find customer, reusing cached maximum size
(SELECT customer_name
FROM all_sales
WHERE all_sales.salesperson_id = salesperson.id
AND all_sales.amount =
-- the cached maximum size
max_sale.amount)
AS max_sale_customer;
However, the query is illegal in SQL-92 because derived tables
cannot depend on other tables in the same
FROM
clause. Derived tables must be constant
over the query's duration, not contain references to columns of
other FROM
clause tables. As written, the
query produces this error:
ERROR 1054 (42S22): Unknown column 'salesperson.id' in 'where clause'
In SQL:1999, the query becomes legal if the derived tables are
preceded by the LATERAL
keyword (which means
“this derived table depends on previous tables on its left
side”):
SELECT
salesperson.name,
max_sale.amount,
max_sale_customer.customer_name
FROM
salesperson,
-- calculate maximum size, cache it in transient derived table max_sale
LATERAL
(SELECT MAX(amount) AS amount
FROM all_sales
WHERE all_sales.salesperson_id = salesperson.id)
AS max_sale,
-- find customer, reusing cached maximum size
LATERAL
(SELECT customer_name
FROM all_sales
WHERE all_sales.salesperson_id = salesperson.id
AND all_sales.amount =
-- the cached maximum size
max_sale.amount)
AS max_sale_customer;
A lateral derived table need not be constant and is brought up to date each time a new row from a preceding table on which it depends is processed by the top query.
Second approach to solving the problem: A different solution
could be used if a subquery in the
SELECT
list could return multiple
columns:
SELECT
salesperson.name,
-- find maximum size and customer at same time
(SELECT amount, customer_name
FROM all_sales
WHERE all_sales.salesperson_id = salesperson.id
ORDER BY amount DESC LIMIT 1)
FROM
salesperson;
That is efficient but illegal. It does not work because such subqueries can return only a single column:
ERROR 1241 (21000): Operand should contain 1 column(s)
One attempt at rewriting the query is to select multiple columns from a derived table:
SELECT
salesperson.name,
max_sale.amount,
max_sale.customer_name
FROM
salesperson,
-- find maximum size and customer at same time
(SELECT amount, customer_name
FROM all_sales
WHERE all_sales.salesperson_id = salesperson.id
ORDER BY amount DESC LIMIT 1)
AS max_sale;
However, that also does not work. The derived table is dependent
on the salesperson
table and thus fails
without LATERAL
:
ERROR 1054 (42S22): Unknown column 'salesperson.id' in 'where clause'
Adding the LATERAL
keyword makes the query
legal:
SELECT
salesperson.name,
max_sale.amount,
max_sale.customer_name
FROM
salesperson,
-- find maximum size and customer at same time
LATERAL
(SELECT amount, customer_name
FROM all_sales
WHERE all_sales.salesperson_id = salesperson.id
ORDER BY amount DESC LIMIT 1)
AS max_sale;
In short, LATERAL
is the efficient solution
to all drawbacks in the two approaches just discussed.