#### 13.2.11.9 Lateral Derived Tables

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 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 13.2.11.8, “Derived Tables”](derived-tables.html). 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`, or `RIGHT [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`, or `LEFT [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`, or `RIGHT [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()`](json-table-functions.html#function_json-table) as though `LATERAL` 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, the `LATERAL` keyword is implicit, and is not allowed before `JSON_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`](select.html) 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.

