When a row on one table is related to one or more rows in another table This is called a?

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DML Commands - General

Updates specified rows in the target table with new values.

In this Topic:

Syntax¶

UPDATE 
       SET  =  [ ,  =  , ... ]
        [ FROM  ]
        [ WHERE  ]

Required Parameters¶

target_table

Specifies the table to update.

col_name

Specifies the name of a column in target_table. Do not include the table name. For example, UPDATE t1 SET t1.col = 1 is invalid.

value

Specifies the new value to set in col_name.

Optional Parameters¶

FROM additional_tables

Specifies one or more tables to use for selecting rows to update or for setting new values. Note that repeating the target table results in a self-join.

WHERE condition

Expression that specifies the rows in the target table to update.

Default: No value (all rows of the target table are updated)

Usage Notes¶

  • When a FROM clause contains a JOIN between tables (e.g. t1 and t2), a target row in t1 may join against (i.e. match) more than one row in table t2. When this occurs, the target row is called a multi-joined row. When updating a multi-joined row, the ERROR_ON_NONDETERMINISTIC_UPDATE session parameter controls the outcome of the update:

    • If FALSE (default value), no error is returned and one of the joined rows is used to update the target row; however, the selected joined row is nondeterministic.

    • IF TRUE, an error is returned, including an example of the values of a target row that joins multiple rows.

    To set the parameter:

    ALTER SESSION SET ERROR_ON_NONDETERMINISTIC_UPDATE=TRUE;
    

Examples¶

Perform a standard update using two tables:

UPDATE t1
  SET number_column = t1.number_column + t2.number_column, t1.text_column = 'ASDF'
  FROM t2
  WHERE t1.key_column = t2.t1_key and t1.number_column < 10;

Update with join that produces nondeterministic results:

select * from target;

+---+----+
| K |  V |
|---+----|
| 0 | 10 |
+---+----+

Select * from src;

+---+----+
| K |  V |
|---+----|
| 0 | 11 |
| 0 | 12 |
| 0 | 13 |
+---+----+

-- Following statement joins all three rows in src against the single row in target
UPDATE target
  SET v = src.v
  FROM src
  WHERE target.k = src.k;

+------------------------+-------------------------------------+
| number of rows updated | number of multi-joined rows updated |
|------------------------+-------------------------------------|
|                      1 |                                   1 |
+------------------------+-------------------------------------+

  • With ERROR_ON_NONDETERMINISTIC_UPDATE = FALSE, the statement randomly updates the single row in target using values from one of the following rows in src:

    (0, 11) , (0, 12) , (0,13)

  • With ERROR_ON_NONDETERMINISTIC_UPDATE = TRUE, an error is returned reporting a duplicate DML row [0, 10].

To avoid this nondeterministic behavior and error, use a 1-to-1 join:

UPDATE target SET v = b.v
  FROM (SELECT k, MIN(v) v FROM src GROUP BY k) b
  WHERE target.k = b.k;

This statement results in the single row in target updated to (0, 11) (values from the row with the minimum value for v in src) and will never result in an error.

When a row in one table can be associated with one or more rows in another table and vice versa This is called a?

One-to-one relationships In a one-to-one relationship, a row in table A can have no more than one matching row in table B, and vice versa. A one-to-one relationship is created if both of the related columns are primary keys or have unique constraints.

What is a one

A one-to-one relationship is a link between the information in two tables, where each record in each table only appears once. For example, there might be a one-to-one relationship between employees and the cars they drive.

What is it called when one record from a table can be associated with only one record from another table?

A one-to-one relationship. In a one-to-one relationship, each record in the first table can have only one matching record in the second table, and each record in the second table can have only one matching record in the first table.
A relationship is a connection between two tables that contain data: one column in each table is the basis for the relationship. To see why relationships are useful, imagine that you track data for customer orders in your business. You could track all the data in a single table having a structure like this: CustomerID.