# § 7.3. Record patterns

Record field selection can also be done through pattern matching. Standard ML has the following patterns.

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The first pattern matches a record having the specified set of labels, and the second pattern matches any record containing the set of specified labels. When only a label is specified in a field then it is interpreted as a variable with the same name is specified. For example, a pattern {X, Y} is interpreted as {X = X, Y = Y}. The following are examples of field selection through record patterns.

# fun f {X=x,Y=y} = (x,y);

val f = _ = ['a, 'b. {X:'a, Y:'b} -> 'a * 'b]

# fun f {X=x,Y=y,...} = (x,y);

val f = _ = ['a#{X:'b, Y:'c}, 'b, 'c. 'a -> 'a * 'b]

# fun f {X,Y,...} = (X,Y);

val f = _ = ['a#{X:'b, Y:'c}, 'b, 'c. 'a -> 'a * 'b]

Record pattern can be freely combined with other patterns.

# fun f ({X,...}::_) = X;

val f = _ = ['a#{X:'b},b. 'a list -> 'b]

In this example, f takes a list of records containing X field, and returns the X field of the first record in the list.