## 7.3. Select Lists

As shown in the previous section, the table expression in the `SELECT` command constructs an intermediate virtual table by possibly combining tables, views, eliminating rows, grouping, etc. This table is finally passed on to processing by the select list. The select list determines which columns of the intermediate table are actually output.

### 7.3.1. Select-List Items

The simplest kind of select list is `*` which emits all columns that the table expression produces. Otherwise, a select list is a comma-separated list of value expressions (as defined in Section 4.2, “Value Expressions”). For instance, it could be a list of column names:

    SELECT a, b, c FROM ...

The columns names `a`, `b`, and `c` are either the actual names of the columns of tables referenced in the `FROM` clause, or the aliases given to them as explained in Section 7.2.1.2, “Table and Column Aliases”. The name space available in the select list is the same as in the `WHERE` clause, unless grouping is used, in which case it is the same as in the `HAVING` clause.

If more than one table has a column of the same name, the table name must also be given, as in:

    SELECT tbl1.a, tbl2.a, tbl1.b FROM ...

When working with multiple tables, it can also be useful to ask for all the columns of a particular table:

    SELECT tbl1.*, tbl2.a FROM ...

See Section 8.16.5, “Using Composite Types in Queries” for more about the `table_name``.*` notation.

If an arbitrary value expression is used in the select list, it conceptually adds a new virtual column to the returned table. The value expression is evaluated once for each result row, with the row's values substituted for any column references. But the expressions in the select list do not have to reference any columns in the table expression of the `FROM` clause; they can be constant arithmetic expressions, for instance.

### 7.3.2. Column Labels

The entries in the select list can be assigned names for subsequent processing, such as for use in an `ORDER BY` clause or for display by the client application. For example:

    SELECT a AS value, b + c AS sum FROM ...

If no output column name is specified using `AS`, the system assigns a default column name. For simple column references, this is the name of the referenced column. For function calls, this is the name of the function. For complex expressions, the system will generate a generic name.

The `AS` keyword is optional, but only if the new column name does not match any Postgres Pro keyword (see Appendix C, SQL Key Words). To avoid an accidental match to a keyword, you can double-quote the column name. For example, `VALUE` is a keyword, so this does not work:

    SELECT a value, b + c AS sum FROM ...

but this does:

    SELECT a "value", b + c AS sum FROM ...

For protection against possible future keyword additions, it is recommended that you always either write `AS` or double-quote the output column name.

### Note

The naming of output columns here is different from that done in the `FROM` clause (see Section 7.2.1.2, “Table and Column Aliases”). It is possible to rename the same column twice, but the name assigned in the select list is the one that will be passed on.

### 7.3.3. `DISTINCT`

After the select list has been processed, the result table can optionally be subject to the elimination of duplicate rows. The `DISTINCT` key word is written directly after `SELECT` to specify this:

    SELECT DISTINCT select_list ...

(Instead of `DISTINCT` the key word `ALL` can be used to specify the default behavior of retaining all rows.)

Obviously, two rows are considered distinct if they differ in at least one column value. Null values are considered equal in this comparison.

Alternatively, an arbitrary expression can determine what rows are to be considered distinct:

    SELECT DISTINCT ON (expression [, expression ...]) select_list ...

Here `expression` is an arbitrary value expression that is evaluated for all rows. A set of rows for which all the expressions are equal are considered duplicates, and only the first row of the set is kept in the output. Note that the “first row” of a set is unpredictable unless the query is sorted on enough columns to guarantee a unique ordering of the rows arriving at the `DISTINCT` filter. (`DISTINCT ON` processing occurs after `ORDER BY` sorting.)

The `DISTINCT ON` clause is not part of the SQL standard and is sometimes considered bad style because of the potentially indeterminate nature of its results. With judicious use of `GROUP BY` and subqueries in `FROM`, this construct can be avoided, but it is often the most convenient alternative.