Data types are a way to limit the kind of data that can be stored in a table. For many applications, however, the constraint they provide is too coarse. For example, a column containing a product price should probably only accept positive values. But there is no standard data type that accepts only positive numbers. Another issue is that you might want to constrain column data with respect to other columns or rows. For example, in a table containing product information, there should be only one

Internally, a GIN index contains a B-tree index constructed over keys, where each key is an element of one or more indexed items (a member of an array, for example) and where each tuple in a leaf page contains either a pointer to a B-tree of heap pointers (a "posting tree"), or a simple list of heap pointers (a "posting list") when the list is small enough to fit into a single index tuple along with the key value. As of PostgreSQL 9.1, null key values can be included in the index. Also, placeho

The functions described in this section are used to control and monitor a PostgreSQL installation. 9.26.1. Configuration Settings Functions Table 9-76 shows the functions available to query and alter run-time configuration parameters. Table 9-76. Configuration Settings Functions Name Return Type Description current_setting(setting_name [, missing_ok ]) text get current value of setting set_config(setting_name, new_value, is_local) text set parameter and return new value The function current

When the optimizer determines that parallel query is the fastest execution strategy for a particular query, it will create a query plan which includes a Gather node. Here is a simple example: EXPLAIN SELECT * FROM pgbench_accounts WHERE filler LIKE '%x%'; QUERY PLAN ------------------------------------------------------------------------------------- Gather (cost=1000.00..217018.43 rows=1 width=97) Workers Planned:

The usual logical operators are available: AND OR NOT SQL uses a three-valued logic system with true, false, and null, which represents "unknown". Observe the following truth tables: a b a AND b a OR b TRUE TRUE TRUE TRUE TRUE FALSE FALSE TRUE TRUE NULL NULL TRUE FALSE FALSE FALSE FALSE FALSE NULL FALSE NULL NULL NULL NULL NULL a NOT a TRUE FALSE FALSE TRUE NULL NULL The operators AND and OR are commutative, that is, you can switch the left and right operand without affecting the

Information about text search configuration objects can be obtained in psql using a set of commands: \dF{d,p,t}[+] [PATTERN] An optional + produces more details. The optional parameter PATTERN can be the name of a text search object, optionally schema-qualified. If PATTERN is omitted then information about all visible objects will be displayed. PATTERN can be a regular expression and can provide separate patterns for the schema and object names. The following examples illustrate this: =>

PostgreSQL databases require periodic maintenance known as vacuuming. For many installations, it is sufficient to let vacuuming be performed by the autovacuum daemon, which is described in Section 24.1.6. You might need to adjust the autovacuuming parameters described there to obtain best results for your situation. Some database administrators will want to supplement or replace the daemon's activities with manually-managed VACUUM commands, which typically are executed according to a schedule b

The catalog pg_shdepend records the dependency relationships between database objects and shared objects, such as roles. This information allows PostgreSQL to ensure that those objects are unreferenced before attempting to delete them. See also pg_depend, which performs a similar function for dependencies involving objects within a single database. Unlike most system catalogs, pg_shdepend is shared across all databases of a cluster: there is only one copy of pg_shdepend per cluster, not one per

NameALTER TYPE -- change the definition of a type Synopsis ALTER TYPE name action [, ... ] ALTER TYPE name OWNER TO { new_owner | CURRENT_USER | SESSION_USER } ALTER TYPE name RENAME ATTRIBUTE attribute_name TO new_attribute_name [ CASCADE | RESTRICT ] ALTER TYPE name RENAME TO new_name ALTER TYPE name SET SCHEMA new_schema ALTER TYPE name ADD VALUE [ IF NOT EXISTS ] new_enum_value [ { BEFORE | AFTER } existing_enum_value ] where action is one of: ADD ATTRIBUTE attribute_name data_t

NameCREATE CAST -- define a new cast Synopsis CREATE CAST (source_type AS target_type) WITH FUNCTION function_name (argument_type [, ...]) [ AS ASSIGNMENT | AS IMPLICIT ] CREATE CAST (source_type AS target_type) WITHOUT FUNCTION [ AS ASSIGNMENT | AS IMPLICIT ] CREATE CAST (source_type AS target_type) WITH INOUT [ AS ASSIGNMENT | AS IMPLICIT ] Description CREATE CAST defines a new cast. A cast specifies how to perform a conversion between two data types. For e