Because each worker executes the parallel portion of the plan to completion, it is not possible to simply take an ordinary query plan and run it using multiple workers. Each worker would produce a full copy of the output result set, so the query would not run any faster than normal but would produce incorrect results. Instead, the parallel portion of the plan must be what is known internally to the query optimizer as a partial plan; that is, it must constructed so that each process will which e

NameCREATE FOREIGN TABLE -- define a new foreign table Synopsis CREATE FOREIGN TABLE [ IF NOT EXISTS ] table_name ( [ { column_name data_type [ OPTIONS ( option 'value' [, ... ] ) ] [ COLLATE collation ] [ column_constraint [ ... ] ] | table_constraint } [, ... ] ] ) [ INHERITS ( parent_table [, ... ] ) ] SERVER server_name [ OPTIONS ( option 'value' [, ... ] ) ] where column_constraint is: [ CONSTRAINT constraint_name ] { NOT NULL | NULL | CHECK ( expression ) [ NO INHE

NameALTER FOREIGN DATA WRAPPER -- change the definition of a foreign-data wrapper Synopsis ALTER FOREIGN DATA WRAPPER name [ HANDLER handler_function | NO HANDLER ] [ VALIDATOR validator_function | NO VALIDATOR ] [ OPTIONS ( [ ADD | SET | DROP ] option ['value'] [, ... ]) ] ALTER FOREIGN DATA WRAPPER name OWNER TO { new_owner | CURRENT_USER | SESSION_USER } ALTER FOREIGN DATA WRAPPER name RENAME TO new_name Description ALTER FOREIGN DATA WRAPPER changes the definition of a

CREATE DATABASE actually works by copying an existing database. By default, it copies the standard system database named template1. Thus that database is the "template" from which new databases are made. If you add objects to template1, these objects will be copied into subsequently created user databases. This behavior allows site-local modifications to the standard set of objects in databases. For example, if you install the procedural language PL/Perl in template1, it will automatically be a

The examples in the previous section illustrated full text matching using simple constant strings. This section shows how to search table data, optionally using indexes. 12.2.1. Searching a Table It is possible to do a full text search without an index. A simple query to print the title of each row that contains the word friend in its body field is: SELECT title FROM pgweb WHERE to_tsvector('english', body) @@ to_tsquery('english', 'friend'); This will also find related words such as friends

PostgreSQL implements table inheritance, which can be a useful tool for database designers. (SQL:1999 and later define a type inheritance feature, which differs in many respects from the features described here.) Let's start with an example: suppose we are trying to build a data model for cities. Each state has many cities, but only one capital. We want to be able to quickly retrieve the capital city for any particular state. This can be done by creating two tables, one for state capitals and o

PostgreSQL's statistics collector is a subsystem that supports collection and reporting of information about server activity. Presently, the collector can count accesses to tables and indexes in both disk-block and individual-row terms. It also tracks the total number of rows in each table, and information about vacuum and analyze actions for each table. It can also count calls to user-defined functions and the total time spent in each one. PostgreSQL also supports reporting dynamic information

NameCREATE TYPE -- define a new data type Synopsis CREATE TYPE name AS ( [ attribute_name data_type [ COLLATE collation ] [, ... ] ] ) CREATE TYPE name AS ENUM ( [ 'label' [, ... ] ] ) CREATE TYPE name AS RANGE ( SUBTYPE = subtype [ , SUBTYPE_OPCLASS = subtype_operator_class ] [ , COLLATION = collation ] [ , CANONICAL = canonical_function ] [ , SUBTYPE_DIFF = subtype_diff_function ] ) CREATE TYPE name ( INPUT = input_function, OUTPUT = output_functio

19.9.1. Query and Index Statistics Collector These parameters control server-wide statistics collection features. When statistics collection is enabled, the data that is produced can be accessed via the pg_stat and pg_statio family of system views. Refer to Chapter 28 for more information. track_activities (boolean) Enables the collection of information on the currently executing command of each session, along with the time when that command began execution. This parameter is on by default.

The genetic algorithm (GA) is a heuristic optimization method which operates through randomized search. The set of possible solutions for the optimization problem is considered as a population of individuals. The degree of adaptation of an individual to its environment is specified by its fitness. The coordinates of an individual in the search space are represented by chromosomes, in essence a set of character strings. A gene is a subsection of a chromosome which encodes the value of a single p