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The pg_buffercache_numa ViewF.25.2. The pg_buffercache_numa View
The definitions of the columns exposed by the view are shown in Table F.15.
Table F.15. pg_buffercache_numa Columns Column Type Description bufferid inte…The pg_buffercache_numa View
The pg_buffercache_summary() FunctionF.25.3. The pg_buffercache_summary() Function
The definitions of the columns exposed by the function are shown in Table F.16.
Table F.16. pg_buffercache_summary() Output Columns Column Type …The pg_buffercache_summary() Function
The pg_buffercache_usage_counts() FunctionF.25.4. The pg_buffercache_usage_counts() Function
The definitions of the columns exposed by the function are shown in Table F.17.
Table F.17. pg_buffercache_usage_counts() Output Columns Co…The pg_buffercache_usage_counts() Function
The pg_hba.conf File20.1. The pg_hba.conf File
Client authentication is controlled by a configuration file, which traditionally is named pg_hba.conf and is stored in the database cluster's data directory. (HBA …The pg_hba.conf File
The pg_stat_statements ViewF.32.1. The pg_stat_statements View
The statistics gathered by the module are made available via a view named pg_stat_statements. This view contains one row for each distinct combination of …The pg_stat_statements View
The pg_stat_statements_info ViewF.32.2. The pg_stat_statements_info View
The statistics of the pg_stat_statements module itself are tracked and made available via a view named pg_stat_statements_info. This view contains on…The pg_stat_statements_info View
The PostgreSQL Rule System51.4. The PostgreSQL Rule System
PostgreSQL supports a powerful rule system for the specification of views and ambiguous view updates. Originally the PostgreSQL rule system consisted of two …The PostgreSQL Rule System
The PostgreSQL Type System36.2. The PostgreSQL Type System
PostgreSQL data types can be divided into base types, container types, domains, and pseudo-types.The PostgreSQL Type System
The PostgreSQL User Account18.1. The PostgreSQL User Account
As with any server daemon that is accessible to the outside world, it is advisable to run PostgreSQL under a separate user account. This user account should…The PostgreSQL User Account
The Power of Views in PostgreSQL39.2.3. The Power of Views in PostgreSQL
The above demonstrates how the rule system incorporates view definitions into the original query tree. In the second example, a simple SELECT from on…The Power of Views in PostgreSQL
The Public Schema5.10.2. The Public Schema
In the previous sections we created tables without specifying any schema names. By default such tables (and other objects) are automatically put into a schema named…The Public Schema
The Query Tree39.1. The Query Tree
To understand how the rule system works it is necessary to know when it is invoked and what its input and results are.
The rule system is located between the parser and …The Query Tree
The Rule SystemChapter 39. The Rule System
This chapter discusses the rule system in PostgreSQL. Production rule systems are conceptually simple, but there are many subtle points involved in actually using…The Rule System
The Schema35.1. The Schema
The information schema itself is a schema named information_schema. This schema automatically exists in all databases. The owner of this schema is the initial database user …The Schema
The Schema Search Path5.10.3. The Schema Search Path
Qualified names are tedious to write, and it's often best not to wire a particular schema name into applications anyway. Therefore tables are often referred to…The Schema Search Path
The Source Code RepositoryAppendix I. The Source Code Repository
The PostgreSQL source code is stored and managed using the Git version control system. A public mirror of the master repository is available; it is upd…The Source Code Repository
The SQL LanguagePart II. The SQL Language
This part describes the use of the SQL language in PostgreSQL. We start with describing the general syntax of SQL, then how to create tables, how to populate the da…The SQL Language
The SQL LanguageChapter 2. The SQL LanguageThe SQL Language
The SQL/JSON Path Language9.16.2. The SQL/JSON Path Language
SQL/JSON path expressions specify item(s) to be retrieved from a JSON value, similarly to XPath expressions used for access to XML content. In PostgreSQL, …The SQL/JSON Path Language
The System Catalog Schema5.10.5. The System Catalog Schema
In addition to public and user-created schemas, each database contains a pg_catalog schema, which contains the system tables and all the built-in data types…The System Catalog Schema
The timestamp Type34.6.4. The timestamp Type
The timestamp type in C enables your programs to deal with data of the SQL type timestamp. See Section 8.5 for the equivalent type in the PostgreSQL server.
The fo…The timestamp Type
The WHERE Clause7.2.2. The WHERE Clause
The syntax of the WHERE clause is
WHERE search_condition
where search_condition is any value expression (see Section 4.2) that returns a value of type boolean.
After …The WHERE Clause
The “random” Test31.2.7. The “random” Test
The random test script is intended to produce random results. In very rare cases, this causes that regression test to fail. Typing:
diff results/random.out expected…The “random” Test
Thesaurus Configuration12.6.4.1. Thesaurus Configuration
To define a new thesaurus dictionary, use the thesaurus template. For example:
CREATE TEXT SEARCH DICTIONARY thesaurus_simple ( TEMPLATE = thesaurus, DictFi…Thesaurus Configuration
Thesaurus Dictionary12.6.4. Thesaurus Dictionary
A thesaurus dictionary (sometimes abbreviated as TZ) is a collection of words that includes information about the relationships of words and phrases, i.e., broad…Thesaurus Dictionary
Thesaurus Example12.6.4.2. Thesaurus Example
Consider a simple astronomical thesaurus thesaurus_astro, which contains some astronomical word combinations:
supernovae stars : sn crab nebulae : crab
Below we c…Thesaurus Example
Time Stamps8.5.1.3. Time Stamps
Valid input for the time stamp types consists of the concatenation of a date and a time, followed by an optional time zone, followed by an optional AD or BC. (Alternativ…Time Stamps
Time Zones8.5.3. Time Zones
Time zones, and time-zone conventions, are influenced by political decisions, not just earth geometry. Time zones around the world became somewhat standardized during the 1…Time Zones
Timelines25.3.6. Timelines
The ability to restore the database to a previous point in time creates some complexities that are akin to science-fiction stories about time travel and parallel universes.…Timelines
Times8.5.1.2. Times
The time-of-day types are time [ (p) ] without time zone and time [ (p) ] with time zone. time alone is equivalent to time without time zone.
Valid input for these types consi…Times
timestamp, date34.4.4.2.1. timestamp, date
Here is a pattern for handling timestamp variables in the ECPG host application.
First, the program has to include the header file for the timestamp type:
include…timestamp, date
Tips and Examples25.3.7. Tips and Examples
Some tips for configuring continuous archiving are given here.Tips and Examples
Tips for Developing in PL/pgSQL41.12. Tips for Developing in PL/pgSQL
One good way to develop in PL/pgSQL is to use the text editor of your choice to create your functions, and in another window, use psql to load and test…Tips for Developing in PL/pgSQL
TOAST66.2. TOAST
This section provides an overview of TOAST (The Oversized-Attribute Storage Technique).
PostgreSQL uses a fixed page size (commonly 8 kB), and does not allow tuples to span multi…TOAST
TOAST Considerations36.13.1. TOAST Considerations
If the values of your data type vary in size (in internal form), it's usually desirable to make the data type TOAST-able (see Section 66.2). You should do this …TOAST Considerations
Tool SetsJ.2. Tool Sets
The following tools are used to process the documentation. Some might be optional, as noted.
DocBook DTD # This is the definition of DocBook itself. We currently use version 4…Tool Sets
Transaction Begin Callback47.6.4.3. Transaction Begin Callback
The required begin_cb callback is called whenever a start of a committed transaction has been decoded. Aborted transactions and their contents never get …Transaction Begin Callback
Transaction Begin Prepare Callback47.6.4.10. Transaction Begin Prepare Callback
The required begin_prepare_cb callback is called whenever the start of a prepared transaction has been decoded. The gid field, which is part of …Transaction Begin Prepare Callback
Transaction Commit Prepared Callback47.6.4.12. Transaction Commit Prepared Callback
The required commit_prepared_cb callback is called whenever a transaction COMMIT PREPARED has been decoded. The gid field, which is part of th…Transaction Commit Prepared Callback
Transaction End Callback47.6.4.4. Transaction End Callback
The required commit_cb callback is called whenever a transaction commit has been decoded. The change_cb callbacks for all modified rows will have been call…Transaction End Callback
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