Obtenha o fonte do PostGIS através da seção de downloads do website http://postgis.net/stuff/postgis-3.4.0dev.tar.gz

wget http://postgis.net/stuff/postgis-3.4.0dev.tar.gz
tar -xvzf postgis-3.4.0dev.tar.gz
cd postgis-3.4.0dev

Isto irá criar um diretório chamado postgis-3.4.0dev no diretório de trabalho atual.

Outra alternativa ,é o checkout da fonte do svn repository http://svn.osgeo.org/postgis/trunk/ .

git clone https://git.osgeo.org/gitea/postgis/postgis.git postgis
cd postgis
sh autogen.sh
    

Mude para o recém criado postgis-3.4.0dev diretório para continuar a instalação.

./configure

PostGIS tem os seguintes requisitos para a construção e uso:

Necessário

Opcional

Como a maior parte das instalações Linux, o primeiro passo é gerar o Makefile que será utilizado para construção do código fonte. Isto é feito utilizando o script shell

./configure

Sem parâmetros adicionais, este comando tentará automaticamente localizar os componentes necessários e bibliotecas para construção do fonte do PostGIS em seu sistema. Embora esta é a forma comum de uso do ./configure, o script aceita diversos parâmetros para aqueles que tem as bibliotecas e programas necessários em localizações do sistema operacional que não são padrão.

A lista a seguir mostra apenas os parâmetros comumente utilizados. Para uma lista completa, utilize os parâmetros --help ou --help=short.

	Se conseguiu o PostGIS do SVN depósito , o primeiro passo é fazer funcionar o script ./autogen.sh Este script gera a configurar script que na volta é usada para personalizar a instalação do PostGIS. Se em vez de conseguir o PostGIS como tarball, rodando ./autogen.sh não é necessariamente como configurar já foi gerado.

Uma vez que o Makefile tenha sido gerado, compilar o PostGIS é simples como rodar o comando

make

A última linha da saída deve ser "PostGIS was built successfully. Ready to install.."

As of PostGIS v1.4.0, all the functions have comments generated from the documentation. If you wish to install these comments into your spatial databases later, run the command which requires docbook. The postgis_comments.sql and other package comments files raster_comments.sql, topology_comments.sql are also packaged in the tar.gz distribution in the doc folder so no need to make comments if installing from the tar ball. Comments are also included as part of the CREATE EXTENSION install.

fazer comentários

Apresentado ao PostGIS 2.0. Isto gera html cheat sheets adequadas para referências rápidas ou para handouts dos estudantes. Exige xsltproc para construir e vai gerar 4 arquivos no folder do documento topology_cheatsheet.html, tiger_geocoder_cheatsheet.html, raster_cheatsheet.html, postgis_cheatsheet.html

Você pode baixar alguns pre-construídos disponíveis em html e pdf de PostGIS / PostgreSQL Study Guides

faça anotações

As extensões do PostGIS são contruídas e instaladas automaticamente se você estiver usando PostgreSQL 9.1 ou superior.

Se você está compilando do repositório, você precisa de compilar a função de descrições primeiro. Estas são compiladas se você possui o docbook instalado. Você pode também construir manualmente com o comando:

fazer comentários

Construir a documentação não é necessário se você está construindo de uma versão de lançamento no formato tar ball, já que estas são empacotadas pré-construídas com o tar ball.

Se você está construindo o PostGIS contra o PostgreSQL 9.1, as extensão devem ser automaticamente construídas como parte do processo de make. Você pode, contudo, se necessário, construir das pastas de extensões ou copiar os arquivos se você precisar dos mesmos em um servidor diferente.

cd extensions
cd postgis
make clean
make
export PGUSER=postgres #overwrite psql variables
make check #to test before install
make install
# to test extensions
make check RUNTESTFLAGS=--extension

	make check uses psql to run tests and as such can use psql environment variables. Common ones useful to override are PGUSER,PGPORT, and PGHOST. Refer to psql environment variables

Os arquivos de extensões sempre serão os mesmos para a mesma versão do PostGIS, independente do Sistemas Operacional, então é fácil copiar os arquivos de extensão de um sistema operacional para outro, desde que você tenha os binários do PostGIS instalados em seus servidores.

Se você deseja instalar as extensões manualmente em um servidor diferente, do seu servidor de desenvolvimento, você precisará copiar os seguintes arquivos da pasta de extensões para a pastaPostgreSQL /share/extension da sua instalação do PostgreSQL, bem como os binários necessários para o PostGIS, se você não os tem ainda no servidor de destino.

Quando você finalizar este processo, você deverá ver postgis, postgis_topology como extensões disponíveis no PgAdmin -> Extensões.

Se você está utilizando psql, pode verificar quais estensões estão instaladas executando essa query:

SELECT name, default_version,installed_version
FROM pg_available_extensions WHERE name LIKE 'postgis%' or name LIKE 'address%';

             name             | default_version | installed_version
------------------------------+-----------------+-------------------
 address_standardizer         | 3.4.0dev         | 3.4.0dev
 address_standardizer_data_us | 3.4.0dev         | 3.4.0dev
 postgis                      | 3.4.0dev         | 3.4.0dev
 postgis_sfcgal               | 3.4.0dev         |
 postgis_tiger_geocoder       | 3.4.0dev         | 3.4.0dev
 postgis_topology             | 3.4.0dev         |
(6 rows)

Se você tem a extensão instalada no banco de dados de seu interesse, você a verá mencionada na coluna installed_version. Se você não receber nenhum registro de volta, significa que você não tem extensões do PostGIS instaladas no servidor. PgAdmin III 1.14+ também irá lhe dar esta informação na seção extensions do navegador de banco de dados e até permitirá o upgrade ou a desinstação utilizando o clique com o botão direito.

Se você tem extensões disponíveis, pode instalar a extensão postgis no seu database escolhido usando a interface da extensão pgAdmin ou rodando esses comandos sql:

CREATE EXTENSION postgis;
CREATE EXTENSION postgis_sfcgal;
CREATE EXTENSION fuzzystrmatch; --needed for postgis_tiger_geocoder
--optional used by postgis_tiger_geocoder, or can be used standalone
CREATE EXTENSION address_standardizer;
CREATE EXTENSION address_standardizer_data_us;
CREATE EXTENSION postgis_tiger_geocoder;
CREATE EXTENSION postgis_topology;

No psql você pode ver quais versões foram instaladas e qual esquema eles estão instalando.

\connect mygisdb
\x
\dx postgis*

List of installed extensions
-[ RECORD 1 ]-------------------------------------------------
-
Name        | postgis
Version     | 3.4.0dev
Schema      | public
Description | PostGIS geometry, geography, and raster spat..
-[ RECORD 2 ]-------------------------------------------------
-
Name        | postgis_tiger_geocoder
Version     | 3.4.0dev
Schema      | tiger
Description | PostGIS tiger geocoder and reverse geocoder
-[ RECORD 3 ]-------------------------------------------------
-
Name        | postgis_topology
Version     | 3.4.0dev
Schema      | topology
Description | PostGIS topology spatial types and functions

Extensões table spatial_ref_sys, layer, topology não podem ter o backup feito explicitamente. Só podem ser feito o backup quando a respectiva postgis ou postgis_topology extensão estiver com o backup feito, o que só acontece quando você faz backup de todo o database. Assim como PostGIS 2.0.1, somente os registros srid não compactados com o PostGIS tem o backup quando há o backup do database, então não faça mudanças nos srids que nós compactamos e espere que suas mudanças estejam lá. Coloque em um em um bilhete se encontrar algum problema. As estruturas de extensões table nunca têm o backup feito desde que elas são criadas com CREATE EXTENSION e supostas a serem as mesmas para uma dada versão de uma extensão. Estes comportamentos são construídos na extensão atual do PostSQL, portanto não há nada que possamos fazer a respeito.

Se você instalou 3.4.0dev sem usar nosso sistema de extensão maravilhoso, você pode mudar para uma extensão baseada em primeiro atualizando para a última micro versão rodando as scripts atualizadas: postgis_upgrade_22_minor.sql,raster_upgrade_22_minor.sql,topology_upgrade_22_minor.sql.

CREATE EXTENSION postgis FROM unpackaged;
CREATE EXTENSION postgis_topology FROM unpackaged;
CREATE EXTENSION postgis_tiger_geocoder FROM unpackaged;

Se desejar testar o PostGIS, rode

make check

O comando acima irá rodar através de várias verificações e testes de regressão usando a biblioteca gerada contra o database do PostreSQL atual.

	Se você configurou o PostGIS usando o não padronizado PostgreSQL, GEOS, ou Proj4 localizações, talvez você precise adicionar a biblioteca de localizações deles à LD_LIBRARY_PATH variável de ambiente.

Atualmente, o faz verificação confia nas variáveis de ambiente PATH e PGPORT quando vai fazer as verificações - ele não usa a versão PostgreSQL que talvez tenha sido especificada utilizando o parâmetro de configuração --with-pgconfig. Portanto, certifique-se que para modificar seu PATH para ser compatível com a instalação do PostgreSQL detectada durante a configuração ou esteja preparado para iminentes aborrecimentos.

If successful, make check will produce the output of almost 500 tests. The results will look similar to the following (numerous lines omitted below):

CUnit - A unit testing framework for C - Version 2.1-3
     http://cunit.sourceforge.net/

        .
        .
        .

Run Summary:    Type  Total    Ran Passed Failed Inactive
              suites     44     44    n/a      0        0
               tests    300    300    300      0        0
             asserts   4215   4215   4215      0      n/a
Elapsed time =    0.229 seconds

        .
        .
        .

Running tests

        .
        .
        .

Run tests: 134
Failed: 0


-- if you build with SFCGAL

        .
        .
        .

Running tests

        .
        .
        .

Run tests: 13
Failed: 0

-- if you built with raster support

        .
        .
        .

Run Summary:    Type  Total    Ran Passed Failed Inactive
              suites     12     12    n/a      0        0
               tests     65     65     65      0        0
             asserts  45896  45896  45896      0      n/a


        .
        .
        .

Running tests

        .
        .
        .

Run tests: 101
Failed: 0

-- topology regress

.
.
.

Running tests

        .
        .
        .

Run tests: 51
Failed: 0

-- if you built --with-gui, you should see this too

     CUnit - A unit testing framework for C - Version 2.1-2
     http://cunit.sourceforge.net/

        .
        .
        .

Run Summary:    Type  Total    Ran Passed Failed Inactive
              suites      2      2    n/a      0        0
               tests      4      4      4      0        0
             asserts      4      4      4      0      n/a

As extensões postgis_tiger_geocoder and address_standardizer , atualmente só suportam o modelo PostgreSQL installcheck. Para testá-los use abaixo. Nota: fazer a instalação não é necessária se você já instalou na raiz do folder code do PostGIS.

Para address_standardizer:

cd extensions/address_standardizer
make install
make installcheck
          

Saída deve parecer com:

============== dropping database "contrib_regression" ==============
DROP DATABASE
============== creating database "contrib_regression" ==============
CREATE DATABASE
ALTER DATABASE
============== running regression test queries        ==============
test test-init-extensions     ... ok
test test-parseaddress        ... ok
test test-standardize_address_1 ... ok
test test-standardize_address_2 ... ok

=====================
 All 4 tests passed.
=====================

Para o geocoder tiger, certifique-se que você tem extensões portgis e fuzzystratch disponíveis no seu PostgreSQL. Os testes address_standardizer também irão desprezar se seus postgis construídos com address_standardizer suportar:

cd extensions/postgis_tiger_geocoder
make install
make installcheck
          

saída deve parecer com:

============== dropping database "contrib_regression" ==============
DROP DATABASE
============== creating database "contrib_regression" ==============
CREATE DATABASE
ALTER DATABASE
============== installing fuzzystrmatch               ==============
CREATE EXTENSION
============== installing postgis                     ==============
CREATE EXTENSION
============== installing postgis_tiger_geocoder      ==============
CREATE EXTENSION
============== installing address_standardizer        ==============
CREATE EXTENSION
============== running regression test queries        ==============
test test-normalize_address   ... ok
test test-pagc_normalize_address ... ok

=====================
All 2 tests passed.
=====================

Para instalar o PostGIS, digite

make install

Isso irá copiar a instalação dos arquivos do PostGIS para suas subdireções específicas pelo --prefix parâmetro de configuração. Particularmente:

Se anteriormente você rodou o comando make comments para gerar o arquivo postgis_comments.sql, raster_comments.sql, instale o arquivo sql para executar

make comments-install

	postgis_comments.sql, raster_comments.sql, topology_comments.sql foi separado da construção típica e instalações alvo desde que como isso, veio a dependência extra do xsltproc.

Perl Regex:Assemble não é mais necessário para a compilação extensão address_standardizer desde que os arquivos que ele gera são parte da fonte três. Entretanto se precisar editar o usps-st-city-orig.txt ou usps-st-city-orig.txt usps-st-city-adds.tx, você precisa reconstruir parseaddress-stcities.h que exige Regex:Assemble.

cpan Regexp::Montar

ou se estiver no Ubuntu / Debian talvez você precise fazer

sudo perl -MCPAN -e "install Regexp::Assemble"

Uma das maiores queixas das pessoas é a função normalizador de endereços Normalize_Address que normaliza um endereço para preparação antes da geocoding. O normalizador está longe da perfeição e tentar corrigir suas imperfeições demanda um grande número de recursos. Como tal nós integramos com outro projeto que tem um mecanismo de padronizador de endereços muito melhor. Para usar esse novo address_standardizer, você compila a extensão como está descrito em Section 2.3, “Instalando e usando o padronizador de endereço” e instala como uma extensão no seu banco de dados.

Uma vez que você instala essa extensão no mesmo banco de dados que instalou postgis_tiger_geocoder, então o Pagc_Normalize_Address pode ser usado ao invés do Normalize_Address. Essa extensão é avessa ao tiger, logo pode ser usada com outras fontes de dados como: endereços internacionais. A extensão tiger geocoder vem compactada com suas próprias versões personalizadas de mesa de regras ( tiger.pagc_rules) , gaz table (tiger.pagc_gaz), e lex table (tiger.pagc_lex). Essas você pode adicionar e atualizar para melhorar sua experiência com o padronizador de acordo com suas necessidades.

O carregador processa dados de downloads do site de censo para os respectivos arquivos de nação, solicitações de estados, extrai os arquivos e carrega cada estado para seu grupo separado de state tables. Cada state table herda das tables definidas no esquema tiger sendo suficiente apenas para pesquisar aquelas tables para acessar todos os dados e derrubar um conjunto de state tables a qualquer momento usando o Drop_State_Tables_Generate_Script se quiser recarregar um estado ou não precisa de um estado mais.

Para ser capaz de carregar dados, você vai precisar das seguintes ferramentas:

If you are upgrading from tiger_2010, you'll need to first generate and run Drop_Nation_Tables_Generate_Script. Before you load any state data, you need to load the nation wide data which you do with Loader_Generate_Nation_Script. Which will generate a loader script for you. Loader_Generate_Nation_Script is a one-time step that should be done for upgrading (from a prior year tiger census data) and for new installs.

Para carregar dados do estado referir-se a Loader_Generate_Script para gerar uma script de dados de carregamento para sua plataforma para os estados que deseja. Note que você pode instalar estes gradativamente. Você não precisa carregar todos os estados de uma só vez. Pode carregá-los à medida que for precisando deles.

Depois que os estados desejados forem carregados, certifique-se de executar o:

SELECT install_missing_indexes();

como está descrito em Install_Missing_Indexes.

Para testar que está tudo funcionando normalmente, tente executar um geocode em um endereço no seu estado, usando Geocode

First upgrade your postgis_tiger_geocoder extension as follows:

ALTER EXTENSION postgis_tiger_geocoder UPDATE;

Em seguida, derrube todas as nation tables e carregue as novas. Gere uma drop script com essa declaração SQL, como está detalhado em Drop_Nation_Tables_Generate_Script

SELECT drop_nation_tables_generate_script();

Execute as declarações geradas drop SQL.

Gere uma script que carrega uma nação com SELECIONAR como está detalhado em Loader_Generate_Nation_Script

Para windows

SELECT loader_generate_nation_script('windows'); 

Para unix/linux

SELECT loader_generate_nation_script('sh');

Para instruções de como executar a script gerada use: 4. Isso só precisa ser feito uma vez.

	You can have a mix of different year state tables and can upgrade each state separately. Before you upgrade a state you first need to drop the prior year state tables for that state using Drop_State_Tables_Generate_Script.

These settings are configured in postgresql.conf:

constraint_exclusion

shared_buffers

max_worker_processes This setting is only available for PostgreSQL 9.4+. For PostgreSQL 9.6+ this setting has additional importance in that it controls the max number of processes you can have for parallel queries.

work_mem - sets the size of memory used for sort operations and complex queries

maintenance_work_mem - the memory size used for VACUUM, CREATE INDEX, etc.

max_parallel_workers_per_gather

This setting is only available for PostgreSQL 9.6+ and will only affect PostGIS 2.3+, since only PostGIS 2.3+ supports parallel queries. If set to higher than 0, then some queries such as those involving relation functions like ST_Intersects can use multiple processes and can run more than twice as fast when doing so. If you have a lot of processors to spare, you should change the value of this to as many processors as you have. Also make sure to bump up max_worker_processes to at least as high as this number.

If you are using PostgreSQL 9.1+ and have compiled and installed the extensions/postgis modules, you can turn a database into a spatial one using the EXTENSION mechanism.

Core postgis extension includes geometry, geography, spatial_ref_sys and all the functions and comments. Raster and topology are packaged as a separate extension.

Run the following SQL snippet in the database you want to enable spatially:

CREATE EXTENSION IF NOT EXISTS plpgsql;
      CREATE EXTENSION postgis;
      CREATE EXTENSION postgis_raster; -- OPTIONAL
      CREATE EXTENSION postgis_topology; -- OPTIONAL

	This is generally only needed if you cannot or don't want to get PostGIS installed in the PostgreSQL extension directory (for example during testing, development or in a restricted environment).

Adding PostGIS objects and function definitions into your database is done by loading the various sql files located in [prefix]/share/contrib as specified during the build phase.

The core PostGIS objects (geometry and geography types, and their support functions) are in the postgis.sql script. Raster objects are in the rtpostgis.sql script. Topology objects are in the topology.sql script.

For a complete set of EPSG coordinate system definition identifiers, you can also load the spatial_ref_sys.sql definitions file and populate the spatial_ref_sys table. This will permit you to perform ST_Transform() operations on geometries.

If you wish to add comments to the PostGIS functions, you can find them in the postgis_comments.sql script. Comments can be viewed by simply typing \dd [function_name] from a psql terminal window.

Run the following Shell commands in your terminal:

DB=[yourdatabase]
    SCRIPTSDIR=`pg_config --sharedir`/contrib/postgis-3.3/

    # Core objects
    psql -d ${DB} -f ${SCRIPTSDIR}/postgis.sql
    psql -d ${DB} -f ${SCRIPTSDIR}/spatial_ref_sys.sql
    psql -d ${DB} -f ${SCRIPTSDIR}/postgis_comments.sql # OPTIONAL

    # Raster support (OPTIONAL)
    psql -d ${DB} -f ${SCRIPTSDIR}/rtpostgis.sql
    psql -d ${DB} -f ${SCRIPTSDIR}/raster_comments.sql # OPTIONAL

    # Topology support (OPTIONAL)
    psql -d ${DB} -f ${SCRIPTSDIR}/topology.sql
    psql -d ${DB} -f ${SCRIPTSDIR}/topology_comments.sql # OPTIONAL

Some packaged distributions of PostGIS (in particular the Win32 installers for PostGIS >= 1.1.5) load the PostGIS functions into a template database called template_postgis. If the template_postgis database exists in your PostgreSQL installation then it is possible for users and/or applications to create spatially-enabled databases using a single command. Note that in both cases, the database user must have been granted the privilege to create new databases.

From the shell:

# createdb -T template_postgis my_spatial_db

From SQL:

postgres=# CREATE DATABASE my_spatial_db TEMPLATE=template_postgis

If you installed your database using extensions, you'll need to upgrade using the extension model as well. If you installed using the old sql script way, you are advised to switch your install to extensions because the script way is no longer supported.

3.4.1.1. Soft Upgrade 9.1+ using extensions

If you originally installed PostGIS with extensions, then you need to upgrade using extensions as well. Doing a minor upgrade with extensions, is fairly painless.

If you are running PostGIS 3 or above, then you should use the PostGIS_Extensions_Upgrade function to upgrade to the latest version you have installed.

SELECT postgis_extensions_upgrade();

If you are running PostGIS 2.5 or lower, then do the following:

ALTER EXTENSION postgis UPDATE;
SELECT postgis_extensions_upgrade();
-- This second call is needed to rebundle postgis_raster extension
SELECT postgis_extensions_upgrade();

If you have multiple versions of PostGIS installed, and you don't want to upgrade to the latest, you can explicitly specify the version as follows:

ALTER EXTENSION postgis UPDATE TO "3.4.0dev";
ALTER EXTENSION postgis_topology UPDATE TO "3.4.0dev";

If you get an error notice something like:

No migration path defined for … to 3.4.0dev

Then you'll need to backup your database, create a fresh one as described in Section 3.3.1, “Spatially enable database using EXTENSION” and then restore your backup on top of this new database.

If you get a notice message like:

Version "3.4.0dev" of extension "postgis" is already installed

Then everything is already up to date and you can safely ignore it. UNLESS you're attempting to upgrade from an development version to the next (which doesn't get a new version number); in that case you can append "next" to the version string, and next time you'll need to drop the "next" suffix again:

ALTER EXTENSION postgis UPDATE TO "3.4.0devnext";
ALTER EXTENSION postgis_topology UPDATE TO "3.4.0devnext";

	If you installed PostGIS originally without a version specified, you can often skip the reinstallation of postgis extension before restoring since the backup just has CREATE EXTENSION postgis and thus picks up the newest latest version during restore.

	If you are upgrading PostGIS extension from a version prior to 3.0.0, you will have a new extension postgis_raster which you can safely drop, if you don't need raster support. You can drop as follows: DROP EXTENSION postgis_raster;

3.4.1.2. Soft Upgrade Pre 9.1+ or without extensions

This section applies only to those who installed PostGIS not using extensions. If you have extensions and try to upgrade with this approach you'll get messages like:

can't drop … because postgis extension depends on it

NOTE: if you are moving from PostGIS 1.* to PostGIS 2.* or from PostGIS 2.* prior to r7409, you cannot use this procedure but would rather need to do a HARD UPGRADE.

After compiling and installing (make install) you should find a set of *_upgrade.sql files in the installation folders. You can list them all with:

ls `pg_config --sharedir`/contrib/postgis-3.4.0dev/*_upgrade.sql

Load them all in turn, starting from postgis_upgrade.sql.

psql -f postgis_upgrade.sql -d your_spatial_database

The same procedure applies to raster, topology and sfcgal extensions, with upgrade files named rtpostgis_upgrade.sql, topology_upgrade.sql and sfcgal_upgrade.sql respectively. If you need them:

psql -f rtpostgis_upgrade.sql -d your_spatial_database

psql -f topology_upgrade.sql -d your_spatial_database

psql -f sfcgal_upgrade.sql -d your_spatial_database

You are advised to switch to an extension based install by running

psql -c "SELECT postgis_extensions_upgrade();"

	If you can't find the postgis_upgrade.sql specific for upgrading your version you are using a version too early for a soft upgrade and need to do a HARD UPGRADE.

The PostGIS_Full_Version function should inform you about the need to run this kind of upgrade using a "procs need upgrade" message.

By HARD UPGRADE we mean full dump/reload of postgis-enabled databases. You need a HARD UPGRADE when PostGIS objects' internal storage changes or when SOFT UPGRADE is not possible. The Release Notes appendix reports for each version whether you need a dump/reload (HARD UPGRADE) to upgrade.

The dump/reload process is assisted by the postgis_restore.pl script which takes care of skipping from the dump all definitions which belong to PostGIS (including old ones), allowing you to restore your schemas and data into a database with PostGIS installed without getting duplicate symbol errors or bringing forward deprecated objects.

Supplementary instructions for windows users are available at Windows Hard upgrade.

The Procedure is as follows:

Errors may arise in the following cases:

The Open Geospatial Consortium (OGC) developed the Simple Features Access standard (SFA) to provide a model for geospatial data. It defines the fundamental spatial type of Geometry, along with operations which manipulate and transform geometry values to perform spatial analysis tasks. PostGIS implements the OGC Geometry model as the PostgreSQL data types geometry and geography.

Geometry is an abstract type. Geometry values belong to one of its concrete subtypes which represent various kinds and dimensions of geometric shapes. These include the atomic types Point, LineString, LinearRing and Polygon, and the collection types MultiPoint, MultiLineString, MultiPolygon and GeometryCollection. The Simple Features Access - Part 1: Common architecture v1.2.1 adds subtypes for the structures PolyhedralSurface, Triangle and TIN.

Geometry models shapes in the 2-dimensional Cartesian plane. The PolyhedralSurface, Triangle, and TIN types can also represent shapes in 3-dimensional space. The size and location of shapes are specified by their coordinates. Each coordinate has a X and Y ordinate value determining its location in the plane. Shapes are constructed from points or line segments, with points specified by a single coordinate, and line segments by two coordinates.

Coordinates may contain optional Z and M ordinate values. The Z ordinate is often used to represent elevation. The M ordinate contains a measure value, which may represent time or distance. If Z or M values are present in a geometry value, they must be defined for each point in the geometry. If a geometry has Z or M ordinates the coordinate dimension is 3D; if it has both Z and M the coordinate dimension is 4D.

Geometry values are associated with a spatial reference system indicating the coordinate system in which it is embedded. The spatial reference system is identified by the geometry SRID number. The units of the X and Y axes are determined by the spatial reference system. In planar reference systems the X and Y coordinates typically represent easting and northing, while in geodetic systems they represent longitude and latitude. SRID 0 represents an infinite Cartesian plane with no units assigned to its axes. See Section 4.5, “The SPATIAL_REF_SYS Table and Spatial Reference Systems”.

The geometry dimension is a property of geometry types. Point types have dimension 0, linear types have dimension 1, and polygonal types have dimension 2. Collections have the dimension of the maximum element dimension.

A geometry value may be empty. Empty values contain no vertices (for atomic geometry types) or no elements (for collections).

An important property of geometry values is their spatial extent or bounding box, which the OGC model calls envelope. This is the 2 or 3-dimensional box which encloses the coordinates of a geometry. It is an efficient way to represent a geometry's extent in coordinate space and to check whether two geometries interact.

The geometry model allows evaluating topological spatial relationships as described in Section 5.1.1, “Dimensionally Extended 9-Intersection Model”. To support this the concepts of interior, boundary and exterior are defined for each geometry type. Geometries are topologically closed, so they always contain their boundary. The boundary is a geometry of dimension one less than that of the geometry itself.

The OGC geometry model defines validity rules for each geometry type. These rules ensure that geometry values represents realistic situations (e.g. it is possible to specify a polygon with a hole lying outside the shell, but this makes no sense geometrically and is thus invalid). PostGIS also allows storing and manipulating invalid geometry values. This allows detecting and fixing them if needed. See Section 4.4, “Geometry Validation”

POINT (1 2)
POINT Z (1 2 3)
POINT ZM (1 2 3 4)

LINESTRING(0 0,1 1,1 2)

CIRCULARSTRING(0 0, 4 0, 4 4, 0 4, 0 0)

POLYGON((0 0 0,4 0 0,4 4 0,0 4 0,0 0 0),(1 1 0,2 1 0,2 2 0,1 2 0,1 1 0))

MULTIPOINT((0 0),(1 2))

MULTILINESTRING((0 0,1 1,1 2),(2 3,3 2,5 4))

MULTIPOLYGON(((0 0,4 0,4 4,0 4,0 0),(1 1,2 1,2 2,1 2,1 1)), ((-1 -1,-1 -2,-2 -2,-2 -1,-1 -1)))

GEOMETRYCOLLECTION(POINT(2 3),LINESTRING(2 3,3 4))

POLYHEDRALSURFACE( ((0 0 0, 0 0 1, 0 1 1, 0 1 0, 0 0 0)), ((0 0 0, 0 1 0, 1 1 0, 1 0 0, 0 0 0)), ((0 0 0, 1 0 0, 1 0 1, 0 0 1, 0 0 0)), ((1 1 0, 1 1 1, 1 0 1, 1 0 0, 1 1 0)), ((0 1 0, 0 1 1, 1 1 1, 1 1 0, 0 1 0)), ((0 0 1, 1 0 1, 1 1 1, 0 1 1, 0 0 1)) )

TRIANGLE ((0 0, 0 9, 9 0, 0 0))

TIN( ((0 0 0, 0 0 1, 0 1 0, 0 0 0)), ((0 0 0, 0 1 0, 1 1 0, 0 0 0)) )

The ISO/IEC 13249-3 SQL Multimedia - Spatial standard (SQL/MM) extends the OGC SFA to define Geometry subtypes containing curves with circular arcs. The SQL/MM types support 3DM, 3DZ and 4D coordinates.

	Todos as comparações de pontos flutuantes dentro da implementação SQL-MM são representadas com uma tolerância específica, atualmente 1E-8.

CIRCULARSTRING(0 0, 4 0, 4 4, 0 4, 0 0)

COMPOUNDCURVE(CIRCULARSTRING(0 0, 1 1, 1 0),(1 0, 0 1))

CURVEPOLYGON(CIRCULARSTRING(0 0, 4 0, 4 4, 0 4, 0 0),(1 1, 3 3, 3 1, 1 1))

Exemplo de curva composta em um polígono curvo: CURVEPOLYGON(COMPOUNDCURVE(CIRCULARSTRING(0 0,2 0, 2 1, 2 3, 4 3),(4 3, 4 5, 1 4, 0 0)), CIRCULARSTRING(1.7 1, 1.4 0.4, 1.6 0.4, 1.6 0.5, 1.7 1) )

MULTICURVE( (0 0, 5 5), CIRCULARSTRING(4 0, 4 4, 8 4) )

MULTISURFACE(CURVEPOLYGON(CIRCULARSTRING(0 0, 4 0, 4 4, 0 4, 0 0),(1 1, 3 3, 3 1, 1 1)),((10 10, 14 12, 11 10, 10 10),(11 11, 11.5 11, 11 11.5, 11 11)))

A especificação OpenGIS define dois caminhos padrão de expressar objetos espaciais: o Well-Known Text (WKT) e o Well-Known Binary (WKB). Ambos incluem informação sobre o tipo do objeto e as coordenadas que os formam.

A representação bem conhecida de texto do sistema de referência espacial. Um exemplo de uma representação WKT SRS é:

Input and output of WKT is provided by the functions ST_AsText and ST_GeomFromText:

bytea WKB = ST_AsBinary(geometry);
text WKT = ST_AsText(geometry);
geometry = ST_GeomFromWKB(bytea WKB, SRID);
geometry = ST_GeometryFromText(text WKT, SRID);

Por exemplo, uma declaração inserida válida para criar e inserir um objeto espacial OGC seria:

INSERT INTO geotable ( the_geom, the_name )
  VALUES ( ST_GeomFromText('POINT(-126.4 45.32)', 312), 'A Place');

Well-Known Binary (WKB) provides a portable, full-precision representation of spatial data as binary data (arrays of bytes). Examples of the WKB representations of spatial objects are:

Input and output of WKB is provided by the functions ST_AsBinary and ST_GeomFromWKB:

bytea WKB = ST_AsBinary(geometry);
text WKT = ST_AsText(geometry);
geometry = ST_GeomFromWKB(bytea WKB, SRID);
geometry = ST_GeometryFromText(text WKT, SRID);

Por exemplo, uma declaração inserida válida para criar e inserir um objeto espacial OGC seria:

INSERT INTO geotable ( the_geom, the_name )
  VALUES ( ST_GeomFromText('POINT(-126.4 45.32)', 312), 'A Place');

OGC SFA specifications initially supported only 2D geometries, and the geometry SRID is not included in the input/output representations. The OGC SFA specification 1.2.1 (which aligns with the ISO 19125 standard) adds support for 3D (ZYZ) and measured (XYM and XYZM) coordinates, but still does not include the SRID value.

Because of these limitations PostGIS defined extended EWKB and EWKT formats. They provide 3D (XYZ and XYM) and 4D (XYZM) coordinate support and include SRID information. Including all geometry information allows PostGIS to use EWKB as the format of record (e.g. in DUMP files).

EWKB and EWKT are used for the "canonical forms" of PostGIS data objects. For input, the canonical form for binary data is EWKB, and for text data either EWKB or EWKT is accepted. This allows geometry values to be created by casting a text value in either HEXEWKB or EWKT to a geometry value using ::geometry. For output, the canonical form for binary is EWKB, and for text it is HEXEWKB (hex-encoded EWKB).

For example this statement creates a geometry by casting from an EWKT text value, and outputs it using the canonical form of HEXEWKB:

=# SELECT 'SRID=4;POINT(0 0)'::geometry;

geometry
----------------------------------------------------
01010000200400000000000000000000000000000000000000
(1 row)

PostGIS EWKT output has a few differences to OGC WKT:

EWKT avoids over-specifying dimensionality and the inconsistencies that can occur with the OGC/ISO format, such as:

	Os formatos estendidos do PostGIS estão atualmente superset de OGC (cada WKB/WKT válido é um EWKB/EWKT válido), mas isto pode airar no futuro, especificamente se OGC sai com um novo formato conflitando com nossas extensões. Assim, você NÃO DEVE confiar neste aspecto!

A seguir, exemplos das representações de textos (WKT) dos objetos espaciais das características:

Entrada/Saída destes formatos estão disponíveis usando as seguintes interfaces:

bytea EWKB = ST_AsEWKB(geometry);
text EWKT = ST_AsEWKT(geometry);
geometry = ST_GeomFromEWKB(bytea EWKB);
geometry = ST_GeomFromEWKT(text EWKT);

Por exemplo, uma declaração inserida válida para criar e inserir um objeto espacial seria:

INSERT INTO geotable ( the_geom, the_name )
  VALUES ( ST_GeomFromEWKT('SRID=312;POINTM(-126.4 45.32 15)'), 'A Place' )

You can create a table to store geography data using the CREATE TABLE SQL statement with a column of type geography. The following example creates a table with a geography column storing 2D LineStrings in the WGS84 geodetic coordinate system (SRID 4326):

CREATE TABLE global_points (
    id SERIAL PRIMARY KEY,
    name VARCHAR(64),
    location GEOGRAPHY(POINT,4326)
  );

The geography type supports two optional type modifiers:

Examples of creating tables with geography columns:

Geography fields are registered in the geography_columns system view. You can query the geography_columns view and see that the table is listed:

-- See the contents of the metadata view
SELECT * FROM geography_columns;

Criar um índice funciona da mesma forma que uma GEOMETRIA. O PostGIS irá notar que o tipo de coluna é GEOGRAFIA e criará um índice baseado em esfera apropriado em vez do de costume usado para GEOMETRIA.

-- Index the test table with a spherical index
  CREATE INDEX global_points_gix ON global_points USING GIST ( location );

You can insert data into geography tables in the same way as geometry. Geometry data will autocast to the geography type if it has SRID 4326. The EWKT and EWKB formats can also be used to specify geography values.

-- Add some data into the test table
INSERT INTO global_points (name, location) VALUES ('Town', 'SRID=4326;POINT(-110 30)');
INSERT INTO global_points (name, location) VALUES ('Forest', 'SRID=4326;POINT(-109 29)');
INSERT INTO global_points (name, location) VALUES ('London', 'SRID=4326;POINT(0 49)');

Any geodetic (long/lat) spatial reference system listed in spatial_ref_sys table may be specified as a geography SRID. Non-geodetic coordinate systems raise an error if used.

=# SELECT 'SRID=4;POINT(0 0)'::geometry;

geometry
----------------------------------------------------
01010000200400000000000000000000000000000000000000
(1 row)

=# SELECT 'SRID=4;POINT(0 0)'::geometry;

geometry
----------------------------------------------------
01010000200400000000000000000000000000000000000000
(1 row)

-- NAD83 UTM zone meters - gives an error since it is a meter-based planar projection
SELECT 'SRID=26910;POINT(-123 34)'::geography;

ERROR:  Only lon/lat coordinate systems are supported in geography.

As funções de consulta e medida usam unidades em metros. Então, os parâmetros de distância deveriam ser esperados em metros (ou metros quadrados para áreas).

-- A distance query using a 1000km tolerance
SELECT name FROM global_points WHERE ST_DWithin(location, 'SRID=4326;POINT(-110 29)'::geography, 1000000);

You can see the power of geography in action by calculating how close a plane flying a great circle route from Seattle to London (LINESTRING(-122.33 47.606, 0.0 51.5)) comes to Reykjavik (POINT(-21.96 64.15)) (map the route).

O tipo GEOGRAFIA calcula a verdadeira menor distância sobre a esfera entre Reykjavik e o grande caminho de voo circular entre Seattle e Londres.

-- Distance calculation using GEOGRAPHY
SELECT ST_Distance('LINESTRING(-122.33 47.606, 0.0 51.5)'::geography, 'POINT(-21.96 64.15)'::geography);
   st_distance
-----------------
 122235.23815667

Great Circle mapper A GEOMETRIA calcula a distância cartesiana insignificante entre Reykjavik e o caminho direto de Seattle para Londres marcado em um mapa. As unidades nominais do resultado podem ser chamadas de "graus", mas o resultado não corresponde a nenhuma diferença angular verdadeira entre os pontos, então, chamá-las de "graus" é incoerente.

-- Distance calculation using GEOMETRY
SELECT ST_Distance('LINESTRING(-122.33 47.606, 0.0 51.5)'::geometry, 'POINT(-21.96 64.15)'::geometry);
      st_distance
--------------------
 13.342271221453624

The geography data type allows you to store data in longitude/latitude coordinates, but at a cost: there are fewer functions defined on GEOGRAPHY than there are on GEOMETRY; those functions that are defined take more CPU time to execute.

O tipo que você escolheu deveria ser condicionado da área de trabalho esperada da aplicação que você está construindo. Seus dados irão abranger o globo ou uma grande área continental, ou é local para um estado, condado ou município?

Recorra a Section 15.11, “PostGIS Function Support Matrix” para uma comparação entre o que é suportado pela Geografia vs. Geometria. Para uma breve lista e descrição das funções da Geografia, recorra a Section 15.4, “PostGIS Geography Support Functions”

A simple geometry is one that has no anomalous geometric points, such as self intersection or self tangency.

Um POINT é herdado simple como um objeto geométrico 0-dimensional.

MULTIPOINTs são simple se nenhuma de duas coordenadas (POINTs) forem iguais (tenham o valor de coordenadas idêntico).

A LINESTRING is simple if it does not pass through the same point twice, except for the endpoints. If the endpoints of a simple LineString are identical it is called closed and referred to as a Linear Ring.

(a) and (c) are simple LINESTRINGs. (b) and (d) are not simple. (c) is a closed Linear Ring.

(a)	(b)
(c)	(d)

A MULTILINESTRING is simple only if all of its elements are simple and the only intersection between any two elements occurs at points that are on the boundaries of both elements.

(e) and (f) are simple MULTILINESTRINGs. (g) is not simple.

(e)

(f)

(g)

POLYGONs are formed from linear rings, so valid polygonal geometry is always simple.

To test if a geometry is simple use the ST_IsSimple function:

SELECT
   ST_IsSimple('LINESTRING(0 0, 100 100)') AS straight,
   ST_IsSimple('LINESTRING(0 0, 100 100, 100 0, 0 100)') AS crossing;

 straight | crossing
----------+----------
 t        | f

Generally, PostGIS functions do not require geometric arguments to be simple. Simplicity is primarily used as a basis for defining geometric validity. It is also a requirement for some kinds of spatial data models (for example, linear networks often disallow lines that cross). Multipoint and linear geometry can be made simple using ST_UnaryUnion.

Geometry validity primarily applies to 2-dimensional geometries (POLYGONs and MULTIPOLYGONs) . Validity is defined by rules that allow polygonal geometry to model planar areas unambiguously.

A POLYGON is valid if:

(h) and (i) are valid POLYGONs. (j-m) are invalid. (j) can be represented as a valid MULTIPOLYGON.

(h)	(i)	(j)
(k)	(l)	(m)

A MULTIPOLYGON is valid if:

(n) is a valid MULTIPOLYGON. (o) and (p) are invalid.

(n)

(o)

(p)

These rules mean that valid polygonal geometry is also simple.

For linear geometry the only validity rule is that LINESTRINGs must have at least two points and have non-zero length (or equivalently, have at least two distinct points.) Note that non-simple (self-intersecting) lines are valid.

SELECT
   ST_IsValid('LINESTRING(0 0, 1 1)') AS len_nonzero,
   ST_IsValid('LINESTRING(0 0, 0 0, 0 0)') AS len_zero,
   ST_IsValid('LINESTRING(10 10, 150 150, 180 50, 20 130)') AS self_int;

 len_nonzero | len_zero | self_int
-------------+----------+----------
 t           | f        | t

POINT and MULTIPOINT geometries have no validity rules.

PostGIS allows creating and storing both valid and invalid Geometry. This allows invalid geometry to be detected and flagged or fixed. There are also situations where the OGC validity rules are stricter than desired (examples of this are zero-length linestrings and polygons with inverted holes.)

Many of the functions provided by PostGIS rely on the assumption that geometry arguments are valid. For example, it does not make sense to calculate the area of a polygon that has a hole defined outside of the polygon, or to construct a polygon from a non-simple boundary line. Assuming valid geometric inputs allows functions to operate more efficiently, since they do not need to check for topological correctness. (Notable exceptions are that zero-length lines and polygons with inversions are generally handled correctly.) Also, most PostGIS functions produce valid geometry output if the inputs are valid. This allows PostGIS functions to be chained together safely.

If you encounter unexpected error messages when calling PostGIS functions (such as "GEOS Intersection() threw an error!"), you should first confirm that the function arguments are valid. If they are not, then consider using one of the techniques below to ensure the data you are processing is valid.

	If a function reports an error with valid inputs, then you may have found an error in either PostGIS or one of the libraries it uses, and you should report this to the PostGIS project. The same is true if a PostGIS function returns an invalid geometry for valid input.

To test if a geometry is valid use the ST_IsValid function:

SELECT ST_IsValid('POLYGON ((20 180, 180 180, 180 20, 20 20, 20 180))');
-----------------
 t

Information about the nature and location of an geometry invalidity are provided by the ST_IsValidDetail function:

SELECT valid, reason, ST_AsText(location) AS location
    FROM ST_IsValidDetail('POLYGON ((20 20, 120 190, 50 190, 170 50, 20 20))') AS t;

 valid |      reason       |                  location
-------+-------------------+---------------------------------------------
 f     | Self-intersection | POINT(91.51162790697674 141.56976744186045)

In some situations it is desirable to correct invalid geometry automatically. Use the ST_MakeValid function to do this. (ST_MakeValid is a case of a spatial function that does allow invalid input!)

By default, PostGIS does not check for validity when loading geometry, because validity testing can take a lot of CPU time for complex geometries. If you do not trust your data sources, you can enforce a validity check on your tables by adding a check constraint:

ALTER TABLE mytable
  ADD CONSTRAINT geometry_valid_check
        CHECK (ST_IsValid(the_geom));

The SPATIAL_REF_SYS table used by PostGIS is an OGC-compliant database table that defines the available spatial reference systems. It holds the numeric SRIDs and textual descriptions of the coordinate systems.

A tabela SPATIAL_REF_SYS de definição está como segue:

CREATE TABLE spatial_ref_sys (
  srid       INTEGER NOT NULL PRIMARY KEY,
  auth_name  VARCHAR(256),
  auth_srid  INTEGER,
  srtext     VARCHAR(2048),
  proj4text  VARCHAR(2048)
)

As opções da commandline são:

When retrieving spatial reference system definitions for use in transformations, PostGIS uses fhe following strategy:

The PostGIS spatial_ref_sys table contains over 3000 of the most common spatial reference system definitions that are handled by the PROJ projection library. But there are many coordinate systems that it does not contain. You can add SRS definitions to the table if you have the required information about the spatial reference system. Or, you can define your own custom spatial reference system if you are familiar with PROJ constructs. Keep in mind that most spatial reference systems are regional and have no meaning when used outside of the bounds they were intended for.

Uma ótima fonte para encontrar sistemas de referência espacial não definidos na configuração central é http://spatialreference.org/

Alguns dos sistemas de referência espacial mais comumente usados são: 4326 - WGS 84 Long Lat, 4269 - NAD 83 Long Lat, 3395 - WGS 84 World Mercator, 2163 - US National Atlas Equal Area, Spatial reference systems para cadaNAD 83, WGS 84 UTM zona - zonas UTM são as mais ideais para medição, mas só cobrem 6-graus regiões.

Vários estados dos EUA no sistema de referência espacial (em metros ou pés) - normalmente um ou 2 existem por estado. A maioria dos que estão em metros estão no centro, mas muitos dos que estão em pés ou foram criados por ESRI precisarão de spatialreference.org.

You can even define non-Earth-based coordinate systems, such as Mars 2000 This Mars coordinate system is non-planar (it's in degrees spheroidal), but you can use it with the geography type to obtain length and proximity measurements in meters instead of degrees.

Here is an example of loading a custom coordinate system using an unassigned SRID and the PROJ definition for a US-centric Lambert Conformal projection:

INSERT INTO spatial_ref_sys (srid, proj4text)
VALUES ( 990000,
  '+proj=lcc  +lon_0=-95 +lat_0=25 +lat_1=25 +lat_2=25 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs'
);

You can create a table to store geometry data using the CREATE TABLE SQL statement with a column of type geometry. The following example creates a table with a geometry column storing 2D (XY) LineStrings in the BC-Albers coordinate system (SRID 3005):

CREATE TABLE global_points (
    id SERIAL PRIMARY KEY,
    name VARCHAR(64),
    location GEOGRAPHY(POINT,4326)
  );

The geometry type supports two optional type modifiers:

Examples of creating tables with geometry columns:

It is possible to have more than one geometry column in a table. This can be specified when the table is created, or a column can be added using the ALTER TABLE SQL statement. This example adds a column that can hold 3D LineStrings:

ALTER TABLE roads ADD COLUMN geom2 geometry(LINESTRINGZ,4326);

O OpenGIS "Especificação de Características Simples para SQL" define tipos padrão de objetos GIS, as funções requeridas para manipulá-los e um conjunto de tabelas de metadados. Querendo certificar-se de que os metadados permaneçam consistentes, operações como criar e remover uma coluna espacial são carregadas para fora dos procedimentos especiais definido pelo OpenGIS.

\d geometry_columns

View "public.geometry_columns"
      Column       |          Type          | Modifiers
-------------------+------------------------+-----------
 f_table_catalog   | character varying(256) |
 f_table_schema    | character varying(256) |
 f_table_name      | character varying(256) |
 f_geometry_column | character varying(256) |
 coord_dimension   | integer                |
 srid              | integer                |
 type              | character varying(30)  |

As opções da commandline são:

Two of the cases where you may need this are the case of SQL Views and bulk inserts. For bulk insert case, you can correct the registration in the geometry_columns table by constraining the column or doing an alter table. For views, you could expose using a CAST operation. Note, if your column is typmod based, the creation process would register it correctly, so no need to do anything. Also views that have no spatial function applied to the geometry will register the same as the underlying table geometry column.

-- Lets say you have a view created like this
CREATE VIEW public.vwmytablemercator AS
        SELECT gid, ST_Transform(geom, 3395) As geom, f_name
        FROM public.mytable;

-- For it to register correctly
-- You need to cast the geometry
--
DROP VIEW public.vwmytablemercator;
CREATE VIEW  public.vwmytablemercator AS
        SELECT gid, ST_Transform(geom, 3395)::geometry(Geometry, 3395) As geom, f_name
        FROM public.mytable;

-- If you know the geometry type for sure is a 2D POLYGON then you could do
DROP VIEW public.vwmytablemercator;
CREATE VIEW  public.vwmytablemercator AS
        SELECT gid, ST_Transform(geom,3395)::geometry(Polygon, 3395) As geom, f_name
        FROM public.mytable;

--Lets say you created a derivative table by doing a bulk insert
SELECT poi.gid, poi.geom, citybounds.city_name
INTO myschema.my_special_pois
FROM poi INNER JOIN citybounds ON ST_Intersects(citybounds.geom, poi.geom);

-- Create 2D index on new table
CREATE INDEX idx_myschema_myspecialpois_geom_gist
  ON myschema.my_special_pois USING gist(geom);

-- If your points are 3D points or 3M points,
-- then you might want to create an nd index instead of a 2D index
CREATE INDEX my_special_pois_geom_gist_nd
        ON my_special_pois USING gist(geom gist_geometry_ops_nd);

-- To manually register this new table's geometry column in geometry_columns.
-- Note it will also change the underlying structure of the table to
-- to make the column typmod based.
SELECT populate_geometry_columns('myschema.my_special_pois'::regclass);

-- If you are using PostGIS 2.0 and for whatever reason, you
-- you need the constraint based definition behavior
-- (such as case of inherited tables where all children do not have the same type and srid)
-- set optional use_typmod argument to false
SELECT populate_geometry_columns('myschema.my_special_pois'::regclass, false); 

Although the old-constraint based method is still supported, a constraint-based geometry column used directly in a view, will not register correctly in geometry_columns, as will a typmod one. In this example we define a column using typmod and another using constraints.

CREATE TABLE pois_ny(gid SERIAL PRIMARY KEY, poi_name text, cat text, geom geometry(POINT,4326));
SELECT AddGeometryColumn('pois_ny', 'geom_2160', 2160, 'POINT', 2, false);

Se executarmos em psql

\d pois_ny;

Observamos que elas são definidas de maneira diferente -- uma é typmod, outra é restrição

Table "public.pois_ny"
  Column   |         Type          |                       Modifiers

-----------+-----------------------+------------------------------------------------------
 gid       | integer               | not null default nextval('pois_ny_gid_seq'::regclass)
 poi_name  | text                  |
 cat       | character varying(20) |
 geom      | geometry(Point,4326)  |
 geom_2160 | geometry              |
Indexes:
    "pois_ny_pkey" PRIMARY KEY, btree (gid)
Check constraints:
    "enforce_dims_geom_2160" CHECK (st_ndims(geom_2160) = 2)
    "enforce_geotype_geom_2160" CHECK (geometrytype(geom_2160) = 'POINT'::text
        OR geom_2160 IS NULL)
    "enforce_srid_geom_2160" CHECK (st_srid(geom_2160) = 2160)

Nas geometry_columns, elas registram corretamente

SELECT f_table_name, f_geometry_column, srid, type
        FROM geometry_columns
        WHERE f_table_name = 'pois_ny';

f_table_name | f_geometry_column | srid | type
-------------+-------------------+------+-------
pois_ny      | geom              | 4326 | POINT
pois_ny      | geom_2160         | 2160 | POINT

Entretanto -- se se quiséssemos criar uma view como essa

CREATE VIEW vw_pois_ny_parks AS
SELECT *
  FROM pois_ny
  WHERE cat='park';

SELECT f_table_name, f_geometry_column, srid, type
        FROM geometry_columns
        WHERE f_table_name = 'vw_pois_ny_parks';

A coluna baseada em typmod registra corretamente, mas a baseada em restrições não.

f_table_name   | f_geometry_column | srid |   type
------------------+-------------------+------+----------
 vw_pois_ny_parks | geom              | 4326 | POINT
 vw_pois_ny_parks | geom_2160         |    0 | GEOMETRY

Isto pode modificar as versões futuras do PostGIS, mas por enquanto para forçar a restrição baseada em coluna view registrar corretamente, precisamos fazer isto:

DROP VIEW vw_pois_ny_parks;
CREATE VIEW vw_pois_ny_parks AS
SELECT gid, poi_name, cat,
  geom,
  geom_2160::geometry(POINT,2160) As geom_2160
  FROM pois_ny
  WHERE cat = 'park';
SELECT f_table_name, f_geometry_column, srid, type
        FROM geometry_columns
        WHERE f_table_name = 'vw_pois_ny_parks';

f_table_name   | f_geometry_column | srid | type
------------------+-------------------+------+-------
 vw_pois_ny_parks | geom              | 4326 | POINT
 vw_pois_ny_parks | geom_2160         | 2160 | POINT

Se você puder converter seus dados para uma representação de texto, então usar SQL formatado pode ser mais fácil de colocar seus dados no PostGIS. Como com o Oracle e outros banco de dados SQL, dados só podem ser carregados em volume canalizando um grande arquivo de texto cheio de declarações SQL "INSERT" dentro do monitor SQL.

Um arquivo de atualização de dados (roads.sql por exemplo) deve se parecer com:

BEGIN;
INSERT INTO roads (road_id, roads_geom, road_name)
  VALUES (1,'LINESTRING(191232 243118,191108 243242)','Jeff Rd');
INSERT INTO roads (road_id, roads_geom, road_name)
  VALUES (2,'LINESTRING(189141 244158,189265 244817)','Geordie Rd');
INSERT INTO roads (road_id, roads_geom, road_name)
  VALUES (3,'LINESTRING(192783 228138,192612 229814)','Paul St');
INSERT INTO roads (road_id, roads_geom, road_name)
  VALUES (4,'LINESTRING(189412 252431,189631 259122)','Graeme Ave');
INSERT INTO roads (road_id, roads_geom, road_name)
  VALUES (5,'LINESTRING(190131 224148,190871 228134)','Phil Tce');
INSERT INTO roads (road_id, roads_geom, road_name)
  VALUES (6,'LINESTRING(198231 263418,198213 268322)','Dave Cres');
COMMIT;

O arquivo de dados pode ser canalizado para PostgreSQL facilmente usando o "psql" SQL monitor terminal:

psql -d [database] -f roads.sql

O carregador de dados shp2pgsql converte ESRI Shape files em SQL adequado para inserção dentro de um banco de dados PostGIS/PostgreSQL, seja em formato de geometria ou geografia. O carregador possui vários modos de operação distinguidos pelas linhas de bandeiras de comando:

Juntamente com o comando carregador shp2pgsql, existe uma interface shp2pgsql-gui gráfica com a maioria das opções como o carregador, mas pode ser mais fácil de usar para um carregamento único non-scripted ou se você é novo no PostGIS. Pode ser configurado como um plugin do PgAdminIII.

Uma seção exemplo usando o carregador para criar um arquivo de entrada e atualizando ele pode parecer com:

# shp2pgsql -c -D -s 4269 -i -I shaperoads.shp myschema.roadstable > roads.sql
# psql -d roadsdb -f roads.sql

Uma conversão e um upload podem ser feitos em apenas um passo usando encadeamento UNIX:

# shp2pgsql shaperoads.shp myschema.roadstable | psql -d roadsdb

O mais simples significa extrair os dados do banco de dados, é usar uma consulta SQL para reduzir o número de RELATOS e COLUNAS retornados e abandonar as colunas resultantes dentro de um arquivo de texto analisável:

db=# SELECT road_id, ST_AsText(road_geom) AS geom, road_name FROM roads;

road_id | geom                                    | road_name
--------+-----------------------------------------+-----------
          1 | LINESTRING(191232 243118,191108 243242) | Jeff Rd
          2 | LINESTRING(189141 244158,189265 244817) | Geordie Rd
          3 | LINESTRING(192783 228138,192612 229814) | Paul St
          4 | LINESTRING(189412 252431,189631 259122) | Graeme Ave
          5 | LINESTRING(190131 224148,190871 228134) | Phil Tce
          6 | LINESTRING(198231 263418,198213 268322) | Dave Cres
          7 | LINESTRING(218421 284121,224123 241231) | Chris Way
(6 rows)

Entretanto, às vezes algum tipo de restrição será necessária para cortar o número de campos retornados. No caso de restrições baseadas em atributos, só use a mesma sintaxe SQL como normal com uma tabela não espacial. No caso de restrições espaciais, os operadores seguintes são úteis/disponíveis:

Next, you can use these operators in queries. Note that when specifying geometries and boxes on the SQL command line, you must explicitly turn the string representations into geometries function. The 312 is a fictitious spatial reference system that matches our data. So, for example:

SELECT road_id, road_name
  FROM roads
  WHERE roads_geom='SRID=312;LINESTRING(191232 243118,191108 243242)'::geometry;

A consulta acima retornaria um único relato da tabela "ROADS_GEOM"na qual a geometria era igual ao valor.

To check whether some of the roads passes in the area defined by a polygon:

SELECT road_id, road_name
FROM roads
WHERE ST_Intersects(roads_geom, 'SRID=312;POLYGON((...))');

The most common spatial query will probably be a "frame-based" query, used by client software, like data browsers and web mappers, to grab a "map frame" worth of data for display.

Usando o operador "&&" , você pode especificar uma CAIXA3D como uma caracetrística de comparação ou uma GEOMETRIA. Entretanto, quando você especifica uma GEOMETRIA, a caixa delimitadora dela será usada para a comparação.

Using a "BOX3D" object for the frame, such a query looks like this:

SELECT ST_AsText(roads_geom) AS geom
FROM roads
WHERE
  roads_geom && ST_MakeEnvelope(191232, 243117,191232, 243119,312);

Observe o uso do SRID 312, para especificar a projeção do envelope.

A tabela dumper pgsql2shp conecta diretamente ao banco de dados e converte uma tabela (possivelmente definida por uma consulta) em um shapefile. A sintaxe básica é:

pgsql2shp [<options>] <database> [<schema>.]<table>

pgsql2shp [<options>] <database> <query>

As opções da commandline são:

GiST significa "Árvores de Pesquisa Generalizada" e é uma forma genérica de classificar. Além disso, ele é usado para acelerar pesquisas em todos os tipos de estruturas de dados irregulares (arranjos inteiros, dados espectrais etc) que não são agradáveis à classificação normal B-Tree.

Uma vez que uma tabela de dados GIS excede pouco mais de mil filas, você irá querer construir um índice para acelerar pesquisas espaciais dos dados (a menos que suas pesquisas sejam baseadas em atributos, você vai querer construir um índice normal nos campos de atributo).

A sintaxe para construir um índice GiST em uma coluna "geométrica" é a seguinte:

CREATE INDEX [indexname] ON [tablename] USING GIST ( [geometryfield] ); 

The above syntax will always build a 2D-index. To get the an n-dimensional index for the geometry type, you can create one using this syntax:

CREATE INDEX [indexname] ON [tablename] USING GIST ([geometryfield] gist_geometry_ops_nd);

Building a spatial index is a computationally intensive exercise. It also blocks write access to your table for the time it creates, so on a production system you may want to do in in a slower CONCURRENTLY-aware way:

CREATE INDEX CONCURRENTLY [indexname] ON [tablename] USING GIST ( [geometryfield] ); 

After building an index, it is sometimes helpful to force PostgreSQL to collect table statistics, which are used to optimize query plans:

VACUUM ANALYZE [table_name] [(column_name)];

BRIN stands for "Block Range Index". It is a general-purpose index method introduced in PostgreSQL 9.5. BRIN is a lossy index method, meaning that a secondary check is required to confirm that a record matches a given search condition (which is the case for all provided spatial indexes). It provides much faster index creation and much smaller index size, with reasonable read performance. Its primary purpose is to support indexing very large tables on columns which have a correlation with their physical location within the table. In addition to spatial indexing, BRIN can speed up searches on various kinds of attribute data structures (integer, arrays etc). For more information see the PostgreSQL manual.

Once a spatial table exceeds a few thousand rows, you will want to build an index to speed up spatial searches of the data. GiST indexes are very performant as long as their size doesn't exceed the amount of RAM available for the database, and as long as you can afford the index storage size, and the cost of index update on write. Otherwise, for very large tables BRIN index can be considered as an alternative.

A BRIN index stores the bounding box enclosing all the geometries contained in the rows in a contiguous set of table blocks, called a block range. When executing a query using the index the block ranges are scanned to find the ones that intersect the query extent. This is efficient only if the data is physically ordered so that the bounding boxes for block ranges have minimal overlap (and ideally are mutually exclusive). The resulting index is very small in size, but is typically less performant for read than a GiST index over the same data.

Building a BRIN index is much less CPU-intensive than building a GiST index. It's common to find that a BRIN index is ten times faster to build than a GiST index over the same data. And because a BRIN index stores only one bounding box for each range of table blocks, it's common to use up to a thousand times less disk space than a GiST index.

You can choose the number of blocks to summarize in a range. If you decrease this number, the index will be bigger but will probably provide better performance.

For BRIN to be effective, the table data should be stored in a physical order which minimizes the amount of block extent overlap. It may be that the data is already sorted appropriately (for instance, if it is loaded from another dataset that is already sorted in spatial order). Otherwise, this can be accomplished by sorting the data by a one-dimensional spatial key. One way to do this is to create a new table sorted by the geometry values (which in recent PostGIS versions uses an efficient Hilbert curve ordering):

CREATE TABLE table_sorted AS
   SELECT * FROM table  ORDER BY geom;

Alternatively, data can be sorted in-place by using a GeoHash as a (temporary) index, and clustering on that index:

CREATE INDEX idx_temp_geohash ON table
    USING btree (ST_GeoHash( ST_Transform( geom, 4326 ), 20));
CLUSTER table USING idx_temp_geohash;

A sintaxe para construir um índice GiST em uma coluna "geométrica" é a seguinte:

CREATE INDEX [indexname] ON [tablename] USING GIST ( [geometryfield] ); 

The above syntax builds a 2D index. To build a 3D-dimensional index, use this syntax:

CREATE INDEX [indexname] ON [tablename] USING GIST ([geometryfield] gist_geometry_ops_nd);

You can also get a 4D-dimensional index using the 4D operator class:

CREATE INDEX [indexname] ON [tablename] USING GIST ([geometryfield] gist_geometry_ops_nd);

The above commands use the default number of blocks in a range, which is 128. To specify the number of blocks to summarise in a range, use this syntax

CREATE INDEX [indexname] ON [tablename] USING GIST ([geometryfield] gist_geometry_ops_nd); 

Keep in mind that a BRIN index only stores one index entry for a large number of rows. If your table stores geometries with a mixed number of dimensions, it's likely that the resulting index will have poor performance. You can avoid this performance penalty by choosing the operator class with the least number of dimensions of the stored geometries

The geography datatype is supported for BRIN indexing. The syntax for building a BRIN index on a geography column is:

CREATE INDEX [indexname] ON [tablename] USING GIST ( [geometryfield] ); 

The above syntax builds a 2D-index for geospatial objects on the spheroid.

Currently, only "inclusion support" is provided, meaning that just the &&, ~ and @ operators can be used for the 2D cases (for both geometry and geography), and just the &&& operator for 3D geometries. There is currently no support for kNN searches.

An important difference between BRIN and other index types is that the database does not maintain the index dynamically. Changes to spatial data in the table are simply appended to the end of the index. This will cause index search performance to degrade over time. The index can be updated by performing a VACUUM, or by using a special function brin_summarize_new_values(regclass). For this reason BRIN may be most appropriate for use with data that is read-only, or only rarely changing. For more information refer to the manual.

To summarize using BRIN for spatial data:

SP-GiST stands for "Space-Partitioned Generalized Search Tree" and is a generic form of indexing for multi-dimensional data types that supports partitioned search trees, such as quad-trees, k-d trees, and radix trees (tries). The common feature of these data structures is that they repeatedly divide the search space into partitions that need not be of equal size. In addition to spatial indexing, SP-GiST is used to speed up searches on many kinds of data, such as phone routing, ip routing, substring search, etc. For more information see the PostgreSQL manual.

As it is the case for GiST indexes, SP-GiST indexes are lossy, in the sense that they store the bounding box enclosing spatial objects. SP-GiST indexes can be considered as an alternative to GiST indexes.

Once a GIS data table exceeds a few thousand rows, an SP-GiST index may be used to speed up spatial searches of the data. The syntax for building an SP-GiST index on a "geometry" column is as follows:

CREATE INDEX [indexname] ON [tablename] USING SPGIST ( [geometryfield] ); 

The above syntax will build a 2-dimensional index. A 3-dimensional index for the geometry type can be created using the 3D operator class:

CREATE INDEX [indexname] ON [tablename] USING SPGIST ([geometryfield] spgist_geometry_ops_3d);

Building a spatial index is a computationally intensive operation. It also blocks write access to your table for the time it creates, so on a production system you may want to do in in a slower CONCURRENTLY-aware way:

CREATE INDEX CONCURRENTLY [indexname] ON [tablename] USING SPGIST ( [geometryfield] ); 

After building an index, it is sometimes helpful to force PostgreSQL to collect table statistics, which are used to optimize query plans:

VACUUM ANALYZE [table_name] [(column_name)];

An SP-GiST index can accelerate queries involving the following operators:

There is no support for kNN searches at the moment.

Ordinarily, indexes invisibly speed up data access: once an index is built, the PostgreSQL query planner automatically decides when to use it to improve query performance. But there are some situations where the planner does not choose to use existing indexes, so queries end up using slow sequential scans instead of a spatial index.

Se você achar que seus índices não estão sendo usados (ou seus atributos) há algumas coisas que pode fazer:

For more information see the Postgres manual section on Query Planning.

According to the OpenGIS Simple Features Implementation Specification for SQL, "the basic approach to comparing two geometries is to make pair-wise tests of the intersections between the Interiors, Boundaries and Exteriors of the two geometries and to classify the relationship between the two geometries based on the entries in the resulting 'intersection' matrix."

In the theory of point-set topology, the points in a geometry embedded in 2-dimensional space are categorized into three sets:

The Dimensionally Extended 9-Intersection Model (DE-9IM) describes the spatial relationship between two geometries by specifying the dimensions of the 9 intersections between the above sets for each geometry. The intersection dimensions can be formally represented in a 3x3 intersection matrix.

For a geometry g the Interior, Boundary, and Exterior are denoted using the notation I(g), B(g), and E(g). Also, dim(s) denotes the dimension of a set s with the domain of {0,1,2,F}:

Using this notation, the intersection matrix for two geometries a and b is:

Visually, for two overlapping polygonal geometries, this looks like:

	Interior Boundary Exterior Interior dim( I(a) ∩ I(b) ) = 2 dim( I(a) ∩ B(b) = 1 dim( I(a) ∩ E(b) ) = 2 Boundary dim( B(a) ∩ I(b) ) = 1 dim( B(a) ∩ B(b) ) = 0 dim( B(a) ∩ E(b) ) = 1 Exterior dim( E(a) ∩ I(b) ) = 2 dim( E(a) ∩ B(b) ) = 1 dim( E(a) ∩ E(b) = 2

Reading from left to right and top to bottom, the intersection matrix is represented as the text string '212101212'.

For more information, refer to:

To make it easy to determine common spatial relationships, the OGC SFS defines a set of named spatial relationship predicates. PostGIS provides these as the functions ST_Contains, ST_Crosses, ST_Disjoint, ST_Equals, ST_Intersects, ST_Overlaps, ST_Touches, ST_Within. It also defines the non-standard relationship predicates ST_Covers, ST_CoveredBy, and ST_ContainsProperly.

Spatial predicates are usually used as conditions in SQL WHERE or JOIN clauses. The named spatial predicates automatically use a spatial index if one is available, so there is no need to use the bounding box operator && as well. For example:

SELECT city.name, state.name, city.geom
FROM city JOIN state ON ST_Intersects(city.geom, state.geom);

For more details and illustrations, see the PostGIS Workshop.

In some cases the named spatial relationships are insufficient to provide a desired spatial filter condition.

For example, consider a linear dataset representing a road network. It may be required to identify all road segments that cross each other, not at a point, but in a line (perhaps to validate some business rule). In this case ST_Crosses does not provide the necessary spatial filter, since for linear features it returns true only where they cross at a point. A two-step solution would be to first compute the actual intersection (ST_Intersection) of pairs of road lines that spatially intersect (ST_Intersects), and then check if the intersection's ST_GeometryType is 'LINESTRING' (properly dealing with cases that return GEOMETRYCOLLECTIONs of [MULTI]POINTs, [MULTI]LINESTRINGs, etc.). Clearly, a simpler and faster solution is desirable.

A second example is locating wharves that intersect a lake's boundary on a line and where one end of the wharf is up on shore. In other words, where a wharf is within but not completely contained by a lake, intersects the boundary of a lake on a line, and where exactly one of the wharf's endpoints is within or on the boundary of the lake. It is possible to use a combination of spatial predicates to find the required features: ST_Contains(lake, wharf) = TRUE ST_ContainsProperly(lake, wharf) = FALSE ST_GeometryType(ST_Intersection(wharf, lake)) = 'LINESTRING' ST_NumGeometries(ST_Multi(ST_Intersection(ST_Boundary(wharf), ST_Boundary(lake)))) = 1 ... but needless to say, this is quite complicated.

These requirements can be met by computing the full DE-9IM intersection matrix. PostGIS provides the ST_Relate function to do this:

SELECT ST_Relate( 'LINESTRING (1 1, 5 5)',
                  'POLYGON ((3 3, 3 7, 7 7, 7 3, 3 3))' );
st_relate
-----------
1010F0212

To test a particular spatial relationship, an intersection matrix pattern is used. This is the matrix representation augmented with the additional symbols {T,*}:

Using intersection matrix patterns, specific spatial relationships can be evaluated in a more succinct way. The ST_Relate and the ST_RelateMatch functions can be used to test intersection matrix patterns. For the first example above, the intersection matrix pattern specifying two lines intersecting in a line is '1*1***1**':

-- Find road segments that intersect in a line
SELECT a.id
FROM roads a, roads b
WHERE a.id != b.id
      AND a.geom && b.geom
      AND ST_Relate(a.geom, b.geom, '1*1***1**');

For the second example, the intersection matrix pattern specifying a line partly inside and partly outside a polygon is '102101FF2':

-- Find wharves partly on a lake's shoreline
SELECT a.lake_id, b.wharf_id
FROM lakes a, wharfs b
WHERE a.geom && b.geom
      AND ST_Relate(a.geom, b.geom, '102101FF2');

Versões atuais do PostgreSQL (incluindo a 8.0) sofrem de um problem no otimizador de queries quando falamos de tabelas TOAST. As tabelas TOAST são extensões utilizadas para armazenamento de grandes valores (no sentido de tamanho do dado) que não cabem normalmente nas páginas de dados (grandes blocos de texto, imagens ou geometrias complexas com muitos vértices, veja a documentação oficial para maiores informações).

Este problema ocorre se você possui tabelas com geometrias grandes, mas não muitas linhas (uma tabela dos limites todos os países europeus em alta resolução). A tabela em si, é pequena, mas utiliza muito espaço TOAST. Em nosso exemplo, a tabela em si possuía apenas 80 linhas e utilizava apenas 3 páginas de dados, mas a tabela TOAST utilizava 8225 páginas de dados.

Emita uma pesquisa onde você utiliza o operador && para pesquisa por um retângulo envolvente que bate com poucas dessas linhas. O otimizador de pesquisas ve esta tabela contendo apenas 3 páginas e 80 linhas. Como a tabela é pequena, ele estima que um scan sequencial em uma tabela tão pequena será mais rápida do que utilizar um índice, ignorando o mesmo. Geralmente esta estimativa é correta, mas em nosso caso o operador && tem que buscar todas as geometrias em disco para comparação dos retângulos envolventes, lendo todas as páginas TOAST também.

Para visualizar se você sofre com este bug, utilize um "EXPLAIN ANALYZE" na pesquisa em questão. Para maiores informações e detalhes técnicos, você pode recorrer a lista do postgres sobre desempenho: http://archives.postgresql.org/pgsql-performance/2005-02/msg00030.php

and newer thread on PostGIS https://lists.osgeo.org/pipermail/postgis-devel/2017-June/026209.html

O pessoal responsável pelo PostgreSQL está tentando resolver esta questão por transformar o otimizador de pesquisas ciente das tabelas TOAST. Por enquanto, existem duas soluções:

A primeira solução é forçar o estimador de pesquisar a utilizar o índice. Emita um comando "SET enable_seqscan TO off" ao servidor antes de emitir a pesquisa. Isto força o estimador a evitar scans sequenciais sempre que possível, utilizando o índice GIST como de costume. Mas esta flag deve ser setada para cada conexão e causa o estimador a decidir mal em outros casos, portanto, você deve habilitar "SET enable_seqscan TO on;" após a pesquisa.

A segunda solução é fazer a pesquisa sequencial tão rápida quanto o estimador imagina. Isto pode ser feito criando uma coluna adicional que cacheia o retângulo envolvente e realizando as pesquisas em cima desta coluna. Em nosso exemplo, os comandos são:

SELECT AddGeometryColumn('myschema','mytable','bbox','4326','GEOMETRY','2');
UPDATE mytable SET bbox = ST_Envelope(ST_Force2D(the_geom));

Altere sua query para usar o operador && contra o retângulo envolvente ao invés da colunas geométrica, assim:

SELECT geom_column
FROM mytable
WHERE bbox && ST_SetSRID('BOX3D(0 0,1 1)'::box3d,4326);

Claro, se você alterar ou adicionar colunas a mytable, você deve manter o retângulo envolvente em sincronia. A forma mais transparente de fazer isto seria através de triggers, mas você também querer modificar sua aplicação para manter a coluna do retângulo envolvente atualizada or executar a query de UPDATE após cada modificação.

Para utilizar o PostGIS com o MapServer, você precisa saber como configurar o MapServer, o que esta além do escopo desta documentação. Esta seção ira cobrir questões relativas ao PostGIS, além de detalhes de configuração.

Para utilizar o PostGIS com o MapServer, você vai precisar:

O MapServer acessa os dados do PostGIS/PostgreSQL como qualquer outro cliente PostgreSQL -- utilizando a interface libpq. Isso significa que o MapServer pode ser instalado em qualquer máquina com acesso à rede para o servidor do PostGIS, e usar o POstGIS como uma fonte de dados. Quanto mais rápida a conexão entre os sistemas, melhor.

A pseudo oração SQL USING é usada para adicionar algumas informações para ajudar o mapserver a entender os resultados de pesquisas mais avançadas. Mais especificamente, quando uma view ou uma subselect são usadas como a source table (a coisa para a direita do "DE" em uma definição DATA) é mais difícil para o mapserver determinar automaticamente um identificador único para cada fila e também a SRID para a table. A oração USING pode fornecer o mapserver com essas duas informações:

DATA "geom FROM (
  SELECT
    table1.geom AS geom,
    table1.gid AS gid,
    table2.data AS data
  FROM table1
  LEFT JOIN table2
  ON table1.id = table2.id
) AS new_table USING UNIQUE gid USING SRID=4326"

Vamos começar com um exemplo simples e trabalhar com ele. Considere a seguinte definição de camada MapServer:

LAYER
  CONNECTIONTYPE postgis
  NAME "roads"
  CONNECTION "user=theuser password=thepass dbname=thedb host=theserver"
  DATA "geom from roads"
  STATUS ON
  TYPE LINE
  CLASS
    STYLE
      COLOR 0 0 0
    END
  END
END

Essa camada irá expor todas as geometrias de rua nas roads tables como linhas pretas.

Agora, digamos que queremos mostrar somente as estradas antes de aproximarmos para uma escala 1:100000 - as próximas duas camadas irão alcançar esse efeito:

LAYER
  CONNECTIONTYPE postgis
  CONNECTION "user=theuser password=thepass dbname=thedb host=theserver"
  PROCESSING "CLOSE_CONNECTION=DEFER"
  DATA "geom from roads"
  MINSCALE 100000
  STATUS ON
  TYPE LINE
  FILTER "road_type = 'highway'"
  CLASS
    COLOR 0 0 0
  END
END
LAYER
  CONNECTIONTYPE postgis
  CONNECTION "user=theuser password=thepass dbname=thedb host=theserver"
  PROCESSING "CLOSE_CONNECTION=DEFER"
  DATA "geom from roads"
  MAXSCALE 100000
  STATUS ON
  TYPE LINE
  CLASSITEM road_type
  CLASS
    EXPRESSION "highway"
    STYLE
      WIDTH 2
      COLOR 255 0 0
    END
  END
  CLASS
    STYLE
      COLOR 0 0 0
    END
  END
END

A primeira camada é usada quando a escala é maior que 1:100000, e exibe apenas as ruas do tipo "estrada" como linhas pretas. A opção FILTRO faz com que apenas as ruas do tipo "estradas" sejam exibidas.

A segunda camada é usada quando a escala é menor que 1:100000, e irá exibir estradas como duas linhas vermelhas grossas, e outras ruas como linhas pretas normais.

Portanto, fizemos algumas coisas interessantes utilizando apenas a funcionalidade MapServer, mas nossa declaração SQL DATA continuou simples. Suponha que o nome da rua está guardado em outra table (por alguma razão) e precisamos ingressar para pegar ele e etiquetar nossas ruas.

LAYER
  CONNECTIONTYPE postgis
  CONNECTION "user=theuser password=thepass dbname=thedb host=theserver"
  DATA "geom FROM (SELECT roads.gid AS gid, roads.geom AS geom,
        road_names.name as name FROM roads LEFT JOIN road_names ON
        roads.road_name_id = road_names.road_name_id)
        AS named_roads USING UNIQUE gid USING SRID=4326"
  MAXSCALE 20000
  STATUS ON
  TYPE ANNOTATION
  LABELITEM name
  CLASS
    LABEL
      ANGLE auto
      SIZE 8
      COLOR 0 192 0
      TYPE truetype
      FONT arial
    END
  END
END

Essa camada de comentário adiciona etiquetas verdes a todas as ruas quando a escala fica abaixo de 1:20000 ou menor que isso. Ela também demonstra como usar um ingresso SQL em uma definição DATA.

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