greenplum安装PostGis
1、下载Greenplum的postgis插件
下载地址：
https://network.pivotal.io/products/pivotal-gpdb/#/releases/449820/file_groups/2053
注意选择相应的版本，如果版本对应不上安装将失败。
2、安装
gppkg -i postgis-2.1.5+pivotal.2-2-gp6-rhel7-x86_64.gppkg
即可完成安装
3、测试
在相应的数据库执行：
./psql -h [ip] -p [port] -d [db_name] -f /usr/local/greenplum-db/share/postgresql/contrib/postgis-2.1/install/postgis.sql
./psql -h [ip] -p [port] -d [db_name] -f /usr/local/greenplum-db/share/postgresql/contrib/postgis-2.1/install/spatial_ref_sys.sql安装完成之后，可以在相应的数据库中看到如下表spatial_ref_sys和另外2张视图， spatial_ref_sys 存储着合法的空间坐标系统：
# SELECT srid,auth_name,proj4text FROM spatial_ref_sys LIMIT 10;
srid | auth_name | proj4text
------+-----------+-------------------------------------------------------------------
3889 | EPSG | +proj=longlat +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +no_defs
4001 | EPSG | +proj=longlat +ellps=airy +no_defs
4009 | EPSG | +proj=longlat +a=6378450.047548896 +b=6356826.621488444 +no_defs
4025 | EPSG | +proj=longlat +ellps=WGS66 +no_defs
4033 | EPSG | +proj=longlat +a=6378136.3 +b=6356751.616592146 +no_defs
4041 | EPSG | +proj=longlat +a=6378135 +b=6356750.304921594 +no_defs
4081 | EPSG | +proj=longlat +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +no_defs
4120 | EPSG | +proj=longlat +ellps=bessel +no_defs
4128 | EPSG | +proj=longlat +ellps=clrk66 +no_defs
4136 | EPSG | +proj=longlat +ellps=clrk66 +no_defs
(10 rows)
添加表测试：
# CREATE TABLE cities ( id int4, name varchar(50) );
NOTICE: Table doesn't have 'DISTRIBUTED BY' clause -- Using column named 'id' as the Greenplum Database data distribution key for this table.
HINT: The 'DISTRIBUTED BY' clause determines the distribution of data. Make sure column(s) chosen are the optimal data distribution key to minimize skew.
CREATE TABLE
# SELECT AddGeometryColumn ('cities', 'the_geom', 4326, 'POINT', 2);
addgeometrycolumn
-----------------------------------------------------
public.cities.the_geom SRID:4326 TYPE:POINT DIMS:2
(1 row)
# SELECT * from cities;
id | name | the_geom
----+------+----------
(0 rows)
插入数据并查看
INSERT INTO cities (id, the_geom, name) VALUES (1,ST_GeomFromText('POINT(-0.1257 51.508)',4326),'London, England');
INSERT INTO cities (id, the_geom, name) VALUES (2,ST_GeomFromText('POINT(-81.233 42.983)',4326),'London, Ontario');
INSERT INTO cities (id, the_geom, name) VALUES (3,ST_GeomFromText('POINT(27.91162491 -33.01529)',4326),'East London,SA');
# SELECT * FROM cities;
id | name | the_geom
----+-----------------+----------------------------------------------------
3 | East London,SA | 0101000020E610000040AB064060E93B4059FAD005F58140C0
1 | London, England | 0101000020E6100000BBB88D06F016C0BF1B2FDD2406C14940
2 | London, Ontario | 0101000020E6100000F4FDD478E94E54C0E7FBA9F1D27D4540
(3 rows)
空间计算：
# SELECT p1.name,p2.name,ST_Distance_Sphere(p1.the_geom,p2.the_geom) FROM cities AS p1, cities AS p2 WHERE p1.id > p2.id;
name | name | st_distance_sphere
-----------------+-----------------+--------------------
East London,SA | London, England | 9789680.59961472
East London,SA | London, Ontario | 13892208.6782928
London, Ontario | London, England | 5875787.03777356
(3 rows)