Trajectory参考的属性函数ST_attrFloatFilter_云数据库 RDS(RDS)-阿里云帮助中心

指定轨迹属性字段，根据固定值，过滤出符合条件的轨迹点，返回过滤后的属性字段值（数组）。

语法

float8[] ST_attrFloatFilter(trajectory traj, cstring attr_field_name,cstring operator, float8 value);
float8[] ST_attrFloatFilter(trajectory traj, cstring attr_field_name,cstring operator, float8 value1, float8 value2);

参数

参数名称	描述
traj	轨迹对象。
attr_field_name	指定的属性名称。
operator	过滤符，`'='`，`'!='`，`'>'`，`'<'`，`'>='`，`'<='`，`'[]'`，`'(]'`，`'[)'`，`'()'`。
value、value1	属性固定值下限。
value2	属性固定值上限。

描述

只支持类型为float的属性字段。

示例

create table traj(id integer, traj trajectory);
insert into traj values(2,ST_makeTrajectory('STPOINT'::leaftype, 'LINESTRING(-179.48077 51.72814,-179.46731 51.74634,-179.46502 51.74934,-179.46183 51.75378,-179.45943 51.75736,-179.45560 51.76273,-179.44845 51.77186,-179.43419 51.78977,-179.41259 51.81643,-179.41001 51.81941,-179.40751 51.82223,-179.40497 51.82505,-179.40242 51.82796,-179.39981 51.83095,-179.39734 51.83398,-179.39499 51.83709)'::geometry, ARRAY['2017-01-15 09:06:39'::timestamp,'2017-01-15 09:14:48','2017-01-15 09:13:39','2017-01-15 09:16:28','2017-01-15 09:19:48','2017-01-15 09:17:48','2017-01-15 09:23:19','2017-01-15 09:34:40','2017-01-15 09:30:28','2017-01-15 09:36:59','2017-01-15 09:38:09','2017-01-15 09:39:18','2017-01-15 09:40:40','2017-01-15 09:47:38','2017-01-15 21:18:30','2017-01-15 09:48:49'], '{"leafcount": 16, "attributes" : {"heading" : {"type": "float", "length": 8, "nullable" : false,"value":[23.0,23.0,23.0,23.0,21.0,21.0,72.0,72.0,72.0,72.0,73.0,74.0,73.0,73.0,73.0,73.0]}}}'));


select st_attrFloatFilter(traj, 'heading', '>', 23.0) from traj where id = 2;
       st_attrfloatfilter        
---------------------------------
 {72,72,72,72,73,74,73,73,73,73}
(1 row)