本文讲述了如何使用CQL and ECQL查询语言,文章摘自GeoServer官网。在GeoServer的WMS和WFS动态渲染图层,并通过不同的例子具体说明。其中CQL and ECQL查询语言放置在定义WMS和WFS图层的params中,示例代码如下:

var WMSsource = new ol.source.ImageWMS({
    ratio: 1,
    url: 'http://wangxch:8081/geoserver/QHH/wms',
    params: {
        'FORMAT': format,
        'VERSION': '1.1.1',
        "LAYERS": 'QHH:p242landownershipP',
        "exceptions": 'application/vnd.ogc.se_inimage',
        'CQL_FILTER': "province=xining" //过滤条件
    }
});

CQL (Common Query Language) is a query language created by the OGC for the Catalogue Web Services specification. Unlike the XML-based Filter Encoding language, CQL is written using a familiar text-based syntax. It is thus more readable and better-suited for manual authoring.

However, CQL has some limitations. For example it cannot encode id filters, and it requires an attribute to be on the left side of any comparison operator. For this reason, GeoServer provides an extended version of CQL called ECQL. ECQL removes the limitations of CQL, providing a more flexible language with stronger similarities with SQL.

GeoServer supports the use of both CQL and ECQL in WMS and WFS requests, as well as in GeoServer’s SLD dynamic symbolizers. Whenever the documentation refers to CQL, ECQL syntax can be used as well (and if not, please report that as a bug!).

This tutorial introduces the CQL/ECQL language by example. For a full reference, refer to the ECQL Reference.

Getting started

The following examples use the topp:states sample layer shipped with GeoServer. They demonstrate how CQL filters work by using the WMS CQL_FILTER vendor parameter to alter the data displayed by WMS requests. The easiest way to follow the tutorial is to open the GeoServer Map Preview for the topp:states layer. Click on the Options button at the top of the map preview to open the advanced options toolbar. The example filters can be entered in the Filter: CQL box.
image-1668144308223
topp:states preview with advanced toolbar open.

The attributes used in the filter examples are those included in the layer. For example, the following are the attribute names and values for the Colorado feature:

Attribute states.6
STATE_NAME Colorado
STATE_FIPS 08
SUB_REGION Mtn
STATE_ABBR CO
LAND_KM 268659.501
WATER_KM 960.364
PERSONS 3294394.0
FAMILIES 854214.0
HOUSHOLD 1282489.0
MALE 1631295.0
FEMALE 1663099.0
WORKERS 1233023.0
DRVALONE 1216639.0
CARPOOL 210274.0
PUBTRANS 46983.0
EMPLOYED 1633281.0
UNEMPLOY 99438.0
SERVICE 421079.0
MANUAL 181760.0
P_MALE 0.495
P_FEMALE 0.505
SAMP_POP 512677.0

Simple comparisons

Let’s get started with a simple example. In CQL arithmetic and comparisons are expressed using plain text. The filter PERSONS > 15000000 will select states that have more than 15 million inhabitants:
image-1668144819868
PERSONS > 15000000

The full list of comparison operators is: =, <>, >, >=, <, <=.

To select a range of values the BETWEEN operator can be used: PERSONS BETWEEN 1000000 AND 3000000:
image-1668144835970
PERSONS BETWEEN 1000000 AND 3000000

Comparison operators also support text values. For instance, to select only the state of California, the filter is STATE_NAME = ‘California’. More general text comparisons can be made using the LIKEoperator. STATE_NAME LIKE ‘N%’ will extract all states starting with an “N”:
image-1668144850586
STATE_NAME LIKE ‘N%’

It is also possible to compare two attributes with each other. MALE > FEMALE selects the states in which the male population surpasses the female one (a rare occurrence):
image-1668144902402
MALE > FEMALE

Arithmetic expressions can be computed using the +, -, *, / operators. The filter UNEMPLOY / (EMPLOYED + UNEMPLOY) > 0.07 selects all states whose unemployment ratio is above 7% (remember the sample data is very old, so don’t draw any conclusion from the results!)
image-1668144922416
UNEMPLOY / (EMPLOYED + UNEMPLOY) > 0.07

Id and list comparisons

If we want to extract only the states with specific feature ids we can use the IN operator without specifying any attribute, as in IN (‘states.1’, ‘states.12’):
image-1668144937120
IN (‘states.1’, ‘states.12’)

If instead we want to extract the states whose name is in a given list we can use the IN operator specifying an attribute name, as in STATE_NAME IN (‘New York’, ‘California’, ‘Montana’, ‘Texas’):
image-1668144950868
STATE_NAME IN (‘New York’, ‘California’, ‘Montana’, ‘Texas’)

Filter functions

CQL/ECQL can use any of the filter functions available in GeoServer. This greatly increases the power of CQL expressions.

For example, suppose we want to find all states whose name contains an “m”, regardless of letter case. We can use the strToLowerCase to turn all the state names to lowercase and then use a like comparison: strToLowerCase(STATE_NAME) like ‘%m%’:
image-1668144965077
strToLowerCase(STATE_NAME) like ‘%m%’

Geometric filters

CQL provides a full set of geometric filter capabilities. Say, for example, you want to display only the states that intersect the (-90,40,-60,45) bounding box. The filter will be BBOX(the_geom, -90, 40, -60, 45)
image-1668144983408
BBOX(the_geom, -90, 40, -60, 45)

Conversely, you can select the states that do not intersect the bounding box with the filter: DISJOINT(the_geom, POLYGON((-90 40, -90 45, -60 45, -60 40, -90 40))):
image-1668144997684
DISJOINT(the_geom, POLYGON((-90 40, -90 45, -60 45, -60 40, -90 40)))

The full list of geometric predicates is: EQUALS, DISJOINT, INTERSECTS, TOUCHES, CROSSES, WITHIN, CONTAINS, OVERLAPS, RELATE, DWITHIN, BEYOND.