The idea of mass distribution of GIS projects

1. Discrete aggregation point

 Front end discrete aggregation point （2-5 Ten thousand , Front end aggregation can directly get each data information ）;
 Backend aggregation （ There is no problem with hundreds of thousands or millions of data , Back end aggregation requires a second query ）;

2. Publish grid slices

 Data exists in the form of pictures 、 It can load massive data 
 shortcoming ： Data is rendered at one time , Cannot modify update - No interaction ;
 advantage ： Fast loading speed .

3. Backend generation mvt Vector slicing （ Suggest ）

 Data in vector files or in database tables 、 It can load massive data 
 shortcoming ： The data structure is complex , Back end technical difficulties .
 advantage ： Support for updates , modify , Fast loading speed , High pixel .

4. Backend generation pb file , Front end parsing load

 Data in database 、 The amount of data loaded is limited json Data should be fast , Front end data format processing is troublesome .

5. Release wfs（ Use less ）

 It is convenient to add, delete, modify and query data 、 Not suitable for large amount of data display .
 Need to create sde library , Ensure that data updates are synchronized to the server at the same time .

6. Spatial query

 Click the map to query the data ： You can click on the coordinates returned from the map to sde Library to space query （ Define query method 、 Content 、 Range ）.
 Can also pass arcgis  Services do spatial queries . Reference resources ：https://developers.arcgis.com/rest/services-reference/identify-map-service-.htm. Make corresponding display according to the returned data