SpringElasticsearchImmoWebEn

Use ElasticSearch to optimize the house searching

Introduction

Technologies :

 - SpringBoot2.1,Datatables, BootStrap.
 - MySQL, ElasticSearch.
 - Application Server : SpringBoot Embedded Server

Purpose of this application

Create the search engine using ElasticSearch for the real estate website.

House index template

PUT : http://localhost:9200/ccimmo/

{ "settings": { "number_of_replicas": 3 }, "mappings": { "house": { "dynamic": false, "properties": { "houseId": { "type": "long" }, "title": { "type": "text", "index": "analyzed" }, "price": { "type": "integer" }, "area": { "type": "integer" }, "createTime": { "type": "date", "format": "strict_date_optional_time||epoch_millis" }, "lastUpdateTime": { "type": "date", "format": "strict_date_optional_time||epoch_millis" }, "cityEnName": { "type": "keyword" }, "regionEnName": { "type": "keyword" }, "direction": { "type": "integer" }, "distanceToSubway": { "type": "integer" }, "subwayLineName": { "type": "keyword" }, "subwayStationName": { "type": "keyword" }, "tags": { "type": "text" }, "street": { "type": "keyword" }, "district": { "type": "keyword" }, "description": { "type": "text", "index": "analyzed" }, "layoutDesc" : { "type": "text", "index": "analyzed" }, "traffic": { "type": "text", "index": "analyzed" }, "roundService": { "type": "text", "index": "analyzed" }, "rentWay": { "type": "integer" }, "suggest": { "type": "completion" }, "location": { "type": "geo_point" } } } } }

TODO