做一个汽车零售数据的mapping,我们要做的第一份数据,其实汽车信息
PUT /car_shop
{
"settings": {
"number_of_shards": 3,
"number_of_replicas": 0
},
"mappings": {
"cars": {
"properties": {
"brand": {
"type": "text",
"analyzer": "ik_max_word",
"fields": {
"raw": {
"type": "keyword"
}
}
},
"name": {
"type": "text",
"analyzer": "ik_max_word",
"fields": {
"raw": {
"type": "keyword"
}
}
}
}
}
}
}
首先的话呢,第一次调整宝马320这个汽车的售价,我们希望将售价设置为32万,用一个upsert语法,如果这个汽车的信息之前不存在,那么就insert,如果存在,那么就update
Settings settings = Settings.builder()
.put("cluster.name", "my-application")
.put("client.transport.sniff", true)
.build();
TransportClient client = new PreBuiltTransportClient(settings).addTransportAddress(new TransportAddress(InetAddress.getByName("192.168.80.188"), 9300));
IndexRequest indexRequest = new IndexRequest("car_shop", "cars", "1")
.source(jsonBuilder()
.startObject()
.field("brand", "宝马")
.field("name", "宝马320")
.field("price", 320000)
.field("produce_date", "2017-01-01")
.endObject());
UpdateRequest updateRequest = new UpdateRequest("car_shop", "cars", "1")
.doc(jsonBuilder()
.startObject()
.field("price", 320000)
.endObject())
.upsert(indexRequest);
client.update(updateRequest).get();
IndexRequest indexRequest = new IndexRequest("car_shop", "cars", "1")
.source(jsonBuilder()
.startObject()
.field("brand", "宝马")
.field("name", "宝马320")
.field("price", 310000)
.field("produce_date", "2017-01-01")
.endObject());
UpdateRequest updateRequest = new UpdateRequest("car_shop", "cars", "1")
.doc(jsonBuilder()
.startObject()
.field("price", 310000)
.endObject())
.upsert(indexRequest);
client.update(updateRequest).get();