在服务器部署Wordpress
用Docker部署Pantheon
Wordpress数据库
PHP/HTML/JS联动
1 Install with Docker-Compose
1 安装docker，
2 在项目根目录下建立 docker-compose.yml 文件
其中参数
-ES_JAVA_OPTS 用于限制内存大小，
-bootstrap.memory_lock 是否允许节点内存交换，锁住内存地址可以防止硬盘频繁读取，
-xpack.security.enabled 用于保护数据，有多个不同权限账户，账户需设置密码，未设置时是默认密码，
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services:
myelastic:
image: elasticsearch:8.3.2
container_name: myelastic
environment:
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- "discovery.type=single-node"
- "network.host=0.0.0.0"
- "xpack.security.enabled=false"
ports:
- "9200:9200"
- "9300:9300"
3 运行ES：在终端中运行 docker-compose up --build --force-recreate
--build 重制 image，
--force-recreate 重做 container
保证更改被应用，同时每次开启后的ES都是新的空的（如果要保留每次运行的数据，则不要 –force-recreate）
4 成功启动后，可以访问/curl http://localhost:9200/ 会得到json
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{
"name" : "831d47aa0e5f",
"cluster_name" : "docker-cluster",
"cluster_uuid" : "NUSoyfauSseaNyz0iFD-NQ",
"version" : {
"number" : "8.3.2",
"build_type" : "docker",
"build_hash" : "8b0b1f23fbebecc3c88e4464319dea8989f374fd",
"build_date" : "2022-07-06T15:15:15.901688194Z",
"build_snapshot" : false,
"lucene_version" : "9.2.0",
"minimum_wire_compatibility_version" : "7.17.0",
"minimum_index_compatibility_version" : "7.0.0"
},
"tagline" : "You Know, for Search"
}
5 可能的问题：
virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144] 解决方法
2 Query with Java
这里先跳过往Elasticsearch里放入数据的indexing部分，
假设现在有一个叫做lookup的索引(index)，其有label,synonyms,acronyms,broaders四个fields
1 终端 curl 格式
搜索和”Natural History”有关的数据
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curl -X POST http://localhost:9200/lookup/_search
-H "Content-Type: application/json"
-d {"query": {
"query_string": {
"query": "Natural History"
}},
"size": 100,
"from": 0,
"sort": []
}
-d 的json部分可以替换为其他各种类型的search格式，它和java中的相同，以下列举一些常用格式以及部分参数。
- match query
特点：对单个filed搜索。
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{"query": {
"match": {
"label": { # fieldname
"query": "Natural History", # keyword
"fuzziness": "AUTO" # fuzziness 0/1/2/AUTO
}}}}
- multi_match query
特点：对多个fileds搜索。
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{"query": {
"multi_match" : {
"query" : "this is a test",
"fields" : ["subject^3", "message" ], # fieldname list, 可设置不同的权重 ^2 ^3 ^4 ...
"fuzziness": "AUTO"
}}}
- query_string query
特点：可以使用Query String Syntax语法， 如 “(new york city) OR (big apple)”。若无需求，请使用match或者multi-match
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{"query": {
"query_string": {
# 模糊搜索时,需要在String后加上"~" 如： quikc~ brwn~ foks~
"query": "(new york city) OR (big apple)",
"fields": ["label^2", "synonyms", "acronyms", "broaders"]
}}}
2 Java中使用时的负载格式
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// 为使json格式易于观察，使用"+"使String分行
String query_multimatch
= "{\"query\": {" +
"\"multi_match\": {" +
"\"query\": \""+ searchText +"\"," +
"\"fields\": [\"label^2\", \"synonyms\", \"acronyms\", \"broaders\"]," +
"\"fuzziness\": \"AUTO\"" +
"}}," +
"\"size\": 10," +
"\"from\": 0," +
"\"sort\": []}";
3 使用Java curl
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//esUrl = esHost + indexname + _search
String esUrl = "http://localhost:9200/lookup/_search";
String searchText = "Quantum";
// establish connection
URL obj = new URL(esUrl);
HttpURLConnection con = (HttpURLConnection) obj.openConnection();
// set connection
con.setRequestMethod("POST");
con.setDoOutput(true);
con.setRequestProperty("Content-Type", "application/json");
// set query string
String query_multimatch
= "{\"query\": {" +
"\"multi_match\": {" +
"\"query\": \""+ searchText +"\"," +
"\"fields\": [\"label^2\", \"synonyms\", \"acronyms\", \"broaders\"]," +
"\"fuzziness\": \"AUTO\"" +
"}}," +
"\"size\": 10," +
"\"from\": 0," +
"\"sort\": []}";
// query and get response
byte[] out = query_multimatch.getBytes(StandardCharsets.UTF_8);
OutputStream stream = con.getOutputStream();
stream.write(out);
BufferedReader iny = new BufferedReader(new InputStreamReader(con.getInputStream()));
String output;
StringBuffer response = new StringBuffer();
while ((output = iny.readLine()) != null) {response.append(output);}
iny.close();
con.disconnect();
// get JSON
JSONObject responseJason = new JSONObject(response.toString());
JSONArray results = responseJason.getJSONObject("hits").getJSONArray("hits");