Elasticsearch IK Configuring dynamic synonyms

Use Environment elasticsearch5.1.1 kibana5.1.1 Synonyms plugin 5.1.1 Installing plugins download the corresponding elasticsearch-analysis-dynamic-synonym-5.1.1.zip, unzip to the local elasticsearch/plugins directory, restart ES first way local file Description: for local files: mainly through the file modification timestamp (Modify time) to determine whether to reload in the Elasticsearch/config directory, set up the analysis directory, and put Synonym.txt in the profile, add the following line of synonyms to the first line of the file to testtomato, tomato, virgin

ES set index and custom parser

Put/megacorp
{"mappings": {"employee": {"Properties": {"
        name": {
          "type": "Text",
          " Analyzer ":" Ik-index ",  //parser used to specify index
          " Search_analyzer ":" Ik-smart "//parser to specify search time}
      }
  }
  ,
  "settings": {"Analysis": {"filter": {"local_synonym": {"
            type": "Dynamic _synonym ",
            " Synonyms_path ":" Analysis/synonym.txt "  
        }
      ,
      " Analyzer ": {
        " Ik-index ": {
          "Type": "Custom",
          "Tokenizer": "Ik_max_word",
          "filter": [
              "local_synonym"   //filter synonyms
           ]
        },
        "Ik-smart": {
          "type": "Custom",
          "Tokenizer": "Ik_smart",
          "filter": [
              "Local_ Synonym "]}}}}

once set up, you can use the following command to see if the synonym is configured successfully

Get/megacorp/_analyze
{
  "Analyzer": "Ik-index",
  "text": "Tomato"
}

The correct segmentation results are as follows:

{"
  tokens": [
    {
      "token": "Tomato",
      "Start_offset": 0,
      "End_offset": 3,
      "type": "Cn_word",
      "Position": 0
    },
    {
      "token": "Tomato",
      "Start_offset": 0,
      "End_offset": 3,
      "type": "Synonym" ,
      "position": 0
    },
    {
      "token": "Saint",
      "Start_offset": 0,
      "End_offset": 3,
      "type": "Synonym",
      "position": 0
    }
  ]
}

Insert 2 data:

PUT/MEGACORP/EMPLOYEE/1
{
    "name": "Cherry Fruit"
}

put/megacorp/employee/2
{
    "name": "Tomato"
}

search for tomatoes and you will find the records of tomatoes and cherry berries:

Get/megacorp/employee/_search
{"
    query": {"
      match": {
        "name": "Tomato"
}}}

The second way of remote interface Description: This HTTP request needs to return two headers, one is last-modified, the other is an ETag, and as long as there is a change, the plugin will fetch new synonyms to update the corresponding synonyms. write an interface locally

the interface returned requires the following three properties to be set

$response->setlastmodified ($lastModified);
$response->setetag ($etag, true);
$response->headers->set (' Content-type ', ' text/plain ');

Note: Nginx After opening gzip, if there is an ETAG will call Ngx_http_clear_etag to clear it, the solution is simple: as long as PHP returns the ETag is weak etag, then everything will be normal. And the so-called weak etag, which is the weak etag, is relative to the normal etag, the manifestation is the etag in front plus w/

w/"Db8b38e8a3257a2f195b727eceb2c5d3"

here is the configuration for setting up remote, local synonyms

Put/megacorp

{"Settings": {"index": {"Number_of_shards": "5", "Number_of_replicas": "1", "Analysis": { "Filter": {"remote_synonym": {"type": "Dynamic_synonym", "Synonyms_path": "Http://1 92.168.78.37:10001/synonym.txt "," Interval ": ten}," Edgengramfilter ": {" type "
          : "Edge_ngram", "Min_gram": 1, "Max_gram": [+]}, "Analyzer": {
              "Ngramindex": {"type": "Custom", "Tokenizer": "Keyword", "filter": [ "Edgengramfilter", "lowercase"]}, "Ngramlowercase": {"filter
          ": [" lowercase "]," type ":" Custom "," Tokenizer ":" Ngramtokenizer " }, "Ikindex": {"filter": ["remote_synonym"], "type": "Custom", "tOkenizer ":" Ik_max_word "}," Iksearch ": {" type ":" Custom "," Tokenizer ":" ik_s Mart "}," Keywordlowercase ": {" type ":" Custom "," Filter ": [" Lo Wercase "]," tokenizer ":" Keyword "}}," Tokenizer ": {" Ngramt
      Okenizer ": {" type ":" NGram "," Min_gram ":" 1 "," Max_gram ":" 3 "}}
          }}}, "mappings": {"type1": {"Properties": {"title": {"type": "Text",
              "Fields": {"ik": {"Analyzer": "Ikindex", "Search_analyzer": "Iksearch",
              "Type": "Text"}, "Keywordlowercase": {"Analyzer": "Keywordlowercase",
              "Type": "Text"}, "Ngram": {"Analyzer": "Ngramlowercase",
        ' Type ': ' Text '    }
          }
        }
      }
    }
  }
} 

{"Mappings": {"employee": {"Properties": {"name": {"type": "Text", "Analyzer": "Ik-index",//parser to specify index Search_analy Zer ":" Ik-smart "//Specify Parser}}}," Settings ": {" Analysis ": {" filter ": {" remote_synonym ": {" type ":" Dynamic_syn Onym "," Synonyms_path ":" Http://localhost/synonym/list "," Interval ": 60//No 60s tuning Interface}," local_synonym ": {" type ":" Dy Namic_synonym "," Synonyms_path ":" Analysis/synonym.txt "}," Analyzer ": {" Ik-index ": {" type ":" Custom "," Tokenizer ":" Ik_max_word "," Filter ": [" remote_synonym ",//filtering the remote synonym" local_synonym "//filtering the local synonym]}," Ik-smart ": {" type ":" Custom "," Tokenizer ":" Ik_smart "," Filter ": [" local_synonym "]}}}