ElasticSearch 決定版ガイドで学習 その3

ElasticSearch導入のための学習とまとめ。

環境

• vagrant1.7.2
• centos6.5

Search with Query DSL

JSON request bodyを使って検索ができる。

curl -XGET http://192.168.33.19:9200/megacorp/employee/_search -d '
{
    "query" : {
        "match" : {
            "last_name" : "Smith"
        }
    }
}'

// 結果

{"took":7,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":2,"max_score":0.30685282,"hits":[{"_index":"megacorp","_type":"employee","_id":"1","_score":0.30685282,"_source":
{
    "first_name" : "John",
    "last_name" :  "Smith",
    "age" :        25,
    "about" :      "I love to go rock climbing",
    "interests": [ "sports", "music" ]
}
},{"_index":"megacorp","_type":"employee","_id":"2","_score":0.30685282,"_source":
{
    "first_name" :  "Jane",
    "last_name" :   "Smith",
    "age" :         32,
    "about" :       "I like to collect rock albums",
    "interests":  [ "music" ]
}
}]}}

More-Complicated Searches

もうちょい複雑な検索をしてみる。filterを利用する。

curl -XGET http://192.168.33.19:9200/megacorp/employee/_search -d '
{
    "query" : {
        "filtered" : {
            "filter" : {
                "range" : {
                    "age" : { "gt" : 30 } 
                }
            },
            "query" : {
                "match" : {
                    "last_name" : "smith" 
                }
            }
        }
    }
}'

// 結果
{"took":11,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":1,"max_score":0.30685282,"hits":[{"_index":"megacorp","_type":"employee","_id":"2","_score":0.30685282,"_source":
{
    "first_name" :  "Jane",
    "last_name" :   "Smith",
    "age" :         32,
    "about" :       "I like to collect rock albums",
    "interests":  [ "music" ]
}
}]}}

gtはgreater than。

Full-Text Search & Phrase Search

さらにもうちょい複雑な検索をしてみる。rock climbingが趣味のユーザーを取得する。

curl -XGET http://192.168.33.19:9200/megacorp/employee/_search -d '
{
    "query" : {
        "match_phrase" : {
            "about" : "rock climbing"
        }
    }
}'

// 結果

{"took":7,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":1,"max_score":0.23013961,"hits":[{"_index":"megacorp","_type":"employee","_id":"1","_score":0.23013961,"_source":
{
    "first_name" : "John",
    "last_name" :  "Smith",
    "age" :        25,
    "about" :      "I love to go rock climbing",
    "interests": [ "sports", "music" ]
}
}]}}

"rock" と "climbing" の両方を含んでいるデータを取得する場合は、match_phraseで検索する。matchだと"rock" と "climbing"のいづれか一つのフレーズがマッチしただけで結果を取得することになる。

Highlighting Our Searches

ハイライトさせたいときはhighlight parameterを加える。

curl -XGET http://192.168.33.19:9200/megacorp/employee/_search -d '
{
    "query" : {
        "match_phrase" : {
            "about" : "rock climbing"
        }
    },
    "highlight": {
        "fields" : {
            "about" : {}
        }
    }
}'

// 結果

{"took":51,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":1,"max_score":0.23013961,"hits":[{"_index":"megacorp","_type":"employee","_id":"1","_score":0.23013961,"_source":
{
    "first_name" : "John",
    "last_name" :  "Smith",
    "age" :        25,
    "about" :      "I love to go rock climbing",
    "interests": [ "sports", "music" ]
}
,"highlight":{"about":["I love to go rock climbing"]}}]}}

Analytics

集合を操れる。ここは割愛。上記までのやり方が理解できてれば、全然難しくない。
ここより先は、必要な時、もっと理解を深めたいときに読むと良いとのこと。

というわけで導入の決定版ガイドで学習は終了になります。次は既存のmysqlと連携して利用してみようと思います。
また具体的に学習する項目があれば、こんな感じでやっていこうと思います。

では、また。

この記事がお役にたちましたらシェアをお願いします

Tweet