用willcard和转义字符进行弹性搜索查询

时间:2019-02-03 11:57:55

标签: elasticsearch filter query-string ipv4

我们在freebsd 11上使用elasticsearch。 表中有很多数据ipv4,ipv6格式。

客户希望使用通配符进行搜索。 例如

*192* -> no problem
*192.168.* -> no problem
*2001:db8* -> take error
*2001\:db8 -> take error....

我没有从Elastic中获取正确的数据。尤其是“:”是个大问题。

我的系统信息和查询结果是

此弹性信息

{
  "name": "WxaxEg6",
  "cluster_name": "elasticsearch",
  "cluster_uuid": "o-7IPcD3RjODelTyPYUBJw",
  "version": {
    "number": "5.6.8",
    "build_hash": "688ecce",
    "build_date": "2018-02-16T16:46:30.010Z",
    "build_snapshot": false,
    "lucene_version": "6.6.1"
  },
  "tagline": "You Know, for Search"
}

我的测试表是

{
  "ip_test2": {
    "aliases": {},
    "mappings": {
      "doc": {
        "properties": {
          "ip_addr": {
            "type": "text"
          }
        }
      }
    },
    "settings": {
      "index": {
        "creation_date": "1549119687946",
        "number_of_shards": "5",
        "number_of_replicas": "1",
        "uuid": "Aljv_81nQDKx3B3Fs2nVOA",
        "version": {
          "created": "5060899"
        },
        "provided_name": "ip_test2"
      }
    }
  }
}

查询1:

{
    "query": {
        "query_string" : {
            "fields" : ["ip_addr"],
            "query": "*192.*",
            "analyze_wildcard": true
       }
    }
}'

结果是

{"took":3,"timed_out":false,"_shards": 
{"total":5,"successful":5,"skipped":0,"failed":0},"hits": 
{"total":255,"max_score":1.0,"hits": 
 ...:{"ip_addr": "192.168.1.4"}},

没问题。

查询2

 "query": "*2001*",

结果是

{"took":5,"timed_out":false,"_shards": 
{"total":5,"successful":5,"skipped":0,"failed":0},"hits": 
{"total":100,"max_score":1.0,"hits": 
...:{"ip_addr": "2001:db8:100:0:2359:8a17:17c6:e316"}},

没问题。 现在问题开始了。 查询

"query": "*2001:*",

结果

"error":{"root_cause": 
[{"type":"query_shard_exception","reason":"Failed to parse query 
[*2001:*]","index_uuid":"Aljv_81nQDKx3B3Fs2nVOA","index":"ip_test2"}]

查询

"query": "\"*2001:db*\"",

结果为错误,从2001:db8开始有很多数据

"took":1,"timed_out":false,"_shards": 
{"total":5,"successful":5,"skipped":0,"failed":0},"hits": 
{"total":0,"max_score":null,"hits":[]}}

查询是

"query": "\"*2001:db8*\"",

结果是正确,太神奇了。...WHYYYY

{"took":2,"timed_out":false,"_shards": 
{"total":5,"successful":5,"skipped":0,"failed":0},"hits": 
{"total":100,"max_score":1.8449252,

字段类型不是ip,我不明白不同的结果。

有人可以向我解释

我的最后一个解决方案是

{"from":0,"size":100,"sort":[{"start_time": 
{"order":"desc","unmapped_type":"boolean"}}],
"query":{"bool":{"must":[{"range":{"start_time": 
{"gte":1546678703407,"lte":1549270703407,"format":"epoch_millis"}}},
            {"bool":{"should":[{"multi_match": 
{"query":"2001:db","fields":["ip_dst_saddr"],"type":"phrase_prefix"}},
                       {"query_string":{"query":"*2001\\:db*","fields": 
["ip_dst_saddr"],"analyze_wildcard":true}}]}}]}}}

1 个答案:

答案 0 :(得分:0)

用于查询

"query": "*2001:*"您需要转义冒号(有关更多示例,请参见here),因此请尝试使用"query": "*2001\\:*"

然后对于其他查询,您不能在短语匹配内使用通配符(有关更多详细信息,请参见here

如果您在查询中使用validate API:

POST <your_index>/_validate/query?explain=true
{
    "query": {
        "query_string" : {
            "fields" : ["ip_addr"],
            "query": "\"*2001:db*\"",
            "analyze_wildcard": true
       }
    }
}

您将看到对该查询的解释为

"explanations": [
    {
      "index": "<your_index>",
      "valid": true,
      "explanation": """ip_addr:"2001 db""""
    }
  ]

"query": "\"*2001:db8*\""

"explanations": [
    {
      "index": "test_so",
      "valid": true,
      "explanation": """ip_addr:"2001 db8""""
    }
  ]

因此,查询"query": "\"*2001:db*\""仅匹配具有相同顺序的令牌“ 2001”和“ db”的文档(完整的令牌“ db”,而不是“ db8”或其他任何东西) 并且查询"query": "\"*2001:db8*\""将以相同顺序匹配任何包含“ 2001”和“ db8”的文档。

您应该真正使用elasticsearch的IP数据类型。