使用Elasticsearch的文本类型字段。

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英文:

Use elasticsearch text type filed

问题

以下是翻译好的内容，只包括代码部分：

数据详情：

  1. {
  2.   "took": 0,
  3.   "timed_out": false,
  4.   "_shards": {
  5.     "total": 1,
  6.     "successful": 1,
  7.     "skipped": 0,
  8.     "failed": 0
  9.   },
  10.   "hits": {
  11.     "total": {
  12.       "value": 1,
  13.       "relation": "eq"
  14.     },
  15.     "max_score": 3.7750573,
  16.     "hits": [
  17.       {
  18.         "_index": "myindex",
  19.         "_id": "1650421750907600896",
  20.         "_score": 3.7750573,
  21.         "_source": {
  22.           "areaCodeList": "350112201201,0,350112201202"
  23.         }
  24.       }
  25.     ]
  26.   }
  27. }

areaCodeList 是一个使用 ik 分词器的文本字段：

  1. POST /myindex/_analyze
  2. {
  3.   "field": "areaCodeList",
  4.   "text": "350112201201,0,350112201202"
  5. }
  1. {
  2.   "tokens": [
  3.     {
  4.       "token": "350112201201,0,350112201202",
  5.       "start_offset": 0,
  6.       "end_offset": 27,
  7.       "type": "ARABIC",
  8.       "position": 0
  9.     },
  10.     {
  11.       "token": "350112201201",
  12.       "start_offset": 0,
  13.       "end_offset": 12,
  14.       "type": "LETTER",
  15.       "position": 1
  16.     },
  17.     {
  18.       "token": "0",
  19.       "start_offset": 13,
  20.       "end_offset": 14,
  21.       "type": "LETTER",
  22.       "position": 2
  23.     },
  24.     {
  25.       "token": "350112201202",
  26.       "start_offset": 15,
  27.       "end_offset": 27,
  28.       "type": "LETTER",
  29.       "position": 3
  30.     }
  31.   ]
  32. }

最后，我使用以下查询语句，但结果为空：

  1. GET myindex/_search
  2. {
  3.   "query": {
  4.     "match": {
  5.       "areaCodeList": "350112201201"
  6.     }
  7.   },
  8.   "_source": ["areaCodeList"]
  9. }

如何匹配逗号分隔的数据？

英文:

Data detail:

  1. {
  2.   "took": 0,
  3.   "timed_out": false,
  4.   "_shards": {
  5.     "total": 1,
  6.     "successful": 1,
  7.     "skipped": 0,
  8.     "failed": 0
  9.   },
  10.   "hits": {
  11.     "total": {
  12.       "value": 1,
  13.       "relation": "eq"
  14.     },
  15.     "max_score": 3.7750573,
  16.     "hits": [
  17.       {
  18.         "_index": "myindex",
  19.         "_id": "1650421750907600896",
  20.         "_score": 3.7750573,
  21.         "_source": {
  22.           "areaCodeList": "350112201201,0,350112201202"
  23.         }
  24.       }
  25.     ]
  26.   }
  27. }

areaCodeList is a text field that uses the ik tokenizer：

  1. POST /myindex/_analyze
  2. {
  3.   "field": "areaCodeList",
  4.   "text": "350112201201,0,350112201202"
  5. }
  1. {
  2.   "tokens": [
  3.     {
  4.       "token": "350112201201,0,350112201202",
  5.       "start_offset": 0,
  6.       "end_offset": 27,
  7.       "type": "ARABIC",
  8.       "position": 0
  9.     },
  10.     {
  11.       "token": "350112201201",
  12.       "start_offset": 0,
  13.       "end_offset": 12,
  14.       "type": "LETTER",
  15.       "position": 1
  16.     },
  17.     {
  18.       "token": "0",
  19.       "start_offset": 13,
  20.       "end_offset": 14,
  21.       "type": "LETTER",
  22.       "position": 2
  23.     },
  24.     {
  25.       "token": "350112201202",
  26.       "start_offset": 15,
  27.       "end_offset": 27,
  28.       "type": "LETTER",
  29.       "position": 3
  30.     }
  31.   ]
  32. }

Finally, i use the following query statement, but the result is empty:

  1. GET myindex/_search
  2. {
  3.   "query": {
  4.     "match": {
  5.       "areaCodeList": "350112201201"
  6.     }
  7.   },
  8.   "_source": ["areaCodeList"]
  9. }

How to match comma-separated data?

答案1

得分: 0

你可以使用模式分析器。它通过所有非单词字符对文本进行标记化。

模式分析器使用正则表达式将文本分割成词项。正则表达式应该匹配标记分隔符而不是词项本身。正则表达式的默认值为\W+（或所有非单词字符）。
https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-pattern-analyzer.html

POST _analyze
{
"tokenizer": "pattern",
"text": "350112201201,0,350112201202"
}

PUT test_code_list
{
"mappings": {
"properties": {
"areaCodeList": {
"type": "text",
"analyzer": "pattern"
}
}
}
}

PUT test_code_list/_doc/1
{
"areaCodeList": "350112201201,0,350112201202"
}

GET test_code_list/_search
{
"query": {
"match": {
"areaCodeList": "350112201201"
}
}
}

英文:

You can use the pattern analyzer. It tokenizes the text by all non-word characters.

> The pattern analyzer uses a regular expression to split the text into
> terms. The regular expression should match the token separators not
> the tokens themselves. The regular expression defaults to \W+ (or all
> non-word characters).
https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-pattern-analyzer.html

  1. POST _analyze
  2. {
  3.   "tokenizer": "pattern",
  4.     "text": "350112201201,0,350112201202"
  5. }
  7. PUT test_code_list
  8. {
  9.   "mappings": {
  10.     "properties": {
  11.       "areaCodeList": {
  12.         "type": "text",
  13.         "analyzer": "pattern"
  14.       }
  15.     }
  16.   }
  17. }
  18. PUT test_code_list/_doc/1
  19. {
  20.   "areaCodeList": "350112201201,0,350112201202"
  21. }
  23. GET test_code_list/_search
  24. {
  25.   "query": {
  26.     "match": {
  27.       "areaCodeList": "350112201201"
  28.     }
  29.   }
  30. }

使用Elasticsearch的文本类型字段。

使用Elasticsearch的文本类型字段。

huangapple
  • 本文由 发表于 2023年7月10日 15:21:09
  • 转载请务必保留本文链接：https://go.coder-hub.com/76651507.html
  • elasticsearch
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