MySQL查询到ElasticSearch
我正在尝试将MYSQL查询转换为Elasticsearch。该查询包括在不同字段上的多个条件。让我解释一下我要达到的目标。我的MySQL查询是
Select * from data_fl where city IN 'miami,miamibeach,etc' AND phone!=0 AND (name like '%abc%' OR address like '%abc%' OR zip_code like '%abc%' OR phone Like '%abc')如何在Elasticsearch中复制此查询。我的尝试是
$params = [ 'index'=>'us_data_'.strtolower($state_code),
'body' => [
'query' => [
'bool'=>[
'filter'=>[
'term'=>['city_code'=>$city_name]
],
'should' => [
'query_string'=>[
'query'=>"*".$service."*",
'fields'=>['name','contact_no','zip_code','city_code'],
]
]
]
]
]
];
但这不会返回任何内容。我正在使用Elasticsearch 7.6并尝试在Kibana上使用curl复制此查询，但答案仍然相同。
期待帮助
根据要求，索引的映射是
{"mapping": {
"_doc": {
"properties": {
"@timestamp": {
"type": "date"
},
"@version": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"address": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"city_code": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"contact_no": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"date_added": {
"type": "date"
},
"date_updated": {
"type": "date"
},
"featured": {
"type": "long"
},
"id": {
"type": "long"
},
"location_id": {
"type": "long"
},
"main_cate": {
"type": "long"
},
"name": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"slug": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"source": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"state_code": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"status": {
"type": "long"
},
"zip_code": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
}
}
}
我接受的文件是
"hits" : {"total" : {
"value" : 10000,
"relation" : "gte"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "us_data_al",
"_type" : "_doc",
"_id" : "8kmR1HABkLcaz3xayZOg",
"_score" : 1.0,
"_source" : {
"promotion" : null,
"image" : null,
"name" : "Port City Realty",
"city_code" : "Mobile",
"services" : null,
"promotion_exp_date" : null,
"tuesdayopen" : null,
"tuesdayclose" : null,
"wednesdayopen" : null,
"thursdayclose" : null,
"@timestamp" : "2020-03-13T15:44:45.330Z",
"date_updated" : "2020-03-06T00:00:00.000Z",
"mondayopen" : null,
"contact_no" : "2516891228",
"id" : 1941,
"fridayclose" : null,
"featured" : 0,
"main_cate" : 1,
"wednesdayclose" : null,
"sundayopen" : null,
"state_code" : "AL",
"video" : null,
"address" : "4826 Whispering Oaks Lane",
"user_id" : null,
"slug" : "2516891228-port-city-realty-mobile-al-36695",
"timezone" : null,
"source" : "USA Business",
"description" : null,
"fridayopen" : null,
"price" : null,
"saturdayopen" : null,
"saturdayclose" : null,
"date_added" : "2020-03-05T19:00:00.000Z",
"thursdayopen" : null,
"@version" : "1",
"status" : 1,
"mondayclose" : null,
"zip_code" : "36695",
"private_contact" : null,
"location_id" : 0,
"sundayclose" : null
}
}
回答：
您正在使事情变得复杂，并试图在Elasticsearch中适应MySQL概念。在这种情况下，您需要正确定义索引映射（根据搜索要求来字段数据类型及其分析器），并相应地构建查询。
我已经获取了您的示例，并且没有更改索引映射和示例文档，但是更改了搜索查询以显示如何处理现有数据和需求（可能无法在所有情况下都有效，但是您有所了解）搜索。
回答：
{ "query": {
"multi_match": { --> note and read about multi_match query
"query": "36695",
"fields": [
"address",
"city_code", --> add more fields if you need to be
"zip_code",
"contact_no"
]
}
}
}
"hits": [ {
"_index": "so_mysql_dsl",
"_type": "_doc",
"_id": "1",
"_score": 0.2876821,
"_source": {
"promotion": null,
"image": null,
"name": "Port City Realty",
"city_code": "Mobile",
"services": null,
"promotion_exp_date": null,
"tuesdayopen": null,
"tuesdayclose": null,
"wednesdayopen": null,
"thursdayclose": null,
"@timestamp": "2020-03-13T15:44:45.330Z",
"date_updated": "2020-03-06T00:00:00.000Z",
"mondayopen": null,
"contact_no": "2516891228",
"id": 1941,
"fridayclose": null,
"featured": 0,
"main_cate": 1,
"wednesdayclose": null,
"sundayopen": null,
"state_code": "AL",
"video": null,
"address": "4826 Whispering Oaks Lane",
"user_id": null,
"slug": "2516891228-port-city-realty-mobile-al-36695",
"timezone": null,
"source": "USA Business",
"description": null,
"fridayopen": null,
"price": null,
"saturdayopen": null,
"saturdayclose": null,
"date_added": "2020-03-05T19:00:00.000Z",
"thursdayopen": null,
"@version": "1",
"status": 1,
"mondayclose": null,
"zip_code": "36695",
"private_contact": null,
"location_id": 0,
"sundayclose": null
}
}
]
以上是 MySQL查询到ElasticSearch 的全部内容， 来源链接： utcz.com/qa/413775.html
