java - 使用正则表达式进行Elasticsearch Java API搜索

Question

我想借助“regexpQuery”从本地Elasticsearch服务器获取一些数据，为此，我做了以下方法:

public void getProductsStartingWithString() throws ParseException {

    Client client = getClient();

    SearchResponse response = null;

    BoolQueryBuilder boolQuery = QueryBuilders.boolQuery()
            .must(QueryBuilders.regexpQuery("ProductCode", "FA.*"));

    if (response == null || response.getHits().hits().length != 0) {

        response = client.prepareSearch("warehouse-550")
                .setTypes("core2")
                .setQuery(boolQuery)
                .setSize(100)
                .execute()
                .actionGet();
    }

    response.getHits();

}

Elasticsearch中的文档如下所示:

{
  "_index": "warehouse-550",
  "_type": "core2",
  "_id": "AVOKD0Pq8h4KkDGZwBom",
  "_score": null,
  "_source": {
    "message": "3,550,162.06,FALK0011927540Y,2016-03-16;08:00:00.000\r",
    "@version": "1",
    "@timestamp": "2016-03-16T07:00:00.000Z",
    "path": "D:/Programs/Logstash/x_testingLocally/processed-stocklevels-550-42190516032016.csv",
    "host": "EVO385",
    "type": "core2",
    "Quantity": 3,
    "Warehouse": "550",
    "Price": 162.06,
    "ProductCode": "FALK0011927540Y",
    "Timestamp": "2016-03-16;08:00:00.000"
  },
  "fields": {
    "@timestamp": [
      1458111600000
    ]
  },
  "sort": [
    1458111600000
  ]
}

但是在回应时，我总是得到0次点击。

输出:curl -XGET "172.22.130.189:9200/warehouse-550/_mapping/core2?pretty":

{
  "warehouse-550" : {
    "mappings" : {
      "core2" : {
        "properties" : {
          "@timestamp" : {
            "type" : "date",
            "format" : "strict_date_optional_time||epoch_millis"
          },
          "@version" : {
            "type" : "string"
          },
          "Price" : {
            "type" : "double"
          },
          "ProductCode" : {
            "type" : "string"
          },
          "Quantity" : {
            "type" : "long"
          },
          "Timestamp" : {
            "type" : "string"
          },
          "Warehouse" : {
            "type" : "string"
          },
          "host" : {
            "type" : "string"
          },
          "message" : {
            "type" : "string"
          },
          "path" : {
            "type" : "string"
          },
          "type" : {
            "type" : "string"
          }
        }
      }
    }
  }
}

我做错了什么？

Answer 1

ProductCode的默认分析器是standard analyzer

如果我们要将标准分析器重新实现为自定义分析器，则其定义如下:

{
    "type":      "custom",
    "tokenizer": "standard",
    "filter":  [ "lowercase", "stop" ]
}

如果您注意到"lowercase"过滤器，它将文本转换为小写。

FALK0011927540Y gets converted to falk0011927540y

因此，当您搜索"FA.*"时，没有匹配项。

解决方案:

通过在客户端使用小写字母进行搜索。例如。 "fa.*"

将您的ProductCode映射为not_analyzed。它将按原样存储。