我在ES 2.5中有以下自定义类:
Title
DataSources
Content
运行搜索很好,除了中间字段 - 使用“|”分隔符构建/索引。
ex:“| 4 | 7 | 8 | 9 | 10 | 12 | 14 | 19 | 20 | 21 | 22 | 23 | 29 | 30”
我需要构建一个与所有字段中的某些字段匹配的查询,并在DataSource字段中匹配至少一个数字。
总结一下我目前的情况:
QueryBase query = new SimpleQueryStringQuery
{
//DefaultOperator = !operatorOR ? Operator.And : Operator.Or,
Fields = LearnAboutFields.FULLTEXT,
Analyzer = "standard",
Query = searchWords.ToLower()
};
_boolQuery.Must = new QueryContainer[] {query};
这是搜索词查询。
foreach (var datasource in dataSources)
{
// Add DataSources with an OR
queryContainer |= new WildcardQuery { Field = LearnAboutFields.DATASOURCE, Value = string.Format("*{0}*", datasource) };
}
// Add this Boolean Clause to our outer clause with an AND
_boolQuery.Filter = new QueryContainer[] {queryContainer};
}
这是数据源查询。可以有多个数据源。
它不起作用,并在添加了过滤器查询的情况下返回结果。我想我需要在标记器/分析器上做一些工作,但我不太了解ES可以解决这个问题。
编辑:Per Val的评论如下我试图像这样重新编码索引器:
_elasticClientWrapper.CreateIndex(_DataSource, i => i
.Mappings(ms => ms
.Map<LearnAboutContent>(m => m
.Properties(p => p
.String(s => s.Name(lac => lac.DataSources)
.Analyzer("classic_tokenizer")
.SearchAnalyzer("standard")))))
.Settings(s => s
.Analysis(an => an.Analyzers(a => a.Custom("classic_tokenizer", ca => ca.Tokenizer("classic"))))));
var indexResponse = _elasticClientWrapper.IndexMany(contentList);
使用数据成功构建。但是查询仍然无法正常工作。
DataSources的新查询:
foreach (var datasource in dataSources)
{
// Add DataSources with an OR
queryContainer |= new TermQuery {Field = LearnAboutFields.DATASOURCE, Value = datasource};
}
// Add this Boolean Clause to our outer clause with an AND
_boolQuery.Must = new QueryContainer[] {queryContainer};
JSON:
{"learnabout_index":{"aliases":{},"mappings":{"learnaboutcontent":{"properties":{"articleID":{"type":"string"},"content":{"type":"string"},"dataSources":{"type":"string","analyzer":"classic_tokenizer","search_analyzer":"standard"},"description":{"type":"string"},"fileName":{"type":"string"},"keywords":{"type":"string"},"linkURL":{"type":"string"},"title":{"type":"string"}}}},"settings":{"index":{"creation_date":"1483992041623","analysis":{"analyzer":{"classic_tokenizer":{"type":"custom","tokenizer":"classic"}}},"number_of_shards":"5","number_of_replicas":"1","uuid":"iZakEjBlRiGfNvaFn-yG-w","version":{"created":"2040099"}}},"warmers":{}}}
Query JSON请求:
{
"size": 10000,
"query": {
"bool": {
"must": [
{
"simple_query_string": {
"fields": [
"_all"
],
"query": "\"housing\"",
"analyzer": "standard"
}
}
],
"filter": [
{
"terms": {
"DataSources": [
"1"
]
}
}
]
}
}
}
答案 0 :(得分:3)
实现此目的的一种方法是创建一个classic tokenizer的自定义分析器,它会将DataSources
字段分解为组成它的数字,即它会标记每个|
上的字段字符。
因此,在创建索引时,您需要添加此自定义分析器,然后在DataSources
字段中使用它:
PUT my_index
{
"settings": {
"analysis": {
"analyzer": {
"number_analyzer": {
"type": "custom",
"tokenizer": "number_tokenizer"
}
},
"tokenizer": {
"number_tokenizer": {
"type": "classic"
}
}
}
},
"mappings": {
"my_type": {
"properties": {
"DataSources": {
"type": "string",
"analyzer": "number_analyzer",
"search_analyzer": "standard"
}
}
}
}
}
因此,如果您对字符串"|4|7|8|9|10|12|14|19|20|21|22|23|29|30"
编制索引,则DataSources
字段将有效地包含以下令牌数组:[4, 7, 8, 9, 10, 12, 14, 191, 20, 21, 22, 23, 29, 30]
然后你可以摆脱WildcardQuery
而只需使用TermsQuery
代替:
terms = new TermsQuery {Field = LearnAboutFields.DATASOURCE, Terms = dataSources }
// Add this Boolean Clause to our outer clause with an AND
_boolQuery.Filter = new QueryContainer[] { terms };
答案 1 :(得分:1)
初看一下您的代码我认为您可能遇到的一个问题是,不会分析过滤器子句中的任何查询。因此,基本上该值不会被分解为令牌,并将进行整体比较。
很容易忘记这一点,因此需要分析的任何值都需要放在must或should子句中。