【发布时间】:2018-10-19 21:21:14
【问题描述】:
我创建了 2 个自定义分析器,如下所示,但两者都没有按我的意愿工作。
这是我想要的倒排索引
例如;对于reb-tn2000xxxl这个词,我需要
reb, tn2000xxl, reb-tn2000xxxl 在我的倒排索引中。
{
"analysis":{
"filter":{
"my_word_delimiter":{
"split_on_numerics":"true",
"generate_word_parts":"true",
"preserve_original":"true",
"generate_number_parts":"true",
"catenate_all":"true",
"split_on_case_change":"true",
"type":"word_delimiter"
}
},
"analyzer":{
"my_analyzer":{
"filter":[
"standard",
"lowercase",
"my_word_delimiter"
],
"type":"custom",
"tokenizer":"whitespace"
},
"standard_caseinsensitive":{
"filter":[
"standard",
"lowercase"
],
"type":"custom",
"tokenizer":"keyword"
},
"my_delimiter":{
"filter":[
"lowercase",
"my_word_delimiter"
],
"type":"custom",
"tokenizer":"standard"
}
}
}
}
如果我使用实现whitespace 标记器的my_analyzer,如果我使用curl 检查,结果如下所示
curl -XGET "index/_analyze?analyzer=my_analyzer&pretty=true" -d "reb-tn2000xxxl"
{
"tokens" : [ {
"token" : "reb-tn2000xxxl",
"start_offset" : 0,
"end_offset" : 14,
"type" : "word",
"position" : 0
}, {
"token" : "reb",
"start_offset" : 0,
"end_offset" : 3,
"type" : "word",
"position" : 0
}, {
"token" : "rebtn2000xxxl",
"start_offset" : 0,
"end_offset" : 14,
"type" : "word",
"position" : 0
}, {
"token" : "tn",
"start_offset" : 4,
"end_offset" : 6,
"type" : "word",
"position" : 1
}, {
"token" : "2000",
"start_offset" : 6,
"end_offset" : 10,
"type" : "word",
"position" : 2
}, {
"token" : "xxxl",
"start_offset" : 10,
"end_offset" : 14,
"type" : "word",
"position" : 3
} ]
}
所以在这里我缺少tn2000xxxlsplit,如果我使用standard 标记器而不是whitespace,则可以得到它,但问题是一旦我使用my_delimiter 自定义分析器之类的标准。我在倒排索引中没有原始值。似乎standard tokinezer 和preserve_original 过滤器一起不起作用。我在某处读到,因为在应用过滤器之前标准标记器已经在原始上拆分,这就是为什么原始不再是相同的。但是我怎样才能完成这项任务以防止在像标准标记器一样分裂时进行原创?
curl -XGET "index/_analyze?analyzer=my_delimiter&pretty=true" -d "reb-tn2000xxxl"
{
"tokens":[
{
"token":"reb",
"start_offset":0,
"end_offset":3,
"type":"<ALPHANUM>",
"position":0
},
{
"token":"tn2000xxxl",
"start_offset":4,
"end_offset":14,
"type":"<ALPHANUM>",
"position":1
},
{
"token":"tn",
"start_offset":4,
"end_offset":6,
"type":"<ALPHANUM>",
"position":1
},
{
"token":"tn2000xxxl",
"start_offset":4,
"end_offset":14,
"type":"<ALPHANUM>",
"position":1
},
{
"token":"2000",
"start_offset":6,
"end_offset":10,
"type":"<ALPHANUM>",
"position":2
},
{
"token":"xxxl",
"start_offset":10,
"end_offset":14,
"type":"<ALPHANUM>",
"position":3
}
]
}
【问题讨论】:
标签: elasticsearch