[英]Querying elasticsearch with OR and wildcards
我試圖對我的elasticsearch _type做一個簡單的查詢,並用通配符匹配多個字段,我的第一次嘗試是這樣的:
POST my_index/my_type/_search
{
"sort" : { "date_field" : {"order" : "desc"}},
"query" : {
"filtered" : {
"filter" : {
"or" : [
{
"term" : { "field1" : "4848" }
},
{
"term" : { "field2" : "6867" }
}
]
}
}
}
}
當field1或field2分別分別等於4848和6867時,此示例將成功匹配每個記錄。
我想做的是在field1上匹配任何包含4848的文本和field6包含6867的文本,但是我不確定如何執行此操作。
我感謝我能得到的任何幫助:)
聽起來您的問題主要與分析有關 。 適當的解決方案取決於您的數據結構和要匹配的內容。 我將提供一些示例。
首先,假設您的數據足以使我們僅使用標准分析儀就可以得到想要的數據。 該分析器將標記空白,標點和符號上的文本字段。 因此,文本"1234-5678-90"
將分為術語"1234"
, "5678"
和"90"
,因此針對任何這些術語的"term"
查詢或過濾器都將與該文檔匹配。 更具體地說:
DELETE /test_index
PUT /test_index
{
"settings": {
"number_of_shards": 1
},
"mappings": {
"doc": {
"properties": {
"field1":{
"type": "string",
"analyzer": "standard"
},
"field2":{
"type": "string",
"analyzer": "standard"
}
}
}
}
}
POST /test_index/_bulk
{"index":{"_index":"test_index","_type":"doc","_id":1}}
{"field1": "1212-2323-4848","field2": "1234-5678-90"}
{"index":{"_index":"test_index","_type":"doc","_id":2}}
{"field1": "0000-0000-0000","field2": "0987-6543-21"}
{"index":{"_index":"test_index","_type":"doc","_id":3}}
{"field1": "1111-2222-3333","field2": "6867-4545-90"}
POST test_index/_search
{
"query": {
"filtered": {
"filter": {
"or": [
{
"term": { "field1": "4848" }
},
{
"term": { "field2": "6867" }
}
]
}
}
}
}
...
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1,
"hits": [
{
"_index": "test_index",
"_type": "doc",
"_id": "1",
"_score": 1,
"_source": {
"field1": "1212-2323-4848",
"field2": "1234-5678-90"
}
},
{
"_index": "test_index",
"_type": "doc",
"_id": "3",
"_score": 1,
"_source": {
"field1": "1111-2222-3333",
"field2": "6867-4545-90"
}
}
]
}
}
(明確地寫"analyzer": "standard"
是多余的,因為如果您不指定它,則它是默認的分析器;我只是想讓它變得顯而易見。)
另一方面,如果以某種方式嵌入文本,以至於標准分析無法提供您想要的內容,請說"121223234848"
而您想匹配"4848"
,則您將不得不做更多的事情復雜,使用ngrams 。 這是一個示例(請注意數據中的差異):
DELETE /test_index
PUT /test_index
{
"settings": {
"analysis": {
"filter": {
"nGram_filter": {
"type": "nGram",
"min_gram": 2,
"max_gram": 20,
"token_chars": [
"letter",
"digit",
"punctuation",
"symbol"
]
}
},
"analyzer": {
"nGram_analyzer": {
"type": "custom",
"tokenizer": "whitespace",
"filter": [
"lowercase",
"asciifolding",
"nGram_filter"
]
},
"whitespace_analyzer": {
"type": "custom",
"tokenizer": "whitespace",
"filter": [
"lowercase",
"asciifolding"
]
}
}
}
},
"mappings": {
"doc": {
"properties": {
"field1":{
"type": "string",
"index_analyzer": "nGram_analyzer",
"search_analyzer": "whitespace_analyzer"
},
"field2":{
"type": "string",
"index_analyzer": "nGram_analyzer",
"search_analyzer": "whitespace_analyzer"
}
}
}
}
}
POST /test_index/_bulk
{"index":{"_index":"test_index","_type":"doc","_id":1}}
{"field1": "121223234848","field2": "1234567890"}
{"index":{"_index":"test_index","_type":"doc","_id":2}}
{"field1": "000000000000","field2": "0987654321"}
{"index":{"_index":"test_index","_type":"doc","_id":3}}
{"field1": "111122223333","field2": "6867454590"}
POST test_index/_search
{
"query": {
"filtered": {
"filter": {
"or": [
{
"term": { "field1": "4848" }
},
{
"term": { "field2": "6867" }
}
]
}
}
}
}
...
{
"took": 8,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1,
"hits": [
{
"_index": "test_index",
"_type": "doc",
"_id": "1",
"_score": 1,
"_source": {
"field1": "121223234848",
"field2": "1234567890"
}
},
{
"_index": "test_index",
"_type": "doc",
"_id": "3",
"_score": 1,
"_source": {
"field1": "111122223333",
"field2": "6867454590"
}
}
]
}
}
這里發生了很多事情,所以我不會嘗試在這篇文章中解釋它。 如果您需要更多說明,建議您閱讀此博客文章: http : //blog.qbox.io/multi-field-partial-word-autocomplete-in-elasticsearch-using-ngrams 。 希望您能原諒無恥的外表。 ;)
希望能有所幫助。
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