elasticsearch,Search" />
elasticsearch,search,Java,Java 需要在弹性搜索中搜索词间，请告知我如何处理
嗨，我正在寻找搜索功能，我们需要在弹性搜索词之间搜索。Ryt现在我们的搜索工作就像我们要搜索“公司名称”一样，我们需要用“c”、“n”、“co”、“comp”、“na”、“nam”进行搜索，但如果我们用“mp”、“any”、“ame”、“me”、“p”进行搜索，则需要的结果应该是“公司名称”。请告知我们如何处理此问题。如果存在任何此类搜索功能，我尝试了wild card，但它不适用于多个字段。如果我遗漏了任何内容，请告知或建议我如何实现 你可以先用它把文本分解成 每当遇到指定字符列表中的一个字符时， 然后，它发出指定长度的每个字的N克 添加包含索引数据、映射、搜索查询和结果的工作示例 索引映射：Java 需要在弹性搜索中搜索词间，请告知我如何处理,java,
elasticsearch,search,Java,
{
"settings": {
"analysis": {
"analyzer": {
"my_analyzer": {
"tokenizer": "my_tokenizer"
}
},
"tokenizer": {
"my_tokenizer": {
"type": "ngram",
"min_gram": 1,
"max_gram": 20,
"token_chars": [
"letter",
"digit"
]
}
}
},
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},
"mappings": {
"properties": {
"body": {
"type": "text",
"analyzer": "my_analyzer"
}
}
}
}
{
"body": "company name"
}
{
"query": {
"match": {
"body": "ame"
}
}
}
"hits": [
{
"_index": "64975316",
"_type": "_doc",
"_id": "1",
"_score": 1.941854,
"_source": {
"body": "company name"
}
}
]
GET/_analzye
{
"analyzer" : "my_analyzer",
"text" : "company name"
}
{
"tokens": [
{
"token": "c",
"start_offset": 0,
"end_offset": 1,
"type": "word",
"position": 0
},
{
"token": "co",
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"type": "word",
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},
{
"token": "com",
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},
{
"token": "comp",
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"end_offset": 4,
"type": "word",
"position": 3
},
{
"token": "compa",
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"type": "word",
"position": 4
},
{
"token": "compan",
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},
{
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},
{
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{
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},
{
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},
{
"token": "ompa",
"start_offset": 1,
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"type": "word",
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},
{
"token": "ompan",
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"type": "word",
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},
{
"token": "ompany",
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"type": "word",
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},
{
"token": "m",
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"type": "word",
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},
{
"token": "mp",
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"type": "word",
"position": 14
},
{
"token": "mpa",
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"type": "word",
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},
{
"token": "mpan",
"start_offset": 2,
"end_offset": 6,
"type": "word",
"position": 16
},
{
"token": "mpany",
"start_offset": 2,
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"type": "word",
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{
"token": "p",
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{
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},
{
"token": "pan",
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"type": "word",
"position": 20
},
{
"token": "pany",
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"end_offset": 7,
"type": "word",
"position": 21
},
{
"token": "a",
"start_offset": 4,
"end_offset": 5,
"type": "word",
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},
{
"token": "an",
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"type": "word",
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},
{
"token": "any",
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},
{
"token": "n",
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"type": "word",
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},
{
"token": "ny",
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},
{
"token": "y",
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},
{
"token": "n",
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},
{
"token": "na",
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},
{
"token": "nam",
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{
"token": "name",
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{
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{
"token": "ame",
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{
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{
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},
{
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}
]
}
{
"settings": {
"analysis": {
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"my_analyzer": {
"tokenizer": "my_tokenizer"
}
},
"tokenizer": {
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"type": "ngram",
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"letter",
"digit"
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},
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"body": {
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{
"body": "company name"
}
{
"query": {
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}
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}
"hits": [
{
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"_source": {
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]
{
"settings": {
"analysis": {
"analyzer": {
"my_analyzer": {
"tokenizer": "my_tokenizer"
}
},
"tokenizer": {
"my_tokenizer": {
"type": "ngram",
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"token_chars": [
"letter",
"digit"
]
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}
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"max_ngram_diff": 50
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"mappings": {
"properties": {
"body": {
"type": "text",
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}
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}
}
{
"body": "company name"
}
{
"query": {
"match": {
"body": "ame"
}
}
}
"hits": [
{
"_index": "64975316",
"_type": "_doc",
"_id": "1",
"_score": 1.941854,
"_source": {
"body": "company name"
}
}
]
{
"settings": {
"analysis": {
"analyzer": {
"my_analyzer": {
"tokenizer": "my_tokenizer"
}
},
"tokenizer": {
"my_tokenizer": {
"type": "ngram",
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"token_chars": [
"letter",
"digit"
]
}
}
},
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},
"mappings": {
"properties": {
"body": {
"type": "text",
"analyzer": "my_analyzer"
}
}
}
}
{
"body": "company name"
}
{
"query": {
"match": {
"body": "ame"
}
}
}
"hits": [
{
"_index": "64975316",
"_type": "_doc",
"_id": "1",
"_score": 1.941854,
"_source": {
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]
@harish kumar您是否有机会查看我的答案，期待得到您的反馈：）是的，它正在工作，但如果我们有过滤器，我们可以使用它吗？还有一个问题突出显示搜索我的应用程序搜索对我们的工作方式是，如果我们通过pageSize，它将只从记录中返回一个匹配字段。例如，有4个rec单词[{“姓名”：“jhon”，“年龄”：24，“姓氏”：“willam”，“名字”：“henry”}，{“姓名”：“kellin”，“年龄”：24，“姓氏”：“kevin”，“姓氏”：“mathew”}，{“姓名”：“Keep”，“年龄”：24，“姓氏”：“Jr”，“姓氏”：“gomez”}，{“姓名”：“Asif”，“年龄”：24，“姓氏”：“彼得”，“姓氏”：“willaim kemp”}]用户使用“ke”结果进行搜索时，将类似于{“结果”：[{“fieldId”：“name”，“matchingText”：“Kellin”}，{“fieldId”：“name”，“matchingText”：“keeper”}，{“fieldId”：“name”，”matchingText:“willaim kemp”}]，“total_count”：4，//在es索引“page”中匹配的记录总数：1，“pageSize”：3//每页无记录总数}