我正在尝试在 Elasticsearch 中创建一个自定义分析器，以启用匹配项，例如C#，C++，A +，目前它仅匹配C，C，A。
{
"settings": {
"analysis": {
"analyzer": {
"my_custom_analyzer": {
"type": "keyword",
"type_table": [
"# => ALPHANUM",
"+ => ALPHANUM"
],
"filter": [
"lowercase"
]
}
}
}
}
}
{
"analyzer": "my_custom_analyzer",
"text": "CSS, A++, C#.Net, ASP.Net Hospitals is Africa's leading and the fastest growing super specialty care and multi-organ transplantation hospital. Designed the User Interfaces, User Controls according the requirements\n· Developed Cascading Style Sheets (CSS) for User Interface uniformity throughout the application\n· Involved in programming the business logic layer and data access layer\n· Involved in in developing pages in ASP.Net with C#.Net"
}
{
"tokens": [
{
"token": "CSS, A++, C#.Net, ASP.Net Hospitals is Africa's leading and the fastest growing super specialty care and multi-organ transplantation hospital. Designed the User Interfaces, User Controls according the requirements\n· Developed Cascading Style Sheets (CSS) for User Interface uniformity throughout the application\n· Involved in programming the business logic layer and data access layer\n· Involved in in developing pages in ASP.Net with C#.Net",
"start_offset": 0,
"end_offset": 443,
"type": "word",
"position": 0
}
]
}
{
"properties": {
"attachment.content": {
"type": "my_custom_analyzer"
}
}
}
{
"error": {
"root_cause": [
{
"type": "mapper_parsing_exception",
"reason": "No handler for type [my_custom_analyzer] declared on field [attachment.content]"
}
],
"type": "mapper_parsing_exception",
"reason": "No handler for type [my_custom_analyzer] declared on field [attachment.content]"
},
"status": 400
}
最佳答案
我使用以下方法设法从ES api获得了正确的响应，虽然还不是100％，但是它在正确的轨道上，当前未突出显示哪个问题，但是当使用Analyzer api进行测试时，我得到了一个响应认为方向正确。
{
"settings": {
"analysis": {
"filter": {
"my_delimeter": {
"type": "word_delimiter",
"type_table": [
"# => ALPHANUM",
"+ => ALPHANUM",
". => ALPHANUM"
]
}
},
"analyzer": {
"my_analyzer": {
"tokenizer": "whitespace",
"filter": ["lowercase", "my_delimeter"]
}
}
}
}
}
{
"analyzer": "my_analyzer",
"text": "CSS, A++, C#.Net, ASP.Net Hospitals is Africa's leading and the fastest growing super specialty care and multi-organ transplantation hospital. Designed the User Interfaces, User Controls according the requirements\n· Developed Cascading Style Sheets (CSS) for User Interface uniformity throughout the application\n· Involved in programming the business logic layer and data access layer\n· Involved in in developing pages in ASP.Net with C#.Net"
}
{
"tokens": [
{
"token": "css",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 0
},
{
"token": "a++",
"start_offset": 5,
"end_offset": 8,
"type": "word",
"position": 1
},
{
"token": "c#.net",
"start_offset": 10,
"end_offset": 16,
"type": "word",
"position": 2
},
{
"token": "asp.net",
"start_offset": 18,
"end_offset": 25,
"type": "word",
"position": 3
},
{
"token": "hospitals",
"start_offset": 26,
"end_offset": 35,
"type": "word",
"position": 4
},
{
"token": "is",
"start_offset": 36,
"end_offset": 38,
"type": "word",
"position": 5
},
{
"token": "africa",
"start_offset": 39,
"end_offset": 45,
"type": "word",
"position": 6
},
{
"token": "leading",
"start_offset": 48,
"end_offset": 55,
"type": "word",
"position": 7
},
{
"token": "and",
"start_offset": 56,
"end_offset": 59,
"type": "word",
"position": 8
},
{
"token": "the",
"start_offset": 60,
"end_offset": 63,
"type": "word",
"position": 9
},
{
"token": "fastest",
"start_offset": 64,
"end_offset": 71,
"type": "word",
"position": 10
},
{
"token": "growing",
"start_offset": 72,
"end_offset": 79,
"type": "word",
"position": 11
},
{
"token": "super",
"start_offset": 80,
"end_offset": 85,
"type": "word",
"position": 12
},
{
"token": "specialty",
"start_offset": 86,
"end_offset": 95,
"type": "word",
"position": 13
},
{
"token": "care",
"start_offset": 96,
"end_offset": 100,
"type": "word",
"position": 14
},
{
"token": "and",
"start_offset": 101,
"end_offset": 104,
"type": "word",
"position": 15
},
{
"token": "multi",
"start_offset": 105,
"end_offset": 110,
"type": "word",
"position": 16
},
{
"token": "organ",
"start_offset": 111,
"end_offset": 116,
"type": "word",
"position": 17
},
{
"token": "transplantation",
"start_offset": 117,
"end_offset": 132,
"type": "word",
"position": 18
},
{
"token": "hospital.",
"start_offset": 133,
"end_offset": 142,
"type": "word",
"position": 19
},
{
"token": "designed",
"start_offset": 143,
"end_offset": 151,
"type": "word",
"position": 20
},
{
"token": "the",
"start_offset": 152,
"end_offset": 155,
"type": "word",
"position": 21
},
{
"token": "user",
"start_offset": 156,
"end_offset": 160,
"type": "word",
"position": 22
},
{
"token": "interfaces",
"start_offset": 161,
"end_offset": 171,
"type": "word",
"position": 23
},
{
"token": "user",
"start_offset": 173,
"end_offset": 177,
"type": "word",
"position": 24
},
{
"token": "controls",
"start_offset": 178,
"end_offset": 186,
"type": "word",
"position": 25
},
{
"token": "according",
"start_offset": 187,
"end_offset": 196,
"type": "word",
"position": 26
},
{
"token": "the",
"start_offset": 197,
"end_offset": 200,
"type": "word",
"position": 27
},
{
"token": "requirements",
"start_offset": 201,
"end_offset": 213,
"type": "word",
"position": 28
},
{
"token": "developed",
"start_offset": 216,
"end_offset": 225,
"type": "word",
"position": 29
},
{
"token": "cascading",
"start_offset": 226,
"end_offset": 235,
"type": "word",
"position": 30
},
{
"token": "style",
"start_offset": 236,
"end_offset": 241,
"type": "word",
"position": 31
},
{
"token": "sheets",
"start_offset": 242,
"end_offset": 248,
"type": "word",
"position": 32
},
{
"token": "css",
"start_offset": 250,
"end_offset": 253,
"type": "word",
"position": 33
},
{
"token": "for",
"start_offset": 255,
"end_offset": 258,
"type": "word",
"position": 34
},
{
"token": "user",
"start_offset": 259,
"end_offset": 263,
"type": "word",
"position": 35
},
{
"token": "interface",
"start_offset": 264,
"end_offset": 273,
"type": "word",
"position": 36
},
{
"token": "uniformity",
"start_offset": 274,
"end_offset": 284,
"type": "word",
"position": 37
},
{
"token": "throughout",
"start_offset": 285,
"end_offset": 295,
"type": "word",
"position": 38
},
{
"token": "the",
"start_offset": 296,
"end_offset": 299,
"type": "word",
"position": 39
},
{
"token": "application",
"start_offset": 302,
"end_offset": 313,
"type": "word",
"position": 40
},
{
"token": "involved",
"start_offset": 316,
"end_offset": 324,
"type": "word",
"position": 41
},
{
"token": "in",
"start_offset": 325,
"end_offset": 327,
"type": "word",
"position": 42
},
{
"token": "programming",
"start_offset": 328,
"end_offset": 339,
"type": "word",
"position": 43
},
{
"token": "the",
"start_offset": 340,
"end_offset": 343,
"type": "word",
"position": 44
},
{
"token": "business",
"start_offset": 344,
"end_offset": 352,
"type": "word",
"position": 45
},
{
"token": "logic",
"start_offset": 353,
"end_offset": 358,
"type": "word",
"position": 46
},
{
"token": "layer",
"start_offset": 359,
"end_offset": 364,
"type": "word",
"position": 47
},
{
"token": "and",
"start_offset": 365,
"end_offset": 368,
"type": "word",
"position": 48
},
{
"token": "data",
"start_offset": 369,
"end_offset": 373,
"type": "word",
"position": 49
},
{
"token": "access",
"start_offset": 374,
"end_offset": 380,
"type": "word",
"position": 50
},
{
"token": "layer",
"start_offset": 381,
"end_offset": 386,
"type": "word",
"position": 51
},
{
"token": "involved",
"start_offset": 389,
"end_offset": 397,
"type": "word",
"position": 52
},
{
"token": "in",
"start_offset": 398,
"end_offset": 400,
"type": "word",
"position": 53
},
{
"token": "in",
"start_offset": 401,
"end_offset": 403,
"type": "word",
"position": 54
},
{
"token": "developing",
"start_offset": 404,
"end_offset": 414,
"type": "word",
"position": 55
},
{
"token": "pages",
"start_offset": 415,
"end_offset": 420,
"type": "word",
"position": 56
},
{
"token": "in",
"start_offset": 421,
"end_offset": 423,
"type": "word",
"position": 57
},
{
"token": "asp.net",
"start_offset": 424,
"end_offset": 431,
"type": "word",
"position": 58
},
{
"token": "with",
"start_offset": 432,
"end_offset": 436,
"type": "word",
"position": 59
},
{
"token": "c#.net",
"start_offset": 437,
"end_offset": 443,
"type": "word",
"position": 60
}
]
}
{
"properties": {
"attachment.content": {
"type": "text",
"search_analyzer": "my_analyzer",
"analyzer": "my_analyzer",
"fields": {
"content": {
"type": "text",
"analyzer": "my_analyzer"
}
}
}
}
}
"highlight": {
"skills": [
"<em>C</em>#",
"Microsoft Visual Studio <em>C</em># (Windows Form and Web APP) and Java Eclipse"
]
}
关于elasticsearch - 弹性分析器以启用匹配搜索，例如C#，C++，A +，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/63477160/