【发布时间】：2019-09-02 10:15:20
【问题描述】：
我正在尝试在 Elasticsearch 的索引中实现 Stop Token Filter。我遵循了取自 here 的代码。
PUT /test1
{
"settings": {
"analysis": {
"filter": {
"my_stop": {
"type": "stop",
"stopwords": "_english_"
}
}
}
}
}
我的数据以JSON 格式存储，并且有一个名为Ingredients 的字段，其中包含停用词。我想在整个索引（包含近 8 万条记录）中搜索 Ingredients 标签中出现次数最多的前 100 个值。我用来检索结果的查询是
GET test1/_search?size=0&pretty
{
"aggs": {
"genres": {
"terms": {
"field": "Ingredients",
"size": 100,
"exclude": "[0-9].*"
}
}
}
}
我需要从中排除我使用exclude 的数字。
但是使用Kibana 应用上述查询它不会删除Stop Words 并在查询响应时保持它们显示。
根据文档，它应该删除停止的单词，但它没有这样做。我无法找到原因，因为我是Elasticsearch 的新手。请帮我弄清楚。
我正在使用elasticsearch-7.3.1 和Kibana-7.3.1。
我正在研究它大约两天，但没有一种方法有效。谢谢！任何帮助将不胜感激。
如果我尝试使用这种方式，它可以工作，但是在按照上面定义的方法发出GET 请求时，它根本不起作用。
POST test1/_analyze
{
"analyzer": "my_stop",
"text": "House of Dickson<br> corp"
}
我的地图
{
"recipe_test" : {
"aliases" : { },
"mappings" : {
"properties" : {
"Author" : {
"properties" : {
"additionalInfo" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"description" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"eval" : {
"type" : "boolean"
},
"url" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"value" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
}
}
},
"Category" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"Channel" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"Cousine" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"Ingredients" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
},
"fielddata" : true
},
"Keywords" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"MakingMethod" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"Publication" : {
"properties" : {
"additionalInfo" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"eval" : {
"type" : "boolean"
},
"published" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"url" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"value" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
}
}
},
"Rating" : {
"properties" : {
"bestRating" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"ratingCount" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"ratingValue" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"worstRating" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
}
}
},
"Servings" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"Timings" : {
"properties" : {
"cookTime" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"prepTime" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"totalTime" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
}
}
},
"Title" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"description" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"recipe_url" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
}
}
},
"settings" : {
"index" : {
"number_of_shards" : "1",
"provided_name" : "recipe_test",
"creation_date" : "1567443878756",
"analysis" : {
"filter" : {
"english_stop" : {
"type" : "stop",
"stopwords" : "_english_"
}
},
"analyzer" : {
"rebuilt_stop" : {
"filter" : [
"asciifolding",
"lowercase",
"english_stop"
],
"tokenizer" : "standard"
}
}
},
"number_of_replicas" : "1",
"uuid" : "K-FrOyc6QlWokGQoN6HxCg",
"version" : {
"created" : "7030199"
}
}
}
} }
我的示例数据
{
"recipe_url": "http1742637/bean-and-pesto-mash",
"Channel": "waqas",
"recipe_id":"31",
"Title": "Bean & pesto mash",
"Rating": {
"ratingValue": "4.625",
"bestRating": "5",
"worstRating": "1",
"ratingCount": "8"
},
"Timings": {
"cookTime": "PT5M",
"prepTime": "PT5M",
"totalTime": "PT10M"
},
"Author": {
"eval": false,
"value": "dfgkkdfgdfgfmes",
"url": "https://www.example.com/",
"additionalInfo": "Recipe from Good Food magazine, ",
"description": "Substitute potatoes with pulses for a healthy alternative mash with a chunky texture",
"published": "November 2011"
},
"Publication": {
"eval": false,
"value": "",
"url": "",
"additionalInfo": "",
"published": ""
},
"Nutrition": "per serving",
"NutritionContents": {
"kcal": "183",
"fat": "5g",
"saturates": "1g",
"carbs": "25g",
"sugars": "3g",
"fibre": "7g",
"protein": "11g",
"salt": "0.84g"
},
"SkillLevel": "Easy",
"Ingredients": [
"drizzle", "Asparagus" , "Asparagus" , "Asparagus" , "Asparagus" , "Asparagus" , "Asparagus" , "Asparagus" , "Asparagus" , "Asparagus"
],
"MakingMethod": [
"Heat the oil in a large saucepan. Add the beans and cook for 3-4 mins until hot through. Lightly mash with a potato masher for a chunky texture. Stir through the pesto and season. To serve, drizzle with a little olive oil, if you like."
],
"Keywords": [
"Cannellini bean",
"Cannellini beans",
"Mash",
"Beans",
"Super healthy",
"Pulses",
"5-a-day",
"Low fat",
"Diet",
"Dieting",
"Side dish",
"Bangers and mash",
"Sausage and mash",
"Texture",
"Fireworks",
"Pesto",
"Easy",
"Vegetarian",
"Healthy",
"Bonfire Night"
],
"Category": [
"Side dish",
"Dinner"
],
"Cousine": "British",
"Servings": "Serves 4"
}
【问题讨论】：
标签： elasticsearch elasticsearch-aggregation kibana-7