我们可以做到自定义一个function_score函数,自己将某个field的值,跟es内置算出来的分数进行运算,然后由自己指定的field来进行分数的增强
给所有的帖子数据增加follower数量
POST /forum/article/_bulk
{ "update": { "_id": "1"} }
{ "doc" : {"follower_num" : 5} }
{ "update": { "_id": "2"} }
{ "doc" : {"follower_num" : 10} }
{ "update": { "_id": "3"} }
{ "doc" : {"follower_num" : 25} }
{ "update": { "_id": "4"} }
{ "doc" : {"follower_num" : 3} }
{ "update": { "_id": "5"} }
{ "doc" : {"follower_num" : 60} }
响应结果
{
"took": 50,
"errors": false,
"items": [
{
"update": {
"_index": "forum",
"_type": "article",
"_id": "1",
"_version": 10,
"result": "updated",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"status": 200
}
},
{
"update": {
"_index": "forum",
"_type": "article",
"_id": "2",
"_version": 14,
"result": "updated",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"status": 200
}
},
{
"update": {
"_index": "forum",
"_type": "article",
"_id": "3",
"_version": 10,
"result": "updated",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"status": 200
}
},
{
"update": {
"_index": "forum",
"_type": "article",
"_id": "4",
"_version": 14,
"result": "updated",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"status": 200
}
},
{
"update": {
"_index": "forum",
"_type": "article",
"_id": "5",
"_version": 10,
"result": "updated",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"status": 200
}
}
]
}
将对帖子搜索得到的分数,跟follower_num进行运算,由follower_num在一定程度上增强帖子的分数 看帖子的人越多,那么帖子的分数就越高
GET /forum/article/_search
{
"query": {
"function_score": {
"query": {
"multi_match": {
"query": "java spark",
"fields": [
"tile",
"content"
]
}
},
"field_value_factor": {
"field": "follower_num"
}
}
}
}
响应结果
{
"took": 0,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 40.994698,
"hits": [
{
"_index": "forum",
"_type": "article",
"_id": "5",
"_score": 40.994698,
"_source": {
"articleID": "DHJK-B-1395-#Ky5",
"userID": 3,
"hidden": false,
"postDate": "2021-11-11",
"tag": [
"elasticsearch"
],
"tag_cnt": 1,
"view_cnt": 10,
"title": "this is spark blog",
"content": "spark is best big data solution based on scala ,an programming language similar to java spark",
"sub_title": "haha, hello world",
"author_first_name": "Tonny",
"author_last_name": "Peter Smith",
"new_author_last_name": "Peter Smith",
"new_author_first_name": "Tonny",
"follower_num": 60
}
},
{
"_index": "forum",
"_type": "article",
"_id": "2",
"_score": 6.8640785,
"_source": {
"articleID": "KDKE-B-9947-#kL5",
"userID": 1,
"hidden": false,
"postDate": "2017-01-02",
"tag": [
"java"
],
"tag_cnt": 1,
"view_cnt": 50,
"title": "this is java blog",
"content": "i think java is the best programming language",
"sub_title": "learned a lot of course",
"author_first_name": "Smith",
"author_last_name": "Williams",
"new_author_last_name": "Williams",
"new_author_first_name": "Smith",
"follower_num": 10
}
}
]
}
}
如果只有field,那么会将每个doc的分数都乘以follower_num,如果有的doc follower是0,那么分数就会变为0,有的doc follower很大,那么分数就会变的过大,效果很不好。因此一般会加个log1p函数,公式会变为,new_score = old_score * log(1 + number_of_votes),这样出来的分数会比较合理 再加个factor,可以进一步影响分数,new_score = old_score * log(1 + factor * number_of_votes) boost_mode,可以决定分数与指定字段的值如何计算默认是相乘multiply,multiply,sum,min,max,replace max_boost,限制计算出来的分数不要超过max_boost指定的值
GET /forum/article/_search
{
"query": {
"function_score": {
"query": {
"multi_match": {
"query": "java spark",
"fields": ["tile", "content"]
}
},
"field_value_factor": {
"field": "follower_num",
"modifier": "log1p",
"factor": 0.5
},
"boost_mode": "sum",
"max_boost": 2
}
}
}
响应结果
{
"took": 0,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 2.1746066,
"hits": [
{
"_index": "forum",
"_type": "article",
"_id": "5",
"_score": 2.1746066,
"_source": {
"articleID": "DHJK-B-1395-#Ky5",
"userID": 3,
"hidden": false,
"postDate": "2021-11-11",
"tag": [
"elasticsearch"
],
"tag_cnt": 1,
"view_cnt": 10,
"title": "this is spark blog",
"content": "spark is best big data solution based on scala ,an programming language similar to java spark",
"sub_title": "haha, hello world",
"author_first_name": "Tonny",
"author_last_name": "Peter Smith",
"new_author_last_name": "Peter Smith",
"new_author_first_name": "Tonny",
"follower_num": 60
}
},
{
"_index": "forum",
"_type": "article",
"_id": "2",
"_score": 1.4645591,
"_source": {
"articleID": "KDKE-B-9947-#kL5",
"userID": 1,
"hidden": false,
"postDate": "2017-01-02",
"tag": [
"java"
],
"tag_cnt": 1,
"view_cnt": 50,
"title": "this is java blog",
"content": "i think java is the best programming language",
"sub_title": "learned a lot of course",
"author_first_name": "Smith",
"author_last_name": "Williams",
"new_author_last_name": "Williams",
"new_author_first_name": "Smith",
"follower_num": 10
}
}
]
}
}