elasticsearch text类型排序
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文章目录
一、text类型字段排序问题
text字段排序会报以下错误
Text fields are not optimised for operations that require per-document field data like aggregations and sorting,
so these operations are disabled by default. Please use a keyword field instead.
Alternatively, set fielddata=true on [age] in order to load field data by uninverting the inverted index. Note that this can use significant memory
翻译如下：
text类型字段没有针对需要每个文档字段数据的操作进行优化，比如聚合和排序，
所以这些操作在默认情况下是禁用的。请使用keyword类型字段代替。
或者，设置text类型字段的属性fielddata=true，以便通过取消倒排索引来加载字段数据。注意，这会占用大量内存
二、解决方案
1、text类型字段通过设置多字段特性(fields)类型为keyword
// 创建索引
PUT /my_test_unnested_2
"mappings":
"properties":
"age":"type": "text","fields": "keyword":"type":"keyword",
"name":"type": "text","fields": "keyword":"type":"keyword",
"birth":"type": "text","fields": "keyword":"type":"keyword"
// 导入数据
POST /my_test_unnested_2/_bulk
"index":"_id":"1"
"age":"15","name":"zhangsan","birth":"2021-09-03"
"index":"_id":"2"
"age":"12","name":"zhangsan11","birth":"2022-11-03"
"index":"_id":"3"
"age":"18","name":"zhangsan1","birth":"2021-11-03"
// 查询DSL
GET /my_test_unnested_2/_search
"sort": [
"birth.keyword":
"order": "asc"
]
// 查询结果
"took" : 2,
"timed_out" : false,
"_shards" :
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
,
"hits" :
"total" :
"value" : 3,
"relation" : "eq"
,
"max_score" : null,
"hits" : [
"_index" : "my_test_unnested_2",
"_type" : "_doc",
"_id" : "1",
"_score" : null,
"_source" :
"age" : "15",
"name" : "zhangsan",
"birth" : "2021-09-03"
,
"sort" : [
"2021-09-03"
]
,
"_index" : "my_test_unnested_2",
"_type" : "_doc",
"_id" : "3",
"_score" : null,
"_source" :
"age" : "18",
"name" : "zhangsan1",
"birth" : "2021-11-03"
,
"sort" : [
"2021-11-03"
]
,
"_index" : "my_test_unnested_2",
"_type" : "_doc",
"_id" : "2",
"_score" : null,
"_source" :
"age" : "12",
"name" : "zhangsan11",
"birth" : "2022-11-03"
,
"sort" : [
"2022-11-03"
]
]
2、text类型字段设置属性fielddata=true
// 创建索引
PUT /my_test_unnested_1
"mappings":
"properties":
"age":"type": "text","fielddata": true,
"name":"type": "text","fielddata": true,
"birth":"type": "text","fielddata": true
// 复制数据
POST _reindex
"source":
"index":"my_test_unnested_2"
,
"dest":
"index": "my_test_unnested_1"
// 查询DSL
GET /my_test_unnested_1/_search
"sort": [
"age":
"order": "asc"
]
// 查询结果
"took" : 462,
"timed_out" : false,
"_shards" :
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
,
"hits" :
"total" :
"value" : 3,
"relation" : "eq"
,
"max_score" : null,
"hits" : [
"_index" : "my_test_unnested_1",
"_type" : "_doc",
"_id" : "LoLCK4YBuFZg-3BRkmgI",
"_score" : null,
"_source" :
"age" : "12",
"name" : "zhangsan11",
"birth" : "2022-11-03"
,
"sort" : [
"12"
]
,
"_index" : "my_test_unnested_1",
"_type" : "_doc",
"_id" : "LILCK4YBuFZg-3BRDGij",
"_score" : null,
"_source" :
"age" : "15",
"name" : "zhangsan",
"birth" : "2021-09-03"
,
"sort" : [
"15"
]
,
"_index" : "my_test_unnested_1",
"_type" : "_doc",
"_id" : "LYLCK4YBuFZg-3BRVmhX",
"_score" : null,
"_source" :
"age" : "18",
"name" : "zhangsan1",
"birth" : "2021-11-03"
,
"sort" : [
"18"
]
]
三、nested字段的排序DSL
GET /my_test_sort/_search
"query": "match_all": ,
"sort": [
"ms_visit_record.age.keyword":
"order": "desc",
// 区别去非nested字段的排序
"nested_path": "ms_visit_record"
]
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