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Elasticsearch Nested类型深入详解
2020-09-21 15:25:370、概要 在Elasticsearch实战场景中，我们或多或少会遇到嵌套文档的组合形式，反映在ES中称为父子文档。...本文通过一个例子将Nested类型适合解决的问题、应用场景、使用方法串起来， 文中所有的DSL都在Elasticsearch6展开全文
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白话Elasticsearch59-数据建模实战_ Nested Aggregation/ Reverse nested Aggregation对嵌套的博客评论数据...
2019-09-02 20:31:28文章目录概述官网示例模拟数据需求一： 需求1： 按照评论日期进行bucket划分，然后拿到每个月的评论的评分的平均值需求二： 以年龄 10岁一个划分，看下都有哪些tagreverse_nested 概述 继续跟中华石杉老师学习ES，...展开全文
概述
继续跟中华石杉老师学习ES，第59篇
课程地址： https://www.roncoo.com/view/55
官网
Nested Aggregation：戳这里
示例
基于白话Elasticsearch58-数据建模实战_基于nested object实现博客与评论嵌套关系的数据
模拟数据
DELETE website PUT /website { "mappings": { "blogs": { "properties": { "comments": { "type": "nested", "properties": { "name": { "type": "text" }, "comment": { "type": "text" }, "age": { "type": "short" }, "stars": { "type": "short" }, "date": { "type": "date" } } } } } } } PUT /website/blogs/1 { "title": "花无缺发表的一篇帖子", "content": "我是花无缺，大家要不要考虑一下投资房产和买股票的事情啊。。。", "tags": [ "投资", "理财" ], "comments": [ { "name": "小鱼儿", "comment": "什么股票啊？推荐一下呗", "age": 28, "stars": 4, "date": "2016-09-01" }, { "name": "黄药师", "comment": "我喜欢投资房产，风，险大收益也大", "age": 31, "stars": 5, "date": "2016-10-22" } ] } PUT /website/blogs/2 { "title": "2花无缺发表的一篇帖子", "content": "2我是花无缺，大家要不要考虑一下投资房产和买股票的事情啊。。。", "tags": [ "房产", "金融" ], "comments": [ { "name": "2小鱼儿", "comment": "2什么股票啊？推荐一下呗", "age": 44, "stars": 4, "date": "2016-09-01" }, { "name": "2黄药师", "comment": "2我喜欢投资房产，风，险大收益也大", "age": 55, "stars": 5, "date": "2016-10-22" } ] } PUT /website/blogs/3 { "title": "3花无缺发表的一篇帖子", "content": "3我是花无缺，大家要不要考虑一下投资房产和买股票的事情啊。。。", "tags": [ "房产", "金融" ], "comments": [ { "name": "3小鱼儿", "comment": "3什么股票啊？推荐一下呗", "age": 43, "stars": 4, "date": "2016-09-01" }, { "name": "3黄药师", "comment": "2我喜欢投资房产，风，险大收益也大", "age": 76, "stars": 5, "date": "2016-10-22" } ] }
#查看mapping GET /website/_mapping/blogs/ { "website": { "mappings": { "blogs": { "properties": { "comments": { "type": "nested", "properties": { "age": { "type": "short" }, "comment": { "type": "text" }, "date": { "type": "date" }, "name": { "type": "text" }, "stars": { "type": "short" } } }, "content": { "type": "text", "fields": { "keyword": { "type": "keyword", "ignore_above": 256 } } }, "tags": { "type": "text", "fields": { "keyword": { "type": "keyword", "ignore_above": 256 } } }, "title": { "type": "text", "fields": { "keyword": { "type": "keyword", "ignore_above": 256 } } } } } } } }
需求一： 按照评论日期进行bucket划分，然后拿到每个月的评论的评分的平均值
GET /website/blogs/_search { "size": 0, "aggs": { "comments_path": { "nested": { "path": "comments" }, "aggs": { "group_by_comments_date": { "date_histogram": { "field": "comments.date", "interval": "month", "format": "yyyy-MM" }, "aggs": { "avg_stars": { "avg": { "field": "comments.stars" } } } } } } } }返回：
需求二： 以年龄 10岁一个划分，看下都有哪些tag
reverse_nested
DSL：
GET /website/blogs/_search { "size": 0, "aggs": { "comments_path": { "nested": { "path": "comments" }, "aggs": { "group_by_comments_age": { "histogram": { "field": "comments.age", "interval": 10, "min_doc_count": 1 }, "aggs": { "reverse_path": { "reverse_nested": {}, "aggs": { "group_by_tags": { "terms": { "field": "tags.keyword" } } } } } } } } } }返回：
{ "took": 5, "timed_out": false, "_shards": { "total": 5, "successful": 5, "skipped": 0, "failed": 0 }, "hits": { "total": 3, "max_score": 0, "hits": [] }, "aggregations": { "comments_path": { "doc_count": 6, "group_by_comments_age": { "buckets": [ { "key": 20, "doc_count": 1, "reverse_path": { "doc_count": 1, "group_by_tags": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "投资", "doc_count": 1 }, { "key": "理财", "doc_count": 1 } ] } } }, { "key": 30, "doc_count": 1, "reverse_path": { "doc_count": 1, "group_by_tags": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "投资", "doc_count": 1 }, { "key": "理财", "doc_count": 1 } ] } } }, { "key": 40, "doc_count": 2, "reverse_path": { "doc_count": 2, "group_by_tags": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "房产", "doc_count": 2 }, { "key": "金融", "doc_count": 2 } ] } } }, { "key": 50, "doc_count": 1, "reverse_path": { "doc_count": 1, "group_by_tags": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "房产", "doc_count": 1 }, { "key": "金融", "doc_count": 1 } ] } } }, { "key": 70, "doc_count": 1, "reverse_path": { "doc_count": 1, "group_by_tags": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "房产", "doc_count": 1 }, { "key": "金融", "doc_count": 1 } ] } } } ] } } } }
reverse_nested
reverse_nested ： 戳这里
简单来说：基于nested object 下钻的聚合里面，可以用上它外面的field
比如下面的 nested 字段是 comments
"nested": { "path": "comments" }我们想取tags 字段，这个时候就需要使用 reverse_nested
以下用6.4的版本演示
PUT /issues { "mappings": { "issue": { "properties": { "tags": { "type": "keyword" }, "comments": { "type": "nested", "properties": { "username": { "type": "keyword" }, "comment": { "type": "text" } } } } } } } GET /issues/_search { "query": { "match_all": {} }, "aggs": { "comments": { "nested": { "path": "comments" }, "aggs": { "top_usernames": { "terms": { "field": "comments.username" }, "aggs": { "comment_to_issue": { "reverse_nested": {}, "aggs": { "top_tags_per_comment": { "terms": { "field": "tags" } } } } } } } } } }
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ElasticSearch DSL小记之Nested Query + Nested Aggregation + Reverse Nested
2020-05-11 14:06:49Nested Aggregation A special single bucket aggregation that enables aggregating nested documents. 一种特殊的单桶聚合，可聚合嵌套文档。 Reverse nested Aggregation A special single bucket aggregation ...展开全文ElasticSearch Version:6.2.2
Nested Aggregation
A special single bucket aggregation that enables aggregating nested documents.
一种特殊的单桶聚合，可聚合嵌套文档。Reverse nested Aggregation
A special single bucket aggregation that enables aggregating on parent docs from nested documents. Effectively this aggregation can break out of the nested block structure and link to other nested structures or the root document, which allows nesting other aggregations that aren’t part of the nested object in a nested aggregation.The reverse_nested aggregation must be defined inside a nested
aggregation.
一种特殊的单桶聚合，支持从嵌套文档中聚合父文档。实际上，这种聚合可以脱离嵌套块结构，并链接到其他嵌套结构或根文档，这允许嵌套不属于嵌套聚合中嵌套对象的其他聚合。reverse_nested聚合必须在嵌套聚合中定义。DSL:
{ "size": 0, "query": { "bool": { "filter": [{ "term": { "params1": { "value": 0, "boost": 1.0 } } }, { "nested": { "query": { "bool": { "filter": [{ "bool": { "should": [{ "bool": { "filter": [{ "term": { "nestedObject.params2": { "value": 0, "boost": 1.0 } } }], "adjust_pure_negative": true, "boost": 1.0 } }, { "bool": { "should": [{ "bool": { "filter": [{ "term": { "nestedObject.params2": { "value": "1", "boost": 1.0 } } }, { "range": { "nestedObject.params2Start": { "from": null, "to": "07:02:26", "include_lower": true, "include_upper": true, "boost": 1.0 } } }], "adjust_pure_negative": true, "boost": 1.0 } }, { "bool": { "filter": [{ "term": { "nestedObject.params2": { "value": 1, "boost": 1.0 } } }, { "range": { "nestedObject.params2End": { "from": "07:02:26", "to": null, "include_lower": true, "include_upper": true, "boost": 1.0 } } }], "adjust_pure_negative": true, "boost": 1.0 } }, { "bool": { "filter": [{ "term": { "nestedObject.params2": { "value": 1, "boost": 1.0 } } }, { "range": { "nestedObject.params2Start": { "from": null, "to": "07:02:26", "include_lower": true, "include_upper": true, "boost": 1.0 } } }, { "range": { "nestedObject.params2End": { "from": "07:02:26", "to": null, "include_lower": true, "include_upper": true, "boost": 1.0 } } }], "adjust_pure_negative": true, "boost": 1.0 } }], "adjust_pure_negative": true, "boost": 1.0 } }], "adjust_pure_negative": true, "boost": 1.0 } }, { "bool": { "should": [{ "bool": { "filter": [{ "range": { "nestedObject.params3": { "from": "2020-05-07 07:02:26", "to": null, "include_lower": true, "include_upper": true, "boost": 1.0 } } }, { "range": { "nestedObject.params4": { "from": null, "to": "2020-05-07 07:02:26", "include_lower": true, "include_upper": true, "boost": 1.0 } } }, { "term": { "nestedObject.params5": { "value": 4, "boost": 1.0 } } }], "adjust_pure_negative": true, "boost": 1.0 } }, { "bool": { "should": [{ "term": { "nestedObject.params5": { "value": 1, "boost": 1.0 } } }, { "term": { "nestedObject.params5": { "value": 2, "boost": 1.0 } } }], "adjust_pure_negative": true, "boost": 1.0 } }], "adjust_pure_negative": true, "boost": 1.0 } }], "should": [{ "term": { "nestedObject.params6": { "value": 0, "boost": 1.0 } } }, { "term": { "nestedObject.params6": { "value": 1, "boost": 1.0 } } }, { "term": { "nestedObject.params6": { "value": 4, "boost": 1.0 } } }], "adjust_pure_negative": true, "boost": 1.0 } }, "path": "nestedObject", "ignore_unmapped": false, "score_mode": "none", "boost": 1.0 } }, { "term": { "params7": { "value": "CN" } } }], "adjust_pure_negative": true, "boost": 1.0 } }, "_source": true, "aggregations": { "params7": { "terms": { "field": "params7", "missing": "", "size": 10000, "min_doc_count": 1, "shard_min_doc_count": 0, "show_term_doc_count_error": false, "order": [{ "_count": "desc" }, { "_key": "asc" }], "collect_mode": "breadth_first" }, "aggregations": { "params8": { "nested": { "path": "nestedObject" }, "aggregations": { "packageType": { "terms": { "field": "nestedObject.params8" }, "aggregations": { "params5": { "filter": { "term": { "nestedObject.params5": { "value": 1, "boost": 1.0 } } }, "aggregations": { "params5sum": { "sum": { "field": "nestedObject.params5" } } } }, "params9": { "reverse_nested": {}, "aggregations": { "params9-1": { "filter": { "term": { "params1": { "value": 0, "boost": 1.0 } } } } } }, "params2": { "filter": { "nested": { "query": { "term": { "nestedObject.params2": { "value": 1, "boost": 1.0 } } }, "path": "nestedObject", "ignore_unmapped": false, "score_mode": "none", "boost": 1.0 } } } } } } } } } } }
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