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  • Please use the , vue-draggable-nested-tree will no longer be maintained. 请使用新发布的, vue-draggable-nested-tree 将不再维护. Please use the , vue-draggable-nested-tree will no longer be maintained. ...
  • 数据库中JOIN操作的实现主要有三种:嵌套循环连接(Nested Loop Join),归并连接(Merge Join)和散列连接或者哈稀连接(Hash Join)。其中嵌套循环连接又视情况又有两种变形:块嵌套循环连接和索引嵌套循环连接。
  • npm install --save sequelize-nested-set 请注意,您必须自己安装Sequelize 。 入门 该库用作sequelize.define的包装,它具有相同的参数:模型名称,属性(即表字段),选项,但前两个参数是sequelize connection...
  • DRF可写嵌套 ...pip install drf-writable-nested 用法 例如,对于以下模型结构: from django . db import models class Site ( models . Model ): url = models . CharField ( max_length = 100 ) clas
  • 嵌套NER的边界感知模型的源代码 ... N=maximum nested level + 1每个句子用空行分隔。 例如,对于这两个句子, John killed Mary's husband. He was arrested last night John killed Mary's husband. He was ar
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  • Go Nested Set是的实现。 该项目是的Go版本,它使用相同的数据结构设计,因此它与一起使用相同的数据。 实际上,原始设计就是为此而设计的,由我们的Rails应用程序中的管理的内容,还需要维护前端Go API。 这是...
  • 它替代了act_as_nested_set和BetterNestedSet,但功能更强大。 版本3.2支持Rails 6、3.1支持Rails 5和4。版本2支持Rails3。2.0之前的Gem版本支持Rails 2。 是什么让它如此出色? 这是基于BetterNestedSet的嵌套集...
  • 嵌套逻辑格式器 易于理解的日志格式化程序,可将logrus字段转换为嵌套结构: 配置: type Formatter struct { // FieldsOrder - default: fields sorted alphabetically FieldsOrder [] string ...
  • java解决nested exception is java.lang.OutOfMemoryError Java heap space 解决OOM
  • 学习elasticsearch嵌套聚集所需的示例数据,方便学习者进行测试。 关于城市宠物注册的web应用,系统包括下列一些实体: * City(city, type) * Citizen(occupation,age) ...* Pet(kind,name,age) ...
  • PostCSS嵌套 插件可解开嵌套规则,例如Sass的行为。 . phone { & _title { width : 500 px ; @media ( max-width : 500 px ) { width : auto; } body . is_dark & { color : white;........... width : 500 px
  • java解决Handler processing failed; nested exception is java.lang.NoClassDefFoundError
  • Spring与MyBatis整合错误:nested exception is java.lang.NoClassDefFoundError-附件资源
  • extended_nested_scroll_view 语言:| NestedScrollView:扩展的嵌套滚动视图,可解决以下问题。 1. 2. 3.拉动刷新不起作用。 4.在NestedScrollView的主体中不使用ScrollController 第2步 NestedScrollView拉动...
  • nested_lookup 让使用JSON,YAML和XML文档响应的工作再次变得有趣! nested_lookup包提供了许多Python函数,用于处理深层嵌套的文档。 在这种情况下,文档是Python字典和通常从YAML或JSON派生的列表对象的混合体。...
  • 问题描述 ... nested exception is com.sun.jersey.api.client.UniformInterfaceException: PUT http://localhost:8090/picServer/uploads/QQ截图20200220003029.png returned a response status of 400 Bad ... nested
  • 这是来自原始react native scrollview的fork,并替换为nestedscrollview。
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  • " wbraganca/yii2-nested-set-behavior " : " * " 到composer.json文件的 require 部分。 配置 首先你需要配置模型如下: use wbraganca\behaviors\ NestedSetBehavior ; use wbraganca\behaviors\ ...
  • 基于Nested Logit模型的出行路线方式选择和时间价值计算,宗芳,祁文田,本文介绍了Nested Logit模型的效用最大化理论、选择树的建立以及其概率表达式;时间价值的基本计算公式。对人们由长春到吉林的出行路
  • nested_filter:为嵌套地图提供Map#drop(按键或值)和Map#take功能
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  • oracle nested table demo

    2019-03-22 02:54:39
    NULL 博文链接:https://ivan-yan.iteye.com/blog/1007671
  • Elasticsearch Nested类型深入详解

    千次阅读 2020-09-21 15:25:37
    0、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

    0、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。
    父子文档的实现,至少包含以下两种方式:
    1)父子文档
    父子文档在5.X版本中通过parent-child父子type实现,即:1个索引对应多个type;
    6.X+版本已经不再支持一个索引多个type,6.X+的父子索引的实现改成Join。
    2)Nested嵌套类型

    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.X+验证通过。

    1、Elasticsearch 数据类型全景概览

    在这里插入图片描述

    2、从一个例子说起吧

    展开全文
  • nested_factor_colors:为嵌套因子的级别生成“漂亮”的颜色
  • 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,...


    在这里插入图片描述


    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

    在这里插入图片描述
    在这里插入图片描述
    在这里插入图片描述


    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:

    在这里插入图片描述


    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

    在这里插入图片描述

    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"
                      }
                    }
                  }
                }
              }
            }
          }
        }
      }
    }
    
    展开全文
  • 嵌套交叉验证 手动执行嵌套交叉验证
  • <p>SpringBoot项目ES搜索正常控制台报错提示nested path [params] is not nested无法解决 <p>Caused by: AggregationExecutionException[[nested] nested path [params] is not nested]  at org.elastic...
  • 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 ...

    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",
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    	}
    }
    
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