hierarchy

Oracle SQ Identify Siblings via siblings

情到浓时终转凉″ 提交于 2021-01-29 09:08:33
问题 I have linked together groups of records which are related via a shared parent. Unfortunately there are some quite complicated family groups, and it's become clear that just using a shared parental relationship isn't enough - I also want to take into account sibling relationships. To be clear - this is actual family groups, which are currently identified if their is a shared mother or father relationship, but in some cases a child may not share parents with another child who is still linked

flutter: taking screenshots of a widget from its sibling

时光总嘲笑我的痴心妄想 提交于 2021-01-29 06:17:12
问题 Goal I have a view that has two children Widget A and Widget B, standing side by side. Widget B has a button that triggers a screenshot on Widget A, Problem but referring to questions such as this one, it seems that the implementation of screen capture must stay within Widget A. So the button callback in Widget B needs to talk to Widget A. Since both are stateful widgets, I find it difficult for B to call A's function inside its state. The various provider and inheritedWidget mechanisms seem

Build Enumeration Path from Adjacency List in SQL

假如想象 提交于 2021-01-28 05:27:22
问题 Initial scenario My software uses a tree data structure, and I store it in SQL. I use the abstraction called Adjacency List which consists of each row storing ID and ParentID . ID is Primary Key and ParentID is a Foreign Key to the same table. The problem I want to "convert" my SQL abstraction to Path Enumeration . It consists of each row storing ID and a varchar field storing the path of the IDs, from the root to the current row. For example, the Path field of the row with ID = 6 in this

d3 Dendrogram: Replacing root retains old tree

自作多情 提交于 2021-01-28 03:17:14
问题 I have a Dendrogram / cluster diagram's root using d3.hierarchy. I'm trying to update the root with a selected node which should become the new head, with a new tree drawn with that node at the top. This should replace the old tree. The steps are as follows: read in flat data convert to hierarchy using d3.stratify convert this to a cluster (with coordinates etc) draw using new select.join (which no longer needs explicit exit / remove) user clicks on a node's circle update hierarchy with

Update hierarchy after deletion of row

≡放荡痞女 提交于 2021-01-07 06:21:38
问题 I have a table that contains tree-like data (hierarchic design). Here is a small sample: +----+----------+-----------+-------+----------+---------+ | ID | ParentID | Hierarchy | Order | FullPath | Project | +----+----------+-----------+-------+----------+---------+ | 1 | null | 1 | 1 | 1 | 1 | | 2 | null | 2 | 2 | 2 | 1 | | 3 | 1 | 1.1 | 1 | 1-3 | 1 | | 4 | 1 | 1.2 | 2 | 1-4 | 1 | | 5 | 4 | 1.2.1 | 1 | 1-4-5 | 1 | | 6 | 2 | 2.1 | 1 | 2-6 | 1 | | 7 | null | 3 | 1 | 1 | 2 | +----+----------+---

Update hierarchy after deletion of row

隐身守侯 提交于 2021-01-07 06:21:17
问题 I have a table that contains tree-like data (hierarchic design). Here is a small sample: +----+----------+-----------+-------+----------+---------+ | ID | ParentID | Hierarchy | Order | FullPath | Project | +----+----------+-----------+-------+----------+---------+ | 1 | null | 1 | 1 | 1 | 1 | | 2 | null | 2 | 2 | 2 | 1 | | 3 | 1 | 1.1 | 1 | 1-3 | 1 | | 4 | 1 | 1.2 | 2 | 1-4 | 1 | | 5 | 4 | 1.2.1 | 1 | 1-4-5 | 1 | | 6 | 2 | 2.1 | 1 | 2-6 | 1 | | 7 | null | 3 | 1 | 1 | 2 | +----+----------+---

Build a hierarchy from a relational data-set using Pyspark

耗尽温柔 提交于 2020-12-25 04:53:53
问题 I am new to Python and stuck with building a hierarchy out of a relational dataset. It would be of immense help if someone has an idea on how to proceed with this. I have a relational data-set with data like _currentnode, childnode_ root, child1 child1, leaf2 child1, child3 child1, leaf4 child3, leaf5 child3, leaf6 so-on. I am looking for some python or pyspark code to build a hierarchy dataframe like below _level1, level2, level3, level4_ root, child1, leaf2, null root, child1, child3, leaf5

Build a hierarchy from a relational data-set using Pyspark

旧巷老猫 提交于 2020-12-25 04:52:27
问题 I am new to Python and stuck with building a hierarchy out of a relational dataset. It would be of immense help if someone has an idea on how to proceed with this. I have a relational data-set with data like _currentnode, childnode_ root, child1 child1, leaf2 child1, child3 child1, leaf4 child3, leaf5 child3, leaf6 so-on. I am looking for some python or pyspark code to build a hierarchy dataframe like below _level1, level2, level3, level4_ root, child1, leaf2, null root, child1, child3, leaf5

SDK5.0 的Hierarchy view使用方法

此生再无相见时 提交于 2020-12-06 11:51:16
Android做维护开发的时候,Hierarchy view是非常好用的界面分析工具,对于 不是自己开发的界面,可以很方便的查看到view的id,以定位view的相关 代码 。 但是似乎是Android4.0之后,原先在tool目录的启动方式不能用了,硬要让人使用Android device monitor(ADM)。 打开了ADM之后,像原先一样的点击device工具栏的Hierarchy 图标,发现获取出来的view不能查看id。。 不能查看id我还要它干毛。。。。 放弃了好一段时间后,还是觉得没有它维护太麻烦。 再次打开ADM,研究了一番,终于: 在菜单栏的Window,选择 open perspective,弹出的界面选择 Hierarchy view . 整个世界都美好了。。。 ====================================== 不过在ADM里启动好像执行慢了很多,会卡顿。 一个工具就该做一件事,把一堆工具放到一起炖大杂烩,这感觉~Google大概是脑子坏了。。。 来源: oschina 链接: https://my.oschina.net/u/947746/blog/413659