Research on Grouping -- Initialize
2016-08-31 14:35:39 0 举报Grouping -- Initialize是一种常用的数据处理方法，它通过将数据集划分为不同的组别来进行分析。这种方法可以帮助我们更好地理解数据的特征和趋势，从而做出更准确的决策。在实际应用中，我们通常会根据业务需求选择合适的分组依据，例如按照地理位置、年龄、性别等进行分组。此外，我们还可以使用聚类算法来实现自动分组，这需要对算法的原理和应用有一定的了解。总之，Grouping -- Initialize是一种简单而有效的数据处理方法，它可以帮助我们更好地理解和利用数据，为业务决策提供有力支持。
作者其他创作
大纲/内容
N
Add this entry to every item in list for user:entity
Put this entry to public list
Y
Start to return
Get the user:entity item
delete this entry from 6 maps
Put this entry to privacy list
All public entry init finish
All entity are public?
Result include user:entity?
create new endpoint to return all entry in value set
support 6 endpoints to return key and size of value
create new entry
Start
All privacy entry init finish
Loop entity done?
Define listener to monitor entry operation
Start to maintain
only change these 6 attribute will update maps
Maintain these 6 maps when create or edit or delete entry
Get its all entity
Loop done?
Get entry's all entity
Start Grouping service after tamale server start
Result set include entity?
Loop entity
return all entry through by map and key
For privacy entry
For public entry
Loop every member
delete entry
Loop all entry
Loop member done?
Get entity's member list
Start Tamale server
edit entry
date grouping map need to update every day
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