当前位置:网站首页>[tcapulusdb knowledge base] Introduction to tcapulusdb data structure
[tcapulusdb knowledge base] Introduction to tcapulusdb data structure
2022-06-26 15:14:00 【Database master】
TcaplusDB Our users often have such an application scenario , This is to import the data of several online tables into a test cluster , For problem location . So as not to affect online services . Deal with such scenarios ,tcaplus The solution is to use data construction and data import . Data construction refers to the construction of online data to a third-party machine or tcaplus Non direct service providing machines , Then run data import , Running on these machines tcapsvrmgr, Pass the data through tcaplus_service_api Write to the target cluster .
The operation flow of data construction is as follows :
entrance :

The specific page is as follows , Business applications generally only have table data structures , However, machine data construction generally has no application scenario , Just provide some additional tools for management . Note that the data structure needs to provide a third-party machine , And for the hard disk space of third-party machines 、 Memory 、CPU、 There are certain requirements for network bandwidth , Because all the data will be pushed to this machine , Large hard disk space is required . And running tcapsvrmgr There are also requirements for machine performance , Therefore, the data construction machine should provide good performance 、 Large capacity machine . At the same time, if the overall speed is required , Provide as many machines as possible for data construction , It can not only improve the speed of data construction , It can also improve the speed of subsequent data import .

After the bill of lading on the above page, transactions can be generated for data construction .
For more information, please pay attention to TcaplusDB WeChat official account , In the wind and rain , We've been waiting for you !

TcaplusDB It's a distributed product of Tencent NoSQL database , The code for storage and scheduling is completely self-developed . With cache + Landing fusion architecture 、PB Levels of storage 、 Millisecond delay 、 Lossless horizontal expansion and complex data structure . At the same time, it has rich ecological environment 、 Easy migration 、 Extremely low operation and maintenance costs and five nine high availability features . Customer coverage game 、 Internet 、 government affairs 、 Finance 、 Manufacturing and the Internet of things .
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