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15million employees are easy to manage, and the cloud native database gaussdb makes HR office more efficient
2022-07-07 02:14:00 【InfoQ】
The flow peak is concentrated , Data reading and writing meet challenges
- Peak data read / write: Common attendance punching business scenarios , Due to the concentration of clock in time , The peak is as high as per second10 ten thousand +, Concurrent access pressure , Even through a series of heterogeneous and high-performance NoSQL To alleviate the impact of the flood peak on the basic database , But the challenge is still huge .
- Scale level data accounting: Common month end attendance accounting 、 Business scenario of salary accounting , Because a large number of enterprises will initiate the data accounting of the whole enterprise at the end and beginning of the month , The accounting will pull up the record data of the whole month and the major modules of the whole company , And thenMillions of linesData reading and writing pressure .
Brand new base , Efficient management
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