Massive measurement data near-real-time storage method
A quasi-real-time technology for measuring data, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of unrealistic parameters, data centralized management data analysis, unable to meet real-time processing, storage requirements, and prone to leakage Problems such as installation and wrong installation can be solved to achieve the effect of improving storage efficiency and reliability, reliable storage, and increasing utilization rate
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[0039] Based on this method, the original code data of the measurement system with a frequency of 50 Hz and a data volume of 10 Mbps is stored in real time. The hardware environment is shown in Table 1. When the number of warehousing result tables is 60, and the number of parameters contained in each result table is 20, the warehousing performance under different threshold conditions is tested, and the test results are shown in Table 2.
[0040] Table 1 Hardware environment
[0041]
[0042] Table 2 Test results
[0043] threshold
[0044] The test results show that when the threshold is set at 3000-10000, the performance is optimal. When the threshold is less than 3000, the smaller the threshold, the higher the frequency of calling Oracle SQL*Loader, resulting in a decline in storage performance. When the threshold is greater than 10000 At this time, the execution time of each call to Oracle SQL*Loader is prolonged, which obviously affects the storage performan...
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