阅读背景:

有没有强大的时间序列数据数据库系统?

来源:互联网 

In multiple projects we have to store, aggregate, evaluate simple measurement values. One row typcially consists of a time stamp, a value and some attributes to the value. In some applications we would like to store 1000 values per second and more. These values must not only be inserted but also deleted at the same rate, since the lifetime of a value is restricted to a year or so (in different aggregation steps, we do not store 1000/s for the whole year).In multiple projects we have to store, aggregat




你的当前访问异常,请进行认证后继续阅读剩余内容。

分享到: