Method and system for optimization realization based on time dimension data real-time inquiry service
An implementation method and technology for implementing a system, which are applied in electrical digital data processing, special data processing applications, instruments, etc., and can solve problems such as constraints, unsupported big data, and high-throughput metric data query.
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Embodiment 1
[0028] The present invention provides an optimized implementation method for real-time query service based on time measurement data, including performing the following operations on the query database:
[0029] Store different metrics, each metric includes multiple metric data points, each metric data point includes a metric value and a label set, each label in the label set consists of a key / value pair, and the metrics in different metrics Data points have different key sets, but the key sets of measurement data points in the same measurement are the same, they will belong to the same measurement, and the data points containing the same key / value pair combination will be classified as a basic time measurement sequence and recorded in the metadata table. Specifically, time-based metric data is defined as follows, and each different metric i has its own name, ie, metric(i). A metric data point, metric_data_point(i,t), belongs to metric i and occurs at time t. Each data measur...
Embodiment 2
[0048] The present invention also provides another optimized implementation system for real-time query service based on time measurement data, which includes a query database for storing different measurements, each measurement includes a plurality of measurement data points, and each measurement data point includes a measurement value and a label set, each label in the label set is composed of a key / value pair, and the measurement data points in different measurements have different key sets, but the key sets of the measurement data points in the same measurement are the same, Data points that belong to the same metric and contain the same key / value pair are grouped into a basic time metric sequence and recorded in the metadata table.
[0049] Preferably, the query database uses different namespaces to segment different metrics, that is, the metrics of the same type are classified into the same namespace, and a metric can only belong to one namespace, and each namespace contai...
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