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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[0027] Example one
[0028] The present invention provides an optimized realization method of real-time query service based on time measurement data, including the following operations on querying a 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 is composed of a key / value pair, and the metric in different metrics Data points have different sets of keys, but the key sets of measurement data points in the same metric are the same. Data points that belong to the same metric and contain the same key / value pair combination are classified as a basic time measurement sequence And recorded in the metadata table. Specifically, the time-based metric data is defined as follows, and each different metric i has its own name, namely metric(i). The metric data point metric_data_point(i,t), it belongs to the metric i, and the metric data point occurs at time ...
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[0047] Example two
[0048] The present invention also provides another system for real-time query service optimization based on time measurement data, including a query database for storing different metrics. Each metric includes multiple metric data points, and each metric data point includes a metric value and a label. A set, each label in the label set is composed of a key / value pair, and metric data points in different metrics have different key sets, but the key sets of metric data points in the same metric are the same, The data points belonging to the same metric and containing the same key / value pair combination are classified as a basic time metric sequence and recorded in the metadata table.
[0049] Preferably, the query database uses different namespaces to slice different metrics, that is, metrics of the same type are grouped into the same namespace, and a metric can only belong to one namespace, and each namespace contains multiple metrics. , Save all metrics in the...
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