Other than the schema for metrics, Additionally, it involves the schema for tags (static attributes to get a time-collection). When making a desk, application shall utilize a STable as template and assign the worth to every tag. In other words, the desk is linked to a list of tags. For aggregation, the tags is going to be employed as a filter to obtain the list of tables which shall be scanned for question. It may Enhance the aggregation considerably.
At the moment, TDengine server supports working on Linux/Windows/macOS systems. Any software may select the RESTful interface provided by taosAdapter to connect the taosd provider .
Superior functionality: TDengine is the only time-sequence database that solves the significant-cardinality issue, supporting billions of knowledge selection details when outperforming other time-collection databases in info ingestion, querying and compression.
TDengine features a couple of parts like taosAdapter formulated by Go language. Remember to make reference to golang.org official documentation for golang ecosystem set up.
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End users can discover additional information about directories set up around the technique within the Listing and data files area.
The information model is The main A part of any facts administration procedure, but different time-collection databases undertake various info products.
You are able to run the bash script Make.sh to build equally TDengine and taosTools including taosBenchmark and taosdump as beneath:
You are able to operate the bash script Make.sh to create the two TDengine and taosTools which includes taosBenchmark and taosdump as below:
根据自己的应用场景，确定数据模型。根据数据特征，决定建立一个还是多个库；分清静态标签、采集量，建立正确的超级表，建立子表。
Shut. This dilemma isn't about programming or application enhancement. It is not at present accepting answers.
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