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Substantial Efficiency: TDengine is the sole time-sequence database to unravel the high cardinality situation to aid billions of knowledge collection details whilst out doing other time-sequence databases for facts ingestion, querying and info compression.
Higher performance: TDengine is the sole time-sequence database that solves the superior-cardinality concern, supporting billions of data collection points although outperforming other time-series databases in knowledge ingestion, querying and compression.
TDengine features a number of factors like taosAdapter produced by Go language. Please check with golang.org Formal documentation for golang atmosphere setup.
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Customers can find extra details about directories mounted within the method from the Listing and data files section.
People can find more information regarding directories put in about the program in the directory and documents segment.
You could choose to put in via resource code, container, installation package deal or Kubernetes. This fast manual only relates to installing from resource.
TSBS examination final results demonstrate that TDengine provides substantial rewards above InfluxDB and TimescaleDB in information ingestion, compression, and question effectiveness.
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。
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Large Effectiveness: TDengine is the one time-series database to solve the large cardinality problem to assistance billions of knowledge assortment details even though out doing other time-collection databases for facts ingestion, querying and info compression.
For your question of the information of an individual info collection issue, horizontal scaling is clear. The greater nodes you will discover, the increased the check here throughput charge. For aggregation queries, the query ask for is going to be despatched for the corresponding vnodes first, the vnodes will comprehensive the aggregation Procedure, then the shopper will aggregate the query benefits from multiple vnodes for any 2nd time. For the reason that the number of vnodes is limited, aggregation queries have to have little computation around the client facet, Hence the horizontal scalability ability of aggregation queries is reached.
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