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TDengine Company Version is usually a provider-grade solution which can satisfy the troubles of big facts with superior scalability, uptime, overall performance, and agility. As well as options while in the Local community Version, it incorporates the subsequent:

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。

Easy and safe details sharing, enabling usage of facts on any scale needed for your enterprise circumstance – from a complete occasion or a database to just one continual SQL query with just an electronic mail.

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On the other hand, details retention guidelines can be successfully implemented. If the data that's been retained for that longest time frame is exceeded, the documents similar to a time frame is often deleted instantly. On top of that, when data is segmented In accordance with time periods, it gets to be much simpler to realize multi-level storage and reduce storage charges further more.

TDengine offers abundant building resources for customers to build on TDengine. Stick to the links beneath to search out your required connectors and appropriate documentation.

End users can discover extra information regarding directories mounted on the technique while in the Listing and files section.

TDengine includes a handful of components like taosAdapter developed by Go language. Please make reference to golang.org Formal documentation for golang setting set up.

This informative article presents a primary overview of MQTT, the most often utilized messaging protocol in IoT scenarios.

Legitimate go.mod file The Go module system was introduced in Go 1.11 and is also the Formal dependency management Alternative for Go. Redistributable license Redistributable licenses area minimal limits on how software package can be employed, modified, and redistributed. Tagged Model Modules with tagged variations give importers more predictable builds.

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Hold: specifies enough time for which facts is retained. Enter a price among 1 and 365000. read more The default value is 3650. The value with the Retain parameter have to be better than or equivalent to the value in the Period parameter. TDengine immediately deletes details that's older than the worth from the KEEP parameter.

Significant Efficiency: TDengine is the one time-series database to solve the significant cardinality issue to assist billions of knowledge selection factors when out accomplishing other time-collection databases for knowledge ingestion, querying and details compression.