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For the time being, TDengine server supports jogging on Linux/Windows/macOS methods. Any application may pick the RESTful interface provided by taosAdapter to connect the taosd assistance .

Gartner disclaims all warranties, expressed or implied, with regard to this exploration, which includes any warranties of merchantability or fitness for a specific intent.

Retain: specifies enough time for which info is retained. Enter a value involving 1 and 365000. The default value is 3650. The value from the Preserve parameter has to be bigger than or equal to the worth from the DURATION parameter. TDengine mechanically deletes info that's more mature than the value with the Maintain parameter.

TDengine Enterprise Version is really a carrier-grade merchandise that can meet the problems of huge knowledge with remarkable scalability, uptime, performance, and agility. Together with capabilities while in the Local community Edition, it incorporates the following:

在数据完全落盘后，我们又比较了一下三个系统在不同场景下的磁盘空间占用情况。

This short article compares the characteristics of InfluxDB vs. TDengine to help you determine which time-collection database is very best for you personally.

You may run the bash script Make.sh to construct both equally TDengine and taosTools including taosBenchmark and taosdump as underneath:

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Considering that the restful interface is stateless, the use db syntax will never function, you must place the db name into the sql statement, e.

Setting up from source code may even configure service management for TDengine.End users can also opt for to setup from packages for it.

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For your question of the information of just one information selection place, horizontal scaling is clear. The greater nodes there are, the greater the throughput amount. For more info aggregation queries, the question request will be sent to your corresponding vnodes very first, the vnodes will complete the aggregation operation, then the customer will combination the question outcomes from many vnodes for a 2nd time. Because the number of vnodes is limited, aggregation queries demand minor computation to the customer side, so the horizontal scalability capacity of aggregation queries is achieved.

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