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What are the knowledge points of Apache TDB performance optimization

2025-02-27 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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This article introduces the relevant knowledge of "what are the knowledge points of Apache TDB performance optimization". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

About Storage Group

Each storage group is now a relatively independent engine, and read-write locks are at the storage group level. Therefore, by changing the storage group from 1 to 10, read and write can basically grow by 8 times. It is recommended to set CPU kernel for several storage groups for a single IoTDB instance. The more storage groups, the higher the parallelism. We then intend to lower the lock granularity to the equipment layer.

Equipment

The concept of device is not defined as shown in the SQL statement, but the penultimate layer is set as the device by default when processing on the server side, which makes it easy to ignore this concept. Let's talk about what the equipment affects.

The main results are as follows: (1) the granularity of distinguishing sequential data from disordered data is based on equipment. For example, if a device writes data with a timestamp of 1-10 in memory (no matter which measuring point is written, the timestamp will be counted on the device), the disk falls, and the timestamp is written again.

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