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Hongze Cheng 2021-10-31 13:25:09 +08:00
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docs/user_manual/Small_Materialized_Aggrates.md
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@ -10,13 +10,12 @@ There are two kinds of SMA in TDengine:
```plantuml ```plantuml
@startmindmap mind_map_test @startmindmap mind_map_test
* SMA * SMA
** Block SMA ** Block-wise SMA
** Time-Range SMA ** Time-range-wise SMA
@endmindmap @endmindmap
``` ``` -->
-->
![SMA in TDengine 3.0](http://www.plantuml.com/plantuml/png/Km02X-AInAAItCoybDp40WKG7Gzan9Ua5fTmWUIr589z7I4iBGMddFpaR6I1aCpSLDsWnBpqLBYeGsfU2jGu0000)
![SMA in TDengine 3.0](http://www.plantuml.com/plantuml/png/Kr1GK70eBaaiAidDp4l9JInG0D7nG4PyIMfn2HTGMa5B8TZN4SBIKd3AoK_ErYtFB4v55Wt9p4tLBKhCIqz5bN981HeACHW0)
## Block-wise SMA ## Block-wise SMA
Block-wise SMA is created by default when the data are committed. Since time-series data are saved as block data in files, a corresponding SMA is create when the data block is written. The default block-wise SMA includes: Block-wise SMA is created by default when the data are committed. Since time-series data are saved as block data in files, a corresponding SMA is create when the data block is written. The default block-wise SMA includes:
1. sum(*) 1. sum(*)