Wow, I think this is very interesting to link relational model to our 
timeseries model.
Could you give some examples about how to map timeseries to tables and columns? 
In my brief study about Druid, it seems that for a particular measurement of 
thousands of devices, it may be a wild table with amount of columns?

在 2022/6/4 16:25,“陈振宇”<chenzhe...@tsinghua-eiri.org> 写入:

    I know the community has discussed several times about how to let IoTDB 
support standard SQL [1]. A naive perspective is that if we can convert IoTDB 
into a relational table schema, then we can use the ability of standard SQL to 
represent richful query semantics. 
    The current idea is to take reference in Apache Druid, which allows users 
define which column represents for the timestamp, which columns are dimensions 
(equals to iotdb's time series path, except for the last level of the path), 
and which are metrics (equals to iotdb's measurement)[2].
    If there is such an interface to let users define the above info (Druid 
uses a json to define that), then it is possible to transform the schema of 
IoTDB into a relational model. This would further optimize the Apache Calcite 
integration work previously attempt by the community, and enrich the query 
capacity of IoTDB.
    [1] 
https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Flists.apache.org%2Fthread%2Fgwrm4rly3jsz7zyxm8bwhr1yy4g13x65&amp;data=05%7C01%7C%7Cdc83a45018b34784cbeb08da4603d631%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637899279555596385%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=Qa361I1PeFQOC%2F2mxI6BTGUSeAkBrRb2krgZsahTViw%3D&amp;reserved=0
    [2] 
https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdruid.apache.org%2Fdocs%2F0.22.1%2Fingestion%2Fschema-design.html%23time-series-model&amp;data=05%7C01%7C%7Cdc83a45018b34784cbeb08da4603d631%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637899279555596385%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=DZDQPZUliOnsMwCzrOD%2Fq9p%2FKFHPR3Z1GC7rys7eyi8%3D&amp;reserved=0

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