try
select from_unixtime(dateTime), * from archive where 1;      for MySQL and 
select datetime(dateTime, 'unixepoch', 'local'), * from archive where 1;   
  for SQLite

Should help you on the way



On Tuesday, 1 August 2017 10:10:11 UTC+3, David Schulz wrote:

> I seem to have weewx data spread across both a MySQL (MariaDB) database as 
> well as the local SQLite database.
>
> Why do I think this?  I have yearly summaries going back to 2014, but 
> there are big missing patches.  For example, I have data for May 2014, Jan 
> 2015, Nov, Dec 2016 and all of this year.  Weewx is currently writing a 
> SQLite database on the local machine.  I think I inadvertently switched to 
> SQLite in an upgrade by failing to read properly the messages about 
> applying the new config file, keeping the old etc... and reverted to the 
> default local database.
>
> I previously had setup weewx to write to a MySQL database on another 
> machine.  I believe the 'missing' data is in that database. So the plan is 
> to merge the 2 data sources, and then reconfigure weewx to write to the 
> MySQL server.  
>
> The problem I am having is working with the epoch unix integer date and 
> time data.  I'd really like to be able to scan through the data and confirm 
> my suspicions that the MySQL data fills the missing gaps in the SQLite 
> data.  I've tried half a dozen different database tools in the hope one has 
> an option to display the epoch date and time in a human readable format I 
> can work with.  Anybody got any recommendations?
>
> Of course I've seen many, many query examples to convert a single row of 
> data from epoch to a human readable format.  What I really need though is 
> to be able to scan down the table data and see what I have in each 
> location.  Or maybe I am thinking about the problem the wrong way?
>
> Maybe a better approach is to rename the existing weewx database in MySQL 
> to avoid it being overwritten and then use wee_database --transfer to at 
> least get everything in MySQL and then work on merging the legacy data?
>
> Any advice from wiser heads will be appreciated.
>

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