I have 2 tables:
TABLE 1
id      date_measured    value 1
1       01/01/2017       5
1       02/20/2017       6
1       04/01/2017       5
2       03/02/2017       5
2       04/02/2017       3
TABLE 2
id      date_measured    value 2
1       01/06/2017       5
1       03/01/2017       6
2       02/01/2017       5
2       03/09/2017       7
2       04/05/2017       4
I want to join it such that each id matches and the closest date matches so:
id      date_measured1     value 1      date_measured2      value 2
1       01/01/2017         5            01/06/2017          5
1       02/20/2017         6            03/01/2017          6
2       02/01/2017         5            02/01/2017          5
2       03/02/2017         5            03/09/2017          7
2       04/02/2017         3            04/05/2017          4
etc. IE for each id for each date measured take the closest measured date in the other table and make it a row. Something closeish to
 SELECT *
 FROM table1 a
 INNER JOIN table2 b
 ON a.id = b.id
       AND <date from a is closest date from b>
But I have no idea how to do the second part. Any suggestions?
In standard SQL, you can get the date using a correlated subquery:
select t1.*,
       (select t2.date_measured
        from table2 t2
        where t2.id = t1.id
        order by abs(t2.date_measured - t1.date_measured) asc
        fetch first 1 row only
       ) as t2_date_measured
from table1 t1;
You can then join back to table2 to get additional information from that row.
The above is generic SQL (not necessarily standard SQL).  Date/time functions tend to be peculiar to each database; so - may not work for the difference.  Not all databases support fetch first 1 row only, but almost all support some mechanism for doing the same thing.
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