James David Smith wrote
> INSERT INTO test_data VALUES
> ('1', '2012-01-01 07:00', '1'),
> ('1', '2012-01-01 07:01', '1'),
> ('1', '2012-01-01 07:02', '1'),
> ('1', '2012-01-01 07:03', NULL), -- null should be replaced with 1
> ('1', '2012-01-01 07:04', NULL), -- null should be replaced with 1
> ('1', '2012-01-01 07:05', '5'),
> ('1', '2012-01-01 07:06', '5'),
> ('1', '2012-01-01 07:07', '5'),
> ('1', '2012-01-01 07:08', NULL), -- null should be replaced with 5
> ('1', '2012-01-01 07:09', NULL), -- null should be replaced with 5
> ('1', '2012-01-01 07:10', NULL), -- null should be replaced with 5
> ('1', '2012-01-01 07:11', NULL), -- null should be replaced with 5
> ('2', '2013-05-02 07:12', '24'),
> ('2', '2013-05-02 07:13', '24'),
> ('2', '2013-05-02 07:14', '24'),
> ('2', '2013-05-02 07:15', NULL), -- null should be replaced with 24
> ('2', '2013-05-02 07:16', NULL), -- null should be replaced with 24
> ('2', '2013-05-02 07:17', '44'),
> ('2', '2013-05-02 07:18', '44'),
> ('2', '2013-05-02 07:19', NULL), -- null should be replaced with 44
> ('2', '2013-05-02 07:20', '4'),
> ('2', '2013-05-02 07:21', '4'),
> ('2', '2013-05-02 07:22', '4');
This specific problem has two solutions.
1. Create a custom aggregate that maintains the last non-null value
encountered and returns it as a final value.
2. More slowly, but less complexly, use array_agg to capture all prior
values of the data in question. Then pass that array into a function that
unnests the array, removes the Nulls, reverses the order, and applies limit
1.
For both solutions you will need to construct a window clause with an order
by.
Examples exists in the mailing list archive. Recently I can recall Merlin
and myself posting these but cannot go find them at this moment.
David J.
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