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Home/ Questions/Q 9191771
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Editorial Team
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Editorial Team
Asked: June 17, 20262026-06-17T20:45:58+00:00 2026-06-17T20:45:58+00:00

I’m trying to optimize an SQL query. The problem is that it is very

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I’m trying to optimize an SQL query. The problem is that it is very slow! I’m working with sqlite and with medium sized datasets(20000row). My sql syntax look like this:

SELECT DISTINCT date(A.last_update) as lastUpdate,
(SELECT COUNT(*) FROM bgp_update AS B WHERE date(B.last_update) = date(A.last_update) AND B.validity = 1) AS valid,
(SELECT COUNT(*) FROM bgp_update AS B WHERE date(B.last_update) = date(A.last_update) AND B.validity = 0) AS invalid,
(SELECT COUNT(*) FROM bgp_update AS B WHERE date(B.last_update) = date(A.last_update) AND B.validity = -1) AS notFound
FROM (SELECT DISTINCT last_update FROM bgp_update ORDER BY last_update) AS A WHERE last_update BETWEEN '%var' and '%var2';

Below is an example of what do i have:

id   |     last_update   |  Validity

48   | 2009-1-6 18:34:38 |  notFound   
47   | 2009-1-6 18:34:38 |  valid   
46   | 2009-1-6 18:34:38 |  valid    
45   | 2009-1-3 18:34:38 |  invalid   
44   | 2009-1-3 18:34:38 |  invalid   
42   | 2009-1-4 18:34:38 |  notFound 
41   | 2009-1-4 18:34:38 |  notFound
48   | 2009-1-4 18:34:38 |  valid

And the query result would look like:

    Date   |  valid   |  invalid   |    notFound

  2009-1-3 |   0      |     2      |       0
  2009-1-4 |   1      |     0      |       2
  2009-1-6 |   2      |     0      |       1

I need this to generate a line graph out of it. The example would be: line chart!

But as I mentioned the query is very slow! How can i make it faster?

:::: 2. EDIT :::::

The previous descriptions I have simplified the problem. My table create statement look like this:

CREATE TABLE bgp_update
    (id INTEGER PRIMARY KEY,
    ip VARCHAR(64) NOT NULL,
    mask INTEGER NOT NULL,
    asn INTEGER NOT NULL,
    validity INTEGER NOT NULL,
    last_update TIMESTAMP DEFAULT CURRENT_TIMESTAMP)

As you can see my query only use the last_update and the validity fields.

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-06-17T20:46:00+00:00Added an answer on June 17, 2026 at 8:46 pm

    You could use sum over case statements, e.g.:

    select last_update,
      sum(case when validity=1 then 1 else 0 end) valid,
      sum(case when validity=0 then 1 else 0 end) invalid,
      sum(case when validity=-1 then 1 else 0 end) notfound
    from bgp_update
    where last_update between '1/1/2013' and '1/2/2013'
    group by last_update
    order by last_update
    

    SQL Fiddle

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