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POHourly report for data warehouse
 

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    <p>I have the following tables in my Postgresql 9.1 database</p> <pre><code> SELECT * from hour_dimension limit 10; id | date | hour - -+------------+------ 1 | 2013-01-01 | 5 2 | 2013-01-01 | 6 3 | 2013-01-01 | 7 4 | 2013-01-01 | 8 5 | 2013-01-01 | 9 6 | 2013-01-01 | 10 7 | 2013-01-01 | 11 8 | 2013-01-01 | 12 9 | 2013-01-01 | 13 10 | 2013-01-01 | 14 SELECT shop_id, trans_date_time::date as date, extract(hour from trans_date_time) as hour, round(amount_in_cents/100.1,2) as amount FROM transaction LIMIT 10; shop_id | date | hour | amount --------+------------+------+-------- 2877 | 2013-01-02 | 9 | 3.50 2877 | 2013-01-02 | 10 | 4.00 2877 | 2013-01-02 | 14 | 4.00 2877 | 2013-01-03 | 11 | 1.40 2877 | 2013-01-03 | 11 | 4.50 2877 | 2013-01-03 | 12 | 3.00 2877 | 2013-01-03 | 13 | 2.00 2877 | 2013-01-03 | 13 | 2.00 2877 | 2013-01-03 | 14 | 1.00 2877 | 2013-01-04 | 9 | 4.00 SELECT id from shop limit 3; id ------ 2877 2878 2879 </code></pre> <p>I am trying to write a data-warehouse type query so I can generate (and store) a daily report describing how each shop has performed on an hourly basis, similar to the following:</p> <pre><code> date | hour | shop_id | amount -----------+------+----------+-------- 2013-01-01 | 5 | 2877 | 0.00 2013-01-01 | 6 | 2877 | 0.00 2013-01-01 | 7 | 2877 | 0.00 2013-01-01 | 8 | 2877 | 0.00 2013-01-01 | 9 | 2877 | 3.50 2013-01-01 | 10 | 2877 | 4.00 2013-01-01 | 11 | 2877 | 5.90 2013-01-01 | 12 | 2877 | 3.00 2013-01-01 | 13 | 2877 | 4.00 2013-01-01 | 14 | 2877 | 1.00 </code></pre> <p>SAMPLE QUERY:</p> <pre><code>SELECT hd.date as date, hd.hour as hour, shop_id, round(sum(case when amount is null then 0 else amount end),2) as amount FROM ( SELECT shop_id, trans_date_time::date as date, extract(hour from trans_date_time) as hour, amount_in_cents/100.0 as amount FROM transaction ) x RIGHT JOIN hour_dimension hd ON (hd.date = x.date AND hd.hour = x.hour) AND shop_id = 2877 where hd.date = '2013-01-10' GROUP BY hd.date, hd.hour, shop_id ORDER by hd.date, hd.hour LIMIT 10; </code></pre>
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    1. USGlicious
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    1. COPosting SQL DDL is better than posting tabular output. We can paste DDL directly into a SQL window. With tabular output, we have to reverse engineer stuff, and might miss something. (I missed the alias for "amount", which I left uncorrected in my answer below.)
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      1. USMike Sherrill 'Cat Recall'
 

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