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POFastest way of summarizing sales based on today, this week, this month, this quarter this year?
 

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  1. POFastest way of summarizing sales based on today, this week, this month, this quarter this year?
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    <p>The following query returns a correct result but how do I get the same result faster? </p> <p>The goal is to output a table for tracking sellers progress by summarizing their sales today, this week, month and quarter.</p> <pre><code>SellerID Today ThisWeek ThisMonth ThisQuarter ----------- --------------------- --------------------- --------------------- --------------------- 1 400,00 700,00 900,00 900,00 2 950,00 1850,00 2650,00 2650,00 </code></pre> <p>My query:</p> <pre><code>CREATE TABLE #sales( [Price] MONEY, [Date] DATE, [SellerID] INT ) INSERT INTO #sales VALUES (100, '2012-01-01', 1), (200, '2012-04-01',1), (300, '2012-04-23',1), (400, '2012-04-27',1), (700, '2012-01-01', 2), (700, '2012-01-02', 2), (800, '2012-04-01',2), (900, '2012-04-23',2), (950, '2012-04-27',2) SELECT SellerID AS SellerID, SUM(CASE WHEN [Date] &gt;= DATEADD(DAY, DATEDIFF(DAY, 0, GETDATE()),0) THEN [Price] END) AS Today, SUM(CASE WHEN [Date] &gt;= DATEADD(WEEK, DATEDIFF(WEEK, 0, GETDATE()), 0) THEN [Price] END) AS ThisWeek, SUM(CASE WHEN [Date] &gt;= DATEADD(MONTH, DATEDIFF(MONTH, 0, GETDATE()), 0) THEN [Price] END) AS ThisMonth, SUM(CASE WHEN [Date] &gt;= DATEADD(QUARTER, DATEDIFF(QUARTER, 0, GETDATE()), 0) THEN [Price] END) AS ThisQuarter FROM #sales WHERE DATEPART(YEAR, [Date]) = DATEPART(YEAR, GETDATE()) GROUP BY SellerID </code></pre> <p>When executing the same query on a larger table this gets quite slow. Just removing the CASE-statements cuts the execution time by almost 50%.</p> <p>How can I achieve the same result in a faster and more efficient way?</p>
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    1. USJonas Stensved
    1. USJonas Stensved
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    1. COAs long as your `[Date]` column is indexed I think you already have the most efficient solution for querying transactional data. If you are hitting performance issues you may want to exlpore data warehousing.
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    2. COYes it's indexed. We're on SQL Azure which unfortunately is a bit limited at the moment. I also think it would be a better approach (+1).
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