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admin:indexing:activecounts:sql [2011/01/21 16:32]
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admin:indexing:activecounts:sql [2016/06/28 22:38] (current)
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 +~~NOTOC~~
 {{page>:​top_add&​nofooter&​noeditbtn}} {{page>:​top_add&​nofooter&​noeditbtn}}
  
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 First, the user requested to see the states and their counts: First, the user requested to see the states and their counts:
  
 +<​code>​
   select ​       STATE, count(*)   select ​       STATE, count(*)
     from        LIST     from        LIST
     group by    STATE;     group by    STATE;
 +</​code>​
  
 The user selected the states in the Western United States, and then requested to see the Genders and their counts: The user selected the states in the Western United States, and then requested to see the Genders and their counts:
  
 +<​code>​
   select ​       GENDER, count(*)   select ​       GENDER, count(*)
     from        LIST     from        LIST
     where       STATE in ('​AZ','​CA','​CO','​NM','​OR','​UT','​WA'​)     where       STATE in ('​AZ','​CA','​CO','​NM','​OR','​UT','​WA'​)
     group by    GENDER;     group by    GENDER;
 +</​code>​
  
 The user selected the Women in the Western United States, and then requested to see the Educations and their counts: The user selected the Women in the Western United States, and then requested to see the Educations and their counts:
  
 +<​code>​
   select ​       EDUCATION, count(*)   select ​       EDUCATION, count(*)
     from        LIST     from        LIST
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                 GENDER = '​F'​                 GENDER = '​F'​
     group by    EDUCATION;     group by    EDUCATION;
 +</​code>​
  
 The user selected those people with graduate degrees, and may have continued narrowing his search.  ​ The user selected those people with graduate degrees, and may have continued narrowing his search.  ​
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 As you can see, these SQL statements simple request counts that are filtered by the criteria entered so far, grouped by the next value they want to see.  The simplicity of this approach allows it to be more easily integrated into an application. As you can see, these SQL statements simple request counts that are filtered by the criteria entered so far, grouped by the next value they want to see.  The simplicity of this approach allows it to be more easily integrated into an application.
  
-=== More Complex SQL ===+==== More Complex SQL ====
  
-The actual SQL statements for the example on the previous page was slightly more complex, only in that it referenced ​dimension tables to provide descriptions rather than codes. ​ The actual SQL statements are as follows:+The actual SQL statements for the example on the previous page was slightly more complex, only in that it references ​dimension tables to provide descriptions rather than codes. ​ The actual SQL statements are as follows:
  
 First, the presentation of the States: First, the presentation of the States:
  
 +<​code>​
   select ​       STATES.DESCRIPTION,​   select ​       STATES.DESCRIPTION,​
                 LIST.STATE,                 LIST.STATE,
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     group by    STATES.DESCRIPTION,​     group by    STATES.DESCRIPTION,​
                 LIST.STATE;                 LIST.STATE;
 +</​code>​
  
 Notice that the DESCRIPTION column was retrieved for presentation,​ and the STATE column was retrieved for inclusion in future criteria. Notice that the DESCRIPTION column was retrieved for presentation,​ and the STATE column was retrieved for inclusion in future criteria.
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 Second, the presentation of the Genders: Second, the presentation of the Genders:
  
 +<​code>​
   select ​       GENDERS.DESCRIPTION,​   select ​       GENDERS.DESCRIPTION,​
                 LIST.GENDER,​                 LIST.GENDER,​
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     group by    GENDERS.DESCRIPTION,​     group by    GENDERS.DESCRIPTION,​
                 LIST.GENDER;​                 LIST.GENDER;​
 +</​code>​
  
 Third, the presentation of the Educations: Third, the presentation of the Educations:
    
 +<​code>​
   select ​       $ifnull(EDUCATION.DESCRIPTION,​ case LIST.EDUCATION   select ​       $ifnull(EDUCATION.DESCRIPTION,​ case LIST.EDUCATION
                   when ' ' then 'Did not specify'​                   when ' ' then 'Did not specify'​
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                 LIST.EDUCATION                 LIST.EDUCATION
     order by    LIST.EDUCATION;​     order by    LIST.EDUCATION;​
 +</​code>​
  
 Notice that this SQL statement is more complex, involving $IFNULL functions and Left Outer Joins. ​ These were beneficial because not every row in the LIST table had a value in the EDUCATION column. ​ This SQL would be the standard approach for obtaining the descriptions for those entries that did have a value. ​ This example shows that the SQL can be more complex and still be used in ActiveCounts. Notice that this SQL statement is more complex, involving $IFNULL functions and Left Outer Joins. ​ These were beneficial because not every row in the LIST table had a value in the EDUCATION column. ​ This SQL would be the standard approach for obtaining the descriptions for those entries that did have a value. ​ This example shows that the SQL can be more complex and still be used in ActiveCounts.
 
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