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    <title>OpenText Analytics Database 26.2.x – Sample scripts</title>
    <link>/en/getting-started/appendix/sample-scripts/</link>
    <description>Recent content in Sample scripts on OpenText Analytics Database 26.2.x</description>
    <generator>Hugo -- gohugo.io</generator>
    
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    <item>
      <title>Getting-Started: vmart_query_01.sql</title>
      <link>/en/getting-started/appendix/sample-scripts/vmart-query-01-sql/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>/en/getting-started/appendix/sample-scripts/vmart-query-01-sql/</guid>
      <description>
        
        
        &lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt;-- vmart_query_01.sql
-- FROM clause subquery
-- Return the values for five products with the
-- lowest-fat content in the Dairy department
SELECT fat_content
FROM (
  SELECT DISTINCT fat_content
  FROM product_dimension
  WHERE department_description
  IN (&amp;#39;Dairy&amp;#39;) ) AS food
  ORDER BY fat_content
  LIMIT 5;
&lt;/code&gt;&lt;/pre&gt;&lt;p&gt;&lt;strong&gt;Output&lt;/strong&gt;&lt;/p&gt;
&lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt; fat_content
-------------
          80
          81
          82
          83
          84
(5 rows)
&lt;/code&gt;&lt;/pre&gt;
      </description>
    </item>
    
    <item>
      <title>Getting-Started: vmart_query_02.sql</title>
      <link>/en/getting-started/appendix/sample-scripts/vmart-query-02-sql/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>/en/getting-started/appendix/sample-scripts/vmart-query-02-sql/</guid>
      <description>
        
        
        &lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt;-- vmart_query_02.sql
-- WHERE clause subquery
-- Asks for all orders placed by stores located in Massachusetts
-- and by vendors located elsewhere before March 1, 2003:
SELECT order_number, date_ordered
FROM store.store_orders_fact orders
WHERE orders.store_key IN (
  SELECT store_key
  FROM store.store_dimension
  WHERE store_state = &amp;#39;MA&amp;#39;)
    AND orders.vendor_key NOT IN (
  SELECT vendor_key
  FROM public.vendor_dimension
  WHERE vendor_state = &amp;#39;MA&amp;#39;)
    AND date_ordered &amp;lt; &amp;#39;2012-03-01&amp;#39;;
&lt;/code&gt;&lt;/pre&gt;&lt;p&gt;&lt;strong&gt;Output&lt;/strong&gt;&lt;/p&gt;
&lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt;order_number | date_ordered
-------------+--------------
       53019 | 2012-02-10
      222168 | 2012-02-05
      160801 | 2012-01-08
      106922 | 2012-02-07
      246465 | 2012-02-10
      234218 | 2012-02-03
      263119 | 2012-01-04
       73015 | 2012-01-01
      233618 | 2012-02-10
       85784 | 2012-02-07
      146607 | 2012-02-07
      296193 | 2012-02-05
       55052 | 2012-01-05
      144574 | 2012-01-05
      117412 | 2012-02-08
      276288 | 2012-02-08
      185103 | 2012-01-03
      282274 | 2012-01-01
      245300 | 2012-02-06
      143526 | 2012-01-04
       59564 | 2012-02-06
...
&lt;/code&gt;&lt;/pre&gt;
      </description>
    </item>
    
    <item>
      <title>Getting-Started: vmart_query_03.sql</title>
      <link>/en/getting-started/appendix/sample-scripts/vmart-query-03-sql/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>/en/getting-started/appendix/sample-scripts/vmart-query-03-sql/</guid>
      <description>
        
        
        &lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt;-- vmart_query_03.sql
-- noncorrelated subquery
-- Requests female and male customers with the maximum
-- annual income from customers
SELECT customer_name, annual_income
FROM public.customer_dimension
WHERE (customer_gender, annual_income) IN (
  SELECT customer_gender, MAX(annual_income)
  FROM public.customer_dimension
  GROUP BY customer_gender);
&lt;/code&gt;&lt;/pre&gt;&lt;p&gt;&lt;strong&gt;Output&lt;/strong&gt;&lt;/p&gt;
&lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt;  customer_name   | annual_income
------------------+---------------
 James M. McNulty |        999979
 Emily G. Vogel   |        999998
(2 rows)
&lt;/code&gt;&lt;/pre&gt;
      </description>
    </item>
    
    <item>
      <title>Getting-Started: vmart_query_04.sql</title>
      <link>/en/getting-started/appendix/sample-scripts/vmart-query-04-sql/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>/en/getting-started/appendix/sample-scripts/vmart-query-04-sql/</guid>
      <description>
        
        
        &lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt;-- vmart_query_04.sql
-- IN predicate
-- Find all products supplied by stores in MA
SELECT DISTINCT s.product_key, p.product_description
FROM store.store_sales_fact s, public.product_dimension p
WHERE s.product_key = p.product_key
AND s.product_version = p.product_version AND s.store_key IN (
  SELECT store_key
  FROM store.store_dimension
  WHERE store_state = &amp;#39;MA&amp;#39;)
ORDER BY s.product_key;
&lt;/code&gt;&lt;/pre&gt;&lt;p&gt;&lt;strong&gt;Output&lt;/strong&gt;&lt;/p&gt;
&lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt; product_key |          product_description
-------------+----------------------------------------
1 | Brand #1 butter
1 | Brand #2 bagels
2 | Brand #3 lamb
2 | Brand #4 brandy
2 | Brand #5 golf clubs
2 | Brand #6 chicken noodle soup
3 | Brand #10 ground beef
3 | Brand #11 vanilla ice cream
3 | Brand #7 canned chicken broth
3 | Brand #8 halibut
3 | Brand #9 camera case
4 | Brand #12 rash ointment
4 | Brand #13 low fat milk
4 | Brand #14 chocolate chip cookies
4 | Brand #15 silver polishing cream
5 | Brand #16 cod
5 | Brand #17 band aids
6 | Brand #18 bananas
6 | Brand #19 starch
6 | Brand #20 vegetable soup
6 | Brand #21 bourbon
...
&lt;/code&gt;&lt;/pre&gt;
      </description>
    </item>
    
    <item>
      <title>Getting-Started: vmart_query_05.sql</title>
      <link>/en/getting-started/appendix/sample-scripts/vmart-query-05-sql/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>/en/getting-started/appendix/sample-scripts/vmart-query-05-sql/</guid>
      <description>
        
        
        &lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt;-- vmart_query_05.sql
-- EXISTS predicate
-- Get a list of all the orders placed by all stores on
-- January 2, 2003 for the vendors with records in the
-- vendor_dimension table
SELECT store_key, order_number, date_ordered
FROM store.store_orders_fact
WHERE EXISTS (
   SELECT 1
   FROM public.vendor_dimension
   WHERE public.vendor_dimension.vendor_key = store.store_orders_fact.vendor_key)
   AND date_ordered = &amp;#39;2012-01-02&amp;#39;;
&lt;/code&gt;&lt;/pre&gt;&lt;p&gt;&lt;strong&gt;Output&lt;/strong&gt;&lt;/p&gt;
&lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt; store_key | order_number | date_ordered
-----------+--------------+--------------
        98 |       151837 | 2012-01-02
       123 |       238372 | 2012-01-02
       242 |       263973 | 2012-01-02
       150 |       226047 | 2012-01-02
       247 |       232273 | 2012-01-02
       203 |       171649 | 2012-01-02
       129 |        98723 | 2012-01-02
        80 |       265660 | 2012-01-02
       231 |       271085 | 2012-01-02
       149 |        12169 | 2012-01-02
       141 |       201153 | 2012-01-02
         1 |        23715 | 2012-01-02
       156 |        98182 | 2012-01-02
        44 |       229465 | 2012-01-02
       178 |       141869 | 2012-01-02
       134 |        44410 | 2012-01-02
       141 |       129839 | 2012-01-02
       205 |        54138 | 2012-01-02
       113 |        63358 | 2012-01-02
        99 |        50142 | 2012-01-02
        44 |       131255 | 2012-01-02
...
&lt;/code&gt;&lt;/pre&gt;
      </description>
    </item>
    
    <item>
      <title>Getting-Started: vmart_query_06.sql</title>
      <link>/en/getting-started/appendix/sample-scripts/vmart-query-06-sql/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>/en/getting-started/appendix/sample-scripts/vmart-query-06-sql/</guid>
      <description>
        
        
        &lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt;-- vmart_query_06.sql
-- EXISTS predicate
-- Orders placed by the vendor who got the best deal
-- on January 4, 2004
SELECT store_key, order_number, date_ordered
FROM store.store_orders_fact ord, public.vendor_dimension vd
WHERE ord.vendor_key = vd.vendor_key
AND vd.deal_size IN (
   SELECT MAX(deal_size)
   FROM public.vendor_dimension)
AND date_ordered = &amp;#39;2013-01-04&amp;#39;;
&lt;/code&gt;&lt;/pre&gt;&lt;p&gt;&lt;strong&gt;Output&lt;/strong&gt;&lt;/p&gt;
&lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt; store_key | order_number | date_ordered
-----------+--------------+--------------
        45 |       202416 | 2013-01-04
        24 |       250295 | 2013-01-04
       121 |       251417 | 2013-01-04
       198 |        75716 | 2013-01-04
       166 |        36008 | 2013-01-04
        27 |       150241 | 2013-01-04
       148 |       182207 | 2013-01-04
         9 |       188567 | 2013-01-04
       113 |        66017 | 2013-01-04
...
&lt;/code&gt;&lt;/pre&gt;
      </description>
    </item>
    
    <item>
      <title>Getting-Started: vmart_query_07.sql</title>
      <link>/en/getting-started/appendix/sample-scripts/vmart-query-07-sql/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>/en/getting-started/appendix/sample-scripts/vmart-query-07-sql/</guid>
      <description>
        
        
        &lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt;-- vmart_query_07.sql
-- Multicolumn subquery
-- Which products have the highest cost,
-- grouped by category and department
SELECT product_description, sku_number, department_description
FROM public.product_dimension
WHERE (category_description, department_description, product_cost) IN (
   SELECT category_description, department_description,
   MAX(product_cost) FROM product_dimension
   GROUP BY category_description, department_description);
&lt;/code&gt;&lt;/pre&gt;&lt;p&gt;Output&lt;/p&gt;
&lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt;product_description        |      sku_number       |   department_description
---------------------------+-----------------------+---------------------------------
 Brand #601 steak           | SKU-#601             | Meat
 Brand #649 brooms          | SKU-#649             | Cleaning supplies
 Brand #677 veal            | SKU-#677             | Meat
 Brand #1371 memory card    | SKU-#1371            | Photography
 Brand #1761 catfish        | SKU-#1761            | Seafood
 Brand #1810 frozen pizza   | SKU-#1810            | Frozen Goods
 Brand #1979 canned peaches | SKU-#1979            | Canned Goods
 Brand #2097 apples         | SKU-#2097            | Produce
 Brand #2287 lens cap       | SKU-#2287            | Photography
...
&lt;/code&gt;&lt;/pre&gt;
      </description>
    </item>
    
    <item>
      <title>Getting-Started: vmart_query_08.sql</title>
      <link>/en/getting-started/appendix/sample-scripts/vmart-query-08-sql/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>/en/getting-started/appendix/sample-scripts/vmart-query-08-sql/</guid>
      <description>
        
        
        &lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt;-- vmart_query_08.sql
-- between online_sales_fact and online_page_dimension
SELECT page_description, page_type, start_date, end_date
FROM online_sales.online_sales_fact f, online_sales.online_page_dimension d
WHERE f.online_page_key = d.online_page_key
AND page_number IN
   (SELECT MAX(page_number)
     FROM online_sales.online_page_dimension)
AND page_type = &amp;#39;monthly&amp;#39; AND start_date = &amp;#39;2012-06-02&amp;#39;;
&lt;/code&gt;&lt;/pre&gt;&lt;p&gt;&lt;strong&gt;Output&lt;/strong&gt;&lt;/p&gt;
&lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt;      page_description     | page_type | start_date | end_date
---------------------------+-----------+------------+-----------
Online Page Description #1 | monthly   | 2012-06-02 | 2012-06-11
Online Page Description #1 | monthly   | 2012-06-02 | 2012-06-11
Online Page Description #1 | monthly   | 2012-06-02 | 2012-06-11
Online Page Description #1 | monthly   | 2012-06-02 | 2012-06-11
Online Page Description #1 | monthly   | 2012-06-02 | 2012-06-11
Online Page Description #1 | monthly   | 2012-06-02 | 2012-06-11
Online Page Description #1 | monthly   | 2012-06-02 | 2012-06-11
Online Page Description #1 | monthly   | 2012-06-02 | 2012-06-11
Online Page Description #1 | monthly   | 2012-06-02 | 2012-06-11
Online Page Description #1 | monthly   | 2012-06-02 | 2012-06-11
Online Page Description #1 | monthly   | 2012-06-02 | 2012-06-11
Online Page Description #1 | monthly   | 2012-06-02 | 2012-06-11
(12 rows)
&lt;/code&gt;&lt;/pre&gt;
      </description>
    </item>
    
    <item>
      <title>Getting-Started: vmart_query_09.sql</title>
      <link>/en/getting-started/appendix/sample-scripts/vmart-query-09-sql/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>/en/getting-started/appendix/sample-scripts/vmart-query-09-sql/</guid>
      <description>
        
        
        &lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt;-- vmart_query_09.sql
-- Equi join
-- Joins online_sales_fact table and the call_center_dimension
-- table with the ON clause
SELECT sales_quantity, sales_dollar_amount, transaction_type, cc_name
FROM online_sales.online_sales_fact
INNER JOIN online_sales.call_center_dimension
ON (online_sales.online_sales_fact.call_center_key
      = online_sales.call_center_dimension.call_center_key
     AND sale_date_key = 156)
ORDER BY sales_dollar_amount DESC;
&lt;/code&gt;&lt;/pre&gt;&lt;p&gt;Output&lt;/p&gt;
&lt;pre tabindex=&#34;0&#34;&gt;&lt;code&gt; sales_quantity | sales_dollar_amount | transaction_type |      cc_name
----------------+---------------------+------------------+-------------------
              7 |                 589 | purchase         | Central Midwest
              8 |                 589 | purchase         | South Midwest
              8 |                 589 | purchase         | California
              1 |                 587 | purchase         | New England
              1 |                 586 | purchase         | Other
              1 |                 584 | purchase         | New England
              4 |                 584 | purchase         | New England
              7 |                 581 | purchase         | Mid Atlantic
              5 |                 579 | purchase         | North Midwest
              8 |                 577 | purchase         | North Midwest
              4 |                 577 | purchase         | Central Midwest
              2 |                 575 | purchase         | Hawaii/Alaska
              4 |                 573 | purchase         | NY Metro
              4 |                 572 | purchase         | Central Midwest
              1 |                 570 | purchase         | Mid Atlantic
              9 |                 569 | purchase         | Southeastern
              1 |                 569 | purchase         | NY Metro
              5 |                 567 | purchase         | Other
              7 |                 567 | purchase         | Hawaii/Alaska
              9 |                 567 | purchase         | South Midwest
              1 |                 566 | purchase         | New England
...
&lt;/code&gt;&lt;/pre&gt;
      </description>
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