Vertica Analytics Platform Version 9.2.x Documentation

COUNT [Aggregate]

Returns as a BIGINT the number of rows in each group where the expression is not NULL. If the query has no GROUP BY clause, COUNT returns the number of table rows.

The COUNT aggregate function differs from the COUNT analytic function, which returns the number over a group of rows within a window.

Behavior Type

Immutable

Syntax

COUNT ( [ * ] [ ALL | DISTINCT ] expression )

Parameters

*

Specifies to count all rows in the specified table or each group.

ALL | DISTINCT

Specifies how to count rows where expression has a non-null value:

  • ALL (default): Counts all rows where expression evaluates to a non-null value.
  • DISTINCT: Counts all rows where expression evaluates to a distinct non-null value.
expression The column or expression whose non-null values are counted.

Examples

The following query returns the number of distinct values in the primary_key column of the date_dimension table:

=> SELECT COUNT (DISTINCT date_key) FROM date_dimension;
 COUNT 
-------
  1826
(1 row)

This example returns all distinct values of evaluating the expression x+y for all inventory_fact records.

=> SELECT COUNT (DISTINCT date_key + product_key) FROM inventory_fact;
 COUNT 
-------
 21560
(1 row)

You can create an equivalent query using the LIMIT keyword to restrict the number of rows returned:

=> SELECT COUNT(date_key + product_key) FROM inventory_fact GROUP BY date_key LIMIT 10;
 COUNT 
-------
   173
    31
   321
   113
   286
    84
   244
   238
   145
   202
(10 rows)

This query returns the number of distinct values of date_key in all records with the specific distinct product_key value.

=> SELECT product_key, COUNT (DISTINCT date_key)  FROM  inventory_fact 
   GROUP BY product_key LIMIT 10;
 product_key | count 
-------------+-------
           1 |    12
           2 |    18
           3 |    13
           4 |    17
           5 |    11
           6 |    14
           7 |    13
           8 |    17
           9 |    15
          10 |    12
(10 rows)

This query counts each distinct product_key value in inventory_fact table with the constant 1.

=> SELECT product_key, COUNT (DISTINCT product_key) FROM inventory_fact 
   GROUP BY product_key LIMIT 10; 
 product_key | count 
-------------+-------
           1 |     1
           2 |     1
           3 |     1
           4 |     1
           5 |     1
           6 |     1
           7 |     1
           8 |     1
           9 |     1
          10 |     1
(10 rows)

This query selects each distinct date_key value and counts the number of distinct product_key values for all records with the specific product_key value. It then sums the qty_in_stock values in all records with the specific product_key value and groups the results by date_key.

=> SELECT date_key, COUNT (DISTINCT product_key), SUM(qty_in_stock) FROM inventory_fact 
   GROUP BY date_key LIMIT 10;
 date_key | count |  sum   
----------+-------+--------
        1 |   173 |  88953
        2 |    31 |  16315
        3 |   318 | 156003
        4 |   113 |  53341
        5 |   285 | 148380
        6 |    84 |  42421
        7 |   241 | 119315
        8 |   238 | 122380
        9 |   142 |  70151
       10 |   202 |  95274
(10 rows)

This query selects each distinct product_key value and then counts the number of distinct date_key values for all records with the specific product_key value. It also counts the number of distinct warehouse_key values in all records with the specific product_key value.

=> SELECT product_key, COUNT (DISTINCT date_key), COUNT (DISTINCT warehouse_key) FROM inventory_fact
   GROUP BY product_key LIMIT 15;
 product_key | count | count 
-------------+-------+-------
           1 |    12 |    12
           2 |    18 |    18
           3 |    13 |    12
           4 |    17 |    18
           5 |    11 |     9
           6 |    14 |    13
           7 |    13 |    13
           8 |    17 |    15
           9 |    15 |    14
          10 |    12 |    12
          11 |    11 |    11
          12 |    13 |    12
          13 |     9 |     7
          14 |    13 |    13
          15 |    18 |    17
(15 rows)

This query selects each distinct product_key value, counts the number of distinct date_key and warehouse_key values for all records with the specific product_key value, and then sums all qty_in_stock values in records with the specific product_key value. It then returns the number of product_version values in records with the specific product_key value.

=> SELECT product_key, COUNT (DISTINCT date_key),
      COUNT (DISTINCT warehouse_key),
      SUM (qty_in_stock),
      COUNT (product_version)
      FROM inventory_fact GROUP BY product_key LIMIT 15;
 product_key | count | count |  sum  | count 
-------------+-------+-------+-------+-------
           1 |    12 |    12 |  5530 |    12
           2 |    18 |    18 |  9605 |    18
           3 |    13 |    12 |  8404 |    13
           4 |    17 |    18 | 10006 |    18
           5 |    11 |     9 |  4794 |    11
           6 |    14 |    13 |  7359 |    14
           7 |    13 |    13 |  7828 |    13
           8 |    17 |    15 |  9074 |    17
           9 |    15 |    14 |  7032 |    15
          10 |    12 |    12 |  5359 |    12
          11 |    11 |    11 |  6049 |    11
          12 |    13 |    12 |  6075 |    13
          13 |     9 |     7 |  3470 |     9
          14 |    13 |    13 |  5125 |    13
          15 |    18 |    17 |  9277 |    18
(15 rows)

The following example returns the number of warehouses from the warehouse dimension table:

=> SELECT COUNT(warehouse_name) FROM warehouse_dimension;
 COUNT 
-------
   100
(1 row)

This next example returns the total number of vendors:

=> SELECT COUNT(*) FROM vendor_dimension;
 COUNT 
-------
    50
(1 row)