A SELECT statement can consist of the following basic clauses.

• SELECT
• INTO
• FROM
• JOIN
• WHERE
• GROUP BY
• HAVING
• UNION
• ORDER BY
• LIMIT

SELECT Syntax

The following syntax diagram outlines the syntax supported by the SQL Server Analysis Services adapter:

SELECT {
  [ TOP <numeric_literal> | DISTINCT ]
  { 
    * 
    | { 
        <expression> [ [ AS ] <column_reference> ] 
        | { <table_name> | <correlation_name> } .* 
      } [ , ... ] 
  }
  [ INTO csv:// [ filename= ] <file_path> [ ;delimiter=tab ] ]
  { 
    FROM <table_reference> [ [ AS ] <identifier> ] 
  } [ , ... ]
  [ [ 
      INNER 
    ] JOIN <table_reference> [ ON <search_condition> ] [ [ AS ] <identifier> ] 
  ] [ ... ] 
  [ WHERE <search_condition> ]
  [ GROUP BY <column_reference> [ , ... ]
  [ HAVING <search_condition> ]
  [ UNION  [ ALL ] <select_statement> ]
  [ 
    ORDER BY 
    <column_reference> [ ASC | DESC ] [ NULLS FIRST | NULLS LAST ]
  ]
  [
    LIMIT <expression>
    [ 
      { OFFSET | , }
      <expression> 
    ]
  ] 
}

  <expression> ::=
    | <column_reference>
    | @ <parameter> 
    | ?
    | COUNT( * | { [ DISTINCT ] <expression> } )
    | { AVG | MAX | MIN | SUM | COUNT } ( <expression> ) 
    | NULLIF ( <expression> , <expression> ) 
    | COALESCE ( <expression> , ... ) 
    | CASE <expression>
        WHEN { <expression> | <search_condition> } THEN { <expression> | NULL } [ ... ]
    [ ELSE { <expression> | NULL } ]
      END 
    | <literal>
    | <sql_function> 

  <search_condition> ::= 
    {
      <expression> { = | IN | AND | OR | <> | >= | <= | > | < } [ <expression> ]
    } [ { AND | OR } ... ]

Examples

1. Return all columns:
   

   SELECT Country, Education FROM [AdventureWorksDW2012Multidimensional-SE].[Adventure Works].Customer

2. Rename a column:
   

   SELECT "Education" AS MY_Education FROM [AdventureWorksDW2012Multidimensional-SE].[Adventure Works].Customer

3. Cast a column's data as a different data type:
   

   SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM [AdventureWorksDW2012Multidimensional-SE].[Adventure Works].Customer

4. Search data:
   

   SELECT Country, Education FROM [AdventureWorksDW2012Multidimensional-SE].[Adventure Works].Customer WHERE Country = 'Australia'

5. The SQL Server Analysis Services APIs support the following operators in the WHERE clause: =, IN, AND, OR, <>, >=, <=, >, <.
   

   SELECT Country, Education FROM [AdventureWorksDW2012Multidimensional-SE].[Adventure Works].Customer WHERE Country = 'Australia';

6. Return the number of items matching the query criteria:
   

   SELECT COUNT(*) AS MyCount FROM [AdventureWorksDW2012Multidimensional-SE].[Adventure Works].Customer 

7. Return the number of unique items matching the query criteria:
   

   SELECT COUNT(DISTINCT Education) FROM [AdventureWorksDW2012Multidimensional-SE].[Adventure Works].Customer 

8. Return the unique items matching the query criteria:
   

   SELECT DISTINCT Education FROM [AdventureWorksDW2012Multidimensional-SE].[Adventure Works].Customer 

9. Sort a result set in ascending order:
   

   SELECT Country, Education FROM [AdventureWorksDW2012Multidimensional-SE].[Adventure Works].Customer  ORDER BY Education ASC

Aggregate Functions

For SELECT examples using aggregate functions, see Aggregate Functions.

JOIN Queries

See JOIN Queries for SELECT query examples using JOINs.

Window Functions

See Window Functions for SELECT examples containing window functions.

Table-Valued Functions

See Table-Valued Functions for SELECT examples with table-valued functions.