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 Azure 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 [adventureworks].[Model].Customer

2. Rename a column:
   

   SELECT "Education" AS MY_Education FROM [adventureworks].[Model].Customer

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

   SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM [adventureworks].[Model].Customer

4. Search data:
   

   SELECT Country, Education FROM [adventureworks].[Model].Customer WHERE Country = 'Australia'

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

   SELECT Country, Education FROM [adventureworks].[Model].Customer WHERE Country = 'Australia';

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

   SELECT COUNT(*) AS MyCount FROM [adventureworks].[Model].Customer 

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

   SELECT COUNT(DISTINCT Education) FROM [adventureworks].[Model].Customer 

8. Return the unique items matching the query criteria:
   

   SELECT DISTINCT Education FROM [adventureworks].[Model].Customer 

9. Sort a result set in ascending order:
   

   SELECT Country, Education FROM [adventureworks].[Model].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.