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 engine of the driver:

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 | { { LEFT | RIGHT | FULL } [ OUTER ] } 
    ] 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> 
    ]
  ] 
} | SCOPE_IDENTITY() 

<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> { = | > | < | >= | <= | <> | != | LIKE | NOT LIKE | IN | NOT IN | IS NULL | IS NOT NULL | AND | OR | CONTAINS | BETWEEN } [ <expression> ]
  } [ { AND | OR } ... ] 

Examples

1. Return all columns:
   

   SELECT * FROM Subscriber

2. Rename a column:
   

   SELECT [Status] AS MY_Status FROM Subscriber

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

   SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM Subscriber

4. Search data:
   

   SELECT * FROM Subscriber WHERE EmailAddress = 'john.doe@example.com'

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

   SELECT COUNT(*) AS MyCount FROM Subscriber 

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

   SELECT COUNT(DISTINCT Status) FROM Subscriber 

7. Return the unique items matching the query criteria:
   

   SELECT DISTINCT Status FROM Subscriber 

8. Summarize data:
   

   SELECT Status, MAX(AnnualRevenue) FROM Subscriber GROUP BY Status

   See Aggregate Functions for details.
9. Retrieve data from multiple tables.
   

   SELECT ListSend.NumberSent, Send.Id FROM ListSend, Send WHERE ListSend.SendId=Send.Id

   See JOIN Queries for details.
10. Sort a result set in ascending order:
    

    SELECT Id, Status FROM Subscriber  ORDER BY Status ASC

11. Restrict a result set to the specified number of rows:
    

    SELECT Id, Status FROM Subscriber LIMIT 10 

12. Parameterize a query to pass in inputs at execution time. This enables you to create prepared statements and mitigate SQL injection attacks.
    

    SELECT * FROM Subscriber WHERE EmailAddress = @param

See Explicitly Caching Data for information on using the SELECT statement in offline mode.

Pseudo Columns

Some input-only fields are available in SELECT statements. These fields, called pseudo columns, do not appear as regular columns in the results, yet may be specified as part of the WHERE clause. You can use pseudo columns to access additional features from Salesforce Marketing Cloud.

    SELECT * FROM Subscriber WHERE Pseudo = '@Pseudo'