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 Customers

2. Rename a column:
   

   SELECT [Email] AS MY_Email FROM Customers

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

   SELECT CAST(TotalRowCount AS VARCHAR) AS Str_TotalRowCount FROM Customers

4. Search data:
   

   SELECT * FROM Customers WHERE Delinquent = 'False'

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

   SELECT COUNT(*) AS MyCount FROM Customers 

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

   SELECT COUNT(DISTINCT Email) FROM Customers 

7. Return the unique items matching the query criteria:
   

   SELECT DISTINCT Email FROM Customers 

8. Summarize data:
   

   SELECT Email, MAX(TotalRowCount) FROM Customers GROUP BY Email

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

   SELECT Charges.Amount, Customers.Email FROM Customers INNER JOIN Charges ON Charges.CustomerId = Customers.Id

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

    SELECT Discount, Email FROM Customers  ORDER BY Email ASC

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

    SELECT Discount, Email FROM Customers 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 Customers WHERE Delinquent = @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 Stripe.

    SELECT * FROM Customers WHERE Pseudo = '@Pseudo'