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 Sheet_Test_Sheet

2. Rename a column:
   

   SELECT [Name] AS MY_Name FROM Sheet_Test_Sheet

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

   SELECT CAST(TotalRowCount AS VARCHAR) AS Str_TotalRowCount FROM Sheet_Test_Sheet

4. Search data:
   

   SELECT * FROM Sheet_Test_Sheet WHERE Favorite = 'True'

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

   SELECT COUNT(*) AS MyCount FROM Sheet_Test_Sheet 

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

   SELECT COUNT(DISTINCT Name) FROM Sheet_Test_Sheet 

7. Return the unique items matching the query criteria:
   

   SELECT DISTINCT Name FROM Sheet_Test_Sheet 

8. Summarize data:
   

   SELECT Name, MAX(TotalRowCount) FROM Sheet_Test_Sheet GROUP BY Name

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

   SELECT Sheet_Customers.ContactName, Sheet_Orders.OrderDate FROM Sheet_Customers, Sheet_Orders WHERE Sheet_Customers.CustomerId=Sheet_Orders.CustomerId

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

    SELECT Id, Name FROM Sheet_Test_Sheet  ORDER BY Name ASC

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

    SELECT Id, Name FROM Sheet_Test_Sheet 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 Sheet_Test_Sheet WHERE Favorite = @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 Smartsheet.

    SELECT * FROM Sheet_Test_Sheet WHERE Pseudo = '@Pseudo'