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> 
    ]
  ] 
}

<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 MySurvey_Responses

2. Rename a column:
   

   SELECT [ChoiceId] AS MY_ChoiceId FROM MySurvey_Responses

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

   SELECT CAST(Size AS VARCHAR) AS Str_Size FROM MySurvey_Responses

4. Search data:
   

   SELECT * FROM MySurvey_Responses WHERE ChoiceText = 'blue'

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

   SELECT COUNT(*) AS MyCount FROM MySurvey_Responses 

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

   SELECT COUNT(DISTINCT ChoiceId) FROM MySurvey_Responses 

7. Return the unique items matching the query criteria:
   

   SELECT DISTINCT ChoiceId FROM MySurvey_Responses 

8. Summarize data:
   

   SELECT ChoiceId, MAX(Size) FROM MySurvey_Responses GROUP BY ChoiceId

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

   SELECT MySurvey_Questions.QuestionFamily, MySurvey_Responses.ChoiceId FROM MySurvey_Questions, MySurvey_Responses WHERE MySurvey_Questions.QuestionId=MySurvey_Responses.QuestionId

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

    SELECT RespondentId, ChoiceId FROM MySurvey_Responses  ORDER BY ChoiceId ASC

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

    SELECT RespondentId, ChoiceId FROM MySurvey_Responses 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 MySurvey_Responses WHERE ChoiceText = @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 SurveyMonkey.

    SELECT * FROM MySurvey_Responses WHERE Pseudo = '@Pseudo'