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 Notebooks

2. Rename a column:
   

   SELECT [notebook_displayName] AS MY_notebook_displayName FROM Notebooks

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

   SELECT CAST(Reminder AS VARCHAR) AS Str_Reminder FROM Notebooks

4. Search data:
   

   SELECT * FROM Notebooks WHERE Id = 'Jq74mCczmFXk1tC10GB'

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

   SELECT COUNT(*) AS MyCount FROM Notebooks 

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

   SELECT COUNT(DISTINCT notebook_displayName) FROM Notebooks 

7. Return the unique items matching the query criteria:
   

   SELECT DISTINCT notebook_displayName FROM Notebooks 

8. Summarize data:
   

   SELECT notebook_displayName, MAX(Reminder) FROM Notebooks GROUP BY notebook_displayName

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

   SELECT Groups.displayName, Notebooks.displayName FROM Groups, Notebooks WHERE Groups.Id=Notebooks.GroupId

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

    SELECT Id, notebook_displayName FROM Notebooks  ORDER BY notebook_displayName ASC

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

    SELECT Id, notebook_displayName FROM Notebooks 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 Notebooks WHERE Id = @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 Microsoft OneNote.

    SELECT * FROM Notebooks WHERE Pseudo = '@Pseudo'