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 OneNote adapter:

SELECT {
  [ TOP <numeric_literal> | DISTINCT ]
  { 
    * 
    | { 
        <expression> [ [ AS ] <column_reference> ] 
        | { <table_name> | <correlation_name> } .* 
      } [ , ... ] 
  }
  { 
    FROM <table_reference> [ [ AS ] <identifier> ] 
  } [ , ... ]
  [ 
    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> { = | != | > | < | >= | <= | AND | IS NULL | IS NOT NULL | OR } [ <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. The OneNote APIs support the following operators in the WHERE clause: =, !=, >, <, >=, <=, AND, IS NULL, IS NOT NULL, OR.
   

   SELECT * FROM Notebooks WHERE Id = 'Jq74mCczmFXk1tC10GB';

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

   SELECT COUNT(*) AS MyCount FROM Notebooks 

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

   SELECT COUNT(DISTINCT notebook_displayName) FROM Notebooks 

8. Return the unique items matching the query criteria:
   

   SELECT DISTINCT notebook_displayName FROM Notebooks 

9. Sort a result set in ascending order:
   

   SELECT Id, notebook_displayName FROM Notebooks  ORDER BY notebook_displayName ASC

Aggregate Functions

For SELECT examples using aggregate functions, see Aggregate Functions.

JOIN Queries

See JOIN Queries for SELECT query examples using JOINs.

Date Literal Functions

Date Literal Functions contains SELECT examples with date literal functions.

Window Functions

See Window Functions for SELECT examples containing window functions.

Table-Valued Functions

See Table-Valued Functions for SELECT examples with table-valued functions.