Excel Add-In for OneNote

Build 21.0.7930

SELECT Statements

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 add-in:

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 OneNote.

    SELECT * FROM Notebooks WHERE Pseudo = '@Pseudo'
    

Copyright (c) 2021 CData Software, Inc. - All rights reserved.
Build 21.0.7930