TDV Adapter for XML

Build 24.0.9060

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 XML 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 | OR } [ <expression> ]
    } [ { AND | OR } ... ]

Examples

  1. Return all columns:
    SELECT * FROM NorthwindOData
  2. Rename a column:
    SELECT "Username" AS MY_Username FROM NorthwindOData
  3. Cast a column's data as a different data type:
    SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM NorthwindOData
  4. Search data:
    SELECT * FROM NorthwindOData WHERE Email = '[email protected]'
  5. The XML APIs support the following operators in the WHERE clause: =, >, <, >=, <=, <>, !=, AND, OR.
    SELECT * FROM NorthwindOData WHERE Email = '[email protected]';
  6. Return the number of items matching the query criteria:
    SELECT COUNT(*) AS MyCount FROM NorthwindOData 
  7. Return the number of unique items matching the query criteria:
    SELECT COUNT(DISTINCT Username) FROM NorthwindOData 
  8. Return the unique items matching the query criteria:
    SELECT DISTINCT Username FROM NorthwindOData 
  9. Sort a result set in ascending order:
    SELECT Email, Username FROM NorthwindOData  ORDER BY Username 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.

Copyright (c) 2024 CData Software, Inc. - All rights reserved.
Build 24.0.9060