BizTalk Adapter for Open Exchange Rates

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 adapter:

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 Projects
  2. Rename a column:
    SELECT [Statistics_ViewCount] AS MY_Statistics_ViewCount FROM Projects
  3. Cast a column's data as a different data type:
    SELECT CAST(Statistics_ViewCount AS VARCHAR) AS Str_Statistics_ViewCount FROM Projects
  4. Search data:
    SELECT * FROM Projects WHERE Id = 'MyId';
  5. Return the number of items matching the query criteria:
    SELECT COUNT(*) AS MyCount FROM Projects 
  6. Return the number of unique items matching the query criteria:
    SELECT COUNT(DISTINCT Statistics_ViewCount) FROM Projects 
  7. Return the unique items matching the query criteria:
    SELECT DISTINCT Statistics_ViewCount FROM Projects 
  8. Summarize data:
    SELECT Statistics_ViewCount, MAX(Statistics_ViewCount) FROM Projects GROUP BY Statistics_ViewCount
    See Aggregate Functions for details.
  9. Retrieve data from multiple tables.
    SELECT Latest.Value, Currencies.Name FROM Latest, Currencies WHERE Latest.Currency=Currencies.Currency
    See JOIN Queries for details.
  10. Sort a result set in ascending order:
    SELECT Id, Statistics_ViewCount FROM Projects  ORDER BY Statistics_ViewCount ASC
  11. Restrict a result set to the specified number of rows:
    SELECT Id, Statistics_ViewCount FROM Projects 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 Projects 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 Open Exchange Rates.

    SELECT * FROM Projects WHERE Pseudo = '@Pseudo'
    

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