MuleSoft Connector for Blackbaud Financial Edge NXT

Build 20.0.7587

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 connector:

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 Accounts
  2. Rename a column:
    SELECT [AccountNumber] AS MY_AccountNumber FROM Accounts
  3. Cast a column's data as a different data type:
    SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM Accounts
  4. Search data:
    SELECT * FROM Accounts WHERE ModifiedBy = 'System';
  5. Return the number of items matching the query criteria:
    SELECT COUNT(*) AS MyCount FROM Accounts 
  6. Return the number of unique items matching the query criteria:
    SELECT COUNT(DISTINCT AccountNumber) FROM Accounts 
  7. Return the unique items matching the query criteria:
    SELECT DISTINCT AccountNumber FROM Accounts 
  8. Summarize data:
    SELECT AccountNumber, MAX(AnnualRevenue) FROM Accounts GROUP BY AccountNumber
    See Aggregate Functions for details.
  9. Retrieve data from multiple tables.
    SELECT c.SampleCol1, o.SampleCol2, o.SampleCol3, o.SampleCol4 FROM Accounts c INNER JOIN BudgetAccounts  o ON c.Id = o.Id2
    See JOIN Queries for details.
  10. Sort a result set in ascending order:
    SELECT AccountId, AccountNumber FROM Accounts  ORDER BY AccountNumber ASC
  11. Restrict a result set to the specified number of rows:
    SELECT AccountId, AccountNumber FROM Accounts 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 Accounts WHERE ModifiedBy = @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 Blackbaud Financial Edge NXT.

    SELECT * FROM Accounts WHERE Pseudo = '@Pseudo'
    

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Build 20.0.7587