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 component:

SELECT {
  [ TOP <numeric_literal> | DISTINCT ]
  { 
    * 
    | { 
        <expression> [ [ AS ] <column_reference> ] 
        | { <table_name> | <correlation_name> } .* 
      } [ , ... ] 
  }
  { 
    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 
  | {RANK() | DENSE_RANK()} OVER ([PARTITION BY <column_reference>] {ORDER BY <column_reference>})
  | <literal>
  | <sql_function> 

<search_condition> ::= 
  {
    <expression> { = | > | < | >= | <= | <> | != | LIKE | NOT LIKE | IN | NOT IN | IS NULL | IS NOT NULL | AND | OR | CONTAINS | BETWEEN | IS DISTINCT FROM | IS NOT DISTINCT FROM } [ <expression> ]
  } [ { AND | OR } ... ]

Examples

Return all columns:

SELECT * FROM AccountsPayable.AccountLedger

Rename a column:

SELECT [Amount] AS MY_Amount FROM AccountsPayable.AccountLedger

Cast a column's data as a different data type:

SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM AccountsPayable.AccountLedger

Search data:

SELECT * FROM AccountsPayable.AccountLedger WHERE AccountNumber = '10001'

Return the number of items matching the query criteria:

SELECT COUNT(*) AS MyCount FROM AccountsPayable.AccountLedger

Return the number of unique items matching the query criteria:

SELECT COUNT(DISTINCT Amount) FROM AccountsPayable.AccountLedger

Return the unique items matching the query criteria:

SELECT DISTINCT Amount FROM AccountsPayable.AccountLedger

Sort a result set in ascending order:

SELECT DocumentNumber, Amount FROM AccountsPayable.AccountLedger  ORDER BY Amount ASC

Restrict a result set to the specified number of rows:

SELECT DocumentNumber, Amount FROM AccountsPayable.AccountLedger LIMIT 10

Parameterize a query to pass in inputs at execution time. This enables you to create prepared statements and mitigate SQL injection attacks.
```
SELECT * FROM AccountsPayable.AccountLedger WHERE AccountNumber = @param
```

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 JD Edwards.

    SELECT * FROM AccountsPayable.AccountLedger WHERE Query = 'Amount > 1000'

Window Functions

See Window Functions for SELECT examples containing window functions.

Table-Valued Functions