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 driver:

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

Return all columns:
```
SELECT * FROM TradingAccounts
```

Rename a column:

SELECT [Name] AS MY_Name FROM TradingAccounts

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

SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM TradingAccounts

Search data:

SELECT * FROM TradingAccounts WHERE TradingAccountUUID = 'c2ef66a5-a545-413b-9312-79a53caadbc4'

Return the number of items matching the query criteria:
```
SELECT COUNT(*) AS MyCount FROM TradingAccounts 
```
Return the number of unique items matching the query criteria:
```
SELECT COUNT(DISTINCT Name) FROM TradingAccounts 
```
Return the unique items matching the query criteria:
```
SELECT DISTINCT Name FROM TradingAccounts 
```

Summarize data:

SELECT Name, MAX(AnnualRevenue) FROM TradingAccounts GROUP BY Name

See Aggregate Functions for details.

Retrieve data from multiple tables.

SELECT Customers.ContactName, Orders.OrderDate FROM Customers, Orders WHERE Customers.CustomerId=Orders.CustomerId

See JOIN Queries for details.

Sort a result set in ascending order:

SELECT TradingAccountUUID, Name FROM TradingAccounts  ORDER BY Name ASC

Restrict a result set to the specified number of rows:

SELECT TradingAccountUUID, Name FROM TradingAccounts 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 TradingAccounts WHERE TradingAccountUUID = @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 Sage 50 UK.

    SELECT * FROM TradingAccounts WHERE Pseudo = '@Pseudo'

JDBC Driver for Sage 50 UK

SELECT Statements

SELECT Syntax

Examples

Pseudo Columns