NetSuiteSQL
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 provider:
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 Account
Rename a column:
SELECT [AcctName] AS MY_AcctName FROM Account
Cast a column's data as a different data type:
SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM Account
Search data:
SELECT * FROM Account WHERE acctName = 'Checking'
Return the number of items matching the query criteria:
SELECT COUNT(*) AS MyCount FROM Account
Return the number of unique items matching the query criteria:
SELECT COUNT(DISTINCT AcctName) FROM Account
Return the unique items matching the query criteria:
SELECT DISTINCT AcctName FROM Account
Summarize data:
SELECT AcctName, MAX(AnnualRevenue) FROM Account GROUP BY AcctName
See Aggregate Functions below for details.
Retrieve data from multiple tables.
SELECT n.Note, c.InternalId FROM Note n, Customer c WHERE n.Entity_InternalId = c.InternalId
See JOIN Queries below for details.
Sort a result set in ascending order:
SELECT InternalId, AcctName FROM Account ORDER BY AcctName ASC
Restrict a result set to the specified number of rows:
SELECT InternalId, AcctName FROM Account 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 Account WHERE acctName = @param
Aggregate Functions
COUNT
Returns the number of rows matching the query criteria.
|
COUNT(DISTINCT)
Returns the number of distinct, non-null field values matching the query criteria.
|
AVG
Returns the average of the column values.
|
MIN
Returns the minimum column value.
|
MAX
Returns the maximum column value.
|
SUM
Returns the total sum of the column values.
|
JOIN Queries
The CData ADO.NET Provider for NetSuite supports standard SQL joins like the following examples.
Inner Join
An inner join selects only rows from both tables that match the join condition:
|
Left Join
A left join selects all rows in the FROM table and only matching rows in the JOIN table:
|
Date Literal Functions
The following date literal functions can be used to filter date fields using relative intervals. Note that while the <, >, and = operators are supported for these functions, <= and >= are not.
L_TODAY()
The current day.
|
L_YESTERDAY()
The previous day.
|
L_TOMORROW()
The following day.
|
L_LAST_WEEK()
Every day in the preceding week.
|
L_THIS_WEEK()
Every day in the current week.
|
L_NEXT_WEEK()
Every day in the following week.
|
Also available:
L_LAST/L_THIS/L_NEXT MONTH
L_LAST/L_THIS/L_NEXT QUARTER
L_LAST/L_THIS/L_NEXT YEAR
L_LAST_N_DAYS(n)
The previous n days, excluding the current day.
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