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

  1. Return all columns:

    SELECT * FROM Account

  2. Rename a column:

    SELECT [AcctName] AS MY_AcctName FROM Account

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

    SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM Account

  4. Search data:

    SELECT * FROM Account WHERE acctName = 'Checking'

  5. Return the number of items matching the query criteria:

    SELECT COUNT(*) AS MyCount FROM Account

  6. Return the number of unique items matching the query criteria:

    SELECT COUNT(DISTINCT AcctName) FROM Account

  7. Return the unique items matching the query criteria:

    SELECT DISTINCT AcctName FROM Account

  8. Summarize data:

    SELECT AcctName, MAX(AnnualRevenue) FROM Account GROUP BY AcctName

    See Aggregate Functions below for details.

  9. 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.

  10. Sort a result set in ascending order:

    SELECT InternalId, AcctName FROM Account ORDER BY AcctName ASC

  11. Restrict a result set to the specified number of rows:

    SELECT InternalId, AcctName FROM Account 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 Account WHERE acctName = @param

Aggregate Functions

COUNT

Returns the number of rows matching the query criteria.

SELECT COUNT(*) FROM Account WHERE acctName = 'Checking'

COUNT(DISTINCT)

Returns the number of distinct, non-null field values matching the query criteria.

SELECT COUNT(DISTINCT InternalId) AS DistinctValues FROM Account WHERE acctName = 'Checking'

AVG

Returns the average of the column values.

SELECT AcctName, AVG(AnnualRevenue) FROM Account WHERE acctName = 'Checking' GROUP BY AcctName

MIN

Returns the minimum column value.

SELECT MIN(AnnualRevenue), AcctName FROM Account WHERE acctName = 'Checking' GROUP BY AcctName

MAX

Returns the maximum column value.

SELECT AcctName, MAX(AnnualRevenue) FROM Account WHERE acctName = 'Checking' GROUP BY AcctName

SUM

Returns the total sum of the column values.

SELECT SUM(AnnualRevenue) FROM Account WHERE acctName = 'Checking'

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:

SELECT n.Note, c.InternalId FROM Note n, Customer c WHERE n.Entity_InternalId = c.InternalId

Left Join

A left join selects all rows in the FROM table and only matching rows in the JOIN table:

SELECT n.Note, c.InternalId FROM Customer c LEFT JOIN Note n ON n.Entity_InternalId = c.InternalId

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.

SELECT * FROM MyTable WHERE MyDateField = L_TODAY()

L_YESTERDAY()

The previous day.

SELECT * FROM MyTable WHERE MyDateField = L_YESTERDAY()

L_TOMORROW()

The following day.

SELECT * FROM MyTable WHERE MyDateField = L_TOMORROW()

L_LAST_WEEK()

Every day in the preceding week.

SELECT * FROM MyTable WHERE MyDateField = L_LAST_WEEK()

L_THIS_WEEK()

Every day in the current week.

SELECT * FROM MyTable WHERE MyDateField = L_THIS_WEEK()

L_NEXT_WEEK()

Every day in the following week.

SELECT * FROM MyTable WHERE MyDateField = L_NEXT_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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