A SELECT statement can consist of the following basic clauses.
SELECT
INTO
FROM
JOIN
WHERE
GROUP BY
HAVING
UNION
ORDER BY
LIMIT
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 } ... ]
Return all columns:
Rename a column:
Cast a column's data as a different data type:
Search data:
Return the number of items matching the query criteria:
Return the number of unique items matching the query criteria:
Return the unique items matching the query criteria:
Summarize data:
See Aggregate Functions below for details.
Retrieve data from multiple tables.
See JOIN Queries below for details.
Sort a result set in ascending order:
Restrict a result set to the specified number of rows:
Parameterize a query to pass in inputs at execution time. This enables you to create prepared statements and mitigate SQL injection attacks.
Returns the number of rows matching the query criteria.
Returns the number of distinct, non-null field values matching the query criteria.
Returns the average of the column values.
Returns the minimum column value.
Returns the maximum column value.
Returns the total sum of the column values.
The provider supports JOIN queries based on Dynamics CRM relationships. JOIN queries in Dynamics CRM can only be executed against related entities.
Dynamics CRM entities can be linked using relationships. The standard Dynamics CRM entities already have relationships defined for them. You can define relationships for your custom entities. The provider supports standard SQL syntax instead of proprietary FetchXML to allow easy integration with a wide variety of SQL tools.
Inner joins are the default join when the JOIN keyword is specified. The INNER and NATURAL keywords are also supported. The following query returns the Names of all Accounts that have Contacts and the FirstNames of those Contacts.
Left joins can be executed with the LEFT JOIN and LEFT OUTER JOIN keywords. The following returns all Accounts and the Equipment Id for any preferred Equipment defined for that Account:
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.
The current day.
The previous day.
The following day.
Every day in the preceding week.
Every day in the current 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
The previous n days, excluding the current day.
The following n days, including the current day.
Also available:
L_LAST/L_NEXT_90_DAYS
Every day in every week, starting n weeks before current week, and ending in the previous week.
Every day in every week, starting the following week, and ending n weeks in the future.
Also available:
L_LAST/L_NEXT_N_MONTHS(n)
L_LAST/L_NEXT_N_QUARTERS(n)
L_LAST/L_NEXT_N_YEARS(n)
SELECT * FROM Lead
SELECT [FirstName] AS MY_FirstName FROM Lead
SELECT CAST(Revenue AS VARCHAR) AS Str_Revenue FROM Lead
SELECT * FROM Lead WHERE FirstName <> 'Bob'
SELECT COUNT(*) AS MyCount FROM Lead
SELECT COUNT(DISTINCT FirstName) FROM Lead
SELECT DISTINCT FirstName FROM Lead
SELECT FirstName, MAX(Revenue) FROM Lead GROUP BY FirstName
SELECT Customers.ContactName, Orders.OrderDate FROM Customers, Orders WHERE Customers.CustomerId=Orders.CustomerId
SELECT Id, FirstName FROM Lead ORDER BY FirstName ASC
SELECT Id, FirstName FROM Lead LIMIT 10
SELECT * FROM Lead WHERE FirstName = @param
SELECT COUNT(*) FROM Lead WHERE FirstName = 'Bob'
SELECT COUNT(DISTINCT Id) AS DistinctValues FROM Lead WHERE FirstName <> 'Bob'
SELECT FirstName, AVG(Revenue) FROM Lead WHERE FirstName <> 'Bob'
GROUP BY FirstName
SELECT MIN(Revenue), FirstName FROM Lead WHERE FirstName <> 'Bob'
GROUP BY FirstName
SELECT FirstName, MAX(Revenue) FROM Lead WHERE FirstName <> 'Bob'
GROUP BY FirstName
SELECT SUM(Revenue) FROM Lead WHERE FirstName = 'Bob'
SELECT Account.Id, Account.Name, Contact.FirstName, Contact.LastName FROM Account JOIN Contact ON Account.Id = Contact.AccountId_Id
SELECT Account.Id, Account.Name, Equipment.Id AS Eid, Equipment.Name AS Ename FROM Account LEFT JOIN Equipment ON Account.PreferredEquipmentid_id = Equipment.Id WHERE Account.Name = 'Adventure Works (sample)'
SELECT * FROM MyTable WHERE MyDateField = L_TODAY()
SELECT * FROM MyTable WHERE MyDateField = L_YESTERDAY()
SELECT * FROM MyTable WHERE MyDateField = L_TOMORROW()
SELECT * FROM MyTable WHERE MyDateField = L_LAST_WEEK()
SELECT * FROM MyTable WHERE MyDateField = L_THIS_WEEK()
SELECT * FROM MyTable WHERE MyDateField = L_NEXT_WEEK()
SELECT * FROM MyTable WHERE MyDateField = L_LAST_N_DAYS(3)
SELECT * FROM MyTable WHERE MyDateField = L_NEXT_N_DAYS(3)
SELECT * FROM MyTable WHERE MyDateField = L_LAST_N_WEEKS(3)
SELECT * FROM MyTable WHERE MyDateField = L_NEXT_N_WEEKS(3)