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:
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 for Salesforce Chatter supports standard SQL joins like the following examples.
An inner join selects only rows from both tables that match the join condition:
A left join selects all rows in the FROM table and only matching rows in the JOIN table:
The Provider for Salesforce Chatter supports standard SQL joins like the following examples.
An inner join selects only rows from both tables that match the join condition:
A left join selects all rows in the FROM table and only matching rows in the JOIN table:
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:
LAST/THIS/NEXT MONTH
LAST/THIS/NEXT QUARTER
LAST/THIS/NEXT YEAR
The previous n days, excluding the current day.
The following n days, including the current day.
Also available:
LAST/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:
LAST/NEXT_N_MONTHS(n)
LAST/NEXT_N_QUARTERS(n)
LAST/NEXT_N_YEARS(n)
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 } ... ]
SELECT * FROM Users
SELECT [Name] AS MY_Name FROM Users
SELECT CAST(PostCount AS VARCHAR) AS Str_PostCount FROM Users
SELECT * FROM Users WHERE Id = 'MyId';
SELECT COUNT(*) AS MyCount FROM Users
SELECT COUNT(DISTINCT Name) FROM Users
SELECT DISTINCT Name FROM Users
SELECT Name, MAX(PostCount) FROM Users GROUP BY Name
SELECT Customers.ContactName, Orders.OrderDate FROM Customers, Orders WHERE Customers.CustomerId=Orders.CustomerId
SELECT Id, Name FROM Users ORDER BY Name ASC
SELECT Id, Name FROM Users LIMIT 10
SELECT * FROM Users WHERE Id = @param
SELECT COUNT(*) FROM Users WHERE Id = 'MyId'
SELECT COUNT(DISTINCT Id) AS DistinctValues FROM Users WHERE Id = 'MyId'
SELECT Name, AVG(PostCount) FROM Users WHERE Id = 'MyId' GROUP BY Name
SELECT MIN(PostCount), Name FROM Users WHERE Id = 'MyId' GROUP BY Name
SELECT Name, MAX(PostCount) FROM Users WHERE Id = 'MyId' GROUP BY Name
SELECT SUM(PostCount) FROM Users WHERE Id = 'MyId'
SELECT Customers.ContactName, Orders.OrderDate FROM Customers, Orders WHERE Customers.CustomerId=Orders.CustomerId
SELECT Customers.ContactName, Orders.OrderDate FROM Customers, Orders WHERE Customers.CustomerId=Orders.CustomerId
SELECT Customers.ContactName, Orders.OrderDate FROM Customers LEFT OUTER JOIN Orders ON Customers.CustomerId=Orders.CustomerId
SELECT * FROM MyTable WHERE MyDateField = TODAY()
SELECT * FROM MyTable WHERE MyDateField = YESTERDAY()
SELECT * FROM MyTable WHERE MyDateField = TOMORROW()
SELECT * FROM MyTable WHERE MyDateField = LAST_WEEK()
SELECT * FROM MyTable WHERE MyDateField = THIS_WEEK()
SELECT * FROM MyTable WHERE MyDateField = NEXT_WEEK()
SELECT * FROM MyTable WHERE MyDateField = LAST_N_DAYS(3)
SELECT * FROM MyTable WHERE MyDateField = NEXT_N_DAYS(3)
SELECT * FROM MyTable WHERE MyDateField = LAST_N_WEEKS(3)
SELECT * FROM MyTable WHERE MyDateField = NEXT_N_WEEKS(3)