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 Einstein Analytics 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 Dataset_Opportunity
SELECT [CloseDate] AS MY_CloseDate FROM Dataset_Opportunity
SELECT CAST(Size AS VARCHAR) AS Str_Size FROM Dataset_Opportunity
SELECT * FROM Dataset_Opportunity WHERE StageName = 'Closed Won';
SELECT COUNT(*) AS MyCount FROM Dataset_Opportunity
SELECT COUNT(DISTINCT CloseDate) FROM Dataset_Opportunity
SELECT DISTINCT CloseDate FROM Dataset_Opportunity
SELECT CloseDate, MAX(Size) FROM Dataset_Opportunity GROUP BY CloseDate
SELECT Customers.ContactName, Orders.OrderDate FROM Customers, Orders WHERE Customers.CustomerId=Orders.CustomerId
SELECT Name, CloseDate FROM Dataset_Opportunity ORDER BY CloseDate ASC
SELECT Name, CloseDate FROM Dataset_Opportunity LIMIT 10
SELECT * FROM Dataset_Opportunity WHERE StageName = @param
SELECT COUNT(*) FROM Dataset_Opportunity WHERE StageName = 'Closed Won'
SELECT COUNT(DISTINCT Name) AS DistinctValues FROM Dataset_Opportunity WHERE StageName = 'Closed Won'
SELECT CloseDate, AVG(Size) FROM Dataset_Opportunity WHERE StageName = 'Closed Won' GROUP BY CloseDate
SELECT MIN(Size), CloseDate FROM Dataset_Opportunity WHERE StageName = 'Closed Won' GROUP BY CloseDate
SELECT CloseDate, MAX(Size) FROM Dataset_Opportunity WHERE StageName = 'Closed Won' GROUP BY CloseDate
SELECT SUM(Size) FROM Dataset_Opportunity WHERE StageName = 'Closed Won'
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)