Survey Monkey
Last updated
Last updated
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 SurveyMonkey 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:
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
{
[ 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 MySurvey_Responses
SELECT [ChoiceId] AS MY_ChoiceId FROM MySurvey_Responses
SELECT CAST(Size AS VARCHAR) AS Str_Size FROM MySurvey_Responses
SELECT * FROM MySurvey_Responses WHERE ChoiceText = 'blue'
SELECT COUNT(*) AS MyCount FROM MySurvey_Responses
SELECT COUNT(DISTINCT ChoiceId) FROM MySurvey_Responses
SELECT DISTINCT ChoiceId FROM MySurvey_Responses
SELECT ChoiceId, MAX(Size) FROM MySurvey_Responses GROUP BY ChoiceId
SELECT MySurvey_Questions.QuestionFamily, MySurvey_Responses.ChoiceId FROM MySurvey_Questions, MySurvey_Responses WHERE MySurvey_Questions.QuestionId=MySurvey_Responses.QuestionId
SELECT RespondentId, ChoiceId FROM MySurvey_Responses ORDER BY ChoiceId ASC
SELECT RespondentId, ChoiceId FROM MySurvey_Responses LIMIT 10
SELECT * FROM MySurvey_Responses WHERE ChoiceText = @param
SELECT COUNT(*) FROM MySurvey_Responses WHERE ChoiceText = 'blue'
SELECT COUNT(DISTINCT RespondentId) AS DistinctValues FROM MySurvey_Responses WHERE ChoiceText = 'blue'
SELECT ChoiceId, AVG(Size) FROM MySurvey_Responses WHERE ChoiceText = 'blue'
GROUP BY ChoiceId
SELECT MIN(Size), ChoiceId FROM MySurvey_Responses WHERE ChoiceText = 'blue'
GROUP BY ChoiceId
SELECT ChoiceId, MAX(Size) FROM MySurvey_Responses WHERE ChoiceText = 'blue'
GROUP BY ChoiceId
SELECT SUM(Size) FROM MySurvey_Responses WHERE ChoiceText = 'blue'
SELECT MySurvey_Questions.QuestionFamily, MySurvey_Responses.ChoiceId FROM MySurvey_Questions, MySurvey_Responses WHERE MySurvey_Questions.QuestionId=MySurvey_Responses.QuestionId
SELECT MySurvey_Questions.QuestionFamily, MySurvey_Responses.ChoiceId FROM MySurvey_Questions LEFT OUTER JOIN MySurvey_Responses ON MySurvey_Questions.QuestionId=MySurvey_Responses.QuestionId
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)