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 Google Sheets 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)
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 Microsoft Excel 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 Spreadsheet1_Sheet1
SELECT [Column1] AS MY_Column1 FROM Spreadsheet1_Sheet1
SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM Spreadsheet1_Sheet1
SELECT * FROM Spreadsheet1_Sheet1 WHERE Column2 = 'Bob'
SELECT COUNT(*) AS MyCount FROM Spreadsheet1_Sheet1
SELECT COUNT(DISTINCT Column1) FROM Spreadsheet1_Sheet1
SELECT DISTINCT Column1 FROM Spreadsheet1_Sheet1
SELECT Column1, MAX(AnnualRevenue) FROM Spreadsheet1_Sheet1 GROUP BY Column1
SELECT c.Name, o.ItemCount, o.TotalCost, o.Date FROM Spreadsheet1_Customers c INNER JOIN Spreadsheet1_Orders o ON c.Id = o.CustomerId
SELECT Id, Column1 FROM Spreadsheet1_Sheet1 ORDER BY Column1 ASC
SELECT Id, Column1 FROM Spreadsheet1_Sheet1 LIMIT 10
SELECT * FROM Spreadsheet1_Sheet1 WHERE Column2 = @param
SELECT COUNT(*) FROM Spreadsheet1_Sheet1 WHERE Column2 = 'Bob'
SELECT COUNT(DISTINCT Id) AS DistinctValues FROM Spreadsheet1_Sheet1 WHERE Column2 = 'Bob'
SELECT Column1, AVG(AnnualRevenue) FROM Spreadsheet1_Sheet1 WHERE Column2 = 'Bob' GROUP BY Column1
SELECT MIN(AnnualRevenue), Column1 FROM Spreadsheet1_Sheet1 WHERE Column2 = 'Bob' GROUP BY Column1
SELECT Column1, MAX(AnnualRevenue) FROM Spreadsheet1_Sheet1 WHERE Column2 = 'Bob' GROUP BY Column1
SELECT SUM(AnnualRevenue) FROM Spreadsheet1_Sheet1 WHERE Column2 = 'Bob'
SELECT c.Name, o.ItemCount, o.TotalCost, o.Date FROM Spreadsheet1_Customers c INNER JOIN Spreadsheet1_Orders o ON c.Id = o.CustomerId
SELECT c.Name, o.ItemCount, o.TotalCost, o.Date FROM Spreadsheet1_Customers c LEFT JOIN Spreadsheet1_Orders o ON c.Id = o.CustomerId
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)
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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 Microsoft Excel Online 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)
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 Excel Services 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)
Returns the value rounded up to the nearest whole number (no decimal component).
expression: The value to round.
Returns the string that is the concatenation of string_expr1 and string_expr2.
string_expr1: The first string to be concatenated.
string_expr2: The second string to be concatenated.
Returns the integer that specifies the day component of the specified date.
datetime_date: The datetime string that specifies the date.
Returns true if string_expression ends with string_suffix, otherwise returns false.
string_expression: The string expression to search within.
string_suffix: The string suffix to search for.
Returns the value rounded down to the nearest whole number (no decimal component).
value: The value to round.
Returns the integer that specifies the hour component of the specified time.
datetime_time: The datetime string that specifies the time.
Returns the index location where string_search is contained within string_expression.
string_expression: The string expression to search within.
string_search: The search value to locate within string_expression.
Returns the number of characters of the specified string expression.
string_expression: The string expression.
Returns the integer that specifies the minute component of the specified time.
datetime_time: The datetime string that specifies the time.
Returns the integer that specifies the month component of the specified date.
datetime_date: The datetime string that specifies the date.
Returns the string after replacing any found string_search values with string_replace.
string_expression: The string expression to perform a replace on.
string_search: The string value to find within string_expression.
string_replace: The string value replace and string_search instances found.
Returns the value to the nearest whole number (no decimal component).
value: The value to round.
Returns the integer that specifies the second component of the specified time.
datetime_time: The datetime string that specifies the time.
Returns true if string_expression starts with string_prefix, otherwise returns false.
string_expression: The string expression to search within.
string_prefix: The string prefix to search for.
Returns true if string_expression contains string_expression, otherwise returns false.
string_expression: The string expression to search within.
string_search: The value to search for.
Returns the string_expression with the uppercase character data converted to lowercase.
string_expression: The string expression to lowercase.
Returns the string_expression with the lowercase character data converted to uppercase.
string_expression: The string expression to uppercase.
Returns the string_expression with the leading and trailing whitespace removed.
string_expression: The string expression to trim.
Returns the integer that specifies the year component of the specified date.
datetime_date: The datetime string that specifies the date.
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 Test_xlsx_Sheet1
SELECT [Column1] AS MY_Column1 FROM Test_xlsx_Sheet1
SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM Test_xlsx_Sheet1
SELECT * FROM Test_xlsx_Sheet1 WHERE Column2 = 'Bob'
SELECT COUNT(*) AS MyCount FROM Test_xlsx_Sheet1
SELECT COUNT(DISTINCT Column1) FROM Test_xlsx_Sheet1
SELECT DISTINCT Column1 FROM Test_xlsx_Sheet1
SELECT Column1, MAX(AnnualRevenue) FROM Test_xlsx_Sheet1 GROUP BY Column1
SELECT c.Name, o.ItemCount, o.TotalCost, o.Date FROM Spreadsheet1_Customers c INNER JOIN Spreadsheet1_Orders o ON c.Id = o.CustomerId
SELECT Id, Column1 FROM Test_xlsx_Sheet1 ORDER BY Column1 ASC
SELECT Id, Column1 FROM Test_xlsx_Sheet1 LIMIT 10
SELECT * FROM Test_xlsx_Sheet1 WHERE Column2 = @param
SELECT COUNT(*) FROM Test_xlsx_Sheet1 WHERE Column2 = 'Bob'
SELECT COUNT(DISTINCT Id) AS DistinctValues FROM Test_xlsx_Sheet1 WHERE Column2 = 'Bob'
SELECT Column1, AVG(AnnualRevenue) FROM Test_xlsx_Sheet1 WHERE Column2 = 'Bob' GROUP BY Column1
SELECT MIN(AnnualRevenue), Column1 FROM Test_xlsx_Sheet1 WHERE Column2 = 'Bob' GROUP BY Column1
SELECT Column1, MAX(AnnualRevenue) FROM Test_xlsx_Sheet1 WHERE Column2 = 'Bob' GROUP BY Column1
SELECT SUM(AnnualRevenue) FROM Test_xlsx_Sheet1 WHERE Column2 = 'Bob'
SELECT c.Name, o.ItemCount, o.TotalCost, o.Date FROM Spreadsheet1_Customers c INNER JOIN Spreadsheet1_Orders o ON c.Id = o.CustomerId
SELECT c.Name, o.ItemCount, o.TotalCost, o.Date FROM Spreadsheet1_Customers c LEFT JOIN Spreadsheet1_Orders o ON c.Id = o.CustomerId
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)
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 Account
SELECT [Name] AS MY_Name FROM Account
SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM Account
SELECT * FROM Account WHERE Industry = 'Floppy Disks';
SELECT COUNT(*) AS MyCount FROM Account
SELECT COUNT(DISTINCT Name) FROM Account
SELECT DISTINCT Name FROM Account
SELECT Name, MAX(AnnualRevenue) FROM Account GROUP BY Name
SELECT Customers.ContactName, Orders.OrderDate FROM Customers, Orders WHERE Customers.CustomerID=Orders.CustomerID
SELECT Id, Name FROM Account ORDER BY Name ASC
SELECT Id, Name FROM Account LIMIT 10
SELECT * FROM Account WHERE Industry = @param
SELECT COUNT(*) FROM Account WHERE Industry = 'Floppy Disks'
SELECT COUNT(DISTINCT Id) AS DistinctValues FROM Account WHERE Industry = 'Floppy Disks'
SELECT Name, AVG(AnnualRevenue) FROM Account WHERE Industry = 'Floppy Disks' GROUP BY Name
SELECT MIN(AnnualRevenue), Name FROM Account WHERE Industry = 'Floppy Disks' GROUP BY Name
SELECT Name, MAX(AnnualRevenue) FROM Account WHERE Industry = 'Floppy Disks' GROUP BY Name
SELECT SUM(AnnualRevenue) FROM Account WHERE Industry = 'Floppy Disks'
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 = 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)