# Microsoft Dataverse
Other properties (Proxy...) are detailed in section [common properties](/apprules-r-documentation/appendix/miscellaneous/connection-common-properties.md)
### SELECT Statements
A SELECT statement can consist of the following basic clauses.
* SELECT
* INTO
* FROM
* JOIN
* WHERE
* GROUP BY
* HAVING
* UNION
* ORDER BY
* LIMIT
### SELECT Syntax
The following syntax diagram outlines the syntax supported by the SQL engine of the provider:
\| SELECT {
\[ TOP \ | DISTINCT ]
{
*
| {
\ \[ \[ AS ] \ ]
| { \ | \ } .*
} \[ , ... ]
}
\[ INTO csv:// \[ filename= ] \ \[ ;delimiter=tab ] ]
{
FROM \ \[ \[ AS ] \ ]
} \[ , ... ]
\[ \[
INNER | { { LEFT | RIGHT | FULL } \[ OUTER ] }
] JOIN \ \[ ON \ ] \[ \[ AS ] \ ]
] \[ ... ]
\[ WHERE \ ]
\[ GROUP BY \ \[ , ... ]
\[ HAVING \ ]
\[ UNION \[ ALL ] \ ]
\[
ORDER BY
\ \[ ASC | DESC ] \[ NULLS FIRST | NULLS LAST ]
]
\[
LIMIT \
\[
{ OFFSET | , }
\
]
]
} | SCOPE\_IDENTITY()
\ ::=
| \
| @ \
| ?
| COUNT( \* | { \[ DISTINCT ] \ } )
| { AVG | MAX | MIN | SUM | COUNT } ( \ )
| NULLIF ( \ , \ )
| COALESCE ( \ , ... )
| CASE \
WHEN { \ | \ } THEN { \ | NULL } \[ ... ]
\[ ELSE { \ | NULL } ]
END
| \
| \
\ ::=
{
\ { = | > | < | >= | <= | <> | != | LIKE | NOT LIKE | IN | NOT IN | IS NULL | IS NOT NULL | AND | OR | CONTAINS | BETWEEN } \[ \ ]
} \[ { AND | OR } ... ]
|
\| -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
#### Examples
1. Return all columns:
| `SELECT * FROM Accounts` |
| ------------------------ |
2. Rename a column:
| `SELECT [Name] AS MY_Name FROM Accounts` |
| ---------------------------------------- |
3. Cast a column's data as a different data type:
| `SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM Accounts` |
| -------------------------------------------------------------------------- |
4. Search data:
| `SELECT * FROM Accounts WHERE Name <> 'MyAccount'` |
| -------------------------------------------------- |
5. Return the number of items matching the query criteria:
| `SELECT COUNT(*) AS MyCount FROM Accounts` |
| ------------------------------------------ |
6. Return the number of unique items matching the query criteria:
| `SELECT COUNT(DISTINCT Name) FROM Accounts` |
| ------------------------------------------- |
7. Return the unique items matching the query criteria:
| `SELECT DISTINCT Name FROM Accounts` |
| ------------------------------------ |
8. Summarize data:
| `SELECT Name, MAX(AnnualRevenue) FROM Accounts GROUP BY Name` |
| ------------------------------------------------------------- |
See Aggregate Functions below for details.
9. Retrieve data from multiple tables.
| `SELECT Accounts.Name, Contracts.ContractNumber FROM Accounts, Contracts WHERE Accounts.AccountId=Contracts._AccountId_Value` |
| ----------------------------------------------------------------------------------------------------------------------------- |
See JOIN Queries below for details.
10. Sort a result set in ascending order:
| `SELECT accountid, Name FROM Accounts ORDER BY Name ASC` |
| --------------------------------------------------------- |
11. Restrict a result set to the specified number of rows:
| `SELECT accountid, Name FROM Accounts LIMIT 10` |
| ----------------------------------------------- |
12. Parameterize a query to pass in inputs at execution time. This enables you to create prepared statements and mitigate SQL injection attacks.
| `SELECT * FROM Accounts WHERE Name = @param` |
| -------------------------------------------- |
### Aggregate Functions
#### COUNT
Returns the number of rows matching the query criteria.
| `SELECT COUNT(*) FROM Accounts WHERE Name = 'MyAccount'` |
| -------------------------------------------------------- |
#### COUNT(DISTINCT)
Returns the number of distinct, non-null field values matching the query criteria.
| `SELECT COUNT(DISTINCT accountid) AS DistinctValues FROM Accounts WHERE Name <> 'MyAccount'` |
| -------------------------------------------------------------------------------------------- |
#### AVG
Returns the average of the column values.
| `SELECT Name, AVG(AnnualRevenue) FROM Accounts WHERE Name <> 'MyAccount'` `GROUP BY Name` |
| ------------------------------------------------------------------------------------------ |
#### MIN
Returns the minimum column value.
| `SELECT MIN(AnnualRevenue), Name FROM Accounts WHERE Name <> 'MyAccount'` `GROUP BY Name` |
| ----------------------------------------------------------------------------------------- |
#### MAX
Returns the maximum column value.
| `SELECT Name, MAX(AnnualRevenue) FROM Accounts WHERE Name <> 'MyAccount'` `GROUP BY Name` |
| ----------------------------------------------------------------------------------------- |
#### SUM
Returns the total sum of the column values.
| `SELECT SUM(AnnualRevenue) FROM Accounts WHERE Name = 'MyAccount'` |
| ------------------------------------------------------------------ |
### JOIN Queries
The Provider for Microsoft Dataverse supports standard SQL joins like the following examples.
#### Inner Join
An inner join selects only rows from both tables that match the join condition:
| `SELECT Accounts.Name, Contracts.ContractNumber FROM Accounts, Contracts WHERE Accounts.AccountId=Contracts._AccountId_Value` |
| ----------------------------------------------------------------------------------------------------------------------------- |
#### Left Join
A left join selects all rows in the FROM table and only matching rows in the JOIN table:
| `SELECT Accounts.Name, Contracts.ContractNumber FROM Accounts LEFT OUTER JOIN Contracts ON Accounts.AccountId=Contracts._AccountId_Value` |
| ----------------------------------------------------------------------------------------------------------------------------------------- |
### Date Literal Functions
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.
#### L\_TODAY()
The current day.
| `SELECT * FROM MyTable WHERE MyDateField = L_TODAY()` |
| ----------------------------------------------------- |
#### L\_YESTERDAY()
The previous day.
| `SELECT * FROM MyTable WHERE MyDateField = L_YESTERDAY()` |
| --------------------------------------------------------- |
#### L\_TOMORROW()
The following day.
| `SELECT * FROM MyTable WHERE MyDateField = L_TOMORROW()` |
| -------------------------------------------------------- |
#### L\_LAST\_WEEK()
Every day in the preceding week.
| `SELECT * FROM MyTable WHERE MyDateField = L_LAST_WEEK()` |
| --------------------------------------------------------- |
#### L\_THIS\_WEEK()
Every day in the current week.
| `SELECT * FROM MyTable WHERE MyDateField = L_THIS_WEEK()` |
| --------------------------------------------------------- |
#### L\_NEXT\_WEEK()
Every day in the following week.
| `SELECT * FROM MyTable WHERE MyDateField = L_NEXT_WEEK()` |
| --------------------------------------------------------- |
Also available:
* L\_LAST/L\_THIS/L\_NEXT MONTH
* L\_LAST/L\_THIS/L\_NEXT QUARTER
* L\_LAST/L\_THIS/L\_NEXT YEAR
#### L\_LAST\_N\_DAYS(n)
The previous n days, excluding the current day.
| `SELECT * FROM MyTable WHERE MyDateField = L_LAST_N_DAYS(3)` |
| ------------------------------------------------------------ |
#### L\_NEXT\_N\_DAYS(n)
The following n days, including the current day.
| `SELECT * FROM MyTable WHERE MyDateField = L_NEXT_N_DAYS(3)` |
| ------------------------------------------------------------ |
Also available:
* L\_LAST/L\_NEXT\_90\_DAYS
#### L\_LAST\_N\_WEEKS(n)
Every day in every week, starting n weeks before current week, and ending in the previous week.
| `SELECT * FROM MyTable WHERE MyDateField = L_LAST_N_WEEKS(3)` |
| ------------------------------------------------------------- |
#### L\_NEXT\_N\_WEEKS(n)
Every day in every week, starting the following week, and ending n weeks in the future.
| `SELECT * FROM MyTable WHERE MyDateField = L_NEXT_N_WEEKS(3)` |
| ------------------------------------------------------------- |
Also available:
* L\_LAST/L\_NEXT\_N\_MONTHS(n)
* L\_LAST/L\_NEXT\_N\_QUARTERS(n)
* L\_LAST/L\_NEXT\_N\_YEARS(n)
---
# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://docs.appstrategy.com/apprules-r-documentation/platform/platform-features/system-settings/data-sources/sql-compliance/services/microsoftdataverse.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.