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This article describes the differences between Dataverse SQL and Transact-SQL. Dataverse SQL is a subset of Transact-SQL.
In an SQL database, each column, local variable, expression, and parameter has a related data type. A data type is an attribute that specifies the type of data that the object can hold: integer data, character data, monetary data, date and time data, binary strings, and so on.
More information: Data types (Transact-SQL)
A SQL statement is an atomic unit of work and either completely succeeds or completely fails. A SQL statement is a set of instruction that consists of identifiers, parameters, variables, names, data types, and SQL reserved words that compile successfully.
More information: Transact-SQL statements
Learn about the categories of built-in functions you can use with Dataverse environments through the SQL endpoint.
More information: What are the SQL database functions?
The following system functions perform operations on and return information about values, objects, and settings in the Dataverse environment.
More information: System Functions (Transact-SQL)
The following scalar functions return information about the environment and environment objects.
More information: Metadata Functions (Transact-SQL)
No metadata functions are supported at this time.
The Dataverse SQL endpoint supports the following language elements.
More information: Language Elements (Transact-SQL)
Use these statements to query data from the Dataverse SQL endpoint.
More information: Queries
Retrieves rows from a Dataverse environment and enables the selection of one or many rows or columns from one or many tables.
Hints aren't supported.
Händelser
Power BI DataViz World Championships
14 feb. 16 - 31 mars 16
Med 4 chanser att komma in kan du vinna ett konferenspaket och ta dig till LIVE Grand Finale i Las Vegas
Läs merUtbildning
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