odbc (version 1.6.4)

Microsoft SQL Server-class: SQL Server

Description

Details of SQL Server methods for odbc and DBI generics.

dbUnquoteIdentifier()

conn@quote returns the quotation mark, but quotation marks and square brackets can be used interchangeably for delimited identifiers. (https://learn.microsoft.com/en-us/sql/relational-databases/databases/database-identifiers). This function strips the brackets first and then calls the DBI method to strip the quotation marks.

isTempTable()

Local temp tables are stored as [tempdb].[dbo].[#name]_____[numeric identifier], so isTempTable() returns TRUE if catalog_name is "tempdb" or "%", or the name starts with "#".

dbExistsTable()

The default implementation reports temporary tables as non-existent since they live in a different catalog. This method provides a special case for temporary tables, as identified by isTempTable().

dbListTables()

The default implementation reports temporary tables as non-existent when a catalog_name isn't supplied since they live in a different catalog. This method provides a special case for temporary tables.

odbcConnectionSchemas

Method for an internal function. Calls catalog-specific sp_tables to make sure we list the schemas in the appropriate database/catalog.

sqlCreateTable()

Warns if temporary = TRUE but the name does not conform to temp table naming conventions (i.e. it doesn't start with #).

odbcConnectionColumns_()

If temp table, query the database for the actual table name.

odbcConnectionColumns_()

Copied over from odbc-connection to avoid S4 dispatch NOTEs.

Details

Note on binding TVPs: You can bind data.frames to SQL Server TVPs when executing stored procedures with the following caveats:

• All non-df parameters must be of length 1; and

• The batch_rows parameter (to dbBind, for example) should be set to 1.

Examples

if (FALSE) {
# Bind `data.frame` to a TVP when executing a
# stored procedure that takes three parameters:
# a TVP, an INT and a VARCHAR(max).
res <- dbGetQuery(conn, "{ CALL example_sproc(?, ?, ?) }",
  params = list(df.data, 100, "Lorem ipsum dolor sit amet"))
}