sqlColumns | R Documentation |
Enquire about the column structure of tables on an ODBC database connection.
sqlColumns(channel, sqtable, errors = FALSE, as.is = TRUE,
special = FALSE, catalog = NULL, schema = NULL,
literal = FALSE)
sqlPrimaryKeys(channel, sqtable, errors = FALSE, as.is = TRUE,
catalog = NULL, schema = NULL)
channel |
connection object as returned by |
sqtable |
character string: a database table (or view or similar)
name accessible from the connected DSN. If wildcards are allowed
(only for |
errors |
logical: if true halt and display error, else return |
as.is |
see |
special |
logical. If true, return only the column(s) needed to specify a row uniquely. Depending on the database, there might be none. |
catalog, schema |
|
literal |
logical: wildcards may be interpreted in
|
The argument special = TRUE
to sqlColumns
returns the
column(s) needed to specify a row uniquely. This is intended to form
the basis of an SQL WHERE
clause for update queries (see
sqlUpdate
), and what (if anything) it does is
DBMS-specific. On many DBMSs it will return the primary keys if
present: on others it will return a pseudo-column such as ‘ROWID’
(Oracle) or ‘_ROWID_’ (SQLite), either always (Oracle) or if
there is no primary key.
Primary keys are implemented in some DBMSs and drivers. A table can have a single column designated as a primary key or, in some cases, multiple columns. Primary keys should not be nullable (that is, cannot contain missing values). They can be specified as part of a ‘CREATE TABLE’ statement or added by a ‘ALTER TABLE’ statement.
In principle specifying catalog
should select an alternative
database in MySQL or an attached database in SQLite, but neither works
with current drivers.
If sqtable
contains ‘.’ and neither catalog
nor
schema
is supplied, an attempt is made to interpret
qualifier.table
as table table
in
schema qualifier
(and for MySQL ‘schema’ means
‘database’, but the current drivers fail to interpret
catalog=
, so this does not yet work). (This can be suppressed
by opening the connection with interpretDot = FALSE
.) This has
been tested successfully on PostgreSQL, SQL Server, Oracle, DB2 and
Mimer.
Whether wildcards are accepted for sqtable
and schema
in
sqlColumns(special = FALSE)
depends on the driver and may be
changed by the value of literal
. For example, the PostgreSQL
driver tested allowed wildcards in schema
only if literal
= FALSE
and never in sqtable
, whereas two MySQL drivers both
failed to match a database when catalog
was supplied and always
allowed wildcards in sqtable
even if literal = TRUE
.
A data frame on success. If no data is returned, either a zero-row data frame or an error. (For example, if there are no primary keys or special column(s) in this table an empty data frame is returned, but if primary keys are not supported by the ODBC driver or DBMS, an error code results.)
The column names are not constant across ODBC versions so the data should be accessed by column number.
For sqlPrimaryKeys
and sqlColumns(special=FALSE)
the
first four columns give the catalog, schema, table and column names
(where applicable). For sqlPrimaryKeys
the next two columns
are the column sequence number (starting with 1) and name of the
primary key: drivers can define further columns. For
sqlColumns(special=FALSE)
there are 18 columnns: see
https://learn.microsoft.com/en-us/sql/odbc/reference/syntax/sqlcolumns-function?view=sql-server-ver15.
Those beyond the first 6 shown in the examples give the
‘ordinal position’ (column 17) and further characteristics of the
column type: see sqlTypeInfo
.
For the numeric values returned by sqlColumns(special=TRUE)
see
https://learn.microsoft.com/en-us/sql/odbc/reference/syntax/sqlspecialcolumns-function?view=sql-server-ver15:
the scope should always be 2
(the session) since that is the
scope requested in the call. For the PSEUDO_COLUMN
column, the
possible values are 0
(unknown), 1
(no) and 2
(yes).
Michael Lapsley and Brian Ripley
odbcConnect
, sqlQuery
, sqlFetch
,
sqlSave
, sqlTables
, odbcGetInfo
## Not run: ## example results from MySQL
> channel <- odbcConnect("test")
> sqlDrop(channel, "USArrests", errors = FALSE) # precautionary
> sqlSave(channel, USArrests, addPK = TRUE)
> sqlColumns(channel, "USArrests")
TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME
1 ripley <NA> USArrests rownames 12 varchar
2 ripley <NA> USArrests Murder 8 double
3 ripley <NA> USArrests Assault 4 integer
4 ripley <NA> USArrests UrbanPop 4 integer
5 ripley <NA> USArrests Rape 8 double
... 12 more columns
> sqlColumns(channel, "USArrests", special = TRUE)
SCOPE COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE BUFFER_LENGTH
1 2 rownames 12 varchar 255 255
DECIMAL_DIGITS PSEUDO_COLUMN
1 NA 1
> sqlPrimaryKeys(channel, "USArrests")
TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME KEY_SEQ PK_NAME
1 <NA> <NA> USArrests rownames 1 PRIMARY
> sqlDrop(channel, "USArrests")
> close(channel)
## End(Not run)
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