spec_sql_append_table
dbAppendTable() returns a
scalar
numeric.
If the table does not exist,
or the data frame with the new data has different column names,
an error is raised; the remote table remains unchanged.
An error is raised when calling this method for a closed
or invalid connection.
An error is also raised
if name cannot be processed with dbQuoteIdentifier()
or if this results in a non-scalar.
Invalid values for the row.names argument
(non-scalars,
unsupported data types,
NA)
also raise an error.
SQL keywords can be used freely in table names, column names, and data. Quotes, commas, and spaces can also be used in the data, and, if the database supports non-syntactic identifiers, also for table names and column names.
The following data types must be supported at least,
and be read identically with dbReadTable():
integer
numeric
(the behavior for Inf and NaN is not specified)
logical
NA as NULL
64-bit values (using "bigint" as field type); the result can be
converted to a numeric, which may lose precision,
converted a character vector, which gives the full decimal representation
written to another table and read again unchanged
character (in both UTF-8 and native encodings), supporting empty strings
factor (returned as character, with awarning)
list of raw (if supported by the database)
objects of type blob::blob (if supported by the database)
date
(if supported by the database;
returned as Date)
time
(if supported by the database;
returned as objects that inherit from difftime)
timestamp
(if supported by the database;
returned as POSIXct
respecting the time zone but not necessarily preserving the
input time zone)
Mixing column types in the same table is supported.
The name argument is processed as follows,
to support databases that allow non-syntactic names for their objects:
If an unquoted table name as string: dbAppendTable() will do the quoting,
perhaps by calling dbQuoteIdentifier(conn, x = name)
If the result of a call to dbQuoteIdentifier(): no more quoting is done
The row.names argument must be NULL, the default value.
Row names are ignored.
All other values for the row.names argument
(in particular TRUE,
NA,
and a string)
raise an error.