No support currently exists for this oracle datatype because of the way the
Oracle dialect parses data types in sqlalchemy\dialects\oracle\base.py
A column in a table I am attempting to reflect is of the type "TIMESTAMP
WITH LOCAL TIME ZONE"
A temporary monkey-patch fix I've got for now is as follows:
def get_columns(self, connection, table_name, schema=None, **kw):
"""
kw arguments can be:
oracle_resolve_synonyms
dblink
"""
resolve_synonyms = kw.get('oracle_resolve_synonyms', False)
dblink = kw.get('dblink', '')
info_cache = kw.get('info_cache')
(table_name, schema, dblink, synonym) = \
self._prepare_reflection_args(connection, table_name, schema,
resolve_synonyms, dblink,
info_cache=info_cache)
columns = []
if self._supports_char_length:
char_length_col = 'char_length'
else:
char_length_col = 'data_length'
params = {"table_name": table_name}
text = "SELECT column_name, data_type, %(char_length_col)s, "\
"data_precision, data_scale, "\
"nullable, data_default FROM ALL_TAB_COLUMNS%(dblink)s "\
"WHERE table_name = :table_name"
if schema is not None:
params['owner'] = schema
text += " AND owner = :owner "
text += " ORDER BY column_id"
text = text % {'dblink': dblink, 'char_length_col': char_length_col}
c = connection.execute(sql.text(text), **params)
for row in c:
(colname, orig_colname, coltype, length, precision, scale,
nullable, default) = \
(self.normalize_name(row[0]), row[0], row[1], row[
2], row[3], row[4], row[5] == 'Y', row[6])
if coltype == 'NUMBER':
coltype = NUMBER(precision, scale)
elif coltype in ('VARCHAR2', 'NVARCHAR2', 'CHAR'):
coltype = self.ischema_names.get(coltype)(length)
elif 'WITH TIME ZONE' in coltype or 'WITH LOCAL TIME ZONE' in
coltype:
coltype = TIMESTAMP(timezone=True)
else:
coltype = re.sub(r'\(\d+\)', '', coltype)
try:
coltype = self.ischema_names[coltype]
except KeyError:
util.warn("Did not recognize type '%s' of column '%s'" %
(coltype, colname))
coltype = sqltypes.NULLTYPE
cdict = {
'name': colname,
'type': coltype,
'nullable': nullable,
'default': default,
'autoincrement': default is None
}
if orig_colname.lower() == orig_colname:
cdict['quote'] = True
columns.append(cdict)
return columns
OracleDialect.get_columns=get_columns
There are probably many better ways to do this, but if someone could
address it in a patch, that would be great.
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