On 10/25/2016 04:43 PM, Jonathan Lowery wrote:
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"
you should be seeing a warning, and the type comes back as NullType.
The column should work normally as the passing / receiving of the date
value is done by cx_oracle. For basic operations the actual data type
of the column shouldn't matter.
You can also override the type established using a reflection event:
http://docs.sqlalchemy.org/en/latest/core/events.html?highlight=column_reflect#sqlalchemy.events.DDLEvents.column_reflect
however this event doesn't give you the raw type information, you'd need
to figure out this is the column with the unusual type.
Support for "LOCAL TIME ZONE", for it to be complete, would need to be
expressed as a new oracle.TIMEZONE type that supports "local" time zone
as a flag. Reflecting it into a regular TIMEZONE is almost OK but it
won't turn around and re-render as LOCAL TIME ZONE.
A feature request posted to the issue tracker would be how to get this
started (next would be a pull request).
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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SQLAlchemy -
The Python SQL Toolkit and Object Relational Mapper
http://www.sqlalchemy.org/
To post example code, please provide an MCVE: Minimal, Complete, and Verifiable
Example. See http://stackoverflow.com/help/mcve for a full description.
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