You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
103 lines
4.6 KiB
103 lines
4.6 KiB
from django.db.backends import BaseDatabaseIntrospection |
|
import cx_Oracle |
|
import re |
|
|
|
foreign_key_re = re.compile(r"\sCONSTRAINT `[^`]*` FOREIGN KEY \(`([^`]*)`\) REFERENCES `([^`]*)` \(`([^`]*)`\)") |
|
|
|
class DatabaseIntrospection(BaseDatabaseIntrospection): |
|
# Maps type objects to Django Field types. |
|
data_types_reverse = { |
|
cx_Oracle.CLOB: 'TextField', |
|
cx_Oracle.DATETIME: 'DateTimeField', |
|
cx_Oracle.FIXED_CHAR: 'CharField', |
|
cx_Oracle.NCLOB: 'TextField', |
|
cx_Oracle.NUMBER: 'DecimalField', |
|
cx_Oracle.STRING: 'CharField', |
|
cx_Oracle.TIMESTAMP: 'DateTimeField', |
|
} |
|
|
|
def get_table_list(self, cursor): |
|
"Returns a list of table names in the current database." |
|
cursor.execute("SELECT TABLE_NAME FROM USER_TABLES") |
|
return [row[0].upper() for row in cursor.fetchall()] |
|
|
|
def get_table_description(self, cursor, table_name): |
|
"Returns a description of the table, with the DB-API cursor.description interface." |
|
cursor.execute("SELECT * FROM %s WHERE ROWNUM < 2" % self.connection.ops.quote_name(table_name)) |
|
return cursor.description |
|
|
|
def table_name_converter(self, name): |
|
"Table name comparison is case insensitive under Oracle" |
|
return name.upper() |
|
|
|
def _name_to_index(self, cursor, table_name): |
|
""" |
|
Returns a dictionary of {field_name: field_index} for the given table. |
|
Indexes are 0-based. |
|
""" |
|
return dict([(d[0], i) for i, d in enumerate(self.get_table_description(cursor, table_name))]) |
|
|
|
def get_relations(self, cursor, table_name): |
|
""" |
|
Returns a dictionary of {field_index: (field_index_other_table, other_table)} |
|
representing all relationships to the given table. Indexes are 0-based. |
|
""" |
|
cursor.execute(""" |
|
SELECT ta.column_id - 1, tb.table_name, tb.column_id - 1 |
|
FROM user_constraints, USER_CONS_COLUMNS ca, USER_CONS_COLUMNS cb, |
|
user_tab_cols ta, user_tab_cols tb |
|
WHERE user_constraints.table_name = %s AND |
|
ta.table_name = %s AND |
|
ta.column_name = ca.column_name AND |
|
ca.table_name = %s AND |
|
user_constraints.constraint_name = ca.constraint_name AND |
|
user_constraints.r_constraint_name = cb.constraint_name AND |
|
cb.table_name = tb.table_name AND |
|
cb.column_name = tb.column_name AND |
|
ca.position = cb.position""", [table_name, table_name, table_name]) |
|
|
|
relations = {} |
|
for row in cursor.fetchall(): |
|
relations[row[0]] = (row[2], row[1]) |
|
return relations |
|
|
|
def get_indexes(self, cursor, table_name): |
|
""" |
|
Returns a dictionary of fieldname -> infodict for the given table, |
|
where each infodict is in the format: |
|
{'primary_key': boolean representing whether it's the primary key, |
|
'unique': boolean representing whether it's a unique index} |
|
""" |
|
# This query retrieves each index on the given table, including the |
|
# first associated field name |
|
# "We were in the nick of time; you were in great peril!" |
|
sql = """ |
|
WITH primarycols AS ( |
|
SELECT user_cons_columns.table_name, user_cons_columns.column_name, 1 AS PRIMARYCOL |
|
FROM user_cons_columns, user_constraints |
|
WHERE user_cons_columns.constraint_name = user_constraints.constraint_name AND |
|
user_constraints.constraint_type = 'P' AND |
|
user_cons_columns.table_name = %s), |
|
uniquecols AS ( |
|
SELECT user_ind_columns.table_name, user_ind_columns.column_name, 1 AS UNIQUECOL |
|
FROM user_indexes, user_ind_columns |
|
WHERE uniqueness = 'UNIQUE' AND |
|
user_indexes.index_name = user_ind_columns.index_name AND |
|
user_ind_columns.table_name = %s) |
|
SELECT allcols.column_name, primarycols.primarycol, uniquecols.UNIQUECOL |
|
FROM (SELECT column_name FROM primarycols UNION SELECT column_name FROM |
|
uniquecols) allcols, |
|
primarycols, uniquecols |
|
WHERE allcols.column_name = primarycols.column_name (+) AND |
|
allcols.column_name = uniquecols.column_name (+) |
|
""" |
|
cursor.execute(sql, [table_name, table_name]) |
|
indexes = {} |
|
for row in cursor.fetchall(): |
|
# row[1] (idx.indkey) is stored in the DB as an array. It comes out as |
|
# a string of space-separated integers. This designates the field |
|
# indexes (1-based) of the fields that have indexes on the table. |
|
# Here, we skip any indexes across multiple fields. |
|
indexes[row[0]] = {'primary_key': row[1], 'unique': row[2]} |
|
return indexes |
|
|
|
|