Fixed #11050 -- Oracle now passes all but one introspection unit test.
git-svn-id: http://code.djangoproject.com/svn/django/trunk@10743 bcc190cf-cafb-0310-a4f2-bffc1f526a37
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@ -24,16 +24,19 @@ class DatabaseIntrospection(BaseDatabaseIntrospection):
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def get_table_list(self, cursor):
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"Returns a list of table names in the current database."
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cursor.execute("SELECT TABLE_NAME FROM USER_TABLES")
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return [row[0].upper() for row in cursor.fetchall()]
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return [row[0].lower() for row in cursor.fetchall()]
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def get_table_description(self, cursor, table_name):
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"Returns a description of the table, with the DB-API cursor.description interface."
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cursor.execute("SELECT * FROM %s WHERE ROWNUM < 2" % self.connection.ops.quote_name(table_name))
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return cursor.description
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description = []
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for desc in cursor.description:
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description.append((desc[0].lower(),) + desc[1:])
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return description
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def table_name_converter(self, name):
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"Table name comparison is case insensitive under Oracle"
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return name.upper()
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return name.lower()
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def _name_to_index(self, cursor, table_name):
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"""
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@ -76,33 +79,27 @@ class DatabaseIntrospection(BaseDatabaseIntrospection):
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# This query retrieves each index on the given table, including the
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# first associated field name
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# "We were in the nick of time; you were in great peril!"
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sql = """
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WITH primarycols AS (
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SELECT user_cons_columns.table_name, user_cons_columns.column_name, 1 AS PRIMARYCOL
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FROM user_cons_columns, user_constraints
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WHERE user_cons_columns.constraint_name = user_constraints.constraint_name AND
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user_constraints.constraint_type = 'P' AND
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user_cons_columns.table_name = %s),
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uniquecols AS (
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SELECT user_ind_columns.table_name, user_ind_columns.column_name, 1 AS UNIQUECOL
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FROM user_indexes, user_ind_columns
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WHERE uniqueness = 'UNIQUE' AND
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user_indexes.index_name = user_ind_columns.index_name AND
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user_ind_columns.table_name = %s)
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SELECT allcols.column_name, primarycols.primarycol, uniquecols.UNIQUECOL
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FROM (SELECT column_name FROM primarycols UNION SELECT column_name FROM
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uniquecols) allcols,
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primarycols, uniquecols
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WHERE allcols.column_name = primarycols.column_name (+) AND
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allcols.column_name = uniquecols.column_name (+)
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sql = """\
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SELECT LOWER(all_tab_cols.column_name) AS column_name,
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CASE user_constraints.constraint_type
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WHEN 'P' THEN 1 ELSE 0
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END AS is_primary_key,
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CASE user_indexes.uniqueness
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WHEN 'UNIQUE' THEN 1 ELSE 0
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END AS is_unique
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FROM all_tab_cols, user_cons_columns, user_constraints, user_ind_columns, user_indexes
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WHERE all_tab_cols.column_name = user_cons_columns.column_name (+)
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AND all_tab_cols.table_name = user_cons_columns.table_name (+)
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AND user_cons_columns.constraint_name = user_constraints.constraint_name (+)
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AND user_constraints.constraint_type (+) = 'P'
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AND user_ind_columns.column_name (+) = all_tab_cols.column_name
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AND user_ind_columns.table_name (+) = all_tab_cols.table_name
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AND user_indexes.uniqueness (+) = 'UNIQUE'
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AND user_indexes.index_name (+) = user_ind_columns.index_name
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AND all_tab_cols.table_name = UPPER(%s)
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"""
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cursor.execute(sql, [table_name, table_name])
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cursor.execute(sql, [table_name])
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indexes = {}
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for row in cursor.fetchall():
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# row[1] (idx.indkey) is stored in the DB as an array. It comes out as
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# a string of space-separated integers. This designates the field
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# indexes (1-based) of the fields that have indexes on the table.
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# Here, we skip any indexes across multiple fields.
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indexes[row[0]] = {'primary_key': row[1], 'unique': row[2]}
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return indexes
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