If you do not want to have to manually grab the apps you need, or if you have a series of different databases, this command will dynamically gather all connections from settings.py and reset the sequence.
To run use: python manage.py reset_sequences
import psycopg2
from django.conf import settings
from django.core.management.base import BaseCommand
from django.db import connections
def dictfetchall(cursor):
"""Return all rows from a cursor as a dict"""
columns = [col[0] for col in cursor.description]
return [
dict(zip(columns, row))
for row in cursor.fetchall()
]
class Command(BaseCommand):
help = "Resets sequencing errors in Postgres which normally occur due to importing/restoring a DB"
def handle(self, *args, **options):
# loop over all databases in system to figure out the tables that need to be reset
for name_to_use_for_connection, connection_settings in settings.DATABASES.items():
db_name = connection_settings['NAME']
host = connection_settings['HOST']
user = connection_settings['USER']
port = connection_settings['PORT']
password = connection_settings['PASSWORD']
# connect to this specific DB
conn_str = f"host={host} port={port} user={user} password={password}"
conn = psycopg2.connect(conn_str)
conn.autocommit = True
select_all_table_statement = f"""SELECT *
FROM information_schema.tables
WHERE table_schema = 'public'
ORDER BY table_name;
"""
# just a visual representation of where we are
print('-' * 20, db_name)
try:
not_reset_tables = list()
# use the specific name for the DB
with connections[name_to_use_for_connection].cursor() as cursor:
# using the current db as the cursor connection
cursor.execute(select_all_table_statement)
rows = dictfetchall(cursor)
# will loop over table names in the connected DB
for row in rows:
find_pk_statement = f"""
SELECT k.COLUMN_NAME
FROM information_schema.table_constraints t
LEFT JOIN information_schema.key_column_usage k
USING(constraint_name,table_schema,table_name)
WHERE t.constraint_type='PRIMARY KEY'
AND t.table_name='{row['table_name']}';
"""
cursor.execute(find_pk_statement)
pk_column_names = dictfetchall(cursor)
for pk_dict in pk_column_names:
column_name = pk_dict['column_name']
# time to build the reset sequence command for each table
# taken from django: https://docs.djangoproject.com/en/3.0/ref/django-admin/#sqlsequencereset
# example: SELECT setval(pg_get_serial_sequence('"[TABLE]"','id'), coalesce(max("id"), 1), max("id") IS NOT null) FROM "[TABLE]";
try:
reset_statement = f"""SELECT setval(pg_get_serial_sequence('"{row['table_name']}"','{column_name}'),
coalesce(max("{column_name}"), 1), max("{column_name}") IS NOT null) FROM "{row['table_name']}" """
cursor.execute(reset_statement)
return_values = dictfetchall(cursor)
# will be 1 row
for value in return_values:
print(f"Sequence reset to {value['setval']} for {row['table_name']}")
except Exception as ex:
# will only fail if PK is not an integer...
# currently in my system this is from django.contrib.sessions
not_reset_tables.append(f"{row['table_name']} not reset")
except psycopg2.Error as ex:
raise SystemExit(f'Error: {ex}')
conn.close()
print('-' * 5, ' ALL ERRORS ', '-' * 5)
for item_statement in not_reset_tables:
# shows which tables produced errors, so far I have only
# seen this with PK's that are not integers because of the MAX() method
print(item_statement)
# just a visual representation of where we are
print('-' * 20, db_name)
