Update bigtables tool: Sort by size with indexes, not just data.
from pgtoolkit.toolbase import SimpleTool
from pgtoolkit import pgbrowser
from pycolib.ansicolor import highlight, WHITE, YELLOW, RED, BOLD
class ListSerialTool(SimpleTool):
"""List sequences near to overflow.
Checks all sequences attached to a column of type integer.
Highlight dangerous values of sequence:
* Yellow - near overflow (90%)
* Red - already over...
Does not list sequences with value under 50% of range.
"""
max_int = 2147483647
def __init__(self):
SimpleTool.__init__(self, name='listserial')
def main(self):
conn = self.pgm.get_conn('target')
browser = pgbrowser.PgBrowser(conn)
rows = browser.list_sequences()
sequences = []
for row in rows:
if row['related_column_type'] == 'integer':
# read sequence attributes like last_value
q = 'SELECT * FROM "%s"."%s"' % (row['sequence_schema'], row['sequence_name'])
curs = conn.cursor()
curs.execute(q)
attrs = curs.fetchone_dict()
# skip this sequence if its cycled and has safe max_value
if attrs['is_cycled'] and attrs['max_value'] <= self.max_int:
continue
# skip sequences with last_value not yet in half of max_int
if attrs['last_value'] < self.max_int / 2:
continue
# remember rest of sequences
row['attrs'] = attrs
sequences.append(row)
# sort most dangerous on top
sequences.sort(key=lambda x: x['attrs']['last_value'], reverse=True)
# print out what we've found
for seq in sequences:
print('Sequence:', seq['sequence_schema'] + '.' + seq['sequence_name'])
print(' Related:', seq['sequence_schema'] + '.' + seq['related_table'], seq['related_column'], '(' + seq['related_column_type'] + ')')
print(' integer max', '2147483647')
# colorize last value
last_val = seq['attrs']['last_value']
col = WHITE + BOLD
if last_val > self.max_int * 0.9:
# near max
col = YELLOW + BOLD
if last_val > self.max_int:
# over max
col = RED + BOLD
print(' last_value', highlight(1, col) + str(last_val) + highlight(0))
for key in ('min_value', 'max_value', 'is_cycled'):
print(' ', key, seq['attrs'][key])
print()
cls = ListSerialTool