Nominatim/nominatim/db/async_connection.py

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# SPDX-License-Identifier: GPL-2.0-only
#
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# This file is part of Nominatim. (https://nominatim.org)
#
# Copyright (C) 2022 by the Nominatim developer community.
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# For a full list of authors see the git log.
""" Database helper functions for the indexer.
"""
import logging
import select
import time
import psycopg2
from psycopg2.extras import wait_select
# psycopg2 emits different exceptions pre and post 2.8. Detect if the new error
# module is available and adapt the error handling accordingly.
try:
import psycopg2.errors # pylint: disable=no-name-in-module,import-error
__has_psycopg2_errors__ = True
except ImportError:
__has_psycopg2_errors__ = False
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LOG = logging.getLogger()
class DeadlockHandler:
""" Context manager that catches deadlock exceptions and calls
the given handler function. All other exceptions are passed on
normally.
"""
def __init__(self, handler, ignore_sql_errors=False):
self.handler = handler
self.ignore_sql_errors = ignore_sql_errors
def __enter__(self):
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return self
def __exit__(self, exc_type, exc_value, traceback):
if __has_psycopg2_errors__:
if exc_type == psycopg2.errors.DeadlockDetected: # pylint: disable=E1101
self.handler()
return True
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elif exc_type == psycopg2.extensions.TransactionRollbackError \
and exc_value.pgcode == '40P01':
self.handler()
return True
if self.ignore_sql_errors and isinstance(exc_value, psycopg2.Error):
LOG.info("SQL error ignored: %s", exc_value)
return True
return False
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class DBConnection:
""" A single non-blocking database connection.
"""
def __init__(self, dsn, cursor_factory=None, ignore_sql_errors=False):
self.current_query = None
self.current_params = None
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self.dsn = dsn
self.ignore_sql_errors = ignore_sql_errors
self.conn = None
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self.cursor = None
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self.connect(cursor_factory=cursor_factory)
def close(self):
""" Close all open connections. Does not wait for pending requests.
"""
if self.conn is not None:
self.cursor.close()
self.conn.close()
self.conn = None
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def connect(self, cursor_factory=None):
""" (Re)connect to the database. Creates an asynchronous connection
with JIT and parallel processing disabled. If a connection was
already open, it is closed and a new connection established.
The caller must ensure that no query is pending before reconnecting.
"""
self.close()
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# Use a dict to hand in the parameters because async is a reserved
# word in Python3.
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self.conn = psycopg2.connect(**{'dsn': self.dsn, 'async': True})
self.wait()
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self.cursor = self.conn.cursor(cursor_factory=cursor_factory)
# Disable JIT and parallel workers as they are known to cause problems.
# Update pg_settings instead of using SET because it does not yield
# errors on older versions of Postgres where the settings are not
# implemented.
self.perform(
""" UPDATE pg_settings SET setting = -1 WHERE name = 'jit_above_cost';
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UPDATE pg_settings SET setting = 0
WHERE name = 'max_parallel_workers_per_gather';""")
self.wait()
def _deadlock_handler(self):
LOG.info("Deadlock detected (params = %s), retry.", str(self.current_params))
self.cursor.execute(self.current_query, self.current_params)
def wait(self):
""" Block until any pending operation is done.
"""
while True:
with DeadlockHandler(self._deadlock_handler, self.ignore_sql_errors):
wait_select(self.conn)
self.current_query = None
return
def perform(self, sql, args=None):
""" Send SQL query to the server. Returns immediately without
blocking.
"""
self.current_query = sql
self.current_params = args
self.cursor.execute(sql, args)
def fileno(self):
""" File descriptor to wait for. (Makes this class select()able.)
"""
return self.conn.fileno()
def is_done(self):
""" Check if the connection is available for a new query.
Also checks if the previous query has run into a deadlock.
If so, then the previous query is repeated.
"""
if self.current_query is None:
return True
with DeadlockHandler(self._deadlock_handler, self.ignore_sql_errors):
if self.conn.poll() == psycopg2.extensions.POLL_OK:
self.current_query = None
return True
return False
class WorkerPool:
""" A pool of asynchronous database connections.
The pool may be used as a context manager.
"""
REOPEN_CONNECTIONS_AFTER = 100000
def __init__(self, dsn, pool_size, ignore_sql_errors=False):
self.threads = [DBConnection(dsn, ignore_sql_errors=ignore_sql_errors)
for _ in range(pool_size)]
self.free_workers = self._yield_free_worker()
self.wait_time = 0
def finish_all(self):
""" Wait for all connection to finish.
"""
for thread in self.threads:
while not thread.is_done():
thread.wait()
self.free_workers = self._yield_free_worker()
def close(self):
""" Close all connections and clear the pool.
"""
for thread in self.threads:
thread.close()
self.threads = []
self.free_workers = None
def next_free_worker(self):
""" Get the next free connection.
"""
return next(self.free_workers)
def _yield_free_worker(self):
ready = self.threads
command_stat = 0
while True:
for thread in ready:
if thread.is_done():
command_stat += 1
yield thread
if command_stat > self.REOPEN_CONNECTIONS_AFTER:
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self._reconnect_threads()
ready = self.threads
command_stat = 0
else:
tstart = time.time()
_, ready, _ = select.select([], self.threads, [])
self.wait_time += time.time() - tstart
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def _reconnect_threads(self):
for thread in self.threads:
while not thread.is_done():
thread.wait()
thread.connect()
def __enter__(self):
return self
def __exit__(self, exc_type, exc_value, traceback):
self.finish_all()
self.close()