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PyBitmessage-2024-12-04/src/helper_sql.py

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4.5 KiB
Python

"""
SQL-related functions defined here are really pass the queries (or other SQL
commands) to :class:`.threads.sqlThread` through `sqlSubmitQueue` queue and check
or return the result got from `sqlReturnQueue`.
This is done that way because :mod:`sqlite3` is so thread-unsafe that they
won't even let you call it from different threads using your own locks.
SQLite objects can only be used from one thread.
.. note:: This actually only applies for certain deployments, and/or
really old version of sqlite. I haven't actually seen it anywhere.
Current versions do have support for threading and multiprocessing.
I don't see an urgent reason to refactor this, but it should be noted
in the comment that the problem is mostly not valid. Sadly, last time
I checked, there is no reliable way to check whether the library is
or isn't thread-safe.
"""
# import Queue
import sys
if sys.version_info[0] == 3:
import queue as Queue #python3
else:
import Queue #python2
import threading
sqlSubmitQueue = Queue.Queue()
"""the queue for SQL"""
sqlReturnQueue = Queue.Queue()
"""the queue for results"""
sql_lock = threading.Lock()
""" lock to prevent queueing a new request until the previous response
is available """
sql_available = False
"""set to True by `.threads.sqlThread` immediately upon start"""
sql_ready = threading.Event()
"""set by `.threads.sqlThread` when ready for processing (after
initialization is done)"""
def sqlQuery(sql_statement, *args):
"""
Query sqlite and return results
:param str sql_statement: SQL statement string
:param list args: SQL query parameters
:rtype: list
"""
assert sql_available
sql_lock.acquire()
sqlSubmitQueue.put(sql_statement)
if args == ():
sqlSubmitQueue.put('')
elif isinstance(args[0], (list, tuple)):
sqlSubmitQueue.put(args[0])
else:
sqlSubmitQueue.put(args)
queryreturn, _ = sqlReturnQueue.get()
sql_lock.release()
return queryreturn
def sqlExecuteChunked(sql_statement, idCount, *args):
"""Execute chunked SQL statement to avoid argument limit"""
# SQLITE_MAX_VARIABLE_NUMBER,
# unfortunately getting/setting isn't exposed to python
assert sql_available
sqlExecuteChunked.chunkSize = 999
if idCount == 0 or idCount > len(args):
return 0
total_row_count = 0
with sql_lock:
for i in range(
len(args) - idCount, len(args),
sqlExecuteChunked.chunkSize - (len(args) - idCount)
):
chunk_slice = args[
i:i + sqlExecuteChunked.chunkSize - (len(args) - idCount)
]
sqlSubmitQueue.put(
sql_statement.format(','.join('?' * len(chunk_slice)))
)
# first static args, and then iterative chunk
sqlSubmitQueue.put(
args[0:len(args) - idCount] + chunk_slice
)
ret_val = sqlReturnQueue.get()
total_row_count += ret_val[1]
sqlSubmitQueue.put('commit')
return total_row_count
def sqlExecute(sql_statement, *args):
"""Execute SQL statement (optionally with arguments)"""
assert sql_available
sql_lock.acquire()
sqlSubmitQueue.put(sql_statement)
if args == ():
sqlSubmitQueue.put('')
else:
sqlSubmitQueue.put(args)
_, rowcount = sqlReturnQueue.get()
sqlSubmitQueue.put('commit')
sql_lock.release()
return rowcount
def sqlExecuteScript(sql_statement):
"""Execute SQL script statement"""
statements = sql_statement.split(";")
with SqlBulkExecute() as sql:
for q in statements:
sql.execute("{}".format(q))
def sqlStoredProcedure(procName):
"""Schedule procName to be run"""
assert sql_available
sql_lock.acquire()
sqlSubmitQueue.put(procName)
if procName == "exit":
sqlSubmitQueue.task_done()
sqlSubmitQueue.put("terminate")
sql_lock.release()
class SqlBulkExecute(object):
"""This is used when you have to execute the same statement in a cycle."""
def __enter__(self):
sql_lock.acquire()
return self
def __exit__(self, exc_type, value, traceback):
sqlSubmitQueue.put('commit')
sql_lock.release()
@staticmethod
def execute(sql_statement, *args):
"""Used for statements that do not return results."""
assert sql_available
sqlSubmitQueue.put(sql_statement)
if args == ():
sqlSubmitQueue.put('')
else:
sqlSubmitQueue.put(args)
sqlReturnQueue.get()