125 lines
3.7 KiB
Python
125 lines
3.7 KiB
Python
"""
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SQL-related functions defined here are really pass the queries (or other SQL
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commands) to :class:`.threads.sqlThread` through `sqlSubmitQueue` queue and check
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or return the result got from `sqlReturnQueue`.
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This is done that way because :mod:`sqlite3` is so thread-unsafe that they
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won't even let you call it from different threads using your own locks.
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SQLite objects can only be used from one thread.
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.. note:: This actually only applies for certain deployments, and/or
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really old version of sqlite. I haven't actually seen it anywhere.
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Current versions do have support for threading and multiprocessing.
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I don't see an urgent reason to refactor this, but it should be noted
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in the comment that the problem is mostly not valid. Sadly, last time
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I checked, there is no reliable way to check whether the library is
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or isn't thread-safe.
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"""
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import threading
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import queue as Queue
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sqlSubmitQueue = Queue.Queue()
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"""the queue for SQL"""
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sqlReturnQueue = Queue.Queue()
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"""the queue for results"""
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sqlLock = threading.Lock()
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def sqlQuery(sqlStatement, *args):
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"""
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Query sqlite and return results
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:param str sqlStatement: SQL statement string
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:param list args: SQL query parameters
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:rtype: list
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"""
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sqlLock.acquire()
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sqlSubmitQueue.put(sqlStatement)
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if args == ():
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sqlSubmitQueue.put('')
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elif isinstance(args[0], (list, tuple)):
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sqlSubmitQueue.put(args[0])
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else:
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sqlSubmitQueue.put(args)
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queryreturn, _ = sqlReturnQueue.get()
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sqlLock.release()
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return queryreturn
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def sqlExecuteChunked(sqlStatement, idCount, *args):
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"""Execute chunked SQL statement to avoid argument limit"""
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# SQLITE_MAX_VARIABLE_NUMBER,
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# unfortunately getting/setting isn't exposed to python
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sqlExecuteChunked.chunkSize = 999
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if idCount == 0 or idCount > len(args):
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return 0
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totalRowCount = 0
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with sqlLock:
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for i in range(
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len(args) - idCount, len(args),
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sqlExecuteChunked.chunkSize - (len(args) - idCount)
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):
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chunk_slice = args[
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i:i + sqlExecuteChunked.chunkSize - (len(args) - idCount)
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]
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sqlSubmitQueue.put(
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sqlStatement.format(','.join('?' * len(chunk_slice)))
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)
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# first static args, and then iterative chunk
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sqlSubmitQueue.put(
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args[0:len(args) - idCount] + chunk_slice
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)
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retVal = sqlReturnQueue.get()
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totalRowCount += retVal[1]
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sqlSubmitQueue.put('commit')
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return totalRowCount
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def sqlExecute(sqlStatement, *args):
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"""Execute SQL statement (optionally with arguments)"""
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sqlLock.acquire()
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sqlSubmitQueue.put(sqlStatement)
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if args == ():
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sqlSubmitQueue.put('')
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else:
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sqlSubmitQueue.put(args)
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_, rowcount = sqlReturnQueue.get()
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sqlSubmitQueue.put('commit')
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sqlLock.release()
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return rowcount
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def sqlStoredProcedure(procName):
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"""Schedule procName to be run"""
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sqlLock.acquire()
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sqlSubmitQueue.put(procName)
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sqlLock.release()
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class SqlBulkExecute(object): # pylint: disable=no-init
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"""This is used when you have to execute the same statement in a cycle."""
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def __enter__(self):
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sqlLock.acquire()
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return self
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def __exit__(self, exc_type, value, traceback):
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sqlSubmitQueue.put('commit')
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sqlLock.release()
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@staticmethod
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def execute(sqlStatement, *args):
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"""Used for statements that do not return results."""
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sqlSubmitQueue.put(sqlStatement)
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if args == ():
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sqlSubmitQueue.put('')
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else:
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sqlSubmitQueue.put(args)
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sqlReturnQueue.get()
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