如果你试图解锁Chrome数据库，用SQLite查看它，然后只需关闭Chrome。

窗户

%userprofile%\Local Settings\Application Data\Google\Chrome\User Data\Default\Web Data

or

%userprofile%\Local Settings\Application Data\Google\Chrome\User Data\Default\Chrome Web Data

Mac

~/Library/Application Support/Google/Chrome/Default/Web Data

我在一个场景中得到了这个错误，与这里描述的略有不同。

SQLite数据库位于由3个服务器共享的NFS文件系统上。在其中2个服务器上，我能够成功地对数据库运行查询，在第三个服务器上，我认为我得到了“数据库已锁定”消息。

第三台机器的问题是，在/var上没有剩余空间了。每次我试图在位于这个文件系统的任何SQLite数据库中运行查询时，我都得到了“数据库被锁定”的消息，并且在日志上出现了这个错误:

Aug 8 10:33:38 server01 kernel: lockd: cannot monitor 172.22.84.87

还有这个:

Aug 8 10:33:38 server01 rpc。statd[7430]: Failed to insert: writing /var/lib/nfs/statd/sm/other.server.name.com: No space left on device .日志含义 Aug 8 10:33:38 server01 rpc。statd[7430]: STAT_FAIL to server01 for SM_MON of 172.22.84.87

太空的情况处理好之后，一切都恢复正常了。

在windows中，您可以尝试这个程序http://www.nirsoft.net/utils/opened_files_view.html，以找出进程正在处理db文件。尝试关闭该程序解锁数据库

在Linux和macOS中，你可以做类似的事情，例如，如果你锁定的文件是development.db:

$ fuser development.db

这个命令将显示哪个进程正在锁定该文件:

> development.db: 5430

只需终止进程……

杀死-9 5430

.．.您的数据库将被解锁。

我也有同样的问题。显然，回滚函数似乎用与db文件相同但没有最近更改的日志覆盖了db文件。我已经在下面的代码中实现了这一点，从那时起它一直工作得很好，而之前我的代码会因为数据库保持锁定而陷入循环。

希望这能有所帮助

我的python代码

##############
#### Defs ####
##############
def conn_exec( connection , cursor , cmd_str ):
    done        = False
    try_count   = 0.0
    while not done:
        try:
            cursor.execute( cmd_str )
            done = True
        except sqlite.IntegrityError:
            # Ignore this error because it means the item already exists in the database
            done = True
        except Exception, error:
            if try_count%60.0 == 0.0:       # print error every minute
                print "\t" , "Error executing command" , cmd_str
                print "Message:" , error

            if try_count%120.0 == 0.0:      # if waited for 2 miutes, roll back
                print "Forcing Unlock"
                connection.rollback()

            time.sleep(0.05)    
            try_count += 0.05


def conn_comit( connection ):
    done        = False
    try_count   = 0.0
    while not done:
        try:
            connection.commit()
            done = True
        except sqlite.IntegrityError:
            # Ignore this error because it means the item already exists in the database
            done = True
        except Exception, error:
            if try_count%60.0 == 0.0:       # print error every minute
                print "\t" , "Error executing command" , cmd_str
                print "Message:" , error

            if try_count%120.0 == 0.0:      # if waited for 2 miutes, roll back
                print "Forcing Unlock"
                connection.rollback()

            time.sleep(0.05)    
            try_count += 0.05       




##################
#### Run Code ####
##################
connection = sqlite.connect( db_path )
cursor = connection.cursor()
# Create tables if database does not exist
conn_exec( connection , cursor , '''CREATE TABLE IF NOT EXISTS fix (path TEXT PRIMARY KEY);''')
conn_exec( connection , cursor , '''CREATE TABLE IF NOT EXISTS tx (path TEXT PRIMARY KEY);''')
conn_exec( connection , cursor , '''CREATE TABLE IF NOT EXISTS completed (fix DATE, tx DATE);''')
conn_comit( connection )

由于某种原因，数据库被锁定了。以下是我的解决方法。

我将sqlite文件下载到我的系统(FTP) 删除在线sqlite文件 将文件上传到主机提供商

现在可以正常工作了。

有些函数，比如INDEX'ing，可能会花费很长时间——而且在运行时它会锁定整个数据库。在这种情况下，它甚至可能不使用日志文件!

因此，最好/唯一的方法来检查您的数据库是否被锁定，因为一个进程正在积极地写入它(因此你应该让它独自呆着，直到它完成它的操作)是md5(或md5sum在某些系统)文件两次。 如果你得到一个不同的校验和，数据库正在被写入，你真的真的真的不想杀死这个进程，因为如果你这样做，你很容易得到一个损坏的表/数据库。

我要重申一下，因为这很重要——解决方案不是找到锁程序并杀死它——而是找出数据库是否有一个很好的写锁，然后从那里开始。有时候正确的解决方法就是喝杯咖啡休息一下。

The only way to create this locked-but-not-being-written-to situation is if your program runs BEGIN EXCLUSIVE, because it wanted to do some table alterations or something, then for whatever reason never sends an END afterwards, and the process never terminates. All three conditions being met is highly unlikely in any properly-written code, and as such 99 times out of 100 when someone wants to kill -9 their locking process, the locking process is actually locking your database for a good reason. Programmers don't typically add the BEGIN EXCLUSIVE condition unless they really need to, because it prevents concurrency and increases user complaints. SQLite itself only adds it when it really needs to (like when indexing).

Finally, the 'locked' status does not exist INSIDE the file as several answers have stated - it resides in the Operating System's kernel. The process which ran BEGIN EXCLUSIVE has requested from the OS a lock be placed on the file. Even if your exclusive process has crashed, your OS will be able to figure out if it should maintain the file lock or not!! It is not possible to end up with a database which is locked but no process is actively locking it!! When it comes to seeing which process is locking the file, it's typically better to use lsof rather than fuser (this is a good demonstration of why: https://unix.stackexchange.com/questions/94316/fuser-vs-lsof-to-check-files-in-use). Alternatively if you have DTrace (OSX) you can use iosnoop on the file.