在 SQL Server 2008 上使用 sqlalchemy 等待数据库恢复完成

发布于 2024-10-03 21:56:24 字数 496 浏览 6 评论 0原文

我正在尝试在开发过程中自动执行数据库恢复,在 SQL Server 2008 上使用 TSQL,使用 sqlalchemy 和 pyodbc 作为传输。

我正在执行的命令是:

"""CREATE DATABASE dbname

Restore database dbname FROM DISK='C:\Backups\dbname.bak' WITH REPLACE,MOVE 'dbname_data' TO 'C:\Databases\dbname_data.mdf',MOVE 'dbname_log' TO 'C:\Databases\dbname_log.ldf'"""

不幸的是,在 SQL Management Studio 中,代码运行后,我看到数据库仍处于“正在恢复...”状态。

如果我通过管理工作室恢复,它就可以工作。如果我使用子进程调用“sqlcmd”,它就可以工作。 pymssql 在身份验证方面存在问题,甚至还没有做到这一点。

可能出了什么问题?

I'm trying to automate my db restores during development, using TSQL on SQL Server 2008, using sqlalchemy with pyodbc as a transport.

The command I'm executing is:

"""CREATE DATABASE dbname

restore database dbname FROM DISK='C:\Backups\dbname.bak' WITH REPLACE,MOVE 'dbname_data' TO 'C:\Databases\dbname_data.mdf',MOVE 'dbname_log' TO 'C:\Databases\dbname_log.ldf'"""

Unfortunately, the in SQL Management Studio, after the code has run, I see that the DB remains in state "Restoring...".

If I restore through management studio, it works. If I use subprocess to call "sqlcmd", it works. pymssql has problems with authentication and doesnt even get that far.

What might be going wrong?

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评论(4

楠木可依 2024-10-10 21:56:24

BACKUP 和 RESTORE 语句异步运行,因此它们在继续执行其余代码之前不会终止。

使用 while 语句,如 http://ryepup.unwashedmeme.com/blog/2010/08/26/making-sql-server-backups-using-python-and-pyodbc/ 为我解决了这个问题:

# setup your DB connection, cursor, etc
cur.execute('BACKUP DATABASE ? TO DISK=?', 
            ['test', r'd:\temp\test.bak'])
while cur.nextset():
    pass

The BACKUP and RESTORE statements run asynchronously so they don't terminate before moving on to the rest of the code.

Using a while statement as described at http://ryepup.unwashedmeme.com/blog/2010/08/26/making-sql-server-backups-using-python-and-pyodbc/ solved this for me:

# setup your DB connection, cursor, etc
cur.execute('BACKUP DATABASE ? TO DISK=?', 
            ['test', r'd:\temp\test.bak'])
while cur.nextset():
    pass
薄情伤 2024-10-10 21:56:24

无法重现直接从 pyodbc(没有 sqlalchemy)恢复的问题,执行以下操作:

connection = pyodbc.connect(connection_string) # ensure autocommit is set to `True` in connection string
cursor = connection.cursor()
affected = cursor.execute("""CREATE DATABASE test
RESTORE DATABASE test FROM DISK = 'D:\\test.bak' WITH REPLACE, MOVE 'test_data' TO 'D:\\test_data.mdf', MOVE 'test_log' to 'D:\\test_log.ldf' """)
while cursor.nextset():
    pass

一些需要澄清的问题:

  • 使用 sqlalchemy 进行恢复的代码是什么?
  • 使用的 SQL Server ODBC 驱动程序版本是什么?
  • SQL Server 日志中是否有与还原相关的消息?

感谢 geographika 提供的Cursor.nextset() 示例!

Unable to reproduce the problem restoring directly from pyodbc (without sqlalchemy) doing the following:

connection = pyodbc.connect(connection_string) # ensure autocommit is set to `True` in connection string
cursor = connection.cursor()
affected = cursor.execute("""CREATE DATABASE test
RESTORE DATABASE test FROM DISK = 'D:\\test.bak' WITH REPLACE, MOVE 'test_data' TO 'D:\\test_data.mdf', MOVE 'test_log' to 'D:\\test_log.ldf' """)
while cursor.nextset():
    pass

Some questions that need clarification:

  • What is the code in use to do the restore using sqlalchemy?
  • What version of the SQL Server ODBC driver is in use?
  • Are there any messages in the SQL Server log related to the restore?

Thanks to geographika for the Cursor.nextset() example!

沩ん囻菔务 2024-10-10 21:56:24

对于 SQL Alchemy 用户,感谢 geographika 的回答:我最终使用了“原始”DBAPI 连接 来自连接池。

它与 geographika 的解决方案完全相同,但有一些额外的部分:

import sqlalchemy as sa
driver = 'SQL+Server'
name = 'servername'
sql_engine_str = 'mssql+pyodbc://'\
                     + name\
                     + '/'\
                     + 'master'\
                     + '?driver='\
                     + driver
engine = sa.create_engine(sql_engine_str, connect_args={'autocommit': True})

connection = engine.raw_connection()
try:
  cursor = connection.cursor()
  sql_cmd = """
        RESTORE DATABASE [test]
        FROM DISK = N'...\\test.bak'
        WITH FILE = 1,
         MOVE N'test'
         TO N'...\\test_Primary.mdf',
         MOVE N'test_log'
         TO N'...\\test_log.ldf',
         RECOVERY,
         NOUNLOAD,
         STATS = 5,
         REPLACE
        """
  cursor.execute(sql_cmd)
  while cursor.nextset():
       pass
except Exception as e:
  logger.error(str(e), exc_info=True)

For SQL Alchemy users, and thanks to geographika for the answer: I ended up using the “raw” DBAPI connection from the connection pool.

It is exactly as geographika's solution but with a few additional pieces:

import sqlalchemy as sa
driver = 'SQL+Server'
name = 'servername'
sql_engine_str = 'mssql+pyodbc://'\
                     + name\
                     + '/'\
                     + 'master'\
                     + '?driver='\
                     + driver
engine = sa.create_engine(sql_engine_str, connect_args={'autocommit': True})

connection = engine.raw_connection()
try:
  cursor = connection.cursor()
  sql_cmd = """
        RESTORE DATABASE [test]
        FROM DISK = N'...\\test.bak'
        WITH FILE = 1,
         MOVE N'test'
         TO N'...\\test_Primary.mdf',
         MOVE N'test_log'
         TO N'...\\test_log.ldf',
         RECOVERY,
         NOUNLOAD,
         STATS = 5,
         REPLACE
        """
  cursor.execute(sql_cmd)
  while cursor.nextset():
       pass
except Exception as e:
  logger.error(str(e), exc_info=True)
回忆躺在深渊里 2024-10-10 21:56:24

五件事解决了我的问题,具有相同的症状。

  1. 发现我的 test.bak 文件包含错误的 mdf 和 ldf 文件:

    <前><代码>>>> cursor.execute(r"从磁盘恢复文件列表 = 'test.bak'").fetchall()
    [(u'WRONGNAME', u'C:\\Program Files\\Microsoft SQL ...),
    (u'WRONGNAME_log', u'C:\\Program Files\\Microsoft SQL ...)]

  2. 创建了一个新的 bak 文件并确保设置仅复制备份选项< /p>

  3. 为我的连接设置自动提交选项。

    connection = pyodbc.connect(connection_string, autocommit=True)
    
  4. 仅将connection.cursor用于单个RESTORE命令,仅用于单个RESTORE命令,

  5. test_data MOVE更正为在我的 RESTORE 命令中进行测试(由 @beargle 提供)。

    affected=cursor.execute("""从磁盘恢复数据库测试='test.bak'并替换,将'test'移动到'C:\\test.mdf',将'test_log'移动到' C:\\test_log.ldf'""")
    

Five things fixed my problem with identical symptoms.

  1. Found that my test.bak file contained the wrong mdf and ldf files:

    >>> cursor.execute(r"RESTORE FILELISTONLY FROM DISK = 'test.bak'").fetchall()    
    [(u'WRONGNAME', u'C:\\Program Files\\Microsoft SQL ...),
    (u'WRONGNAME_log', u'C:\\Program Files\\Microsoft SQL ...)]
    
  2. Created a new bak file and made sure to set the copy-only backup option

  3. Set the autocommit option for my connection.

    connection = pyodbc.connect(connection_string, autocommit=True)
    
  4. Used the connection.cursor only for a single RESTORE command and nothing else

  5. Corrected the test_data MOVE to test in my RESTORE command (courtesy of @beargle).

    affected = cursor.execute("""RESTORE DATABASE test FROM DISK = 'test.bak' WITH REPLACE, MOVE 'test' TO 'C:\\test.mdf', MOVE 'test_log' to 'C:\\test_log.ldf' """)
    
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