checkpoint.so

berkeley db 4.6.21的源码。berkeley db是一个简单的数据库管理系统

m4_comment([$Id: checkpoint.so,v 10.22 2003/12/09 18:57:46 bostic Exp $])

m4_ref_title(m4_tam Applications,
    Checkpoints,
    checkpoints in @transaction protected applications,
    transapp/deadlock, transapp/archival)

m4_p([dnl
The second component of the infrastructure is performing checkpoints of
the log files.  Performing checkpoints is necessary for two reasons.])

m4_p([dnl
First, you may be able to remove m4_db log files from your database
environment after a checkpoint.  Change records are written into the log
files when databases are modified, but the actual changes to the
database are not necessarily written to disk.  When a checkpoint is
performed, changes to the database are written into the backing database
file.  Once the database pages are written, log files can be archived
and removed from the database environment because they will never be
needed for anything other than catastrophic failure.  (Log files which
are involved in active transactions may not be removed, and there must
always be at least one log file in the database environment.)])

m4_p([dnl
The second reason to perform checkpoints is because checkpoint frequency
is inversely proportional to the amount of time it takes to run database
recovery after a system or application failure.  This is because
recovery after failure has to redo or undo changes only since the last
checkpoint, as changes before the checkpoint have all been flushed to
the databases.])

m4_p([dnl
m4_db provides a separate utility, m4_ref(db_checkpoint), which can be
used to perform checkpoints.  Alternatively, applications can write
their own checkpoint utility using the underlying m4_ref(txn_checkpoint)
function.  The following code fragment checkpoints the database
environment every 60 seconds:])

include(ref/transapp/checkpoint.cs)

m4_p([dnl
Because checkpoints can be quite expensive, choosing how often to
perform a checkpoint is a common tuning parameter for m4_db
applications.])

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