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Hi All...
We are developing a custom translator to log modifications
to files
(including creation, update and deletion) into database. This log is later used by several processes to perform asynchronous operations such as indexing recently modified files and updating
an off-site
backup for disaster recovery.
Once this is completed we plan to share
the translator with the
community if anyone is interested in
it.
Our Current Approach: By reviewing the Gluster and FUSE source code and documentation,
we
concluded that the following FOPs should be monitored for this purpose: open, create, mknod, truncate, ftruncate, writev, flush, release, unlink
and
rename. We would like to insert one record per each file modification, hence we need a mechanism to aggregate multiple operations such as open, writev and flush over one file-descriptor into a single update. For performance sake and preventing dirty reads, we would like to do a database row insertion in the callback of the very last action that is performed. By other means, during write we just set flags as modified in file descriptor context and perform the insert in the very last
action.
The major issue is that (as most of the docs and FAQ indicated) there is no reliable mechanism to decide which FOP action is the last one. We monitored file system interaction via trace module and noticed
that the flush action is called several times and release is never invoked in many cases. This issue forced us to log the very first flush which is quite problematic for a number of reasons including the fact that we can never be sure the
operation is finished before triggering any of
our asynchronous operations
and we are slowing down the initial write because we are
waiting on the
log action to complete.
Question:
Does anyone have a better solution for this issue? Perhaps there should be a mechanism to notify us of the closing of a file, otherwise an open
file
descriptor will remain forever.
We would really love to find any other reliable method that allows us to
track these operations at a higher level.
We would greatly appreciate any new approach that can overcome these deficiencies.
Thanks in Advance - Drew Morris
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