Filebeat Scrubber performs operations on files that Filebeat has fully harvested.
Project description
Filebeat Scrubber
Filebeat Scrubber performs operations on files that Filebeat has fully harvested.
Currently, Filebeat Scrubber supports:
- Moving files to a custom destination directory.
- Permanently deleting files in place.
To do this, Filebeat Scrubber reads the Filebeat registry file for a list of all files that Filebeat has knowledge of. If a file has been fully harvested by Filebeat (i.e. bytes read = file size), it performs one of the actions listed above.
Since this application depends on the registry file containing accurate information, be sure to configure registry flushing for best results in your use case.
There is a fair bit of nuance when it comes to how Filebeat handles harvesting files that are being moved or deleted. Be sure to read and understand the close_* options and the clean_* options.
This README only serves as a simple guide and is in no way comprehensive. Official documentation from Filebeat supersedes this documentation. Any errors or omissions should be reported so they can be corrected.
Background
A common use case for logging is to write a file once (e.g. an event in JSON format) and never append to it again. Filebeat does not natively support deleting files that have been fully harvested. Therefore, a solution is needed to move or delete files once they have been fully harvested by Filebeat so that the system does not run out of inodes or disk space.
This use case has been discussed on the Beats Github page. In that discussion, a user suggested creating a custom solution that uses the data from the Filebeat registry file. And in fact, a user did just that in Ruby. Filebeat Scrubber, written in Python, was inspired by that project and the discussions in that thread.
Installation
Before you proceed, it is recommended you setup a virtual environment.
Filebeat Scrubber is available from PyPI:
pip install filebeat-scrubber
Usage
$ filebeat_scrubber --help
usage: filebeat_scrubber [-h] [--registry-file REGISTRY_FILE]
[--destination TARGET_DIRECTORY] [--move] [--remove]
[--verbose] [--summary] [--input-type TYPE]
[--file-filter FILTER_REGEX] [--older-than AGE]
Process fully harvested files from Filebeat input paths.
optional arguments:
-h, --help show this help message and exit
--registry-file REGISTRY_FILE
Full path to the Filebeat registry file. Default:
"/var/lib/filebeat/registry"
--destination TARGET_DIRECTORY
Directory to move fully harvested files to.
--move Move the fully harvested files.
--remove Remove (delete) the fully harvested files.
--verbose Verbose output logging.
--summary Print summary of I/O operations.
--input-type TYPE Filebeat input "type" to filter fully harvested files
on. This argument can be provided multiple times.
--file-filter FILTER_REGEX
Regex to filter fully harvested files with. The filter
is applied to the full path of the file. This argument
can be provided multiple times.
--older-than AGE The minimum age required, in seconds, since the
Filebeat harvester last processed a file before it can
be scrubbed.
NOTE: This script must be run as a user that has permissions to access the
Filebeat registry file and any input paths that are configured in Filebeat.
Example
This example demonstrates handling multi-line JSON files that are only written once and not updated from time to time.
Filebeat Input Configuration
This configuration assumes that you have multi-line JSON files, and have separated files which are single objects into one naming scheme, and arrays of objects into another scheme. If you only have one type, customize this configuration as you see fit. This is provided purely as an example using Filebeat 6. Your configuration will probably need to be different.
filebeat.registry_flush: 5s
filebeat.inputs:
- type: log
paths:
- tests/json_files/object_*.json
close_removed: true
clean_removed: true
multiline.pattern: ^\{
multiline.negate: true
multiline.match: after
multiline.timeout: 5s
- type: log
paths:
- tests/json_files/array_*.json
close_removed: true
clean_removed: true
multiline.pattern: ^\[
multiline.negate: true
multiline.match: after
multiline.timeout: 5s
Using a registry_flush
of 5 seconds ensures that the registry file is updated
on a regular interval instead of every time events are published. If you are
publishing a lot of events, using an interval can improve Filebeat performance
at the expense of registry accuracy. Configure this for your use case and needs.
Using close_removed
tells Filebeat to close the harvester for a file when the
file is removed (moved or deleted). This is on by default, but set explicitly
here for clarity. Another option is using close_eof
, which tells Filebeat to
close a file once the harvester has reached the end of the file. This option
can lead to data loss if files are not written atomically (the harvester may
reach the end of the file before all of the data has been written to it).
Using clean_removed
tells Filebeat to clean a file entry from the registry
if the file cannot be found on disk anymore under the last known name. This
prevents the Filebeat registry from becoming cluttered with data on files that
have been removed and that will never return. This is on by default, but set
explicitly here for clarity.
Using multiline.*
settings accounts for the JSON being in multi-line (pretty-
printed/indented) format. If your JSON is on a single line, these settings
should not be necessary. It is also possible to reverse these settings, and
instead have multiline.match: before
with multiline.pattern: ^\]
or
multiline.pattern: ^\}
. With these settings, it should not rely on the
multiline.timeout
to trigger the event publishing, assuming all of the data
is available in the file at the time the harvester reads it. Using atomic
writes can ensure this.
Filebeat Scrubber Command
IMPORTANT If your Filebeat is configured to also process regular appending log files, it is important to add filters to Filebeat Scrubber so that it does not operate on files you do not intend it to. If you do not do this, you may experience data loss!
Moving Harvested Files
Example of moving fully harvested files to a separate directory.
filebeat_scrubber \
--move \
--destination /tmp/fb-scrubber \
--input-type log \
--file-filter \.json$
If you want to delete these files at a later time, the following command will delete any files older than 1 day:
$ find /tmp/fb-scrubber -type f -ctime +1 -delete
Deleting Harvested Files in Place
Example of deleting fully harvested files in place.
filebeat_scrubber \
--remove \
--input-type log \
--file-filter \.json$
Development
This project uses tox.
Grab the source code and setup your development environment using a virtual environment:
git clone git@github.com:barqshasbite/filebeat-scrubber.git
cd filebeat-scrubber
mkvirtualenv -p python3 filebeat-scrubber
pip install -r requirements.txt
Then build the project:
tox
This will run static code analysis, tests, and packaging. Built packages can be
found in dist/
. An HTML report of test coverage can be found in
reports/htmlcov/index.html
.
End to End Testing
Install the current source code of Filebeat Scubber into your virtual environment:
python setup.py install
Make sure you have Filebeat installed. E.g.:
sudo apt-get install filebeat
Start a local Filebeat instance using the provided test config file:
filebeat \
-e \
-c filebeat.yml \
--path.config tests/config_files/ \
--path.data tests/sandbox/
Start the JSON file generator to automatically create JSON files in the test directory:
python tests/tools/generate_json_files.py \
--number 1000 \
--delay 10 \
--indent 4 \
--destination tests/json_files
Start the Filebeat Scrubber to inspect which files can be scrubbed:
watch filebeat_scrubber \
--registry-file tests/sandbox/registry \
--verbose \
--summary \
--input-type log \
--file-filter object_.*\.json
Since --move
and --remove
are not provided, no action will be performed
and only information about what would happen is printed to the console.
Add --move
or --remove
if you wish to test the operations for real.
Cleanup
Delete files that were created from the testing:
rm -rf tests/json_files tests/sandbox
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