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pyNCDU

This is a collection of three scripts to be used as an NCDU granular disk usage reporting orchestration tool for very large filesystems (>1PB). The goal is to run scheduled NCDU reports using pyncdu.py and store the results compressed and ship them off to an archive server. The archive server will then use the check_ncdu_gzip.py and the ncdu_summary.py scripts to parse and report the sizes in Nagios return code format so overall fileystem growth can be graphed and alerted on over time.

pyncdu.py

Copy this file down to the server that has access to the large filesystem. In this case it is one of the Hadoop nodes. Also copy the runningconfig.ini file down to the same directory as the pyncdu.py script. In my case I just copied the two files to the /root/pyncdu directory.

The script is essentially a helper for running the following sequence of commands:

ncdu -1xo- /mapr/mapr.contoso.com/user | gzip /tmp/ncdu-output-user.gz

then it takes that file and moves it off to an archive server of you choice by runnning

scp -i /root/.ssl/dreamcatcher /tmp/ncdu-output-user.gz root@dodreamcatcher1.docl.nic:/root/ncdu-archives/ncdu-output-user.gz

In addition to the timestamped file it transfers another file with the -LATEST moniker overwriting the previous -LATEST file.

Basic usage of the pyncdu.py scrpt.

Usage: pyncdu.py [--debug] [--printtostdout] [--logfile] [--version] [--help] [--samplefileoption]

Options:
  --version             show program's version number and exit
  -h, --help            show this help message and exit
  -c FILE, --configfile=FILE
                        Path to the ini config file
                        (Default='runningconfig.ini')
  -j JOBNAME, --jobname=JOBNAME
                        Which job to run by name. This is the name: in the ini
                        file (Default=None)
  --fake                Boolean flag. If this option is present then no actual
                        ncdu commands will be run, just fake ones
                        (Default=False)

  Debug Options:
    -d DEBUG, --debug=DEBUG
                        Available levels are CRITICAL (3), ERROR (2), WARNING
                        (1), INFO (0), DEBUG (-1)
    -p, --printtostdout
                        Print all log messages to stdout
    -l FILE, --logfile=FILE
                        Desired filename of log file output. Default is
                        "pyncdu.py.log"

You can look at the provided runningconfig.ini for examples of how to set up jobs.

[global]
path_ncdu_executable: /usr/bin/ncdu

# location where temporary output files are stored
path_tempfile: /tmp/

# hostname IP of remote machine to SCP reports to
export_to_hostnameip: dodreamcatcher1.docl.nic

# username to use with scp to auth against the remote machine
export_to_username: root

# the private key identity file to use with the above username
export_to_identityfile_path: /root/.ssh/dreamcatcher

# the path on the remote machine in which to put report files
export_to_remotepath: /root/ncdu-archives/

# the prefix to use for all files
export_to_fileprefix: ncdu-output-

# every file will be named with a timestamp in this format (python datetime)
format_timestamp: %Y%m%d.%H%M%S


# now the list of 'jobs' which are paths that you want NCDU to scan and 
# provide a report for
# all path config sections must be prefixed with 'path_'

[path_01]
# the job name as a descriptor
name: user

# path that you want to want to scan with the ncdu command
path: /mapr/mapr.contoso.com/user


[path_02]
name: other
path: /mapr/mapr.contoso.com/

# excludes_list is optional. Each of these exclude paths
# will be used for the --exclude option with NCDU
excludes_list: [
        "/mapr/mapr.contoso.com/digital",
        "/mapr/mapr.contoso.com/datahub",
        "/mapr/mapr.contoso.com/stage",
        "/mapr/mapr.contoso.com/apps",
        "/mapr/mapr.contoso.com/apps",
        "/mapr/mapr.contoso.com/targetaudience"
    ]

Then you can schedule jobs with cron. See an example below of how you can schedule all jobs to run with cron.

0 * * * * /usr/bin/python /root/pyncdu/pyncdu.py --jobname trxnmatch >/dev/null 2>&1
10 * * * * /usr/bin/python /root/pyncdu/pyncdu.py --jobname user >/dev/null 2>&1
20 * * * * /usr/bin/python /root/pyncdu/pyncdu.py --jobname targetaudience >/dev/null 2>&1
25 * * * * /usr/bin/python /root/pyncdu/pyncdu.py --jobname logs >/dev/null 2>&1
35 * * * * /usr/bin/python /root/pyncdu/pyncdu.py --jobname apps >/dev/null 2>&1
40 * * * * /usr/bin/python /root/pyncdu/pyncdu.py --jobname stage >/dev/null 2>&1

# 45th minute of odd hours
45 1-23/2 * * * /usr/bin/python /root/pyncdu/pyncdu.py --jobname datahub >/dev/null 2>&1

# 30th minute of even hours
30 */2 * * * /usr/bin/python /root/pyncdu/pyncdu.py --jobname digital >/dev/null 2>&1

check_ncdu_gzip.py and ncdu_summary.py

Put these files on the same server you're using to store the archives. In this example it's dodreamcatcher1.docl.nic

Basic usage of the check_ncdu_gzip.py script is as follows:

Usage: check_ncdu_gzip.py [--debug] [--printtostdout] [--logfile] [--version] [--help] [--samplefileoption]

This script checks the output of the local
'zcat NCDUREPORT.gz | NCDUPARSERSCRIPT' command and reports
the total size of the path that the report represents.

It compares that size to warn_size and crit_size and acts
accordingly. Additionally the check will go critical if the
timestamp of the report is older than max_age

Designed to be used in conjunction with the 'ncdu_summary.py'
parser that spits out json details about the NCDU report file.

Usage Examples:
python check_ncdu_gzip.py --filename /root/ncdu-archives/ncdu-output-digital-LATEST.gz --display_units gb
OK parsed file /root/ncdu-archives/ncdu-output-digital-LATEST.gz and got size '127324.5097 gb' with total number of files '3019290' in parse_time '11.2743' sec  ; | 'total_size'=127324.5097GB;400000;500000;; 'total_files'=3019290;;;; 'parse_time'=11.2743s;;;;

python check_ncdu_gzip.py --filename ../ncdu-archives/ncdu-output-digital-20160617.134228.gz --display_units gb
WARNING parsed file ../ncdu-archives/ncdu-output-digital-20160617.134228.gz (35.281 hours old) and got size '128796.4786 gb' with total number of files '3064285' in parse_time '10.9055' sec  ; | 'total_size'=128796.4786GB;400000;500000;; 'total_files'=3064285;;;; 'file_age'=127011.6s;86400.0;;; 'parse_time'=10.9055s;;;;

python check_ncdu_gzip.py --filename ../ncdu-archives/ncdu-output-digital-20160617.134228.gz --display_units gb --max_age 44
OK parsed file ../ncdu-archives/ncdu-output-digital-20160617.134228.gz (35.290 hours old) and got size '128796.4786 gb' with total number of files '3064285' in parse_time '10.4379' sec  ; | 'total_size'=128796.4786GB;400000;500000;; 'total_files'=3064285;;;; 'file_age'=127044.0s;158400.0;;; 'parse_time'=10.4379s;;;;

python check_ncdu_gzip.py --filename ../ncdu-archives/ncdu-output-digital-LATEST.gz --display_units tb --max_age 1
OK parsed file ../ncdu-archives/ncdu-output-digital-LATEST.gz (0.543 hours old) and got size '124.3403 tb' with total number of files '3019427' in parse_time '11.3879' sec  ; | 'total_size'=124.3403TB;400000;500000;; 'total_files'=3019427;;;; 'file_age'=1954.8s;3600.0;;; 'parse_time'=11.3879s;;;;


Requires: NagPy library (https://github.com/rendicott/nagpy)
Requires: ncdu_parser.py


Options:
  --version             show program's version number and exit
  -h, --help            show this help message and exit
  --warn_size=WARN_SIZE
                        Warning level for the path size represented by this
                        NCDU report in GB. (Default=400000)
  --crit_size=CRIT_SIZE
                        Critical level for the path size represented by this
                        NCDU report in GB. (Default=500000)
  --max_age=MAX_AGE     Max age of the NCDU report's timestamp in hours.
                        (Default=24)
  --parse_timeout=PARSE_TIMEOUT
                        Timeout value in seconds. This determines how long we
                        wait for NCDU to to process the report before grabbing
                        the total size (Default=10)
  --parser_command=PARSER_COMMAND
                        Path to parser application (Default='/usr/bin/python
                        ncdu_summary.py'
  --display_units=DISPLAY_UNITS
                        Display units for parsed size. Valid units are
                        kb,mb,gb,tb (Default='gb')
  --filename=FILENAME   The full path of the filename to check. (Default=None)

  Debug Options:
    -d DEBUG, --debug=DEBUG
                        Available levels are CRITICAL (3), ERROR (2), WARNING
                        (1), INFO (0), DEBUG (-1)
    -p, --printtostdout
                        Print all log messages to stdout
    -l FILE, --logfile=FILE
                        Desired filename of log file output. Default is
                        "check_ncdu_gzip.py.log"

The ncdu_summary.py script is just a simple parser for the NCDU report files. I wrote it because I couldn't figure out a way to get the ncdu -1f- command to give me a simple size summary to STDOUT. The script is mildly speed optimized but I realize it's probably not perfect so I designed check_ncdu_summary.py so that you could write your own parser as long as it spits out a JSON summary like this:

zcat ncdu-report.gz | python ncdu_summary.py
{"total_lines":424143,"total_size":359849564548,"parse_time":2.67200016975}

Nagios Checks

On the same node you're using as your archive server (e.g., dodreamcatcher1.docl.nic) add a line in the local /etc/nrpe/npre.cfg file that looks like this:

command[check_ncdu_gzip]=python /usr/lib64/nagios/plugins/check_ncdu_gzip.py --filename=$ARG1$ --warn_size=$ARG2$ --crit_size=$ARG3$ --max_age=$ARG4$ --parse_timeout=$ARG5$ --display_units=$ARG6$ --parser_command=$ARG7$

Define a new command in your Nagios config (e.g., commands.cfg) that looks like this:

define command {
    command_name    check_ncdu_gzip
######################################## filename | warn_size (gb) | crit_size (gb) | max_age (hrs) | parse_timeout (secs) | display_units (kb,mb,gb,tb) | parser_command
    command_line    /usr/lib/nagios/plugins/check_nrpe -H $HOSTADDRESS$ -t 20 -c check_ncdu_gzip -a $ARG1$ $ARG2$ $ARG3$ $ARG4$ $ARG5$ $ARG6$ /usr/lib64/nagios/plugins/ncdu_summary.py
}

Then you would define standard host and service checks to use the command like this. You would have one check for each job/path definition in the runningconfig.ini for pyncdu.py

################ HOST: dodreamcatcher1.docl.nic #############
#################  Used for disk usage reporting ############
define host {
    use             TPL-hst-mapr-dev,TPL-host-pnp
    hostgroups      HG-mapr-dev
    host_name       DODREAMCATCHER1
    address         dodreamcatcher1.docl.nic
    check_command   check-host-alive
}
define service{
        use                             TPL-svc-mapr-dev,TPL-srv-pnp
        host_name                       DODREAMCATCHER1
        service_description             Disk Usage Report - maprN - USER 
        check_command                   check_ncdu_gzip!/root/ncdu-archives/ncdu-output-user-LATEST.gz!400000!500000!24!15!gb
        _graphitepostfix                nrpe_ncdu_user
        }

define service{
        use                             TPL-svc-mapr-dev,TPL-srv-pnp
        host_name                       DODREAMCATCHER1
        service_description             Disk Usage Report - maprN - DIGITAL 
        check_command                   check_ncdu_gzip!/root/ncdu-archives/ncdu-output-digital-LATEST.gz!400000!500000!24!15!gb
        _graphitepostfix                nrpe_ncdu_digital
        }

define service{
        use                             TPL-svc-mapr-dev,TPL-srv-pnp
        host_name                       DODREAMCATCHER1
        service_description             Disk Usage Report - maprN - TARGETAUDIENCE 
        check_command                   check_ncdu_gzip!/root/ncdu-archives/ncdu-output-targetaudience-LATEST.gz!400000!500000!24!15!gb
        _graphitepostfix                nrpe_ncdu_targetaudience
        }

define service{
        use                             TPL-svc-mapr-dev,TPL-srv-pnp
        host_name                       DODREAMCATCHER1
        service_description             Disk Usage Report - maprN - TRXNMATCH 
        check_command                   check_ncdu_gzip!/root/ncdu-archives/ncdu-output-trxnmatch-LATEST.gz!400000!500000!24!15!gb
        _graphitepostfix                nrpe_ncdu_trxnmatch
        }

Screenshots

Here's showing how you can use the metrics output from the checks to send to Graphite and graph disk usage over time.

pyNcdu metrics visualized in Graphite

pyNcdu checks in Nagios

Here's the result of comparing the output of commands zcat archive1.tar.gz | grep ncdu -f - and zcat archive2.tar.gz | grep ncdu -f - in order to see what files caused the bump. comparing archived scan before size bump

comparing archived scan after size bump

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