Whisper

Overview

Whisper is one of three components within the Graphite project:

1. Graphite-Web, a Django-based web application that renders graphs and dashboards
2. The Carbon metric processing daemons
3. The Whisper time-series database library

Whisper is a fixed-size database, similar in design and purpose to RRD (round-robin-database). It provides fast, reliable storage of numeric data over time. Whisper allows for higher resolution (seconds per point) of recent data to degrade into lower resolutions for long-term retention of historical data.

Installation, Configuration and Usage

Please refer to the instructions at readthedocs.

Whisper Scripts

rrd2whisper.py

Convert a rrd file into a whisper (.wsp) file.

Usage: rrd2whisper.py rrd_path

Options:
  -h, --help            show this help message and exit
  --xFilesFactor=XFILESFACTOR
                        The xFilesFactor to use in the output file. Defaults
                        to the input RRD's xFilesFactor
  --aggregationMethod=AGGREGATIONMETHOD
                        The consolidation function to fetch from on input and
                        aggregationMethod to set on output. One of: average,
                        last, max, min

whisper-create.py

Create a new whisper database file.

Usage: whisper-create.py path timePerPoint:timeToStore [timePerPoint:timeToStore]*
       whisper-create.py --estimate timePerPoint:timeToStore [timePerPoint:timeToStore]*

timePerPoint and timeToStore specify lengths of time, for example:

60:1440      60 seconds per datapoint, 1440 datapoints = 1 day of retention
15m:8        15 minutes per datapoint, 8 datapoints = 2 hours of retention
1h:7d        1 hour per datapoint, 7 days of retention
12h:2y       12 hours per datapoint, 2 years of retention


Options:
  -h, --help            show this help message and exit
  --xFilesFactor=XFILESFACTOR
  --aggregationMethod=AGGREGATIONMETHOD
                        Function to use when aggregating values (average, sum,
                        last, max, min)
  --overwrite
  --estimate            Don't create a whisper file, estimate storage requirements based on archive definitions

whisper-dump.py

Dump the metadata about a whisper file to stdout.

Usage: whisper-dump.py path

Options:
  -h, --help  show this help message and exit

whisper-fetch.py

Fetch all the metrics stored in a whisper file to stdout.

Usage: whisper-fetch.py [options] path

Options:
  -h, --help     show this help message and exit
  --from=_FROM   Unix epoch time of the beginning of your requested interval
                 (default: 24 hours ago)
  --until=UNTIL  Unix epoch time of the end of your requested interval
                 (default: now)
  --json         Output results in JSON form
  --pretty       Show human-readable timestamps instead of unix times
  --drop=DROP    Specify 'nulls' to drop all null values. Specify 'zeroes' to
                 drop all zero values. Specify 'empty' to drop both null and
                 zero values.

whisper-info.py

Usage: whisper-info.py path [field]

Options:
  -h, --help  show this help message and exit

whisper-merge.py

Join two existing whisper files together.

Usage: whisper-merge.py [options] from_path to_path

Options:
  -h, --help  show this help message and exit

whisper-fill.py

Copies data from src in dst, if missing. Unlike whisper-merge, don't overwrite data that's already present in the target file, but instead, only add the missing data (e.g. where the gaps in the target file are). Because no values are overwritten, no data or precision gets lost. Also, unlike whisper-merge, try to take the highest-precision archive to provide the data, instead of the one with the largest retention.

Usage: whisper-fill.py [options] src_path dst_path

Options:
  -h, --help  show this help message and exit

whisper-resize.py

Change the retention rates of an existing whisper file.

Usage: whisper-resize.py path timePerPoint:timeToStore [timePerPoint:timeToStore]*

timePerPoint and timeToStore specify lengths of time, for example:

60:1440      60 seconds per datapoint, 1440 datapoints = 1 day of retention
15m:8        15 minutes per datapoint, 8 datapoints = 2 hours of retention
1h:7d        1 hour per datapoint, 7 days of retention
12h:2y       12 hours per datapoint, 2 years of retention


Options:
  -h, --help            show this help message and exit
  --xFilesFactor=XFILESFACTOR
                        Change the xFilesFactor
  --aggregationMethod=AGGREGATIONMETHOD
                        Change the aggregation function (average, sum, last,
                        max, min)
  --force               Perform a destructive change
  --newfile=NEWFILE     Create a new database file without removing the
                        existing one
  --nobackup            Delete the .bak file after successful execution
  --aggregate           Try to aggregate the values to fit the new archive
                        better. Note that this will make things slower and use
                        more memory.

whisper-set-aggregation-method.py

Change the aggregation method of an existing whisper file.

Usage: whisper-set-aggregation-method.py path <average|sum|last|max|min>

Options:
  -h, --help  show this help message and exit

whisper-update.py

Update a whisper file with 1 or many values, must provide a time stamp with the value.

Usage: whisper-update.py [options] path timestamp:value [timestamp:value]*

Options:
  -h, --help  show this help message and exit

whisper-diff.py

Check the differences between whisper files. Use sanity check before merging.

Usage: whisper-diff.py [options] path_a path_b

Options:
  -h, --help      show this help message and exit
  --summary       show summary of differences
  --ignore-empty  skip comparison if either value is undefined
  --columns       print output in simple columns
  --no-headers    do not print column headers

License

Whisper is licensed under version 2.0 of the Apache License. See the LICENSE file for details.