Time series database, backend for graphite, fast alternative to carbon + whisper.
Features:
- Low disk usage (IOPS) for metric store, it depends from actual data volumes instead of a number of metrics (in case of whisper). Hisser was designed to process million of metrics.
- Fast queries. Optimized query parsing and response rendering (~3x boost comparing with vanilla graphite-web).
- Tag support.
- Drop-in replacement for whisper + carbon.
- Smart
aliasfunction which can expand{tag}and{0}(name part) variables. - 100% test coverage.
Table of Contents
Default options and documentation for them can be read in default config.
You can create custom configuration file and use --config cli option or
use HISSER_* environment variables to override default values.
For example HISSER_DATA_DIR will set DATA_DIR configuration
parameter.
Simplest way is to use official docker image:
docker run --rm -u $(id -u):$(id -g) -p 2003:2003 -p 8080:8080 -v /path/to/data:/data baverman/graphite-hisser
Port 2003 is a graphite protocol. 8080 is graphite API, you can point
grafana to it. In production you don't need 8080 port accessible from
external network. In this case you should use separate docker network
and map 2003 port only or use --network host and specify GRAPHITE_BIND=127.0.0.1:8080
envvar.
IMPORTANT! To use tag support with grafana you need grafana 5.x and set graphite
version 1.1.x in storage settings.
Note: for grafana you can use tiny grafana image.
Hisser is a very simple metric storage. All heavy work is done by lmdb. Metrics are organized into blocks (lmdb databases). Each block contains all metrics and their data for particular amount of time. Blocks with same resolution are grouped under corresponding directory:
Example data layout:
data_dir/ ├── 300 # resolution (1 data point every 5-minute) │ ├── 1533990300.519.hdb # timestamp-of-block-start.number-of-points.hdb │ ├── 1534621800.191.hdb │ ├── 1534679100.48.hdb │ └── blocks.state # lock file ├── 60 # resolution (1 data point every minute) │ ├── 1534621920.700.hdb │ ├── 1534663920.320.hdb │ ├── 1534683120.160.hdb │ ├── 1534692720.40.hdb │ ├── 1534695120.11.hdb │ ├── 1534695900.6.hdb │ └── blocks.state └── metric.index # metric name and tag index
This layout allows to dump data from memory buffer very efficiently (whisper needs one io-operation per metric and can kneel a host with several hundreds of metrics).
If points in memory exceed BUFFER_FLUSH_SIZE it will be
flushed into separate block:
+----------+----------+----------+ | block1 | block2 | block3 | resolution 60 +----------+----------+----------+
From time to time small blocks are merged into greater one:
+---------------------+----------+ | block12 | block3 | resolution 60 +---------------------+----------+
And from time to time big blocks are downsampled into blocks with lower resolution:
+---------------------+----------+
| block12 | block3 | resolution 60
+---------------------+----------+
|
v
+----------+
| block12' | resolution 300
+----------+
Yes, it is very simple.
But there is a better alternative to whisper. InfluxDB!
Yes, InfluxDB is a way better than whisper. But is has some drawbacks comparing to hisser.
- Requires more data space.
- Consumes more IOPS, memory and CPU.
- Needs manual retention configuration.
- Slower to query.
- Implicit metric grouping can lead to confusing graphs in grafana.
You have to limit groups to explicit tag values or do
group by $tag.