Enable Time Series Integration Layer
Set the following property in ${OPENNMS_HOME}/etc/opennms.properties
to configure Meridian to use the Time Series Integration Layer:
org.opennms.timeseries.strategy=integration
After activating the Time Series Integration Layer, you need to start an actual implementation.
Do this via Karaf.
Here is an example of how to activate the in memory time series
plugin:
clone & build:
> git clone git@github.com:opennms-forge/timeseries-integration-inmemory.git
> mvn install
in Karaf shell:
> bundle:install -s mvn:org.opennms.plugins.timeseries.inmemory/timeseries-inmemory-plugin/1.0.0-SNAPSHOT
For specific instructions, check your plugin description.
We also highly recommend that you reference resources stored in the Time Series Integration Layer by their foreign source and foreign ID, as opposed to their database ID. To this end, set the following property in the same file:
org.opennms.rrd.storeByForeignSource=true
With these set, upon restart, Meridian begins persisting metrics using the Time Series Integration Layer.
Additional configuration options
Use the following properties, found in ${OPENNMS_HOME}/etc/opennms.properties
, to configure and tune the Time Series Integration Layer.
Name | Description | Default |
---|---|---|
org.opennms.timeseries.config.ring_buffer_size |
Maximum number of records that can be held in the ring buffer. Must be a power of two. |
8192 |
org.opennms.timeseries.config.writer_threads |
Number of threads used to pull samples from the ring buffer and insert them into the time-series database. |
16 |
org.opennms.timeseries.query.minimum_step |
Minimum step size in milliseconds. Used to prevent large queries. |
300000 |
org.opennms.timeseries.query.interval_divider |
If the query does not specify an interval, the step will be divided into this many intervals when aggregating values. |
2 |
org.opennms.timeseries.query.heartbeat |
Duration in milliseconds. Used when no heartbeat is specified. Should generally be 1.5x your largest collection interval. |
450000 |
org.opennms.timeseries.query.parallelism |
Maximum number of threads that can be used to compute aggregates. Defaults to the number of available cores. |
Number of cores |
cache.timeseriesPersisterMetaTagCache.expireAfterRead |
Expiry time in seconds for MetaTagCache |
300 |
cache.timeseriesPersisterMetaTagCache.maximumSize |
Maximum size for MetaTagCache |
8192 |
cache.timeseriesPersisterMetaTagCache.recordStats |
Should cache statistics be exposed via JMX for MetaTagCache? |
true |
cache.timeseriesSearcherCache.expireAfterRead |
Expiry time in seconds for TimeseriesSearcherCache |
300 |
cache.timeseriesSearcherCache.maximumSize |
Maximum size for TimeseriesSearcherCache |
8192 |
cache.timeseriesSearcherCache.recordStats |
Should cache statistics be exposed via JMX for TimeseriesSearcherCache? |
true |
cache.timeseriesMetaDataCache.expireAfterRead |
Expiry time in seconds for TimeseriesMetaDataCache |
300 |
cache.timeseriesMetaDataCache.maximumSize |
Maximum size for TimeseriesMetaDataCache |
8192 |
cache.timeseriesMetaDataCache.recordStats |
Should cache statistics be exposed via JMX for TimeseriesMetaDataCache? |
true |
Recommendations
The Time Series Integration Layer includes several caches to improve performance. You can tune the cache settings to suit your needs, using the parameters above.
Name | Description |
---|---|
TimeseriesMetaDataCache |
Caches metadata that uses Meridian internally. |
TimeseriesSearcherCache |
Caches metrics by tag to improve the resource lookup. |
TimeseriesPersisterMetaTagCache |
Caches all additionally configured and resolved meta-tag values by resource. |
The samples the collectors gather are temporarily stored in a ring buffer before they are persisted to the Time Series Integration Layer. Increase the value of the ring_buffer_size if you expect large peaks of collectors returning at once or latency in persisting these. However, note that the memory the ring buffer uses is reserved, and larger values may require an increased heap size.
Expose additional meta tags
Metrics that are stored via the time series plugin contain the minimal set of tags for Meridian to work.
This might not be sufficient if you also use the data outside of Meridian.
Configure additional meta tags via a .properties
file in the ${OPENNMS_HOME}/etc/opennms.properties.d/
directory.
The configuration of the tags has the following form:
prefix.tagKey=${query expression}
-
The prefix is:
org.opennms.timeseries.tin.metatags.tag
-
The tagKey can be an arbitrary string as long as it does not break the Java properties file syntax.
-
The query expression lets you query the value. Supports use of the Metadata DSL.
Examples:
-
org.opennms.timeseries.tin.metatags.tag.nodelabel=${node:label}
-
org.opennms.timeseries.tin.metatags.tag.sysObjectID=${node:sys-object-id}
Expose categories by setting org.opennms.timeseries.tin.metatags.exposeCategories
to true
.
-
org.opennms.timeseries.tin.metatags.exposeCategories=true
Will lead to:
-
Tag("cat_myFirstCategory", "myFirstCategory")
-
Tag("cat_mySecondCategory", "mySecondCategory")