Data retention

Search…
StackState version 4.4
Data retention
Configure the data retention parameters
Overview
StackState imposes data retention limits to save storage space and improve performance. You can configure the data retention period to provide a balance between the amount of data stored, StackState performance, and data availability.
Retention of topology graph data
By default topology graph data will be retained for 8 days. This works in a way that the latest state of topology graph will always be retained; only history older than 8 days will be removed. You can check and alter the configured retention period this using the StackState CLI.
1
# Check the current retention period
2
sts graph retention get-window
Copied!
In some cases, it may be useful to keep historical data for more than eight days.
1
# Set the configured retention period to 10 days
2
sts graph retention set-window --window 864000000
Copied!
(note that time value is provided in milliseconds - 10 days equals 864000000 milliseconds)
Please note that by adding more time to the data retention period, the amount of data stored is also going to grow and need more storage space. This may also affect the performance of the Views.
After the new retention window is applied, you can schedule a new removal with this command:
1
# Schedule a new removal
2
sts graph retention set-window --schedule-removal
Copied!
After changing the retention period to a smaller window, you may end up with some data that is already expired and will wait there until the next scheduled cleanup. To schedule an additional removal of expired data, use the following command:
Please note that this may take some time to have an effect.
1
# Schedule removal of expired data
2
sts graph retention remove-expired-data
Copied!
However, if you would like to perform data deletion without having to wait for an additional scheduled cleanup, you can use --immediately argument:
1
# Remove expired data immediately
2
sts graph retention remove-expired-data --immediately
Copied!
Retention of events, metrics and traces
StackState data store
If you are using the event/metrics/traces store provided with StackState, your data will by default be retained for 30 days. In most cases, the default settings will be sufficient to store all indices for this amount of time.
Configure disk space for Elasticsearch
In some circumstances it may be necessary to adjust the disk space available to Elasticsearch and how it is allocated to each index group, for example if you anticipate a lot of data to arrive for a specific index.
Kubernetes
Linux
The settings can be adjusted by using environment variables to override the default configuration of the parameters described below.
Note that elasticsearchDiskSpaceMB will scale automatically based on the disk space available to Elasticsearch in Kubernetes.
The settings can be adjusted in the file /opt/stackstate/etc/kafka-to-es/application.conf using the parameters described below.
Parameter
Default
Description
elasticsearchDiskSpaceMB
400000
The total disk space assigned to Elasticsearch in MB. The default setting is the recommended disk space for a StackState production setup (400GB).
splittingStrategy
"days"
The frequency of creating new indices. Can be one of "none", "hours", "days", "months" or "years". If "none" is specified, only one index will be used.
maxIndicesRetained
30
The number of indices that will be retained in each index group. Together with the splittingStrategy governs how long historical data will be kept in Elasticsearch.
diskSpaceWeight
Varies per index group
Defines the share of disk space an index will get based on the total elasticsearchDiskSpaceMB.  If set to 0 then no disk space will be allocated to the index. See the disk space weight examples below.
replicas
Linux: 0 Kubernetes: 1
The number of nodes that a single piece of data should be available on. Use for redundancy/high availability when more than one Elasticsearch node is available.
Example application.conf
1
stackstate {
2
  ...
3
​
4
  // Total size of disk assigned to Elasticsearch in MB
5
  elasticsearchDiskSpaceMB = 400000
6
​
7
  ...
8
​
9
  // For each index group:
10
  // kafkaMetricsToES - the sts_metrics index
11
  // kafkaMultiMetricsToES - the sts_multi_metrics index
12
  // kafkaGenericEventsToES - the sts_generic_events index
13
  // kafkaTopologyEventsToES - the sts_topology_events index
14
  // kafkaStateEventsToES - the sts_state_events index
15
  // kafkaStsEventsToES - the sts_events index
16
  // kafkaTraceToES - the sts_trace_events index
17
​
18
  kafkaMultiMetricsToES {
19
    ...
20
    elasticsearch {
21
      index {
22
        splittingStrategy = "days"
23
        maxIndicesRetained = 30
24
        refreshInterval = 1s
25
        replicas = 0 // Default setup is single node
26
        diskSpaceWeight = 1
27
      }
28
    ...
29
    }
30
  }
31
  ...
32
}
Copied!
Disk space weight examples
Use the diskSpaceWeight configuration parameter to adjust how available disk space is allocated across Elasticsearch index groups. This is helpful if, for example, you expect a lot of data to arrive in a single index. Below are some examples of disk space weight configuration.
Allocate no disk space to an index group
Setting diskSpaceWeight to 0 will result in no disk space being allocated to an index group. For example, if you are not going to use traces, then you can stop reserving disk space for this index group and make it available to other index groups with the setting:
1
 kafkaTraceToES.elasticsearch.index.diskSpaceWeight = 0
Copied!
Distribute disk space unevenly across index groups
The available disk space (the configured elasticsearchDiskSpaceMB) will be allocated to index groups proportionally based on their configured diskSpaceWeight. Disk space will be allocated to each index group according to the formula below, this will then be shared between the indices in the index group:
1
# Total disk space allocated to an index group
2
index_group_disk_space = (elasticsearchdiskSpaceMB * diskSpaceWeight / sum(diskSpaceWeights)
Copied!
For example, with elasticsearchDiskSpaceMB = 300000, disk space would be allocated to the index groups and indexes be as follows:
Parameter
Index group disk space
kafkaMetricsToES.elasticsearch.index { diskSpaceWeight = 0 maxIndicesRetained = 20 }
0MB
kafkaMultiMetricsToES.elasticsearch.index { diskSpaceWeight = 1 maxIndicesRetained = 20 }
20,000MB or 300,000*1/15
kafkaGenericEventsToES.elasticsearch.index{ diskSpaceWeight = 2 maxIndicesRetained = 20 }
40,000MB or 300,000*2/15
kafkaTopologyEventsToES.elasticsearch.index{ diskSpaceWeight = 3 maxIndicesRetained = 20 }
60,000MB or 300,000*3/15
kafkaStateEventsToES.elasticsearch.index{ diskSpaceWeight = 4 maxIndicesRetained = 20 }
80,000MB or 300,000*4/15
kafkaStsEventsToES.elasticsearch.index{ diskSpaceWeight = 5 maxIndicesRetained = 20 }
100000MB or 300,000*5/15
kafkaTraceToES.elasticsearch.index{ diskSpaceWeight = 0 maxIndicesRetained = 20 }
0MB
External data store
If you have configured your own data source to be accessed by StackState, the retention policy is determined by the metric/event store that you have connected.
Manually created topology backup
Clear stored data
Last modified 2mo ago
Copy link
Contents
Overview
Retention of topology graph data
Retention of events, metrics and traces
StackState data store
External data store