Split filter plugin
Takes a single event with an array-valued field and produces one output event per array element, copying all other fields onto each child event.
- Package:
logstash-filter-split - Coverage source: default/bundled
- Official catalog entry: Yes
Plugin overview
split is used in the Logstash filter stage. Splits arrays or multiline data into separate events.
Typical use cases
- Transform fields before indexing to keep schema and naming consistent.
- Prepare high-quality fields for alerts, dashboards, and downstream pipelines.
Input and output behavior
- Flow: Creates multiple events from one field value (array or split string).
- Input field:
field(default:"message"). - Output target: controlled by
target. - Important options:
field,target,terminator.
Options
Required
- No required plugin-specific options.
Optional
field(type: string; default:"message") — Field that holds the array to split over.target(type: string; default: none) — Field on each child event where the individual element is written (defaults to the source field).terminator(type: string; default:"\n") — String terminator used to split a string field into an array before splitting.
Example configuration
filter {
split {
field => "[events]"
target => "[event]"
}
}Common options configuration
All Logstash filter plugins support these shared options:
add_field(type: hash; default:{}) — Adds fields when the filter succeeds. Supports dynamic field names and values.add_tag(type: array; default:[]) — Adds one or more tags when the filter succeeds.enable_metric(type: boolean; default:true) — Enables or disables metric collection for this plugin instance.id(type: string; default:none) — Sets an explicit plugin instance ID for monitoring and troubleshooting.periodic_flush(type: boolean; default:false) — Calls the filter flush method at regular intervals.remove_field(type: array; default:[]) — Removes fields when the filter succeeds. Supports dynamic field names.remove_tag(type: array; default:[]) — Removes tags when the filter succeeds.
filter {
split {
add_field => { "pipeline_stage" => "parsed" }
add_tag => ["parsed", "logstash_filter"]
enable_metric => true
id => "my_filter_instance"
periodic_flush => false
remove_field => ["tmp_field"]
remove_tag => ["temporary"]
}
}Apply in Logit.io
- Open your stack in Logit.io and navigate to Logstash Pipelines.
- In the
filter { ... }section, add asplitblock. - Save your pipeline changes, then restart the Logstash pipeline if prompted.
- Send sample events and verify parsed/enriched fields in OpenSearch Dashboards.
Validation checklist
- Confirm the
splitblock compiles without syntax errors. - Verify expected new/updated fields exist in sample documents.
- Verify unexpected fields are not removed unless explicitly configured.
- Confirm tags added on success/failure align with your alerting and routing rules.
Troubleshooting
- If events are unchanged, verify your filter condition (
if ...) matches incoming events. - If the pipeline fails to start, validate braces/quotes and retry with a minimal filter block.
- If throughput drops, reduce expensive operations and test with representative sample volume.
References
- GitHub package:
logstash-filter-split(opens in a new tab) - Canonical catalog: /log-management/ingestion-pipeline/logstash-filters-reference