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

  1. Open your stack in Logit.io and navigate to Logstash Pipelines.
  2. In the filter { ... } section, add a split block.
  3. Save your pipeline changes, then restart the Logstash pipeline if prompted.
  4. Send sample events and verify parsed/enriched fields in OpenSearch Dashboards.

Validation checklist

  • Confirm the split block 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