- Filebeat Reference: other versions:
- Overview
- Get started
- Set up and run
- Upgrade
- How Filebeat works
- Configure
- Inputs
- General settings
- Project paths
- Config file loading
- Output
- SSL
- Index lifecycle management (ILM)
- Elasticsearch index template
- Kibana endpoint
- Kibana dashboards
- Processors
- Define processors
- add_cloud_metadata
- add_docker_metadata
- add_fields
- add_host_metadata
- add_id
- add_kubernetes_metadata
- add_labels
- add_locale
- add_observer_metadata
- add_process_metadata
- add_tags
- community_id
- convert
- copy_fields
- decode_base64_field
- decode_cef
- decode_csv_fields
- decode_json_fields
- decompress_gzip_field
- dissect
- dns
- drop_event
- drop_fields
- extract_array
- fingerprint
- include_fields
- registered_domain
- rename
- script
- timestamp
- truncate_fields
- Autodiscover
- Internal queue
- Load balancing
- Logging
- HTTP endpoint
- Regular expression support
- filebeat.reference.yml
- How to guides
- Beats central management
- Modules
- Modules overview
- ActiveMQ module
- Apache module
- Auditd module
- AWS module
- Azure module
- CEF module
- Cisco module
- CoreDNS module
- Elasticsearch module
- Envoyproxy Module
- Google Cloud module
- haproxy module
- IBM MQ module
- Icinga module
- IIS module
- Iptables module
- Kafka module
- Kibana module
- Logstash module
- MISP module
- MongoDB module
- MSSQL module
- MySQL module
- nats module
- NetFlow module
- Nginx module
- Osquery module
- Palo Alto Networks module
- PostgreSQL module
- RabbitMQ module
- Redis module
- Santa module
- Suricata module
- System module
- Traefik module
- Zeek (Bro) Module
- Exported fields
- activemq fields
- Apache fields
- Auditd fields
- AWS fields
- Azure fields
- Beat fields
- Decode CEF processor fields fields
- CEF fields
- Cisco fields
- Cloud provider metadata fields
- Coredns fields
- Docker fields
- ECS fields
- elasticsearch fields
- Envoyproxy fields
- Google Cloud fields
- haproxy fields
- Host fields
- ibmmq fields
- Icinga fields
- IIS fields
- iptables fields
- Jolokia Discovery autodiscover provider fields
- Kafka fields
- kibana fields
- Kubernetes fields
- Log file content fields
- logstash fields
- MISP fields
- mongodb fields
- mssql fields
- MySQL fields
- nats fields
- NetFlow fields
- NetFlow fields
- Nginx fields
- Osquery fields
- panw fields
- PostgreSQL fields
- Process fields
- RabbitMQ fields
- Redis fields
- s3 fields
- Google Santa fields
- Suricata fields
- System fields
- Traefik fields
- Zeek fields
- Monitor
- Secure
- Troubleshoot
- Get help
- Debug
- Common problems
- Can’t read log files from network volumes
- Filebeat isn’t collecting lines from a file
- Too many open file handlers
- Registry file is too large
- Inode reuse causes Filebeat to skip lines
- Log rotation results in lost or duplicate events
- Open file handlers cause issues with Windows file rotation
- Filebeat is using too much CPU
- Dashboard in Kibana is breaking up data fields incorrectly
- Fields are not indexed or usable in Kibana visualizations
- Filebeat isn’t shipping the last line of a file
- Filebeat keeps open file handlers of deleted files for a long time
- Filebeat uses too much bandwidth
- Error loading config file
- Found unexpected or unknown characters
- Logstash connection doesn’t work
- @metadata is missing in Logstash
- Not sure whether to use Logstash or Beats
- SSL client fails to connect to Logstash
- Monitoring UI shows fewer Beats than expected
- Contribute to Beats
IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Decode CSV fields
editDecode CSV fields
editThis functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.
The decode_csv_fields
processor decodes fields containing records in
comma-separated format (CSV). It will output the values as an array of strings.
This processor is available for Filebeat and Journalbeat.
processors: - decode_csv_fields: fields: message: decoded.csv separator: "," ignore_missing: false overwrite_keys: true trim_leading_space: false fail_on_error: true
The decode_csv_fields
has the following settings:
-
fields
- This is a mapping from the source field containing the CSV data to the destination field to which the decoded array will be written.
-
separator
- (Optional) Character to be used as a column separator. The default is the comma character. For using a TAB character you must set it to "\t".
-
ignore_missing
-
(Optional) Whether to ignore events which lack the source
field. The default is
false
, which will fail processing of an event if a field is missing. -
overwrite_keys
-
Whether the target field is overwritten if it
already exists. The default is false, which will fail
processing of an event when
target
already exists. -
trim_leading_space
-
Whether extra space after the separator is trimmed from
values. This works even if the separator is also a space.
The default is
false
. -
fail_on_error
-
(Optional) If set to true, in case of an error the changes to
the event are reverted, and the original event is returned. If set to
false
, processing continues also if an error happens. Default istrue
.
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