Deserializing Data
Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud. Availability This functionality is generally available and ready for production usage. Serverless interfaces and procedures might differ from classic Elastic Stack deployments. The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats. Availability This functionality is generally available and ready for production usage. Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments. This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.
Serverless
Generally available
Stack
Generally available
The plugins described in this section are useful for deserializing data into Logstash events.
- avro codec
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Reads serialized Avro records as Logstash events. This plugin deserializes individual Avro records. It is not for reading Avro files. Avro files have a unique format that must be handled upon input.
The following config deserializes input from Kafka:
JSON input { kafka { codec => { avro => { schema_uri => "/tmp/schema.avsc" } } } } ... - csv filter
-
Parses comma-separated value data into individual fields. By default, the filter autogenerates field names (column1, column2, and so on), or you can specify a list of names. You can also change the column separator.
The following config parses CSV data into the field names specified in the
columnsfield:JSON filter { csv { separator => "," columns => [ "Transaction Number", "Date", "Description", "Amount Debit", "Amount Credit", "Balance" ] } } - fluent codec
-
Reads the Fluentd
msgpackschema.The following config decodes logs received from
fluent-logger-ruby:JSON input { tcp { codec => fluent port => 4000 } } - json codec
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Decodes (via inputs) and encodes (via outputs) JSON formatted content, creating one event per element in a JSON array.
The following config decodes the JSON formatted content in a file:
JSON input { file { path => "/path/to/myfile.json" codec =>"json" } - protobuf codec
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Reads protobuf encoded messages and converts them to Logstash events. Requires the protobuf definitions to be compiled as Ruby files. You can compile them by using the ruby-protoc compiler.
The following config decodes events from a Kafka stream:
JSON input kafka { zk_connect => "127.0.0.1" topic_id => "your_topic_goes_here" codec => protobuf { class_name => "Animal::Unicorn" include_path => ['/path/to/protobuf/definitions/UnicornProtobuf.pb.rb'] } } } - xml filter
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Parses XML into fields.
The following config parses the whole XML document stored in the
messagefield:JSON filter { xml { source => "message" } }