Fluent Bit: Official Manual
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1.9
1.9
  • Fluent Bit v1.9 Documentation
  • About
    • What is Fluent Bit?
    • A Brief History of Fluent Bit
    • Fluentd & Fluent Bit
    • License
  • Concepts
    • Key Concepts
    • Buffering
    • Data Pipeline
      • Input
      • Parser
      • Filter
      • Buffer
      • Router
      • Output
  • Installation
    • Getting Started with Fluent Bit
    • Upgrade Notes
    • Supported Platforms
    • Requirements
    • Sources
      • Download Source Code
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    • Linux Packages
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      • Redhat / CentOS
      • Debian
      • Ubuntu
      • Raspbian / Raspberry Pi
    • Docker
    • Containers on AWS
    • Amazon EC2
    • Kubernetes
    • macOS
    • Windows
    • Yocto / Embedded Linux
  • Administration
    • Configuring Fluent Bit
      • Classic mode
        • Format and Schema
        • Configuration File
        • Variables
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        • Upstream Servers
        • Record Accessor
      • YAML Configuration
        • Configuration File
      • Unit Sizes
      • Multiline Parsing
    • Security
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    • Networking
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    • Monitoring
    • Dump Internals / Signal
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  • Local Testing
    • Validating your Data and Structure
    • Running a Logging Pipeline Locally
  • Data Pipeline
    • Pipeline Monitoring
    • Inputs
      • Collectd
      • CPU Log Based Metrics
      • Disk I/O Log Based Metrics
      • Docker Log Based Metrics
      • Docker Events
      • Dummy
      • Exec
      • Fluent Bit Metrics
      • Forward
      • Head
      • HTTP
      • Health
      • Kernel Logs
      • Memory Metrics
      • MQTT
      • Network I/O Log Based Metrics
      • NGINX Exporter Metrics
      • Node Exporter Metrics
      • Process Log Based Metrics
      • Prometheus Scrape Metrics
      • Random
      • Serial Interface
      • Standard Input
      • StatsD
      • Syslog
      • Systemd
      • Tail
      • TCP
      • Thermal
      • Windows Event Log
      • Windows Event Log (winevtlog)
      • Windows Exporter Metrics
    • Parsers
      • Configuring Parser
      • JSON
      • Regular Expression
      • LTSV
      • Logfmt
      • Decoders
    • Filters
      • AWS Metadata
      • CheckList
      • Expect
      • GeoIP2 Filter
      • Grep
      • Kubernetes
      • Lua
      • Parser
      • Record Modifier
      • Modify
      • Multiline
      • Nest
      • Nightfall
      • Rewrite Tag
      • Standard Output
      • Throttle
      • Tensorflow
    • Outputs
      • Amazon CloudWatch
      • Amazon Kinesis Data Firehose
      • Amazon Kinesis Data Streams
      • Amazon S3
      • Azure Blob
      • Azure Log Analytics
      • Counter
      • Datadog
      • Elasticsearch
      • File
      • FlowCounter
      • Forward
      • GELF
      • Google Cloud BigQuery
      • HTTP
      • InfluxDB
      • Kafka
      • Kafka REST Proxy
      • LogDNA
      • Loki
      • NATS
      • New Relic
      • NULL
      • Observe
      • OpenSearch
      • OpenTelemetry
      • PostgreSQL
      • Prometheus Exporter
      • Prometheus Remote Write
      • SkyWalking
      • Slack
      • Splunk
      • Stackdriver
      • Standard Output
      • Syslog
      • TCP & TLS
      • Treasure Data
      • WebSocket
  • Stream Processing
    • Introduction to Stream Processing
    • Overview
    • Changelog
    • Getting Started
      • Fluent Bit + SQL
      • Check Keys and NULL values
      • Hands On! 101
  • Fluent Bit for Developers
    • C Library API
    • Ingest Records Manually
    • Golang Output Plugins
    • Developer guide for beginners on contributing to Fluent Bit
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  1. Data Pipeline
  2. Parsers

JSON

The JSON parser is the simplest option: if the original log source is a JSON map string, it will take its structure and convert it directly to the internal binary representation.

A simple configuration that can be found in the default parsers configuration file, is the entry to parse Docker log files (when the tail input plugin is used):

[PARSER]
    Name        docker
    Format      json
    Time_Key    time
    Time_Format %Y-%m-%dT%H:%M:%S %z

The following log entry is a valid content for the parser defined above:

{"key1": 12345, "key2": "abc", "time": "2006-07-28T13:22:04Z"}

After processing, its internal representation will be:

[1154103724, {"key1"=>12345, "key2"=>"abc"}]

The time has been converted to Unix timestamp (UTC) and the map reduced to each component of the original message.

Last updated 2 years ago

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