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Confluent
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  • Getting Started
    • What is the Confluent Platform?
      • What is included in the Confluent Platform?
        • Overview
        • Confluent Open Source
          • Confluent Connectors
            • Kafka Connect JDBC Connector
            • Kafka Connect HDFS Connector
            • Kafka Connect Elasticsearch Connector
            • Kafka Connect S3 Connector
          • Confluent Clients
            • C/C++ Client Library
            • Python Client Library
            • Go Client Library
            • .Net Client Library
          • Confluent Schema Registry
          • Confluent REST Proxy
        • Confluent Enterprise
          • Automatic Data Balancing
          • Multi-Datacenter Replication
          • Confluent Control Center
          • JMS Client
        • Confluent Proactive Support
      • Migrating an existing Kafka deployment
        • Migrating developer tools
        • Migrating to Control Center
    • Confluent Platform Quick Start
    • Installing and Upgrading
      • Install Confluent Platform
        • System Requirements
        • Installing Confluent Platform
          • Docker
          • ZIP and TAR archives
          • Debian and Ubuntu
          • RHEL and CentOS
        • Next Steps
      • Packages
        • Platform Packages
        • Component Packages
      • Installing using Docker
        • Docker Quick Start
          • Installing and Running Docker
          • Getting Started with Docker Compose
          • Getting Started with Docker Client
            • ZooKeeper
            • Kafka
            • Schema Registry
            • REST Proxy
            • Confluent Control Center
              • Stream Monitoring
              • Alerts
            • Kafka Connect
              • Getting Started
              • Monitoring in Control Center
            • Cleanup
        • Docker Configuration
          • Confluent Docker Images
          • Configuration Notes
          • Configuration Parameters
            • ZooKeeper
              • Required Settings
            • Confluent Kafka (cp-kafka)
              • Required Settings
            • Confluent Enterprise Kafka (cp-enterprise-kafka)
              • Required Settings
            • Schema Registry
              • Required Settings
            • Kafka REST Proxy
              • Required Settings
            • Kafka Connect
              • Required Settings
              • Optional Settings
            • Confluent Control Center
              • Docker Options
              • Required Settings
              • Optional Settings
            • Confluent Enterprise Replicator
              • Required Settings
              • Optional Settings
        • Docker Advanced Tutorials
          • Clustered Deployment
            • Installing and Running Docker
            • Docker Client: Setting Up a Three Node Kafka Cluster
            • Docker Compose: Setting Up a Three Node Kafka Cluster
          • Clustered Deployment Using SSL
            • Installing and Running Docker
            • Docker Client: Setting Up a Three Node Kafka Cluster
            • Docker Compose: Setting Up a Three Node Confluent Platform Cluster with SSL
          • Clustered Deployment Using SASL and SSL
            • Installing and Running Docker
            • Docker Client: Setting Up a Three Node Kafka Cluster
            • Docker Compose: Setting Up a Three Node Confluent Platform Cluster with SASL
          • Kafka Connect Tutorial
            • Installing and Running Docker
            • Starting Up Confluent Platform and Kafka Connect
          • Automatic Data Balancing
            • Installing and Running Docker
          • Replicator Tutorial
            • Installing and Running Docker
      • Clients
        • Maven repository for JARs
        • C/C++
        • Python
        • Go
        • .NET
      • Migrating from Open Source to Enterprise
      • Upgrade
        • Preparation
        • Step-by-step Guide
          • Upgrade All Kafka Brokers
          • Upgrade Schema Registry
          • Upgrade Kafka REST Proxy
          • Upgrade Kafka Streams applications
          • Upgrade Kafka Connect
            • Upgrade Kafka Connect Standalone Mode
            • Upgrade Kafka Connect Distributed Mode
          • Upgrade Camus
          • Confluent Control Center
          • Upgrade Other Client Applications
      • Supported Versions and Interoperability
        • Confluent Platform Versions
        • Operating Systems
        • Confluent Control Center
        • Java
        • Scala
        • Component Security
          • Apache Kafka
          • Apache Kafka Connect clients
          • Apache Kafka Streams clients
          • Apache ZooKeeper
          • Confluent Control Center
          • REST Proxy
          • Schema Registry
        • Clients
        • Connectors
        • Cross-Component Compatibility
          • Apache Kafka Connect Workers
          • Apache Kafka Java Clients
          • Apache Kafka Streams Clients
          • Auto Data Balancing
          • Confluent C, C++, Python, Go and .NET
          • Schema Registry
          • REST Proxy
        • Docker and Orchestration Tools
          • DC/OS
          • Docker
    • Command Line Interface
      • Installing and Configuring the CLI
        • Installing the CLI
        • Configuring the CLI
      • Command Reference
        • confluent acl
          • Description
          • Usage
          • Options
          • Positional arguments
        • confluent config
          • Description
          • Usage
          • Options
          • Positional arguments
          • Examples
        • confluent current
          • Description
          • Usage
          • Options
          • Positional arguments
          • Example
        • confluent destroy
          • Description
          • Usage
          • Options
          • Positional arguments
          • Example
        • confluent help
          • Description
          • Usage
          • Options
          • Positional arguments
          • Example
        • confluent list
          • Description
          • Usage
          • Options
          • Positional arguments
          • Examples
        • confluent load
          • Description
          • Usage
          • Options
          • Positional arguments
          • Example
        • confluent log
          • Description
          • Usage
          • Options
          • Positional arguments
          • Examples
        • confluent start
          • Description
          • Usage
          • Options
          • Positional arguments
          • Examples
        • confluent status
          • Description
          • Usage
          • Options
          • Positional arguments
          • Examples
        • confluent stop
          • Description
          • Usage
          • Options
          • Positional arguments
          • Examples
        • confluent top
          • Description
          • Usage
          • Options
          • Positional arguments
          • Example
        • confluent unload
          • Description
          • Usage
          • Options
          • Positional arguments
          • Example
        • Available Commands
        • Environment Variables
    • Confluent Platform 3.3.2 Release Notes
      • Highlights
        • Open Source Features
          • Apache Kafka 0.11.0.3-cp1
      • Previous releases
        • Confluent Platform 3.3.1 Release Notes
          • Highlights
            • Enterprise Features
              • Control Center
            • Open Source Features
              • Kafka Streams: Improved Rebalance Latency
              • Apache Kafka 0.11.0.1-cp1
              • Elasticsearch Sink Connector
              • HDFS Sink Connector
              • S3 Sink Connector
              • JDBC Source Connector
              • librdkafka 0.11.1
        • Confluent Platform 3.3.0 Release Notes
          • Highlights
            • Enterprise Features
              • REST Proxy ACL Plug-In
              • Control Center Interceptors for Non-Java Clients
              • Control Center
              • Metrics Publisher
            • Open Source Features
              • Exactly-Once Semantics for Apache Kafka
              • Confluent CLI
              • Non-Java Clients
              • Kafka Streams: Confluent serializers/deserializers (serdes) for Avro
              • Kafka Streams: Capacity Planning Guide available
            • Apache Kafka 0.11.0
              • Admin client
              • Record headers
              • Leader epoch in replication protocol
              • Single-threaded controller
            • Classpath Isolation for Apache Kafka Connectors
            • Request rate quotas
            • Kafka Streams: rebalancing improvements
            • More bug fixes and improvements
        • Confluent Platform 3.2.2 Release Notes
          • Highlights
            • Apache Kafka 0.10.2.1-cp2
            • Confluent Control Center
            • Replicator
            • S3 Connector
        • Confluent Platform 3.2.1 Release Notes
          • Highlights
            • Apache Kafka 0.10.2.1
              • Fixes
            • S3 Connector
              • Fixes
        • Confluent Platform 3.2.0 Release Notes
          • Highlights
            • Enterprise Features
              • JMS Client
              • Confluent Control Center
              • Automatic Data Balancing
            • Open Source Features
              • Kafka Streams: Backwards Compatible to Older Kafka Clusters
              • Kafka Streams: Compatibility Matrix
              • Kafka Streams: Session Windows
              • Kafka Streams: Global KTables
              • Kafka Streams: ZooKeeper Dependency Removed
              • Kafka Connect: Single Message Transform
              • S3 Connector
              • .Net Client
              • REST Proxy
              • Apache Kafka 0.10.2
        • Confluent Platform 3.1.2 Release Notes
          • Highlights
            • Apache Kafka 0.10.1.1
              • Fixes
        • Confluent Platform 3.1.1 Release Notes
          • Highlights
            • Enterprise Features
              • Automatic Data Balancing
              • Multi-Datacenter Replication
              • Confluent Control Center
            • Open Source Features
              • Kafka Streams: Interactive Queries
              • Kafka Streams: Application Reset Tool
              • Kafka Streams: Improved memory management
              • Kafka Connect
              • Go Client
            • Apache Kafka 0.10.1
              • New Feature
              • Improvement
              • Bug
              • Task
              • Wish
              • Test
              • Sub-task
        • Confluent Platform 3.0.1 Release Notes
          • Highlights
            • Confluent Control Center
            • Kafka Streams
              • New Feature: Application Reset Tool
            • Apache Kafka 0.10.0.1
              • New Feature
              • Improvement
              • Bug
              • Test
              • Sub-task
        • Confluent Platform 3.0.0 Release Notes
          • Highlights
            • Kafka Streams
            • Confluent Control Center
            • Apache Kafka 0.10.0.0
            • Deprecating Camus
            • Other Notable Changes
        • Confluent Platform 2.0.1 Release Notes
          • New Java consumer
          • Compatibility
          • Security
          • Performance/memory usage
          • Topic deletion
        • Confluent Platform 2.0.0 Release Notes
          • Security
          • Kafka Connect
          • User Defined Quotas
          • New Consumer
          • New Client Library - librdkafka
          • Proactive Support
          • Compatibility Notes
      • How to Download
      • Questions?
  • Operations
    • Kafka Operations
      • Production Deployment
        • Hardware
          • Memory
          • CPUs
          • Disks
          • Network
          • Filesystem
          • General considerations
        • JVM
        • Important Configuration Options
          • Replication configs
        • File descriptors and mmap
        • Multi-node Configuration
      • Post Deployment
        • Changing configs dynamically
        • Logging
          • Controller
          • State Change Log
          • Request logging
        • Admin operations
          • Adding topics
          • Modifying topics
          • Deleting topics
          • Graceful shutdown
        • Rolling Restart
          • Scaling the Cluster
          • Increasing replication factor
          • Limiting Bandwidth Usage during Data Migration
          • Balancing Replicas Across Racks
          • Enforcing Client Quotas
        • Performance Tips
          • Picking the number of partitions for a topic
          • Lagging replicas
          • Increasing consumer throughput
        • Software Updates
        • Backup and Restoration
      • Auto Data Balancing
        • Requirements
        • Quickstart
          • Start a Kafka cluster
          • Create topics and produce data
          • Execute the rebalancer
          • Check status and finish
          • Leader balance
          • Decommissioning brokers
          • Limiting Bandwidth Usage during Data Migration
        • Licensing
        • Configuration Options
          • Configuration Options for the rebalancer tool
      • Monitoring Kafka
        • Server Metrics
          • Broker Metrics
          • ZooKeeper Metrics
        • Producer Metrics
          • Global Request Metrics
          • Global Connection Metrics
          • Per-Broker Metrics
          • Per-Topic Metrics
        • New Consumer Metrics
          • Fetch Metrics
          • Topic-level Fetch Metrics
          • Consumer Group Metrics
          • Global Request Metrics
          • Global Connection Metrics
          • Per-Broker Metrics
        • Old Consumer Metrics
      • Confluent Metrics Reporter
        • Installation
        • Configuration
          • Message size
        • Configuration Options
          • Security
          • Authentication
          • Authorization
          • Verification
        • Logging
    • Confluent Control Center
      • Control Center Quick Start
        • Configure Kafka and Kafka Connect
        • Configure and Start Control Center
        • Setup stream monitoring
      • Control Center Concepts
        • Motivation
        • Time windows and metrics
        • Latency
      • Installing and Upgrading Control Center
        • Installing Control Center
          • Configure Kafka and Kafka Connect
          • Configure and start Control Center
          • Next steps
        • Control Center System Requirements
          • Hardware
            • Memory
            • CPUs
            • Disks
            • Network
          • OS
          • JVM
          • User/Cluster Metadata
          • Kafka
          • Multi-Cluster Configuration
          • Dedicated Metric Data Cluster
          • Example Deployments
            • Broker Monitoring
            • Streams Monitoring
        • Configuring Control Center
          • Base Settings
          • Logging
          • Optional Settings
            • General
            • Monitoring Settings
            • UI Authentication Settings
            • Email Settings
            • Kafka Encryption, Authentication, Authorization Settings
            • HTTPS Settings
            • Internal Kafka Streams Settings
            • Internal Command Settings
        • Installing Control Center Interceptors
          • Interceptor Installation
            • Compatibility
          • Interceptor installation for librdkafka-based clients
          • Client Configuration
            • Adding the interceptor to your Kafka Producer
            • Adding the interceptor to your Kafka Consumer
            • Adding interceptors to your Kafka Streams application
            • Adding the interceptor to librdkafka-based client applications
          • Interceptor Configuration
            • Configuration options
            • Security
            • Logging
            • Example Configuration
          • Verification
        • Installing Control Center on Apache Kafka
          • Software requirements
          • Hardware requirements
            • Install Control Center
          • Installation on Red Hat, CentOS, or Fedora
          • Installation on Debian Linux
            • Install and configure components
          • Installing Confluent Metrics Reporter with Kafka
          • Installing Kafka Connect
          • Installing Confluent Metrics Clients with Kafka Connect
            • Start Control Center
            • License Keys
            • Removing Control Center
          • TAR and ZIP Archives
          • Debian packages
          • Red Hat packages
        • Troubleshooting Control Center
          • Common issues
            • Installing and Setup
              • Bad security configuration
              • InvalidStateStoreException
              • Not enough brokers
              • Local store permissions
              • Multiple Control Center’s with the same ID
              • License expired
            • System health
              • Web interface that is blank or stuck loading
              • I see a rocket ship
              • Nothing is produced on the Metrics (_confluent-metrics) topic
              • Control Center is lagging behind Kafka
              • RecordTooLargeException
              • Parts of the broker or topic table have blank values
            • Streams Monitoring
              • Blank charts
              • Unexpected herringbone pattern
              • Missing consumers or consumer groups
            • Connect
              • I see rocket ship
          • Debugging
            • Check logs
            • Enable debug and trace logging
            • Check configurations
            • Review input topics
            • Size of clusters
            • System check
            • Frontend and REST API
            • Consumer offset lag
            • Enable GC logging
            • Thread dump
            • Data directory
        • Upgrading Control Center
          • Upgrading from version 3.1.x and later
          • Upgrading from version 3.0.x
      • Control Center User Interface
        • System Health
          • Navigation
          • UI Commonalities
          • Broker Aggregate Metrics
          • Produce and Fetch Charts
          • Broker Metrics Table
          • Topic Aggregate Metrics
          • Topic Metrics Table
        • Stream Monitoring
          • Chart Types
          • Page Layout
          • Navigation
          • Time Range and Cluster Selection
          • Summary statistics
          • Missing Metrics Data
          • Example Scenarios
            • Adding a new Consumer Group
              • Latency
              • Expected consumption
        • Kafka Connect
          • Creating new Connectors
          • Editing Sources and Sinks
        • Alerts
          • Concepts
          • User Interface
            • Overview page
            • Integration page
          • Trigger Management
            • New/Edit Trigger Form
            • Topic
            • Consumer Groups
            • Brokers
          • Actions Management
            • New/Edit Action Form
          • Alert History
        • Clusters
          • Setting a Cluster Name
        • Topic Management
          • Detail view for a topic
      • Security
        • Configuring SSL
          • Kafka Brokers
          • Control Center
          • Connect
        • Configuring SASL
          • ZooKeeper
          • Kafka Broker
          • Control Center Configuration
          • Schema Registry Configuration
          • Connect Configuration
        • UI Authentication
        • UI HTTPS
        • Authorization with Kafka ACLS
      • Changelog
        • Version 3.3.1
          • Confluent Control Center
        • Version 3.3.0
          • Confluent Control Center
        • Version 3.2.2
          • Confluent Control Center
        • Version 3.2.1
          • Confluent Control Center
        • Version 3.2.0
          • Confluent Control Center
        • Version 3.1.0
          • Confluent Control Center
        • Version 3.0.1
          • Confluent Control Center
    • Multi Data-Center Deployment
      • Replicator Quick Start
        • Start the destination cluster
        • Start the origin cluster
        • Create a topic
        • Configure and run Replicator
      • Installing and Configuring Replicator
        • Install and Configure Kafka Connect Cluster for Replicator
          • Configuring origin and destination brokers
          • Where to Install Connect Workers
          • Running Replicator on Existing Connect Cluster
          • Configuring Logging for Connect Cluster
          • License Key
        • Configure and run a Confluent Replicator on the Connect Cluster
      • Tuning and Monitoring Replicator
        • Sizing Replicator Cluster
        • Getting More Throughput From Replicator Tasks
          • Improving CPU Utilization of a Connect Task
          • Improving Network Utilization of a Connect Task
        • Monitoring Replicator
          • Monitoring Replicator Lag
          • Monitoring Producer and Consumer Metrics
            • Important Producer Metrics
            • Important Consumer Metrics
      • Configuration Options
        • Confluent Platform
        • Source Topics
        • Source Data Conversion
        • Source Zookeeper
        • Source Kafka
        • Source Kafka: Security
        • Source Kafka: Consumer
        • Destination Topics
        • Destination Zookeeper
        • Destination Data Conversion
      • Apache Kafka’s Mirror Maker
        • Comparing Mirror Maker to Confluent Replicator
          • Greater control for reliable replication
          • Deploying, managing, and monitoring
          • Replication Patterns
          • License
        • Example of Mirror Maker Use
    • Schema Registry Operations
      • Production Deployment
        • Hardware
          • Memory
          • CPUs
          • Disks
          • Network
        • JVM
        • Important Configuration Options
        • Don’t Touch These Settings!
          • Storage settings
        • Kafka & ZooKeeper
        • Backup and Restore
        • Multi-DC Setup
          • Overview
          • Recommended Deployment
          • Important Settings
          • Setup
          • Run Book
      • Monitoring
        • Global Metrics
        • Per-Endpoint Metrics
        • Endpoints
    • Kafka REST Proxy Operations
      • Production Deployment
        • Hardware
          • Memory
          • CPUs
          • Disks
          • Network
        • JVM
        • Deployment
        • Important Configuration Options
        • Don’t Touch These Settings!
        • Post Deployment
      • Monitoring
        • Global Metrics
        • Per-Endpoint Metrics
        • Endpoints
    • Docker Operations
      • Monitoring
        • Using JMX
          • Security on JMX
          • Kafka and ZooKeeper
            • Settings
            • Launching Kafka and ZooKeeper with JMX Enabled
      • Configuring logging
        • log4j Log Levels
        • Component Names
      • Mounting External Volumes
        • Data Volumes for Kafka and ZooKeeper
        • Security: Data Volumes for Configuring Secrets
        • Configuring Connect with External jars
    • Security
      • Kafka Security
        • Encryption and Authentication using SSL
          • Overview
          • Generate SSL key and certificate for each Kafka broker
          • Creating your own CA
          • Signing the certificate
          • Configuring Kafka Brokers
          • Configuring Kafka Clients
          • Enabling SSL Logging
        • Authentication using SASL
          • SASL configuration for Kafka brokers
          • SASL configuration for Kafka Clients
          • Authentication using SASL/Kerberos
            • Prerequisites
              • Kerberos
              • Kerberos Principals
              • All hosts must be reachable using hostnames
            • Configuring Kafka Brokers
            • Configuring Kafka Clients
          • Authentication using SASL/PLAIN
            • Configuring Kafka Brokers
            • Configuring Kafka Clients
            • Use of SASL/PLAIN in production
          • Enabling multiple SASL mechanisms in a broker
          • Modifying SASL mechanisms in a Running Cluster
          • Enabling Logging for SASL
        • Authorization and ACLs
          • Overview
            • Common cases:
            • Further configuration:
          • Command Line Interface
            • Adding ACLs
            • Removing ACLs
            • List ACLs
            • Adding or Removing a Principal as Producer or Consumer
            • Enabling Authorizer Logging for Debugging
        • Adding Security to a Running Cluster
        • ZooKeeper Authentication
          • New clusters
          • Migrating clusters
          • Migrating the ZooKeeper ensemble
        • Kafka Security & the Confluent Platform
          • Other Observations
      • Confluent Security Plugins
        • Installation
          • Kafka REST Security Plugin
            • Installation
            • Authentication Mechanisms
            • Configuration
          • Principal Propagation
            • SSL
            • SASL
      • Docker Security
    • Kafka Connect
      • Introduction
      • Requirements
      • Kafka Connect Quick Start
        • Goal
        • What we will do
        • Start the services
        • Read File Data with Connect
        • Write File Data with Connect
      • Concepts
        • Connectors
        • Tasks
          • Task Rebalancing
        • Workers
          • Standalone Workers
          • Distributed Workers
        • Converters
        • Transforms
          • List of Transformations
      • Installing and Configuring Kafka Connect
        • Getting Started
        • Planning for Installation
          • Prerequisites
          • Standalone vs. Distributed
          • Deployment Considerations
        • Installing Plugins
        • Running Workers
          • Standalone Mode
          • Distributed Mode
        • Configuring Workers
          • Common Worker Configs
          • Standalone Worker Configuration
          • Distributed Worker Configuration
          • Configuring Converters
          • Overriding Producer & Consumer Settings
        • Upgrading Kafka Connect Workers
      • Managing Connectors
        • Using Bundled Connectors
        • Configuring Connectors
          • Standalone Example
          • Distributed Example
        • Managing Running Connectors
          • Using the REST Interface
          • Connector and Task Status
          • Common REST Examples
        • Using Community Connectors
        • Upgrading a Connector Plugin
      • Bundled Connectors
        • Confluent JDBC Connector
          • JDBC Source Connector
            • Quick Start
              • Create SQLite Database and Load Data
              • Load the JDBC Source Connector
              • Add a Record to the Consumer
            • Features
            • Configuration
            • Schema Evolution
          • JDBC Source Configuration Options
            • Database Connection Security
            • Database
            • Connector
            • Mode
          • JDBC Sink Connector
            • Quick Start
              • Create SQLite Database and Load Data
              • Load the JDBC Sink Connector
              • Produce a Record in SQLite
            • Features
          • JDBC Sink Configuration Options
            • Database Connection Security
            • Connection
            • Writes
            • Data Mapping
            • DDL Support
            • Retries
          • Changelog
            • Version 3.3.1
              • JDBC Source Connector
              • JDBC Sink Connector
            • Version 3.3.0
              • JDBC Source Connector
              • JDBC Sink Connector
            • Version 3.2.2
            • Version 3.2.1
            • Version 3.2.0
              • JDBC Source Connector
              • JDBC Sink Connector
            • Version 3.1.1
            • Version 3.1.0
              • JDBC Source Connector
              • JDBC Sink Connector
            • Version 3.0.1
              • JDBC Source Connector
            • Version 3.0.0
              • JDBC Source Connector
        • Confluent HDFS Connector
          • HDFS Connector
            • Quickstart
            • Features
            • Configuration
              • Example
              • Format and Partitioner
              • Hive Integration
              • Secure HDFS and Hive Metastore
            • Schema Evolution
          • Configuration Options
            • HDFS
            • Hive
            • Security
            • Schema
            • Connector
            • Internal
          • Changelog
            • Version 3.3.1
            • Version 3.3.0
            • Version 3.2.2
            • Version 3.2.1
            • Version 3.2.0
            • Version 3.1.1
            • Version 3.1.0
            • Version 3.0.1
              • HDFS Connector
            • Version 3.0.0
              • HDFS Connector
        • Confluent S3 Connector
          • S3 Connector
            • Features
            • Exactly-once delivery on top of eventual consistency
            • Schema Evolution
            • Quickstart
            • Configuration
              • Example
          • Configuration Options
            • Connector
            • S3
            • Storage
            • Partitioner
          • Changelog
            • Version 3.3.1
              • S3 Connector
            • Version 3.3.0
              • S3 Connector
            • Version 3.2.2
              • S3 Connector
            • Version 3.2.1
              • S3 Connector
            • Version 3.2.0
              • S3 Connector
        • Confluent Elasticsearch Connector
          • Elasticsearch Connector
            • Quick Start
              • Add a Record to the Consumer
              • Load the Elasticsearch Connector
            • Features
            • Delivery Semantics
            • Mapping Management
            • Schema Evolution
            • Automatic Retries
            • Reindexing
            • Security
          • Configuration Options
            • Connector
            • Data Conversion
          • Changelog
            • Version 3.3.1
            • Version 3.3.0
            • Version 3.2.2
            • Version 3.2.1
            • Version 3.2.0
        • Confluent Replicator
          • Confluent Replicator
            • Features
            • Requirements
            • Quick start
              • Start the target cluster
              • Start the source cluster
              • Configure and run Replicator
            • Topic Renaming
            • Periodic Metadata Updates
            • Security
          • Changelog
            • Version 3.3.1
            • Version 3.3.0
            • Version 3.2.2
            • Version 3.2.1
            • Version 3.2.0
          • Configuration Options
            • Confluent Platform
            • Source Topics
            • Source Data Conversion
            • Source Zookeeper
            • Source Kafka
            • Source Kafka: Security
            • Source Kafka: Consumer
            • Destination Topics
            • Destination Zookeeper
            • Destination Data Conversion
        • Kafka FileStream Connectors
          • Quickstart
          • FileSource Connector
          • FileSink Connector
      • Security
        • Configuring Workers with Security
        • Configuring Connectors with Security
        • ACL Considerations
          • Worker ACL Requirements
          • Connector ACL Requirements
      • Architecture & Internals
        • Motivation
        • Architecture
          • Internal Connect Offsets
      • Connector Developer Guide
        • Core Concepts and APIs
          • Connectors and Tasks
          • Partitions and Records
          • Dynamic Connectors
        • Developing a Simple Connector
          • Connector Example
          • Task Example - Source Task
          • Sink Tasks
          • Resuming from Previous Offsets
        • Dynamic Input/Output Partitions
        • Configuration Validation
        • Working with Schemas
        • Schema Evolution
        • Testing
        • Packaging
          • Creating an Archive
          • Creating an Uber JAR
      • FAQ
        • How do I change the output data format of a SinkConnector?
        • Why does a connector configuration update trigger a task rebalance?
        • Why should I use distributed mode instead of standalone?
        • Do I need to write custom code to use Kafka Connect?
        • Is the Schema Registry a required service to run Kafka Connect?
        • How can I use plain JSON data with Connect?
        • Does source connector X support output format Y?
        • Why is CPU usage high for my Connect worker when no connectors have been deployed?
        • Can connect sink connectors read data written by other clients, e.g. a custom client?
        • After testing a connector in standalone mode, restarting it doesn’t write the data again?
        • Can I use a newer version of Connect with older brokers?
      • Reference
        • Javadocs
        • REST Interface
          • Content Types
          • Statuses & Errors
          • Connectors
          • Tasks
          • Connector Plugins
        • All Worker Configs
          • Common Worker Configs
          • Standalone Worker Configuration
          • Distributed Worker Configuration
    • Camus Operations
      • Important Configuration Options
    • ZooKeeper Operations
      • ZooKeeper Production Deployment
        • Stable version
        • Hardware
          • Memory
          • CPU
          • Disks
        • JVM
        • Important Configuration Options
        • Monitoring
          • Operating System
          • “Four Letter Words”
          • JMX Monitoring
        • Multi-node Setup
      • Post Deployment
  • Development
    • Kafka Streams
      • Introduction
        • The Kafka Streams API in a Nutshell
        • Use Case Examples
        • A Closer Look
      • Requirements
        • Apache Kafka
        • Confluent
      • Kafka Streams Quick Start
        • Purpose
        • Start the Kafka cluster
        • Prepare the topics and the input data
        • Process the input data with Kafka Streams
        • Inspect the output data
        • Stop the Kafka cluster
        • Next steps
      • Kafka Streams Demo Application
        • Requirements
        • Running the Kafka Music demo application
        • Running further Confluent demo applications for the Kafka Streams API
        • Appendix
          • Inspecting the input topics of the Kafka Music application
          • Creating new topics
          • Listing available topics
      • Concepts
        • Kafka 101
        • Stream
        • Stream Processing Application
        • Processor Topology
        • Stream Processor
        • Stateful Stream Processing
        • Duality of Streams and Tables
        • KStream
        • KTable
        • GlobalKTable
        • Time
        • Aggregations
        • Joins
        • Windowing
        • Interactive Queries
        • Processing Guarantees
      • Architecture
        • Processor Topology
        • Parallelism Model
          • Stream Partitions and Tasks
          • Threading Model
          • Example
        • State
        • Memory management
          • Record caches
        • Fault Tolerance
        • Flow Control with Timestamps
        • Backpressure
      • Code Examples
        • Getting started examples
          • Java
          • Scala
        • Security examples
          • Java programming language
        • Interactive queries examples
          • Java
        • End-to-end application examples
          • Java
          • Scala
        • Event-Driven Microservice example
          • Java
      • Developer Guide
        • Writing a Streams Application
          • Libraries and Maven artifacts
          • Using Kafka Streams within your application code
        • Configuring a Streams Application
          • Configuration parameter reference
            • Required configuration parameters
              • application.id
              • bootstrap.servers
            • Optional configuration parameters
              • default.key.serde
              • default.value.serde
              • default.timestamp.extractor
              • num.standby.replicas
              • num.stream.threads
              • partition.grouper
              • processing.guarantee
              • replication.factor
              • state.dir
            • Kafka consumers and producer configuration parameters
              • Naming
              • Default Values
              • enable.auto.commit
              • rocksdb.config.setter
            • Recommended configuration parameters for resiliency
              • acks
              • replication.factor
        • Streams DSL
          • Overview
          • Creating source streams from Kafka
          • Transform a stream
            • Stateless transformations
            • Stateful transformations
              • Aggregating
              • Joining
                • Join co-partitioning requirements
                • KStream-KStream Join
                • KTable-KTable Join
                • KStream-KTable Join
                • KStream-GlobalKTable Join
              • Windowing
                • Tumbling time windows
                • Hopping time windows
                • Sliding time windows
                • Session Windows
            • Applying processors and transformers (Processor API integration)
          • Writing streams back to Kafka
        • Processor API
          • Overview
          • Defining a Stream Processor
          • State Stores
            • Defining and creating a State Store
            • Fault-tolerant State Stores
            • Enable or Disable Fault Tolerance of State Stores (Store Changelogs)
            • Implementing Custom State Stores
          • Connecting Processors and State Stores
        • Data Types and Serialization
          • Configuring SerDes
          • Overriding default SerDes
          • Available SerDes
            • Primitive and basic types
            • Avro
            • JSON
            • Further serdes
          • Implementing custom SerDes
        • Interactive Queries
          • Querying local state stores for an app instance
            • Querying local key-value stores
            • Querying local window stores
            • Querying local custom state stores
          • Querying remote state stores for the entire app
            • Adding an RPC layer to your application
            • Exposing the RPC endpoints of your application
            • Discovering and accessing application instances and their local state stores
          • Demo applications
        • Memory Management
          • Record caches in the DSL
          • Record caches in the Processor API
          • Other memory usage
        • Running Streams Applications
          • Starting a Kafka Streams application
          • Elastic scaling of your application
            • Adding capacity to your application
            • Removing capacity from your application
            • State restoration during workload rebalance
            • Determining how many application instances to run
        • Managing Streams Application Topics
          • User topics
          • Internal topics
        • Streams Security
          • Required ACL setting for secure Kafka clusters
          • Security example
        • Application Reset Tool
          • Step 1: Run the application reset tool
          • Step 2: Reset the local environments of your application instances
            • Example
      • Operations
        • Capacity planning and sizing
          • Background and context
          • Stateless vs. stateful
            • Stateless applications
            • Stateful applications
          • Examples
          • Troubleshooting
        • Monitoring your application
          • Metrics
            • Accessing Metrics
              • Accessing Metrics via JMX and Reporters
              • Accessing Metrics Programmatically
            • Configuring Metrics Granularity
            • Built-in Metrics
              • Thread Metrics
              • Task Metrics
              • Processor Node Metrics
              • State Store Metrics
              • Record Cache Metrics
            • Adding Your Own Metrics
          • Run-time Status Information
            • Status of KafkaStreams instances
          • Integration with Confluent Control Center
      • Upgrade Guide
        • Upgrading from CP 3.2.x (Kafka 0.10.2.x-cp1) to CP 3.3.2 (Kafka 0.11.0.3-cp1)
          • Compatibility
          • Upgrading your Kafka Streams applications to CP 3.3.2
          • API changes
            • Streams Configuration
            • Local timestamp extractors
            • KTable Changes
          • Full upgrade workflow
        • Upgrading older Kafka Streams applications to CP 3.3.1
          • API changes (from CP 3.1 to CP 3.2)
            • Handling Negative Timestamps and Timestamp Extractor Interface
            • Metrics
            • Scala
          • API changes (from CP 3.0 to CP 3.1)
            • Stream grouping and aggregation
            • Auto Repartitioning
            • TopologyBuilder
            • DSL: New parameters to specify state store names
            • Windowing
      • FAQ
        • General
          • Is Kafka Streams a project separate from Apache Kafka?
          • Is Kafka Streams a proprietary library of Confluent?
          • Do Kafka Streams applications run inside the Kafka brokers?
          • What are the system dependencies of Kafka Streams?
          • How do I migrate my CP 3.0.x, CP 3.1.x, or CP 3.2.x Kafka Streams applications to CP 3.3.x
          • Which versions of Kafka clusters are supported by Kafka Streams?
          • What programming languages are supported?
          • Why is my application re-processing data from the beginning?
        • Scalability
          • Maximum parallelism of my application? Maximum number of app instances I can run?
        • Processing
          • Accessing record metadata such as topic, partition, and offset information?
          • Difference between map, peek, foreach in the DSL?
          • How to avoid data repartitioning if you know it’s not required?
          • Serdes config method
          • How can I replace RocksDB with a different store?
        • Failure and exception handling
          • Handling corrupted records and deserialization errors (“poison pill messages”)?
            • Option 1: Skip corrupted records with flatMap
            • Option 2: Quarantine corrupted records (dead letter queue) with branch
            • Option 3: Skip corrupted records with a custom serde
          • Sending corrupt records to a quarantine topic or dead letter queue?
        • Interactive Queries
          • Handling InvalidStateStoreException: “the state store may have migrated to another instance”?
        • Security
          • Application fails when running against a secured Kafka cluster?
        • Troubleshooting and debugging
          • Easier to interpret Java stacktraces?
          • Visualizing topologies?
          • Inspecting streams and tables?
          • Invalid Timestamp Exception
          • Why do I get an IllegalStateException when accessing record metadata?
          • Why is punctuate() not called?
          • Scala: compile error “no type parameter”, “Java-defined trait is invariant in type T”
          • How can I convert a KStream to a KTable without an aggregation step?
            • Option 1: Write KStream to Kafka, read back as KTable
            • Option 2: Perform a dummy aggregation
          • RocksDB behavior in 1-core environments
      • Javadocs
      • Getting started
        • Quick Start
        • Streams API Screencasts
      • Contents
        • Introduction
          • The Kafka Streams API in a Nutshell
          • Use Case Examples
          • A Closer Look
        • Requirements
          • Apache Kafka
          • Confluent
        • Kafka Streams Quick Start
          • Purpose
          • Start the Kafka cluster
          • Prepare the topics and the input data
          • Process the input data with Kafka Streams
          • Inspect the output data
          • Stop the Kafka cluster
          • Next steps
        • Concepts
          • Kafka 101
          • Stream
          • Stream Processing Application
          • Processor Topology
          • Stream Processor
          • Stateful Stream Processing
          • Duality of Streams and Tables
          • KStream
          • KTable
          • GlobalKTable
          • Time
          • Aggregations
          • Joins
          • Windowing
          • Interactive Queries
          • Processing Guarantees
        • Architecture
          • Processor Topology
          • Parallelism Model
            • Stream Partitions and Tasks
            • Threading Model
            • Example
          • State
          • Memory management
            • Record caches
          • Fault Tolerance
          • Flow Control with Timestamps
          • Backpressure
        • Code Examples
          • Getting started examples
            • Java
            • Scala
          • Security examples
            • Java programming language
          • Interactive queries examples
            • Java
          • End-to-end application examples
            • Java
            • Scala
          • Event-Driven Microservice example
            • Java
        • Developer Guide
          • Writing a Streams Application
            • Libraries and Maven artifacts
            • Using Kafka Streams within your application code
          • Configuring a Streams Application
            • Configuration parameter reference
              • Required configuration parameters
                • application.id
                • bootstrap.servers
              • Optional configuration parameters
                • default.key.serde
                • default.value.serde
                • default.timestamp.extractor
                • num.standby.replicas
                • num.stream.threads
                • partition.grouper
                • processing.guarantee
                • replication.factor
                • state.dir
              • Kafka consumers and producer configuration parameters
                • Naming
                • Default Values
                • enable.auto.commit
                • rocksdb.config.setter
              • Recommended configuration parameters for resiliency
                • acks
                • replication.factor
          • Streams DSL
            • Overview
            • Creating source streams from Kafka
            • Transform a stream
              • Stateless transformations
              • Stateful transformations
                • Aggregating
                • Joining
                  • Join co-partitioning requirements
                  • KStream-KStream Join
                  • KTable-KTable Join
                  • KStream-KTable Join
                  • KStream-GlobalKTable Join
                • Windowing
                  • Tumbling time windows
                  • Hopping time windows
                  • Sliding time windows
                  • Session Windows
              • Applying processors and transformers (Processor API integration)
            • Writing streams back to Kafka
          • Processor API
            • Overview
            • Defining a Stream Processor
            • State Stores
              • Defining and creating a State Store
              • Fault-tolerant State Stores
              • Enable or Disable Fault Tolerance of State Stores (Store Changelogs)
              • Implementing Custom State Stores
            • Connecting Processors and State Stores
          • Data Types and Serialization
            • Configuring SerDes
            • Overriding default SerDes
            • Available SerDes
              • Primitive and basic types
              • Avro
              • JSON
              • Further serdes
            • Implementing custom SerDes
          • Interactive Queries
            • Querying local state stores for an app instance
              • Querying local key-value stores
              • Querying local window stores
              • Querying local custom state stores
            • Querying remote state stores for the entire app
              • Adding an RPC layer to your application
              • Exposing the RPC endpoints of your application
              • Discovering and accessing application instances and their local state stores
            • Demo applications
          • Memory Management
            • Record caches in the DSL
            • Record caches in the Processor API
            • Other memory usage
          • Running Streams Applications
            • Starting a Kafka Streams application
            • Elastic scaling of your application
              • Adding capacity to your application
              • Removing capacity from your application
              • State restoration during workload rebalance
              • Determining how many application instances to run
          • Managing Streams Application Topics
            • User topics
            • Internal topics
          • Streams Security
            • Required ACL setting for secure Kafka clusters
            • Security example
          • Application Reset Tool
            • Step 1: Run the application reset tool
            • Step 2: Reset the local environments of your application instances
              • Example
        • Operations
          • Capacity planning and sizing
            • Background and context
            • Stateless vs. stateful
              • Stateless applications
              • Stateful applications
            • Examples
            • Troubleshooting
          • Monitoring your application
            • Metrics
              • Accessing Metrics
                • Accessing Metrics via JMX and Reporters
                • Accessing Metrics Programmatically
              • Configuring Metrics Granularity
              • Built-in Metrics
                • Thread Metrics
                • Task Metrics
                • Processor Node Metrics
                • State Store Metrics
                • Record Cache Metrics
              • Adding Your Own Metrics
            • Run-time Status Information
              • Status of KafkaStreams instances
            • Integration with Confluent Control Center
        • Upgrade Guide
          • Upgrading from CP 3.2.x (Kafka 0.10.2.x-cp1) to CP 3.3.2 (Kafka 0.11.0.3-cp1)
            • Compatibility
            • Upgrading your Kafka Streams applications to CP 3.3.2
            • API changes
              • Streams Configuration
              • Local timestamp extractors
              • KTable Changes
            • Full upgrade workflow
          • Upgrading older Kafka Streams applications to CP 3.3.1
            • API changes (from CP 3.1 to CP 3.2)
              • Handling Negative Timestamps and Timestamp Extractor Interface
              • Metrics
              • Scala
            • API changes (from CP 3.0 to CP 3.1)
              • Stream grouping and aggregation
              • Auto Repartitioning
              • TopologyBuilder
              • DSL: New parameters to specify state store names
              • Windowing
        • FAQ
          • General
            • Is Kafka Streams a project separate from Apache Kafka?
            • Is Kafka Streams a proprietary library of Confluent?
            • Do Kafka Streams applications run inside the Kafka brokers?
            • What are the system dependencies of Kafka Streams?
            • How do I migrate my CP 3.0.x, CP 3.1.x, or CP 3.2.x Kafka Streams applications to CP 3.3.x
            • Which versions of Kafka clusters are supported by Kafka Streams?
            • What programming languages are supported?
            • Why is my application re-processing data from the beginning?
          • Scalability
            • Maximum parallelism of my application? Maximum number of app instances I can run?
          • Processing
            • Accessing record metadata such as topic, partition, and offset information?
            • Difference between map, peek, foreach in the DSL?
            • How to avoid data repartitioning if you know it’s not required?
            • Serdes config method
            • How can I replace RocksDB with a different store?
          • Failure and exception handling
            • Handling corrupted records and deserialization errors (“poison pill messages”)?
              • Option 1: Skip corrupted records with flatMap
              • Option 2: Quarantine corrupted records (dead letter queue) with branch
              • Option 3: Skip corrupted records with a custom serde
            • Sending corrupt records to a quarantine topic or dead letter queue?
          • Interactive Queries
            • Handling InvalidStateStoreException: “the state store may have migrated to another instance”?
          • Security
            • Application fails when running against a secured Kafka cluster?
          • Troubleshooting and debugging
            • Easier to interpret Java stacktraces?
            • Visualizing topologies?
            • Inspecting streams and tables?
            • Invalid Timestamp Exception
            • Why do I get an IllegalStateException when accessing record metadata?
            • Why is punctuate() not called?
            • Scala: compile error “no type parameter”, “Java-defined trait is invariant in type T”
            • How can I convert a KStream to a KTable without an aggregation step?
              • Option 1: Write KStream to Kafka, read back as KTable
              • Option 2: Perform a dummy aggregation
            • RocksDB behavior in 1-core environments
        • Javadocs
    • Kafka Clients
      • Kafka Consumers
        • Concepts
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        • Initialization
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        • Threading
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        • Connector Example
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        • Resuming from Previous Offsets
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        • Version 2.0.1
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        • Version 2.0.0
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        • Client Properties
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      • Avro
        • Defining an Avro Schema
        • Schema Evolution
        • Backward Compatibility
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        • Full Compatibility
        • Confluent Schema Registry
    • Kafka REST Proxy
      • Kafka REST Proxy
        • Quickstart
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