Apache Druid v27.0 Documentation
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Getting started

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  • API reference
    • Overview
    • HTTP APIs
      • Tasks
      • Lookups
      • Retention rules
      • SQL-based ingestion
      • Service status
      • Automatic compaction
      • Data management
      • JSON querying
      • Legacy metadata
      • Supervisors
      • Dynamic configuration
      • Druid SQL
    • Java APIs
      • SQL JDBC driver
  • Configuration
    • Configuration reference
    • Logging
    • Extensions
  • Data management
    • Schema changes
    • Overview
    • Data updates
    • Compaction
    • Data deletion
    • Automatic compaction
  • Design
    • Deep storage
    • Processes and servers
    • ZooKeeper
    • Design
    • Segments
    • Metadata storage
  • Development
    • JavaScript functionality
    • Contribute to Druid docs
    • Creating extensions
    • Build from source
    • Versioning
    • Developing on Druid
    • Experimental features
  • Getting started
    • Quickstart (local)
    • Clustered deployment
    • Single server deployment
    • Introduction to Apache Druid
  • Ingestion
    • Overview
    • Schema design tips
    • Troubleshooting FAQ
    • Ingestion spec reference
    • Classic batch
      • Hadoop-based
      • JSON-based batch
    • Ingestion concepts
      • Rollup
      • Schema model
      • Partitioning
      • Input sources
      • Task reference
      • Source input formats
    • SQL-based batch
      • Examples
      • Security
      • Key concepts
      • Reference
      • Known issues
      • SQL-based ingestion
    • Streaming
      • Apache Kafka operations
      • Amazon Kinesis
      • Apache Kafka ingestion
      • Apache Kafka supervisor
  • Misc
    • Papers
  • Operations
    • Using rules to drop and retain data
    • Migrate from firehose
    • Java runtime
    • Rolling updates
    • Working with different versions of Apache Hadoop
    • High availability
    • Durable storage
    • Web console
    • Misc
      • Export Metadata Tool
      • Metadata Migration
      • Content for build.sbt
      • dump-segment tool
      • Deep storage migration
      • reset-cluster tool
      • insert-segment-to-db tool
      • pull-deps tool
    • Monitoring
      • Alerts
      • Request logging
      • Metrics
    • Performance tuning
      • Basic cluster tuning
      • Mixed workloads
      • Automated metadata cleanup
      • Segment size optimization
      • HTTP compression
    • Security
      • User authentication and authorization
      • LDAP auth
      • Dynamic Config Providers
      • TLS support
      • Security overview
      • Password providers
  • Querying
    • Native queries
    • Troubleshooting
    • Query execution
    • Concepts
      • Nested columns
      • Using query caching
      • Datasources
      • Multi-value dimensions
      • Query context
      • Joins
      • Query caching
      • Multitenancy
      • Lookups
    • Druid SQL
      • Multi-value string functions
      • Aggregation functions
      • Overview and syntax
      • SQL data types
      • Scalar functions
      • Operators
      • All functions
      • Array functions
      • JSON functions
      • SQL metadata tables
      • SQL query translation
      • Query from deep storage
      • SQL query context
    • Native query components
      • Having filters (groupBy)
      • Sorting (topN)
      • Filters
      • Post-aggregations
      • Granularities
      • Sorting and limiting (groupBy)
      • Dimensions
      • Expressions
      • String comparators
      • Virtual columns
      • Spatial filters
      • Aggregations
    • Native query types
      • Scan
      • Timeseries
      • TopN
      • GroupBy
      • SegmentMetadata
      • Search
      • TimeBoundary
      • DatasourceMetadata
  • Tutorials
    • Query data
    • Write an ingestion spec
    • Unnesting arrays
    • Run with Docker
    • Load files using SQL
    • Load from Apache Hadoop
    • Jupyter Notebook tutorials
    • Get to know Query view
    • Deleting data
    • Update existing data
    • Configure data retention
    • JDBC connector
    • Aggregate data with rollup
    • Kerberized HDFS deep storage
    • Theta sketches
    • Compact segments
    • Load from Apache Kafka
    • Convert ingestion spec to SQL
    • Transform input data
    • Docker for tutorials
    • Query from deep storage
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