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Getting started

  • Introduction to Apache Druid
  • Quickstart (local)
  • Single server deployment
  • Clustered deployment

Tutorials

  • Load files using SQL
  • Load from Apache Kafka
  • Load from Apache Hadoop
  • Query data
  • Aggregate data with rollup
  • Theta sketches
  • Configure data retention
  • Update existing data
  • Compact segments
  • Deleting data
  • Write an ingestion spec
  • Transform input data
  • Convert ingestion spec to SQL
  • Run with Docker
  • Kerberized HDFS deep storage
  • Get to know Query view
  • Unnesting arrays
  • Query from deep storage
  • Jupyter Notebook tutorials
  • Docker for tutorials
  • JDBC connector

Design

  • Design
  • Segments
  • Processes and servers
  • Deep storage
  • Metadata storage
  • ZooKeeper

Ingestion

  • Overview
  • Ingestion concepts

    • Source input formats
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    • Schema model
    • Rollup
    • Partitioning
    • Task reference

    SQL-based batch

    • SQL-based ingestion
    • Key concepts
    • Security
    • Examples
    • Reference
    • Known issues

    Streaming

    • Apache Kafka ingestion
    • Apache Kafka supervisor
    • Apache Kafka operations
    • Amazon Kinesis

    Classic batch

    • JSON-based batch
    • Hadoop-based
  • Ingestion spec reference
  • Schema design tips
  • Troubleshooting FAQ

Data management

  • Overview
  • Data updates
  • Data deletion
  • Schema changes
  • Compaction
  • Automatic compaction

Querying

    Druid SQL

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  • Native queries
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  • Concepts

    • Datasources
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    • Multi-value dimensions
    • Nested columns
    • Multitenancy
    • Query caching
    • Using query caching
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    Native query types

    • Timeseries
    • TopN
    • GroupBy
    • Scan
    • Search
    • TimeBoundary
    • SegmentMetadata
    • DatasourceMetadata

    Native query components

    • Filters
    • Granularities
    • Dimensions
    • Aggregations
    • Post-aggregations
    • Expressions
    • Having filters (groupBy)
    • Sorting and limiting (groupBy)
    • Sorting (topN)
    • String comparators
    • Virtual columns
    • Spatial filters

API reference

  • Overview
  • HTTP APIs

    • Druid SQL
    • SQL-based ingestion
    • JSON querying
    • Tasks
    • Supervisors
    • Retention rules
    • Data management
    • Automatic compaction
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    • Service status
    • Dynamic configuration
    • Legacy metadata

    Java APIs

    • SQL JDBC driver

Configuration

  • Configuration reference
  • Extensions
  • Logging

Operations

  • Web console
  • Java runtime
  • Durable storage
  • Security

    • Security overview
    • User authentication and authorization
    • LDAP auth
    • Password providers
    • Dynamic Config Providers
    • TLS support

    Performance tuning

    • Basic cluster tuning
    • Segment size optimization
    • Mixed workloads
    • HTTP compression
    • Automated metadata cleanup

    Monitoring

    • Request logging
    • Metrics
    • Alerts
  • High availability
  • Rolling updates
  • Using rules to drop and retain data
  • Migrate from firehose
  • Working with different versions of Apache Hadoop
  • Misc

    • dump-segment tool
    • reset-cluster tool
    • insert-segment-to-db tool
    • pull-deps tool
    • Deep storage migration
    • Export Metadata Tool
    • Metadata Migration
    • Content for build.sbt

Development

  • Developing on Druid
  • Creating extensions
  • JavaScript functionality
  • Build from source
  • Versioning
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  • Experimental features

Misc

  • Papers

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  • Apache Druid vs Elasticsearch
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  • Apache Druid vs Kudu
  • Apache Druid vs Redshift
  • Apache Druid vs Spark
  • Apache Druid vs SQL-on-Hadoop
  • Authentication and Authorization
  • Broker
  • Coordinator Process
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  • Peons
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  • DataSketches extension
  • DataSketches HLL Sketch module
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  • Basic Security
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  • Graphite Emitter
  • InfluxDB Line Protocol Parser
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  • Moment Sketches for Approximate Quantiles module
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  • GCE Extensions
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  • Firehose (deprecated)
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  • Select
  • Load files natively
Edit

Druid pac4j based Security extension

Apache Druid Extension to enable OpenID Connect based Authentication for Druid Processes using pac4j as the underlying client library. This can be used with any authentication server that supports same e.g. Okta. The pac4j authenticator should only be used at the router node to enable a group of users in existing authentication server to interact with Druid cluster, using the web console.

This extension also provides a JWT authenticator that validates ID Tokens associated with a request. ID Tokens are attached to the request under the Authorization header with the bearer token prefix - Bearer. This authenticator is intended for services to talk to Druid by initially authenticating with an OIDC server to retrieve the ID Token which is then attached to every Druid request.

This extension does not support JDBC client authentication.

Configuration

Creating an Authenticator

#Create a pac4j web user authenticator
druid.auth.authenticatorChain=["pac4j"]
druid.auth.authenticator.pac4j.type=pac4j

#Create a JWT token authenticator
druid.auth.authenticatorChain=["jwt"]
druid.auth.authenticator.jwt.type=jwt

Properties

PropertyDescriptionDefaultrequired
druid.auth.pac4j.cookiePassphrasepassphrase for encrypting the cookies used to manage authentication session with browser. It can be provided as plaintext string or The Password Provider.noneYes
druid.auth.pac4j.readTimeoutSocket connect and read timeout duration used when communicating with authentication serverPT5SNo
druid.auth.pac4j.enableCustomSslContextWhether to use custom SSLContext setup via simple-client-sslcontext extension which must be added to extensions list when this property is set to true.falseNo
druid.auth.pac4j.oidc.clientIDOAuth Client Application id.noneYes
druid.auth.pac4j.oidc.clientSecretOAuth Client Application secret. It can be provided as plaintext string or The Password Provider.noneYes
druid.auth.pac4j.oidc.discoveryURIdiscovery URI for fetching OP metadata see this.noneYes
druid.auth.pac4j.oidc.oidcClaimclaim that will be extracted from the ID Token after validation.nameNo
druid.auth.pac4j.oidc.scopescope is used by an application during authentication to authorize access to a user's detailsopenid profile emailNo
← ORC ExtensionApache Parquet Extension →
  • Configuration
    • Creating an Authenticator
    • Properties

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