Apache Druid v24.0 Documentation
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Realtime Process
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2022-12-24 17:08:02
Realtime Process
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Configuration
Configuration reference
Extensions
Logging
Data management
Overview
Schema changes
Data updates
Compaction
Data deletion
Automatic compaction
Design
ZooKeeper
Processes and servers
Metadata storage
Design
Deep storage
Segments
Development
Developing on Druid
Experimental features
Creating extensions
JavaScript functionality
Build from source
Versioning
Getting started
Quickstart (local)
Single server deployment
Clustered deployment
Introduction to Apache Druid
Hidden
DataSketches Quantiles Sketch module
Druid Redis Cache
Coordinator Process
Google Cloud Storage
Timestamp Min/Max aggregators
Firehose (deprecated)
DataSketches HLL Sketch module
Microsoft SQLServer
Apache Ranger Security
DataSketches extension
Apache Druid vs Kudu
Kafka Emitter
StatsD Emitter
Kerberos
Prometheus Emitter
Apache Kafka Lookups
Historical Process
Globally Cached Lookups
Authentication and Authorization
DistinctCount Aggregator
Materialized View
InfluxDB Emitter
HDFS
Native batch (simple)
Moment Sketches for Approximate Quantiles module
PostgreSQL Metadata Store
Apache Parquet Extension
Microsoft Azure
Approximate Histogram aggregators
Protobuf
Simple SSLContext Provider Module
S3-compatible
InfluxDB Line Protocol Parser
Rackspace Cloud Files
Broker
Apache Druid vs SQL-on-Hadoop
Apache Druid vs Spark
Graphite Emitter
Cardinality/HyperUnique aggregators
kubernetes
Peons
Overlord Process
Realtime Process
T-Digest Quantiles Sketch module
Apache Druid vs. Key/Value Stores (HBase/Cassandra/OpenTSDB)
MySQL Metadata Store
GCE Extensions
Kubernetes
DataSketches Theta Sketch module
Router Process
DataSketches Tuple Sketch module
Indexer Process
Apache Cassandra
Ambari Metrics Emitter
Druid AWS RDS Module
Stats aggregator
Apache Druid vs Elasticsearch
Moving Average Query
Cached Lookup Module
Apache Druid vs Redshift
Aliyun OSS
ORC Extension
Thrift
Select
Bloom Filter
MiddleManager Process
Druid pac4j based Security extension
Basic Security
OpenTSDB Emitter
Test Stats Aggregators
Indexing Service
Apache Avro
Ingestion
Schema design tips
Partitioning
Data rollup
Ingestion
Data formats
Ingestion spec
Data model
Batch ingestion
Native batch
Native batch: input sources
Hadoop-based
SQL-based ingestion 🆕
Overview
Reference
API
Troubleshooting FAQ
Task reference
Known issues
Security
Key concepts
Examples
Stream ingestion
Apache Kafka operations
Apache Kafka supervisor
Amazon Kinesis
Apache Kafka ingestion
Misc
Papers
Operations
Java runtime
Web console
Misc
insert-segment-to-db tool
reset-cluster tool
Metadata Migration
Export Metadata Tool
Content for build.sbt
Deep storage migration
dump-segment tool
pull-deps tool
Monitoring
Request logging
API reference
Metrics
Rolling updates
High availability
Retaining or automatically dropping data
Alerts
Working with different versions of Apache Hadoop
Performance tuning
Basic cluster tuning
Mixed workloads
HTTP compression
Automated metadata cleanup
Segment size optimization
Security
LDAP auth
Security overview
TLS support
Dynamic Config Providers
Password providers
User authentication and authorization
Querying
Concepts
Query context
Joins
Lookups
Multitenancy
Query caching
Multi-value dimensions
Using query caching
Datasources
Nested columns
Druid SQL
JDBC driver API
Multi-value string functions
Druid SQL API
SQL metadata tables
All functions
Native queries
Overview and syntax
JSON functions
SQL query context
Aggregation functions
SQL query translation
SQL data types
Operators
Scalar functions
Troubleshooting
Query execution
Native query components
Sorting and limiting (groupBy)
Spatial filters
Expressions
Dimensions
Sorting (topN)
Filters
Virtual columns
Aggregations
String comparators
Having filters (groupBy)
Post-aggregations
Granularities
Native query types
TimeBoundary
SegmentMetadata
TopN
GroupBy
DatasourceMetadata
Scan
Search
Timeseries
Tutorials
Updating existing data
Load from Apache Kafka
Load files natively
Tutorial: Run with Docker
Load files using SQL 🆕
Querying data
Convert ingestion spec to SQL
Deleting data
Transforming input data
Compacting segments
Load from Apache Hadoop
Theta sketches
Kerberized HDFS deep storage
Writing an ingestion spec
Configuring data retention
Roll-up
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