Apache Druid v0.23.0 Documentation
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Ingestion
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2022-09-17 10:23:04
Data model
Ingestion spec
Compaction
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Introduction to Apache Druid
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InfluxDB Emitter
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Rackspace Cloud Files
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Apache Druid vs Elasticsearch
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Apache Druid vs Spark
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Apache Druid vs SQL-on-Hadoop
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Google Cloud Storage
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HDFS
Microsoft SQLServer
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Apache Druid vs Redshift
Timestamp Min/Max aggregators
Bloom Filter
Apache Druid vs. Key/Value Stores (HBase/Cassandra/OpenTSDB)
Stats aggregator
Peons
Cardinality/HyperUnique aggregators
Apache Druid vs Kudu
Globally Cached Lookups
Materialized View
Realtime Process
StatsD Emitter
Simple SSLContext Provider Module
Druid AWS RDS Module
T-Digest Quantiles Sketch module
Druid pac4j based Security extension
Druid Redis Cache
Apache Parquet Extension
Coordinator Process
Ingestion
Partitioning
Compaction
Ingestion
Data model
Ingestion spec
Data rollup
Schema design tips
Data management
Data formats
Batch ingestion
Simple task indexing
Task reference
Firehose
Input sources
Native batch
Hadoop-based
Troubleshooting FAQ
Stream ingestion
Apache Kafka ingestion
Apache Kafka operations
Apache Kafka supervisor
Amazon Kinesis
Misc
Papers
Operations
Getting started with Apache Druid
Web console
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reset-cluster tool
Metadata Migration
dump-segment tool
Legacy Management UIs
Export Metadata Tool
Content for build.sbt
pull-deps tool
insert-segment-to-db tool
Deep storage migration
Monitoring
Working with different versions of Apache Hadoop
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API reference
Retaining or automatically dropping data
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HTTP compression
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Automated metadata cleanup
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Segment Size Optimization
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Dynamic Config Providers
LDAP auth
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Security overview
Querying
Concepts
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Multi-value dimensions
Query caching
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Using query caching
Multitenancy
Druid SQL
SQL metadata tables
Druid SQL API
Native queries
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SQL query context
SQL query translation
Operators
Overview and syntax
Aggregation functions
JDBC driver API
Multi-value string functions
SQL data types
Troubleshooting
Query execution
Native query components
String comparators
Dimensions
Having filters (groupBy)
Sorting (topN)
Sorting and limiting (groupBy)
Expressions
Aggregations
Spatial filters
Virtual columns
Post-aggregations
Granularities
Filters
Native query types
Scan
DatasourceMetadata
Search
Timeseries
GroupBy
TimeBoundary
SegmentMetadata
TopN
Tutorials
Deleting data
Querying data
Writing an ingestion spec
Transforming input data
Load from Apache Hadoop
Configuring data retention
Loading files natively
Load from Apache Kafka
Updating existing data
Kerberized HDFS deep storage
Compacting segments
Roll-up
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