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Apache Druid v0.23.0 Documentation
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Performance tuning

 Download  来源:druid 浏览 155 扫码 分享 2022-09-17 10:23:06
  • Basic cluster tuning
  • Segment Size Optimization
  • Mixed workloads
  • HTTP compression
  • Automated metadata cleanup
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  • Apache Druid v28.0 Documentation
  • Apache Druid v27.0 Documentation
  • Apache Druid v26.0 Documentation
  • Apache Druid v25.0 Documentation
  • Apache Druid v24.0 Documentation
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  • Apache Druid v0.22.1 Documentation
  • Apache Druid v0.22.0 Documentation
  • Apache Druid v0.21.1 Documentation
  • Apache Druid v0.21.0 Documentation
  • Apache Druid v0.20.2 Documentation
  • Apache Druid v0.20.1 Documentation
  • Apache Druid v0.20.0 Documentation
  • Apache Druid v0.19.0 Documentation
  • Apache Druid v0.18.1 Documentation
  • Apache Druid v0.18.0 Documentation
  • Apache Druid v0.17.1 Documentation
  • Getting started
    • Introduction to Apache Druid
    • Quickstart
    • Docker
    • Single server deployment
    • Clustered deployment
  • Tutorials
    • Loading files natively
    • Load from Apache Kafka
    • Load from Apache Hadoop
    • Querying data
    • Roll-up
    • Configuring data retention
    • Updating existing data
    • Compacting segments
    • Deleting data
    • Writing an ingestion spec
    • Transforming input data
    • Kerberized HDFS deep storage
  • Design
    • Design
    • Segments
    • Processes and servers
    • Deep storage
    • Metadata storage
    • ZooKeeper
  • Ingestion
    • Ingestion
    • Data formats
    • Data model
    • Data rollup
    • Partitioning
    • Ingestion spec
    • Schema design tips
    • Data management
    • Compaction
    • Stream ingestion
      • Apache Kafka ingestion
      • Apache Kafka supervisor
      • Apache Kafka operations
      • Amazon Kinesis
    • Batch ingestion
      • Native batch
      • Simple task indexing
      • Input sources
      • Firehose
      • Hadoop-based
      • Task reference
      • Troubleshooting FAQ
  • Querying
    • Druid SQL
      • Overview and syntax
      • SQL data types
      • Operators
      • Scalar functions
      • Aggregation functions
      • Multi-value string functions
      • Druid SQL API
      • JDBC driver API
      • SQL query context
      • SQL metadata tables
      • SQL query translation
      • Native queries
      • Query execution
      • Troubleshooting
    • Concepts
      • Datasources
      • Joins
      • Lookups
      • Multi-value dimensions
      • Multitenancy
      • Query caching
      • Using query caching
      • Query context
    • 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
  • Configuration
    • Configuration reference
    • Extensions
    • Logging
  • Operations
    • Web console
    • Getting started with Apache Druid
    • 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
      • API reference
      • High availability
      • Rolling updates
      • Retaining or automatically dropping data
      • Working with different versions of Apache Hadoop
    • Misc
      • Legacy Management UIs
      • 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
    • Experimental features
  • Misc
    • Papers
  • Hidden
    • Apache Druid vs Elasticsearch
    • Apache Druid vs. Key/Value Stores (HBase/Cassandra/OpenTSDB)
    • Apache Druid vs Kudu
    • Apache Druid vs Redshift
    • Apache Druid vs Spark
    • Apache Druid vs SQL-on-Hadoop
    • Authentication and Authorization
    • Broker
    • Coordinator Process
    • Historical Process
    • Indexer Process
    • Indexing Service
    • MiddleManager Process
    • Overlord Process
    • Router Process
    • Peons
    • Approximate Histogram aggregators
    • Apache Avro
    • Microsoft Azure
    • Bloom Filter
    • DataSketches extension
    • DataSketches HLL Sketch module
    • DataSketches Quantiles Sketch module
    • DataSketches Theta Sketch module
    • DataSketches Tuple Sketch module
    • Basic Security
    • Kerberos
    • Cached Lookup Module
    • Apache Ranger Security
    • Google Cloud Storage
    • HDFS
    • Apache Kafka Lookups
    • Globally Cached Lookups
    • MySQL Metadata Store
    • ORC Extension
    • Druid pac4j based Security extension
    • Apache Parquet Extension
    • PostgreSQL Metadata Store
    • Protobuf
    • S3-compatible
    • Simple SSLContext Provider Module
    • Stats aggregator
    • Test Stats Aggregators
    • Druid AWS RDS Module
    • Kubernetes
    • Ambari Metrics Emitter
    • Apache Cassandra
    • Rackspace Cloud Files
    • DistinctCount Aggregator
    • Graphite Emitter
    • InfluxDB Line Protocol Parser
    • InfluxDB Emitter
    • Kafka Emitter
    • Materialized View
    • Moment Sketches for Approximate Quantiles module
    • Moving Average Query
    • OpenTSDB Emitter
    • Druid Redis Cache
    • Microsoft SQLServer
    • StatsD Emitter
    • T-Digest Quantiles Sketch module
    • Thrift
    • Timestamp Min/Max aggregators
    • GCE Extensions
    • Aliyun OSS
    • Prometheus Emitter
    • kubernetes
    • Cardinality/HyperUnique aggregators
    • Select
    • Realtime Process
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