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  • Introduction
  • Basics
    • Concepts
    • Architecture
    • Components
      • Cluster
      • Controller
      • Broker
      • Server
      • Minion
      • Tenant
      • Table
      • Schema
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    • Getting started
      • Frequent questions
      • Running Pinot locally
      • Running Pinot in Docker
      • Running Pinot in Kubernetes
      • Public cloud examples
        • Running on Azure
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      • Manual cluster setup
      • Batch import example
      • Stream ingestion example
    • Data import
      • Stream ingestion
        • Import from Kafka
      • File systems
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        • Import from HDFS
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      • Input formats
        • Import from CSV
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        • Import from Avro
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        • Import from Thrift
        • Import from ORC
    • Feature guides
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    • Advanced
      • Data Ingestion Overview
      • Advanced Pinot Setup
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        • Batch
          • Creating Pinot Segments
          • Write your batch
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          • Creating Pinot Segments
          • Write your stream
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  • For Operators
    • Basics
      • Setup cluster
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      • Setup ingestion
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        • Realtime
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      • Build Docker Images
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      • Amazon EKS (Kafka)
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  • PLUGINS
    • Plugin Architecture
    • Pinot Input Format
    • Pinot File System
    • Pinot Batch Ingestion
    • Pinot Stream Ingestion
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  1. For Operators
  2. Basics

Tuning

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Last updated 4 years ago

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Tuning Pinot

This section provides information on various options to tune Pinot cluster for storage and query efficiency. Unlike Key-Value store, tuning Pinot sometimes can be tricky because the cost of query can vary depending on the workload and data characteristics.

If you want to improve query latency for your use case, you can refer to Index Techniques section. If your use case faces the scalability issue after tuning index, you can refer Optimizing Scatter and Gather for improving query throughput for Pinot cluster. If you have identified a performance issue on the specific component (broker or server), you can refer to the Tuning Broker or Tuning Server section.

Index Techniques
Star-Tree: A Specialized Index for Fast Aggregations
Optimizing Scatter and Gather
Tuning Realtime Performance