2023.03

2023.03

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›Data management

Overview

  • About Imply administration

Manager

  • Using Imply Manager
  • Managing Imply clusters
  • Imply Manager security
  • Extensions

Users

  • Imply Manager users
  • Druid API access
  • Authentication and Authorization

    • Get started with Imply Hybrid Auth
    • Authentication
    • Local users
    • User roles
    • User groups
    • User sessions
    • Brute force attack detection
    • Identity provider integration
    • Okta OIDC integration
    • Okta SAML integration
    • LDAP integration
    • OAuth client authentication

Clarity

  • Monitoring
  • Set up SaaS Clarity
  • Cloudwatch monitoring
  • Metrics

Druid administration

  • Configuration reference
  • Logging
  • API reference
  • Druid design

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

    Data management

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

    Security

    • Security overview
    • User authentication and authorization
    • LDAP auth
    • Dynamic Config Providers
    • Password providers
    • Authentication and Authorization
    • TLS support
    • Row and column level security

    Performance tuning

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

    View Manager

    • View Manager
    • View Manager API
    • Create a view
    • List views
    • Delete a view
    • Inspect view load status
  • Rolling updates
  • Using rules to drop and retain data
  • Alerts
  • Java runtime
  • Working with different versions of Apache Hadoop
  • Misc

    • dump-segment tool
    • reset-cluster tool
    • pull-deps tool
    • Deep storage migration
    • Export Metadata Tool
    • Metadata Migration

Data management

Apache Druid stores data partitioned by time chunk in immutable files called segments. Data management operations involving replacing, or deleting, these segments include:

  • Updates to existing data.
  • Deletion of existing data.
  • Schema changes for new and existing data.
  • Compaction and automatic compaction, which reindex existing data to optimize storage footprint and performance.
Last updated on 11/17/2022
← ZooKeeperData updates →
2023.03
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