Apache Druid
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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
  • Schema design tips
  • Data management
  • Stream ingestion

    • Apache Kafka
    • Amazon Kinesis
    • Tranquility

    Batch ingestion

    • Native batch
    • Hadoop-based
  • Task reference
  • Troubleshooting FAQ

Querying

  • Druid SQL
  • Native queries
  • Query execution
  • Concepts

    • Datasources
    • Joins
    • Lookups
    • Multi-value dimensions
    • Multitenancy
    • Query caching
    • Context parameters

    Native query types

    • Timeseries
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    • TimeBoundary
    • SegmentMetadata
    • DatasourceMetadata

    Native query components

    • Filters
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    • 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
  • Basic cluster tuning
  • API reference
  • High availability
  • Rolling updates
  • Retaining or automatically dropping data
  • Metrics
  • Alerts
  • Working with different versions of Apache Hadoop
  • HTTP compression
  • TLS support
  • Password providers
  • dump-segment tool
  • reset-cluster tool
  • insert-segment-to-db tool
  • pull-deps tool
  • Misc

    • Legacy Management UIs
    • Deep storage migration
    • Export Metadata Tool
    • Metadata Migration
    • Segment Size Optimization
    • 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
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  • Basic Security
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  • Google Cloud Storage
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  • Realtime Process
Edit

insert-segment-to-db tool

In older versions of Apache Druid, insert-segment-to-db was a tool that could scan deep storage and insert data from there into Druid metadata storage. It was intended to be used to update the segment table in the metadata storage after manually migrating segments from one place to another, or even to recover lost metadata storage by telling it where the segments are stored.

In Druid 0.14.x and earlier, Druid wrote segment metadata to two places: the metadata store's druid_segments table, and descriptor.json files in deep storage. This practice was stopped in Druid 0.15.0 as part of consolidated metadata management, for the following reasons:

  1. If any segments are manually dropped or re-enabled by cluster operators, this information is not reflected in deep storage. Restoring metadata from deep storage would undo any such drops or re-enables.
  2. Ingestion methods that allocate segments optimistically (such as native Kafka or Kinesis stream ingestion, or native batch ingestion in 'append' mode) can write segments to deep storage that are not meant to actually be used by the Druid cluster. There is no way, while purely looking at deep storage, to differentiate the segments that made it into the metadata store originally (and therefore should be used) from the segments that did not (and therefore should not be used).
  3. Nothing in Druid other than the insert-segment-to-db tool read the descriptor.json files.

After this change, Druid stopped writing descriptor.json files to deep storage, and now only writes segment metadata to the metadata store. This meant the insert-segment-to-db tool is no longer useful, so it was removed in Druid 0.15.0.

It is highly recommended that you take regular backups of your metadata store, since it is difficult to recover Druid clusters properly without it.

← reset-cluster toolpull-deps tool →

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