Apache Druid
  • Imply Documentation

›Hidden

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
    • 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
  • 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
  • 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
  • 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
  • Cardinality/HyperUnique aggregators
  • Select
  • Realtime Process
Edit

Ambari Metrics Emitter

To use this Apache Druid extension, make sure to include ambari-metrics-emitter extension.

Introduction

This extension emits Druid metrics to a ambari-metrics carbon server. Events are sent after been pickled; the size of the batch is configurable.

Configuration

All the configuration parameters for ambari-metrics emitter are under druid.emitter.ambari-metrics.

propertydescriptionrequired?default
druid.emitter.ambari-metrics.hostnameThe hostname of the ambari-metrics server.yesnone
druid.emitter.ambari-metrics.portThe port of the ambari-metrics server.yesnone
druid.emitter.ambari-metrics.protocolThe protocol used to send metrics to ambari metrics collector. One of http/httpsnohttp
druid.emitter.ambari-metrics.trustStorePathPath to trustStore to be used for httpsnonone
druid.emitter.ambari-metrics.trustStoreTypetrustStore type to be used for httpsnonone
druid.emitter.ambari-metrics.trustStoreTypetrustStore password to be used for httpsnonone
druid.emitter.ambari-metrics.batchSizeNumber of events to send as one batch.no100
druid.emitter.ambari-metrics.eventConverterFilter and converter of druid events to ambari-metrics timeline event(please see next section).yesnone
druid.emitter.ambari-metrics.flushPeriodQueue flushing period in milliseconds.no1 minute
druid.emitter.ambari-metrics.maxQueueSizeMaximum size of the queue used to buffer events.noMAX_INT
druid.emitter.ambari-metrics.alertEmittersList of emitters where alerts will be forwarded to.noempty list (no forwarding)
druid.emitter.ambari-metrics.emitWaitTimewait time in milliseconds to try to send the event otherwise emitter will throwing event.no0
druid.emitter.ambari-metrics.waitForEventTimewaiting time in milliseconds if necessary for an event to become available.no1000 (1 sec)

Druid to Ambari Metrics Timeline Event Converter

Ambari Metrics Timeline Event Converter defines a mapping between druid metrics name plus dimensions to a timeline event metricName. ambari-metrics metric path is organized using the following schema: <namespacePrefix>.[<druid service name>].[<druid hostname>].<druid metrics dimensions>.<druid metrics name> Properly naming the metrics is critical to avoid conflicts, confusing data and potentially wrong interpretation later on.

Example druid.historical.hist-host1:8080.MyDataSourceName.GroupBy.query/time:

  • druid -> namespace prefix
  • historical -> service name
  • hist-host1:8080 -> druid hostname
  • MyDataSourceName -> dimension value
  • GroupBy -> dimension value
  • query/time -> metric name

We have two different implementation of event converter:

Send-All converter

The first implementation called all, will send all the druid service metrics events. The path will be in the form <namespacePrefix>.[<druid service name>].[<druid hostname>].<dimensions values ordered by dimension's name>.<metric> User has control of <namespacePrefix>.[<druid service name>].[<druid hostname>].


druid.emitter.ambari-metrics.eventConverter={"type":"all", "namespacePrefix": "druid.test", "appName":"druid"}

White-list based converter

The second implementation called whiteList, will send only the white listed metrics and dimensions. Same as for the all converter user has control of <namespacePrefix>.[<druid service name>].[<druid hostname>]. White-list based converter comes with the following default white list map located under resources in ./src/main/resources/defaultWhiteListMap.json

Although user can override the default white list map by supplying a property called mapPath. This property is a String containing the path for the file containing white list map JSON object. For example the following converter will read the map from the file /pathPrefix/fileName.json.


druid.emitter.ambari-metrics.eventConverter={"type":"whiteList", "namespacePrefix": "druid.test", "ignoreHostname":true, "appName":"druid", "mapPath":"/pathPrefix/fileName.json"}

Druid emits a huge number of metrics we highly recommend to use the whiteList converter

← Test Stats AggregatorsApache Cassandra →
  • Introduction
  • Configuration
    • Druid to Ambari Metrics Timeline Event Converter

Technology · Use Cases · Powered by Druid · Docs · Community · Download · FAQ

 ·  ·  · 
Copyright © 2019 Apache Software Foundation.
Except where otherwise noted, licensed under CC BY-SA 4.0.
Apache Druid, Druid, and the Druid logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.