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Getting started

  • Introduction to Apache Druid
  • Quickstart (local)
  • Single server deployment
  • Clustered deployment

Tutorials

  • Load files natively
  • Load files using SQL ๐Ÿ†•
  • Load from Apache Kafka
  • Load from Apache Hadoop
  • Querying data
  • Roll-up
  • Theta sketches
  • Configuring data retention
  • Updating existing data
  • Compacting segments
  • Deleting data
  • Writing an ingestion spec
  • Transforming input data
  • Tutorial: Run with Docker
  • Kerberized HDFS deep storage
  • Convert ingestion spec to SQL
  • Jupyter Notebook tutorials

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
  • Stream ingestion

    • Apache Kafka ingestion
    • Apache Kafka supervisor
    • Apache Kafka operations
    • Amazon Kinesis

    Batch ingestion

    • Native batch
    • Native batch: input sources
    • Migrate from firehose
    • Hadoop-based

    SQL-based ingestion ๐Ÿ†•

    • Overview
    • Key concepts
    • API
    • Security
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    • Known issues
  • Task reference
  • Troubleshooting FAQ

Data management

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

Querying

    Druid SQL

    • Overview and syntax
    • SQL data types
    • Operators
    • Scalar functions
    • Aggregation functions
    • Multi-value string functions
    • JSON functions
    • All 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
    • Nested columns
    • 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
  • Java runtime
  • 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
  • Using rules to drop and retain data
  • Working with different versions of Apache Hadoop
  • Misc

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

  • Developing on Druid
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Misc

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  • 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
  • Firehose (deprecated)
  • Native batch (simple)
  • Realtime Process
Edit

MySQL Metadata Store

To use this Apache Druid extension, include mysql-metadata-storage in the extensions load list.

The MySQL extension requires the MySQL Connector/J library or MariaDB Connector/J library, neither of which are included in the Druid distribution. Refer to the following section for instructions on how to install this library.

Installing the MySQL connector library

This extension can use Oracle's MySQL JDBC driver which is not included in the Druid distribution. You must install it separately. There are a few ways to obtain this library:

  • It can be downloaded from the MySQL site at: https://dev.mysql.com/downloads/connector/j/
  • It can be fetched from Maven Central at: https://repo1.maven.org/maven2/mysql/mysql-connector-java/5.1.49/mysql-connector-java-5.1.49.jar
  • It may be available through your package manager, e.g. as libmysql-java on APT for a Debian-based OS

This fetches the MySQL connector JAR file with a name like mysql-connector-java-5.1.49.jar.

Copy or symlink this file inside the folder extensions/mysql-metadata-storage under the distribution root directory.

Alternative: Installing the MariaDB connector library

This extension also supports using the MariaDB connector jar, though it is also not included in the Druid distribution, so you must install it separately.

  • Download from the MariaDB site: https://mariadb.com/downloads/connector
  • Download from Maven Central: https://repo1.maven.org/maven2/org/mariadb/jdbc/mariadb-java-client/2.7.3/mariadb-java-client-2.7.3.jar

This fetches the MariaDB connector JAR file with a name like maria-java-client-2.7.3.jar.

Copy or symlink this file to extensions/mysql-metadata-storage under the distribution root directory.

To configure the mysql-metadata-storage extension to use the MariaDB connector library instead of MySQL, set druid.metadata.mysql.driver.driverClassName=org.mariadb.jdbc.Driver.

Depending on the MariaDB client library version, the connector supports both jdbc:mysql: and jdbc:mariadb: connection URIs. However, the parameters to configure the connection vary between implementations, so be sure to check the documentation for details.

Setting up MySQL

  1. Install MySQL

Use your favorite package manager to install mysql, e.g.:

  • on Ubuntu/Debian using apt apt-get install mysql-server
  • on OS X, using Homebrew brew install mysql

Alternatively, download and follow installation instructions for MySQL Community Server here: http://dev.mysql.com/downloads/mysql/.

This extension also supports using MariaDB server, https://mariadb.org/download/, substituting for MariaDB in the following instructions where appropriate.

  1. Create a druid database and user

Connect to MySQL from the machine where it is installed.

> mysql -u root

Paste the following snippet into the mysql prompt:

-- create a druid database, make sure to use utf8mb4 as encoding
CREATE DATABASE druid DEFAULT CHARACTER SET utf8mb4;

-- create a druid user
CREATE USER 'druid'@'localhost' IDENTIFIED BY 'diurd';

-- grant the user all the permissions on the database we just created
GRANT ALL PRIVILEGES ON druid.* TO 'druid'@'localhost';
  1. Configure your Druid metadata storage extension:

Add the following parameters to your Druid configuration, replacing <host> with the location (host name and port) of the database.

druid.extensions.loadList=["mysql-metadata-storage"]
druid.metadata.storage.type=mysql
druid.metadata.storage.connector.connectURI=jdbc:mysql://<host>/druid
druid.metadata.storage.connector.user=druid
druid.metadata.storage.connector.password=diurd

If using the MariaDB connector library, set druid.metadata.mysql.driver.driverClassName=org.mariadb.jdbc.Driver.

Encrypting MySQL connections

This extension provides support for encrypting MySQL connections. To get more information about encrypting MySQL connections using TLS/SSL in general, please refer to this guide.

Configuration

PropertyDescriptionDefaultRequired
druid.metadata.mysql.ssl.useSSLEnable SSLfalseno
druid.metadata.mysql.ssl.clientCertificateKeyStoreUrlThe file path URL to the client certificate key store.noneno
druid.metadata.mysql.ssl.clientCertificateKeyStoreTypeThe type of the key store where the client certificate is stored.noneno
druid.metadata.mysql.ssl.clientCertificateKeyStorePasswordThe Password Provider or String password for the client key store.noneno
druid.metadata.mysql.ssl.verifyServerCertificateEnables server certificate verification.falseno
druid.metadata.mysql.ssl.trustCertificateKeyStoreUrlThe file path to the trusted root certificate key store.Default trust store provided by MySQLyes if verifyServerCertificate is set to true and a custom trust store is used
druid.metadata.mysql.ssl.trustCertificateKeyStoreTypeThe type of the key store where trusted root certificates are stored.JKSyes if verifyServerCertificate is set to true and keystore type is not JKS
druid.metadata.mysql.ssl.trustCertificateKeyStorePasswordThe Password Provider or String password for the trust store.noneyes if verifyServerCertificate is set to true and password is not null
druid.metadata.mysql.ssl.enabledSSLCipherSuitesOverrides the existing cipher suites with these cipher suites.noneno
druid.metadata.mysql.ssl.enabledTLSProtocolsOverrides the TLS protocols with these protocols.noneno

MySQL InputSource and Firehose

{
  "type": "index_parallel",
  "spec": {
    "dataSchema": {
      "dataSource": "some_datasource",
      "parser": {
        "parseSpec": {
          "format": "timeAndDims",
          "dimensionsSpec": {
            "dimensionExclusions": [],
            "dimensions": [
              "dim1",
              "dim2",
              "dim3"
            ]
          },
          "timestampSpec": {
            "format": "auto",
            "column": "ts"
          }
        }
      },
      "metricsSpec": [],
      "granularitySpec": {
        "type": "uniform",
        "segmentGranularity": "DAY",
        "queryGranularity": {
          "type": "none"
        },
        "rollup": false,
        "intervals": null
      },
      "transformSpec": {
        "filter": null,
        "transforms": []
      }
    },
    "ioConfig": {
      "type": "index_parallel",
      "firehose": {
        "type": "sql",
        "database": {
          "type": "mysql",
          "connectorConfig": {
            "connectURI": "jdbc:mysql://some-rds-host.us-west-1.rds.amazonaws.com:3306/druid",
            "user": "admin",
            "password": "secret"
          }
        },
        "sqls": [
          "SELECT * FROM some_table"
        ]
      }
    },
    "tuningConfig": {
      "type": "index_parallel"
    }
  }
}
โ† Globally Cached LookupsORC Extension โ†’
  • Installing the MySQL connector library
  • Alternative: Installing the MariaDB connector library
  • Setting up MySQL
  • Encrypting MySQL connections
  • Configuration
    • MySQL InputSource and Firehose

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Copyright ยฉ 2022 Apache Software Foundation.
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