mirror of https://github.com/apache/druid.git
124 lines
3.8 KiB
Markdown
124 lines
3.8 KiB
Markdown
---
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id: tutorial-kerberos-hadoop
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title: Configure Apache Druid to use Kerberized Apache Hadoop as deep storage
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sidebar_label: Kerberized HDFS deep storage
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---
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<!--
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~ Licensed to the Apache Software Foundation (ASF) under one
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~ or more contributor license agreements. See the NOTICE file
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~ distributed with this work for additional information
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~ regarding copyright ownership. The ASF licenses this file
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~ to you under the Apache License, Version 2.0 (the
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~ "License"); you may not use this file except in compliance
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~ with the License. You may obtain a copy of the License at
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~
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~ http://www.apache.org/licenses/LICENSE-2.0
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~
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~ Unless required by applicable law or agreed to in writing,
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~ software distributed under the License is distributed on an
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~ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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~ specific language governing permissions and limitations
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~ under the License.
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## Hadoop Setup
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Following are the configurations files required to be copied over to Druid conf folders:
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1. For HDFS as a deep storage, hdfs-site.xml, core-site.xml
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2. For ingestion, mapred-site.xml, yarn-site.xml
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### HDFS Folders and permissions
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1. Choose any folder name for the druid deep storage, for example 'druid'
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2. Create the folder in hdfs under the required parent folder. For example,
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`hdfs dfs -mkdir /druid`
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OR
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`hdfs dfs -mkdir /apps/druid`
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3. Give druid processes appropriate permissions for the druid processes to access this folder. This would ensure that druid is able to create necessary folders like data and indexing_log in HDFS.
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For example, if druid processes run as user 'root', then
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`hdfs dfs -chown root:root /apps/druid`
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OR
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`hdfs dfs -chmod 777 /apps/druid`
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Druid creates necessary sub-folders to store data and index under this newly created folder.
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## Druid Setup
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Edit common.runtime.properties at conf/druid/_common/common.runtime.properties to include the HDFS properties. Folders used for the location are same as the ones used for example above.
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### common.runtime.properties
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```properties
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# Deep storage
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#
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# For HDFS:
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druid.storage.type=hdfs
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druid.storage.storageDirectory=/druid/segments
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# OR
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# druid.storage.storageDirectory=/apps/druid/segments
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#
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# Indexing service logs
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#
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# For HDFS:
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druid.indexer.logs.type=hdfs
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druid.indexer.logs.directory=/druid/indexing-logs
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# OR
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# druid.storage.storageDirectory=/apps/druid/indexing-logs
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```
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Note: Comment out Local storage and S3 Storage parameters in the file
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Also include hdfs-storage core extension to `conf/druid/_common/common.runtime.properties`
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```properties
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#
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# Extensions
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#
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druid.extensions.directory=dist/druid/extensions
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druid.extensions.hadoopDependenciesDir=dist/druid/hadoop-dependencies
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druid.extensions.loadList=["mysql-metadata-storage", "druid-hdfs-storage", "druid-kerberos"]
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```
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### Hadoop Jars
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Ensure that Druid has necessary jars to support the Hadoop version.
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Find the hadoop version using command, `hadoop version`
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In case there is other software used with hadoop, like `WanDisco`, ensure that
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1. the necessary libraries are available
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2. add the requisite extensions to `druid.extensions.loadlist` in `conf/druid/_common/common.runtime.properties`
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### Kerberos setup
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Create a headless keytab which would have access to the druid data and index.
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Edit conf/druid/_common/common.runtime.properties and add the following properties:
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```properties
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druid.hadoop.security.kerberos.principal
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druid.hadoop.security.kerberos.keytab
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```
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For example
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```properties
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druid.hadoop.security.kerberos.principal=hdfs-test@EXAMPLE.IO
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druid.hadoop.security.kerberos.keytab=/etc/security/keytabs/hdfs.headless.keytab
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```
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### Restart Druid Services
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With the above changes, restart Druid. This would ensure that Druid works with Kerberized Hadoop
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