2018-05-22 13:49:10 -04:00
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---
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title: Getting started
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weight: -2
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menu: main
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---
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<!---
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. See accompanying LICENSE file.
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-->
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2018-05-22 13:49:10 -04:00
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2018-06-07 17:10:52 -04:00
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# Ozone - Object store for Apache Hadoop
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2018-06-07 17:10:52 -04:00
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## Introduction
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2018-06-07 17:10:52 -04:00
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Ozone is a scalable distributed object store for Hadoop. Ozone supports RPC
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and REST APIs for working with Volumes, Buckets and Keys.
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Existing Hadoop applications can use Ozone transparently via a Hadoop Compatible
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FileSystem shim.
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2018-06-07 17:10:52 -04:00
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### Basic terminology
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1. **Volumes** - Volumes are a notion similar to accounts. Volumes can be
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created or deleted only by administrators.
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1. **Buckets** - A volume can contain zero or more buckets.
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1. **Keys** - Keys are unique within a given bucket.
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2018-06-07 17:10:52 -04:00
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### Services in a minimal Ozone cluster
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1. **Ozone Manager (OM)** - stores Ozone Metadata namely Volumes,
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Buckets and Key names.
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1. **Storage Container Manager (SCM)** - handles Storage Container lifecycle.
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Containers are the unit of replication in Ozone and not exposed to users.
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1. **DataNodes** - These are HDFS DataNodes which understand how to store
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Ozone Containers. Ozone has been designed to efficiently share storage space
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with HDFS blocks.
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2018-06-07 17:10:52 -04:00
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## Getting Started
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2018-06-07 17:10:52 -04:00
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Ozone is currently work-in-progress and lives in the Hadoop source tree.
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The sub-projects (`hadoop-ozone` and `hadoop-hdds`) are part of
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the Hadoop source tree but they are not compiled by default and not
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part of official Apache Hadoop releases.
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2018-06-07 17:10:52 -04:00
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To use Ozone, you have to build a package by yourself and deploy a cluster.
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2018-06-07 17:10:52 -04:00
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### Building Ozone
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2018-06-07 17:10:52 -04:00
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To build Ozone, please checkout the Hadoop sources from the
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[Apache Hadoop git repo](https://git-wip-us.apache.org/repos/asf?p=hadoop.git).
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Then checkout the `trunk` branch and build it with the `hdds` profile enabled.
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2018-06-07 17:10:52 -04:00
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`
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git checkout trunk
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mvn clean package -DskipTests=true -Dmaven.javadoc.skip=true -Pdist -Phdds -Dtar -DskipShade
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`
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`skipShade` is just to make compilation faster and not required.
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This builds a tarball in your distribution directory which can be used to deploy your
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Ozone cluster. The tarball path is `hadoop-dist/target/ozone-${project.version}.tar.gz`.
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2018-06-07 17:10:52 -04:00
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At this point you can either setup a physical cluster or run Ozone via
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docker.
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2018-06-07 17:10:52 -04:00
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### Running Ozone via Docker
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2018-06-07 17:10:52 -04:00
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This is the quickest way to bring up an Ozone cluster for development/testing
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or if you just want to get a feel for Ozone. It assumes that you have docker installed
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on the machine.
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Go to the directory where the docker compose files exist and tell
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`docker-compose` to start Ozone. This will start SCM, OM and a single datanode
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in the background.
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2018-08-29 16:51:24 -04:00
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```
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cd hadoop-dist/target/ozone-*/compose/ozone
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docker-compose up -d
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```
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2018-06-07 17:10:52 -04:00
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Now let us run some workload against Ozone. To do that we will run
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_freon_, the Ozone load generator after logging into one of the docker
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containers for OM, SCM or DataNode. Let's take DataNode for example:.
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```
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docker-compose exec datanode bash
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ozone freon -mode offline -validateWrites -numOfVolumes 1 -numOfBuckets 10 -numOfKeys 100
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```
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2018-06-07 17:10:52 -04:00
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You can checkout the OM UI to see the requests information.
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```
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http://localhost:9874/
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```
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2018-06-07 17:10:52 -04:00
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If you need more datanodes you can scale up:
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```
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docker-compose up --scale datanode=3 -d
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```
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## Running Ozone using a real cluster
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2018-06-07 17:10:52 -04:00
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### Configuration
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2018-06-07 17:10:52 -04:00
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First initialize Hadoop cluster configuration files like hadoop-env.sh,
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core-site.xml, hdfs-site.xml and any other configuration files that are
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needed for your cluster.
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2018-06-07 17:10:52 -04:00
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#### Update hdfs-site.xml
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2018-06-07 17:10:52 -04:00
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The container manager part of Ozone runs inside DataNodes as a pluggable module.
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To activate ozone you should define the service plugin implementation class.
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**Important**: It should be added to the **hdfs-site.xml** as the plugin should
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be activated as part of the normal HDFS Datanode bootstrap.
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```
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<property>
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<name>dfs.datanode.plugins</name>
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<value>org.apache.hadoop.ozone.HddsDatanodeService</value>
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</property>
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```
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2018-08-27 05:41:08 -04:00
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#### Create/Generate ozone-site.xml
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Ozone relies on its own configuration file called `ozone-site.xml`.
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The following command will generate a template ozone-site.xml at the specified
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path
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```
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ozone genconf -output <path>
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```
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The following are the most important settings.
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1. _*ozone.enabled*_ This is the most important setting for ozone.
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Currently, Ozone is an opt-in subsystem of HDFS. By default, Ozone is
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disabled. Setting this flag to `true` enables ozone in the HDFS cluster.
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Here is an example,
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```
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<property>
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<name>ozone.enabled</name>
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<value>True</value>
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</property>
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```
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1. **ozone.metadata.dirs** Administrators can specify where the
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metadata must reside. Usually you pick your fastest disk (SSD if
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you have them on your nodes). OM, SCM and datanode will write the metadata
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to these disks. This is a required setting, if this is missing Ozone will
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fail to come up. Here is an example,
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```
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<property>
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<name>ozone.metadata.dirs</name>
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<value>/data/disk1/meta</value>
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</property>
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```
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2018-06-07 17:10:52 -04:00
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1. **ozone.scm.names** Ozone is build on top of container framework. Storage
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container manager(SCM) is a distributed block service which is used by ozone
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and other storage services.
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This property allows datanodes to discover where SCM is, so that
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datanodes can send heartbeat to SCM. SCM is designed to be highly available
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and datanodes assume there are multiple instances of SCM which form a highly
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available ring. The HA feature of SCM is a work in progress. So we
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configure ozone.scm.names to be a single machine. Here is an example,
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```
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<property>
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<name>ozone.scm.names</name>
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<value>scm.hadoop.apache.org</value>
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</property>
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```
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2018-06-07 17:10:52 -04:00
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1. **ozone.scm.datanode.id** Each datanode that speaks to SCM generates an ID
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just like HDFS. This is a mandatory setting. Please note:
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This path will be created by datanodes if it doesn't exist already. Here is an
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example,
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```
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<property>
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<name>ozone.scm.datanode.id</name>
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<value>/data/disk1/scm/meta/node/datanode.id</value>
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</property>
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```
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2018-06-07 17:10:52 -04:00
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1. **ozone.scm.block.client.address** Storage Container Manager(SCM) offers a
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set of services that can be used to build a distributed storage system. One
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of the services offered is the block services. OM and HDFS would use this
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service. This property describes where OM can discover SCM's block service
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endpoint. There is corresponding ports etc, but assuming that we are using
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default ports, the server address is the only required field. Here is an
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example,
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```
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<property>
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<name>ozone.scm.block.client.address</name>
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<value>scm.hadoop.apache.org</value>
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</property>
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```
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2018-07-06 15:09:05 -04:00
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1. **ozone.om.address** OM server address. This is used by OzoneClient and
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Ozone File System.
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```
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<property>
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<name>ozone.om.address</name>
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<value>om.hadoop.apache.org</value>
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</property>
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```
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2018-06-07 17:10:52 -04:00
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#### Ozone Settings Summary
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| Setting | Value | Comment |
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|--------------------------------|------------------------------|------------------------------------------------------------------|
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| ozone.enabled | True | This enables SCM and containers in HDFS cluster. |
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| ozone.metadata.dirs | file path | The metadata will be stored here. |
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| ozone.scm.names | SCM server name | Hostname:port or or IP:port address of SCM. |
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| ozone.scm.block.client.address | SCM server name and port | Used by services like OM |
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| ozone.scm.client.address | SCM server name and port | Used by client side |
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| ozone.scm.datanode.address | SCM server name and port | Used by datanode to talk to SCM |
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| ozone.om.address | OM server name | Used by Ozone handler and Ozone file system. |
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#### Sample ozone-site.xml
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```
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<?xml version="1.0" encoding="UTF-8"?>
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<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
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<configuration>
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<property>
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<name>ozone.enabled</name>
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<value>True</value>
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</property>
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<property>
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<name>ozone.metadata.dirs</name>
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<value>/data/disk1/ozone/meta</value>
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</property>
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<property>
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<name>ozone.scm.names</name>
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<value>127.0.0.1</value>
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</property>
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<property>
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<name>ozone.scm.client.address</name>
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<value>127.0.0.1:9860</value>
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</property>
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<property>
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<name>ozone.scm.block.client.address</name>
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<value>127.0.0.1:9863</value>
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</property>
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<property>
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<name>ozone.scm.datanode.address</name>
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<value>127.0.0.1:9861</value>
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</property>
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<property>
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<name>ozone.om.address</name>
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<value>127.0.0.1:9874</value>
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</property>
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</configuration>
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```
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2018-06-07 17:10:52 -04:00
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2017-06-20 00:29:18 -04:00
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### Starting Ozone
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Ozone is designed to run concurrently with HDFS. The simplest way to [start
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HDFS](../hadoop-common/ClusterSetup.html) is to run `start-dfs.sh` from the
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`$HADOOP/sbin/start-dfs.sh`. Once HDFS
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|
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|
is running, please verify it is fully functional by running some commands like
|
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|
|
|
|
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|
- *./hdfs dfs -mkdir /usr*
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|
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- *./hdfs dfs -ls /*
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Once you are sure that HDFS is running, start Ozone. To start ozone, you
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need to start SCM and OM.
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The first time you bring up Ozone, SCM must be initialized.
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|
|
|
```
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ozone scm -init
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|
```
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Start SCM.
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|
```
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ozone --daemon start scm
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|
```
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Once SCM gets started, OM must be initialized.
|
|
|
|
```
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ozone om -createObjectStore
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|
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|
```
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|
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|
|
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Start OM.
|
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|
|
```
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|
|
|
ozone --daemon start om
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|
|
|
```
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|
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|
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|
|
|
If you would like to start HDFS and Ozone together, you can do that by running
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|
|
|
a single command.
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|
|
|
```
|
|
|
|
$HADOOP/sbin/start-ozone.sh
|
|
|
|
```
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|
|
|
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|
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|
This command will start HDFS and then start the ozone components.
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|
|
|
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|
|
|
Once you have ozone running you can use these ozone [shell](./OzoneCommandShell.html)
|
|
|
|
commands to start creating a volume, bucket and keys.
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|
|
|
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|
|
|
## Diagnosing issues
|
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|
|
|
|
|
|
|
Ozone tries not to pollute the existing HDFS streams of configuration and
|
|
|
|
logging. So ozone logs are by default configured to be written to a file
|
|
|
|
called `ozone.log`. This is controlled by the settings in `log4j.properties`
|
|
|
|
file in the hadoop configuration directory.
|
|
|
|
|
|
|
|
Here is the log4j properties that are added by ozone.
|
|
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
#
|
|
|
|
# Add a logger for ozone that is separate from the Datanode.
|
|
|
|
#
|
|
|
|
#log4j.debug=true
|
|
|
|
log4j.logger.org.apache.hadoop.ozone=DEBUG,OZONE,FILE
|
|
|
|
|
|
|
|
# Do not log into datanode logs. Remove this line to have single log.
|
|
|
|
log4j.additivity.org.apache.hadoop.ozone=false
|
|
|
|
|
|
|
|
# For development purposes, log both to console and log file.
|
|
|
|
log4j.appender.OZONE=org.apache.log4j.ConsoleAppender
|
|
|
|
log4j.appender.OZONE.Threshold=info
|
|
|
|
log4j.appender.OZONE.layout=org.apache.log4j.PatternLayout
|
|
|
|
log4j.appender.OZONE.layout.ConversionPattern=%d{ISO8601} [%t] %-5p \
|
|
|
|
%X{component} %X{function} %X{resource} %X{user} %X{request} - %m%n
|
|
|
|
|
|
|
|
# Real ozone logger that writes to ozone.log
|
|
|
|
log4j.appender.FILE=org.apache.log4j.DailyRollingFileAppender
|
|
|
|
log4j.appender.FILE.File=${hadoop.log.dir}/ozone.log
|
|
|
|
log4j.appender.FILE.Threshold=debug
|
|
|
|
log4j.appender.FILE.layout=org.apache.log4j.PatternLayout
|
|
|
|
log4j.appender.FILE.layout.ConversionPattern=%d{ISO8601} [%t] %-5p \
|
|
|
|
(%F:%L) %X{function} %X{resource} %X{user} %X{request} - \
|
|
|
|
%m%n
|
|
|
|
```
|
|
|
|
|
|
|
|
If you would like to have a single datanode log instead of ozone stuff
|
|
|
|
getting written to ozone.log, please remove this line or set this to true.
|
2018-06-07 17:10:52 -04:00
|
|
|
```
|
|
|
|
log4j.additivity.org.apache.hadoop.ozone=false
|
|
|
|
```
|
2017-06-20 00:29:18 -04:00
|
|
|
|
2018-06-07 17:10:52 -04:00
|
|
|
On the SCM/OM side, you will be able to see
|
2018-07-06 15:09:05 -04:00
|
|
|
1. `hadoop-hdfs-om-hostname.log`
|
2018-06-07 17:10:52 -04:00
|
|
|
1. `hadoop-hdfs-scm-hostname.log`
|
2017-06-20 00:29:18 -04:00
|
|
|
|
2018-06-07 17:10:52 -04:00
|
|
|
## Reporting Bugs
|
|
|
|
Please file any issues you see under [Apache HDDS Project Jira](https://issues.apache.org/jira/projects/HDDS/issues/).
|
2018-04-12 11:51:44 -04:00
|
|
|
|
2018-06-07 17:10:52 -04:00
|
|
|
## References
|
2018-04-12 11:51:44 -04:00
|
|
|
- [Object store in HDFS: HDFS-7240](https://issues.apache.org/jira/browse/HDFS-7240)
|
|
|
|
- [Ozone File System: HDFS-13074](https://issues.apache.org/jira/browse/HDFS-13074)
|
|
|
|
- [Building HDFS on top of new storage layer (HDDS): HDFS-10419](https://issues.apache.org/jira/browse/HDFS-10419)
|