hadoop

Hadoop Cluster with security

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29,989 downloads

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Version information

released May 4th 2021

This version is compatible with:

Puppet Enterprise 2023.8.x, 2023.7.x, 2023.6.x, 2023.5.x, 2023.4.x, 2023.3.x, 2023.2.x, 2023.1.x, 2023.0.x, 2021.7.x, 2021.6.x, 2021.5.x, 2021.4.x, 2021.3.x, 2021.2.x, 2021.1.x, 2021.0.x, 2019.8.x, 2019.7.x, 2019.5.x, 2019.4.x, 2019.3.x, 2019.2.x, 2019.1.x, 2019.0.x, 2018.1.x, 2017.3.x, 2017.2.x, 2017.1.x, 2016.5.x, 2016.4.x
Puppet >= 3.4.0
, , Fedora, , ,

Start using this module

Installation method

Add this module to your Puppetfile:

mod 'cesnet-hadoop', '3.2.0'

Learn more about managing modules with a Puppetfile

Add this module to your Bolt project:

bolt module add cesnet-hadoop

Learn more about using this module with an existing project

Manually install this module globally with Puppet module tool:

puppet module install cesnet-hadoop --version 3.2.0

Tags: hadoop, hdfs, yarn, nfs, mapreduce, webhdfs

Documentation

cesnet/hadoop — version 3.2.0 May 4th 2021

##Hadoop

####Table of Contents

Module Description - What the module does and why it is useful
Setup - The basics of getting started with hadoop
Usage - Configuration options and additional functionality
Reference - An under-the-hood peek at what the module is doing and how
Limitations - OS compatibility, etc.
Development - Guide for contributing to the module

##Module Description

Management of Hadoop Cluster with security based on Kerberos and with High Availability. All services can be separated across all nodes or collocated at single node as needed. Optionally other features can be enabled:

Security based on Kerberos
HTTPS
High availability for HDFS Name Node and YARN Resource Manager (requires zookeeper)
YARN Resource Manager state-store

Puppet >= 3.x is required.

Supported are:

Debian 7/wheezy: Cloudera distribution (tested with CDH 5.3/5.4/5.5, Hadoop 2.5.0/2.6.0)
Fedora: native packages (tested with Hadoop 2.4.1)
Ubuntu 14/trusty: Cloudera distribution (tested with CDH 5.3.1, Hadoop 2.5.0)
RHEL 6 and clones: Cloudera distribution (tested with CDH 5.4.1, Hadoop 2.6.0)

There are some limitations how to use this module. You should read the documentation, especially the Setup Requirements section.

##Setup

###What cesnet-hadoop module affects

Packages: installs Hadoop packages (common packages, subsets for requested services, or the client)
Files modified:
*/etc/hadoop/* (or /etc/hadoop/conf/**)
*/etc/sysconfig/hadoop* (or /etc/default/hadoop**)
*/etc/cron.d/hadoop-** (only when explicit key refresh or restarts are requested)
/usr/local/sbin/yellowmanager (not needed, only when administrator manager script is requested by features)
/etc/init.d/hadoop-hdfs-nfs3 (if exists, for version=3)
Alternatives:
alternatives are used for /etc/hadoop/conf
this module switches to the new alternative by default, so the original configuration can be kept intact
Services:
only requested Hadoop services are setup and started
HDFS: namenode, journalnode, datanode, zkfc, nfs, httpfs
YARN: resourcemanager, nodemanager
MAPRED: historyserver
Data Files: Hadoop is using metadata and data in */var/lib/hadoop-* (or /var/lib/hadoop*/cache*), for most of it the custom location can be setup (and it is recommended to use different hard drives), see http://wiki.apache.org/hadoop/DiskSetup.
Helper Files:
*/var/lib/hadoop-hdfs/.puppet-hdfs-**
Secret Files (keytabs, certificates): some files are copied to home directories of service users: ~hdfs/, ~yarn/, ~mapred/, ~httpfs/

It is enabled also HDFS blocks metadata, which is required for Impala addon. You can disable it by setting dfs.datanode.hdfs-blocks-metadata.enabled to false in properties parameter.

###Setup Requirements

There are several known or intended limitations in this module.

Be aware of:

Hadoop repositories
neither Cloudera nor Hortonworks repositories are configured in this module (for Cloudera you can find list and key files here: http://archive.cloudera.com/cdh5/debian/wheezy/amd64/cdh/, Fedora has Hadoop as part of distribution, ...)
java is not installed by this module (openjdk-7-jre-headless is OK for Debian 7/wheezy)
for security the package providing kinit is also needed (Debian: krb5-util or heimdal-clients, RedHat/Fedora: krb5-workstation)
One-node Hadoop cluster (may be collocated on one machine): Hadoop replicates by default all data to at least to 3 data nodes. For one-node Hadoop cluster use property dfs.replication=1 in properties parameter
No inter-node dependencies: working HDFS (namenode+some data nodes) is required before history server launch or for state-store resourcemanager feature; some workarounds exists:
helper parameter hdfs_deployed: when false, services dependent on HDFS are not launched (default: true)
repeat setup on historyserver and resourcemanager machines is needed

Note: Hadoop cluster collocated on one-machine is handled OK
Secure mode: keytabs must be prepared in /etc/security/keytabs/ (see realm parameter)
Fedora: 1) see RedHat Bug #1163892, you may use repository at http://copr-fe.cloud.fedoraproject.org/coprs/valtri/hadoop/ 2) you need to enable ticket refresh and RM restarts (see features module parameter)
HTTPS:
prepare CA certificate keystore and machine certificate keystore in /etc/security/cacerts and /etc/security/server.keystore (location can be modified by https_cacerts and https_keystore parameters), see Enable HTTPS section
prepare /etc/security/http-auth-signature-secret file (with any content)

Note: some files are copied into ~hdfs/, ~yarn/, and ~mapred/ directories

###Beginning with hadoop

By default the main hadoop class do nothing but configuration of the hadoop puppet module. Main actions are performed by the included service and client classes.

Let's start with brief examples. Before beginning you should read the Setup Requirements section above.

Example: The simplest setup is one-node Hadoop cluster without security, with everything on single machine:

class{"hadoop":
  hdfs_hostname => $::fqdn,
  yarn_hostname => $::fqdn,
  slaves => [ $::fqdn ],
  frontends => [ $::fqdn ],
  properties => {
    'dfs.replication' => 1,
  }
}

node default {
  # HDFS
  include hadoop::namenode
  # YARN
  include hadoop::resourcemanager
  # MAPRED
  include hadoop::historyserver
  # slave (HDFS)
  include hadoop::datanode
  # slave (YARN)
  include hadoop::nodemanager
  # client
  include hadoop::frontend
}

For full-fledged Hadoop cluster it is recommended (services can be collocated):

one HDFS namenode (or two for high availability, see below)
one YARN resourcemanager (or two for high availability, see below)
N slaves with HDFS datanode and YARN nodemanager

Modify $::fqdn and node(s) section as needed. You can also remove the dfs.replication property with more data nodes.

Multiple HDFS namespaces are not supported now (ask or send patches, if you need it :-)).

##Usage

###Enable Security

Security in Hadoop is based on Kerberos. Keytab files needs to be prepared on the proper places before enabling the security.

Following parameters are used for security (see also Module Parameters):

realm ('') Enable security and Kerberos realm to use. Empty string disables security. To enable security, there are required:
- installed Kerberos client (Debian: krb5-user/heimdal-clients; RedHat: krb5-workstation)
- configured Kerberos client (/etc/krb5.conf, /etc/krb5.keytab)
- /etc/security/keytab/dn.service.keytab (on data nodes)
- /etc/security/keytab/jhs.service.keytab (on job history node)
- /etc/security/keytab/nm.service.keytab (on node manager nodes)
- /etc/security/keytab/nn.service.keytab (on name nodes)
- /etc/security/keytab/rm.service.keytab (on resource manager node)
- /etc/security/keytab/httpfs-http.service.keytab (on HTTPFS proxy node)
- /etc/security/keytab/nfs.service.keytab (on NFS gateway node)
authorization (empty hash by default)

We recommend to enable HTTPS when security is enabled. See Enable HTTPS.

Example: One-node Hadoop cluster with security (add also the node section from the single-node setup above):

class{"hadoop":
  hdfs_hostname => $::fqdn,
  yarn_hostname => $::fqdn,
  slaves => [ $::fqdn ],
  frontends => [ $::fqdn ],
  realm => 'MY.REALM',
  properties => {
    'dfs.replication' => 1,
  },
  authorization => {
    'rules' => 'limit',
    # more paranoid permissions only for users in "users" group
    'security.client.protocol.acl' => 'hue,nfs,root hadoop,hbase,hive,impala,oozie,spark,users',
    'security.service.authorization.default.acl' => ' hadoop,users',
  },
  # https recommended (and other extensions may require it)
  https => true,
  https_cacerts_password => '',
  https_keystore_keypassword => 'changeit',
  https_keystore_password => 'changeit',
}

Modify $::fqdn and add node sections as needed for multi-node cluster.

Long running applications

For long-running applications as Spark Streaming jobs you may need to workaround user's delegation tokens a maximum lifetime of 7 days by these properties in properties parameter:

'yarn.resourcemanager.proxy-user-privileges.enabled' => true,
'hadoop.proxyuser.yarn.hosts' => RESOURCE MANAGER HOSTS,
'hadoop.proxyuser.yarn.groups' => 'hadoop',

Auth to local mapping

You can consider changing or even removing property hadoop.security.auth_to_local:

properties => {
  'hadoop.security.auth_to_local' => '::undef',
}

Default value is valid for principal names according to Hadoop documentation at http://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-common/SecureMode.html.

In the default value in cesnet-hadoop module are also mappings for the following Hadoop addons:

HBase: hbase/<HOST>@<REALM> -> hbase
Hive: hive/<HOST>@<REALM> -> hive
Hue: hue/<HOST>@<REALM> -> hue
Impala: impala/<HOST>@<REALM> -> impala
Oozie: oozie/<HOST>@<REALM> -> oozie
Solr: solr/<HOST>@<REALM> -> solr
Spark: spark/<HOST>@<REALM> -> spark
Sqoop: sqoop/<HOST>@<REALM> -> sqoop
Zookeeper: zookeeper/<HOST>@<REALM> -> zookeeper
... and helper principals:
HTTFS proxy: httpfs/<HOST>@<REALM> -> httpfs
HTTP SPNEGO: HTTP/<HOST>@<REALM> -> HTTP
Tomcat: tomcat/<HOST>@<REALM> -> tomcat

hadoop.security.auth_to_local is needed and can't be removed if:

Kerberos principals and local user names are different
they differ in the official documentation: nn/_HOST vs hdfs, ...
they are the same in Cloudera documentation: hdfs/_HOST vs hdfs, ...
when cross-realm authentication is needed

Cross-realm

Cross-realm environment is problematic when using HDFS HttpFS. Login to HDFS ignores settings from core-site.xml, most notably Kerberos rules mapping.

Workaround is possible:

ln -s /etc/hadoop/conf/core-site.xml /usr/lib/bigtop-tomcat/lib/

This is already done by site_hadoop CESNET puppet module.

###Enable HTTPS

Hadoop is able to use SPNEGO protocol (="Kerberos tickets through HTTPS"). This requires proper configuration of the browser on the client side and valid Kerberos ticket.

HTTPS support requires:

enabled security (non-empty realm)
/etc/security/cacerts file (https_cacerts parameter) - kept in the place, only permission changed if needed
/etc/security/server.keystore file (https_keystore parameter) - copied for each daemon user
/etc/security/http-auth-signature-secret file (any data, string or blob) - copied for each daemon user
/etc/security/keytab/http.service.keytab - copied for each daemon user

Preparing the CA certificates store (/etc/security/cacerts):

# for each CA certificate in the chain
keytool -importcert -keystore cacerts -storepass changeit -trustcacerts -alias some-alias -file some-file.pem
# check
keytool -list -keystore cacerts -storepass changeit
# move to the right default location
mv cacerts /etc/security/

Preparing the certificates keystore (/etc/security/server.keystore):

# example values for certificate alias and passphrase
alias='hadoop-dcv'
read pass

# X509 -> pkcs12
# (enter some passphrase)
openssl pkcs12 -export -in /etc/grid-security/hostcert.pem
               -inkey /etc/grid-security/hostkey.pem \
               -out server.p12 -name ${alias} -certfile tcs-ca-bundle.pem

# pkcs12 -> java
# (the alias must be the same as the name above)
# (some addons may need the same store passphrase and key passphrase)
keytool -importkeystore \
        -deststorepass ${pass} -destkeypass ${pass} -destkeystore server.keystore \
        -srckeystore server.p12 -srcstoretype PKCS12 -srcstorepass some-passphrase \
        -alias ${alias} -deststoretype pkcs12

# check
keytool -list -keystore server.keystore -storepass ${pass}

# move to the right default location
chmod 0600 server.keystore
mv server.keystore /etc/security/

Preparing the signature secret file (/etc/security/http-auth-signature-secret):

dd if=/dev/random bs=128 count=1 > http-auth-signature-secret
chmod 0600 http-auth-signature-secret
mv http-auth-signature-secret /etc/security/

The following hadoop class parameters are used for HTTPS (see also Module Parameters):

realm (required for HTTPS) Enable security and Kerberos realm to use. See Security.
https (undef) Enable support for https.
https_cacerts (/etc/security/cacerts) CA certificates file.
https_cacerts_password ('') CA certificates keystore password.
https_keystore (/etc/security/server.keystore) Certificates keystore file.
https_keystore_password ('changeit') Certificates keystore file password.
https_keystore_keypassword (undef) Certificates keystore key password. If not specified, https_keystore_password is used.

Consider also checking POSIX ACL support in the system and enabling acl in Hadoop module. It's useful for more pedantic rights on ssl-*.xml files, which needs to be read by Hadoop additions (like HBase).

###Multihome Support

Multihome support doesn't work out-of-the box in Hadoop 2.6.x (2015-01). Properties and bind hacks to multihome support can be enabled by multihome => true in features. You will also need to add secondary IPs of datanodes to datanode_hostnames (or slaves, which sets datanode_hostnames and nodemanager_hostnames):

class{"hadoop":
  hdfs_hostname => $::fqdn,
  yarn_hostname => $::fqdn,
  # for multi-home
  datanode_hostnames => [ $::fqdn, '10.0.0.2', '192.169.0.2' ],
  slaves => [ $::fqdn ],
  frontends => [ $::fqdn ],
  realm => '',
  properties => {
    'dfs.replication' => 1,
  }
  # for multi-home
  features => {
    multihome => true,
  }
}

Multi-home feature enables following properties:

hadoop.security.token.service.use_ip => false
yarn.resourcemanager.bind-host => '0.0.0.0'
dfs.namenode.http-bind-host => '0.0.0.0'
dfs.namenode.https-bind-host => '0.0.0.0'
dfs.namenode.rpc-bind-host => '0.0.0.0'
dfs.namenode.servicerpc-bind-host => '0.0.0.0'

Also Oozie addon may have problems accessing MapRed History Server. For example there is needed public access to the port 10020 in network environment with addresses in DNS and private addresses in /etc/hosts. This mapping helps in such case:

iptables -t nat -A PREROUTING -p tcp -m tcp -d $PUBLIC_IP --dport 10020 -j DNAT --to-destination $PRIVATE_BIND_IP:10020

###High Availability

There are needed also these daemons for High Availability:

Secondary Name Node (1) - there will be two Name Node servers
Journal Node (>=3) - requires HTTPS, when Kerberos security is enabled
Zookeeper/Failover Controller (2) - on each Name Node
Zookeeper (>=3)

There is also recommended for WebHDFS and High Availability:

HTTPFS proxy (1) - required for Apache Hue, requires also HTTPS

When specifying zookeeper (zookeeper_hostnames parameter), automatic failover is enabled. You can override it by dfs.ha.automatic-failover.enabled and yarn.resourcemanager.ha.automatic-failover.enabled properties in properties parameter.

Fresh installation

Setup High Availability requires precise order of all steps. For example all zookeeper servers must be running before formatting zkfc (class hadoop::zkfc::service), or all journal nodes must running during initial formatting (class hadoop::namenode::config) or when converting existing cluster to cluster with high availability.

There are helper parameters to separate overall cluster setup to more stages:

zookeeper_deployed=false, hdfs_deployed=false: zookeeper quorum and journal nodes quorum
zookeeper_deployed=true, hdfs_deployed=false: HDFS format and bootstrap (primary and secondary NN), setup and launch ZKFC and NN daemons
zookeeper_deployed=true, hdfs_deployed=true: enable History Server and RM state-store feature, if enabled

These parameters are not required, the setup should converge when setup is repeated. They may help with debugging problems though, because less things will fail if the setup is separated to several stages over the whole cluster.

Example:

$master1_hostname = 'hadoop-master1.example.com'
$master2_hostname = 'hadoop-master2.example.com'
$slaves           = ['hadoop1.example.com', 'hadoop2.example.com', ...]
$frontends        = ['hadoop.example.com']
$httpfs_hostnames = [$master1_hostname]
$quorum_hostnames = [$master1_hostname, $master2_hostname, 'master3.example.com']
$cluster_name     = 'example'

$hdfs_deployed      = true
$zookeeper_deployed = true

class{'hadoop':
  hdfs_hostname           => $master1_hostname,
  hdfs_hostname2          => $master2_hostname,
  yarn_hostname           => $master1_hostname,
  yarn_hostname2          => $master2_hostname,
  historyserver_hostname  => $master1_hostname,
  httpfs_hostnames        => $httpfs_hostnames,
  slaves                  => $slaves,
  frontends               => $frontends,
  journalnode_hostnames   => $quorum_hostnames,
  zookeeper_hostnames     => $quorum_hostnames,
  cluster_name            => $cluster_name,
  realm                   => '',

  hdfs_deployed           => $hdfs_deployed,
  zookeeper_deployed      => $zookeeper_deployed,
}

node 'master1.example.com' {
  include hadoop::namenode
  include hadoop::resourcemanager
  include hadoop::historyserver
  include hadoop::httpfs
  include hadoop::zkfc
  include hadoop::journalnode

  class{'zookeeper':
    hostnames => $quorum_hostnames,
    realm     => '',
  }
}

node 'master2.example.com' {
  include hadoop::namenode
  include hadoop::resourcemanager
  include hadoop::zkfc
  include hadoop::journalnode

  class{'zookeeper':
    hostnames => $quorum_hostnames,
    realm     => '',
  }
}

node 'master3.example.com' {
  include hadoop::journalnode

  class{'zookeeper':
    hostnames => $quorum_hostnames,
    realm     => '',
  }
}

node 'frontend.example.com' {
  include hadoop::frontend
}

node /hadoop\d+.example.com/ {
  include hadoop::datanode
  include hadoop::nodemanager
}

Note: Journalnode and Zookeeper are not resource intensive daemons and can be collocated with other daemons. In this example the content of master3.example.com node can be moved to some slave node or the frontend (and $quorum_hostnames updated).

Converting non-HA cluster

You can use the example above. But you will need to let skip bootstrap on secondary Name Node before setup:

touch /var/lib/hadoop-hdfs/.puppet-hdfs-bootstrapped

And activate HA on the primary Name Node after Journal Nodes Quorum setup (under hdfs user):

# when Kerberos is enabled:
#export KRB5CCNAME=FILE:/tmp/krb5cc_hdfs_admin
#kinit -k -t /etc/security/keytab/nn.service.keytab nn/`hostname -f`
#
hdfs namenode -initializeSharedEdits

You must rsync namenode metadata from the primary Name Node to the secondary Name Node after setup, then start the secondary Name Node server (this replaces the command hdfs namenode -bootstrapStandby, which seems to have issues).

HA Quorum Security

It is recommended to secure zookeeper quorum in secured Hadoop cluster.

See hadoop class parameters:

ha_credentials
ha_digest

Hadoop addons

Some Hadoop addons may require extra actions:

Hive schema needs to be updated when changing non-HA cluster to HA (because defaultFS has been changed), see Hive#defaultfs

HDFS NFS Gateway

HDFS NFS Gateway provides limited support for direct access to HDFS. Beware, the NFS may still have issues (problems with <= 3 nodes, problems with HDFS HA and cluster name), tested on Hadoop 2.6.0/Cloudera 5.4.7.

The class hadoop::nfs will setup the daemon and mount locally HDFS to /hdfs. The resource hadoop::nfs::mount is used to perform the mounting. If mounting remotely, don't forget to add authorization access to the remote HDFS NFS server.

HDFS NFS Gateway doesn't support any authentication, so we recommend to filter clients at least by hostnames/IPs. By default only local machine is allowed to mount the NFS (nfs_exports parameter).

Useful properties:

nfs.superuser: super-user name (not configured by default)
nfs.metrics.percentiles.intervals: 100 will enable latency histogram in Nfs3Metrics
nfs.port.monitoring.disabled: true to allow mounting from unprivileged users

Useful environments:

HADOOP_NFS3_OPTS: JVM settings (heap, GC, ...)

Example 1: local HDFS NFS Gateway

class{"hadoop":
   ...
   #nfs_dumpdir => '/mnt/scratch/.hdfs-nfs',
   nfs_hostnames => ['hadoop-frontend.example.com'],
}

node 'hadoop-frontend.example.com' {
  include hadoop::nfs
}

Example 2: remote HDFS NFS Gateway

class{"hadoop":
   ...
   nfs_hostnames => ['hadoop-frontend.example.com'],
   #nfs_dumpdir => '/mnt/scratch/.hdfs-nfs',
   nfs_exports => "${::fqdn} rw; external-host.example.com rw",
}

node 'hadoop-frontend.example.com' {
  include hadoop::nfs
}

node 'external-host.example.com' {
  hadoop::nfs::mount { '/mnt/hadoop':
    nfs_hostname => 'hadoop-frontend.example.com',
  }
}

Security

The keytab file /etc/security/keytab/nfs.service.keytab is required. It must contain principal for HDFS NFS Gateway.

The principal must correspond to the valid system user (auth_to_local rules provides the mapping). This system user will be used also as Hadoop proxy user. The default value is 'nfs'.

Principals needed:

host/<HOSTNAME>@<REALM>
nfs/<HOSTNAME>@<REALM>

Authorization

root user must be authorized for client access to able to mount. In secured cluster, nfs user needs to be authorized too. By default this is not needed, authorization is '*'. See authorization parameter.

Example of changing HADOOP default ACL to more strict settings with NFS:

 authorization => {
   'rules' => 'limit',
   'security.client.protocol.acl' => 'hue,nfs,root hadoop,hbase,hive,impala,oozie,spark,users',
   'security.service.authorization.default.acl' => ' hadoop,users',
 }

Quick check

nfs_hostname=`hostname -f`

rpcinfo -p ${nfs_hostname}
showmount -e ${nfs_hostname}

HTTPFS Proxy

HTTPFS Proxy is something like HTTP gateway for HDFS. Unless HDFS (or WebHDFS in Namenodes), all communication must go through the proxy, so it may be not good to use one single HTTPFS globally. Instead it could be used as local proxy everywhere, where it is needed. It is required for Apache Hue in case of HDFS with High Availability.

Security

The keytab file /etc/security/keytabs/httpfs-http.service.keytab is required. Following principals must be available (replace HOSTNAME and REALM for real values):

httpfs/HOSTNAME@REALM
HTTP/HOSTNAME@REALM

Authorization

Properties hadoop.proxyuser.httpfs.hosts and hadoop.proxyuser.httpfs.groups are set, parameter httpfs_hostnames is used for the list of the hostnames (it may be overridden by using the hadoop.proxyuser.httpfs.hosts property directly).

Usage

Example: list status (without security)

httpfs_hostname=...
user=...
HDFS_FILE=/user/...
curl -i "https://${httpfs_hostname}:14000/webhdfs/v1${HDFS_FILE}?op=liststatus&user.name=${user}"

Example: list status (with security)

httpfs_hostname=...
HDFS_FILE=/user/...
curl --negotiate -u : -i "https://${httpfs_hostname}:14000/webhdfs/v1${HDFS_FILE}?op=liststatus"

Example: creating the file (with security):

httpfs_hostname=...
LOCAL_FILE=...
HDFS_FILE=/user/...
curl --negotiate -u : -i -T ${LOCAL_FILE} -H 'Content-Type: application/octet-stream' "https://${httpfs_hostname}:14000/webhdfs/v1${HDFS_FILE}?op=create&data=true"

Upgrade

The best way is to refresh configurations from the new original (=remove the old) and relaunch puppet on top of it.

For example:

alternative='cluster'
d='hadoop'
mv /etc/{d}$/conf.${alternative} /etc/${d}/conf.cdhXXX
update-alternatives --auto ${d}-conf

# upgrade
...

puppet agent --test
#or: puppet apply ...

##Reference

###Classes

hadoop: Main configuration class
hadoop::common::hdfs::config
hadoop::common::hdfs::daemon
hadoop::common::mapred::config
hadoop::common::mapred::daemon
hadoop::common::yarn::config
hadoop::common::yarn::daemon
hadoop::common::config
hadoop::common::install
hadoop::common::postinstall
hadoop::common::slaves
hadoop::config
hadoop::create_dirs
hadoop::install
hadoop::params
hadoop::service
hadoop::datanode: HDFS Data Node
hadoop::datanode::config
hadoop::datanode::install
hadoop::datanode::service
hadoop::frontend: Hadoop client and examples
hadoop::frontend::config
hadoop::frontend::install
hadoop::frontend::service (empty)
hadoop::historyserver: MapReduce Job History Server
hadoop::historyserver::config
hadoop::historyserver::install
hadoop::historyserver::service
hadoop::httpfs: Hadoop HTTPFS proxy
hadoop::httpfs::config
hadoop::httpfs::install
hadoop::httpfs::service
hadoop::journalnode: HDFS Journal Node used for Quorum Journal Manager
hadoop::journalnode::config
hadoop::journalnode::install
hadoop::journalnode::service
hadoop::namenode: HDFS Name Node
hadoop::namenode::bootstrap
hadoop::namenode::config
hadoop::namenode::format
hadoop::namenode::install
hadoop::namenode::service
hadoop::nfs: HDFS NFS Gateway
hadoop::nfs::config
hadoop::nfs::install
hadoop::nfs::service
hadoop::nfs::user: Create system user for NFS Gateway (if needed)
hadoop::nodemanager: YARN Node Manager
hadoop::nodemanager::config
hadoop::nodemanager::install
hadoop::nodemanager::service
hadoop::resourcemanager: YARN Resource Manager
hadoop::resourcemanager::config
hadoop::resourcemanager::install
hadoop::resourcemanager::service
hadoop::zkfc: HDFS Zookeeper/Failover Controller
hadoop::zkfc::config
hadoop::zkfc::install
hadoop::zkfc::service

###Facts

uid_min: minimal UID (UID_MIN as read from /etc/login.defs)

###Resource Types

hadoop::kinit: Initialize credentials
hadoop::kdestroy: Destroy credentials
hadoop::mkdir: Creates a directory on HDFS
hadoop::nfs::mount: Mount NFS provided by the HDFS NFS gateway
hadoop::user: Create user account

`hadoop` class

Parameters

#####acl

Determines, if setfacl command is available and /etc/hadoop is on filesystem supporting POSIX ACL. Default: undef.

It is used only when https is enabled to set less open privileges on ssl-server.xml.

#####alternatives

Switches the alternatives used for the configuration. Default: 'cluster' (Debian) or undef.

It can be used only when supported (for example with Cloudera distribution).

#####alternatives_httpfs

Switches the alternatives used for the configuration of HTTPFS proxy. Default: 'cluster' (Debian) or undef.

It can be used only when supported (for example with Cloudera distribution).

#####authorization

Hadoop service level authorization ACLs. Default: {}.

Authorizations are enabled and predefined rule set and/or particular properties can be specified.

Each ACL is in the form of: (wildcard "*" is allowed)

"USER1,USER2,... GROUP1,GROUP2"
"USER1,USER2,..."
" GROUP1,GROUP2,..." (notice the space character)

These properties are available:

rules (limit, permit, false): predefined ACL sets from cesnet-hadoop puppet module
security.service.authorization.default.acl: default ACL
security.client.datanode.protocol.acl
security.client.protocol.acl
security.datanode.protocol.acl
security.inter.datanode.protocol.acl
security.namenode.protocol.acl
security.admin.operations.protocol.acl
security.refresh.usertogroups.mappings.protocol.acl
security.refresh.policy.protocol.acl
security.ha.service.protocol.acl
security.zkfc.protocol.acl
security.qjournal.service.protocol.acl
security.mrhs.client.protocol.acl
security.resourcetracker.protocol.acl
security.resourcemanager-administration.protocol.acl
security.applicationclient.protocol.acl
security.applicationmaster.protocol.acl
security.containermanagement.protocol.acl
security.resourcelocalizer.protocol.acl
security.job.task.protocol.acl
security.job.client.protocol.acl
... and everything with .blocked suffix

ACL set: limit: policy tuned with minimal set of permissions:

security.datanode.protocol.acl => ' hadoop'
security.inter.datanode.protocol.acl => ' hadoop'
security.namenode.protocol.acl => 'hdfs,nn,sn'
security.admin.operations.protocol.acl => ' hadoop'
security.refresh.usertogroups.mappings.protocol.acl => ' hadoop'
security.refresh.policy.protocol.acl => ' hadoop'
security.ha.service.protocol.acl => ' hadoop'
security.zkfc.protocol.acl => ' hadoop'
security.qjournal.service.protocol.acl => ' hadoop'
security.resourcetracker.protocol.acl => 'yarn,nm,rm'
security.resourcemanager-administration.protocol.acl => ' hadoop',
security.applicationmaster.protocol.acl => '*',
security.containermanagement.protocol.acl => '*',
security.resourcelocalizer.protocol.acl => '*',
security.job.task.protocol.acl => '*',

ACL set: permit defines this policy (it's default):

security.service.authorization.default.acl => '*'

You can use use limit rules. For more strict settings you can define security.service.authorization.default.acl to something different from '*':

authorization => {
  'rules' => 'limit',
  'security.client.protocol.acl' => 'hue,nfs,root hadoop,hbase,hive,impala,oozie,spark,users',
  'security.service.authorization.default.acl' => ' hadoop,users',
}

Note: Beware ...acl.blocked are not used if the ....acl counterpart is defined.

Note 2: If not using wildcards in permit rules, you should enable access also for Hadoop additions (as seen in the example).

Note 3: See also HDFS NFS Gateway: Authorization.

#####cluster_name

Name of the cluster. Default: 'cluster'.

Used during initial formatting of HDFS. For non-HA configurations it may be undef.

#####compress_enable

Enable compression of intermediate files by snappy codec. Default: true.

This will set following properties:

mapred.compress.map.output: true
mapred.map.output.compression.codec: "org.apache.hadoop.io.compress.SnappyCodec"

#####confdir

Hadoop config directory. Default: '/etc/hadoop/conf' or '/etc/hadoop'.

#####confdir_httpfs

Hadoop HDFS httpfs config directory. Default: '/etc/hadoop-httpfs/conf' or '/etc/hadoop-httpfs'.

#####datanode_hostnames

Array of Data Node machines. Default: slaves.

#####defaultFS

HDFS URI parameter. Default: undef.

It is not needed to set this parameter, unless there is used an external storage.

By default (undef value), HDFS cluster setup by this module is used:

hdfs://<cluster_name> (for HA HDFS)
hdfs://<hdfs_hostname>:8020 (for non-HA HDFS)

If the HDFS cluster (the data part) is setup at all is governed by hdfs_hostname parameter. It is up to hdfs_hostname2 parameter, if it should be also the HA cluster .

Either hdfs_hostname or defaultFS parameter needs to be used.

Other puppet modules can access the HDFS URI using hadoop::_defaultFS variable.

#####descriptions

Descriptions for the properties. Default: see params.pp.

Just for cuteness of config files.

#####environment

Environment to set for all Hadoop daemons. Default: undef.

environment => {'HADOOP_HEAPSIZE' => 4096, 'YARN_HEAPSIZE' => 4096}

#####features

Enable additional features. Default: {}.

Available features:

rmstore: resource manager recovery using state-store (YARN may depends on HDFS)
hdfs: store state on HDFS, this requires HDFS datanodes already running and /rmstore directory created ==> you may want to keep it disabled on initial setup. Requires hdfs_deployed to be true.
zookeeper: store state on zookeepers. Requires zookeeper_hostnames specified. Warning: no authentication is used.
true: select automatically zookeeper or hdfs according to zookeeper_hostnames
restarts: regular resource manager restarts (MIN HOUR MDAY MONTH WDAY); it shall never be restarted, but it may be needed for refreshing Kerberos tickets
krbrefresh: use and refresh Kerberos credential cache (MIN HOUR MDAY MONTH WDAY); beware there is a small race-condition during refresh
yellowmanager: script in /usr/local to start/stop all daemons relevant for given node
multihome: enable properties required for multihome usage. You will need also add secondary IP addresses to datanode_hostnames.
aggregation: enable YARN log aggregation (we recommend, but YARN will depend on HDFS)

We recommend to enable: rmstore, aggregation and probably multihome.

#####frontends

Array of frontend hostnames. Default: slaves.

#####ha_credentials

Zookeeper credentials for HA HDFS. Default: undef.

With enabled high availability of HDFS in secured cluster, it is recommended to secure also zookeeper. The value is in the form USER:PASSWORD.

Set this to something like: hdfs-zkfcs:PASSWORD.

#####ha_digest

Digest version of ha_credentials. Default: undef.

You can generate it this way:

ZK_HOME=/usr/lib/zookeeper
ZK_CP=`ls -1 $ZK_HOME/lib/*.jar $ZK_HOME/*.jar | tr '\n' ':'`
java -cp $ZK_CP org.apache.zookeeper.server.auth.DigestAuthenticationProvider hdfs-zkfcs:PASSWORD

#####hdfs_data_dirs

Directory prefixes to store the data on HDFS datanodes. Default: ["/var/lib/hadoop-hdfs"] or ["/var/lib/hadoop-hdfs/cache"].

They are used for DFS data blocks.

Expected is an array, the format of each item is: [TYPE]SCHEME://PATH

[TYPE] (optional): [DISK], [SSD], [ARCHIVE], [RAM_DISK] (default: [DISK])
SCHEME (optional): file (default: file)
PATH: the directory for the data

Notes:

/${user.name}/dfs/datanode suffix is always added
if there are multiple directories, then data will be stored in all directories, typically on different devices

Examples:

['/data/1', '/data/2']
['[RAM_DISK]/ram', '[DISK]/var/lib/hadoop-hdfs/cache']

#####hdfs_deployed

Perform also actions requiring working HDFS (namenode + enough datanodes). Default: true.

You can set this to false during initial installation and divide setup this way to two separated stages. false will disable following actions:

starting MapReduce History Server
enabling RM HDFS state-store feature (if enabled)
starting NFS server and NFS mounts (if enabled)

Two stage setup is not required, but it is recommended to avoid errors during initial installation.

#####hdfs_hostname

Hadoop Filesystem Name Node machine. Default: undef.

Either hdfs_hostname or defaultFS parameter needs to be used.

#####hdfs_hostname2

Another Hadoop Filesystem Name Node machine for High Availability. Default: undef.

Used for High Availability. This parameter will activate the HDFS HA feature. See http://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-hdfs/HDFSHighAvailabilityWithQJM.html.

If you're converting existing Hadoop cluster without HA to cluster with HA, you need to initialize journalnodes yet:

hdfs namenode -initializeSharedEdits

Zookeepers are required for automatic transitions.

If Hadoop cluster is secured, it is recommended also secure Zookeeper. See ha_credentials and ha_digest parameters.

#####hdfs_journal_dirs

Directory prefixes to store journal logs by journal name nodes, if different from hdfs_name_dirs. Default: undef.

#####hdfs_port_namenode

HDFS namenode port. Default: undef (default according to hadoop::version).

#####hdfs_port_namenode_http

HDFS namenode HTTP port. Default: undef (default according to hadoop::version).

#####hdfs_port_namenode_https

HDFS namenode HTTPS port. Default: undef (default according to hadoop::version).

#####hdfs_name_dirs

Directory prefixes to store the metadata on the namenode. Default: ["/var/lib/hadoop-hdfs"] or ["/var/lib/hadoop-hdfs/cache"].

directory for name table (fsimage)
/${user.name}/dfs/namenode or /${user.name}/dfs/name suffix is always added
If there is multiple directories, then the name table is replicated in all of the directories, for redundancy
All directories needs to be available to namenode work properly (==> good on mirrored raid)
Crucial data (==> good to save at different physical locations)

When adding a new directory, you will need to replicate the contents from some of the other ones. Or set dfs.namenode.name.dir.restore to true and create NEW_DIR/hdfs/dfs/namenode with proper owners.

#####hdfs_secondary_dirs

Directory prefixes to store metadata by secondary name nodes, if different from hdfs_name_dirs. Default: undef.

#####historyserver_hostname

History Server machine. Default: yarn_hostname.

#####httpfs_hostnames

List of HTTPFS proxy hostnames. Default: [].

#####hue_hostnames

List of Apache Hue hostnames. Default: [].

Used for proxyuser authorization properties:

httpfs.proxyuser.hue.groups
httpfs.proxyuser.hue.hosts
hadoop.proxyuser.hue.groups
hadoop.proxyuser.hue.hosts

#####https

Enable support for https. Default: undef.

`mkdir` resource

Creates a directory on HDFS. Skips everything, if a helper $touchfile exists. Parent directories are created, if needed.

Example:

hadoop::kinit { 'hdfs-extradir-created': }
->
hadoop::mkdir{'/bigdata':
  owner     => 'hawking',
  group     => 'users',
  mode      => '1770',
  touchfile => 'hdfs-extradir-created',
}
->
hadoop::kdestroy { 'hdfs-extradir-created': }

#####owner

Sets the owner. Default: undef (system default is 'hdfs').

#####group

Sets the group. Default: undef (system default is 'supergroup').

#####mode

Sets the permissions. Default: undef (system default is '0755', if the property fs.permissions.umask-mode has default value of 022).

#####recursive

Changes permissions recursively. Default: false.

#####touchfile

Helper file name. Required.

The name should be the same as used in hadoop::kinit() and hadoop::kdestroy() resources. It skips everything, if the touchfile already exists.

`user` resource

Creates user account. Beware there is no additional logic! hdfs must be enabled only once and on HDFD name node, shell is not needed except the frontend.

Example:

hadoop::kinit { 'hdfs-user-created': }
->
hadoop::user{['hawking']:
  groups    => 'users',
  hdfs      => ($hadoop::hdfs_hostname == $::fqdn),
  shell     => member($hadoop::frontends, $::fqdn),
  realms    => ['EXAMPLE.COM'],
  touchfile => 'hdfs-user-created',
}
->
hadoop::kdestroy { 'hdfs-user-created': }

#####groups

Additional user groups. Default: ['users'].

#####hdfs

Create also user directory on HDFS. Required.

Values:

true
false

#####homedir

User home directory, where to create .k5login file. Default: "/home/${title}".

#####realms

Kerberos realms, if any. Default: [].

Creates the .k5login file, if the realms specified.

#####shell

Enable shell. Required.

Values:

true
false

#####touchfile

Helper file name. Required.

The name should be the same as used in hadoop::kinit() and hadoop::kdestroy() resources. It skips everything, if the touchfile already exists.

#####version

Hadoop version. Default: '3'.

Hadoop version to distinguish differences between Hadoop 2.x.x and Hadoop 3.x.x.

Settings change the HDFS ports (Hadoop 2 -> Hadoop 3):

(HDFS NameNode RPC not changed: 8020)
HDFS NameNode http: 50070 -> 9870
HDFS NameNode https: 50470 -> 9871

Some properties are slightly different.

Also there is workaround in NFS startup script for Hadoop 3.x.

##Limitations

Idea in this module is to do only one thing - setup Hadoop cluster - and not limit generic usage of this module by doing other stuff. You can have your own repository with Hadoop SW, you can select which Kerberos implementation or Java version to use.

On other hand this leads to some limitations as mentioned in Setup Requirements section and usage is more complicated - you may need site-specific puppet module together with this one.

Other limitation is poor support for synchronization across multiple machines. Setup will converge on repeated runs, but it is better to separate setup to two (or more) stages.

###High Availability

zookeeper_deployed=true, hdfs_deployed=false: HDFC zkfc startup on secondary NN fails before primary NN is completely setup, it's started later during another puppet launch.

##Development

Repository: https://github.com/MetaCenterCloudPuppet/cesnet-hadoop
Tests:
basic: see .travis.yml
vagrant: https://github.com/MetaCenterCloudPuppet/hadoop-tests

The MIT License (MIT)

Copyright (c) 2014-2021 CESNET

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

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hadoop

Version information

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Start using this module

Documentation

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`hadoop` class

Parameters

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Dependencies

Modules

Discover

Contribute

Puppet

Premium features

Downloads

Resources

About Forge

Getting Started

hadoop

Version information

This version is compatible with:

Start using this module

Documentation

Long running applications

Auth to local mapping

Cross-realm

Fresh installation

Converting non-HA cluster

HA Quorum Security

Hadoop addons

HDFS NFS Gateway

Security

Authorization

Quick check

HTTPFS Proxy

Security

Authorization

Usage

Upgrade

hadoop class

Parameters

mkdir resource

user resource

Dependencies

`hadoop` class

`mkdir` resource

`user` resource