Anaconda for cluster management provides functionality to easily interact with clusters, including:
- Secure shell (SSH) to cluster nodes
- Executing commands on cluster nodes
- Uploading (put) and downloading (get) files from cluster nodes
- Executing salt module commands: http://docs.saltstack.com/en/latest/ref/modules/all/
For a concise overview of all of the available commands, view the
Anaconda for cluster management Cheat Sheet.
acluster commands shown below, you can optionally specify a
--cluster/-x option to specify a target cluster to operate on. This option
is not required if only one cluster is running.
acluster ssh can be used to SSH into any node within the cluster.
The first (optional) argument is a zero-indexed number that refers to a node,
0 is the head node,
1 is the first compute node, and so on.
Note: This functionality requires SSH. Windows users: Install an SSH client such as PuTTY.
acluster cmd command allows commands to be executed across multiple nodes on the cluster.
This functionality is performed via salt (default) or fabric (using the
Salt provides faster execution times (especially in large clusters) of remote commands, assuming
salt is installed and running on the cluster. Salt is installed by default on cloud providers and
can be installed on bare-metal clusters using the command
acluster install salt.
Fabric provides remote command execution based on SSH, which can be slow in big clusters but
does not require salt to be installed on the cluster. Using fabric, you can also target specific
nodes using the
--target/-t option. The
--target/-t option can receive the keywords
‘head’ and ‘compute’, a number (zero-indexed, where 0 is the head node and 1 is the first compute
node), or two numbers separated by a comma to target a group of consecutive nodes.
$ acluster cmd 'date' Executing command "date" target: "*" cluster: "demo_cluster" 4 nodes response: Thu May 14 19:21:48 UTC 2015 1 nodes response: Thu May 14 19:21:44 UTC 2015 1 nodes response: Thu May 14 19:21:47 UTC 2015 $ acluster cmd 'date' --ssh 18.104.22.168: Thu May 14 19:22:06 UTC 2015 22.214.171.124: Thu May 14 19:22:03 UTC 2015 126.96.36.199: Thu May 14 19:22:06 UTC 2015 188.8.131.52: Thu May 14 19:22:06 UTC 2015 184.108.40.206: Thu May 14 19:22:06 UTC 2015 220.127.116.11: Thu May 14 19:22:06 UTC 2015 $ acluster cmd 'date' --ssh -t head 18.104.22.168: Thu May 14 19:23:02 UTC 2015 $ acluster cmd 'date' --ssh -t 3,6 22.214.171.124: Thu May 14 19:23:29 UTC 2015 126.96.36.199: Thu May 14 19:23:26 UTC 2015 188.8.131.52: Thu May 14 19:23:29 UTC 2015
acluster put and
acluster get allow files to be uploaded
to and downloaded from any node in the cluster. By default, the
get commands target the head node.
Both of the
get commands have the same
which has the same functionality as
cmd with the
$ acluster put environment.yml /tmp/env.yml Uploading file "environment.yml" to "/tmp/env.yml" - cluster: "demo_cluster" - hosts: "['184.108.40.206']" $ acluster put environment.yml /tmp/env.yml --all Uploading file "environment.yml" to "/tmp/env.yml" - cluster: "demo_cluster" - hosts: "['220.127.116.11', '18.104.22.168', '22.214.171.124', '126.96.36.199', '188.8.131.52', '184.108.40.206']" $ acluster put environment.yml /tmp/env.yml -t ,3 Uploading file "environment.yml" to "/tmp/env.yml" - cluster: "demo_cluster" - hosts: "['220.127.116.11', '18.104.22.168', '22.214.171.124']" $ acluster put environment.yml /tmp/env.yml -t compute Uploading file "environment.yml" to "/tmp/env.yml" - cluster: "demo_cluster" - hosts: "['126.96.36.199', '188.8.131.52', '184.108.40.206', '220.127.116.11', '18.104.22.168']"
get command has similar behavior. Although the
-target/-t option is also available,
it might not make sense to download the same file repeatedly since it will get overwritten.
$ acluster get /tmp/env.yml env2.yml Downloading file "/tmp/env.yml" to "env2.yml" - cluster: "demo_cluster" - hosts: "['22.214.171.124']" $ acluster get /tmp/env.yml env2.yml --all Downloading file "/tmp/env.yml" to "env2.yml" - cluster: "demo_cluster" - hosts: "['126.96.36.199', '188.8.131.52', '184.108.40.206', '220.127.116.11', '18.104.22.168', '22.214.171.124']" Warning: Local file /tmp/env2.yml already exists and is being overwritten. Warning: Local file /tmp/env2.yml already exists and is being overwritten.
acluster history command displays commands that were previously executed using
By default, the ten most recent commands are shown.
$ acluster history 2015-06-09 23:39:22,515: acluster create demo_cluster --profile profile_name 2015-06-10 00:00:46,151: acluster ssh 2015-06-10 00:01:35,304: acluster acluster conda install numpy scipy 2015-06-10 00:02:01,029: acluster open notebook
You can install the Elasticsearch, Logstash, and Kibana (ELK) plugins and use them to collect, search, and analyze data. When you install the ELK plugins, they come preconfigured for centralized logging of other Anaconda for cluster management plugins. For more information about plugins, refer to the Plugins documentation.
To install the ELK plugins, insert the following in your cluster profile before you create or provision a cluster:
plugins: - elasticsearch - logstash - kibana
or, use the following command to install the ELK plugins on an active cluster:
$ acluster install elasticsearch logstash kibana
After the ELK plugins are installed, they will begin collecting logs for various services, and the log data can be searched using Elasticsearch and visualized using Kibana. You can open the Kibana UI in your browser using the following command:
$ acluster open kibana
By default, the following index patterns are available in Kibana:
YYYY-MM-DD salt hdfs yarn spark_yarn spark_standalone zookeeper impala hive hbase hadoop-httpfs mapreduce syslog
Note that you can use the ELK plugins in a number of different workflows once they are installed on the cluster, including:
- Viewing and searching logs for all cluster-related plugins
- Viewing logs for Spark or YARN jobs for centralized job monitoring and troubleshooting
- Utilizing centralized logging capabilities from your application
acluster info command displays version information related to the
Anaconda for cluster management client installation.
$ acluster info anaconda-cluster version: 1.0 Platform: Darwin-14.3.0-x86_64 Processor: i386 Byte-ordering: little Python version: 2.7.10 |Continuum Analytics, Inc.| (default, May 28 2015, 17:04:42) [GCC 4.2.1 (Apple Inc. build 5577)] apache-libcloud version: 0.16.0 yaml version: 3.11
By default, salt provides quite a bit of functionality in its default modules.
All of this functionality is available by using the
acluster function command.
For example, you can ping all of the cluster nodes to see that they are available:
$ acluster function test.ping ip-10-153-156-45.ec2.internal: True ip-10-169-57-125.ec2.internal: True ip-10-181-18-153.ec2.internal: True ip-10-144-199-24.ec2.internal: True ip-10-113-145-230.ec2.internal: True ip-10-136-78-206.ec2.internal: True
Advanced functions are also available, such as listing all of the IP address associated with a node:
$ acluster function network.ipaddrs ip-10-169-57-125.ec2.internal: - 10.169.57.125 ip-10-144-199-24.ec2.internal: - 10.144.199.24 ip-10-181-18-153.ec2.internal: - 10.181.18.153 ip-10-153-156-45.ec2.internal: - 10.153.156.45 ip-10-136-78-206.ec2.internal: - 10.136.78.206 ip-10-113-145-230.ec2.internal: - 10.113.145.230
Another common salt command can be used to install packages using the system package manager:
$ acluster function pkg.install httpd ip-10-136-78-206.ec2.internal: ... httpd: ---------- new: 2.2.15-39.el6.centos old: ... ip-10-144-199-24.ec2.internal: ... httpd: ---------- new: 2.2.15-39.el6.centos old: ... ...
For more information on salt commands, see http://docs.saltstack.com/en/latest/ref/modules/all/