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478 lines
15 KiB
ReStructuredText
=========================
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How Do I Use Salt States?
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=========================
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Simplicity, Simplicity, Simplicity
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Many of the most powerful and useful engineering solutions are founded on
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simple principals, the Salt SLS system strives to do just that. K.I.S.S.
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The core of the Salt State system is the SLS, or the SaLt State file. The SLS
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is a representation of the state in which a system should be in, and is set up
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to contain this data simply. This is often called configuration management.
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It is All Just Data
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===================
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Before delving into the particulars, it will help to understand that the SLS
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is just a data structure under the hood. While understanding that the SLS is
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just a data structure is not at all critical to understand to make use Salt
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States, it should help bolster the understanding of where the real power is.
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SLS files are therefore, in reality, just `dictionaries`_, `lists`_,
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`strings`_, and `numbers`_. By using this approach Salt can be much more
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flexible. As someone writes more state files, it becomes clear exactly what is
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being written. The result is a system that is easy to understand, yet grows
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with the needs of the admin or developer.
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In the section titled "State Data Structures" a reference exists, explaining
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in depth how the data is laid out.
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.. _`dictionaries`: http://docs.python.org/glossary.html#term-dictionary
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.. _`lists`: http://docs.python.org/glossary.html#term-list
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.. _`strings`: http://docs.python.org/library/stdtypes.html#typesseq
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.. _`numbers`: http://docs.python.org/library/stdtypes.html#numeric-types-int-float-long-complex
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Default Data - YAML
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===================
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By default Salt represents the SLS data in what is one of the simplest
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serialization formats available - `YAML`_.
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A typical SLS file will often look like this in YAML:
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.. code-block:: yaml
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:linenos:
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apache:
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pkg:
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- installed
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service:
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- running
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- require:
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- pkg: apache
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This SLS data will ensure that the package named apache is installed, and
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that the apache service is running. The components can be explained in a
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simple way.
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The first line is the ID for a set of data, and it is called the ID
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Declaration. This ID sets the name of the thing that needs to be manipulated.
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The second and fourth lines are the start of the State Declarations, so they
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are using the pkg and service states respectively. The pkg state manages a
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software package to get installed via the system's native package manager,
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and the service state manages a system daemon. Below the pkg and service
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lines are the function to run. This function defines what state the named
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package and service should be in. Here the package is to be installed, and
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the service should be running.
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Finally, on line 6, is the word ``require``. This is called a Requisite
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Statement, and it makes sure that the Apache service is only started after
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the successful installation of the apache package.
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.. _`YAML`: http://yaml.org/spec/1.1/
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Adding Configs and Users
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========================
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When setting up a service like an Apache web server, many more components may
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need to be added. The Apache configuration file will most likely be managed,
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and a user and group may need to be set up.
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.. code-block:: yaml
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:linenos:
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apache:
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pkg:
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- installed
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service:
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- running
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- watch:
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- pkg: apache
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- file: /etc/httpd/conf/httpd.conf
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- user: apache
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user.present:
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- uid: 87
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- gid: 87
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- home: /var/www/html
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- shell: /bin/nologin
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- require:
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- group: apache
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group.present:
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- gid: 87
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- require:
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- pkg: apache
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/etc/httpd/conf/httpd.conf:
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file.managed:
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- source: salt://apache/httpd.conf
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- user: root
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- group: root
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- mode: 644
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This SLS data greatly extends the first example, and includes a config file,
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a user, a group and new requisite statement: ``watch``.
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Adding more states is easy, since the new user and group states are under
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the Apache ID, the user and group will be the Apache user and group. The
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``require`` statements will make sure that the user will only be made after
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the group, and that the group will be made only after the Apache package is
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installed.
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Next,the ``require`` statement under service was changed to watch, and is
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now watching 3 states instead of just one. The watch statement does the same
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thing as require, making sure that the other states run before running the
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state with a watch, but it adds an extra component. The ``watch`` statement
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will run the state's watcher function if any of the watched states changed
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anything. So if the package was updated, the config file changed, or the user
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uid modified, then the service state's watcher will be run. The service
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state's watcher just restarts the service, so in this case, a change in the
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config file will also trigger a restart of the respective service.
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Moving Beyond a Single SLS
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==========================
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When setting up Salt States, more than one SLS will need to be used. The above
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examples were just in a single SLS file, but more than one SLS file can be
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combined to build out a State Tree. The above example also references a file
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with a strange source - ``salt://apache/httpd.conf``. That file will need to
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be available as well.
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The SLS files are laid out in a directory on the Salt master. Files are laid
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out as just files. A SLS is just a file and files to download are just files.
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The Apache example would be laid out in the root of the Salt file server like
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this: ::
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apache/init.sls
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apache/httpd.conf
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So the httpd.conf is just a file in the apache directory, and is referenced
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directly.
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But with more than a single SLS file, more components can be added to the
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toolkit, consider this SSH example:
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``ssh/init.sls:``
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.. code-block:: yaml
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:linenos:
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openssh-client:
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pkg.installed
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/etc/ssh/ssh_config
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file.managed:
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- user: root
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- group: root
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- mode: 644
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- source: salt://ssh/ssh_config
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- require:
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- pkg: openssh-client
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``ssh/server.sls:``
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.. code-block:: yaml
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:linenos:
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include:
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- ssh
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openssh-server:
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pkg.installed
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sshd:
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service.running:
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- require:
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- pkg: openssh-client
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- pkg: openssh-server
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- file: /etc/ssh/banner
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- file: /etc/ssh/sshd_config
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/etc/ssh/sshd_config:
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file.managed:
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- user: root
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- group: root
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- mode: 644
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- source: salt://ssh/sshd_config
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- require:
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- pkg: openssh-server
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/etc/ssh/banner:
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file:
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- managed
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- user: root
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- group: root
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- mode: 644
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- source: salt://ssh/banner
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- require:
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- pkg: openssh-server
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Now our State Tree looks like this: ::
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apache/init.sls
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apache/httpd.conf
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ssh/init.sls
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ssh/server.sls
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ssh/banner
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ssh/ssh_config
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ssh/sshd_config
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This example now introduces the ``include`` statement. The include statement
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includes another SLS file so that components found in it can be required,
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watched or as will soon be demonstrated - extended.
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The include statement allows for states to be cross linked. When an SLS
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has an include statement it is literally extended to include the contents of
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the included SLS files.
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Extending Included SLS Data
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===========================
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Sometimes SLS data needs to be extended. Perhaps the apache service needs to
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watch additional resources, or under certain circumstances a different file
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needs to be placed.
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These examples will add more watchers to apache and change the ssh banner.
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``ssh/custom-server.sls:``
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.. code-block:: yaml
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:linenos:
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include:
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- ssh.server
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extend:
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/etc/ssh/banner:
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file:
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- source: salt://ssh/custom-banner
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``python/mod_python.sls:``
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.. code-block:: yaml
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:linenos:
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include:
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- apache
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extend:
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apache:
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service:
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- watch:
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- pkg: mod_python
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mod_python:
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pkg.installed
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The ``custom-server.sls`` file uses the extend statement to overwrite where the
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banner is being downloaded from, and therefore changing what file is being used
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to configure the banner.
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In the new mod_python SLS the mod_python package is added, but more importantly
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the apache service was extended to also watch the mod_python package.
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.. include:: extend_with_require_watch.rst
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Understanding the Render System
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===============================
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Since the SLS data is just plain old data, it does not need to be represented
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with YAML. Salt defaults to YAML because it is very straightforward and easy
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to learn and use. But the SLS files can be rendered from almost any imaginable
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medium, so long as a renderer module is provided.
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The default rendering system is the ``yaml_jinja`` renderer. The
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``yaml_jinja`` renderer will first pass the template through the `Jinja2`_
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templating system, and then through the YAML parser. The benefit here is that
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full programming constructs are available when creating SLS files.
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Other renderers available are ``yaml_mako`` which uses the `Mako`_ templating
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system rather than the jinja templating system, and more notably, the pure
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Python or ``py`` renderer. The ``py`` renderer allows for SLS files to be
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written in pure Python, allowing for the utmost level of flexibility and
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power when preparing SLS data.
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.. _`Jinja2`: http://jinja.pocoo.org/
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.. _`Mako`: http://www.makotemplates.org/
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Getting to Know the Default - yaml_jinja
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----------------------------------------
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The default renderer - ``yaml_jinja``, allows for the use of the jinja
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templating system. A guide to the Jinja templating system can be found here:
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http://jinja.pocoo.org/docs
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When working with renderers a few very useful bits of data are passed in. In
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the case of templating engine based renderers, three critical components are
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available, ``salt``, ``grains``, and ``pillar``. The ``salt`` object allows for
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any Salt function to be called from within the template, and ``grains`` allows for
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the Grains to be accessed from within the template. A few examples:
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``apache/init.sls:``
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.. code-block:: yaml
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:linenos:
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apache:
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pkg.installed:
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{% if grains['os'] == 'RedHat'%}
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- name: httpd
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{% endif %}
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service.running:
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{% if grains['os'] == 'RedHat'%}
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- name: httpd
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{% endif %}
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- watch:
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- pkg: apache
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- file: /etc/httpd/conf/httpd.conf
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- user: apache
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user.present:
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- uid: 87
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- gid: 87
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- home: /var/www/html
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- shell: /bin/nologin
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- require:
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- group: apache
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group.present:
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- gid: 87
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- require:
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- pkg: apache
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/etc/httpd/conf/httpd.conf:
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file.managed:
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- source: salt://apache/httpd.conf
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- user: root
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- group: root
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- mode: 644
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This example is simple. If the ``os`` grain states that the operating system is
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Red Hat, then the name of the Apache package and service needs to be httpd.
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A more aggressive way to use Jinja can be found here, in a module to set up
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a MooseFS distributed filesystem chunkserver:
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``moosefs/chunk.sls:``
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.. code-block:: yaml
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:linenos:
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include:
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- moosefs
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{% for mnt in salt['cmd.run']('ls /dev/data/moose*').split() %}
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/mnt/moose{{ mnt[-1] }}:
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mount.mounted:
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- device: {{ mnt }}
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- fstype: xfs
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- mkmnt: True
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file.directory:
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- user: mfs
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- group: mfs
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- require:
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- user: mfs
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- group: mfs
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{% endfor %}
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'/etc/mfshdd.cfg':
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file.managed:
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- source: salt://moosefs/mfshdd.cfg
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- user: root
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- group: root
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- mode: 644
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- template: jinja
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- require:
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- pkg: mfs-chunkserver
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'/etc/mfschunkserver.cfg':
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file.managed:
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- source: salt://moosefs/mfschunkserver.cfg
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- user: root
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- group: root
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- mode: 644
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- template: jinja
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- require:
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- pkg: mfs-chunkserver
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mfs-chunkserver:
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pkg:
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- installed
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mfschunkserver:
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service:
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- running
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- require:
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{% for mnt in salt['cmd.run']('ls /dev/data/moose*') %}
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- mount: /mnt/moose{{ mnt[-1] }}
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- file: /mnt/moose{{ mnt[-1] }}
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{% endfor %}
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- file: /etc/mfschunkserver.cfg
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- file: /etc/mfshdd.cfg
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- file: /var/lib/mfs
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This example shows much more of the available power provided by Jinja.
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Multiple for loops are used to dynamically detect available hard drives
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and set them up to be mounted, and the ``salt`` object is used multiple
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times to call shell commands to gather data.
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Introducing the Python Renderer
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-------------------------------
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Sometimes the chosen default renderer might not have enough logical power to
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accomplish the needed task. When this happens, the Python renderer can be
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used. Normally a YAML renderer should be used for the majority of SLS files,
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but a SLS file set to use another renderer can be easily added to the tree.
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This example shows a very basic Python SLS file:
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``python/django.sls:``
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.. code-block:: python
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:linenos:
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#!py
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def run():
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'''
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Install the django package
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'''
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return {'include': ['python'],
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'django': {'pkg': ['installed']}}
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This is a very simple example, the first line has a SLS shebang line that
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tells Salt to not use the default renderer, but to use the ``py`` renderer.
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Then the run function is defined, the return value from the run function
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must be a Salt friendly data structure, or better known as a Salt
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:doc:`HighState data structure</ref/states/highstate>`.
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This Python example would look like this if it were written in YAML:
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.. code-block:: yaml
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:linenos:
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include:
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- python
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django:
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pkg.installed
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This clearly illustrates, that not only is using the YAML renderer a wise
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decision as the default, but that unbridled power can be obtained where
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needed by using a pure Python SLS.
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Running and debugging salt states.
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----------------------------------
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Once the rules in an SLS are ready, they need to be tested to ensure they
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work properly. To invoke the rules, simply execute ``salt '*' state.highstate``
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on the command line. If you get back just the hostnames with a `:` after,
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but no return, chances are there is a problem with the one or more of the sls
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files. Use the ``salt-call`` command: ``salt-call state.highstate -l debug``
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and examine the output for errors. This should help troubleshoot the issue.
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The minions can also be started in the foreground in debug mode. Start the
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minion in debug mode with: ``salt-minion -l debug``.
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Now onto the :doc:`States tutorial, part 1</topics/tutorials/states_pt1>`.
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