Snow Owl requires at least Java 8. Specifically as of this writing, it is recommended that you use the Oracle JDK version 1.8.0_171. Java installation varies from platform to platform so we won’t go into those details here. Oracle’s recommended installation documentation can be found on Oracle’s website. Suffice to say, before you install Snow Owl, please check your Java version first by running (and then install/upgrade accordingly if needed):

java -version
echo $JAVA_HOME

Once we have Java set up, we can then download and run Snow Owl. The binaries are available at the Releases pages. For each release, you have a choice among a zip or tar archive, a DEB or RPM package.

Installation example with zip

For simplicity, let's use a zip file.

Let's download the most recent Snow Owl release as follows:

curl -L -O https://github.com/b2ihealthcare/snow-owl/releases/download/<version>/snow-owl-oss-<version>.zip

Then extract it as follows:

unzip snow-owl-oss-<version>.zip

It will then create a bunch of files and folders in your current directory. We then go into the bin directory as follows:

cd snow-owl-oss-<version>/bin

And now we are ready to start the instance:

./startup

Successfully running instance

If everything goes well with the installation, you should see a bunch of log messages that look like below:

TODO example output

There are a few concepts that are core to Snow Owl. Understanding these concepts from the outset will tremendously help ease the learning process.

Terminology / Code System

A terminology (also known as code system, classification and/or ontology) defines and encapsulates a set of terminology components (eg. set of codes with their meanings) and versions. A terminology is identified by a unique name and stored in a repository. Multiple code systems can exist in a single repository besides each other as long as their name is unique.

Terminology Component

A terminology component is a basic element in a code system with actual clinical meaning or use. For example in SNOMED CT, the Concept, Description, Relationship and Reference Set Member are terminology components.

Version

A version that refers to an important snapshot in time, consistent across many terminology components, also known as tag or label. It is often created when the state of the terminology is deemed to be ready to be published and distributed to downstream customers or for internal use. A version is identified by its version ID (or version tag) within a given code system.

Repository

A repository manages changes to a set of data over time in the form of revisions. Conceptually very similar to a source code repository (like a Git repository), but information stored in the repository must conform to a predefined schema (eg. SNOMED CT Concepts RF2 schema) as opposed to storing it in pure binary or textual format. This way a repository can support various full-text search functionalities, semantical queries and evaluations on the stored, revision-controlled terminology data.

A repository is identified by a name and this name is used to refer to the repository when performing create, read, update, delete and other operations against the revisions in it. Repositories organize revisions into branches and commits.

Revision

A revision is the basic unit of information stored in a repository about a terminology component or artifact. It contains two types of information:

• one is the actual data that you care about, for example a single code from a code system with its meaining and properties.

• the other is revision control information (aka revision metadata). Each revision is identified by a random Universally Unique IDentifier (UUID) that is assigned when performing a commit in the repository. Also, during a commit each revision is associated with a branch and timestamp. Revisions can be compared, restored, and merged.

Branch

A set of components under version control may be branched or forked at a point in time so that, from that time forward, two copies of those components may develop at different speeds or in different ways independently of each other. At later point in time the changes made on one of these branches can be merged into the other.

Branches are organized into hierarchies like directories in file systems. A child branch has access to all of the information that is stored on its parent branch up until its baseTimestamp, which is the time the branch was created. Each repository has a predefined root branch, called MAIN.

Commit

A commit represents a set of changes made against a branch in a repository. After a successful commit, the changes made by the commit are immediately available and searchable on the given branch.

Merge / Rebase

A merge/rebase is an operation in which two sets of changes are applied to set of components. A merge/rebase always happens between two branches, denoting one as the source and the other as the target of the operation.

Now let's import an official SNOMED CT RF2 SNAPSHOT distribution archive so that we can further explore the available SNOMED CT APIs.

To import an RF2 archive you must first create an import configuration using the SNOMED CT Import API as follows:

curl -X POST http://localhost:8080/snowowl/snomed-ct/v3/imports -d
{
  "type": "SNAPSHOT",
  "branchPath": "MAIN"
}

And the response:

HTTP 204 No Content
Location: "http://localhost:8080/snowowl/snomed-ct/v3/imports/96406e91-84a0-49d3-9e6a-c5c652a36eba"

The import configuration specifies the type of the RF2 release (in this case SNAPSHOT) and the target branchPath where the content should imported. The response returns an empty body along with a Location header with a URL pointing to the created import configuration. You can extract the last part of the URL to get the import configuration ID which can be used to retrieve the configuration and to upload the actual archive and start the import.

The import will start automatically when you upload the archive to the /imports/:id/archive endpoint:

curl -X POST -F file=@SnomedCT_RF2Release_INT_20170731.zip 'http://localhost:8080/snowowl/snomed-ct/v3/imports/96406e91-84a0-49d3-9e6a-c5c652a36eba/archive'

The import process is asynchronous and its status can be checked by sending a GET request to the /imports/:id endpoint with the extracted import identifier as follows:

curl TODO

And the response:

{
  "type": "SNAPSHOT",
  "branchPath": "MAIN",
  "createVersions": false,
  "codeSystemShortName": "SNOMEDCT",
  "id": "ec702c17-88b7-454b-9ebc-d2d1e338658e",
  "status": "RUNNING",
  "startDate": "2018-10-10T10:01:08Z"
}

The status field describes the current state of the import, while the startDate and completionDate fields specify start and completion timestamps.

GET the ROOT concept:

curl 'http://localhost:8080/snowowl/snomed-ct/v3/MAIN/concepts/138875005'

And the response:

{
  "id": "138875005",
  "released": true,
  "active": true,
  "effectiveTime": "20020131",
  "moduleId": "900000000000207008",
  "iconId": "138875005",
  "definitionStatus": "PRIMITIVE",
  "subclassDefinitionStatus": "NON_DISJOINT_SUBCLASSES"
}

Search by ECL:

curl 'http://localhost:8080/snowowl/snomed-ct/v3/MAIN/concepts?active=true&ecl=%3C!138875005&limit=1'

And the response:

{
  "items": [
    {
      "id": "308916002",
      "released": true,
      "active": true,
      "effectiveTime": "20020131",
      "moduleId": "900000000000207008",
      "iconId": "138875005",
      "definitionStatus": "PRIMITIVE",
      "subclassDefinitionStatus": "NON_DISJOINT_SUBCLASSES"
    }
  ],
  "searchAfter": "AoE_BWVlYzI3Mjc0LTYyZTctNDg3NS05NmVlLThhNTk3OTcxOTJiNw==",
  "limit": 1,
  "total": 19
}

Let’s start with a basic health check, which we can use to see how our instance is doing. We’ll be using curl to do this but you can use any tool that allows you to make HTTP/REST calls. Let’s assume that we are still on the same node where we started Snow Owl on and open another command shell window.

To check the instance status/health, we will be using the Admin API. You can run the command by clicking the "Copy" link on the right side and pasting it into a terminal.

curl http://localhost:8080/snowowl/admin/info

And the response:

{
  "version": "<version>",
  "description": "You Know, for Terminologies",
  "repositories": {
    "items": [
      {
        "id": "snomedStore",
        "health": "GREEN"
      }
    ]
  }
}

In the response, we can see the version of our instance along with the available repositories and their health status (eg. SNOMED CT with status GREEN).

Whenever we ask for the status, we either get GREEN, YELLOW, or RED and an optional diagnosis message.

• Green - everything is good (repository is fully functional)

• Yellow - some data or functionality is not available, or diagnostic operation is in progress (repository is partially functional)

• Red - diagnostic operation required in order to continue (repository is not functional)

Snow Owl is both a simple and complex product. We’ve so far learned the basics of what it is, how to look inside of it, and how to work with it using some of the available APIs. Hopefully this tutorial has given you a better understanding of what Snow Owl is and more importantly, inspired you to further experiment with the rest of its great features!

This section includes information on how to setup Snow Owl and get it running, including:

• Downloading

• Installing

• Starting

• Configuring

Java (JVM) Version

Snow Owl is built using Java, and requires at least Java 8 in order to run. Only Oracle’s Java and the OpenJDK are supported. The same JVM version should be used on all Elasticsearch nodes and clients.

We recommend installing Java version 1.8.0_171 or a later version in the Java 8 release series. We recommend using a supported LTS version of Java.

The version of Java that Snow Owl will use can be configured by setting the JAVA_HOME environment variable.

Coming Soon!

Snow Owl

Snow Owl® is a highly scalable, open source terminology server with revision-control capabilities and collaborative authoring platform features. It allows you to store, search and author high volumes of terminology artifacts quickly and efficiently.

Download

Version: 7.0.0

Release date: October 12, 2018

License: Apache 2.0

Downloads:

• WINDOWS - sha

• MACOS/LINUX - sha

• RPM - sha

• DEB - sha

View the detailed release notes here.

Not the version you're looking for? View past releases.

Learn Snow Owl

• Getting Started

• Set up Snow Owl

• Configuring Snow Owl

• FHIR API

• SNOMED CT API

• Admin API

Acknowledgements

In March 2015, SNOMED International generously licensed the Snow Owl Terminology Server components supporting SNOMED CT. They subsequently made the licensed code available to their members and the global community under an open-source license.

In March 2017, NHS Digital licensed the Snow Owl Terminology Server to support the mandatory adoption of SNOMED CT throughout all care settings in the United Kingdom by April 2020. In addition to driving the UK’s clinical terminology efforts by providing a platform to author national clinical codes, Snow Owl will support the maintenance and improvement of the dm+d drug extension which alone is used in over 156 million electronic prescriptions per month. Improvements to the terminology server made under this agreement will be made available to the global community.

Snow Owl is provided in the following package formats:

Now that we have a SNOMED CT Code System, let's take a look at its content. We can query its content using either the or the .

For sake of simplicity, let's search for the available concepts using the . For that we will need the branch we would like to query, but fortunately we already know the value from our previous call to the Code Systems API, it was MAIN. To list all available concepts in a SNOMED CT Code System, use the following command:

And the response is:

Which simply means we have no SNOMED CT concepts yet in our instance.

Now let's take a peek at our code systems:

And the response:

Which means, we have a single Code System in Snow Owl, called SNOMED CT. It has been created by the SNOMED CT module by default on the first startup of your instance. A Code System lives in a repository and its working branchPath is currently associated with the default MAIN branch in the snomedStore repository.

Snow Owl is provided as a .zip and as a .tar.gz package. These packages can be used to install Snow Owl on any system and are the easiest package format to use when trying out Snow Owl.

The latest stable version of Snow Owl can be found on the page.

Download and install the zip package

The .zip archive for Snow Owl can be downloaded and installed as follows:

Download and install the .tar.gz package

The .tar.gz archive for Snow Owl can be downloaded and installed as follows:

Running Snow Owl from the command line

Snow Owl can be started from the command line as follows:

By default, Snow Owl runs in the foreground, prints its logs to the standard output (stdout), and can be stopped by pressing Ctrl-C.

Checking that Snow Owl is running

You can test that your instance is running by sending an HTTP request to Snow Owl's status endpoint:

which should give you a response like this:

Running in the background

You can send the Snow Owl process to the background using the combination of nohup and the & character:

Log messages can be found in the $SO_HOME/serviceability/logs/ directory.

To shut down Snow Owl, you can kill the process ID directly:

or using the provided shutdown script:

Directory layout of .zip and .tar.gz archives:

The .zip and .tar.gz packages are entirely self-contained. All files and directories are, by default, contained within $SO_HOME — the directory created when unpacking the archive.

This is very convenient because you don’t have to create any directories to start using Snow Owl, and uninstalling Snow Owl is as easy as removing the $SO_HOME directory. However, it is advisable to change the default locations of the config directory, the data directory, and the logs directory so that you do not delete important data later on.

Next steps

You now have a test Snow Owl environment set up. Before you start serious development or go into production with Snow Owl, you must do some additional setup:

Now that we have our instance up and running, the next step is to understand how to communicate with it. Fortunately, Snow Owl provides very comprehensive and powerful APIs to interact with your instance.

REST API

Among the few things that can be done with the API are as follows:

• Check your instance health, status, and statistics

• Administer your instance data

• Perform CRUD (Create, Read, Update, and Delete) and search operations against your terminologies

• Execute advanced search operations such as paging, sorting, filtering, scripting, aggregations, and many others

You should rarely need to change Java Virtual Machine (JVM) options. If you do, the most likely change is setting the heap size.

The preferred method of setting JVM options (including system properties and JVM flags) is via the the SO_JAVA_OPTS environment variable. For instance:

export SO_JAVA_OPTS="$SO_JAVA_OPTS -Djava.io.tmpdir=/path/to/temp/dir"
./bin/startup

When using the RPM or Debian packages, SO_JAVA_OPTS can be specified in the system configuration file.

Coming Soon!

Snow Owl uses SLF4J and Logback for logging.

The logging configuration file (serviceability.xml) can be used to configure Snow Owl logging. The logging configuration file location depends on your installation method, by default it is located in the ${SO_HOME}/configuration folder.

Extensive information on how to customize logging and all the supported appenders can be found on the Logback documentation.

Snow Owl ships with good defaults and requires very little configuration.

Config files location

Snow Owl has three configuration files:

• snowowl.yml for configuring Snow Owl

• serviceability.xml for configuring Snow Owl logging

• elasticsearch.yml for configuring the underlying Elasticsearch instance in case of embedded deployments

These files are located in the config directory, whose default location depends on whether or not the installation is from an archive distribution (tar.gz or zip) or a package distribution (Debian or RPM packages).

For the archive distributions, the config directory location defaults to $SO_PATH_HOME/configuration. The location of the config directory can be changed via the SO_PATH_CONF environment variable as follows:

SO_PATH_CONF=/path/to/my/config ./bin/startup

Alternatively, you can export the SO_PATH_CONF environment variable via the command line or via your shell profile.

For the package distributions, the config directory location defaults to /etc/snowowl. The location of the config directory can also be changed via the SO_PATH_CONF environment variable, but note that setting this in your shell is not sufficient. Instead, this variable is sourced from /etc/default/snowowl (for the Debian package) and /etc/sysconfig/snowowl (for the RPM package). You will need to edit the SO_PATH_CONF=/etc/snowowl entry in one of these files accordingly to change the config directory location.

Config file format

The configuration format is YAML. Here is an example of changing the path of the data directory:

path:
    data: /var/lib/snowowl

Settings can also be flattened as follows:

path.data: /var/lib/snowowl

Environment variable substitution

Environment variables referenced with the ${...} notation within the configuration file will be replaced with the value of the environment variable, for instance:

repository.host: ${HOSTNAME}
repository.port: ${SO_REPOSITORY_PORT}

By default, Snow Owl is starting and connecting to an embedded Elasticsearch cluster available on http://localhost:9200. This cluster has only a single node and its discovery method is set to single-node, which means it is not able to connect to other Elasticsearch clusters and will be used exclusively by Snow Owl.

This single node Elasticsearch cluster can easily serve Snow Owl in testing, evaluation and small authoring environments, but it is recommended to customize how Snow Owl connects to an Elasticsearch cluster in larger environments (especially when planning to scale with user demand).

You have two options to configure Elasticsearch used by Snow Owl.

Configure the embedded instance

The first option is to configure the underlying Elasticsearch instance by editing the configuration file elasticsearch.yml, which depending on your installation is available in the configuration directory (you can create the file, if it is not available, Snow Owl will pick it up during the next startup).

Connect to a remote cluster

The second option is to configure Snow Owl to use a remote Elasticsearch cluster without the embedded instance. In order to use this feature you need to set the repository.index.clusterUrl configuration parameter to the remote address of your Elasticsearch cluster. When Snow Owl is configured to connect to a remote Elasticsearch cluster, it won't boot up the embedded instance, which reduces the memory requirements of Snow Owl slightly.

You can connect to self-hosted clusters or hosted solutions provided by AWS and Elastic.co for example.

Snow Owl® is a highly scalable, open source terminology server and collaborative authoring platform. It allows you to store, search and author high volumes of terminology artifacts quickly and efficiently.

Here are a few use-cases that Snow Owl could be used for:

• You work in the healthcare industry and are interested in using a terminology server for browsing, accessing and distributing components of various terminologies and classifications to third-party consumers. In this case, you can use Snow Owl to load the necessary terminologies and access them via FHIR and proprietary APIs.

• You are responsible for maintaining and publishing new versions of a particular terminology. In this case, you can use Snow Owl to collaboratively access and author the terminology content and at the end of your release schedule publish it with confidence and zero errors.

• You have an Electronic Health Record system and would like to capture, maintain and query clinical information in a structured and standardized manner. Your Snow Owl terminology server can integrate with your EHR server via standard APIs to provide the necessary access for both terminology binding and data processing and analytics.

In this tutorial, you will be guided through the process of getting Snow Owl up and running, taking a peek inside it, and performing basic operations like importing SNOMED CT RF2 content, searching, and modifying your data. At the end of this tutorial, you should have a good idea of what Snow Owl is, how it works, and hopefully be inspired to see how you can use it for your needs.

Snow Owl (with embedded Elasticsearch) uses a lot of file descriptors or file handles. Running out of file descriptors can be disastrous and will most probably lead to data loss. Make sure to increase the limit on the number of open files descriptors for the user running Snow Owl to 65,536 or higher.

For the .zip and .tar.gz packages, set ulimit -n 65536 as root before starting Snow Owl, or set nofile to 65536 in /etc/security/limits.conf.

RPM and Debian packages already default the maximum number of file descriptors to 65536 and do not require further configuration.

Snow Owl uses a number of thread pools for different types of operations. It is important that it is able to create new threads whenever needed. Make sure that the number of threads that the Snow Owl user can create is at least 4096.

This can be done by setting ulimit -u 4096 as root before starting Snow Owl, or by setting nproc to 4096 in /etc/security/limits.conf.

The package distributions when run as services under systemd will configure the number of threads for the Snow Owl process automatically. No additional configuration is required.

Coming soon!

The RPM for Snow Owl can be downloaded from the Downloads section. It can be used to install Snow Owl on any RPM-based system such as OpenSuSE, SLES, Centos, Red Hat, and Oracle Enterprise.

Download and install

wget https://github.com/b2ihealthcare/snow-owl/releases/download/<version>/snow-owl-oss-<version>.rpm
wget https://github.com/b2ihealthcare/snow-owl/releases/download/<version>/snow-owl-oss-<version>.rpm.sha512
shasum -a 512 -c snow-owl-oss-<version>.rpm.sha512 # Compares the SHA of the downloaded RPM and the published checksum, which should output `snow-owl-oss-<version>.rpm: OK`.
sudo rpm --install snow-owl-oss-<version>.rpm

Running Snow Owl with SysV init

Use the chkconfig command to configure Snow Owl to start automatically when the system boots up:

sudo chkconfig --add snowowl

Snow Owl can be started and stopped using the service command:

sudo -i service snowowl start
sudo -i service snowowl stop

If Snow Owl fails to start for any reason, it will print the reason for failure to STDOUT. Log files can be found in /var/log/snowowl/.

Running Snow Owl with systemd

To configure Snow Owl to start automatically when the system boots up, run the following commands:

sudo /bin/systemctl daemon-reload
sudo /bin/systemctl enable snowowl.service

Snow Owl can be started and stopped as follows:

sudo systemctl start snowowl.service
sudo systemctl stop snowowl.service

These commands provide no feedback as to whether Snow Owl was started successfully or not. Instead, this information will be written in the log files located in /var/log/snowowl/.

Checking that Snow Owl is running

You can test that your Snow Owl instance is running by sending an HTTP request to:

curl http://localhost:8080/snowowl/admin/info

which should give you a response something like this:

{
  "version": "7.0.0",
  "description": "You Know, for Terminologies",
  "repositories": {
    "items": [
      {
        "id": "snomedStore",
        "health": "GREEN"
      }
    ]
  }
}

Configuring Snow Owl

Snow Owl defaults to using /etc/snowowl for runtime configuration. The ownership of this directory and all files in this directory are set to root:snowowl on package installation and the directory has the setgid flag set so that any files and subdirectories created under /etc/snowowl are created with this ownership as well (e.g., if a keystore is created using the keystore tool). It is expected that this be maintained so that the Snow Owl process can read the files under this directory via the group permissions.

Snow Owl loads its configuration from the /etc/snowowl/snowowl.yml file by default. The format of this config file is explained in Configuring Snow Owl.

Directory layout of RPM

The RPM places config files, logs, and the data directory in the appropriate locations for an RPM-based system:

Next steps

You now have a test Snow Owl environment set up. Before you start serious development or go into production with Snow Owl, you must do some additional setup:

• Learn how to configure Snow Owl.

• Configure important Snow Owl settings.

• Configure important system settings.

While Snow Owl requires very little configuration, there are a number of settings which need to be considered before going into production.

The following settings must be considered before going to production:

Elasticsearch settings

By default, Snow Owl includes the OSS version of Elasticsearch and runs it in embedded mode to store terminology data and make it available for search. This is convenient for single node environments (eg. for evaluation, testing and development), but it might not be sufficient when you go into production.

To configure Snow Owl to connect to an Elasticsearch cluster, change the clusterUrl property in the snowowl.yml configuration file:

The value for this setting should be a valid HTTP URL point to the HTTP API of your Elasticsearch cluster, which by default runs on port 9200.

Path settings

If you are using the .zip or .tar.gz archives, the data and logs directories are sub-folders of $SO_HOME. If these important folders are left in their default locations, there is a high risk of them being deleted while upgrading Snow Owl to a new version.

In production use, you will almost certainly want to change the locations of the data and log folders.

The RPM and Debian distributions already use custom paths for data and logs.

Network settings

To allow clients to connect to Snow Owl, make sure you open access to the following ports:

• 8080/TCP:: Used by Snow Owl Server's REST API for HTTP access

• 8443/TCP:: Used by Snow Owl Server's REST API for HTTPS access

• 2036/TCP:: Used by the Net4J binary protocol connecting Snow Owl clients to the server

Setting the heap size

By default, Snow Owl tells the JVM to use a heap with a minimum and maximum size of 2 GB. When moving to production, it is important to configure heap size to ensure that Snow Owl has enough heap available.

To configure the heap size settings, change the -Xms and -Xmx settings in the SO_JAVA_OPTS environment variable.

The value for these setting depends on the amount of RAM available on your server and whether you are running Elasticsearch on the some node as Snow Owl (either embedded or as a service) or running it in its own cluster. Good rules of thumb are:

• Set the minimum heap size (Xms) and maximum heap size (Xmx) to be equal to each other.

• Too much heap can subject to long garbage collection pauses.

• Set Xmx to no more than 50% of your physical RAM, to ensure that there is enough physical RAM left for kernel file system caches.

• Snow Owl connecting to a remote Elasticsearch cluster requires less memory, but make sure you still allocate enough for your use cases (classification, batch processing, etc.).

Snow Owl uses a mmapfs directory by default to store its data. The default operating system limits on mmap counts is likely to be too low, which may result in out of memory exceptions.

On Linux, you can increase the limits by running the following command as root:

To set this value permanently, update the vm.max_map_count setting in /etc/sysctl.conf. To verify after rebooting, run sysctl vm.max_map_count.

The RPM and Debian packages will configure this setting automatically. No further configuration is required.

Ideally, Snow Owl should run alone on a server and use all of the resources available to it. In order to do so, you need to configure your operating system to allow the user running Snow Owl to access more resources than allowed by default.

The following settings must be considered before going to production:

Configuring system settings

Where to configure systems settings depends on which package you have used to install Snow Owl, and which operating system you are using.

When using the .zip or .tar.gz packages, system settings can be configured:

• temporarily with , or

• permanently in .

When using the RPM or Debian packages, most system settings are set in the system configuration file. However, systems which use systemd require that system limits are specified in a systemd configuration file.

ulimit

On Linux systems, ulimit can be used to change resource limits on a temporary basis. Limits usually need to be set as root before switching to the user that will run Snow Owl. For example, to set the number of open file handles (ulimit -n) to 65,536, you can do the following:

The new limit is only applied during the current session.

You can consult all currently applied limits with ulimit -a.

/etc/security/limits.conf

On Linux systems, persistent limits can be set for a particular user by editing the /etc/security/limits.conf file. To set the maximum number of open files for the snowowl user to 65,536, add the following line to the limits.conf file:

This change will only take effect the next time the snowowl user opens a new session.

Sysconfig file

When using the RPM or Debian packages, system settings and environment variables can be specified in the system configuration file, which is located in:

However, for systems which uses systemd, system limits need to be specified via systemd.

Systemd configuration

When using the RPM or Debian packages on systems that use systemd, system limits must be specified via systemd.

The systemd service file (/usr/lib/systemd/system/snowowl.service) contains the limits that are applied by default.

To override them, add a file called /etc/systemd/system/snowowl.service.d/override.conf (alternatively, you may run sudo systemctl edit snowowl which opens the file automatically inside your default editor). Set any changes in this file, such as:

Once finished, run the following command to reload units:

An orderly shutdown of Snow Owl ensures that Snow Owl has a chance to cleanup and close outstanding resources. For example, an instance that is shutdown in an orderly fashion will initiate an orderly shutdown of the embedded Elasticsearch instance, gracefully close and disconnect connections and perform other related cleanup activities. You can help ensure an orderly shutdown by properly stopping Snow Owl.

If you’re running Snow Owl as a service, you can stop Snow Owl via the service management functionality provided by your installation.

If you’re running Snow Owl directly, you can stop Snow Owl by sending Ctrl-C if you’re running Snow Owl in the console, or by invoking the provided shutdown script as follows:

Scheduler

The method for starting Snow Owl varies depending on how you installed it.

Archive packages (.tar.gz, .zip)

If you installed Snow Owl with a .tar.gz or zip package, you can start Snow Owl from the command line.

Running Snow Owl from the command line

Snow Owl can be started from the command line as follows:

By default, Snow Owl runs in the foreground, prints some of its logs to the standard output (stdout), and can be stopped by pressing Ctrl-C.

Running as a daemon

To run Snow Owl as a daemon, use the following command:

Log messages can be found in the $SO_HOME/serviceability/logs/ directory.

RPM packages

Snow Owl is not started automatically after installation. How to start and stop Snow Owl depends on whether your system uses SysV init or systemd (used by newer distributions). You can tell which is being used by running this command:

Running Snow Owl with SysV init

Use the chkconfig command to configure Snow Owl to start automatically when the system boots up:

Snow Owl can be started and stopped using the service command:

If Snow Owl fails to start for any reason, it will print the reason for failure to STDOUT. Log files can be found in /var/log/snowowl/.

Running Snow Owl with systemd

To configure Snow Owl to start automatically when the system boots up, run the following commands:

Snow Owl can be started and stopped as follows:

These commands provide no feedback as to whether Snow Owl was started successfully or not. Instead, this information will be written in the log files located in /var/log/snowowl/.

Debian packages (Coming Soon)

Docker images (Coming Soon)

Snow Owl security features enables you to easily secure your terminology server. You can password-protect your data as well as implement more advanced security measures such as role-based access control and auditing.

You can choose the following security realms/identity providers to authenticate your users:

You can manage and authenticate users with the built-in file internal realm. All the data about the users for the file realm is stored in the users file. The file is located in SO_PATH_CONF and are read on startup.

You need to explicitly select the file realm in the snowowl.yml configuration file in order to use it for authentication.

In the above configuration the file realm is using the users file to read your users from. Each row in the file represents a username and password delimited by : character. The passwords are BCrypt encrypted hashes. The default users file comes with a default snowowl user with the default snowowl password.

Detailed API documentation is coming soon! Until then we recommend to check out the official Swagger documentation available on your Snow Owl instance at .

You can configure security to communicate with a Lightweight Directory Access Protocol (LDAP) server to authenticate users. To integrate with LDAP, you configure an ldap realm in the snowowl.yml configuration file.

identity:
  providers:
    - ldap:
        uri: <ldap_uri>
        baseDn: dc=snowowl,dc=b2international,dc=com
        rootDn: cn=admin,dc=snowowl,dc=b2international,dc=com
        rootDnPassword: <adminpwd>
        userIdProperty: uid
        usePool: false

At a minimum, you must set the realm type to ldap, specify the url of the LDAP server and set the rootDnPassword in the snowowl.yml configuration file. Your users should be available under the specified baseDn entry, and also there should be an cn=admin entry to allow access for Snow Owl to read user data. By default Snow Owl expects that the username of a user is present in the uid property. You can change this in the userIdProperty setting.

Detailed API documentation is coming soon! Until then we recommend to check out the official Swagger documentation available on your Snow Owl instance at /snowowl/admin.

Detailed API documentation is coming soon! Until then we recommend to check out the official Swagger documentation available on your Snow Owl instance at /snowowl/snomed-ct/v3.

Most operating systems try to use as much memory as possible for file system caches and eagerly swap out unused application memory. This can result in parts of the JVM heap or even its executable pages being swapped out to disk.

Swapping is very bad for performance, and should be avoided at all costs. It can cause garbage collections to last for minutes instead of milliseconds and can cause services to respond slowly or even time out.

There are two approaches to disabling swapping. The preferred option is to completely disable swap, but if this is not an option, you can minimize swappiness.

Disable all swap files

Usually Snow Owl is the only service running on a box, and its memory usage is controlled by the JVM options. There should be no need to have swap enabled.

On Linux systems, you can disable swap temporarily by running:

sudo swapoff -a

To disable it permanently, you will need to edit the /etc/fstab file and comment out any lines that contain the word swap.

Configure swappiness

Another option available on Linux systems is to ensure that the sysctl value vm.swappiness is set to 1. This reduces the kernel’s tendency to swap and should not lead to swapping under normal circumstances, while still allowing the whole system to swap in emergency conditions.

# sysctl settings, to be added to /etc/sysctl.conf or equivalent
vm.swappiness = 1
vm.max_map_count = 262144