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Ada Installation Guide (MacOS) - Version 0.8.1

(Expected time: 30-45 mins)

 

0. Preparation

Recommended OS: MacOS 10.14.4

Recommended resources:

  • Ada Server: 8 GB RAM, 8 CPUs, 20 GB disc space
  • Mongo DB: 8 GB RAM, 4 CPUs, 50 GB disc space
  • Elastic Search DB: 8 GB RAM, 4 CPUs, 50 GB disc space

 

1. Java 1.8

brew cask install java8

 

2. Mongo DB

  • Install MongoDB (4.0.10) (Note that Ada is compatible with any 3.2, 3.4, 3.6, and 4.0 relaease of Mongo in case you fail to install the recommended version)
curl -L -O https://fastdl.mongodb.org/osx/mongodb-osx-ssl-x86_64-4.0.10.tgz
tar -xvf mongodb-osx-ssl-x86_64-4.0.10.tgz
mv mongodb-osx-x86_64-4.0.10 mongodb
mkdir -p /data/db
sudo chown -R `id -un` /data/db
  • Configure memory and other settings in /usr/local/etc/mongod.conf (set a reasonable cacheSizeGB, recommended to 50% of available RAM, ref)
  ...
  wiredTiger:
    engineConfig:
      cacheSizeGB: 5
      journalCompressor: none
    collectionConfig:
      blockCompressor: snappy
  • Create a limits file /etc/security/limits.d/mongodb.conf
mongodb    soft    nofile          1625538
mongodb    hard    nofile          1625538
mongodb    soft    nopro           64000
mongodb    hard    nopro           64000
mongodb    soft    memlock         unlimited
mongodb    hard    memlock         unlimited
mongodb    soft    fsize           unlimited
mongodb    hard    fsize           unlimited
mongodb    soft    cpu             unlimited
mongodb    hard    cpu             unlimited
mongodb    soft    as              unlimited
mongodb    hard    as              unlimited
  • To force your new limits to be loaded log out of all your current sessions and log back in.

  • Add MongoDB installation folder to PATH environment variable /etc/paths

<mongo_installation_folder>/bin
  • Start Mongo
mongod
  • To check if everything works as expected see the log file /usr/local/var/log/mongodb.

  • Recommendation: For convenient DB exploration and query execution install Robomongo (Robo3T) UI client.

  • Optionally set up users with authentication as described here.

  • For tuning tips go to here.

 

3. Elastic Search

  • Install ES (5.6.10)
curl -L -O https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-5.6.10.tar.gz
tar -xvf elasticsearch-5.6.10.tar.gz
mv elasticsearch-5.6.10 elasticsearch
  • Modify the configuration in <es_installation_folder>/config/elasticsearch.yml
  cluster.name: ada-cluster       (if not changed "elasticsearch" is used by default)
  bootstrap.memory_lock: true
  network.host: x.x.x.x           (set to a non-localhost ip address if the db should be accessible within a network)
  thread_pool:
      index:
          queue_size: 8000
      search:
          queue_size: 8000 
      bulk:
          queue_size: 500
  indices.query.bool.max_clause_count: 4096
  • If you want to store data in a special directory set also
path.data: /your_custom_path

(Note that you need to make your_custom_path writeable for the elasticsearch user)

  • Create a limits file /etc/security/limits.d/elasticsearch.conf
elasticsearch    soft    nofile          1625538
elasticsearch    hard    nofile          1625538
elasticsearch    soft    memlock         unlimited
elasticsearch    hard    memlock         unlimited
  • To force your new limits to be loaded log out of all your current sessions and log back in.

  • Configure open-file and locked memory constraints in /etc/default/elasticsearch

MAX_OPEN_FILES=1625538
MAX_LOCKED_MEMORY=unlimited
  • Set a reasonable heap size; recommended to 50% of available RAM, but no more than 31g in <es_installation_folder>/elasticsearch/config/jvm.options, e.g.
-Xms5g
-Xmx5g
  • Add Elastic Search to PATH environment variable /etc/paths
<es_installation_folder>/bin
  • Start ES
elasticsearch
  • To check if everything works as expected see the log file(s) at /usr/local/var/log/elasticsearch and/or curl the server info by curl -XGET localhost:9200.

  • Recommendation: For convenient DB exploration and query execution you might want to install the cerebro app:

curl -L -O https://github.com/lmenezes/cerebro/releases/download/v0.8.3/cerebro-0.8.3.zip
tar -xvf cerebro-0.8.3.zip
  • Open the configuration file conf/application.conf and add the host and name of your Elastic server to the hosts section, e.g.,
  {
    host = "http://x.x.x.x:9200"
    name = "ada-cluster"
  }
  • Run Cerebro, for example at the port 9209
 sudo ./bin/cerebro -Dhttp.port=9209

(Cerebro web client is then accessible at http://localhost:9209)

  • Alternatively you can install Kibana, which also allows execution of Elastic queries and many more, as described here.

 

4. Application Server (Netty)

  • Download the version 0.8.1
wget https://webdav-r3lab.uni.lu/public/ada-artifacts/ada-web-0.8.1.zip
  • Unzip the server binaries
sudo apt-get install unzip
unzip ada-web-$VERSION.zip
cd ada-web-$VERSION/bin
  • Create a temp folder wherever you want, e.g.
mkdir ada_temp
  • Set the path and memory constraint variables ADA_TEMP and ADA_MEM in runme script (Ada's bin folder).

  • Configure DB connections in set_env.sh (bin folder)

1 . Mongo

if not password-protected (default) set ADA_MONGO_DB_URI

export ADA_MONGO_DB_URI="mongodb://localhost:27017/ada?rm.nbChannelsPerNode=20"

if password-protected set the following variables

export ADA_MONGO_DB_HOST=x.x.x.x:27017
export ADA_MONGO_DB_NAME="ada"
export ADA_MONGO_DB_USERNAME="xxx_user"
export ADA_MONGO_DB_PASSWORD="XXX"

2 . Elastic Search

if non-localhost server is used set ADA_ELASTIC_DB_HOST

export ADA_ELASTIC_DB_HOST=x.x.x.x:9200

Also set the custom ES cluster name if it was configured in Section 3 (see /etc/elasticsearch/elasticsearch.yml)

export ADA_ELASTIC_DB_CLUSTER_NAME="ada-cluster"

3 . General Setting

  • Configure project, ldap (to enable access without authentication), and datasetimport in custom.conf (Ada conf folder)
project {
  name = "Ultimate"
  url = "https://ada-discovery.github.io"
  logo = "images/logos/ada_logo_v4.png"
}

ldap {
  mode = "local"
  port = "65505"
  debugusers = true
}

datasetimport.import.folder = "/custom_path"
  • Switch a Netty transport implementation to jdk (in custom.conf), which is required for MacOS deployments
play.server.netty.transport = "jdk"
  • Optionally if you want to use external images not shipped by default with Ada you must register your resource folder(s) placed in the Ada root by editing custom.conf
assets.external_paths = ["/folder_in_classpath"]

(Warning: Never set any of the folders to "/" since this would make all the classpath files, including common configuration files, accessible from outside as application assets. An example: https://localhost:8080/assets/application.conf)

Now you can use the logo images placed in your folder_in_classpath by adapting custom.conf for instance as

project {
  ....
  logo = "syscid_large.png"
}

footer.logos = [
  {url: "https://www.aetionomy.eu", logo: "aetionomy.png", height: 150},
  {url: "https://www.efpia.eu", logo: "efpia_logo.png"}
]

(Note an optional height attribute)

  • Start Ada (Netty)
./runme

(if cannot be executed chmod +x runme might be needed)

  • To check if everything works as expected see the log file at $ADA_ROOT/bin/logs/application.log

  • You can now access Ada at

http://localhost:8080
  • To login as admin go to
http://localhost:8080/loginAdmin
  • Set your custom Homepage, Contact, and Links in Admin → HTML Snippets → [+]

Homepage example:

<p>
	Ada provides key infrastructure for secured integration, visualization,
	and analysis of heterogeneous clinical and experimental data generated
	during the <a href="http://www.project_url_to_set.com">My TODO project</a>.
</p>
<p>
	My TODO research project focuses on improving ...
</p>
<button type="button" class="btn btn-default btn-sm" data-toggle="collapse" data-target="#more-info">Read More</button>
<div id="more-info" class="collapse">
	<blockquote>
		<h4>The platform currently ...</h4>
	</blockquote>
</div>
<br/>

Contact example:

<strong>Dr. John Snow</strong></br>
Winterfell Team</br>
Westeros Centre For Systems Biomedicine (WCSB)</br>
University of Seven Kingdoms</br></br>
<i class="glyphicon glyphicon-envelope"></i>
<a href="mailto:[email protected]?Subject=Ada Question">[email protected]</a><br>
<i class="glyphicon glyphicon-chevron-right"></i>
<a target="_blank" href="http://www.north.edu/wcsb">www.north.edu/wcsb</a><br>

Links example:

<li><a href="https://www.project-redcap.org">RedCap</a></li>
<li><a href="https://www.synapse.org">Synapse</a></li>
<li role="separator" class="divider"></li>
<li><a href="https://uni.lu/lcsb">LCSB Home</a></li>

 

5. LDAP

  • If your Ada is accessible from outside/the internet or having two users (admin: /loginAdmin and basic /loginBasic) without authentication is not sufficient you must configure LDAP users with authentication

  • Configure LDAP in set_env.sh

export ADA_LDAP_HOST="XXX"
export ADA_LDAP_BIND_PASSWORD="XXX"
  • Go to custom.confand remove mode (default: remote) and port (default: 389) and configure the LDAP groups, example:
ldap {
  dit = "cn=users,cn=accounts,dc=north,dc=edu"
  groups = ["cn=my-group-name,cn=groups,cn=accounts,dc=north,dc=edu"]
  bindDN = "uid=my-ldap-reader-xxx,cn=users,cn=accounts,dc=north,dc=edu"
  debugusers = true
}
  • Restart Ada
./stopme

and

./runme
  • Log in to Ada

  • Import LDAP users by clicking Admin → User Actions → Import from LDAP

  • Assign admin role to at least one user (yourself) Admin → Users → double click on a user → Roles → [+] → write admin → Update

  • Disable debugusers by removing it from custom.conf or setting it to false

  • Restart Ada

  • Check if debugusers have been disabled by trying to access http://localhost:8080/loginAdmin (must not allow you in)

  • Login using your LDAP username and password

  • Start by importing your first data set in Admin → Data Set Imports → [+]

  • Have fun!