Before running the Dataverse installation script, you must install and configure the following software.
After following all the steps below, you can proceed to the Installation section.
You may find it helpful to look at how the configuration is done automatically by various tools such as Vagrant, Puppet, or Ansible. See the Preparation section for pointers on diving into these scripts.
Contents:
We assume you plan to run Dataverse on Linux and we recommend RHEL/CentOS, which is the Linux distribution tested by the Dataverse development team. Please be aware that while el7 (RHEL/CentOS 7) is the recommended platform, the steps below were orginally written for el6 and may need to be updated (please feel free to make a pull request!).
Dataverse requires Java SE 8 (8u74/JDK 1.8.0u74 or higher).
Dataverse should run fine with only the Java Runtime Environment (JRE) installed, but installing the Java Development Kit (JDK) is recommended so that useful tools for troubleshooting production environments are available. We recommend using Oracle JDK or OpenJDK.
The Oracle JDK can be downloaded from http://www.oracle.com/technetwork/java/javase/downloads/index.html
On a RHEL/CentOS, install OpenJDK (devel version) using yum:
# yum install java-1.8.0-openjdk-devel
If you have multiple versions of Java installed, Java 8 should be the default when java
is invoked from the command line. You can test this by running java -version
.
On RHEL/CentOS you can make Java 8 the default with the alternatives
command, having it prompt you to select the version of Java from a list:
# alternatives --config java
If you don’t want to be prompted, here is an example of the non-interactive invocation:
# alternatives --set java /usr/lib/jvm/jre-1.8.0-openjdk.x86_64/bin/java
Glassfish Version 4.1 is required. There are known issues with newer versions of the Glassfish 4.x series so it should be avoided. For details, see https://github.com/IQSS/dataverse/issues/2628 . The issue we are using the track support for Glassfish 5 is https://github.com/IQSS/dataverse/issues/4248 .
Note: The Dataverse installer need not be run as root, and it is recommended that Glassfish not run as root either. We suggest the creation of a glassfish service account for this purpose.
Download and install Glassfish (installed in /usr/local/glassfish4
in the example commands below):
# wget http://dlc-cdn.sun.com/glassfish/4.1/release/glassfish-4.1.zip
# unzip glassfish-4.1.zip
# mv glassfish4 /usr/local
If you intend to install and run Glassfish under a service account (and we hope you do), chown -R the Glassfish hierarchy to root to protect it but give the service account access to the below directories:
Set service account permissions:
# chown -R root:root /usr/local/glassfish4
# chown glassfish /usr/local/glassfish4/glassfish/lib
# chown -R glassfish:glassfish /usr/local/glassfish4/glassfish/domains/domain1
After installation, you may chown the lib/ directory back to root; the installer only needs write access to copy the JDBC driver into that directory.
Once Glassfish is installed, you’ll need a newer version of the Weld library (v2.2.10.SP1) to fix a serious issue in the library supplied with Glassfish 4.1 (see https://github.com/IQSS/dataverse/issues/647 for details). If you plan to front Glassfish with Apache you must also patch Grizzly as explained in the Shibboleth section.
Remove the stock Weld jar; download Weld v2.2.10.SP1 and install it in the modules folder:
# cd /usr/local/glassfish4/glassfish/modules
# rm weld-osgi-bundle.jar
# wget http://central.maven.org/maven2/org/jboss/weld/weld-osgi-bundle/2.2.10.SP1/weld-osgi-bundle-2.2.10.SP1-glassfish4.jar
Change from -client
to -server
under <jvm-options>-client</jvm-options>
:
# vim /usr/local/glassfish4/glassfish/domains/domain1/config/domain.xml
This recommendation comes from http://www.c2b2.co.uk/middleware-blog/glassfish-4-performance-tuning-monitoring-and-troubleshooting.php among other places.
Start Glassfish and verify the Weld version:
# /usr/local/glassfish4/bin/asadmin start-domain
# /usr/local/glassfish4/bin/asadmin osgi lb | grep 'Weld OSGi Bundle'
The Dataverse installation script will start Glassfish if necessary, but you may find the following scripts helpful to launch Glassfish start automatically on boot.
Systemd file
may be serve as a reference for systems using Systemd (such as RHEL/CentOS 7 or Ubuntu 16+)init script
may be useful for RHEL/CentOS 6 or Ubuntu >= 14 if you’re using a Glassfish service account, orGlassfish init script
may be helpful if you’re just going to run Glassfish as root.It is not necessary for Glassfish to be running before you execute the Dataverse installation script; it will start Glassfish for you.
Please note that you must run Glassfish in an English locale. If you are using something like LANG=de_DE.UTF-8
, ingest of tabular data will fail with the message “RoundRoutines:decimal separator no in right place”.
Also note that Glassfish may utilize more than the default number of file descriptors, especially when running batch jobs such as harvesting. We have increased ours by adding ulimit -n 32768 to our glassfish init script. On operating systems which use systemd such as RHEL or CentOS 7, file descriptor limits may be increased by adding a line like LimitNOFILE=32768 to the systemd unit file. You may adjust the file descriptor limits on running processes by using the prlimit utility:
# sudo prlimit -p pid -n 32768:32768
Version 9.x is required. Previous versions have not been tested.
Version 9.6 is anticipated as an “LTS” release in RHEL and on other platforms:
# yum install -y https://download.postgresql.org/pub/repos/yum/9.6/redhat/rhel-7-x86_64/pgdg-centos96-9.6-3.noarch.rpm
# yum makecache fast
# yum install -y postgresql96-server
# /usr/pgsql-9.6/bin/postgresql96-setup initdb
# /usr/bin/systemctl start postgresql-9.6
# /usr/bin/systemctl enable postgresql-9.6
Note these steps are specific to RHEL/CentOS 7. For RHEL/CentOS 6 use:
# service postgresql-9.6 initdb
# service postgresql-9.6 start
The application and the installer script will be connecting to PostgreSQL over TCP/IP, using password authentication. In this section we explain how to configure PostgreSQL to accept these connections.
If PostgreSQL is running on the same server as Glassfish, find the localhost (127.0.0.1) entry that’s already in the pg_hba.conf
and modify it to look like this:
host all all 127.0.0.1/32 md5
Once you are done with the prerequisites and run the installer script (documented here: Installation) it will ask you to enter the address of the Postgres server. Simply accept the default value 127.0.0.1
there.
The Dataverse installer script will need to connect to PostgreSQL as the admin user, in order to create and set up the database that the Dataverse will be using. If for whatever reason it is failing to connect (for example, if you don’t know/remember what your Postgres admin password is), you may choose to temporarily disable all the access restrictions on localhost connections, by changing the above line to:
host all all 127.0.0.1/32 trust
Note that this rule opens access to the database server via localhost only. Still, in a production environment, this may constitute a security risk. So you will likely want to change it back to “md5” once the installer has finished.
If the Dataverse application is running on a different server, you will need to add a new entry to the pg_hba.conf
granting it access by its network address:
host all all [ADDRESS] 255.255.255.255 md5
Where [ADDRESS]
is the numeric IP address of the Glassfish server. Enter this address when the installer asks for the PostgreSQL server address.
In some distributions, PostgreSQL is pre-configured so that it doesn’t accept network connections at all. Check that the listen_address
line in the configuration file postgresql.conf
is not commented out and looks like this:
listen_addresses='*'
The file postgresql.conf
will be located in the same directory as the pg_hba.conf
above.
Important: PostgreSQL must be restarted for the configuration changes to take effect! On RHEL/CentOS 7 and similar (provided you installed Postgres as instructed above):
# systemctl restart postgresql-9.6
or on RHEL/CentOS 6:
# service postgresql restart
On MacOS X a “Reload Configuration” icon is usually supplied in the PostgreSQL application folder. Or you could look up the process id of the PostgreSQL postmaster process, and send it the SIGHUP signal:
kill -1 PROCESS_ID
The Dataverse search index is powered by Solr.
You should not run Solr as root. Create a user called solr
and a directory to install Solr into:
useradd solr
mkdir /usr/local/solr
chown solr:solr /usr/local/solr
Become the solr
user and then download and configure Solr:
su - solr
cd /usr/local/solr
wget https://archive.apache.org/dist/lucene/solr/7.3.0/solr-7.3.0.tgz
tar xvzf solr-7.3.0.tgz
cd solr-7.3.0
cp -r server/solr/configsets/_default server/solr/collection1
You should already have a “dvinstall.zip” file that you downloaded from https://github.com/IQSS/dataverse/releases . Unzip it into /tmp
. Then copy the files into place:
cp /tmp/dvinstall/schema.xml /usr/local/solr/solr-7.3.0/server/solr/collection1/conf
cp /tmp/dvinstall/solrconfig.xml /usr/local/solr/solr-7.3.0/server/solr/collection1/conf
Note: Dataverse has customized Solr to boost results that come from certain indexed elements inside Dataverse, for example results matching on the name of a dataset. If you would like to remove this, edit your solrconfig.xml
and remove the <str name="qf">
element and its contents.
Dataverse requires a change to the jetty.xml
file that ships with Solr. Edit /usr/local/solr/solr-7.3.0/server/etc/jetty.xml
, increasing requestHeaderSize
from 8192
to 102400
With the Dataverse-specific config in place, you can now start Solr and create the core that will be used to manage search information:
cd /usr/local/solr/solr-7.3.0
bin/solr start
bin/solr create_core -c collection1 -d server/solr/collection1/conf/
Please note: Solr will warn about needing to increase the number of file descriptors and max processes in a production environment but will still run with defaults. We have increased these values to the recommended levels by adding ulimit -n 65000 to the init script and adding solr soft nproc 65000 to /etc/security/limits.conf. On operating systems which use systemd such as RHEL or CentOS 7, you may add a line like LimitNOFILE=65000 to the systemd unit file, or adjust the limits on a running process using the prlimit tool:
# sudo prlimit -p pid -n 65000:65000
For systems running systemd, as root, download solr.service
and place it in /tmp
. Then start Solr and configure it to start at boot with the following commands:
cp /tmp/solr.service /usr/lib/systemd/system
systemctl start solr.service
systemctl enable solr.service
For systems using init.d, download this Solr init script
and place it in /tmp
. Then start Solr and configure it to start at boot with the following commands:
cp /tmp/solr /etc/init.d
service solr start
chkconfig solr on
Solr must be firewalled off from all hosts except the server(s) running Dataverse. Otherwise, any host that can reach the Solr port (8983 by default) can add or delete data, search unpublished data, and even reconfigure Solr. For more information, please see https://lucene.apache.org/solr/guide/7_2/securing-solr.html
jq
is a command line tool for parsing JSON output that is used by the Dataverse installation script. https://stedolan.github.io/jq explains various ways of installing it, but a relatively straightforward method is described below. Please note that you must download the 64- or 32-bit version based on your architecture. In the example below, the 64-bit version is installed. We confirm it’s executable and in our $PATH
by checking the version (1.4 or higher should be fine):
# cd /usr/bin
# wget http://stedolan.github.io/jq/download/linux64/jq
# chmod +x jq
# jq --version
Dataverse uses ImageMagick to generate thumbnail previews of PDF files. This is an optional component, meaning that if you don’t have ImageMagick installed, there will be no thumbnails for PDF files, in the search results and on the dataset pages; but everything else will be working. (Thumbnail previews for non-PDF image files are generated using standard Java libraries and do not require any special installation steps).
On a Red Hat and similar Linux distributions, you can install ImageMagick with something like:
# yum install ImageMagick
(most RedHat systems will have it pre-installed).
When installed using standard yum
mechanism, above, the executable for the ImageMagick convert utility will be located at /usr/bin/convert
. No further configuration steps will then be required.
On MacOS you can compile ImageMagick from sources, or use one of the popular installation frameworks, such as brew.
If the installed location of the convert executable is different from /usr/bin/convert
, you will also need to specify it in your Glassfish configuration using the JVM option, below. For example:
<jvm-options>-Ddataverse.path.imagemagick.convert=/opt/local/bin/convert</jvm-options>
(see the Configuration section for more information on the JVM options)
Dataverse uses R to handle tabular data files. The instructions below describe a minimal R installation. It will allow you to ingest R (.RData) files as tabular data; to export tabular data as .RData files; and to run Data Explorer (specifically, R is used to generate .prep metadata files that Data Explorer uses). R can be considered an optional component, meaning that if you don’t have R installed, you will still be able to run and use Dataverse - but the functionality specific to tabular data mentioned above will not be available to your users. Note that if you choose to also install TwoRavens, it will require some extra R components and libraries. Please consult the instructions in the TowRavens section of the Installation Guide.
Can be installed with yum:
yum install R-core R-core-devel
EPEL distribution is strongly recommended. The version of R currently available from epel6 and epel7 is 3.5; it has been tested and is known to work on RedHat and CentOS versions 6 and 7.
If yum isn’t configured to use EPEL repositories ( https://fedoraproject.org/wiki/EPEL ):
RHEL/CentOS users can install the RPM epel-release. For RHEL/CentOS 7:
yum install https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm
RHEL/CentOS users can install the RPM epel-release. For RHEL/CentOS 6:
yum install https://dl.fedoraproject.org/pub/epel/epel-release-latest-6.noarch.rpm
RHEL users will want to log in to their organization’s respective RHN interface, find the particular machine in question and:
The following R packages (libraries) are required:
R2HTML
rjson
DescTools
Rserve
haven
Install them following the normal R package installation procedures. For example, with the following R commands:
install.packages("R2HTML", repos="https://cloud.r-project.org/", lib="/usr/lib64/R/library" )
install.packages("rjson", repos="https://cloud.r-project.org/", lib="/usr/lib64/R/library" )
install.packages("DescTools", repos="https://cloud.r-project.org/", lib="/usr/lib64/R/library" )
install.packages("Rserve", repos="https://cloud.r-project.org/", lib="/usr/lib64/R/library" )
install.packages("haven", repos="https://cloud.r-project.org/", lib="/usr/lib64/R/library" )
Dataverse uses Rserve to communicate to R. Rserve is installed as a library package, as described in the step above. It runs as a daemon process on the server, accepting network connections on a dedicated port. This requires some extra configuration and we provide a script (scripts/r/rserve/rserve-setup.sh) for setting it up. Run the script as follows (as root):
cd <DATAVERSE SOURCE TREE>/scripts/r/rserve
./rserve-setup.sh
The setup script will create a system user rserve that will run the daemon process. It will install the startup script for the daemon (/etc/init.d/rserve), so that it gets started automatically when the system boots. This is an init.d-style startup file. If this is a RedHat/CentOS 7 system, you may want to use the systemctl-style file rserve.service instead. (Copy it into the /usr/lib/systemd/system/ directory)
Note that the setup will also set the Rserve password to “rserve”. Rserve daemon runs under a non-privileged user id, so there’s not much potential for security damage through unauthorized access. It is however still a good idea to change the password. The password is specified in /etc/Rserv.pwd. You can consult Rserve documentation for more information on password encryption and access security.
You should already have the following 4 JVM options added to your domain.xml by the Dataverse installer:
<jvm-options>-Ddataverse.rserve.host=localhost</jvm-options>
<jvm-options>-Ddataverse.rserve.port=6311</jvm-options>
<jvm-options>-Ddataverse.rserve.user=rserve</jvm-options>
<jvm-options>-Ddataverse.rserve.password=rserve</jvm-options>
If you have changed the password, make sure it is correctly specified in the dataverse.rserve.password option above. If Rserve is running on a host that’s different from your Dataverse server, change the dataverse.rserve.host option above as well (and make sure the port 6311 on the Rserve host is not firewalled from your Dataverse host).
Now that you have all the prerequisites in place, you can proceed to the Installation section.