By default, Looker uses a HyperSQL in-memory database to store its configuration, users, and other data. On a busy instance this database can grow to be gigabytes in size, which can lead to performance issues, Java memory pressure, and long startup times.
Looker recommends that you replace the HyperSQL database with a full MySQL database backend when the internal HyperSQL database exceeds 600 MB in size. To check the size of the HyperSQL database, view the size of the
Look at the size of the
looker.script file. If it exceeds 600 MB in size, follow the procedures below to migrate to an external MySQL database.
This procedure assumes a deployment in AWS EC2. For local deployments, systems should be sized comparably to the equivalent AWS instances.
Provision a MySQL Instance
Provision a MySQL 5.7.x instance to use as the backend. Looker requires MySQL version 5.7.x because prior versions do not support UTF8mb4 encoding.
In AWS RDS, an instance of class
db.m3.medium is probably sufficient as a backend for a single Looker instance. Even though the database’s actual usage will likely be in the 5-10 GB range, it’s a good idea to provision 100-150 GB of SSD storage because the provisioned IOPS is based on the amount of storage requested.
max_allowed_packet size for version 5.7 is 4 MB. This setting is too small for database migration and can cause the migration to fail. Set
max_allowed_packet to the maximum allowed value of
In addition, set the following default parameters in order to use UTF8mb4, which supports UTF8 character sets. See this article for information about why Looker recommends using UTF8mb4 — not UTF8 — with MySQL.
On Amazon RDS instances, this setting can be applied by creating or modifying a parameter group and editing the appropriate settings. We recommend that you copy the current parameter group and make the changes on the copy, especially if you are sharing parameter groups across several RDS instances. After saving the parameter group, apply it to the RDS instance. A reboot may be required.
Set Your Replica Scheme
Looker relies on functionality that necessitates a
row binlog. If you are hosting your own MySQL instance, set your
row by issuing one of the following commands:
Create a Database Credentials File
Looker needs to know which MySQL database to talk to and which credentials to use. In the Looker directory, create a file named
looker-db.yml with the following contents, replacing
<DB_name> with values for your database:
If your MySQL database requires an SSL connection, add the following line to
Create a Database and User
Create a user and db on the database instance, replacing
<DB_password> with the actual values for the user and db. Also replace
<DB_collation> with the chosen character set and collation that matches the RDS instance param group settings (for true UTF8 support, we recommend
looker_tmp database on the last line doesn’t have to actually exist, but the
grant statement is needed for internal reporting.
Back up the
.db folder, which contains the files needed to build the in-memory HyperSQL database, in case you need to restore HyperSQL:
Migrate the Database
Migrating the database to MySQL can take hours on a medium or large instance, especially if the HyperSQL database is 1 GB or more. We recommend that you temporarily upgrade the instance to an
m3.2xl (with 30 GB RAM to allow the 26 GB heap specified below) during the migration, which reduces the time required to ~10 minutes.
On the Looker host:cd looker ./looker stop vi looker
In the Looker startup script, make a new second line in the file:exit
Stop the instance in the AWS console. Once it stops, change the instance size to
m3.2xl. Then start it back up again.
SSH to the host as the Looker user. Make sure Java isn’t running and then run:cd looker java -Xms26000m -Xmx26000m -jar looker.jar migrate_internal_data looker-db.yml
When running the
libcryptmay not be found and a stack trace will appear, starting with this:NotImplementedError: getppid unsupported or native support failed to load ppid at org/jruby/RubyProcess.java:752 ppid at org/jruby/RubyProcess.java:749
If this happens, set the
LD_LIBRARY_PATHmanually before executing the Java command:export LD_LIBRARY_PATH=$HOME/looker/.tmp/:$LD_LIBRARY_PATH
Once that successfully completes, stop the instance from the AWS console.
You can now restore the instance to its original size.
Start the instance again.
Edit the Looker startup script and delete the
exitline you added earlier.
Ensure there are no arguments defined in LOOKERARGS in the startup script. Instead, any arguments should move to the
lookerstart.cfgfile so they will not be overwritten by new versions of the startup script. Save and exit the startup script.
lookerstart.cfg. It should look similar to the following:LOOKERARGS="-d looker-db.yml"
If there were any other arguments in the Looker startup script, add them to the
.dbdirectory, if it is not archived already.mv .db .db-backup tar -zcvf db-backup.tar.gz ./.db-backup rm -rf ./.db-backup/
Start Looker:./looker start
Verify That Looker Is Using the New Database
If Looker is successfully using the backend MySQL, you should see network connections between the Looker instance and the new database instance. To check this, run the following command on the Looker instance:
You should see some connections to the database instance. Below is a sample output, showing a DB instance at IP address
Backing Up Looker
After you migrate to a MySQL backend, Looker’s automated S3 backups will no longer function. Looker recommends running at least nightly backups of the MySQL database, and nightly file system backups of the Looker working directory. The
looker/log/ directory may be excluded from the file system backups. See the Creating Backups documentation page for more information.