DataJoint for MATLAB is a high-level programming interface for relational databases designed to support data processing chains in science labs. DataJoint is built on the foundation of the relational data model and prescribes a consistent method for organizing, populating, and querying data.
For more information, see our general DataJoint docs and DataJoint MATLAB docs.
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- Create an
.envwith desired development environment values e.g.
MATLAB_USER=rguzman
MATLAB_LICENSE=IyBCRUd... # For image usage instructions see https://github.com/guzman-raphael/matlab, https://hub.docker.com/r/raphaelguzman/matlab
MATLAB_VERSION=R2019a
MATLAB_HOSTID=XX:XX:XX:XX:XX:XX
MATLAB_UID=1000
MATLAB_GID=1000
MYSQL_TAG=5.7
MINIO_VER=RELEASE.2022-01-03T18-22-58Zcp local-docker-compose.yaml docker-compose.yamldocker-compose up(Note configuredJUPYTER_PASSWORD)- Select a means of running MATLAB e.g. Jupyter Notebook, GUI, or Terminal (see bottom)
- Add
testsdirectory to path e.g. in MATLAB,addpath('tests') - Run desired tests. Some examples are as follows:
| Use Case | MATLAB Code |
|---|---|
| Run all tests | run(Main) |
| Run one class of tests | run(TestTls) |
| Run one specific test | runtests('TestTls/TestTls_testInsecureConn') |
| Run tests based on test name | import matlab.unittest.TestSuite;import matlab.unittest.selectors.HasName;import matlab.unittest.constraints.ContainsSubstring;suite = TestSuite.fromClass(?Main, ... HasName(ContainsSubstring('Conn')));run(suite) |
- Navigate to
localhost:8888 - Input Jupyter password
- Launch a notebook i.e.
New > MATLAB
- Shell into
datajoint-matlab_app_1i.e.docker exec -it datajoint-matlab_app_1 bash - Launch Matlab by running command
matlab
- Shell into
datajoint-matlab_app_1i.e.docker exec -it datajoint-matlab_app_1 bash - Launch Matlab with no GUI by running command
matlab -nodisplay