Installation guide

Supported platforms and devices

  • i.MX 8 with CCL 4.2 or newer

    • CCpilot V510

    • CCpilot V700

    • CCpilot V705

    • CCpilot V710

    • CCpilot V1000

    • CCpilot V1200

  • Core i7 with CCL 4.2 or newer

    • CCpilot X1200

  • LinX Software Suite DevEnv

    • v5

    • v6

Installing Data Engine

CCL 4

Dataengine can be installed on the target in two different ways. For production use should be installed on the target through a RACU bundle. For development / testing dataengine can be installed on the target manually by manually unlocking appfs and unpacking it under appfs.

i.MX 8

RAUC bundle

Please reference the CC Linux - Using RAUC documentation on the support web site for more information about how to generate a RAUC bundle.

Unlock /appfs for development/testing

  1. Open an ssh session to the target: ssh ccs<ip-address>

  2. Change write permissions of /appfs: sudo mount -o remount,rw /appfs

  3. Check which version partition /appfs is mounted to: rauc status

  4. Unmount /appfs: sudo umount /appfs

  5. Format the partition: sudo mkfs.ext4 /dev/<partition>

  6. Remount /appfs: sudo mount /dev/<partition> /appfs

Unpacking tarball

  1. Download the tarball, dataengine-ccl4_<version>_<TARGET>.tar.gz, from the support site.

  2. Transfer the tar.gz package to device: scp dataengine-ccl4_<version>_<TARGET>.tar.gz ccs@<ip-address>:/tmp

  3. Open an ssh session to the target: ssh ccs@<ip-address>

  4. Change directory to /tmp: cd /tmp

  5. Run the following code to unpack it: sudo tar xzf dataengine-ccl4_<version>_<TARGET>.tar.gz -C /appfs

  6. Data Engine will not automatically start at boot. See Service management.

Core i7

  1. Download the tarball, dataengine-ccl4_<version>_<TARGET>.tar.gz, from the support site.

  2. Follow steps 2-6 from i.MX 8.

LinX Software Suite DevEnv v5/v6

These steps are intended to be performed in the UX Designer VM.

  1. Download dataengine_<version>_amd64.deb from the support site

  2. Double-click on the package to open it with GDebi

  3. Follow the instructions to install the package

It’s also possible to install the package using the terminal:

sudo apt install ./dataengine_<version>_amd64.deb

Troubleshooting

Please refer to our Knowledge Base for further information and troubleshooting guides.