Upgrade your Python version

If you are on ThoughtSpot-managed CentOS hosted on AWS, Azure, or GCP, your ThoughtSpot cluster comes with Python 3.9 by default. You do not need to upgrade your Python version; ThoughtSpot does not support any Python version other than Python 3.9 for ThoughtSpot-managed CentOS clusters hosted on AWS, Azure, or GCP that are on 8.4.1.sw.

If you are on customer-managed RHEL or customer-managed OEL, or ThoughtSpot-managed CentOS hosted on VMware, SMC, or Dell, Python 3.6 is still the default version. If you are on customer-managed Amazon Linux 2, Python 3.7 is still the default version. If you are on customer-managed RHEL or Amazon Linux 2, you can upgrade to Python 3.9.

Supported Python versions

ThoughtSpot supports use of the following versions of Python 3 for deployment. Python 3.7 is the current default version for customer-managed Amazon Linux 2. Python 3.9 is the default version for ThoughtSpot-managed CentOS hosted on AWS, Azure, and GCP. Python 3.6 is the default version for customer-managed RHEL, customer-managed OEL, and ThoughtSpot-managed CentOS hosted on VMware, SMC, and Dell.

Upgrade your Python version

After you create the cluster, upgrade your Python version to Python 3.9.

To upgrade your Python version, follow these steps:

  1. ssh into a node as an admin user.

    ssh admin@<node-IP>

  2. Run the following command to stop your cluster:

    tscli cluster stop

  3. Ensure that the version of Python you want to use is ThoughtSpot-certified for your deployment type. ThoughtSpot does NOT certify Python 3.9 for customer-managed OEL or ThoughtSpot-managed CentOS for VMware, SMC, or Dell.

  4. Install Python version 3.9.

  5. Navigate to the correct location to run the command:

    cd /usr/local/scaligent/release/

  6. Run the following command on all nodes, at /usr/local/scaligent/release/ for each node:

    PATH=/usr/pgsql-11/bin:$PATH pip3 install -r production/prod_image/current/pip_packages/requirements_no_versions.txt --upgrade

  7. Run the following command to start your cluster again:

    tscli cluster start
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