Environment Variables
Overview #
mirrord lets you run a local process in the context of remote environment i.e. environment variables present in the remote pod will be loaded into the local process.
For example, if you want your local process to access a remote database, the connection string configured in the remote pod’s environment variable can be used by your local process.
How does it work? #
mirrord-layer sends a message to mirrord-agent requesting remote environment variables, which are then set before the local process starts.
Usage #
To include/exclude environment variables selectively, use the --override-env-vars-include
flag to include and --override-env-vars-exclude
to exclude with environment variables specified in a semicolon
separated list.
Note: These flags are mutually exclusive. For example, if one chooses to exclude using the
--override-env-vars-exclude
flag, then there is no need to use--override-env-vars-include="*"
to include all other environment variables.
By default, all environment variables are included.
Example #
If on our target pod, we have the environment variable ENV_VAR1
with the value remote-value
and on our local
machine we have ENV_VAR1
with value local-value
, then Running the python interpreter with mirrord would look like
this:
MIRRORD_AGENT_IMAGE=test MIRRORD_AGENT_RUST_LOG=trace RUST_LOG=debug target/debug/mirrord exec -c --target pod/py-serv-deployment-ff89b5974-x9tjx python3
Python 3.9.13 (v3.9.13:6de2ca5339, May 17 2022, 11:23:25)
[Clang 6.0 (clang-600.0.57)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import os
>>> print(os.environ['ENV_VAR1'])
remote-value
Logs
❯ MIRRORD_AGENT_IMAGE=test MIRRORD_AGENT_RUST_LOG=trace RUST_LOG=debug target/debug/mirrord exec -c --target pod/py-serv-deployment-ff89b5974-x9tjx python3
...
2022-07-01T17:18:33.744996Z DEBUG mirrord_layer: ClientMessage::GetEnvVarsRequest codec_result Ok(
(),
)
2022-07-01T17:18:33.754270Z DEBUG mirrord_layer: DaemonMessage::GetEnvVarsResponse Ok(
{
"KUBERNETES_PORT": "tcp://10.96.0.1:443",
"LANG": "C.UTF-8",
"KUBERNETES_SERVICE_PORT": "443",
"PY_SERV_PORT": "tcp://10.96.139.36:80",
"KUBERNETES_PORT_443_TCP": "tcp://10.96.0.1:443",
"PY_SERV_SERVICE_PORT": "80",
"KUBERNETES_SERVICE_PORT_HTTPS": "443",
"PYTHON_SETUPTOOLS_VERSION": "58.1.0",
"PY_SERV_PORT_80_TCP_ADDR": "10.96.139.36",
"PYTHON_GET_PIP_SHA256": "ba3ab8267d91fd41c58dbce08f76db99f747f716d85ce1865813842bb035524d",
"ENV_VAR1": "remote-value",
"KUBERNETES_SERVICE_HOST": "10.96.0.1",
"KUBERNETES_PORT_443_TCP_PORT": "443",
"HOSTNAME": "py-serv-deployment-ff89b5974-x9tjx",
"KUBERNETES_PORT_443_TCP_ADDR": "10.96.0.1",
"GPG_KEY": "E3FF2839C048B25C084DEBE9B26995E310250568",
"PYTHON_GET_PIP_URL": "https://github.com/pypa/get-pip/raw/6ce3639da143c5d79b44f94b04080abf2531fd6e/public/get-pip.py",
"PY_SERV_PORT_80_TCP": "tcp://10.96.139.36:80",
"KUBERNETES_PORT_443_TCP_PROTO": "tcp",
"PYTHON_VERSION": "3.9.13",
"PY_SERV_PORT_80_TCP_PROTO": "tcp",
"PY_SERV_PORT_80_TCP_PORT": "80",
"PY_SERV_SERVICE_HOST": "10.96.139.36",
"PYTHON_PIP_VERSION": "22.0.4",
},
)!
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