$SERVICE_BINDING_ROOT (1) ├── account-database (2) │ ├── type (3) │ ├── provider (4) │ ├── uri │ ├── username │ └── password └── transaction-event-stream (2) ├── type ├── connection-count ├── uri ├── certificates └── private-key
This section provides information on how you can consume the binding data.
After the backing service exposes the binding data, for a workload to access and consume this data, you must project it into the workload from a backing service. Service Binding Operator automatically projects this set of data into the workload in the following methods:
By default, as files.
As environment variables, after you configure the .spec.bindAsFiles
parameter from the ServiceBinding
resource.
By default, Service Binding Operator mounts the binding data as files at a specific directory in your workload resource. You can configure the directory path using the SERVICE_BINDING_ROOT
environment variable setup in the container where your workload runs.
$SERVICE_BINDING_ROOT (1) ├── account-database (2) │ ├── type (3) │ ├── provider (4) │ ├── uri │ ├── username │ └── password └── transaction-event-stream (2) ├── type ├── connection-count ├── uri ├── certificates └── private-key
1 | Root directory. |
2 | Directory that stores the binding data. |
3 | Mandatory identifier that identifies the type of the binding data projected into the corresponding directory. |
4 | Optional: Identifier to identify the provider so that the application can identify the type of backing service it can connect to. |
To consume the binding data as environment variables, use the built-in language feature of your programming language of choice that can read environment variables.
import os username = os.getenv("USERNAME") password = os.getenv("PASSWORD")
The following table summarizes the configuration of how the final path for the binding data projection is computed when files are mounted at a specific directory:
SERVICE_BINDING_ROOT |
Final path |
---|---|
Not available |
|
|
|
In the previous table, the <ServiceBinding_ResourceName>
entry specifies the name of the ServiceBinding
resource that you configure in the .metadata.name
section of the custom resource (CR).
To access and consume the binding data within the existing SERVICE_BINDING_ROOT
environment variable, use the built-in language feature of your programming language of choice that can read environment variables.
from pyservicebinding import binding try: sb = binding.ServiceBinding() except binding.ServiceBindingRootMissingError as msg: # log the error message and retry/exit print("SERVICE_BINDING_ROOT env var not set") sb = binding.ServiceBinding() bindings_list = sb.bindings("postgresql")
In the previous example, the bindings_list
variable contains the binding data for the postgresql
database service type.
Depending on your workload requirements and environment, you can choose to project the binding data either as files or environment variables.
You understand the following concepts:
Environment and requirements of your workload, and how it works with the provided services.
Consumption of the binding data in your workload resource.
Configuration of how the final path for data projection is computed for the default method.
The binding data is exposed from the backing service.
To project the binding data as files, determine the destination folder by ensuring that the existing SERVICE_BINDING_ROOT
environment variable is present in the container where your workload runs.
To project the binding data as environment variables, set the value for the .spec.bindAsFiles
parameter to false
from the ServiceBinding
resource in the custom resource (CR).