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This page is for data modellers who need to provide securely-stored credentials to access data via HTTP.
Overview
When importing data via HTTP, you sometimes need to provide authentication to an external site. There are several options for how to store and then reference the username and password; see Authenticating for an API. One option is to use the HTTP datasource properties → Secret Key section to create a key associated with the username or password, which is encrypted and stored in the PhixFlow database.
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Secret Key
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Basic Settings
Field | Description | ||||||||
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Name | Enter a name.
${_datasource.key} . | ||||||||
Key | Read-only. When you save the secret key, PhixFlow automatically generates a unique key in this field. The key is a combination of the Name and the internal ID of the HTTP datasource.
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to indicate you have completed configuring the secret key and associated local secret value, and it is ready to use. The local secret value may be null.
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Secret | Click
When you save the local secret, PhixFlow displays asterisks here to show that the secret value has been encrypted. To edit a secret value, click
To delete a secret value, click
You can save the secret key without adding a secret. In this case, you must add the secret key and a value to the keystore; see Authenticating for an API and Adding Data to a Keystore. |
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Local Secret
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Field | Description | ||||||||
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Key | Read only. The same automatically-generated key in the secret key paired with this local secret. | ||||||||
Secret | Enter the value that you want to encrypt, such as a password. To switch between displaying or hiding the value, click
PhixFlow encrypts the value when storing it in the database, but when it is required to authenticate to an external site, PhixFlow supplies the unencrypted string. |
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Using a Secret
For HTTP objects connected to the HTTP datasource, you can reference a secret in:
HTTP collectors and HTTP exporters → URL Expression
oror Statement Expression
HTTP Headers Properties
→→ Basic Settings
→→ Value.
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Learn More
For links to all pages in this topic, see Analysis Models for Batch Processing Data.
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