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Documents
All configuration data is stored entirely as structured documents, for which schemas must be registered. Documents satisfy the following use cases:
- layering - helps reduce duplication in configuration while maintaining auditability across many sites
- substitution - provides separation between secret data and other configuration data, while allowing a simple interface for clients
- revision history - improves auditability and enables services to provide functional validation of a well-defined collection of documents that are meant to operate together
- validation - allows services to implement and register different kinds of validations and report errors
Detailed documentation for layering, substitution, revision-history and validation should be reviewed for a more thorough
understanding of each concept.
Document Format
The document format is modeled loosely after Kubernetes practices.
The top level of each document is a dictionary with 3 keys:
schema, metadata, and data.
schema- Defines the name of the JSON schema to be used for validation. Must have the form:<namespace>/<kind>/<version>, where the meaning of each component is:namespace- Identifies the owner of this type of document. The valuesdeckhandandmetadataare reserved for internal use.kind- Identifies a type of configuration resource in the namespace.version- Describe the version of this resource, e.g.v1.
metadata- Defines details that Deckhand will inspect and understand. There are multiple schemas for this section as discussed below. All the various types of metadata include ametadata.namefield which must be unique for each documentschema.data- Data to be validated by the schema described by theschemafield. Deckhand only interacts with content here as instructed to do so by themetadatasection. The form of this section is considered to be completely owned by thenamespacein theschema.
At the database level, documents are uniquely identified by the combination of:
metadata.nameschemametadata.layeringDefinition.layer
This means that raw revision documents -- which are persisted in Deckhand's database -- require that the combination of all 3 parameters be unique.
However, post-rendered documents are only uniquely identified by the combination of:
metadata.nameschema
Because collisions with respect to the third parameter
--metadata.layeringDefinition.layer -- can only occur with
replacement. But after
document rendering, the replacement-parent documents are never
returned.
Below is a fictitious example of a complete document, which
illustrates all the valid fields in the metadata
section:
---
schema: some-service/ResourceType/v1
metadata:
schema: metadata/Document/v1
name: unique-name-given-schema
storagePolicy: cleartext
labels:
genesis: enabled
master: enabled
layeringDefinition:
abstract: true
layer: region
parentSelector:
required_key_a: required_label_a
required_key_b: required_label_b
actions:
- method: merge
path: .path.to.merge.into.parent
- method: delete
path: .path.to.delete
substitutions:
- dest:
path: .substitution.target
src:
schema: another-service/SourceType/v1
name: name-of-source-document
path: .source.path
data:
path:
to:
merge:
into:
parent:
foo: bar
ignored:
data: here
substitution:
target: nullDocument Metadata
There are 2 supported kinds of document metadata. Documents with
Document metadata are the most common, and are used for
normal configuration data. Documents with Control metadata
are used to customize the behavior of Deckhand.
schema: metadata/Document/v1
This type of metadata allows the following metadata hierarchy:
name- string, required - Unique within a revision for a givenschemaandmetadata.layeringDefinition.layer.storagePolicy- string, required - Eithercleartextorencrypted. Ifencyrptedis specified, then thedatasection of the document will be stored in a secure backend (likely via OpenStack Barbican).metadataandschemafields are always stored in cleartext. More information on document encryption is availablehere <encryption>.layeringDefinition- dict, required - Specifies layering details. See the Layering section below for details.abstract- boolean, required - An abstract document is not expected to pass schema validation after layering and substitution are applied. Non-abstract (concrete) documents are.layer- string, required - References a layer in theLayeringPolicycontrol document.parentSelector- labels, optional - Used to construct document chains for executing merges.actions- list, optional - A sequence of actions to apply this documents data during the merge process.method- string, required - How to layer this content.
path- string, required - What content in this document to layer onto parent content.
substitutions- list, optional - A sequence of substitutions to apply. See the Substitutions section for additional details.dest- dict, required - A description of the inserted content destination.path- string, required - The JSON path where the data will be placed into thedatasection of this document.pattern- string, optional - A regex to search for in the string specified atpathin this document and replace with the source data
src- dict, required - A description of the inserted content source.schema- string, required - Theschemaof the source document.name- string, required - Themetadata.nameof the source document.path- string, required - The JSON path from which to extract data in the source document relative to itsdatasection.
schema: metadata/Control/v1
This schema is the same as the Document schema, except
it omits the storagePolicy,
layeringDefinition, and substitutions keys, as
these actions are not supported on Control documents.
The complete list of valid Control document kinds is
specified below along with descriptions of each document kind.
Document Abstraction
Document abstraction can be compared to an abstract class in programming languages: The idea is to declare an abstract base class used for declaring common data to be overridden and customized by subclasses. In fact, this is the predominant use case for document abstraction: Defining base abstract documents that other concrete (non-abstract) documents can layer with.
An abstract document is a document whose
metadata.abstract property is True. A concrete document is
a document whose metadata.abstract property is False.
Concrete and non-abstract are terms that are used interchangeably.
In Deckhand, document abstraction has certain implications:
- An abstract document, like all other documents, will be persisted in
Deckhand's database and will be subjected to
revision-history. - However, abstract documents are not returned by
Deckhand's
rendered-documentsendpoint: That is, rendered documents never include abstract documents. - Concrete documents can layer with abstract documents -- and this is encouraged.
- Abstract documents can layer with other documents as well -- but unless a concrete document layers with or substitutes from the resultant abstract document, no meaningful data will be returned via rendering, as only concrete documents are returned.
- Likewise, abstract documents can substitute from other documents. The same reasoning as the bullet point above applies.
- However, abstract documents cannot be used as substitution sources. Only concrete documents may be used as substitution sources.