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Writing Schema

Overview

In ytt, before a Data Value can be used in a template, it must be declared. This is typically done via Data Values Schema.

This guide shows how to write such schema.

(For a broader overview of Data Values, see Using Data Values).

Starting a Schema Document

One writes Data Values Schema in a YAML document annotated with #@data/values-schema:

#@data/values-schema
---
#! Schema contents

Files containing Schema documents are included via the --file/-f flag.

$ ytt ... -f schema.yml ...

The contents of such a document are the Data Values being declared.

Declaring Data Values

Each item in the schema document declares a Data Value.

A Data Value declaration has three (3) parts: a name, a default value, and a type.

For example,

#@data/values-schema
---
system_domain: ""

declares the Data Value, with the name system_domain to be of type string with the default value of an empty string (i.e. "").

Implying Types

In ytt Schema types of Data Values are inferred from the values given. So, when one writes schema, they are implying the type of each Data Value through the default value they give.

For example:

#@data/values-schema
---
system_domain: ""

load_balancer:
  enabled: true
  static_ip: ""

app_domains:
- ""

databases:
- name: ""
  adapter: postgresql
  host: ""
  port: 5432
  user: admin
  secretRef:
    name: ""

effectively declares the following data values:

  • system_domain — a string
  • load_balancer — a map containing two items:
    • enabled — a boolean
    • static_ip — a string
  • app_domains — an array of strings (and only strings)
  • databases — an array where each element is a map. Each map has exactly six items:
    • name — a string
    • adapter — a string
    • host — a string
    • port — an integer
    • user — a string
    • secretRef — a map having exactly one item:
      • name — a string

(see Data Values Schema Reference: Types for details.)

Setting Default Values

In ytt Schema, the default value for a Data Value is almost always simply the value specified.

From the example, above, the corresponding Data Values have the following defaults:

  • system_domain is empty string (i.e. []),
  • load_balancer.enabled is true, and
  • load_balancer.static_ip initializes to empty string.

For details on how to set individual default values, see Data Values Schema Reference: Default Values.

Special Case: Arrays

There is one exception: arrays. As described in Data Values Schema Reference: Defaults for Arrays, the default value for arrays, by default, is an empty list (i.e. []). That said, when an item is added to the array, that item’s value is defaulted as defined in the schema.

In the example, above, the definition of databases is an array. Each item in that array is a map with six keys including adapter, port, etc.

database starts out as an empty list. Then, as each item added to it, they will be defaulted with the values given in the schema.

Continuing with our example schema, above, if a Data Values overlay gives an actual value for the array:

#@data/values
---
databases:
- name: core
  host: localhost

That item will be filled-in with defaults:

name: core
adapter: postgresql
host: localhost
port: 5432
user: admin
secretRef:
  name: ""

In order to override the default of the array, itself, within schema see Setting a Default Value for Arrays.

Constraining values with Validations

To learn about writing schema validations, please refer to How to Write Schema Validations
To get started quickly - Schema validations Cheat Sheet

Specific Use-Cases

A few less common, but real-world scenarios:

Setting a Default Value for an Array

As explained in Data Values Schema Reference: Defaults for Arrays, unlike all other types, the default value for an array is an empty list (i.e. []).

In some cases, it is useful to provide a non-empty default value for an array. To do so, one uses the @schema/default annotation.

For example, with this schema:

#@data/values-schema
---
#@schema/default ["apps.cf-apps.io", "mobile.cf-apps.io"]
app_domains:
- ""

The default value for app_domains will be ["apps.cf-apps.io", "mobile.cf-apps.io"].

See also: @schema/default.

Marking a Data Value as Optional

Sometimes, it can be useful to define a section of Data Values as optional. This typically means that templates that rely on those values conditionally include output that use the contained value.

For example, the following template:

#@ load("@ytt:data", "data")
---
...
spec:
  #@ if data.values.load_balancer:
  loadBalancerIP: #@ data.values.load_balancer.static_ip
  #@ end
...

will only include spec.loadBalancerIP if a value is provided for the load_balancer Data Value.

One notes this in Schema using the @schema/nullable annotation:

#@data/values-schema
---
#@schema/nullable
load_balancer:
  static_ip: ""

which indicates that load_balancer is null, by default. However, if a value is provided for load_balancer, it must be the static_ip and have a value that is a string.

For more details see Data Values Schema Reference: @schema/nullable.

Marking a Data Value as Required

In ytt, a data value can be marked as “Required” using schema validations.
Please refer to “Required” Data Values

Allowing Multiple Types of Maps or Arrays

In rare cases, a given Data Value needs allow more than one type.

Currently, ytt Schema does not explicitly support specifying more than one type for a Data Value.

In the meantime, one can mark such Data Values as having any Type:

#@schema/type any=True
int_or_string: ""

so that:

  • int_or_string is, by default, an empty string
  • it can accept an integer or a string … or any other type,
  • and the value of int_or_string and its children is not checked by schema.

If it is critical to ensure that the type of int_or_string to be only an integer or string, one can include a validating library that does so explicitly:

load("@ytt:assert", "assert")
load("@ytt:data", "data")

if type(data.value.int_or_string) not in ("int", "string"):
  assert.fail("'int_or_string' must be either an integer or a string.")
end

Declaring “Pass-through” Data Values

In certain cases, one designs a Data Value to carry a chunk of YAML whose exact type or shape is unimportant to templates. In these situations, it is undesirable for that chunk of YAML to be type-checked.

One can effectively disable schema type checking and defaulting by marking the Data Value as of type “any”:

#@data/values-schema
---
honeycomb:
  enabled: false
  api_key: so124me14v4al1i5da5p5i180key
  #@schema/type any=True
  optional_config: null

Here, additional_config can contain any valid YAML.

For example:

#@data/values
---
honeycomb:
  optional_config:
    default_series:
      id: 1001
      description: Administrative Actions

In a template, the Data Value can be referenced and its contents will be inserted:

#@ load("@ytt:data", "data")
---
#@ if/end data.values.honeycomb.enabled:
honeycomb:
  config:
    api_key: #@ data.values.honeycomb.api_key    
    #@ if/end data.values.honeycomb.optional_config:
    optional: #@ data.values.honeycomb.optional_config

Next Steps

Once you’ve declared your Data Values, they can be referenced in ytt templates as described in Using Data Values > Referencing Data Values

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