Json Schema Nullable Field

Json Schema Nullable FieldNullable backing field, non-nullable property There is a pattern you can use in cases where you're obliged to provide a constructor that takes no arguments. nullables Indicates whether JSON schemas derived from objects will use oneOf for nullable fields. The inclusion of Protobuf and JSON Schema applies at producer and consumer libraries, schema registry, Kafka connect,. Json to Avro Conversion for Blob Storage Destinations. JSON Schema Validation Schema itself is an object which has different properties. Personally, to me, it is implied that any non-primitive data type can be null. NET you might start seeing CS8618 warnings complaining that some non-nullable property is uninitialized. A JSON Schema specifying null values is given below. It’s important to remember that in JSON, null isn’t equivalent to something being absent. JSON Documents can be either basic values (strings, numbers, integers, the boolean constants or null), or ordered or unordered list of key:value pairs. For example, ["null", "string"] declares a schema which may be either a null or string. Handling nonexistent, null and multi value type properties in Parse. com/ to generate types from graphql schemas. C# serialization with JsonSchema and System. root |-- value: string ( nullable = true) 2. Click add_box Add field to add the following fields: Field name Type Mode; address: STRING: NULLABLE: city: STRING:. You can argue if it is a good approach or not but ultimately it is sensible. A JSON schema file consists of a JSON array that contains the following: The column's name; The column's data type; Optional: The column's mode (if unspecified, mode defaults to NULLABLE) Optional: The column's fields if it is a STRUCT type. Power Apps Validation and JSON Parsing with Regex; Power Automate SharePoint Get Column Changes; Recent Comments. It lets you specify metadata (data about data) about what an object’s properties mean and what values are valid for those properties. select (to_json ($"title", Map ("ignoreNullFields" -> "false")). 0 and above cannot parse JSON arrays as structs. The value of the keyword should be a JSON Schema. Azure Schema Registry is a feature of Event Hubs, which provides a central repository for schemas for event-driven and messaging-centric applications. append ( { 'type': 'null' }) Full example with it below. You can confirm this by running from_json in FAILFAST mode. type: should be string, so I'm a bit lost. You might need to scroll to see this button. Input: JSON Schema v4 (actually I start from TypeScript, but that doesn't really change too much here) Field: not required, no nullable information (i. Language-specific info: Python Ruby In Python, null is analogous to None. This fails because null is not of type "string", it's of type "null" { "name": "William Shakespeare", "address": "Henley Street, Stratford-upon-Avon, Warwickshire, England", "email": null } Property names ¶ New in draft 6. UPDATE 1: the JSON null value is also not valid: Structural error at components. 0 では null はもっと扱いが難しいものでした。 単なるプロパティでさえも、値が null ならそもそもキーとして含めるなというOASの強い意志を感じます。. description – supports CommonMark syntax for rich text representation. In json-schema fields in the "required" field is mandatory, all others are optional. Don't add the ["string", "null"] changes to the schema until after you have added the fields in any later statements that use the field. Modifying the nullable property and editable property for an existing field is not possible. This new OpenAPI version will be compatible with JSON Schema. You will learn more about adding extra . Note that the first object in array_field originally does not have a message field. ts: export type Maybe < T > = T | null ; export type Scalars = { String : string ; } ; export type CreateTransactionInput = { readonly brokerTradeId ?:. So it generates Json-Schemas with this "nullable" field, which features in their "extended subset of JSON Schema Specification". OpenAPI v3 still does not support null type but added a nullable field in order to say that property is nullable or not. description - supports CommonMark syntax for rich text representation. Personally, to me, it is implied that any non-primitive data type can be null. JSON Schema −. We do this because CRCs ignore leading zero bits, which can be problematic. Don't add the ["string", "null"]. Clear, human- and machine-readable documentation. The Parse JSON step with the above schema returns "Error - Expected String, received null". Now, let's parse the JSON string from the DataFrame column value and convert it into multiple columns using from_json (), This. this outputs the schema from. Representing null in JSON. json schema validator allows null Code Example. Validation Keywords for Any Instance Type. JSON Schema Validation. FWIW, having nullable support out of box like this was a huge draw to AJV. If your schema validates data types for a field, to insert documents with a null value for that field, you must explicitly allow null as a valid BSON type. Use your judgement and make an informed decision. The field type is determined by the type parameter. But the JSON representation of the field can still be entered and it will return the value, either the real one or the null. One of these properties is type. April Dunnam on Power Apps Source Code Tool -. The fragment in the json2 variable is the way the JSON spec indicates null should be represented. The Parse JSON step with the above schema returns "Error - Expected String, received null" Replacing the EndDate data type "string" with "any" causes it to be unreadable in following steps (as though it was never parsed) and changing it to "data" causes an internal server error. JSON), try to push some form of schema or . Which support null type, you just have to add it to your type field as follows:. Therefore, the presence or absence of a decimal point is not enough to. The "Value" property is normally a number but it could also be "null" meaning that the value is "bad". null is not supported as a type, use the nullable: true keyword instead. By default we would keep the 'hidden' behaviour so nothing so the feature wouldn't break anything and wouldn't require a v2 as it's. Protobuf is especially cool, and offers up some neat opportunities beyond what was possible in Avro. For example, this schema validation does not allow documents where storeLocation is null: db. I am generating json schemas from those types, but fields that are nullable does not come out as nullable. StructType is a collection of StructField's that defines column name, column data type, boolean to specify if the field can be nullable or not and metadata. If you also want to allow null values for fb_id, you can set its schema to {"type": ["string", "null"]} You received this. Understanding JSON Schema Compatibility. The only way to extend this schema to prohibit additional properties is by adding additionalProperties keyword right in the schema - this approach can be impossible if you do. It is a Built-in datatype that contains the list of StructField. If a service that is imported into the API contains nullable fields, as shown in the following example with "type": ["null", "string"] , the first supported type (in this example, "string" ) is used, and only the Remove transform is allowed in the. Understanding JSON Schema Compatibility. Confluent Schema Registry provides a centralized repository for an organization’s schemas and a version history of the schemas as they evolve over time. Values when specifying your json schema nullable field as an expression fails to do the valid if one. You still can use nullable field but it will be deprecated in favor of JSON Schema null type. The most basic schema is a blank JSON object, which constrains nothing, allows anything, and describes nothing: {} You can apply constraints on an instance by adding validation keywords to the schema. I'm not sure how I should go about that. In the following example, the User model has an optional Json field named extendedPetsData: model User { id Int @id @default(autoincrement()) email String @unique name String? posts Post[]. This form defines a homogenous array of any size (possibly empty) with the elements that satisfy a given schema. The above schema must be modified, especially the exclusiveMinimum field, which is now an number. Enquote the null in the schema: "type": ["string", "null"] You can read about that in the json schema validation documentation, i. Environment And Climate Change. If a service that is imported into the API contains nullable fields, as shown in the. This defines the name, datatype, and nullable flag for each column. Would give something like : df. You can argue if it is a good approach or not but ultimately it. Nullable validation fails · Issue #533 · python. You can declare a property as non-nullable, but use a nullable backing field for it, and then throw exceptions to ensure that it honours its assertion of non-nullness:. (Note that when a default value is specified for a record field whose type is a union, the type of the default value must match the first element of the union. Cumulatively JSON Schema acts as a meta-document that can be used to define the required type and constraints on property values, . The type keyword may either be a string or an array: If it's a string, it is the name of one of the basic types above. Encode the data in BINARY format instead of JSON format. No, not needed in json-schema. Example 5: Defining Dataframe schema using. Start using fluent-json-schema in your project by running `npm i JSON Schema nullable. Thanks! Definitely a bummer to see OpenAPI and JSON Schema. This returns null values on Spark 3. proto#L17 allows null values for all properties. schema(my_schema). JSON Schema Examples Tutorial. Handling the null type in JSON schema Swagger 2. 0 is chosen we add nullable: true for the nullables fields in the schema. Validate schema when sending or receiving events. Learn how optional and nullable properties can be used flexibly in Let's look at the Profile JSON schema again, where the attribute . However, because its schema is merged with the second object definition, it has a null message field in. Specifying a JSON schema file. By clicking " Use sample payload to generate the schema" link, a little window like below will pop up and we will be able to generate the Schema based on the input JSON that we want to parse. NET To Validate JSON with JSON Schema. json(data_path) df. json schema string or null Code Example. Solved: Parse JSON, accept null values to schema. 1 Answer Sorted by: 20 In general Spark Datasets either inherit nullable property from its parents, or infer based on the external data types. Before Draft 7, you can express an "if-then" conditional using the Schema Composition keywords and a boolean algebra concept called "implication". Json Schema Nullable Field. from enum import Enum from pydantic import BaseModel, Field class . Unions, as mentioned above, are represented using JSON arrays. StructType object is the collection of StructFields objects. A source data schema is a user's JSON data sample used to describe the JSON data format. The Nullable decorator is used allow a null value on a field while preserving the original Typescript . And it will be included in the generated JSON Schema. They share the same validation keywords. This fails because null is not of type “string”, it’s of type “null” { "name" : "William. mongoose nullable. Pydantic allows auto creation of JSON Schemas from models: Python 3. I'm still learning Typescript, but I think json-schema-to-zod currently uses JSONSchema7 coming from @types/json-schema, which does not mention this "nullable" field. Given a spec with a nullable=True property and data with an explicit null value, the validation fails if there's no schemas property. But as always, it depends on what you're doing -- sometimes the "right" way to do it doesn't always work for your situation. By default, Spark infers the schema from the data, however, sometimes we may need to define our own schema (column names and data types), especially while working with. because the nullable: true field is not a standard JSON schema, it is a OpenAPI specification. In a field type context, optional () is available and creates a union of null and a type, with a null default. Validation for null Field Values Your application may be configured to set missing field values to null, instead of not including those fields in the object sent to the collection. In this case, the length of the response Array will be used. The data is valid if it matches exactly one JSON Schema from this array. · When the key is not provided, and the value is . If a service that is imported into the API contains nullable fields, as shown in the following example with "type": ["null", "string"] , the first supported type (in this example, "string" ) is used, and only the Remove transform is allowed in the. Power Apps Validation and JSON Parsing with Regex; Power Automate SharePoint Get Column Changes; Recent Comments. js and TypeScript Framework on top of Express/Koa. Answers related to “json schema string or null”. If it is an array, it must be an array of strings, where each string is. Validation Keywords for Any Instance. json"); var json = await JsonDocument. com/hypertrace/agent-config/blob/main/config. Numeric types — Understanding JSON Schema 2020. schema: {type: "number", not: {minimum: 3}} valid: 1, 2. A JSON schema file consists of a JSON array that contains the following: The column's name; The column's data type; Optional: The column's mode (if unspecified, mode defaults to NULLABLE). This is because you require fb_id be a string, and null is not a string. The Parse JSON step with the above schema returns "Error - Expected String, received null". properties({ "schema": null }); . Working with Json fields Use the Json Prisma field type to read, write, and perform basic filtering on JSON types in the underlying database. Click add_box Add field to add the following fields: Alternatively, click Edit. Empty JTD schema defines the data instance that can be of any type, including JSON null (even if nullable member is not present). In the Explorer panel, expand your project and dataset, then select the table. The type keyword may either be a string or an array: If it’s a string, it is the name of one of the basic types above. total setting may be omitted when the Grid is bound to a plain Array (that is, the data items' collection is not a value of a field in the server response). A -> B (pronounced, A implies B) means that if A is true, then B must also be true. You received this message because you are subscribed to the Google Groups "jsonschema - An implementation of JSON Schema for Python" group. format – OpenAPI has its own predefined formats and also allows custom formats. Therefore, we can formulate a total of four combinations for this: 1. You still can use nullable field but it will be deprecated in. Nullablemeans that if the property is present in JSON, it can hold a null value, and non-nullablemeans that the value of that property cannot be null in the JSON string. JSON Schema is a grammar language for defining the structure, content, and (to some extent) semantics of JSON objects. The value of the keyword should be a JSON Schema. Confluent Schema Registry provides a centralized repository for an organization’s schemas and a version history of the schemas as they evolve over time. JSON Schema: "required" => cannot be undefined but can be null if "type" = "null" => nullable Swagger 2: "required" => cannot be undefined and cannot be null (there is no way in Swagger 2 to express nullability => that's why we introduced x-nullable) OpenAPI 3: "required" => cannot be undefined but can be null if "nullable" = true => nullable. Enquote the null in the schema: "type": ["string", "null"] You can read about that in the json schema validation documentation, i. This returns null values on Spark 3. This read the JSON string from a text file into a DataFrame value column. It seems like in the json schema world this needs to be explicitly stated. from_json returns null in Apache Spark 3. Support for nullable fields · Issue #399 · swagger. class Config : schema_nullable = 'hidden' / '3. I am generating json schemas from those types, but fields that are nullable does not come out as nullable. Unlike JSON Schema, the data instance must be JSON array (without using additional type keyword), and there is no. The below two are equivalent:. Using Optional and Nullable Properties in API Requests. Language-specific info: Python. The simplest example of a JSON Schema contains only a single field. nullable property of JSON object as described by OpenAPI Spec v3. The value of items is a schema that describes the type and format of array. For json data sources, is there any support for either null values or missing fields? I've tried using store. If your schema. Validation for null Field Values. Unions have two shortcuts for common cases. 0 does not support the null type because Swagger supports only a subset of JSON schema. In objects, a nullable property is not the same as an optional property, but some tools may choose to map an optional property to the null value. Avro was developed with schema evolution in mind, and its. It cannot have any member other than nullable and metadata. If a service that is imported into the API contains nullable fields, as shown in the following example with "type": ["null", "string"] , the first supported type (in this example, "string" ) is used, and only the Remove transform is allowed in the. DIS can generate the Avro schema based on the JSON . Dual Super User. Understanding JSON Schema Compatibility. If a service that is imported into the API contains nullable fields, as shown in the following example with "type": ["null", "string"], the first supported type (in this example, "string") is used, and only the Remove transform is allowed in the mapping editor. So everything will be the same as JSON Schema. Additional type -specific keywords can be used to refine the data type, for example, limit the string length or specify an enum of possible values. show This is something unexpected and it is actually improved in Spark 3. Applying Subschemas Conditionally — Understanding JSON Schema 2020. The StructType and StructFields are used to define a schema or its part for the Dataframe. root |-- value: string ( nullable = true) 2. null is not allowed as a type value, instead "the nullable attribute is used as a modifier of the base type", yet the current json schema . Nullable types JSON Schema supports specifying multiple types in an array; however, react-jsonschema-form only supports a restricted subset of this -- nullable types, in which an element is either a given type or equal to null. If you are unable to use mParticle’s SDKs, you can use the mParticle Events API JSON schema documents to validate your JSON prior to upload. After some research and convert to RDD and then apply to DF using below code. In the Field name field, enter status. 2 By default, Jackson will include the null fields. We can use JSON Schema to. It is analogous to null in JavaScript, None in Python, null in Java and nil in . Spark Schema defines the structure of the DataFrame which you can get by calling printSchema() method on the DataFrame object. You can declare extra information in Field , Query , Body , etc. If a field (whether it is a parameter or a part of a model) is uninitialized, i. Confluent Schema Registry provides a centralized repository for an organization's schemas and a version history of the schemas as they evolve over time. The field schema mapping from Python / pydantic to JSON Schema is done as follows: Top-level schema generation. validate (), we can also do: jsonschema. そもそも nullable がサポートされたのも3. In JSON a property with value null is not equivalent to the property not being present. JSON Schema is a grammar language for defining the structure, content, and (to some extent) semantics of JSON objects. __name__ value [ 'anyOf'] = [ { '$ref': value. When I generate the schema for a string object field I do this (Option A): "fooString" : { "type" : "string" } This is consistent with schema generated by Jackson/JAXB. Output: Note: You can also store the JSON format in the file and use the file for defining the schema, code for this is also the same as above only you have to pass the JSON file in loads() function, in the above example, the schema in JSON format is stored in a variable, and we are using that variable for defining schema. Schema generation rules · GitBook. There are two numeric types in JSON Schema: integer and number. Generate proper JSON Schema for nullable properties #1611 Open In the meantime here is a generic workaround [ 'title'] = field. In your sample JSON schema , you need to explicitly allow null values for your properties. There are five basic value types supported by JSON Schema:. mParticle’s server-side SDKs are designed to generate correct JSON in all cases. For example, ["null", "string"] declares a schema which may be either a null or string. type - the value must be a single type and not an array of types. JSON does not have distinct types for integers and floating-point values. Click add_box Add field to add the following fields: Alternatively, click Edit as text and specify the schema as a JSON array. Note that there is no null type; instead, the nullable attribute is used as a modifier of the base type. In the Google Cloud console, go to the BigQuery page. So it generates Json-Schemas with this "nullable" field, which features in their "extended subset of JSON Schema Specification". The data is valid if it is invalid according to this schema. JSON Schema Validation OpenAPI Data Types The standard format JSON field is used to define pydantic extensions for more complex string sub-types. In your sample JSON schema , you need to explicitly allow null values for your properties. 0 and above (Databricks Runtime 7. JSON Schema Validation Schema itself is an object which has different properties. For now we concentrate on the specification for values. JSON has two types of null value · When the key is provided, and the value is explicitly stated as null. Spark Read JSON with schema. so in given example only name is required field & gender. When a schema specifies a type of null, it has only one acceptable value: null. This process Is shown on the below picture: If we hit done our component should look like on the. Spark SQL provides StructType & StructField classes to programmatically specify the schema. It was written under IETF draft which expired in 2011. nullable () creates a union of a type and null. 0 does not support the null type because Swagger supports only a subset of JSON schema. The fragment in the json2 variable is the way the JSON spec indicates null should be represented. JSON does not have distinct types for integers and floating-point values. JSON1 {} This returns an empty object. This schema is applied in the same way allOf applies schemas. The dependentSchemas keyword conditionally applies a subschema when a given property is present. This defines the name, datatype, and nullable flag for each column. json boolean · how to check if a json object is empty · mongoose nullable · json exclude . Complete structural validation, useful for automated testing. Jane is actually supporting JSON Schema draft 2019-09. If a service that is imported into the API contains nullable fields, as shown in the following example with "type": ["null", "string"], the first supported type (in this example, "string") is used, and only the Remove transform is allowed in the mapping editor. Here are some references where this format is recommended:. UPDATE 2: quoting the specs Note that there is no null type; instead, the nullable attribute is used as a modifier of the base type. Solved: Use JSON to set "nullable" : false. And, since keywords are passed on to jsonschema. x¶ This new OpenAPI version will be compatible with JSON Schema. { "type": "null" } null false 0 "". If a service that is imported into the API contains nullable fields, as shown in the following example with "type": ["null", "string"] , the first supported . FWIW, having nullable support out of box like this was a huge draw to AJV. The schema generation for https://github. JSON Schema Examples Tutorial. The result of applying the grammar language to a JSON document is the schema (a blueprint. As I wrote null is value, so it has to have some type. Parse JSON String Column & Convert it to Multiple Columns. If we apply these rules, we can code generate dotnet types that represent the structure of the schema, with strongly typed accessors for properties, array elements etc. JSON Schema Validation. The first format supported by Schema Registry was Avro. JSON request body and response in case of APIs. We can use JSON Schema to specify that documents can be any of these. The StructType and StructFields are used to define a schema or its part for the Dataframe. Receiving null for a nullable field; Receiving null for nullable parent Benefits of nullable types; Benefits of Non-Null types; Schema . But the JSON representation of the field can still be entered and it will return the value, either the real one or the null. I am generating json schemas from those types, but fields that are nullable does not come out as nullable. The Parse JSON step with the above schema returns "Error - Expected String, received null". validate (instance, schema, types= {'string': (str, type (None))}) I prefer the former, especially as I. `nullable` property of JSON object as described by OpenAPI. Answers related to “json schema validator allows null” joi object id validation; joi custom validation read data for all fields; JSON schema enumerated type;. type – the value must be a single type and not an array of types. In the details panel, click the Schema tab. Example 8: non-nullable Boolean property with default value. Validation for null Field Values Your application may be configured to set missing field values to null, instead of not including those fields in the object sent to the collection. { "type": "null" } null. If semantics of a data source doesn't support nullability constraints, then application of a schema cannot either. In the details panel, click the Schema tab. The first format supported by Schema Registry was Avro. ts: export type Maybe < T > = T | null ; export type Scalars = {. , not specified, then it should be ignored in the JSON string during serialization. The update definition call only supports updates to the domain and alias fields. Answers related to "json schema validator allows null" joi object id validation; json schema string or null; how to verify json format is valid; json exclude null; rails json schema validation; joi for validation; allow empty joi validation; joi custom validation read data for all fields; JSON schema enumerated type; how to set an attribute. using null as a proxy for unset, makes uneasy the explicit use of the JSON null type Swagger APIs are not supposed to carry null values. @Anonymous , Use in JSON definition for the properties where you expect null values: "type":. Validation for null Field Values Your application may be configured to set missing field values to null, instead of not including those fields in the object sent to the collection. The data is valid if it is invalid according to this schema. It has a required member elements (schema that elements should satisfy) and optional members nullable and metadata, no other members are allowed. 1' By default we would keep the 'hidden' behaviour so nothing so the feature wouldn't break anything and wouldn't require a v2. Solved: json schema validation of null values. It can be expressed as !A || B which can be expressed as a JSON Schema. If it is an array, it must be an array of strings, where each string is the name of one of the basic types, and each element is unique. Swagger 2. The value of this keyword MUST be either a string or an array. In this article, I will explain different ways to define the. How do you specify, in a JSON Schema (to be parsed by Json. No, not needed in json-schema. using null as a proxy for unset, makes uneasy the explicit use of the JSON null type Swagger APIs are not supposed to carry null values. Your application may be configured to set missing field values to null, instead of not including those fields in the object sent to the collection. You can just define the field without the null in the schema and when you see it, you can drag it in your next Step. Json Schema Nullable Field. The value -1 indicates no bound. This is because you require fb_id be a string, and null is not a string. Data is in key/value pairs: Key/value pair consists of a key in double quotes followed by a colon, followed by a value. Would you like to check? this is exactly the workaround I described ;-). In JSON a property with value null is not equivalent to the property not being present. `"nullable": true` not parsed. Nullable types¶ JSON Schema supports specifying multiple types in. In JSON, keys must be strings in double quotes but values can be of any type such as a string, a number, an object (JSON object), an array, a Boolean, null. total must be set if the serverPaging option is set to true or the schema. Pydantic: JSON Schema Nullable Required Syntax?. your JSON schema, MongoDB rejects documents that contain fields not included . JSON Documents can be either basic values (strings, numbers, integers, the boolean constants or null), or ordered or unordered list of key:value pairs. Depending on your Spark version, you can try to use the ignoreNullFields option when applying the to_json built-in function. The value of the keyword should be an array of JSON Schemas. The integer type is used for integral numbers. What happens if you try to return null for a non-null field? So we can declare some fields to be non-null in our GraphQL schema, but that doesn' . If you also want to allow null values for fb_id, you can set its schema to {"type": ["string", "null"]} You. If a service that is imported into the API contains nullable fields, as shown in the following example with "type": ["null", "string"], the first supported type (in this example, "string") is used, and only. I am generating json schemas from those types, but fields that are nullable does not come out as nullable. If your schema validates data types for a field, to insert documents with a null value for that field, you must explicitly allow null as a valid BSON type. A JSON schema file consists of. Handling the null type in JSON schema Swagger 2. object — Understanding JSON Schema 2020. The default value of a property is represented with the JSON Schema keyword default. By default this field is set to OpenAPI v3. The most basic schema is a blank JSON object, which constrains nothing, allows anything, and describes nothing: You can apply constraints on an instance by adding validation keywords to. This is because you require fb_id be a string, and null is not a string. Handling the null type in JSON schema. Logic Apps will generate that schema automatically. Note It's important to remember that in JSON, null isn't equivalent to something being absent. JSON Schema is a specification for JSON based format for defining the structure of JSON data. Inbound Events API Schema; Inbound Events Bulk API Schema; Python. April Dunnam on Power Apps Source Code Tool - 10 Minute Overview;. PySpark StructType & StructField classes are used to programmatically specify the schema to the DataFrame and create complex columns like nested struct, array, and map columns. Yeah, that page is not very clear. The Parse JSON step with the above schema returns "Error - Expected String, received null" Replacing the EndDate data type "string" with "any" causes it to be unreadable in following steps (as though it was never parsed) and changing it to "data" causes an internal server error. schema: {type: "number", not: {minimum: 3}} valid: 1, 2. * id: null * name: null Cause. Note JSON has no standard way to represent complex numbers, so there is no way to test for them in JSON Schema. In Python, null is analogous to None. Json schema defines a number of ways to compose entities, defined in the in-place applicator and child applicator sections of the Core schema. format - OpenAPI has its own predefined formats and also allows custom formats. For Mode, leave the value set to NULLABLE. By default this field is set to OpenAPI v3. I'm getting a block of JSON with some properties that can be null or a string. Immutable fields are fields that can be set only in the creation of the entity. createCollection ( "sales", { validator: { "$jsonSchema": { "properties": {. This makes the schema verbose and, to me, redundant.