Schema Entities

A logical grouping of similar schemas. A Schema Group can be based on any criteria you have for managing schemas.

Schema Groups can have multiple Schema Metadata definitions.

• Group Name – truck-sensors-log

• Group Name – truck-sensors-kafka

Metadata associated with a named schema. A metadata definition is applied to all the schema versions that are assigned to it.

Key metadata elements include:

• Schema Name – A unique name for each schema. Used as a key to look up schemas.

• Schema Type – The format of the schema.

  Note: Avro is currently the only supported type.

• Compatibility Policy – The compatibility rules that exist when the new schemas are registered.

• Serializers/Deserializers – A set of serializers and deserializers that you can upload to the registry and associate with schema metadata definitions.

• Schema Name – truck_events_avro:v

• Schema Type – avro

• Compatibility Policy – SchemaCompatibility.BACKWARD

{
  "type" : "record",
  "namespace" : "hortonworks.hdp.refapp.trucking",
  "name" : "truckgeoevent",
  "fields" : [
    { "name" : "eventTime" , "type" : "string" },
    { "name" : "eventSource" , "type" : "string" },
    { "name" : "truckId" , "type" : "int" },
    { "name" : "driverId" , "type" : "int"},
    { "name" : "driverName" , "type" : "string"},
    { "name" : "routeId" , "type" : "int"},
    { "name" : "route" , "type" : "string"},
    { "name" : "eventType" , "type" : "string"},
    { "name" : "longitude" , "type" : "double"},
    { "name" : "latitude" , "type" : "double"},
    { "name" : "correlationId" , "type" : "long"}
  ]
}