{
	"topics": [
		{
			"name": "customer_events",
			"description": "Kafka topic to capture the customer events such as location updates or profile updates",
			"partitions": 56,
			"retentionSize": 455858109,
			"replicationFactor":2,
			"maximumMessageSize":167,
			"cleanupPolicies": ["delete"],
			"schemaType": "Avro",
			"schemaText": "{\"namespace\":\"openmetadata.kafka\",\"name\":\"Customer\",\"type\":\"record\",\"fields\":[{\"name\":\"id\",\"type\":\"string\"},{\"name\":\"first_name\",\"type\":\"string\"},{\"name\":\"last_name\",\"type\":\"string\"},{\"name\":\"email\",\"type\":\"string\"},{\"name\":\"address_line_1\",\"type\":\"string\"},{\"name\":\"address_line_2\",\"type\":\"string\"},{\"name\":\"post_code\",\"type\":\"string\"},{\"name\":\"country\",\"type\":\"string\"}]}"
		},
		{
			"name": "product_events",
			"description": "Kafka topic to capture the product events. This topic will get updates on products decription, price etc.",
			"partitions": 128,
			"retentionSize": 1068320655,
			"replicationFactor":4,
			"maximumMessageSize":208,
			"cleanupPolicies": ["delete"],
			"schemaType": "Avro",
			"schemaText": "{\"namespace\":\"openmetadata.kafka\",\"type\":\"record\",\"name\":\"Product\",\"fields\":[{\"name\":\"product_id\",\"type\":\"int\"},{\"name\":\"title\",\"type\":\"string\"},{\"name\":\"price\",\"type\":\"double\"},{\"name\":\"sku\",\"type\":\"string\"},{\"name\":\"barcode\",\"type\":\"string\"},{\"name\":\"shop_id\",\"type\":\"int\"}]}"
		},
		{
			"name": "shop_updates",
			"description": "Kafka topic to get any shop updates such as new products, location",
			"partitions": 16,
			"retentionSize": 213590548,
			"replicationFactor":3,
			"maximumMessageSize":226,
			"cleanupPolicies": ["delete"],
			"schemaType": "Avro",
			"schemaText": "{\"namespace\":\"openmetadata.kafka\",\"type\":\"record\",\"name\":\"Shop\",\"fields\":[{\"name\":\"name\",\"type\":\"string\"},{\"name\":\"domain\",\"type\":\"string\"},{\"name\":\"user_id\",\"type\":\"int\"},{\"name\":\"first_name\",\"type\":\"string\"},{\"name\":\"last_name\",\"type\":\"string\"},{\"name\":\"email\",\"type\":\"string\"}]}"
		},
		{
			"name": "shop_products",
			"description": "Kafka topic to get products in a shop. This is constantly updating",
			"partitions": 128,
			"retentionSize": 1475079463,
			"replicationFactor":2,
			"maximumMessageSize":244,
			"cleanupPolicies": ["compact","delete"],
			"schemaType": "Avro",
			"schemaText": "{\"namespace\":\"openmetadata.kafka\",\"type\":\"record\",\"name\":\"Shop\",\"fields\":[{\"name\":\"prodcut_id\",\"type\":\"int\"},{\"name\":\"product_variant_id\",\"type\":\"int\"},{\"name\":\"shop_id\",\"type\":\"int\"},{\"name\":\"name\",\"type\":\"string\"},{\"name\":\"product_title\",\"type\":\"string\"},{\"name\":\"price\",\"type\":\"double\"},{\"name\":\"quantity\",\"type\":\"int\"},{\"name\":\"product_vendor\",\"type\":\"int\"},{\"name\":\"fulfillable_quantity\",\"type\":\"int\"},{\"name\":\"fulfilment_service\",\"type\":\"string\"}]}"
		},
		{
			"name": "orders",
			"description": "All the order events on our online store",
			"partitions": 128,
			"retentionSize": 291959935,
			"replicationFactor":3,
			"maximumMessageSize":61,
			"cleanupPolicies": ["compact"],
			"schemaType": "Avro",
			"schemaText": "{\"namespace\":\"openmetadata.kafka\",\"type\":\"record\",\"name\":\"Order\",\"fields\":[{\"name\":\"order_id\",\"type\":\"int\"},{\"name\":\"api_client_id\",\"type\":\"int\"},{\"name\":\"billing_address_id\",\"type\":\"int\"},{\"name\":\"customer_id\",\"type\":\"int\"},{\"name\":\"location_id\",\"type\":\"int\"},{\"name\":\"shipping_address_id\",\"type\":\"int\"},{\"name\":\"user_id\",\"type\":\"int\"},{\"name\":\"total_price\",\"type\":\"double\"},{\"name\":\"discount_code\",\"type\":\"string\"},{\"name\":\"processed_at\",\"type\":\"int\"}]}"
		},
		{
			"name": "sales",
			"description": "All sales related events gets captured in this topic",
			"partitions": 128,
			"retentionSize": 1931232624,
			"replicationFactor":4,
			"maximumMessageSize":249,
			"cleanupPolicies": ["compact","delete"],
			"schemaType": "Avro",
			"schemaText": "{\"namespace\":\"openmetadata.kafka\",\"type\":\"record\",\"name\":\"Order\",\"fields\":[{\"name\":\"sale_id\",\"type\":\"int\"},{\"name\":\"billing_address_id\",\"type\":\"int\"},{\"name\":\"billing_address_id_2\",\"type\":\"int\"},{\"name\":\"api_client_id\",\"type\":\"int\"},{\"name\":\"customer_id\",\"type\":\"int\"},{\"name\":\"product_id\",\"type\":\"int\"},{\"name\":\"location_id\",\"type\":\"int\"},{\"name\":\"order_id\",\"type\":\"double\"}]}"
		},
		{
			"name": "avro_record",
			"description": "All Avro record related events gets captured in this topic",
			"partitions": 128,
			"retentionSize": 1931232624,
			"replicationFactor":4,
			"maximumMessageSize":249,
			"cleanupPolicies": ["compact","delete"],
			"schemaType": "Avro",
			"schemaText": "{\n    \"namespace\": \"openmetadata.kafka\",\n    \"name\": \"level\",\n    \"type\": \"record\",\n    \"doc\": \"This is a first level record\",\n    \"fields\": [\n        {\n            \"name\": \"uid\",\n            \"type\": \"int\",\n            \"doc\": \"The field represents unique id\"\n        },\n        {\n            \"name\": \"somefield\",\n            \"type\": \"string\"\n        },\n        {\n            \"name\": \"options\",\n            \"doc\": \"The field represents options array\",\n            \"type\": {\n                \"type\": \"array\",\n                \"items\": {\n                    \"type\": \"record\",\n                    \"name\": \"lvl2_record\",\n                    \"doc\": \"The field represents a level 2 record\",\n                    \"fields\": [\n                        {\n                            \"name\": \"item1_lvl2\",\n                            \"type\": \"string\"\n                        },\n                        {\n                            \"name\": \"item2_lvl2\",\n                            \"type\": {\n                                \"type\": \"array\",\n                                \"items\": {\n                                    \"type\": \"record\",\n                                    \"name\": \"lvl3_record\",\n                                    \"fields\": [\n                                        {\n                                            \"name\": \"item1_lvl3\",\n                                            \"type\": \"string\",\n                                            \"doc\": \"The field represents level3 item\"\n                                        },\n                                        {\n                                            \"name\": \"item2_lvl3\",\n                                            \"type\": \"string\"\n                                        }\n                                    ]\n                                }\n                            }\n                        }\n                    ]\n                }\n            }\n        }\n    ]\n}"
		},
		{
			"name": "json_schema_record",
			"description": "All Json Schema record related events gets captured in this topic",
			"partitions": 128,
			"retentionSize": 1931232624,
			"replicationFactor":4,
			"maximumMessageSize":249,
			"cleanupPolicies": ["compact","delete"],
			"schemaType": "JSON",
			"schemaText": "{\"type\":\"object\",\"required\":[\"name\",\"age\",\"club_name\"],\"properties\":{\"name\":{\"type\":\"object\",\"required\":[\"first_name\",\"last_name\"],\"properties\":{\"first_name\":{\"type\":\"string\"},\"last_name\":{\"type\":\"string\"}}},\"age\":{\"type\":\"integer\"},\"club_name\":{\"type\":\"string\"}}}"
		},
		{
			"name": "address_book",
			"description": "All Protobuf record related events gets captured in this topic",
			"partitions": 128,
			"retentionSize": 1931232624,
			"replicationFactor":4,
			"maximumMessageSize":249,
			"cleanupPolicies": ["compact","delete"],
			"schemaType": "Protobuf",
			"schemaText": "syntax = \"proto2\";\n\npackage tutorial;\n\nmessage Person {\n  optional string name = 1;\n  optional int32 id = 2;\n  optional string email = 3;\n\n  enum PhoneType {\n    MOBILE = 0;\n    HOME = 1;\n    WORK = 2;\n  }\n\n  message PhoneNumber {\n    optional string number = 1;\n    optional PhoneType type = 2 [default = HOME];\n  }\n\n  repeated PhoneNumber phones = 4;\n}\n\nmessage AddressBook {\n  repeated Person people = 1;\n}"
		},
		{
			"name": "customer_contacts",
			"description": "Kafka topic to capture the customer contacts such as email, phone",
			"partitions": 56,
			"retentionSize": 455858109,
			"replicationFactor":2,
			"maximumMessageSize":167,
			"cleanupPolicies": ["delete"]
		}
	]
}