awscc_personalize_dataset_group (Resource)

Resource Schema for AWS::Personalize::DatasetGroup.

Example Usage

Basic Usage Example (Domain)

Creation of Amazon Personalize dataset group using the video on demand domain

resource "awscc_personalize_dataset_group" "personalize_dataset_group" {
  name   = "TestPresonalizeDatasetGroup"
  domain = "VIDEO_ON_DEMAND"
}

Dataset group creation with custom datasets and schemas

Creation of custom Amazon Personalize dataset group with interactions, users and items datasets with their custom schema

resource "awscc_personalize_dataset_group" "personalize_dataset_group" {
    name = "TestPresonalizeDatasetGroup"
}

resource "awscc_personalize_schema" "interactions_schema"{
    name = "interactions_dataset_schema"
    schema = "{\n \"type\": \"record\",\n \"namespace\": \"com.amazonaws.personalize.schema\",\n \"name\": \"Interactions\",\n \"fields\": [\n { \"name\": \"USER_ID\", \"type\": \"string\" },\n { \"name\": \"ITEM_ID\", \"type\": \"string\" },\n { \"name\": \"TIMESTAMP\", \"type\": \"long\" }\n ]\n }"
}

resource "awscc_personalize_dataset" "dataset_interactions"{
    dataset_group_arn = awscc_personalize_dataset_group.personalize_dataset_group.dataset_group_arn
    dataset_type = "Interactions"
    name = "Interactions_Dataset"
    schema_arn = awscc_personalize_schema.interactions_schema.schema_arn
    depends_on = [awscc_personalize_dataset_group.personalize_dataset_group, awscc_personalize_schema.interactions_schema]
}

resource "awscc_personalize_schema" "users_schema"{
    name = "users_dataset_schema"
    schema = "{\n \"type\": \"record\",\n \"namespace\": \"com.amazonaws.personalize.schema\",\n \"name\": \"Users\",\n \"fields\": [\n { \"name\": \"USER_ID\", \"type\": \"string\" },\n { \"name\": \"AGE\", \"type\": \"int\" },\n { \"name\": \"GENDER\", \"type\": \"string\",\"categorical\": true }\n ]\n }"
}

resource "awscc_personalize_dataset" "dataset_users"{
    dataset_group_arn = awscc_personalize_dataset_group.personalize_dataset_group.dataset_group_arn
    dataset_type = "Users"
    name = "Users_Dataset"
    schema_arn = awscc_personalize_schema.users_schema.schema_arn
    depends_on = [awscc_personalize_dataset_group.personalize_dataset_group, awscc_personalize_schema.users_schema]
}

resource "awscc_personalize_schema" "items_schema"{
    name = "items_dataset_schema"
    schema = "{\n \"type\": \"record\",\n \"namespace\": \"com.amazonaws.personalize.schema\",\n \"name\": \"Items\",\n \"fields\": [\n { \"name\": \"ITEM_ID\", \"type\": \"string\" },\n { \"name\": \"GENRES\", \"type\": [\"null\", \"string\" ], \"categorical\": true},\n { \"name\": \"DESCRIPTION\", \"type\": [\"null\", \"string\" ], \"textual\": true }\n ]\n }"
}

resource "awscc_personalize_dataset" "dataset_items"{
    dataset_group_arn = awscc_personalize_dataset_group.personalize_dataset_group.dataset_group_arn
    dataset_type = "Items"
    name = "Items_Dataset"
    schema_arn = awscc_personalize_schema.items_schema.schema_arn
    depends_on = [awscc_personalize_dataset_group.personalize_dataset_group, awscc_personalize_schema.items_schema]
}

Schema

Required

Optional

Read-Only

Import

Import is supported using the following syntax:

$ terraform import awscc_personalize_dataset_group.example <resource ID>