Manage relational assets

You can represent most relational database and data warehousing objects through a common set of relational assets. You can use this structure to create assets for any relational system you like:

erDiagram
    Connection ||--o{ Database : contains
    Database ||--o{ Schema : schemas
    Schema ||--o{ Table : tables
    Schema ||--o{ View : views
    Schema ||--o{ MaterialisedView : materialisedViews
    Table |o--o{ TablePartition : partitions
    Table }o--o{ Query : queries
    Table |o--o{ Column : columns
    Table }o--o{ DbtModel : dbtModels
    View }o--o{ Query : queries
    View |o--o{ Column : columns
    View }o--o{ DbtModel : dbtModels
    MaterialisedView |o--o{ Column : columns
    TablePartition |o--o{ Column : columns
    Column }o--o{ Query : queries
    Column }o--o{ DbtMetric : dbtMetrics
    Column |o--o{ Metric : dataQualityMetricDimensions
    Column |o--o{ DbtModelColumn : dbtModelColumns

In general, these should be:

• Created in top-down order (connection, then database, then schema, and so on)
• Deleted in bottom-up order (columns, then tables, then schema, then database, then connection)¹

Where do the icons come from?

Atlan will display icons for these assets based on the type of connector you define in the Connection. You can use out-of-the-box types like athena, or API-first types like netsuite and vertica.

However, note that in all cases the same structure (and types) as illustrated above are used — there are no differences in types between these relational assets across different systems.

Asset structure

Connection

2.0.0 1.0.0

A connection requires a name and qualifiedName. As noted above, a specific setting is also required to determine the icons to use for assets in the connection. In addition, at least one of adminRoles, adminGroups, or adminUsers must be provided.

Java Python Kotlin Raw REST API

String adminRoleGuid = Atlan.getDefaultClient().getRoleCache().getIdForName("$admin"); // (1)
Connection connection = Connection.creator( // (2)
        "relational-connection", // (3)
        AtlanConnectorType.VERTICA, // (4)
        List.of(adminRoleGuid), // (5)
        List.of("group2"), // (6)
        List.of("jsmith")) // (7)
    .build();
AssetMutationResponse response = connection.save(); // (8)
String connectionQualifiedName = response.getCreatedAssets().get(0).getQualifiedName(); // (9)

1. Retrieve the GUID for the admin role, to use later for defining the roles that can administer the connection.
2. Build up the minimum request to create a connection.
3. Provide a human-readable name for your connection, such as production or development.

4. Set the type of connection.

   Determines the icon

   This determines the icon that Atlan will use for all the assets in the connection.

5. List the workspace roles that should be able to administer the connection (or null if none). All users with that workspace role (current and future) will be administrators of the connection. Note that the values here need to be the GUID(s) of the workspace role(s). At least one of adminRoles, adminGroups, or adminUsers must be provided.

6. List the group names that can administer this connection (or null if none). All users within that group (current and future) will be administrators of the connection. Note that the values here are the name(s) of the group(s). At least one of adminRoles, adminGroups, or adminUsers must be provided.
7. List the user names that can administer this connection (or null if none). Note that the values here are the username(s) of the user(s). At least one of adminRoles, adminGroups, or adminUsers must be provided.
8. Actually call Atlan to create the connection.
9. Retrieve the qualifiedName for use in subsequent creation calls. (You'd probably want to do some null checking first.)

from pyatlan.cache.role_cache import RoleCache
from pyatlan.client.atlan import AtlanClient
from pyatlan.model.assets import Connection, Database, Schema, Table, View, MaterialisedView, Column
from pyatlan.model.enums import AtlanConnectorType

client = AtlanClient()
admin_role_guid = RoleCache.get_id_for_name("$admin") # (1)
connection = Connection.creator( # (2)
    name="relational-connection", # (3)
    connector_type=AtlanConnectorType.VERTICA, # (4)
    admin_roles=[admin_role_guid], # (5)
    admin_groups=["group2"], # (6)
    admin_users=["jsmith"], # (7)
)
response = client.asset.save(connection) # (8)
connection_qualified_name = response.assets_created(asset_type=Connection)[0].qualified_name # (9)

1. Retrieve the GUID for the admin role, to use later for defining the roles that can administer the connection.
2. Build up the minimum request to create a connection.
3. Provide a human-readable name for your connection, such as production or development.

4. Set the type of connection.

   Determines the icon

   This determines the icon that Atlan will use for all the assets in the connection.

5. List the workspace roles that should be able to administer the connection (if any, defaults to None). All users with that workspace role (current and future) will be administrators of the connection. Note that the values here need to be the GUID(s) of the workspace role(s). At least one of admin_roles, admin_groups, or admin_users must be provided.

6. List the group names that can administer this connection (if any, defaults to None). All users within that group (current and future) will be administrators of the connection. Note that the values here are the name(s) of the group(s). At least one of admin_roles, admin_groups, or admin_users must be provided.
7. List the user names that can administer this connection (if any, defaults to None). Note that the values here are the username(s) of the user(s). At least one of admin_roles, admin_groups, or admin_users must be provided.
8. Actually call Atlan to create the connection.
9. Retrieve the qualified_name for use in subsequent creation calls. (You'd probably want to do some checks first.)

val adminRoleGuid = Atlan.getDefaultClient().getRoleCache().getIdForName("\$admin"); // (1)
val connection = Connection.creator( // (2)
        "relational-connection", // (3)
        AtlanConnectorType.VERTICA, // (4)
        listOf(adminRoleGuid), // (5)
        listOf("group2"), // (6)
        listOf("jsmith")) // (7)
    .build()
var response = connection.save() // (8)
val connectionQualifiedName = response.createdAssets[0].qualifiedName // (9)

1. Retrieve the GUID for the admin role, to use later for defining the roles that can administer the connection.
2. Build up the minimum request to create a connection.
3. Provide a human-readable name for your connection, such as production or development.

4. Set the type of connection.

   Determines the icon

   This determines the icon that Atlan will use for all the assets in the connection.

5. List the workspace roles that should be able to administer the connection (or null if none). All users with that workspace role (current and future) will be administrators of the connection. Note that the values here need to be the GUID(s) of the workspace role(s). At least one of adminRoles, adminGroups, or adminUsers must be provided.

6. List the group names that can administer this connection (or null if none). All users within that group (current and future) will be administrators of the connection. Note that the values here are the name(s) of the group(s). At least one of adminRoles, adminGroups, or adminUsers must be provided.
7. List the user names that can administer this connection (or null if none). Note that the values here are the username(s) of the user(s). At least one of adminRoles, adminGroups, or adminUsers must be provided.
8. Actually call Atlan to create the connection.
9. Retrieve the qualifiedName for use in subsequent creation calls. (You'd probably want to do some null checking first.)

{
  "entities": [
    {
      "typeName": "Connection", // (1)
      "attributes": {
        "name": "relational-connection", // (2)
        "connectorName": "vertica", // (3)
        "qualifiedName": "default/vertica/123456789", // (4)
        "category": "warehouse", // (5)
        "adminRoles": [ // (6)
          "e7ae0295-c60a-469a-bd2c-fb903943aa02"
        ],
        "adminGroups": [ // (7)
          "group2"
        ],
        "adminUsers": [ // (8)
          "jsmith"
        ]
      }
    }
  ]
}

1. The typeName must be exactly Connection.
2. Human-readable name for your connection, such as production or development.

3. The connectorName should be a known value, such as vertica.

   Determines the icon

   This determines the icon that Atlan will use for all the assets in the connection. If you use a value that is not a known value, you will have a default gear icon instead.

4. The qualifiedName should follow the pattern: default/<connectorName>/<epoch>, where <epoch> is the time in milliseconds at which the connection is being created, and <connectorName> exactly matches the value used for connectorName (above).

5. The category should also be a known value, that defines the kind of relational store. This could for example be warehouse or rdbms.
6. List any workspace roles that can administer this connection. All users with that workspace role (current and future) will be administrators of the connection. Note that the values here need to be the GUID(s) of the workspace role(s). At least one of adminRoles, adminGroups, or adminUsers must be provided.
7. List any groups that can administer this connection. All users within that group (current and future) will be administrators of the connection. Note that the values here are the name(s) of the group(s). At least one of adminRoles, adminGroups, or adminUsers must be provided.
8. List any users that can administer this connection. Note that the values here are the username(s) of the user(s). At least one of adminRoles, adminGroups, or adminUsers must be provided.

Access policies

Atlan creates the policies that grant access to a connection, including the ability to retrieve the connection and to create assets within it, asynchronously. It can take several seconds (even up to approximately 30 seconds) before these are in place after creating the connection.

You may therefore need to wait before you'll be able to create the assets below within the connection.

To confirm access, retrieve the connection after it has been created. The SDKs' retry loops will automatically retry until the connection can be successfully retrieved. At that point, your API token has permission to create the other assets.

Note: if you are reusing an existing connection rather than creating one via your API token, you must give your API token a persona that has access to that connection. Otherwise all attempts to create, read, update, or delete assets within that connection will fail due to a lack of permissions.

Database

2.0.0 1.0.0

A database requires a name and a qualifiedName. For creation, you also need to specify the connectionQualifiedName of the connection for the database.

Java Python Kotlin Raw REST API

Database database = Database.creator( // (1)
        "reln_db", // (2)
        connectionQualifiedName) // (3)
    .schemaCount(10) // (4)
    .build();
AssetMutationResponse response = database.save(); // (4)
database = response.getResult(database); // (5)

1. Build up the minimum request to create a database.
2. Provide a human-readable name for your database.
3. Provide the qualifiedName of the connection for this database.
4. (Optional) To ensure the UI displays the correct count of Schema's, set the schemaCount directly on the Database instance.
5. Actually call Atlan to create the database.
6. Retrieve the created database for use in subsequent creation calls. (You'd probably want to do some null checking first.)

database = Database.creator( # (1)
    name="reln_db", # (2)
    connection_qualified_name=connection_qualified_name # (3)
)
database.schema_count = 10 # (4)
response = client.asset.save(database) # (5)
database_qualified_name = response.assets_created(asset_type=Database)[0].qualified_name # (6)

1. Build up the minimum request to create a database.
2. Provide a human-readable name for your database.
3. Provide the qualified_name of the connection for this database.
4. (Optional) To ensure the UI displays the correct count of Schema's, set the schema_count directly on the Database instance.
5. Actually call Atlan to create the database.
6. Retrieve the qualified_name for use in subsequent creation calls. (You'd probably want to do some checks first.)

var database = Database.creator( // (1)
        "reln_db", // (2)
        connectionQualifiedName) // (3)
    .schemaCount(10) // (4)
    .build()
var ar = database.save() // (4)
database = ar.getResult(database) // (5)

1. Build up the minimum request to create a database.
2. Provide a human-readable name for your database.
3. Provide the qualifiedName of the connection for this database.
4. (Optional) To ensure the UI displays the correct count of Schema's, set the schemaCount directly on the Database instance.
5. Actually call Atlan to create the database.
6. Retrieve the created database for use in subsequent creation calls. (You'd probably want to do some null checking first.)

{
  "entities": [
    {
      "typeName": "Database", // (1)
      "attributes": {
        "name": "reln_db", // (2)
        "qualifiedName": "default/vertica/123456789/reln_db", // (3)
        "connectionQualifiedName": "default/vertica/123456789", // (4)
        "connectorName": "vertica", // (5)
        "schemaCount": 10 // (6)
      }
    }
  ]
}

1. The typeName must be exactly Database.
2. Human-readable name for your database.
3. The qualifiedName should follow the pattern: default/<connectorName>/<epoch>/<db_name>, where default/<connectorName>/<epoch> is the qualifiedName of the connection for this database and <db_name> is the name of this database.
4. The connectionQualifiedName must be the exact qualifiedName of the connection for this database.
5. The connectorName must be exactly as used when defining the connection.
6. (Optional) To ensure the UI displays the correct count of Schema's, set the schemaCount directly on the Database instance.

Schema

2.0.0 1.0.0

A schema requires a name and a qualifiedName. For creation, you also need to specify the connectionQualifiedName of the connection for the schema, and the names and qualifiedNames of the schema's ancestors.

Java Python Kotlin Raw REST API

Schema schema = Schema.creator( // (1)
        "reln_schema", // (2)
        database) // (3)
    .tableCount(10) // (4)
    .viewCount(10) // (5)
    .build();
AssetMutationResponse response = schema.save(); // (6)
schema = response.getResult(schema); // (7)

1. Build up the minimum request to create a schema.
2. Provide a human-readable name for your schema.
3. Provide the database for this schema. If you did not already have the object, you could also use Database.refByGuid() with the GUID of the database, or Database.refByQualifiedName() with the qualifiedName of the database.
4. (Optional) To ensure the UI displays the correct count of Table's, set the tableCount directly on the Schema instance.
5. (Optional) To ensure the UI displays the correct count of View's, set the viewCount directly on the Schema instance.
6. Actually call Atlan to create the schema.
7. Retrieve the created schema for use in subsequent creation calls. (You'd probably want to do some null checking first.)

schema = Schema.creator( # (1)
    name="reln_schema", # (2)
    database_qualified_name=database_qualified_name # (3)
)
schema.table_count = 10 # (4)
schema.views_count = 10 # (5)
response = client.asset.save(schema) # (6)
schema_qualified_name = response.assets_created(asset_type=Schema)[0].qualified_name # (7)

1. Build up the minimum request to create a schema.
2. Provide a human-readable name for your schema.
3. Provide the qualified_name of the database for this schema.
4. (Optional) To ensure the UI displays the correct count of Table's, set the table_count directly on the Schema instance.
5. (Optional) To ensure the UI displays the correct count of View's, set the views_count directly on the Schema instance.
6. Actually call Atlan to create the schema.
7. Retrieve the qualified_name for use in subsequent creation calls. (You'd probably want to do some checks first.)

var schema = Schema.creator( // (1)
        "reln_schema", // (2)
        database) // (3)
    .tableCount(10) // (4)
    .viewCount(10) // (5)
    .build()
ar = schema.save() // (6)
schema = ar.getResult(schema) // (7)

1. Build up the minimum request to create a schema.
2. Provide a human-readable name for your schema.
3. Provide the database for this schema. If you did not already have the object, you could also use Database.refByGuid() with the GUID of the database, or Database.refByQualifiedName() with the qualifiedName of the database.
4. (Optional) To ensure the UI displays the correct count of Table's, set the tableCount directly on the Schema instance.
5. (Optional) To ensure the UI displays the correct count of View's, set the viewCount directly on the Schema instance.
6. Actually call Atlan to create the schema.
7. Retrieve the created schema for use in subsequent creation calls. (You'd probably want to do some null checking first.)

{
  "entities": [
    {
      "typeName": "Schema", // (1)
      "attributes": {
        "name": "reln_schema", // (2)
        "qualifiedName": "default/vertica/123456789/reln_db/reln_schema", // (3)
        "connectionQualifiedName": "default/vertica/123456789", // (4)
        "connectorName": "vertica", // (5)
        "database": { // (6)
          "typeName": "Database", // (7)
          "uniqueAttributes": { // (8)
            "qualifiedName": "default/vertica/123456789/reln_db"
          }
        },
        "databaseName": "reln_db", // (9)
        "databaseQualifiedName": "default/vertica/123456789/reln_db", // (10)
        "viewCount": 10 // (11)
      }
    }
  ]
}

1. The typeName must be exactly Schema.
2. Human-readable name for your schema.
3. The qualifiedName should follow the pattern: default/<connectorName>/<epoch>/<db_name>/<schema_name>, where default/<connectorName>/<epoch>/<db_name> is the qualifiedName of the database for this schema, and <schema_name> is the name of the schema.
4. The connectionQualifiedName must be the exact qualifiedName of the connection for this schema.
5. The connectorName must be exactly as used when defining the connection.
6. The database in which this schema exists is embedded in the database attribute.
7. The typeName for this embedded reference must be Database.
8. To complete the reference, you must include a uniqueAttributes object with the qualifiedName of the database. Note: the database must already exist in Atlan before creating the schema.
9. The databaseName should be the human-readable name of the database.
10. The databaseQualifiedName should be the qualifiedName of the database.
11. (Optional) To ensure the UI displays the correct count of View's, set the viewCount directly on the Schema instance.

Table

2.0.0 1.0.0

A table requires a name and a qualifiedName. For creation, you also need to specify the connectionQualifiedName of the connection for the table, and the names and qualifiedNames of the table's ancestors.

Java Python Kotlin Raw REST API

Table table = Table.creator( // (1)
        "reln_table", // (2)
        schema) // (3)
    .columnCount(10) // (4)
    .build();
AssetMutationResponse response = table.save(); // (5)
table = response.getResult(table).get(0).getQualifiedName(); // (6)

1. Build up the minimum request to create a table.
2. Provide a human-readable name for your table.
3. Provide the schema for this table. If you did not already have the object, you could also use Schema.refByGuid() with the GUID of the schema, or Schema.refByQualifiedName() with the qualifiedName of the schema.
4. (Optional) To ensure the UI displays the correct count of Column's, set the columnCount directly on the Table instance.
5. Actually call Atlan to create the table.
6. Retrieve the created table for use in subsequent creation calls. (You'd probably want to do some null checking first.)

table = Table.creator( # (1)
    name="reln_table", # (2)
    schema_qualified_name=schema_qualified_name # (3)
)
table.column_count = 10 # (4)
response = client.asset.save(table) # (5)
table_qualified_name = response.assets_created(asset_type=Table)[0].qualified_name # (6)

1. Build up the minimum request to create a table.
2. Provide a human-readable name for your table.
3. Provide the qualified_name of the schema for this table.
4. (Optional) To ensure the UI displays the correct count of Column's, set the column_count directly on the Table instance.
5. Actually call Atlan to create the table.
6. Retrieve the qualified_name for use in subsequent creation calls. (You'd probably want to do some checks first.)

var table = Table.creator( // (1)
        "reln_table", // (2)
        schema) // (3)
    .columnCount(10) // (4)
    .build()
ar = table.save() // (5)
table = ar.getResult(table) // (6)

1. Build up the minimum request to create a table.
2. Provide a human-readable name for your table.
3. Provide the schema for this table. If you did not already have the object, you could also use Schema.refByGuid() with the GUID of the schema, or Schema.refByQualifiedName() with the qualifiedName of the schema.
4. (Optional) To ensure the UI displays the correct count of Column's, set the columnCount directly on the Table instance.
5. Actually call Atlan to create the table.
6. Retrieve the created table for use in subsequent creation calls. (You'd probably want to do some null checking first.)

{
  "entities": [
    {
      "typeName": "Table", // (1)
      "attributes": {
        "name": "reln_table", // (2)
        "qualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_table", // (3)
        "connectionQualifiedName": "default/vertica/123456789", // (4)
        "connectorName": "vertica", // (5)
        "atlanSchema": { // (6)
          "typeName": "Schema", // (7)
          "uniqueAttributes": { // (8)
            "qualifiedName": "default/vertica/123456789/reln_db/reln_schema"
          }
        },
        "schemaName": "reln_schema", // (9)
        "schemaQualifiedName": "default/vertica/123456789/reln_db/reln_schema", // (10)
        "databaseName": "reln_db", // (11)
        "databaseQualifiedName": "default/vertica/123456789/reln_db", // (12)
        "columnCount": 10 // (13)
      }
    }
  ]
}

1. The typeName must be exactly Table.
2. Human-readable name for your table.
3. The qualifiedName should follow the pattern: default/<connectorName>/<epoch>/<db_name>/<schema_name>/<table_name>, where default/<connectorName>/<epoch>/<db_name>/<schema_name> is the qualifiedName of the schema for this table, and <table_name> is the name of the table.
4. The connectionQualifiedName must be the exact qualifiedName of the connection for this table.
5. The connectorName must be exactly as used when defining the connection.
6. The schema in which this table exists is embedded in the atlanSchema attribute.
7. The typeName for this embedded reference must be Schema.
8. To complete the reference, you must include a uniqueAttributes object with the qualifiedName of the schema. Note: the schema must already exist in Atlan before creating the table.
9. The schemaName should be the human-readable name of the schema.
10. The schemaQualifiedName should be the qualifiedName of the schema.
11. The databaseName should be the human-readable name of the database.
12. The databaseQualifiedName should be the qualifiedName of the database.
13. (Optional) To ensure the UI displays the correct count of Column's, set the columnCount directly on the Table instance.

View

2.0.0 1.0.0

A view requires a name and a qualifiedName. For creation, you also need to specify the connectionQualifiedName of the connection for the view, and the names and qualifiedNames of the view's ancestors.

Java Python Kotlin Raw REST API

View view = View.creator( // (1)
        "reln_view", // (2)
        schema) // (3)
    .columnCount(10) // (4)
    .build();
AssetMutationResponse response = view.save(); // (4)
view = response.getResult(view); // (5)

1. Build up the minimum request to create a view.
2. Provide a human-readable name for your view.
3. Provide the schema for this table. If you did not already have the object, you could also use Schema.refByGuid() with the GUID of the schema, or Schema.refByQualifiedName() with the qualifiedName of the schema.
4. (Optional) To ensure the UI displays the correct count of Column's, set the columnCount directly on the View instance.
5. Actually call Atlan to create the view.
6. Retrieve the created view for use in subsequent creation calls. (You'd probably want to do some null checking first.)

view = View.creator( # (1)
    name="reln_view", # (2)
    schema_qualified_name=schema_qualified_name # (3)
)
view.column_count = 10 # (4)
response = client.asset.save(view) # (5)
view_qualified_name = response.assets_created(asset_type=View)[0].qualified_name # (6)

1. Build up the minimum request to create a view.
2. Provide a human-readable name for your view.
3. Provide the qualified_name of the schema for this view.
4. (Optional) To ensure the UI displays the correct count of Column's, set the column_count directly on the View instance.
5. Actually call Atlan to create the view.
6. Retrieve the qualified_name for use in subsequent creation calls. (You'd probably want to do some checks first.)

var view = View.creator( // (1)
        "reln_view", // (2)
        schema) // (3)
    .columnCount(10) // (4)
    .build()
ar = view.save() // (4)
view = ar.getResult(view) // (5)

1. Build up the minimum request to create a view.
2. Provide a human-readable name for your view.
3. Provide the schema for this table. If you did not already have the object, you could also use Schema.refByGuid() with the GUID of the schema, or Schema.refByQualifiedName() with the qualifiedName of the schema.
4. (Optional) To ensure the UI displays the correct count of Column's, set the columnCount directly on the View instance.
5. Actually call Atlan to create the view.
6. Retrieve the created view for use in subsequent creation calls. (You'd probably want to do some null checking first.)

{
  "entities": [
    {
      "typeName": "View", // (1)
      "attributes": {
        "name": "reln_view", // (2)
        "qualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_view", // (3)
        "connectionQualifiedName": "default/vertica/123456789", // (4)
        "connectorName": "vertica", // (5)
        "atlanSchema": { // (6)
          "typeName": "Schema", // (7)
          "uniqueAttributes": { // (8)
            "qualifiedName": "default/vertica/123456789/reln_db/reln_schema"
          }
        },
        "schemaName": "reln_schema", // (9)
        "schemaQualifiedName": "default/vertica/123456789/reln_db/reln_schema", // (10)
        "databaseName": "reln_db", // (11)
        "databaseQualifiedName": "default/vertica/123456789/reln_db", // (12)
        "columnCount": 10 // (13)
      }
    }
  ]
}

1. The typeName must be exactly View.
2. Human-readable name for your view.
3. The qualifiedName should follow the pattern: default/<connectorName>/<epoch>/<db_name>/<schema_name>/<view_name>, where default/<connectorName>/<epoch>/<db_name>/<schema_name> is the qualifiedName of the schema for this view, and <view_name> is the name of the view.
4. The connectionQualifiedName must be the exact qualifiedName of the connection for this view.
5. The connectorName must be exactly as used when defining the connection.
6. The schema in which this view exists is embedded in the atlanSchema attribute.
7. The typeName for this embedded reference must be Schema.
8. To complete the reference, you must include a uniqueAttributes object with the qualifiedName of the schema. Note: the schema must already exist in Atlan before creating the view.
9. The schemaName should be the human-readable name of the schema.
10. The schemaQualifiedName should be the qualifiedName of the schema.
11. The databaseName should be the human-readable name of the database.
12. The databaseQualifiedName should be the qualifiedName of the database.
13. (Optional) To ensure the UI displays the correct count of Column's, set the columnCount directly on the View instance.

MaterialisedView

2.0.0 1.0.0

A materialized view requires a name and a qualifiedName. For creation, you also need to specify the connectionQualifiedName of the connection for the materialized view, and the names and qualifiedNames of the materialized view's ancestors.

Java Python Kotlin Raw REST API

MaterializedView mview = MaterializedView.creator( // (1)
        "reln_mat_view", // (2)
        schema) // (3)
    .columnCount(10) // (4)
    .build();
AssetMutationResponse response = mview.save(); // (5)
mview = response.getResult(mview); // (6)

1. Build up the minimum request to create a materialized view.
2. Provide a human-readable name for your materialized view.
3. Provide the schema for this table. If you did not already have the object, you could also use Schema.refByGuid() with the GUID of the schema, or Schema.refByQualifiedName() with the qualifiedName of the schema.
4. (Optional) To ensure the UI displays the correct count of Column's, set the columnCount directly on the MaterializedView instance.
5. Actually call Atlan to create the materialized view.
6. Retrieve the created materialized view for use in subsequent creation calls. (You'd probably want to do some null checking first.)

mview = MaterialisedView.creator( # (1)
    name="reln_mat_view", # (2)
    schema_qualified_name=schema_qualified_name # (3)
)
mview.column_count = 10
response = client.asset.save(mview) # (5)
mview_qualified_name = response.assets_created(asset_type=MaterialisedView)[0].qualified_name # (6)

1. Build up the minimum request to create a materialized view.
2. Provide a human-readable name for your materialized view.
3. Provide the qualified_name of the schema for this materialized view.
4. (Optional) To ensure the UI displays the correct count of Column's, set the column_count directly on the MaterializedView instance.
5. Actually call Atlan to create the materialized view.
6. Retrieve the qualified_name for use in subsequent creation calls. (You'd probably want to do some checks first.)

var mview = MaterializedView.creator( // (1)
        "reln_mat_view", // (2)
        schema) // (3)
    .columnCount(10) // (4)
    .build();
ar = mview.save() // (5)
mview = ar.getResult(mview) // (6)

1. Build up the minimum request to create a materialized view.
2. Provide a human-readable name for your materialized view.
3. Provide the schema for this table. If you did not already have the object, you could also use Schema.refByGuid() with the GUID of the schema, or Schema.refByQualifiedName() with the qualifiedName of the schema.
4. (Optional) To ensure the UI displays the correct count of Column's, set the columnCount directly on the MaterializedView instance.
5. Actually call Atlan to create the materialized view.
6. Retrieve the created materialized view for use in subsequent creation calls. (You'd probably want to do some null checking first.)

{
  "entities": [
    {
      "typeName": "MaterialisedView", // (1)
      "attributes": {
        "name": "reln_mat_view", // (2)
        "qualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_mat_view", // (3)
        "connectionQualifiedName": "default/vertica/123456789", // (4)
        "connectorName": "vertica", // (5)
        "atlanSchema": { // (6)
          "typeName": "Schema", // (7)
          "uniqueAttributes": { // (8)
            "qualifiedName": "default/vertica/123456789/reln_db/reln_schema"
          }
        },
        "schemaName": "reln_schema", // (9)
        "schemaQualifiedName": "default/vertica/123456789/reln_db/reln_schema", // (10)
        "databaseName": "reln_db", // (11)
        "databaseQualifiedName": "default/vertica/123456789/reln_db", // (12)
        "columnCount": 10 // (13)
      }
    }
  ]
}

1. The typeName must be exactly MaterialisedView. (Yes, the spelling, with an s not a z.)
2. Human-readable name for your materialized view.
3. The qualifiedName should follow the pattern: default/<connectorName>/<epoch>/<db_name>/<schema_name>/<view_name>, where default/<connectorName>/<epoch>/<db_name>/<schema_name> is the qualifiedName of the schema for this materialized view, and <view_name> is the name of the materialized view.
4. The connectionQualifiedName must be the exact qualifiedName of the connection for this materialized view.
5. The connectorName must be exactly as used when defining the connection.
6. The schema in which this materialized view exists is embedded in the atlanSchema attribute.
7. The typeName for this embedded reference must be Schema.
8. To complete the reference, you must include a uniqueAttributes object with the qualifiedName of the schema. Note: the schema must already exist in Atlan before creating the materialized view.
9. The schemaName should be the human-readable name of the schema.
10. The schemaQualifiedName should be the qualifiedName of the schema.
11. The databaseName should be the human-readable name of the database.
12. The databaseQualifiedName should be the qualifiedName of the database.
13. (Optional) To ensure the UI displays the correct count of Column's, set the columnCount directly on the MaterializedView instance.

TablePartition

Coming soon

Column

2.0.0 1.0.0

A column requires a name and a qualifiedName. For creation, you also need to specify the connectionQualifiedName of the connection for the column, the column's order (position) within its parent, and the names and qualifiedNames of the column's ancestors.

Java Python Kotlin Raw REST API

Column column = Column.creator( // (1)
        "reln_col1", // (2)
        table, // (3)
        1) // (4)
    .build();
AssetMutationResponse response = column.save(); // (5)

1. Build up the minimum request to create a column.
2. Provide a human-readable name for your column.
3. Provide the parent container for this column. If you did not already have the object, you could also use Table.refByGuid() with the GUID of a table (or View.refByGuid(), etc), or Table.refByQualifiedName() with the qualifiedName of a table (or View.refByQualifiedName(), etc).
4. The order (position) of the column within the table.
5. Actually call Atlan to create the column.

column = Column.creator( # (1)
    name="reln_col1", # (2)
    parent_type=Table, # (3)
    parent_qualified_name=table_qualified_name, # (4)
    order=1 # (5)
)
response = client.asset.save(column) # (6)

1. Build up the minimum request to create a column.
2. Provide a human-readable name for your column.
3. Specify the type of the parent asset for the column (table, view, or materialized view).
4. Provide the qualified_name of the parent asset for this column. In this example you're defining a column in a table, so you can use the table_qualified_name created above. If the parent asset type were View you would want to use the view_qualified_name created above.
5. The order (position) of the column within the table.
6. Actually call Atlan to create the column.

val column = Column.creator( // (1)
        "reln_col1", // (2)
        table, // (3)
        1) // (4)
    .build()
ar = column.save() // (5)

1. Build up the minimum request to create a column.
2. Provide a human-readable name for your column.
3. Provide the parent container for this column. If you did not already have the object, you could also use Table.refByGuid() with the GUID of a table (or View.refByGuid(), etc), or Table.refByQualifiedName() with the qualifiedName of a table (or View.refByQualifiedName(), etc).
4. The order (position) of the column within the table.
5. Actually call Atlan to create the column.

{
  "entities": [
    {
      "typeName": "Column", // (1)
      "attributes": {
        "name": "reln_col1", // (2)
        "qualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_table/reln_col1", // (3)
        "connectionQualifiedName": "default/vertica/123456789", // (4)
        "connectorName": "vertica", // (5)
        "table": { // (6)
          "typeName": "Table", // (7)
          "uniqueAttributes": { // (8)
            "qualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_table"
          }
        },
        "view": { // (9)
          "typeName": "View", // (10)
          "uniqueAttributes": { // (11)
            "qualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_view"
          }
        },
        "materialisedView": { // (12)
          "typeName": "MaterialisedView", // (13)
          "uniqueAttributes": { // (14)
            "qualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_mat_view"
          }
        },
        "tableName": "reln_table", // (15)
        "tableQualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_table", // (16)
        "viewName": "reln_view", // (17)
        "viewQualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_view", // (18)
        "schemaName": "reln_schema", // (19)
        "schemaQualifiedName": "default/vertica/123456789/reln_db/reln_schema", // (20)
        "databaseName": "reln_db", // (21)
        "databaseQualifiedName": "default/vertica/123456789/reln_db", // (22)
        "order": 1 // (23)
      }
    }
  ]
}

1. The typeName must be exactly Column.
2. Human-readable name for your column.
3. The qualifiedName should follow the pattern: default/<connectorName>/<epoch>/<db_name>/<schema_name>/<parent_name>/<column_name>, where default/<connectorName>/<epoch>/<db_name>/<schema_name>/<parent_name> is the qualifiedName of the parent container (table, view, materialized view) for this column, and <column_name> is the name of the column.
4. The connectionQualifiedName must be the exact qualifiedName of the connection for this column.
5. The connectorName must be exactly as used when defining the connection.
6. If the column exists in a table, the table in which it exists is embedded in the table attribute.
7. The typeName for this embedded reference must be Table.
8. To complete the reference, you must include a uniqueAttributes object with the qualifiedName of the table. Note: the table must already exist in Atlan before creating the column.
9. If the column exists in a view, the view in which it exists is embedded in the view attribute.
10. The typeName for this embedded reference must be View.
11. To complete the reference, you must include a uniqueAttributes object with the qualifiedName of the view. Note: the view must already exist in Atlan before creating the column.
12. If the column exists in a materialized view, the materialized view in which it exists is embedded in the materialisedView attribute.
13. The typeName for this embedded reference must be MaterialisedView.
14. To complete the reference, you must include a uniqueAttributes object with the qualifiedName of the materialized view. Note: the materialized view must already exist in Atlan before creating the column.
15. If the column exists in a table, the tableName should be the human-readable name of the table.
16. If the column exists in a table, the tableQualifiedName should be the qualifiedName of the table.
17. If the column exists in either a view or materialized view, the viewName should be the human-readable name of the (materialized) view.
18. If the column exists in either a view or materialized view, the viewQualifiedName should be the qualifiedName of the (materialized) view.
19. The schemaName should be the human-readable name of the schema.
20. The schemaQualifiedName should be the qualifiedName of the schema.
21. The databaseName should be the human-readable name of the database.
22. The databaseQualifiedName should be the qualifiedName of the database.
23. The order (position) of the column within the table.

Available relationships

Every level of the relational structure is also an Asset, and can therefore be related to the following other assets.

erDiagram
  Asset }o--o{ AtlasGlossaryTerm : meanings
  Asset ||--o{ Link : links
  Asset ||--o| Readme : readme
  Asset }o--o{ Process : inputToProcesses
  Asset }o--o{ Process : outputFromProcesses

AtlasGlossaryTerm

A glossary term provides meaning to an asset. The link terms to assets snippet provides more detail on setting this relationship.

Link

A link provides additional context to an asset, by providing a URL to additional information.

Readme

A README provides rich documentation for an asset. The add asset READMEs snippet provides more detail on setting this relationship.

Process

A process provides lineage information for an asset. An asset can be both an input and an output for one or more processes. The lineage snippets provide more detail on creating and working with lineage.

Primary keys

2.0.0 1.0.0

You can define a column as a primary key by setting the isPrimary attribute to true:

Java Python Kotlin Raw REST API

Column column = Column.creator(
        "reln_col1",
        table,
        1)
    .isPrimary(true)
    .build();
AssetMutationResponse response = column.save();

column = Column.creator(
    name="reln_col1",
    parent_type=Table,
    parent_qualified_name=table_qualified_name,
    order=1
)
column.is_primary = True
response = client.asset.save(column)

val column = Column.creator(
        "reln_col1",
        table,
        1)
    .isPrimary(true)
    .build()
ar = column.save()

{
  "entities": [
    {
      "typeName": "Column",
      "attributes": {
        "name": "reln_col1",
        "qualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_table/reln_col1",
        "connectionQualifiedName": "default/vertica/123456789",
        "connectorName": "vertica",
        "table": {
          "typeName": "Table",
          "uniqueAttributes": {
            "qualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_table"
          }
        },
        "view": {
          "typeName": "View",
          "uniqueAttributes": {
            "qualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_view"
          }
        },
        "materialisedView": {
          "typeName": "MaterialisedView",
          "uniqueAttributes": {
            "qualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_mat_view"
          }
        },
        "tableName": "reln_table",
        "tableQualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_table",
        "viewName": "reln_view",
        "viewQualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_view",
        "schemaName": "reln_schema",
        "schemaQualifiedName": "default/vertica/123456789/reln_db/reln_schema",
        "databaseName": "reln_db",
        "databaseQualifiedName": "default/vertica/123456789/reln_db",
        "order": 1,
        "isPrimary": true
      }
    }
  ]
}

Foreign keys

2.0.0 1.0.0

You can link one column to another, as a foreign key, by setting the isForeign attribute to true and creating a relationship to another column through the foreignKeyFrom attribute:

Java Python Kotlin Raw REST API

Column column = Column.creator(
        "reln_col1",
        table,
        1)
    .isForeign(true) // (1)
    .foreignKeyFrom(Column.refByGuid("e31c5cec-54fa-4f99-8157-d845082561e2")) // (2)
    .build();
AssetMutationResponse response = column.save();

1. Mark the column that whose values are foreign keys pointing to another column.
2. Use the foreignKeyFrom attribute to specify the other column that this column's values point to.

column = Column.creator(
    name="reln_col1",
    parent_type=Table,
    parent_qualified_name=table_qualified_name,
    order=1
)
column.is_foreign = True  # (1)
column.foreign_key_from(Column.ref_by_guid("e31c5cec-54fa-4f99-8157-d845082561e2"))  # (2)
response = client.asset.save(column)

1. Mark the column that whose values are foreign keys pointing to another column.
2. Use the foreign_key_from attribute to specify the other column that this column's values point to.

val column = Column.creator(
        "reln_col1",
        table,
        1)
    .isForeign(true) // (1)
    .foreignKeyFrom(Column.refByGuid("e31c5cec-54fa-4f99-8157-d845082561e2")) // (2)
    .build()
ar = column.save()

1. Mark the column that whose values are foreign keys pointing to another column.
2. Use the foreignKeyFrom attribute to specify the other column that this column's values point to.

{
  "entities": [
    {
      "typeName": "Column",
      "attributes": {
        "name": "reln_col1",
        "qualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_table/reln_col1",
        "connectionQualifiedName": "default/vertica/123456789",
        "connectorName": "vertica",
        "table": {
          "typeName": "Table",
          "uniqueAttributes": {
            "qualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_table"
          }
        },
        "view": {
          "typeName": "View",
          "uniqueAttributes": {
            "qualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_view"
          }
        },
        "materialisedView": {
          "typeName": "MaterialisedView",
          "uniqueAttributes": {
            "qualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_mat_view"
          }
        },
        "tableName": "reln_table",
        "tableQualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_table",
        "viewName": "reln_view",
        "viewQualifiedName": "default/vertica/123456789/reln_db/reln_schema/reln_view",
        "schemaName": "reln_schema",
        "schemaQualifiedName": "default/vertica/123456789/reln_db/reln_schema",
        "databaseName": "reln_db",
        "databaseQualifiedName": "default/vertica/123456789/reln_db",
        "order": 1,
        "isForeign": true, // (1)
        "foreignKeyFrom": { // (2)
          "typeName": "Column",
          "guid": "e31c5cec-54fa-4f99-8157-d845082561e2"
        }
      }
    }
  ]
}

1. Mark the column that whose values are foreign keys pointing to another column.
2. Use the foreignKeyFrom attribute to specify the other column that this column's values point to.

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1. Although if you want to delete everything in a connection, your better avenue is the packaged connection delete utility in the UI. ↩

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