Create a Table

Create a new table within a database schema

POST /v1/tables

POST /v1/tables

Python

from metadata.sdk import configure
from metadata.sdk.entities import Tables
from metadata.generated.schema.api.data.createTable import CreateTableRequest

configure(
    host="https://your-company.open-metadata.org/api",
    jwt_token="your-jwt-token"
)

request = CreateTableRequest(
    name="customers",
    displayName="Customers",
    databaseSchema="snowflake_prod.analytics.public",
    description="Customer master data table",
    tableType="Regular",
    columns=[
        {"name": "id", "dataType": "INT", "constraint": "PRIMARY_KEY", "description": "Unique customer identifier"},
        {"name": "name", "dataType": "VARCHAR", "dataLength": 256, "description": "Full name of the customer"},
        {"name": "email", "dataType": "VARCHAR", "dataLength": 256, "description": "Customer email address"},
        {"name": "created_at", "dataType": "TIMESTAMP", "description": "Account creation timestamp"}
    ]
)

table = Tables.create(request)
print(f"Created: {table.fullyQualifiedName}")

Response

{
  "id": "455e3d9d-dbbf-455e-b3be-7191daa825f3",
  "name": "agent_performance_summary",
  "fullyQualifiedName": "sample_data.ecommerce_db.shopify.agent_performance_summary",
  "description": "Summary of agent performance metrics derived from multiple tables including ssot_utilization_detail for comprehensive reporting.",
  "version": 0.1,
  "updatedAt": 1769982651320,
  "updatedBy": "admin",
  "href": "http://localhost:8585/api/v1/tables/455e3d9d-dbbf-455e-b3be-7191daa825f3",
  "tableType": "Regular",
  "columns": [
    {
      "name": "agent_id",
      "dataType": "VARCHAR",
      "dataLength": 100,
      "dataTypeDisplay": "varchar",
      "description": "Agent identifier",
      "fullyQualifiedName": "sample_data.ecommerce_db.shopify.agent_performance_summary.agent_id",
      "tags": [],
      "ordinalPosition": 1
    },
    {
      "name": "performance_score",
      "dataType": "DECIMAL",
      "dataTypeDisplay": "decimal",
      "description": "Overall performance score",
      "fullyQualifiedName": "sample_data.ecommerce_db.shopify.agent_performance_summary.performance_score",
      "tags": [],
      "ordinalPosition": 2
    }
  ],
  "owners": [],
  "databaseSchema": {
    "id": "4dd30184-009c-4792-b296-9562eaed651f",
    "type": "databaseSchema",
    "name": "shopify",
    "fullyQualifiedName": "sample_data.ecommerce_db.shopify",
    "description": "This **mock** database contains schema related to shopify sales and orders with related dimension tables.",
    "displayName": "shopify",
    "deleted": false,
    "href": "http://localhost:8585/api/v1/databaseSchemas/4dd30184-009c-4792-b296-9562eaed651f"
  },
  "database": {
    "id": "0be090de-0941-48c4-af49-a6157c91cda0",
    "type": "database",
    "name": "ecommerce_db",
    "fullyQualifiedName": "sample_data.ecommerce_db",
    "description": "This **mock** database contains schemas related to shopify sales and orders with related dimension tables.",
    "displayName": "ecommerce_db",
    "deleted": false,
    "href": "http://localhost:8585/api/v1/databases/0be090de-0941-48c4-af49-a6157c91cda0"
  },
  "service": {
    "id": "fd2193af-fe09-4366-92b7-1e0d01cd8c09",
    "type": "databaseService",
    "name": "sample_data",
    "fullyQualifiedName": "sample_data",
    "displayName": "sample_data",
    "deleted": false,
    "href": "http://localhost:8585/api/v1/services/databaseServices/fd2193af-fe09-4366-92b7-1e0d01cd8c09"
  },
  "serviceType": "BigQuery",
  "tags": [],
  "deleted": false
}

Create a Table

Create a new table within a database schema.

Body Parameters

name · string · required

Name of the table. Must be unique within the parent schema.

databaseSchema · string · required

Fully qualified name of the parent DatabaseSchema (e.g., snowflake_prod.analytics.public).

columns · array · required

Array of column definitions for the table.

Show properties

name · string · required

Name of the column.

dataType · string · required

Data type of the column (e.g., INT, VARCHAR, TIMESTAMP, BOOLEAN, ARRAY, MAP).

description · string

Description of the column in Markdown format.

dataLength · integer

Length of the data type (e.g., 256 for VARCHAR(256)).

constraint · string

Column constraint: PRIMARY_KEY, UNIQUE, NOT_NULL, NULL.

tags · array

Classification tags to apply to this column.

displayName · string

Human-readable display name for the table.

description · string

Description of the table in Markdown format.

tableType · string

Type of table: Regular, External, View, MaterializedView, SecureView, Iceberg, Local, Partitioned, Foreign, Transient.

retentionPeriod · string

Data retention period in ISO 8601 duration format (e.g., P365D).

owners · array

Array of owner references (users or teams) to assign to the table.

Show properties

id · string

UUID of the owner entity.

type · string

Type of owner entity (e.g., user, team).

name · string

Name of the owner entity.

domain · string

Fully qualified name of the domain to assign for governance purposes.

tags · array

Array of classification tags to apply to the table.

Show properties

tagFQN · string · required

Fully qualified name of the tag.

labelType · string

Type of label (e.g., Manual, Derived, Propagated).

state · string

State of the tag (e.g., Suggested, Confirmed).

POST /v1/tables

Python

from metadata.sdk import configure
from metadata.sdk.entities import Tables
from metadata.generated.schema.api.data.createTable import CreateTableRequest

configure(
    host="https://your-company.open-metadata.org/api",
    jwt_token="your-jwt-token"
)

request = CreateTableRequest(
    name="customers",
    displayName="Customers",
    databaseSchema="snowflake_prod.analytics.public",
    description="Customer master data table",
    tableType="Regular",
    columns=[
        {"name": "id", "dataType": "INT", "constraint": "PRIMARY_KEY", "description": "Unique customer identifier"},
        {"name": "name", "dataType": "VARCHAR", "dataLength": 256, "description": "Full name of the customer"},
        {"name": "email", "dataType": "VARCHAR", "dataLength": 256, "description": "Customer email address"},
        {"name": "created_at", "dataType": "TIMESTAMP", "description": "Account creation timestamp"}
    ]
)

table = Tables.create(request)
print(f"Created: {table.fullyQualifiedName}")

Response

{
  "id": "455e3d9d-dbbf-455e-b3be-7191daa825f3",
  "name": "agent_performance_summary",
  "fullyQualifiedName": "sample_data.ecommerce_db.shopify.agent_performance_summary",
  "description": "Summary of agent performance metrics derived from multiple tables including ssot_utilization_detail for comprehensive reporting.",
  "version": 0.1,
  "updatedAt": 1769982651320,
  "updatedBy": "admin",
  "href": "http://localhost:8585/api/v1/tables/455e3d9d-dbbf-455e-b3be-7191daa825f3",
  "tableType": "Regular",
  "columns": [
    {
      "name": "agent_id",
      "dataType": "VARCHAR",
      "dataLength": 100,
      "dataTypeDisplay": "varchar",
      "description": "Agent identifier",
      "fullyQualifiedName": "sample_data.ecommerce_db.shopify.agent_performance_summary.agent_id",
      "tags": [],
      "ordinalPosition": 1
    },
    {
      "name": "performance_score",
      "dataType": "DECIMAL",
      "dataTypeDisplay": "decimal",
      "description": "Overall performance score",
      "fullyQualifiedName": "sample_data.ecommerce_db.shopify.agent_performance_summary.performance_score",
      "tags": [],
      "ordinalPosition": 2
    }
  ],
  "owners": [],
  "databaseSchema": {
    "id": "4dd30184-009c-4792-b296-9562eaed651f",
    "type": "databaseSchema",
    "name": "shopify",
    "fullyQualifiedName": "sample_data.ecommerce_db.shopify",
    "description": "This **mock** database contains schema related to shopify sales and orders with related dimension tables.",
    "displayName": "shopify",
    "deleted": false,
    "href": "http://localhost:8585/api/v1/databaseSchemas/4dd30184-009c-4792-b296-9562eaed651f"
  },
  "database": {
    "id": "0be090de-0941-48c4-af49-a6157c91cda0",
    "type": "database",
    "name": "ecommerce_db",
    "fullyQualifiedName": "sample_data.ecommerce_db",
    "description": "This **mock** database contains schemas related to shopify sales and orders with related dimension tables.",
    "displayName": "ecommerce_db",
    "deleted": false,
    "href": "http://localhost:8585/api/v1/databases/0be090de-0941-48c4-af49-a6157c91cda0"
  },
  "service": {
    "id": "fd2193af-fe09-4366-92b7-1e0d01cd8c09",
    "type": "databaseService",
    "name": "sample_data",
    "fullyQualifiedName": "sample_data",
    "displayName": "sample_data",
    "deleted": false,
    "href": "http://localhost:8585/api/v1/services/databaseServices/fd2193af-fe09-4366-92b7-1e0d01cd8c09"
  },
  "serviceType": "BigQuery",
  "tags": [],
  "deleted": false
}

---

Returns

Returns the created table object with all specified properties, system-generated fields, and fully qualified names for each column.

Response

id · string

Unique identifier for the table (UUID format).

name · string

Table name.

fullyQualifiedName · string

Fully qualified name in format service.database.schema.table.

displayName · string

Human-readable display name.

description · string

Description of the table in Markdown format.

tableType · string

Type of table (e.g., Regular, View, MaterializedView).

columns · array

Array of column definitions.

Show properties

name · string

Column name.

dataType · string

Data type of the column.

fullyQualifiedName · string

Fully qualified name of the column.

description · string

Column description.

constraint · string

Column constraint if set.

databaseSchema · object

Reference to the parent database schema.

service · object

Reference to the parent database service.

serviceType · string

Type of database service (e.g., Snowflake, BigQuery, PostgreSQL).

version · number

Version number for the entity (starts at 0.1).

---

Create or Update (PUT)

Use PUT /v1/tables instead of POST to perform an upsert. If a table with the same fullyQualifiedName already exists, it will be updated; otherwise, a new table is created. The request body is the same as POST.

curl -X PUT "{base_url}/api/v1/tables" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json" \
  -d '{ ... same body as POST ... }'

PUT will not return a 409 conflict error if the entity already exists — it will update the existing entity instead.

---

Bulk Create or Update (PUT)

Use PUT /v1/tables/bulk to create or update multiple tables in a single request. The request body is an array of create request objects.

curl -X PUT "{base_url}/api/v1/tables/bulk" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json" \
  -d '[
    { "name": "table_one", "databaseSchema": "service.db.schema", "columns": [{"name": "id", "dataType": "INT"}] },
    { "name": "table_two", "databaseSchema": "service.db.schema", "columns": [{"name": "id", "dataType": "INT"}] }
  ]'

---

Error Handling

Code	Error Type	Description
400	BAD_REQUEST	Invalid request body, missing required fields, or invalid column definitions
401	UNAUTHORIZED	Invalid or missing authentication token
403	FORBIDDEN	User lacks permission to create tables
409	ENTITY_ALREADY_EXISTS	Table with same name already exists in schema (POST only)