POST /v1/tables

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.root}")

import org.openmetadata.schema.entity.data.Table;
import org.openmetadata.sdk.fluent.builders.ColumnBuilder;
import org.openmetadata.sdk.fluent.builders.TableBuilder;

Table table = new TableBuilder(client)
    .name("customers")
    .schemaFQN("snowflake_prod.analytics.public")
    .columns(
        ColumnBuilder.integer("id").primaryKey(),
        ColumnBuilder.varchar("name", 256),
        ColumnBuilder.varchar("email", 256),
        ColumnBuilder.timestamp("created_at")
    )
    .create();

curl -X POST "{base_url}/api/v1/tables" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "agent_performance_summary",
    "databaseSchema": "sample_data.ecommerce_db.shopify",
    "description": "Summary of agent performance metrics derived from multiple tables including ssot_utilization_detail for comprehensive reporting.",
    "tableType": "Regular",
    "columns": [
      {"name": "agent_id", "dataType": "VARCHAR", "dataLength": 100, "description": "Agent identifier"},
      {"name": "performance_score", "dataType": "DECIMAL", "description": "Overall performance score"}
    ]
  }'

{
  "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
}

POST

tables

POST /v1/tables

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.root}")

import org.openmetadata.schema.entity.data.Table;
import org.openmetadata.sdk.fluent.builders.ColumnBuilder;
import org.openmetadata.sdk.fluent.builders.TableBuilder;

Table table = new TableBuilder(client)
    .name("customers")
    .schemaFQN("snowflake_prod.analytics.public")
    .columns(
        ColumnBuilder.integer("id").primaryKey(),
        ColumnBuilder.varchar("name", 256),
        ColumnBuilder.varchar("email", 256),
        ColumnBuilder.timestamp("created_at")
    )
    .create();

curl -X POST "{base_url}/api/v1/tables" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "agent_performance_summary",
    "databaseSchema": "sample_data.ecommerce_db.shopify",
    "description": "Summary of agent performance metrics derived from multiple tables including ssot_utilization_detail for comprehensive reporting.",
    "tableType": "Regular",
    "columns": [
      {"name": "agent_id", "dataType": "VARCHAR", "dataLength": 100, "description": "Agent identifier"},
      {"name": "performance_score", "dataType": "DECIMAL", "description": "Overall performance score"}
    ]
  }'

{
  "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

string

required

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

string

required

Fully qualified name of the parent DatabaseSchema, for example snowflake_prod.analytics.public.

array

required

Array of column definitions for the table.

Show properties

string

required

Name of the column.

string

required

Data type of the column, for example INT, VARCHAR, TIMESTAMP, BOOLEAN, ARRAY, MAP.

string

Description of the column in Markdown format.

integer

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

string

Column constraint: PRIMARY_KEY, UNIQUE, NOT_NULL, NULL.

array

Classification tags to apply to this column.

string

Human-readable display name for the table.

string

Description of the table in Markdown format.

string

Type of table: Regular, External, Dynamic, View, SecureView, MaterializedView, Iceberg, DeltaLake, Local, Partitioned, Foreign, Transient, Stream, Stage, SemanticView.

string

Data retention period in ISO 8601 duration format, for example P365D.

object

Certification to set when the table is created. Ingestion connectors can send it in the same request instead of a follow-up patch to /certification. When a bot sends a PUT with an explicit certification, the value is applied. A bot PUT that omits it keeps the stored certification.

Show properties

object

required

Certification tag, for example {"tagFQN": "Certification.Gold"}.

array

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

Show properties

string

UUID of the owner entity.

string

Type of owner entity, for example user, team.

string

Name of the owner entity.

array

Fully qualified names of the domains to assign for governance purposes.

array

Array of classification tags to apply to the table.

Show properties

string

required

Fully qualified name of the tag.

string

Type of label, for example Manual, Derived, Propagated.

string

State of the tag, for example Suggested, Confirmed.

POST /v1/tables

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.root}")

import org.openmetadata.schema.entity.data.Table;
import org.openmetadata.sdk.fluent.builders.ColumnBuilder;
import org.openmetadata.sdk.fluent.builders.TableBuilder;

Table table = new TableBuilder(client)
    .name("customers")
    .schemaFQN("snowflake_prod.analytics.public")
    .columns(
        ColumnBuilder.integer("id").primaryKey(),
        ColumnBuilder.varchar("name", 256),
        ColumnBuilder.varchar("email", 256),
        ColumnBuilder.timestamp("created_at")
    )
    .create();

curl -X POST "{base_url}/api/v1/tables" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "agent_performance_summary",
    "databaseSchema": "sample_data.ecommerce_db.shopify",
    "description": "Summary of agent performance metrics derived from multiple tables including ssot_utilization_detail for comprehensive reporting.",
    "tableType": "Regular",
    "columns": [
      {"name": "agent_id", "dataType": "VARCHAR", "dataLength": 100, "description": "Agent identifier"},
      {"name": "performance_score", "dataType": "DECIMAL", "description": "Overall performance score"}
    ]
  }'

{
  "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

string

Unique identifier for the table (UUID format).

string

Table name.

string

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

string

Human-readable display name.

string

Description of the table in Markdown format.

string

Type of table, for example Regular, View, MaterializedView.

array

Array of column definitions.

Show properties

string

Column name.

string

Data type of the column.

string

Fully qualified name of the column.

string

Column description.

string

Column constraint if set.

object

Reference to the parent database schema.

object

Reference to the parent database service.

string

Type of database service, for example Snowflake, BigQuery, PostgreSQL.

number

Version number for the entity (starts at 0.1).

integer

Time the table was created in OpenMetadata, in Unix epoch milliseconds. Set by the server and kept on later updates.

string

User or bot that created the table in OpenMetadata. Set by the server. The same two fields are on chart, container, dashboard, dashboard data model, database, database schema, metric, machine learning (ML) model, pipeline, query, topic, role, team, and user.

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)

API Reference

Data Assets

Collaboration

AI SDK

SDK

Discovery

Lineage

Data Contracts

Teams And Users

Data Governance

Data Quality

Alerts

Incidents

Main Concepts

Create a Table

Create a Table

Body Parameters

Returns

Response

Create or Update (PUT)

Bulk Create or Update (PUT)

Error Handling