GET /v1/tables/name/{fqn}/export

from metadata.sdk import configure
from metadata.sdk.entities import Tables

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

# Synchronous export
csv_data = Tables.export_csv("snowflake_prod.analytics.public.customers").execute()
print(csv_data)

# Async export
job = Tables.export_csv("snowflake_prod.analytics.public.customers").execute_async()
print(f"Export job: {job}")

# Synchronous import (dry run first)
result = (
    Tables.import_csv("snowflake_prod.analytics.public.customers")
    .with_data(csv_data)
    .set_dry_run(True)
    .execute()
)
print(f"Dry run result: {result}")

# Apply the import
result = (
    Tables.import_csv("snowflake_prod.analytics.public.customers")
    .with_data(csv_data)
    .set_dry_run(False)
    .execute()
)

import org.openmetadata.sdk.fluent.Tables;

// Synchronous export
String csvData = Tables.exportCsv("snowflake_prod.analytics.public.customers")
    .execute();

// Async export
String jobId = Tables.exportCsv("snowflake_prod.analytics.public.customers")
    .async()
    .execute();

// Synchronous import (dry run)
String result = Tables.importCsv("snowflake_prod.analytics.public.customers")
    .withData(csvData)
    .dryRun(true)
    .execute();

// Apply import
String result = Tables.importCsv("snowflake_prod.analytics.public.customers")
    .withData(csvData)
    .dryRun(false)
    .execute();

# Export to CSV
curl "{base_url}/api/v1/tables/name/sample_data.ecommerce_db.shopify.agent_performance_summary/export" \
  -H "Authorization: Bearer {access_token}"

# Async export
curl "{base_url}/api/v1/tables/name/sample_data.ecommerce_db.shopify.agent_performance_summary/exportAsync" \
  -H "Authorization: Bearer {access_token}"

# Import CSV (dry run)
curl -X PUT "{base_url}/api/v1/tables/name/sample_data.ecommerce_db.shopify.agent_performance_summary/import?dryRun=true" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: text/plain" \
  --data-binary @table_export.csv

# Import CSV (apply)
curl -X PUT "{base_url}/api/v1/tables/name/sample_data.ecommerce_db.shopify.agent_performance_summary/import?dryRun=false" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: text/plain" \
  --data-binary @table_export.csv

"name,displayName,description,dataType,tags\nagent_id,,Agent identifier,VARCHAR,\nperformance_score,,Overall performance score,DECIMAL,"

GET

tables

name

{fqn}

export

GET /v1/tables/name/{fqn}/export

from metadata.sdk import configure
from metadata.sdk.entities import Tables

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

# Synchronous export
csv_data = Tables.export_csv("snowflake_prod.analytics.public.customers").execute()
print(csv_data)

# Async export
job = Tables.export_csv("snowflake_prod.analytics.public.customers").execute_async()
print(f"Export job: {job}")

# Synchronous import (dry run first)
result = (
    Tables.import_csv("snowflake_prod.analytics.public.customers")
    .with_data(csv_data)
    .set_dry_run(True)
    .execute()
)
print(f"Dry run result: {result}")

# Apply the import
result = (
    Tables.import_csv("snowflake_prod.analytics.public.customers")
    .with_data(csv_data)
    .set_dry_run(False)
    .execute()
)

import org.openmetadata.sdk.fluent.Tables;

// Synchronous export
String csvData = Tables.exportCsv("snowflake_prod.analytics.public.customers")
    .execute();

// Async export
String jobId = Tables.exportCsv("snowflake_prod.analytics.public.customers")
    .async()
    .execute();

// Synchronous import (dry run)
String result = Tables.importCsv("snowflake_prod.analytics.public.customers")
    .withData(csvData)
    .dryRun(true)
    .execute();

// Apply import
String result = Tables.importCsv("snowflake_prod.analytics.public.customers")
    .withData(csvData)
    .dryRun(false)
    .execute();

# Export to CSV
curl "{base_url}/api/v1/tables/name/sample_data.ecommerce_db.shopify.agent_performance_summary/export" \
  -H "Authorization: Bearer {access_token}"

# Async export
curl "{base_url}/api/v1/tables/name/sample_data.ecommerce_db.shopify.agent_performance_summary/exportAsync" \
  -H "Authorization: Bearer {access_token}"

# Import CSV (dry run)
curl -X PUT "{base_url}/api/v1/tables/name/sample_data.ecommerce_db.shopify.agent_performance_summary/import?dryRun=true" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: text/plain" \
  --data-binary @table_export.csv

# Import CSV (apply)
curl -X PUT "{base_url}/api/v1/tables/name/sample_data.ecommerce_db.shopify.agent_performance_summary/import?dryRun=false" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: text/plain" \
  --data-binary @table_export.csv

"name,displayName,description,dataType,tags\nagent_id,,Agent identifier,VARCHAR,\nperformance_score,,Overall performance score,DECIMAL,"

Import & Export

Export table metadata (columns, owners, tags, descriptions) to CSV and import changes back. Supports both synchronous and asynchronous operations.

Export to CSV

GET /v1/tables/name/{fqn}/export

fqn

string

required

Fully qualified name of the table (e.g., snowflake_prod.analytics.public.customers).

Export Async

GET /v1/tables/name/{fqn}/exportAsync Returns a job ID for large exports that can be polled for completion.

Import from CSV

PUT /v1/tables/name/{fqn}/import

fqn

string

required

Fully qualified name of the table.

dryRun

boolean

default:"true"

If true, validates the CSV without applying changes. Set to false to apply.

Import Async

PUT /v1/tables/name/{fqn}/importAsync For large imports, use the async variant which returns a job ID.

GET /v1/tables/name/{fqn}/export

from metadata.sdk import configure
from metadata.sdk.entities import Tables

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

# Synchronous export
csv_data = Tables.export_csv("snowflake_prod.analytics.public.customers").execute()
print(csv_data)

# Async export
job = Tables.export_csv("snowflake_prod.analytics.public.customers").execute_async()
print(f"Export job: {job}")

# Synchronous import (dry run first)
result = (
    Tables.import_csv("snowflake_prod.analytics.public.customers")
    .with_data(csv_data)
    .set_dry_run(True)
    .execute()
)
print(f"Dry run result: {result}")

# Apply the import
result = (
    Tables.import_csv("snowflake_prod.analytics.public.customers")
    .with_data(csv_data)
    .set_dry_run(False)
    .execute()
)

import org.openmetadata.sdk.fluent.Tables;

// Synchronous export
String csvData = Tables.exportCsv("snowflake_prod.analytics.public.customers")
    .execute();

// Async export
String jobId = Tables.exportCsv("snowflake_prod.analytics.public.customers")
    .async()
    .execute();

// Synchronous import (dry run)
String result = Tables.importCsv("snowflake_prod.analytics.public.customers")
    .withData(csvData)
    .dryRun(true)
    .execute();

// Apply import
String result = Tables.importCsv("snowflake_prod.analytics.public.customers")
    .withData(csvData)
    .dryRun(false)
    .execute();

# Export to CSV
curl "{base_url}/api/v1/tables/name/sample_data.ecommerce_db.shopify.agent_performance_summary/export" \
  -H "Authorization: Bearer {access_token}"

# Async export
curl "{base_url}/api/v1/tables/name/sample_data.ecommerce_db.shopify.agent_performance_summary/exportAsync" \
  -H "Authorization: Bearer {access_token}"

# Import CSV (dry run)
curl -X PUT "{base_url}/api/v1/tables/name/sample_data.ecommerce_db.shopify.agent_performance_summary/import?dryRun=true" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: text/plain" \
  --data-binary @table_export.csv

# Import CSV (apply)
curl -X PUT "{base_url}/api/v1/tables/name/sample_data.ecommerce_db.shopify.agent_performance_summary/import?dryRun=false" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: text/plain" \
  --data-binary @table_export.csv

"name,displayName,description,dataType,tags\nagent_id,,Agent identifier,VARCHAR,\nperformance_score,,Overall performance score,DECIMAL,"

Returns

Export returns CSV text with headers and rows for each column in the table. Import returns a summary of changes applied (or validation results for dry run).

Error Handling

Code	Error Type	Description
`401`	`UNAUTHORIZED`	Invalid or missing authentication token
`403`	`FORBIDDEN`	User lacks permission for import/export
`404`	`NOT_FOUND`	Table with given FQN does not exist
`400`	`BAD_REQUEST`	Invalid CSV format or content

Followers & Votes

List Tables

​Import & Export

​Export to CSV

​Export Async

​Import from CSV

​Import Async

​Returns

​Error Handling

Import & Export

Export to CSV

Export Async

Import from CSV

Import Async

Returns

Error Handling