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gooddata_api_client.DataSourceEntityAPIsApi

All URIs are relative to http://localhost

Method HTTP request Description
create_entity_data_sources POST /api/v1/entities/dataSources Post Data Sources
delete_entity_data_sources DELETE /api/v1/entities/dataSources/{id} Delete Data Source entity
get_all_entities_data_source_identifiers GET /api/v1/entities/dataSourceIdentifiers Get all Data Source Identifiers
get_all_entities_data_sources GET /api/v1/entities/dataSources Get Data Source entities
get_entity_data_source_identifiers GET /api/v1/entities/dataSourceIdentifiers/{id} Get Data Source Identifier
get_entity_data_sources GET /api/v1/entities/dataSources/{id} Get Data Source entity
patch_entity_data_sources PATCH /api/v1/entities/dataSources/{id} Patch Data Source entity
update_entity_data_sources PUT /api/v1/entities/dataSources/{id} Put Data Source entity

create_entity_data_sources

JsonApiDataSourceOutDocument create_entity_data_sources(json_api_data_source_in_document)

Post Data Sources

Data Source - represents data source for the workspace

Example

import time
import gooddata_api_client
from gooddata_api_client.api import data_source_entity_apis_api
from gooddata_api_client.model.json_api_data_source_in_document import JsonApiDataSourceInDocument
from gooddata_api_client.model.json_api_data_source_out_document import JsonApiDataSourceOutDocument
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = gooddata_api_client.Configuration(
    host = "http://localhost"
)


# Enter a context with an instance of the API client
with gooddata_api_client.ApiClient() as api_client:
    # Create an instance of the API class
    api_instance = data_source_entity_apis_api.DataSourceEntityAPIsApi(api_client)
    json_api_data_source_in_document = JsonApiDataSourceInDocument(
        data=JsonApiDataSourceIn(
            attributes=JsonApiDataSourceInAttributes(
                cache_strategy="ALWAYS",
                client_id="client_id_example",
                client_secret="client_secret_example",
                name="name_example",
                parameters=[
                    JsonApiDataSourceInAttributesParametersInner(
                        name="name_example",
                        value="value_example",
                    ),
                ],
                password="password_example",
                private_key="private_key_example",
                private_key_passphrase="private_key_passphrase_example",
                schema="schema_example",
                token="token_example",
                type="POSTGRESQL",
                url="url_example",
                username="username_example",
            ),
            id="id1",
            type="dataSource",
        ),
    ) # JsonApiDataSourceInDocument | 
    meta_include = [
        "metaInclude=permissions,all",
    ] # [str] | Include Meta objects. (optional)

    # example passing only required values which don't have defaults set
    try:
        # Post Data Sources
        api_response = api_instance.create_entity_data_sources(json_api_data_source_in_document)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling DataSourceEntityAPIsApi->create_entity_data_sources: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Post Data Sources
        api_response = api_instance.create_entity_data_sources(json_api_data_source_in_document, meta_include=meta_include)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling DataSourceEntityAPIsApi->create_entity_data_sources: %s\n" % e)

Parameters

Name Type Description Notes
json_api_data_source_in_document JsonApiDataSourceInDocument
meta_include [str] Include Meta objects. [optional]

Return type

JsonApiDataSourceOutDocument

Authorization

No authorization required

HTTP request headers

  • Content-Type: application/vnd.gooddata.api+json
  • Accept: application/vnd.gooddata.api+json

HTTP response details

Status code Description Response headers
201 Request successfully processed -

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delete_entity_data_sources

delete_entity_data_sources(id)

Delete Data Source entity

Data Source - represents data source for the workspace

Example

import time
import gooddata_api_client
from gooddata_api_client.api import data_source_entity_apis_api
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = gooddata_api_client.Configuration(
    host = "http://localhost"
)


# Enter a context with an instance of the API client
with gooddata_api_client.ApiClient() as api_client:
    # Create an instance of the API class
    api_instance = data_source_entity_apis_api.DataSourceEntityAPIsApi(api_client)
    id = "/6bUUGjjNSwg0_bs" # str | 
    filter = "filter=name==someString;type==DatabaseTypeValue" # str | Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). (optional)

    # example passing only required values which don't have defaults set
    try:
        # Delete Data Source entity
        api_instance.delete_entity_data_sources(id)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling DataSourceEntityAPIsApi->delete_entity_data_sources: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Delete Data Source entity
        api_instance.delete_entity_data_sources(id, filter=filter)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling DataSourceEntityAPIsApi->delete_entity_data_sources: %s\n" % e)

Parameters

Name Type Description Notes
id str
filter str Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). [optional]

Return type

void (empty response body)

Authorization

No authorization required

HTTP request headers

  • Content-Type: Not defined
  • Accept: Not defined

HTTP response details

Status code Description Response headers
204 Successfully deleted -

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get_all_entities_data_source_identifiers

JsonApiDataSourceIdentifierOutList get_all_entities_data_source_identifiers()

Get all Data Source Identifiers

Example

import time
import gooddata_api_client
from gooddata_api_client.api import data_source_entity_apis_api
from gooddata_api_client.model.json_api_data_source_identifier_out_list import JsonApiDataSourceIdentifierOutList
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = gooddata_api_client.Configuration(
    host = "http://localhost"
)


# Enter a context with an instance of the API client
with gooddata_api_client.ApiClient() as api_client:
    # Create an instance of the API class
    api_instance = data_source_entity_apis_api.DataSourceEntityAPIsApi(api_client)
    filter = "filter=name==someString;schema==someString" # str | Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). (optional)
    page = 0 # int | Zero-based page index (0..N) (optional) if omitted the server will use the default value of 0
    size = 20 # int | The size of the page to be returned (optional) if omitted the server will use the default value of 20
    sort = [
        "sort_example",
    ] # [str] | Sorting criteria in the format: property,(asc|desc). Default sort order is ascending. Multiple sort criteria are supported. (optional)
    meta_include = [
        "metaInclude=permissions,page,all",
    ] # [str] | Include Meta objects. (optional)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Get all Data Source Identifiers
        api_response = api_instance.get_all_entities_data_source_identifiers(filter=filter, page=page, size=size, sort=sort, meta_include=meta_include)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling DataSourceEntityAPIsApi->get_all_entities_data_source_identifiers: %s\n" % e)

Parameters

Name Type Description Notes
filter str Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). [optional]
page int Zero-based page index (0..N) [optional] if omitted the server will use the default value of 0
size int The size of the page to be returned [optional] if omitted the server will use the default value of 20
sort [str] Sorting criteria in the format: property,(asc desc). Default sort order is ascending. Multiple sort criteria are supported.
meta_include [str] Include Meta objects. [optional]

Return type

JsonApiDataSourceIdentifierOutList

Authorization

No authorization required

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/vnd.gooddata.api+json

HTTP response details

Status code Description Response headers
200 Request successfully processed -

[Back to top] [Back to API list] [Back to Model list] [Back to README]

get_all_entities_data_sources

JsonApiDataSourceOutList get_all_entities_data_sources()

Get Data Source entities

Data Source - represents data source for the workspace

Example

import time
import gooddata_api_client
from gooddata_api_client.api import data_source_entity_apis_api
from gooddata_api_client.model.json_api_data_source_out_list import JsonApiDataSourceOutList
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = gooddata_api_client.Configuration(
    host = "http://localhost"
)


# Enter a context with an instance of the API client
with gooddata_api_client.ApiClient() as api_client:
    # Create an instance of the API class
    api_instance = data_source_entity_apis_api.DataSourceEntityAPIsApi(api_client)
    filter = "filter=name==someString;type==DatabaseTypeValue" # str | Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). (optional)
    page = 0 # int | Zero-based page index (0..N) (optional) if omitted the server will use the default value of 0
    size = 20 # int | The size of the page to be returned (optional) if omitted the server will use the default value of 20
    sort = [
        "sort_example",
    ] # [str] | Sorting criteria in the format: property,(asc|desc). Default sort order is ascending. Multiple sort criteria are supported. (optional)
    meta_include = [
        "metaInclude=permissions,page,all",
    ] # [str] | Include Meta objects. (optional)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Get Data Source entities
        api_response = api_instance.get_all_entities_data_sources(filter=filter, page=page, size=size, sort=sort, meta_include=meta_include)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling DataSourceEntityAPIsApi->get_all_entities_data_sources: %s\n" % e)

Parameters

Name Type Description Notes
filter str Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). [optional]
page int Zero-based page index (0..N) [optional] if omitted the server will use the default value of 0
size int The size of the page to be returned [optional] if omitted the server will use the default value of 20
sort [str] Sorting criteria in the format: property,(asc desc). Default sort order is ascending. Multiple sort criteria are supported.
meta_include [str] Include Meta objects. [optional]

Return type

JsonApiDataSourceOutList

Authorization

No authorization required

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/vnd.gooddata.api+json

HTTP response details

Status code Description Response headers
200 Request successfully processed -

[Back to top] [Back to API list] [Back to Model list] [Back to README]

get_entity_data_source_identifiers

JsonApiDataSourceIdentifierOutDocument get_entity_data_source_identifiers(id)

Get Data Source Identifier

Example

import time
import gooddata_api_client
from gooddata_api_client.api import data_source_entity_apis_api
from gooddata_api_client.model.json_api_data_source_identifier_out_document import JsonApiDataSourceIdentifierOutDocument
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = gooddata_api_client.Configuration(
    host = "http://localhost"
)


# Enter a context with an instance of the API client
with gooddata_api_client.ApiClient() as api_client:
    # Create an instance of the API class
    api_instance = data_source_entity_apis_api.DataSourceEntityAPIsApi(api_client)
    id = "/6bUUGjjNSwg0_bs" # str | 
    filter = "filter=name==someString;schema==someString" # str | Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). (optional)
    meta_include = [
        "metaInclude=permissions,all",
    ] # [str] | Include Meta objects. (optional)

    # example passing only required values which don't have defaults set
    try:
        # Get Data Source Identifier
        api_response = api_instance.get_entity_data_source_identifiers(id)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling DataSourceEntityAPIsApi->get_entity_data_source_identifiers: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Get Data Source Identifier
        api_response = api_instance.get_entity_data_source_identifiers(id, filter=filter, meta_include=meta_include)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling DataSourceEntityAPIsApi->get_entity_data_source_identifiers: %s\n" % e)

Parameters

Name Type Description Notes
id str
filter str Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). [optional]
meta_include [str] Include Meta objects. [optional]

Return type

JsonApiDataSourceIdentifierOutDocument

Authorization

No authorization required

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/vnd.gooddata.api+json

HTTP response details

Status code Description Response headers
200 Request successfully processed -

[Back to top] [Back to API list] [Back to Model list] [Back to README]

get_entity_data_sources

JsonApiDataSourceOutDocument get_entity_data_sources(id)

Get Data Source entity

Data Source - represents data source for the workspace

Example

import time
import gooddata_api_client
from gooddata_api_client.api import data_source_entity_apis_api
from gooddata_api_client.model.json_api_data_source_out_document import JsonApiDataSourceOutDocument
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = gooddata_api_client.Configuration(
    host = "http://localhost"
)


# Enter a context with an instance of the API client
with gooddata_api_client.ApiClient() as api_client:
    # Create an instance of the API class
    api_instance = data_source_entity_apis_api.DataSourceEntityAPIsApi(api_client)
    id = "/6bUUGjjNSwg0_bs" # str | 
    filter = "filter=name==someString;type==DatabaseTypeValue" # str | Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). (optional)
    meta_include = [
        "metaInclude=permissions,all",
    ] # [str] | Include Meta objects. (optional)

    # example passing only required values which don't have defaults set
    try:
        # Get Data Source entity
        api_response = api_instance.get_entity_data_sources(id)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling DataSourceEntityAPIsApi->get_entity_data_sources: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Get Data Source entity
        api_response = api_instance.get_entity_data_sources(id, filter=filter, meta_include=meta_include)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling DataSourceEntityAPIsApi->get_entity_data_sources: %s\n" % e)

Parameters

Name Type Description Notes
id str
filter str Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). [optional]
meta_include [str] Include Meta objects. [optional]

Return type

JsonApiDataSourceOutDocument

Authorization

No authorization required

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/vnd.gooddata.api+json

HTTP response details

Status code Description Response headers
200 Request successfully processed -

[Back to top] [Back to API list] [Back to Model list] [Back to README]

patch_entity_data_sources

JsonApiDataSourceOutDocument patch_entity_data_sources(id, json_api_data_source_patch_document)

Patch Data Source entity

Data Source - represents data source for the workspace

Example

import time
import gooddata_api_client
from gooddata_api_client.api import data_source_entity_apis_api
from gooddata_api_client.model.json_api_data_source_patch_document import JsonApiDataSourcePatchDocument
from gooddata_api_client.model.json_api_data_source_out_document import JsonApiDataSourceOutDocument
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = gooddata_api_client.Configuration(
    host = "http://localhost"
)


# Enter a context with an instance of the API client
with gooddata_api_client.ApiClient() as api_client:
    # Create an instance of the API class
    api_instance = data_source_entity_apis_api.DataSourceEntityAPIsApi(api_client)
    id = "/6bUUGjjNSwg0_bs" # str | 
    json_api_data_source_patch_document = JsonApiDataSourcePatchDocument(
        data=JsonApiDataSourcePatch(
            attributes=JsonApiDataSourcePatchAttributes(
                cache_strategy="ALWAYS",
                client_id="client_id_example",
                client_secret="client_secret_example",
                name="name_example",
                parameters=[
                    JsonApiDataSourceInAttributesParametersInner(
                        name="name_example",
                        value="value_example",
                    ),
                ],
                password="password_example",
                private_key="private_key_example",
                private_key_passphrase="private_key_passphrase_example",
                schema="schema_example",
                token="token_example",
                type="POSTGRESQL",
                url="url_example",
                username="username_example",
            ),
            id="id1",
            type="dataSource",
        ),
    ) # JsonApiDataSourcePatchDocument | 
    filter = "filter=name==someString;type==DatabaseTypeValue" # str | Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). (optional)

    # example passing only required values which don't have defaults set
    try:
        # Patch Data Source entity
        api_response = api_instance.patch_entity_data_sources(id, json_api_data_source_patch_document)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling DataSourceEntityAPIsApi->patch_entity_data_sources: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Patch Data Source entity
        api_response = api_instance.patch_entity_data_sources(id, json_api_data_source_patch_document, filter=filter)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling DataSourceEntityAPIsApi->patch_entity_data_sources: %s\n" % e)

Parameters

Name Type Description Notes
id str
json_api_data_source_patch_document JsonApiDataSourcePatchDocument
filter str Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). [optional]

Return type

JsonApiDataSourceOutDocument

Authorization

No authorization required

HTTP request headers

  • Content-Type: application/vnd.gooddata.api+json
  • Accept: application/vnd.gooddata.api+json

HTTP response details

Status code Description Response headers
200 Request successfully processed -

[Back to top] [Back to API list] [Back to Model list] [Back to README]

update_entity_data_sources

JsonApiDataSourceOutDocument update_entity_data_sources(id, json_api_data_source_in_document)

Put Data Source entity

Data Source - represents data source for the workspace

Example

import time
import gooddata_api_client
from gooddata_api_client.api import data_source_entity_apis_api
from gooddata_api_client.model.json_api_data_source_in_document import JsonApiDataSourceInDocument
from gooddata_api_client.model.json_api_data_source_out_document import JsonApiDataSourceOutDocument
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = gooddata_api_client.Configuration(
    host = "http://localhost"
)


# Enter a context with an instance of the API client
with gooddata_api_client.ApiClient() as api_client:
    # Create an instance of the API class
    api_instance = data_source_entity_apis_api.DataSourceEntityAPIsApi(api_client)
    id = "/6bUUGjjNSwg0_bs" # str | 
    json_api_data_source_in_document = JsonApiDataSourceInDocument(
        data=JsonApiDataSourceIn(
            attributes=JsonApiDataSourceInAttributes(
                cache_strategy="ALWAYS",
                client_id="client_id_example",
                client_secret="client_secret_example",
                name="name_example",
                parameters=[
                    JsonApiDataSourceInAttributesParametersInner(
                        name="name_example",
                        value="value_example",
                    ),
                ],
                password="password_example",
                private_key="private_key_example",
                private_key_passphrase="private_key_passphrase_example",
                schema="schema_example",
                token="token_example",
                type="POSTGRESQL",
                url="url_example",
                username="username_example",
            ),
            id="id1",
            type="dataSource",
        ),
    ) # JsonApiDataSourceInDocument | 
    filter = "filter=name==someString;type==DatabaseTypeValue" # str | Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). (optional)

    # example passing only required values which don't have defaults set
    try:
        # Put Data Source entity
        api_response = api_instance.update_entity_data_sources(id, json_api_data_source_in_document)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling DataSourceEntityAPIsApi->update_entity_data_sources: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        # Put Data Source entity
        api_response = api_instance.update_entity_data_sources(id, json_api_data_source_in_document, filter=filter)
        pprint(api_response)
    except gooddata_api_client.ApiException as e:
        print("Exception when calling DataSourceEntityAPIsApi->update_entity_data_sources: %s\n" % e)

Parameters

Name Type Description Notes
id str
json_api_data_source_in_document JsonApiDataSourceInDocument
filter str Filtering parameter in RSQL. See https://github.com/jirutka/rsql-parser. You can specify any object parameter and parameter of related entity (for example title=='Some Title';description=='desc'). Additionally, if the entity relationship represents a polymorphic entity type, it can be casted to its subtypes (for example relatedEntity::subtype.subtypeProperty=='Value 123'). [optional]

Return type

JsonApiDataSourceOutDocument

Authorization

No authorization required

HTTP request headers

  • Content-Type: application/vnd.gooddata.api+json
  • Accept: application/vnd.gooddata.api+json

HTTP response details

Status code Description Response headers
200 Request successfully processed -

[Back to top] [Back to API list] [Back to Model list] [Back to README]