Get Data For Data Catalog Entry
Imports the data from a data catalog entry into MindBridge, asynchronously creating a new data table. The request can specify which columns to import, and can optionally provide a filter, a limit, an offset, and a set of sort properties to be applied when importing the data.
The data catalog entry’s source will be updated and validated before importing any data to ensure that the schema in the data catalog entry and the request are valid. If either the data catalog entry or the request are not valid, then the request will fail.
Unlike the Validate endpoint, for CONNECTION sources this endpoint does not need to call the Get Tables For Connection endpoint, as the
underlying connection table will be refreshed directly before validation. Note that the data catalog entry’s own column definitions are not
automatically updated from the connection — they reflect the schema at the time the entry was created.
Permissions
api.data-catalog-entries.readapi.data-tables.write
Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Path Parameters
Body
Identifies the engagement that the resulting Data Table will be associated with.
The list of columns to retrieve from the data source.
1Optional filter to apply to the data retrieval. If not set, all rows are returned unfiltered.
- Option 1
- Option 2
- Option 3
- Option 4
- Option 5
- Option 6
- Option 7
- Option 8
- Option 9
- Option 10
- Option 11
- Option 12
- Option 13
- Option 14
- Option 15
- Option 16
- Option 17
- Option 18
- Option 19
- Option 20
Maximum number of rows to return. If not set, all matching rows are returned.
x >= 0Number of rows to skip before returning results. If not set, results start from the first row.
x >= 0Optional sort specification ordered by precedence. Remotes that support server-side sorting will apply it; remotes that don't will ignore it.
Response
Accepted
The unique object identifier.
Indicates the data integrity version to ensure data consistency.
The date that the object was originally created.
The date that the object was last updated or modified.
Details about the user who created the object.
Details about the user who last modified or updated the object.
Indicates the type of job being run.
ANALYSIS_RUN, ANALYSIS_SOURCE_INGESTION, ADMIN_REPORT, DATA_TABLE_EXPORT, ANALYSIS_ROLL_FORWARD, GDPDU_UNPACK_JOB, ACCOUNT_GROUPING_EXPORT, ACCOUNT_MAPPING_EXPORT, DATA_TRANSFORMATION_JOB, CONNECTION_TEST, CONNECTION_TABLES, DATA_TABLE, DATA_SOURCE_IMPORT, FILE_MANAGER_TO_DATA_TABLE Indicates the current state of the job.
IN_PROGRESS, COMPLETE, ERROR Identifies the entity used in the job.
Identifies the entity type used in the job.
ORGANIZATION, ENGAGEMENT, ANALYSIS, ANALYSIS_RESULT, ANALYSIS_SOURCE, FILE_RESULT, GDPDU_UNPACK_JOB, ACCOUNT_GROUPING, ENGAGEMENT_ACCOUNT_GROUPING, FILE_MANAGER_FILE, CONNECTION_TEST_RESULT, CONNECTION_TABLES_RESULT, DATA_TABLE, DATA_SOURCE_IMPORT_TASK The reason why the async job failed.

