Run data import

Artikkeli
08/04/2022

Data import runs directly on the Microsoft Dataverse server. To run data import, set up asynchronous jobs to run in the background that do the following, in this order:

Parse source data that is contained in the import file.
Transform parsed data by using the data map.
Upload transformed data into Dataverse.

All Dataverse users who have appropriate permissions can run data import.

Parse source data

Parsing source data includes parsing of all import files associated with a particular import (data import).

Parsed data is stored in the temporary parse tables that are created for every imported file. The name of the parse table is stored in the ImportFile.ParsedTableName column. The source file column headings are specified in the ImportFile.HeaderRow column. If the source file does not include a first row that contains the column headings, this column specifies the system-generated default column headings.

Save parsed data in the parse table by using the ParseImport message. Retrieve data from the parse table by using the GetDistinctValuesImportFile message and the RetrieveParsedDataImportFile message .

The following table lists the messages that you can use to parse the import files and retrieve the parsed data from the parse tables.

Message SDK Class Web API Action or Function	Description
`ParseImportRequest` ParseImportRequest Class ParseImport Action	Submits an asynchronous job that parses all import files associated with the specified import (data import). Pass the ID of the associated import (data import) in the `ImportId` property of this request. The ID of the asynchronous job that runs in the background and performs parsing of data is returned in the `AsyncOperationId` property of the response.
`GetDistinctValuesImportFile` GetDistinctValuesImportFileRequest Class GetDistinctValuesImportFile Function	Returns distinct values for a column in the source file that contains list values. Pass the ID of the associated import file in the `ImportFileId` property of this request. The distinct values are returned in an array of strings, in the `Values` property of the response. Use this message only after you have created a parse table by using the `ParseImport` message. Important: Do not use this message after you use the `ImportRecordsImport` message. You cannot access the parse table after the import job submitted by the `ImportRecordsImport` message has finished running.
`RetrieveParsedDataImportFile` RetrieveParsedDataImportFileRequest Class RetrieveParsedDataImportFile Function	Retrieves the data from the parse table. Pass the ID of the associated import file in the `ImportFileId` property of this request. The parsed data is returned in a two-dimensional array of strings in the `Values` property of the response. The data is returned with the same column order as the column order in the source file. Use this message only after you have created a parse table by using the `ParseImport` message. Important: Do not use this message after you use the `ImportRecordsImport` message. You cannot access the parse table after the import job submitted by the `ImportRecordsImport` message has finished running.

Transform parsed data

During transformation, you change parsed data by applying all available data mappings and transformations that are associated with a particular import (data import) to the data.

Use the TransformImport message using the TransformImportRequest Class or TransformImport Action to submit an asynchronous job to transform the parsed data. Pass a unique identifier of the associated import (data import) in the Import.ImportId column of the request. A unique identifier of the asynchronous job that runs in the background and performs the transformation is returned in the AsyncOperationId property of the message response.

Upload transformed data to the target server

After you successfully complete the transformation, the data is ready to be uploaded into the Dataverse server.

Use the ImportRecordsImport message using the ImportRecordsImportRequest Class or ImportRecordsImport Action to submit an asynchronous job to upload the transformed data into Dataverse. The unique identifier of the associated import (data import) must be specified in the ImportId parameter of the request. A unique identifier of the asynchronous job that runs in the background and uploads the data into Dataverse is returned in the AsyncOperationId property of the response. All import files that are associated with the specified import (data import) are imported.

Each import job has a unique sequence number that it stores in the ImportSequenceNumber column of records it creates. The Organization.CurrentImportSequenceNumber column contains a unique sequence number of the last import job that ran in the system. You can use these unique sequence numbers to track records that belong to one import job.

Log failures

A failure to import a record can occur during parsing, transformation, or uploading of data. The failure reasons and other detailed information about the records that failed to import are captured in the import log (ImportLog) table.

To find out how many records failed to import, retrieve the ImportFile.FailureCount column of the record. To verify how many records had partial failures during import, retrieve the ImportData.HasError column. If the HasError column is true, a partial failure occurred, if it is false, the record imported successfully.

Import auditing data

The Dataverse tables have four default columns that are used to track the date and time when a record was created and last modified, and the person who created and modified it.

The createdon column specifies the date and time that the record was created. To import data in the createdon column, map the source column that contains this data to the overriddencreatedon column. During import, the record's createdon column is updated with the value that was mapped to the overriddencreatedon column and the overriddencreatedon column is set to the date and time that the data was imported. If no source value is mapped to the overriddencreatedon column, the createdon column is set to the date and time that the data was imported and the overriddencreatedon column is not set to any value.

Note

To override the value in the createdon column during import, you need the prvOverrideCreatedOnCreatedBy privilege. Note that the privilege name implies that you can also override the createdby column during import. However, this capability is not currently supported.

You cannot import data into the modifiedon, createdby, and modifiedby columns. If you have to store data related to who created and modified the data and when the data was modified, you can create custom columns in Dataverse and map the source columns to the new custom columns.

Jaa

Run data import

Parse source data

Transform parsed data

Upload transformed data to the target server

Log failures

Import auditing data

See Also

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