Create data maps for import
To import data into Microsoft Dataverse, you must provide the appropriate data maps.
You can download examples of data maps from Microsoft Downloads: DataImportMaps.zip.
You use data maps to map the data contained in the source file to the Dataverse table columns. You must map every column in the source file to an appropriate column. The data in the unmapped columns is not imported during the data import operation.
The data map is represented by the Data Map (ImportMap) table. You can create a new map by creating new records of this table. The map has a unique name that is contained in the
ImportMap.Name column. You can specify the name of the import source for which this data map is created by using the
Column, list value, and lookup mappings
To map a column, a list value, or lookup value in the source file to a Dataverse column, use the following mappings:
Maps a column in a source file to a Dataverse column. For column mapping, use the ColumnMapping table. You can use 1:1 (one-to-one) or 1:N (one-to-many) relationships between source and target columns. For example, you can map account address information to the billing and shipping addresses in an order.
List Value Mapping
If a value specified in the source file column is a list value, such as an OptionSetValue, Status, State, and Boolean, you must provide a list value mapping additionally to a column mapping. For example, map the "bill" and "ship" list values in the source file to the bill and ship values of the OptionSetValue type.
If the value specified in the source file references a table, you must provide a lookup mapping for this value. Use the
LookupMapping.LookupSourceCode column to specify whether to search for the referenced table inside the source file or inside Dataverse. If you are using early bound types, you can use the
LookupSourceType enumeration to set the lookup values. To search inside the source file, use the
LookupSourceType.Source value. To search inside Dataverse, use the
LookupSourceType.System value. For a list of the LookupSourceCode values, see the choice values for this table. To view the metadata for your organization, install the Metadata Browser solution described in Browse the metadata for your organization. You can also browse the reference documentation for tables in the Table Reference. You can provide multiple lookup mappings. The asynchronous transformation job processes all available mappings. It finds the referenced records and updates the parse table with the record unique identifiers. For more information, see Run Data Import.
Use owner mapping to map a user specified in the source file to a user in Dataverse. For logging information, use the Dataverse user logon name. For owner mapping, use the OwnerMapping table.
Notes and attachments
Mapping for notes and attachments is handled differently from other tables. Notes and attachments are used to append additional information to a record in Dataverse. Notes are stored as text and attachments are stored as files in the Dataverse database.
To create a note in Dataverse, set the
Annotation.IsDocument column in the annotation (note) table to
false. To create an attachment, set
Use the following settings for mapping notes and attachments:
ColumnMapping.SourceAttributeNamecolumn to "
true" or "
false". The "
true" value indicates an attachment. The "
false" value indicates a note.
ColumnMapping.ProcessCodecolumn to the
ImportProcessCode.Internalvalue of the
ImportProcessCodeenumeration, if you are using early bound types. For a list of the ProcessCode values, see the choice values for this table.
If the source data represents a note, map the text of the note to the
Annotation.NoteTextcolumn. If you are working with Salesforce files, they are usually stored on the disk under unique identification numbers. To import an attachment, you must map a file identification number that is contained in the source file to the
DocumentBodycolumn stores the contents of the attachment.
The import asynchronous job checks for mappings that have the source column name set to "
true" and "
false" to discover notes and attachments. If it finds an attachment mapping, it looks for the specified files on the disk and uploads the file contents as attachments into Dataverse. If a file is not found, an error is returned.
If you do not provide mapping for an annotation (note) table, the import job generates a default mapping for the note.
The maximum size of files that can be uploaded is determined by the Organization.MaxUploadFileSize property. This property is set in the Email tab of the System Settings in the Dataverse application. This setting limits the size of files that can be attached to email messages, notes, and web resources. The default setting is 5 MB. However, an attachment size cannot exceed the maximum HTTP request size (the default is 16MB).
Import and export data maps
You can export an existing data map to an XML file and import XML data mappings into Dataverse. To export a data map from Dataverse, use the
ExportMappingsImportMap message using ExportMappingsImportMapRequest Class or the ExportMappingsImportMap Action . To import XML data mappings and create a data map in Dataverse, use the
ImportMappingsImportMap message using the ImportMappingsImportMapRequest Class or ImportMappingsImportMap Action.
Prepare source files for import
Add transformation mappings for import
Configure data import
Run data import
Data import tables
Sample: Export and import a data map
Sample: Import data using complex data map
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