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Data Loader



Use Data Loader to add, update and delete data in AdaptiveWork, by uploading Excel (xls, xlsx) or csv files. This includes Work Items such as projects and tasks, other AdaptiveWork objects like reviewers, resources, or even custom fields. You can also upload complete Work Plans with using the full hierarchy of items.

Data Loader also gives you the option to roll back uploaded data if needed.

Note: The data loader utilizes API calls for its functionality and therefore adheres to the API governance and specifications defined by AdaptiveWork.

How it Works

The process is a 2-stage process:

  1. A file is uploaded using the Data Loader, which contains the data to be inserted or updated. The data is then verified with pre-load validations. Data is still not in AdaptiveWork.
  2. Once validated, an email is generated and sent to the User who performed the upload procedure, and a task with the load details opens on a default upload project within the organization. The task will typically come with a few attached documents including the original load file with the data, an Errors/Messages file from the load, and an Undo file to undo the transaction.

Tip: It is strongly recommended that the User performing the upload procedure is an Admin User, Super User, or Financial User, to avoid 'update blocks' due to insufficient permissions.

Adding Data

The process includes preparing the Excel/csv file, uploading the file, receiving the validation, and finalizing the process.

  1. If not yet installed, go to the apps marketplace and install the Data Loader app.
  2. In Excel, add the item's properties in the first row. In subsequent rows, add the items. For example, for Users, properties include first and last name.


    For WBS or work plan, under the EntityType column header add the relevant Item Types, such as Project or Milestone. The following columns contain the details such as name, start date, etc. A Level prefix defines a sub-level. For example, if the project is a sub-project, then the name will appear under the column with the prefix Level2:Name.

  3. For Reviewers and Resources items, add Link: to the prefix of the column header, for example: Link: Reviewers. You can add multiple values using comma delimiters between them.

    About the field data
  • The field names specified in the Header row may contain the API name or the field screen name
  • Custom fields (of all types) are supported out of the box just like AdaptiveWork system fields
  • The special type field formats (such as Duration and Money) are identical to those within AdaptiveWork
  • Reference to item fields (Users excluded) are mapped by the ExternalId, Sysid or by name (as last resort)
  • Reference to User fields are mapped by the ExternalId, email address, Display name and User name
  • Reference to items in link fields (Resources, Reviewers, Customers etc.) operate with the same logic as regular reference to item fields with a comma separator

Note about picklists
When adding new picklist values, you must add the new values under the ExternalId column, rather than under the Description column. Add the ExternalId column to your file if it does not exist.

  1. In AdaptiveWork, from the main menu, click Custom Actions > Data Loader.
  2. Select the Item Type from the drop-down list. Click Advanced to see more options, and to download the field descriptions to get all possible fields for the object type.
    • Fields Lookup - See a list of fields in rows
    • Fields List - See a list of fields in columns, can be used to upload data

  3. Provide an optional name for the loading process.
  4. Select your file and click Upload.

    Data is verified and results are displayed.

    Click on the yellow triangle to see any issues that may need fixing.
    To see all messages, click to download the file.

  5. Click Update AdaptiveWork.

You will now receive an email confirming the data has been uploaded to AdaptiveWork.

Click on the added item link from in the Data Loader to open the new item.
The first time you upload data, a project is created and within it a task for each data upload.

Each task includes attached files for the original import list, error logs and the undo transaction list.

Rolling Back an Upload

To undo a transaction, select a task and click Custom Actions > Rollback Load.


Updating Data

Update existing records in AdaptiveWork-specific tables (item types) using the item type identifier. You must choose which item identifier to use.

Then, add the PK (primary key) prefix for the object, for example: PK:Email.

The values in these columns will be added into the "where condition" that finds the relevant item.





You can insert and update records in the same transaction by specifying the item type identifier column. If the identifier exists in the row, an update is performed, and if the identifier is blank, an insertion is performed.

When the file is ready, follow the same upload procedure explained above.

Loading an Entire Work Plan

You can load an entire project into AdaptiveWork, including sub-projects and nested work items.

To load a work plan file:

  1. Add a column named EntityType and specify the relevant work items type (project, milestone or task).
  2. Select the work item item type and load a file containing 'Level1:Name', 'Level2:Name'…'LevelN:Name' in the file Header row.



Adding Work items to an Existing Project

To add work items to an existing project you have to run a designated custom action on the specific project.

All work items loaded in this load are linked to the selected project.

Adding Data Using a Template

You can specify a list of project and/or milestones that you want to create from a template. Add a column with the value FromTemplate in the header row.

When creating a project from a template, the values identify the data cells in the template name in AdaptiveWork (for example, My Template Name).


When creating a milestone from a template, enter the template names in the data, followed by a comma, and the milestone parent name (for example, My Template Name,Parent name).


Deleting Items

To delete items:

  1. In the Data Loader app, open the Item Type drop-down list, scroll down to the bottom of the list, and select Delete.
  2. In the Excel file, include the EntityType (such as task, resource, etc.) and its related ExternalID.
    To get the External ID of an item, you have a number of methods:
    1. You can add the External ID to your grid view in AdaptiveWork, and then export to Excel.

    2. You can generate a report from the Reports module that includes External IDs.
    3. You can use the Excel Add-in to extract External IDs.
  3. Now upload the file as you would for adding and editing data. Select your Excel file and click Upload. See Adding and Uploading Data.

Undo an Upload

At any time, you can decide to undo the entire load and delete all the records inserted in a specific load batch.

The Undo feature works only on inserted records and not on updated ones.

To undo a specific load:

  1. Click Advance.
  2. Click Undo Load.
  3. Search for the relevant load transaction.
  4. Click the Undo button for the specific load, and wait for the record to be deleted.


API Support

You can also activate this load process by invoking a REST API web service.

To activate this functionality, please contact your AdaptiveWork representative.

Example Files

Excel file examples are available for download.


Data uploaded through the use of Data Loader must comply with any constraints imposed by the product user interface.