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159 lines
6.7 KiB
Markdown
159 lines
6.7 KiB
Markdown
---
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layout: article
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title: Roadmap
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description: The Data Controller roadmap is aligned with the needs of our customers - we continue to build and prioritise on Features requested by new and existing customers.
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og_image: https://i.imgur.com/xFGhgg0.png
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---
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# Roadmap
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## Overview
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On this page you can find details of the Features that have currently been requested, that we agree would add value to the product, and are therefore in our development roadmap.
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If you would like to see a new Feature added to Data Controller, then let's have a chat!
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## Requested Features
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When features are requested, we will describe the work to be performed in the sections below.
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The following features are currently requested:
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* Ability to set 'number of approvals' to zero, enabling instant updates (4 days)
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* Ability to restore previous versions
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* Ability to make automated submissions using an API
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### Set Approvals to Zero
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The following changes are necessary to implement this feature:
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* Adjust restriction on MPE_TABLES allowing 0 in NUM_APPROVALS_REQD
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* Refactor `editors/postdata` enabling execution from `editors/stagedata`
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* Additions to the test suite
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* Pre-flight checks to ensure the SUBMITTER has APPROVAL rights prior to submit
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* Log handling
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* Updates to documentation
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* Release Notes
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### Complex Excel Uploads
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Our customer was ingesting Basel III reports into SAS and needed an easy to use mechanism for extracting very specific cells and ranges from a complex and constantly changing workbook format.
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The changes we made to deliver this feature are described here: https://git.datacontroller.io/dc/dc/issues/69
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### API Submissions
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Described [here](https://docs.datacontroller.io/api/).
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## Delivered Features
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Below are some examples of Features that have been requested (and delivered) into Data Controller.
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### Column Level Security
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The columns that can be VIEWed or EDITed are now configurable. See [docs](/column-level-security)
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### Support for Special SAS Missing Numerics
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It is now possible to VIEW and EDIT special SAS missings, eg `.a` through to `.z` and `._`
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### Ability to View & Edit Formats
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Format Catalogs can now be viewed, filtered, exported and edited. See [docs](/formats)
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### Change Tracking Information in a Single Transaction Table
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Now available in [mpe_audit](/mpe_audit.md)
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### Dynamic Filtering
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Previously, if a user filtered on, say, "region", and then filtered on "store", they would see stores for ALL regions (not just the region/regions already selected in the filter).
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**Solution**
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We added a checkbox to the top left of the filter dialog (default ON) for "Dynamic Where Clause". Whilst enabled, whenever a list of values is requested, it is filtered using every filter clause EXCEPT the one currently being modified.
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See [documentation](/filter/). Available from [v.3.12.](https://datacontroller.io/3-12-four-new-data-management-features/)
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### Dynamic Cell Validation
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When editing a value in a grid, the values presented to the user should be filtered according to additional rules, based on the values of other cells in the same row.
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**Solution**
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We provided two new config item in the MPE_VALIDATIONS table - to links an editable column to a HOOK script via a web service.
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The configuration would like like so:
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In this way, the entire record can be sent to SAS, for processing by the hook script, before returning the desired list of values.
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The HOOK_SCRIPT can be either a SAS program on a filesystem (identified by a ".sas" extension) or the path to a registered SAS Service (STP or JES). The latter is identified by the absence of an extension.
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This approach provides maximum flexibility for delivering bespoke values in the edit grid dropdown.
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See [documentation](/dynamic-cell-dropdown/). Available from [v.3.12.](https://datacontroller.io/3-12-four-new-data-management-features/)
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---
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### Row Level Security
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Row level security is provided by various products in both SAS 9 and Viya, based on the logged in user identity.
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This is problematic for the EDIT page, which - by necessity - operates under system account credentials.
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It is also the case that some customers need row level security but the data access engine does not support that.
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Therefore, there was a need to configure such a feature within the Data Controller product.
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**Solution**
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A new table (MPE_ROW_LEVEL_SECURITY) was added to the data controller library to allow complex rules to be applied based on the SAS group and the target table. Documentation is [here](/row-level-security/)
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Available from [v.3.12.](https://datacontroller.io/3-12-four-new-data-management-features/)
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### Formula Preservation
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Data Controller uses an OEM licence with the excellent [sheetJS](https://sheetjs.com/) library. This enables us to read pretty much any version of Excel at breakneck speeds.
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By default, Data Controller will use the data model of the target table when extracting data, eg to determine whether a column should be character, numeric, date, datetime or time.
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Formats used to be ignored and only the cell _values_ would be extracted when formulas are being used.
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Now, it is possible to extract and retain the actual formula itself, so it can be re-used when downloading the data again later.
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**Solution**
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A new table (MPE_EXCEL_CONFIG) was be added to the data controller library to allow the column with the formula to be specified. See [documentation](/excel/)
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Available from [v.3.12.](https://datacontroller.io/3-12-four-new-data-management-features/)
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### Configurable Locale
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When importing spreadsheets with ambiguous dates (eg 01/02 or 02/01) the ANYDTDTM. informat was using the locale of the browser (en_us) instead of that of the client's actual country, resulting in incorrect dates being loaded. This is due to the [default behaviour](https://rawsas.com/look-out-locale-gotcha/) of the SAS Stored Process server.
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**Solution**
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We added a [new config item](/dcc-options/#dc_locale) so that the locale can be explicitly set for all Data Controller users.
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### Restricted Viewer
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Data Controller relies on metadata permissions (in SAS 9) or authorization rules (in Viya) to determine who can see which table.
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We had a customer who was using Data Controller to provide data access to a company wide audience, most of whom did not have access to SAS client tools (such as Enterprise Guide) and so had not been set up in metadata before.
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It was necessary to find a way to restrict the tables which certain groups could see, without having to tweak permissions in SAS Management Console.
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**Solution**
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We added a [new access level](/dcc-security/#view) in the MPE_SECURITY table so that access could be restricted at both TABLE and LIBRARY level.
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