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Alteryx Designer Desktop Ideas

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I'm testing out the new Data Connection Manager (DCM) and think it needs 1 enhancement based on the way we'd use DCM. Whenever Alteryx opens, it should sync the Data Sources/Credentials from the Server. This is critically important when sharing these with more than 1 user when a password needs updated.

 

For example, DesignerA updates the password in the source system, and then updates the password in their Designer DCM settings. In order for this new password to get synced to DesignerB, 2 things have to manually happen: DesignerA would need to sync the new password to the server, and then DesignerB would need to sync the new password from the server. I can live with the first part where DesignerA needs to sync to the server. It's just part of the password update process. The second step though seems perilous. DesignerB should get the new password without having to do anything; as things currently stand, DesignerB will have the old password until they manually intervene and sync the password. Imagine a scenario where it's just DesignerB, but hundreds of people who would all have to sync their credentials. 

 

I also think this idea makes sense in light of the way Data Connections currently work (pre 21.4) where a similar sync happens automatically every time alteryx opens.  

Hello all,

MonetDB is a very light, fast, open-source database available here :
https://www.monetdb.org/

 
image.png

 

Really enjoy it, works pretty well with Tableau and it's a good introduction to column-store concepts and analytics with SQL.

 

It has also gained a lot of popularity these last years :
https://db-engines.com/en/ranking_trend/system/MonetDB



Sadly, Alteryx does not support it yet.

Best regards

Whenever I overwrite an Excel sheet with data of the same format just different values (e.g. Q2 data versus Q1 data) all of my Pivot Tables break and I have to manually recreate them even though the schema didn't change.  Somehow the Table is being deleted/removed and replaced with a completely different Table which is what causes the Pivot Tables to break.  The only way to avoid this is to manually set the Cell Range, but who has time for that?  The only solution I have found is to manually copy all values and paste them over the existing data which is very inefficient the more sheets you are working with.

Would love to see an option to disable a specific Output tool (rather than the global "Disable All Tools that Write Output" option). I'm envisioning the inverse of the Email tool, where there is a checkbox to enable Email... rather, the Output tool could have a check box that would disable that output (and ONLY that output), similar/consistent with the "Disable All Tools" function. A "Disable This Output" check box. The benefits would be a quick way to make sure not to overwrite something in one output (but still getting all the good content in all the other outputs) rather than having to go through the multiple clicks of adding to a container and then disabling the container. Could have benefits for connecting with Action tools/interface toggles as well. It would likely need to contain the same/similar formatting in Designer to indicate it has been disabled, though maybe a slightly different color so you could tell it was disabled differently? 

 

(On a similar vein, would love to take this opportunity to bring up my favorite idea-that-has-not-been-implemented-yet-that-would-love-your-vote-and-attention, implementing a Warning that outputs are disabled when posting to Gallery...)

 

Cheers!

NJ

Please add support for Databricks' Unity Catalog

 

Currently, when selecting a Databricks-connection in the “Connect In-DB”-tool, and opening the “Query Builder”, only tables in the catalog named “hive_metastore” are listed. That is, Alteryx submits the following SQL query to Databricks:

Listing tables 'catalog : hive\_metastore, schemaPattern : %, tableTypes : null, tableName : %'

 

However, with Unity Catalog in Databricks the namespace is three-tier and there may be multiple catalogs (and not just the "hive_metastore" catalog), see https://docs.microsoft.com/en-gb/azure/databricks/lakehouse/data-objects#--what-is-a-catalog

 

I reached out to Alteryx support, which replied that you currently have a feature request for implementing this change (ID TDCB-4056) and they furthermore suggested that I post here.

 

Thanks in advance.

The Output tool currently creates a zero-row file if you filter all the rows out (an empty file)

 

However - there's a very common need to say "don't generate a file at all if there are zero rows" - for example if you are generating a "Daily Details" file and there are no daily details today, you want to suppress this file.   This frequently trips up newer users since the only way to suppress a zero-row output file today is to it with macros.

 

Could you add a flag to the output tool to "Suppress empty files" so that if there are no rows to be written, Alteryx does NOT create an empty file?   This way the user can be in control of what to do with empty record sets?

 

Hello,

According to wikipedia :

 

A partition is a division of a logical database or its constituent elements into distinct independent parts. Database partitioning is normally done for manageability, performance or availability reasons, or for load balancing. It is popular in distributed database management systems, where each partition may be spread over multiple nodes, with users at the node performing local transactions on the partition. This increases performance for sites that have regular transactions involving certain views of data, whilst maintaining availability and security. 

 

 

Well, basically, you split your table in several parts, according to a field. it's very useful in term of performance when your workflows are in delta or when all your queries are based on a date. (e.g. : my table helps me to follow my sales month by month, I partition my table by month).

So the idea is to support that in Alteryx, it will add a good value, especially in In-DB workflows.

Best regards,

Simon

I would like to suggest creating a fix to allow In-DB Connect tool's custom SQL to read Common Table Expressions. As of 2018.2, the SQL fails due to the fact that In-DB tools wrap everything in a select * statement. Since CTE's need to start with With, this causes the SQL to error out. This would be a huge help instead of having to write nested sub selects in a long, complex SQL code!

Desperately looking for a way to connect to SQL Server Analysis Services through Alteryx as more and more of our large datasets from our older systems are moving to here in the next few months. We can connect using PowerBi with limitations (connecting 'Live' does not allow merge and connecting with Import, you need to use MDX or DAX syntax). We run into import and export limitations, too. We are not allowed access to the underlying tables, but the tables with the measures, dimensions and fields. PowerBi is a big step up from pivot tables, but Alteryx would be so much better. Ideas for connecting this up are are welcome!

 

Using the Output tool to send data to a formatted spreadsheet apparently doesn't preserve formatting if the entire column is formatted.  I'd love this changed to keep the formatting when its applied to an entire column.  See this thread in Designer Discussions. 

Hi all,

 

The SalesForce Input tool is great.. but has some really bad limitations when it comes to report. 

I think there are 2 main limitations :

 

A - It can only consume 2000 rows due to the rest api limitation. There plenty of articles about it in the community.

B - Long string such as text comment are cutout after a certain number of characters. 

 

Thanks to this great article : https://community.alteryx.com/t5/Alteryx-Designer-Discussions/Salesforce-Input-Tool-amp-Going-Beyond... , I had the idea of going through a csv file export to then import the data into Alteryx. 

I've done it using two consequent download tool. The first download is used to get the session id and the second to export a report into a csv in the temp folder. This temp file can then be read using a dynamic input workflow. 

 

Long story short, I think Alteryx should upgrade the Salesforce connector to make it more robust and usable. Using the export to csv feature, this should enable Alteryx to be fully compatible with Salesforce report.

 

Regards,

The SQL Editor window could have a better presentation of the SQL code; two issues observed

  • First, that it's simply plain text without even a fixed-width font, much less syntax highlighting
  • Second, if you type in some manually formatted SQL code (e.g. with line feeds and indentation), then click on the "Visual Query Builder" button, then click back to the "SQL Editor" button, all the formatting is lost as it is converted to one run-on line of code, which is very difficult to read.

I understand that going between the Visual Query Builder and the SQL Editor is bound to have some issues; nonetheless the "idea" is to allow a user friendly display in the SQL Editor window:

My "implementation ideas" are based on a couple minutes with google, so hopefully this is a very feasible request; my user base is very likely to spend more time in the SQL editor than not, so this would be a valuable UX addition.  Thanks!

 

Hi,

A lot of companies now are deploying on both AWS and Microsoft Azure.

Alteryx supports AWS S3 object storage out of the box, it would be important to support Microsoft Azure blob as part of the native Alteryx product as well. 

Cheers,

Adrian

Statistics are tools used by a lot of DB to improve speed of queries (Hive, Vertica, etc...). It may be interesting to have an option on the write in db or data stream in to calculate the statistics. (something like a check box for )

 

Example on Hive : analyse {table} comute statistics; analyse {table} compute statistics for columns;

Please add official support for newer versions of Microsoft SQL Server and the related drivers.

 

According to the data sources article for Microsoft SQL Server (https://help.alteryx.com/current/DataSources/SQLServer.htm), and validation via a support ticket, only the following products have been tested and validated with Alteryx Designer/Server:

 

Microsoft SQL Server

Validated On: 2008, 2012, 2014, and 2016.

  • No R versions are mentioned (2008 R2, for instance)
  • SQL Server 2017, which was released in October of 2017, is notably missing from the list.
  • SQL Server 2019, while fairly new (~6 months old), is also missing

This is one of the most popular data sources, and the lack of support for newer versions (especially a 2+ year old product like Sql Server 2017) is hard to fathom.

 

ODBC Driver for SQL Server/SQL Server Native Client

Validated on ODBC Driver: 11, 13, 13.1

Validated on SQL Server Native Client: 10,11

Hi,

I'm not finding it anywhere as a current option, but my company uses branded PowerPoint slides using our logo, these slides are in 16.:9 (widescreen) for slide size, but Alteryx won't output to that size even if I choose custom for page size & have Widescreen selected as an option. Could there be an Advanced Options button added that would allow users more output choices, like choosing the 16:9 ratio size output? Without it, I'm having to output the largest map I can create (13 x 9.75 in Report Map tool) and then stretch/shrink to get it to fit the 16:9 slide...for every single map/slide (currently making 40 maps at once).

 

Is there a work around to accomplish my goal currently? And if not, could the option be added to the Render tool? Thank you!

It would be great if we could have a Windows Active Directory data connector tool added to the standard Alteryx toolset.

 

MS Excel Power Query and PowerBI both can connect to Active Directory for use as a data source, but are both very cumbersome to use.  Having a connector in Alteryx that can read AD data into a workflow would be super helpful for a long list of use cases.  A couple that are top of mind for me are:

 

-Leveraging group membership info for dynamic distribution of reports or datasets

-Being able to build reporting and dashboards about the organization (useful for Tech audit, HR, etc.) 

 

I've seen links to an old project on GitHub of someone that started development on this, but the method (just copy these random .dlls into your program directory) is seriously frowned upon by any enterpise IT.  Would be great if Alteryx could pick up that work, polish it a bit and add it to the actual Alteryx Designer toolset.

It is my understanding that hidden in each yxdb is metadata.  The following use case is common:

 

As an Alteryx Developer/Designer I want to know the source of a yxdb.  

 

Ideally, I would know as much about the workflow (name, path, workflow version, AYX version, userid) as possible.

 

It would be awesome to be construct a workflow that would allow me to search the metadata of yxdb's on my client computers quickly.

 

Cheers,

 

Mark

As of today, for a full refresh, I can :

-create a new table

-overwrite a table. (will drop and then create the new table)

But sometimes, the workflow fails and the old table is dropped while the new one is not created. I have to modify the tool (setting "create a new table")to launch it again, which may be a complex process in companies. After that, I have to modify it again back to "overwrite".

What I want :

-create a new table-error if table already exists

-overwrite a table-error if table doesn't exist

-overwrite a table-no error if table doesn't exist (easy in sql : drop if exists...)

 

Thanks!

 

When I create a new table in a in-Db workflow, I want to specify some contraints, especially the Primary Key/Foreign Key

 

For PK/FK, the UX could be either the selection of some fields of the flow or a free field (to let the user choose a constant).

From wikipedia :

In the relational model of databases, a primary key is a specific choice of a minimal set of attributes (columns) that uniquely specify a tuple (row) in a relation (table).[a] Informally, a primary key is "which attributes identify a record", and in simple cases are simply a single attribute: a unique id. 

So, basically, PK/FK helps in two ways :
1/ Check for duplicate, check if the value inserted is legit

2/ Improve query plan, especially for join

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