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In the tools that embed the "Rename" option (Select, Append Fields, Join, Join Multiple), copying the new name will copy all the information of the field configuration : tick/untick, original field name, type, size, new name and description.

 

Renaming the field "Rename_Field"Renaming the field "Rename_Field"

 

 

Capture2.PNG

 

In my opinion, it should copy only the new name. This would be useful, especially because when you change the name of a field, it isn't automatically changed in subsequent tools, so copying it to replace it in those tools is faster than retyping it every time.

Add the remove or add Prefix or Suffix Feature on the Summary Tool because this is where the prefix is added automatically by the Summary tool, so instead of adding a new select tool after the Summary tool to remove the prefix. why not to embed it with the summary tool it self. 

SaadNaser_1-1680691189920.png

SaadNaser_2-1680691215294.png

 

 

 

 

 

 

Hello all,

We all know for sure that != is the Alteryx operator for inequality. However, I suggest the implementation of <> as an other operator for inequality. Why ?

<> is a very common operator in most languages/tools such as SQL, Qlik or Tableau. It's by far more intuitive than != and it will help interoperability and copy/paste of expression between tools or from/to in-database mode to/from in-memory mode.

Best regards,

Simon

The Join Tool tells you which records did not match (Left and Right) but it does not tell you what fields it did not match on.  This could quickly help the analyst determine which fields they need to look into to determine why there are unmatched records.  When joining on 5+ fields it becomes difficult to determine why some records did not match without manually inspecting each record which is time consuming.  The column title could be: Unmatched Field(s) and the values should be concatenated separated by commas.

I would like a way to disable all containers within a workflow with a single click.  It could be simply disable / enable all or a series of check boxes, one for each container, where you can choose to disable / enable all or a chosen selection. 

 

In large workflows, with many containers, if you want to run a single container while testing it can take a while to scroll up and down the workflow disabling each container in turn.  

I am working with complex workflows which use multiple files as input, located on network drives. Input tools are Input Data, Directory, Wildcard Input, Wildcard XLSX Input (from CReW macros).

 

Regularly, I experience very slow Designer when working on the workflows, and slow progress when running the tools mentioned above, especially when working from home. Switching off Auto Configure did not really help because I the column list sometimes does not converge even after pressing F5 multiple times, and when actively working on workflows, I have to press F5 all the time...

 

In order to speed up both working on workflows and running the workflows, I would like to propose a function "Cache all File Inputs" which loads and caches all file inputs at once. To achieve this state, I now have Cache and Run workflow once per every file input.

The idea is to have a Run option, where the workflow runs everything up to the selected tool (Like the Cache functionality does).

You select the tool, hit Run Up and the workflows executes everything "before" the selected tool.

 

That'll make developing much easier, specially when dealing with big workflows and constant changing data.

Aguisande_0-1649437823125.png

 

Hello,

A lot of time, when you have a dataset, you want to know if there is a group of fields that works together. That can help to normalize (like de-joining) your data model for dataviz, performance issue or simplify your analysis.

Exemple

 

order_id item_id label model_id length color amount

11A1015Blue101
21A1015Blue101
32B1015Blue101
42B1015Blue101
52B1015Blue101
63C2025Red101
73C2025Red101
83C2025Red101
94D2025Red101
104D2025Red101
114D2025Red101

Here, we could split the table in three :
-order

 

order_id item_id model_id amount

1110101,2
2110103
3210104,8
4210106,6
5210108,4
6320110,2
7320112
8320113,8
9420115,6
10420117,4
11420119,2

-model

 

model_id length color

1015Blue
2025Red

-item

 

item_id label

1A
2B
3C
4D

The tool would take :
-a dataframe in entry
-configuration : ability to select fields.
-output : a table with the recap of groups

<style> </style>

field group field remaining fields

1item_idFalse
1labelFalse
2model_idFalse
2colorFalse
3order_idTrue
3link to group 1True
3link to group 2True
3amountTrue

Very important : the non-selected fields (like here, amount), are in the result but all in the "remaining" group.

Algo steps:
1/pre-groups : count distinct of each fields. goal : optimization of algo, to avoid to calculate all pairs
fields that has the same count distinct than the number of rows are automatically excluded and sent to the remaining group
fields that have have the same count distinct are set in the same pre-group

2/ for each group, for each pair of fields,
let's do a distinct of value of the pair
like here

 

item_id label

1A
2B
3C
4D

if in this table, the count distinct of each field is equal to the number of rows, it's a "pair-group"

here, for the model, you will have
-model_id,length
-model_id,color
-length,color

3/Since a field can only belong to one group, it means model_id,length,color which would first (or second) group, then item_id and label

If a field does not belong to a group, he goes to "remaining group" at the end

in the remaining group, you can add a link to the other group since you don't know which field is the key.

<style> </style>

field group field remaining fields

1item_idFalse
1labelFalse
2model_idFalse
2lengthFalse
2colorFalse
3order_idTrue
3link to group 1True
3link to group 2True
3amountTrue

Best regards,

Simon

PS : I have in mind an evolution with links between non-remaining table (like here, the model could be linked to the item as an option)

Hello all,

As of today, you can only (officially) connect to a postgresql through ODBC with the SIMBA driver
help page :
https://help.alteryx.com/current/en/designer/data-sources/postgresql.html#postgresql

 

 

image.png

You have to download the driver from your license page

 

image.png


However there is a perfectly fine official driver for postgresql here https://www.postgresql.org/ftp/odbc/releases/

I would like Alteryx to support it for several obvious reasons :
1/I don't want several drivers for the same database
2/the simba driver is not supported for last releases of postgresql
3/the simba driver is somehow less robust than the official driver
4/well... it's the official driver and this leads to unecessary between Alteryx admin/users and PG db admin.

Best regards,

Simon

When I make the workflow, the font size on Result window is no problem.

But, when we show the contents of Results window on the presentation or online meeting, the font size is too small.

I want the function which is enlarge the font size. The important point is that the current font size is okay on making workflow and the large font size is only needed on showing to the another people on presentation or online meeting.

 

One more point to add, it would be helpful to be able to change the font size with Ctrl + mouse wheel.

 

AkimasaKajitani_0-1687061231585.png

 

Push the zoom button:

AkimasaKajitani_1-1687061247584.png

 

Hello! It would be great if I could "favorite" a tool when I search for it in the search bar in Designer. Currently, I can drag and drop it to the Canvas, but if I want to "favorite" it, I have to remember the icon and color, then go find it in the right tab. This would be a nice enhancement!

Hello all,

As of today, you can populate the Drop Down tool in the interface category with a query launched from a in-memory connection. I would really appreciate the ability to use instead an in-db connection.

simonaubert_bd_0-1675421825343.png

 

Why ?
It means managing two connections instead of one, and finding ways to manage it on server for both of them, etc etc.. Simplicity is key.

Best regards,

Simon

Hello all,

When using in-database, all you have in select or formula are the Alteryx field types (V_String, etc..).

However, since you're mostly writing in database, in the end, there is a conversion of Alteryx field types to real SQL field types (like varchar). But how is it done ? As of today, it's a total black box. Some documentation would be appreciated.

Best regards,

Simon

Hi all,

 

When preparing reports with formatting for my stakeholders. They want these sent straight to sharepoint and this can be achieved via onedrive shortcuts on a laptop. However when sending the workflow for full automation, the server's C drive is not setup with the appropriate shortcuts and it is not allowed  by our admin team.

 

So my request is to have the sharepoint output tool upgraded to push formatted files to sharepoint. 

 

Thank you!

My organization use the SharePoint Files Input and SharePoint Files Output (v2.1.0) and connect with the Client ID, Client Secret, and Tenant ID. After a workflow is saved and scheduled on the server users receive the error "Failed to connect to SharePoint AADSTS700082: The refresh token has expired due to inactivity" every 90 days. My organization is not able to extend the 90 day limit or create non-expiring tokens.

 

If would be great if the SharePoint connectors could automatically refresh the token when it expires so users don't have to open the workflow and do it manually.

Hello all,

As of today, Alteryx proposes the Intelligence Suite with amazing tools never seen in a data tool, even OCR, image analysis etc.. https://www.alteryx.com/fr/products/intelligence-suite



But... these wonderful tools are part of a paid add-on. And this is what is problematic :

-Alteryx is already an expensive tool. With a huge value but honestly expensive.

-The tools in Intelligence Suite are not common in data tools because you won't use often. And paying for tools you use once or twice in a month is not easy to justify.

So, I suggest to incorpore Intelligence Suite in the core product. The Alteryx users benefit is evident so let's see the Alteryx benefits : 
-more user satisfaction
-a simpler catalog
-adding a lot of value to Designer, with the ability to communicate widely on the topic.

-almost no cost : most costumers won't buy the Intelligence Suite anyway.

Best regards,

Simon

Hey all,

 

I don't know about you, but I have always had trouble hovering the mouse over the Results window pane trying to get the resize icon to appear. It seems like you need surgeon level precision to find the icon! 😷

 

I love Designer and want to see it be the best it can possibly be. I feel like increasing the clickable/hovering area for this resize would be amazingly helpful! 

Just wanted to see if we could get some community momentum going in order to get some developer eyes on this issue. 🙂

 

 Please help by bumping/upvoting this thread!

ksang_2-1700231361920.gif

 

 -K

Migrated this from another thread. Some folks tagged from the original post :)
@cpatrickwk @caltang @afellows @MRod @alexnajm @ericsmalley @MilindG @Prometheus @innovate20 

When loading multiple sheets from and Excel with either the Input Data tool or the Dynamic Input Tool, I usually want a field to identify which Sheet the data came from. Currently I have to import the Full Path and then remove everything except the SheetName.

 

It would be great if there was an option to output she SheetName as a field.

 

DavidP_0-1657614328613.png

 

Hello,

Unless you're lucky, your input dataset can have fields with the wrong types. That can lead to several issues such as :
-performance (a string is waaaaaaaay slower than let's say a boolean)
-compliance with master data management
-functional understanding (e.g : if i have a field called "modified" typed as string, I don't know if it contains the modification date, an information about the modification, etc... while if it's is typed as date, I already know it's a date)
-ability to do some type-specific operations (you can't multiply a string or extract a week from a string)


right now, the existing tools have been focused on strings but I think we can do better.


Here a proposition :

entry : a dataframe
configuration :
-selection of fields
or
-selection of field types
-ability to do it on a sample (optional)


Algo :

AlteryxByteboolonly 2 values. 0 and 1 to be done
AlteryxInt16boolonly 2 values. 0 and 1 to be done
AlteryxInt16Bytemin=>0, max <=255to be done
AlteryxInt32boolonly 2 values. 0 and 1 to be done
AlteryxInt32Bytemin>=0, max <=255to be done
AlteryxInt32Int16min>=-32,768, max <=32,767to be done
AlteryxInt64boolonly 2 values. 0 and 1 to be done
AlteryxInt64Bytemin>=0, max <=255to be done
AlteryxInt64Int16min>=-32,768, max <=32,767to be done
AlteryxInt64Int32min>=-–2,147,483,648, max <=2,147,483,647to be done
AlteryxFixed Decimalboolonly 2 values. 0 and 1 to be done
AlteryxFixed DecimalByteNo decimal part, min>=0, max <=255to be done
AlteryxFixed DecimalInt16No decimal part, min>=-32,768, max <=32,767to be done
AlteryxFixed DecimalInt32No decimal part, min>=-–2,147,483,648, max <=2,147,483,647to be done
AlteryxFixed DecimalInt36No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807to be done
AlteryxFloatboolonly 2 values. 0 and 1 or 0,-1to be done
AlteryxFloatByteNo decimal part, min>=0, max <=255to be done
AlteryxFloatInt16No decimal part, min>=-32,768, max <=32,767to be done
AlteryxFloatInt32No decimal part, min>=-–2,147,483,648, max <=2,147,483,647to be done
AlteryxFloatInt36No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807to be done
AlteryxFloatFixed Decimalto be doneto be done
AlteryxDoubleboolonly 2 values. 0 and 1 or 0,-1to be done
AlteryxDoubleByteNo decimal part, min>=0, max <=255to be done
AlteryxDoubleInt16No decimal part, min>=-32,768, max <=32,767to be done
AlteryxDoubleInt32No decimal part, min>=-–2,147,483,648, max <=2,147,483,647to be done
AlteryxDoubleInt36No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807to be done
AlteryxDoubleFixed Decimalto be doneto be done
AlteryxDoubleFloatwhen no need for doube precisionto be done
AlteryxDateTimeDateno hours, minutes, secondsto be done
AlteryxStringboolonly 2 values. 0 and 1 or 0,-1 or True/False or TRUE/FALSE or equivalent in some languages such as VRAI/FAUX, Vrai/Fauxto be done
AlteryxStringByteNo decimal part, min>=0, max <=255to be done
AlteryxStringInt16No decimal part, min>=-32,768, max <=32,767to be done
AlteryxStringInt32No decimal part, min>=-–2,147,483,648, max <=2,147,483,647to be done
AlteryxStringInt36No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807to be done
AlteryxStringFixed Decimalto be doneto be done
AlteryxStringFloatwhen no need for doube precisionto be done
AlteryxStringDoublewhen need for double precisionto be done
AlteryxStringDatetest on several date formatsto be done
AlteryxStringTimetest on several time formatsto be done
AlteryxStringDateTimetest on several datetime formatsto be done
AlteryxWStringboolonly 2 values. 0 and 1 or 0,-1 or True/False or TRUE/FALSE or equivalent in some languages such as VRAI/FAUX, Vrai/Fauxto be done
AlteryxWStringByteNo decimal part, min>=0, max <=255to be done
AlteryxWStringInt16No decimal part, min>=-32,768, max <=32,767to be done
AlteryxWStringInt32No decimal part, min>=-–2,147,483,648, max <=2,147,483,647to be done
AlteryxWStringInt36No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807to be done
AlteryxWStringFixed Decimalto be doneto be done
AlteryxWStringFloatwhen no need for doube precisionto be done
AlteryxWStringDoublewhen need for double precisionto be done
AlteryxWStringStringLatin-1 character onlyto be done
AlteryxWStringDatetest on several date formatsto be done
AlteryxWStringTimetest on several time formatsto be done
AlteryxWStringDateTimetest on several datetime formatsto be done
AlteryxV_Stringboolonly 2 values. 0 and 1 or 0,-1 or True/False or TRUE/FALSE or equivalent in some languages such as VRAI/FAUX, Vrai/Fauxto be done
AlteryxV_StringByteNo decimal part, min>=0, max <=255to be done
AlteryxV_StringInt16No decimal part, min>=-32,768, max <=32,767to be done
AlteryxV_StringInt32No decimal part, min>=-–2,147,483,648, max <=2,147,483,647to be done
AlteryxV_StringInt36No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807to be done
AlteryxV_StringFixed Decimalto be doneto be done
AlteryxV_StringFloatwhen no need for doube precisionto be done
AlteryxV_StringDoublewhen need for double precisionto be done
AlteryxV_StringStringSame lengthto be done
AlteryxV_StringDatetest on several date formatsto be done
AlteryxV_StringTimetest on several time formatsto be done
AlteryxV_StringDateTimetest on several datetime formatsto be done
AlteryxV_WStringboolonly 2 values. 0 and 1 or 0,-1 or True/False or TRUE/FALSE or equivalent in some languages such as VRAI/FAUX, Vrai/Fauxto be done
AlteryxV_WStringByteNo decimal part, min>=0, max <=255to be done
AlteryxV_WStringInt16No decimal part, min>=-32,768, max <=32,767to be done
AlteryxV_WStringInt32No decimal part, min>=-–2,147,483,648, max <=2,147,483,647to be done
AlteryxV_WStringInt36No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807to be done
AlteryxV_WStringFixed Decimalto be doneto be done
AlteryxV_WStringFloatwhen no need for doube precisionto be done
AlteryxV_WStringDoublewhen need for double precisionto be done
AlteryxV_WStringStringSame length,latin- character onlyto be done
AlteryxV_WStringWStringSame lengthto be done
AlteryxV_WStringV_Stringlatin- character onlyto be done
AlteryxV_WStringDatetest on several date formatsto be done
AlteryxV_WStringTimetest on several time formatsto be done
AlteryxV_WStringDateTimetest on several datetime formatsto be done

 

The output would be something like that

FieldInput typePropositionConversion
totofloatintformula (with example)/native tool/datetime conversion tool…



Best regards,

Simon



Hello,

This is a feature I haven't seen in any data prepation/etl. The core feature is to detect the unique key in a dataframe. More than often, you have to deal with a dataset without knowing what's make a row unique. This can lead to misinterpret the data, cartesian product at join and other funny stuff.

How do I imagine that ?

a specific tool in the Data Investigation category

Entry; one dataframe, ability to select fields or check all, ability to specify a max number of field for combination (empty or 0=no max).
Algo : it tests the count distinct every combination of field versus the count of rows

Result : one row by field combination that works. If no result : "no field combination is unique. check for duplicate or need for aggregation upstream".

ex :

 

order_id line_id amount customer site

11100AU_250
1212AU_250
1345AU_250
2175AU_250
2212AU_250
3115BU_250
4145BU_251

The user will select every field but excluding Amount (he knows that Amount would have no sense in key)

The algo will test the following key
-each separate field
-each combination of two fields
-each combination of three fields
-each combination of four fields

to match the number of row (7)
And gives something like that

 

choice number of fields field combination

very good2order_id,line_id
average3order_id,line_id, customer
average3order_id,line_id, site
bad4order_id,line_id, site, customer
….

Best regards,

Simon

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