Alteryx Designer Desktop Ideas

This is a QoL-request, and I love me some QoL-updates!

While I'm developing I often need the output of a workflow as input for the next phase of my development. For example: an API run returns job location, status, and authentication ids. I want to use these in a new workflow to start experimenting what'll work best. Because of the experimenting part, I always do this in a new workflow and not cache and continue in my main flow.

Writing a temporary output file always feels like unnescesary steps, and tbh I don't want to write a file for a step that'll be gone before it reaches production. Esp if there is sensitive information in it.

Thanks.

As per a recent discussion (https://community.alteryx.com/t5/Alteryx-Designer-Discussions/Geopackages-Can-Alteryx-Open-GeoPackag...), please add the GeoPackage datatype to the Input tool.

For reference, the open-source project ogr2ogr has this functionality. (https://gdal.org/programs/ogr2ogr.html)

Thanks!

Hello all,

According to wikipedia :
https://en.wikipedia.org/wiki/Join_(SQL)

CROSS JOIN returns the Cartesian product of rows from tables in the join. In other words, it will produce rows which combine each row from the first table with each row from the second table.[1]

Example of an explicit cross join:

SELECT *
FROM employee CROSS JOIN department;

Example of an implicit cross join:

SELECT *
FROM employee, department;

The cross join can be replaced with an inner join with an always-true condition:

SELECT *
FROM employee INNER JOIN department ON 1=1;

For us, alteryx users, it would be very similar to Append Fields but for in-db.

Best regards,

Simon

I surprisingly couldn't find this anywhere else as I know it's been discussed in person on many occasions.

Basically the Formula tool needs to be smarter in many ways, but this particular post focuses on the Data Type component.

The formula tool, should not always default to V_String as the data type when entering data or a formula into the formula tool, it should look at the data type and estimate the most likely option.

I know there are times where the logical type might not be consistent in all fields, but the Data Preview and the Function of the formula should be used to determine the most likely option.

E.G. If I type a number or a date directly into the formula tool, then Alteryx should be smart enough to change the data type from the standard V_String to Int, Double or date.

This is an extension to the ideas posted here:

https://community.alteryx.com/t5/Alteryx-Designer-Ideas/Tab-from-Select-Column-to-Enter-Expression-H...

https://community.alteryx.com/t5/Alteryx-Designer-Ideas/Formula-tool-data-type-should-be-prominent/i...

https://community.alteryx.com/t5/Alteryx-Designer-Ideas/Alteryx-11-formula-tool-default-data-type/id...

I love this tool,  but think it would be improved by including an option to create a column per delimiting character.  This could be added in the number of columns selector box.  In the case where 1 row has more delimiters than another, null columns can be created.  Without this option you have to Regex count the delimiters, select the max and then embed the Text to columns tools in a macro and then pass the max columns as a param.  Would be nice to resolve all this in the main tool.

Thanks, nick

Alteryx Designer is slow when using In-DB tools.

We use Alteryx 2019.1 on Hive/HortonWords with the Simba ODBC Driver configured with SSL enabled.

Here is a compare In-DB / in Memory : 

We found that Alteryx open a new connection for each action : 

- First link to joiner = 1 connection.

- Second ling to joiner = 1 connection.

- Click on the canevas = 1 connection.

Each connection take about 2,5 sec... It really slow down the Designer : 

Please, keep alive the first connection instead of closing it and creating a new one for each action on the Designer.

Hello,

We use the pre-sql statement of the input to set some parameters of connections. Sadly, we cannot do that in a in-db workflow. This would be a total game-changing feature for us.

Best Regards,

Simon

I'd like to see Alteryx allow a second install of your license on a second, personal machine.  Tableau allows this and IMO is why there is such a robust online / blog community around that product.

For those of us that work at mid-size to large organizations, there are often strict rules governing internal data and use of cloud-based data sources.  If I discover some new trick I'd like the share with my fellow Alteryx analysts outside of my company, I have no clear way to do that the same way I can with Tableau where I can do it at home not using my company's data.

Being able to learn new features and test things out on commonly available public data (ever notice that Superstore data set everyone who gets Tableau has?) would accelerate what we're able to do with the community site here and the larger analytics blogging community.

It would be wonderful for Alteryx to be able to connect to and query OData feeds natively, rather than using a 3rd-party driver or custom macro.   

OData querying is supported by quite a few familiar products, including Excel and PowerBI, SSIS/SSRS, FME Safe, Tableau, and many others. And the protocol is used to publish feeds from Microsoft Dynamics and Sharepoint, as well as many of the 10,000 publically available government datasets with API's (esp. those hosted by Socrata)   

I didn't see it as in the Idea section, but questions and workarounds have been discussed in the community a few times (11/15, 3/18, 4/18), and suggestions seem to be just to buy the $400-600 ODBC driver from CDATA (or ZappySys), or I could use a VBA script in Excel trigger a refresh, or create my own Alteryx connector macro (great series btw, though most was beyond my understanding!) 

While not opposed paying, kludging, or learning to program, they're just one more thing to build/buy, install, maintain, and break at the most inconvenient time 🙂

Thanks,
Chadd

OData Overview:

OData (Open Data Protocol) is an ISO/IEC approved, OASIS standard that defines a set of best practices for building and consuming RESTful APIs. OData helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query options, etc. OData also provides guidance for tracking changes, defining functions/actions for reusable procedures, and sending asynchronous/batch requests.  OData RESTful APIs are easy to consume. The OData metadata, a machine-readable description of the data model of the APIs, enables the creation of powerful generic client proxies and tools.

More info at at http://odata.org

I constantly find my using pre and post SQL Commands in the Output tool to run SQL when I don't actually have any data to output.

One example is when I load data into S3 and want to load it into Redshift. I have SQL code to run but no data to Output - I end up running a dummy row into a temp table.

So can we have an SQL tool that simply acts the same as a Pre-SQL command without the associated data output. Once the command is run we should be able to continue the workflow, so the tool should have an option input and output, like the Run Command tool.

From Wikipedia :

In a database, a view is the result set of a stored query on the data, which the database users can query just as they would in a persistent database collection object. This pre-established query command is kept in the database dictionary. Unlike ordinary base tables in a relational database, a view does not form part of the physical schema: as a result set, it is a virtual table computed or collated dynamically from data in the database when access to that view is requested. Changes applied to the data in a relevant underlying table are reflected in the data shown in subsequent invocations of the view. In some NoSQL databases, views are the only way to query data.

Views can provide advantages over tables:

    Views can represent a subset of the data contained in a table. Consequently, a view can limit the degree of exposure of the underlying tables to the outer world: a given user may have permission to query the view, while denied access to the rest of the base table.
    Views can join and simplify multiple tables into a single virtual table.
    Views can act as aggregated tables, where the database engine aggregates data (sum, average, etc.) and presents the calculated results as part of the data.
    Views can hide the complexity of data. For example, a view could appear as Sales2000 or Sales2001, transparently partitioning the actual underlying table.
    Views take very little space to store; the database contains only the definition of a view, not a copy of all the data that it presents.
    Depending on the SQL engine used, views can provide extra security.

I would like to create a view instead of a table.

Hey all,

The join tool currently does not allow case-insensitive joins, but the find/replace tool does.    Additionally- even if both sides are identical, the join tool will not join "Sean's house" to "Sean's house" because of the non-letter character in the middle.    Finally - if one side is a string(2), and the other is a vString(200) - even if you have a single identical character on both sides you get uncertain outcomes unless you force the type

Please could you consider amending the join tool to include 3 new options or capabilities:

- Case insensitive join

- Allow full Unicode character set in join

- Full match across text types (irrespective of string size) - this would allow a string(2) value to match to a string(100) value as long as the string(100) value only has the same 2 characters in it as the string(2) value

That would remove a load of work from every text-join that's being done on every canvas we do.

Thank you 

Sean

Idea: Allow the user to set the data type including character field width in the Text Input tool.

The Text Input tool currently auto-senses the correct type and width of the field in a Text Input tool. However, this sometimes restricts the usage of the data downline.

Examples:

1 - I often run into the situation where I've copied some data from a browse tool and then pasted that as an input to a new workflow. Then I'll turn that workflow into a macro. But then I run into an issue where the data that comes into the macro is larger than the original width in the Text Input tool. This causes problems.

2 - The tool senses that a field containing zip codes should be numeric and then converts the data. This corrupts the data and makes me insert a Select/Formula tool combo to pad the zeros to the left.

The bak file that is automatically created (and re-created if deleted) really clutters up our folders.

Please allow us to either turn it off, or specify a different location to hold our back up files.

Thanks

At the moment containers either expand and overlap other tools, or you have to leave space for them (defeating the original purpose of using them). Is there a way we can have the containers expansion shift the workflow so the others tools shift down / right to account for this expanision?

A common problem with the R tool is that it outputs "False Errors" like the following: "The R.exe exit code (4294967295) indicted an error"

I call this a false error because data passes out of the R script the same as if there were no error. As such, this error can generally be ignored. In my use case, however, my R tool is embedded within an iterative macro, and the error causes the iterator to stop running.

I was able to create a workaround by moving the R tool to a separate workflow and calling it from the CReW runner macro within my iterator, effectively suppressing the error message, but this solution is a bit clumsy, requires unnecessary read/writes, and uses nonstandard macros.

I propose the solution suggested by @mbarone (https://community.alteryx.com/t5/Alteryx-Designer-Discussions/Boosted-Model-Error/td-p/5509) to only generate an error when the R return code is 1, indicating a true error, and to either ignore these false errors or pass them as warnings. This will allow R scripts and R-based tools to be embedded within iterative macros without breaking.

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!

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;