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Submission GuidelinesHello,
After used the new "Image Recognition Tool" a few days, I think you could improve it :
> by adding the dimensional constraints in front of each of the pre-trained models,
> by adding a true tool to divide the training data correctly (in order to have an equivalent number of images for each of the labels)
> at least, allow the tool to use black & white images (I wanted to test it on the MNIST, but the tool tells me that it necessarily needs RGB images) ?
Question : do you in the future allow the user to choose between CPU or GPU usage ?
In any case, thank you again for this new tool, it is certainly perfectible, but very simple to use, and I sincerely think that it will allow a greater number of people to understand the many use cases made possible thanks to image recognition.
Thank you again
Kévin VANCAPPEL (France ;-))
Thank you again.
Kévin VANCAPPEL
Today, I am able to take an excel file from a folder and drag it onto the canvas, which automatically creates an Input Data tool.
I would like to be able to drag an excel file right from outlook to do the same!
Hello,
I think I have neer wrotten an easier idea : the tooltip for the run workflow button should indicate the keyboard shortcut (ctrl+R). So simple, so intuitive..
Best regards,
Simon
Hello all,
As of today, we use the good old alias in-memory to connect to our datasources in in-memory. We have several environments so we use constants in order to change the name of the in-memory alias during execution.
To illustrate :
Depending of the environment, the constant « v_gp_contexte » will take different values :
Sounds nice, right? But now, we would like to use DCM and the nightmare begins :
We can't manually change the name and set the question :
if we look at the xml of the workflow, we only find an id so editing it is useless :
(for informationDCM connections are stored in some sqlite db in C:\Users\{yourname}\AppData\Local\Alteryx
So, I would like to use the DCM inside the in-memory alias (the in-memory alias is stored and can be edited), just like for in-db connection alias.
Best regards,
Simon
I've seen this question before and have run into it myself. I'd like to see a new tool that would allow a developer (of a workflow) to choose a path of logic based upon criteria known only during the execution of a module.
If LEFT INPUT Count of records < 10,000 THEN Path1 (e.g. use a calgary join)
ELSE Path 2 (e.g. use a standard join)
endif
Thanks,
Mark
Hello all,
So, right now, we have two very separated products : Alteryx Designer and Alteryx Designer Cloud. But what if you want to go from Alteryx Designer on your desktop to the cloud ?
well, you will have to rewrite every single workflow because you can't publish or import your current workflow on Alteryx Designer Cloud. You cannot export Designer Cloud workflow to Alteryx Designer on Desktop either.
This is a huge limitation on cloud implementation and sells and the ONLY product I know that's not compatible between on-premise and cloud.
Please Alteryx, this is a no-brainer situation if you want to convince your customers !
Best regards,
Simon
Hello all,
As you may know, Alteryx use the Active Query Builder component. However this component itself evolves with cool new features :
https://www.activequerybuilder.com/blog/2018-04-28-much-faster-visual-sql-query-building-in-the-new-...
You can also try the online demo
https://www.activequerybuilder.com/
Best regards,
Simon
Today, there is an checkbox to "Disable All Tools that Write Output" within the Runtime settings for a workflow. Setting this option requires at least 3 clicks:
Could a keyboard shortcut be added for this? I've spoken to several users who leverage this feature and, while it is already a time saver, it seems helpful enough where a keyboard shortcut is warranted.
I can't even count how often I looked at an Excel, CSV or even YXDB file, where I KNEW that it was generated by Alteryx, but I couldn't remember the workflow. Currently, I have to simply go through all workflows I ever build and see if I can find it.
Theoretically, I could use a text-search across all workflows and see if I can find the output names - problem here: Most of my output filenames are generated dynamically on the run.
It would be amazing if Alteryx could simply write the Workflow name (maybe even path) into the metadata of a file.
(Screenshot from Google, as my os is set to German)
How about, we write "This file was created with by "Create Controlling Reports.yxmd on 2023-02-06 with Alteryx Designer 2021.4.298434" in the field 'Comments'?
This would make it extremely easy to find what workflow the file generated. I think it would be an option to talk about "filepath" instead of filename, but the filepath could include the local machine name, which might include GDPR information.
@Community: Is there any additional information that you'd like to see in the metadata?
Best
Alex
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 :
Alteryx | Byte | bool | only 2 values. 0 and 1 | to be done |
Alteryx | Int16 | bool | only 2 values. 0 and 1 | to be done |
Alteryx | Int16 | Byte | min=>0, max <=255 | to be done |
Alteryx | Int32 | bool | only 2 values. 0 and 1 | to be done |
Alteryx | Int32 | Byte | min>=0, max <=255 | to be done |
Alteryx | Int32 | Int16 | min>=-32,768, max <=32,767 | to be done |
Alteryx | Int64 | bool | only 2 values. 0 and 1 | to be done |
Alteryx | Int64 | Byte | min>=0, max <=255 | to be done |
Alteryx | Int64 | Int16 | min>=-32,768, max <=32,767 | to be done |
Alteryx | Int64 | Int32 | min>=-–2,147,483,648, max <=2,147,483,647 | to be done |
Alteryx | Fixed Decimal | bool | only 2 values. 0 and 1 | to be done |
Alteryx | Fixed Decimal | Byte | No decimal part, min>=0, max <=255 | to be done |
Alteryx | Fixed Decimal | Int16 | No decimal part, min>=-32,768, max <=32,767 | to be done |
Alteryx | Fixed Decimal | Int32 | No decimal part, min>=-–2,147,483,648, max <=2,147,483,647 | to be done |
Alteryx | Fixed Decimal | Int36 | No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807 | to be done |
Alteryx | Float | bool | only 2 values. 0 and 1 or 0,-1 | to be done |
Alteryx | Float | Byte | No decimal part, min>=0, max <=255 | to be done |
Alteryx | Float | Int16 | No decimal part, min>=-32,768, max <=32,767 | to be done |
Alteryx | Float | Int32 | No decimal part, min>=-–2,147,483,648, max <=2,147,483,647 | to be done |
Alteryx | Float | Int36 | No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807 | to be done |
Alteryx | Float | Fixed Decimal | to be done | to be done |
Alteryx | Double | bool | only 2 values. 0 and 1 or 0,-1 | to be done |
Alteryx | Double | Byte | No decimal part, min>=0, max <=255 | to be done |
Alteryx | Double | Int16 | No decimal part, min>=-32,768, max <=32,767 | to be done |
Alteryx | Double | Int32 | No decimal part, min>=-–2,147,483,648, max <=2,147,483,647 | to be done |
Alteryx | Double | Int36 | No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807 | to be done |
Alteryx | Double | Fixed Decimal | to be done | to be done |
Alteryx | Double | Float | when no need for doube precision | to be done |
Alteryx | DateTime | Date | no hours, minutes, seconds | to be done |
Alteryx | String | bool | only 2 values. 0 and 1 or 0,-1 or True/False or TRUE/FALSE or equivalent in some languages such as VRAI/FAUX, Vrai/Faux | to be done |
Alteryx | String | Byte | No decimal part, min>=0, max <=255 | to be done |
Alteryx | String | Int16 | No decimal part, min>=-32,768, max <=32,767 | to be done |
Alteryx | String | Int32 | No decimal part, min>=-–2,147,483,648, max <=2,147,483,647 | to be done |
Alteryx | String | Int36 | No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807 | to be done |
Alteryx | String | Fixed Decimal | to be done | to be done |
Alteryx | String | Float | when no need for doube precision | to be done |
Alteryx | String | Double | when need for double precision | to be done |
Alteryx | String | Date | test on several date formats | to be done |
Alteryx | String | Time | test on several time formats | to be done |
Alteryx | String | DateTime | test on several datetime formats | to be done |
Alteryx | WString | bool | only 2 values. 0 and 1 or 0,-1 or True/False or TRUE/FALSE or equivalent in some languages such as VRAI/FAUX, Vrai/Faux | to be done |
Alteryx | WString | Byte | No decimal part, min>=0, max <=255 | to be done |
Alteryx | WString | Int16 | No decimal part, min>=-32,768, max <=32,767 | to be done |
Alteryx | WString | Int32 | No decimal part, min>=-–2,147,483,648, max <=2,147,483,647 | to be done |
Alteryx | WString | Int36 | No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807 | to be done |
Alteryx | WString | Fixed Decimal | to be done | to be done |
Alteryx | WString | Float | when no need for doube precision | to be done |
Alteryx | WString | Double | when need for double precision | to be done |
Alteryx | WString | String | Latin-1 character only | to be done |
Alteryx | WString | Date | test on several date formats | to be done |
Alteryx | WString | Time | test on several time formats | to be done |
Alteryx | WString | DateTime | test on several datetime formats | to be done |
Alteryx | V_String | bool | only 2 values. 0 and 1 or 0,-1 or True/False or TRUE/FALSE or equivalent in some languages such as VRAI/FAUX, Vrai/Faux | to be done |
Alteryx | V_String | Byte | No decimal part, min>=0, max <=255 | to be done |
Alteryx | V_String | Int16 | No decimal part, min>=-32,768, max <=32,767 | to be done |
Alteryx | V_String | Int32 | No decimal part, min>=-–2,147,483,648, max <=2,147,483,647 | to be done |
Alteryx | V_String | Int36 | No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807 | to be done |
Alteryx | V_String | Fixed Decimal | to be done | to be done |
Alteryx | V_String | Float | when no need for doube precision | to be done |
Alteryx | V_String | Double | when need for double precision | to be done |
Alteryx | V_String | String | Same length | to be done |
Alteryx | V_String | Date | test on several date formats | to be done |
Alteryx | V_String | Time | test on several time formats | to be done |
Alteryx | V_String | DateTime | test on several datetime formats | to be done |
Alteryx | V_WString | bool | only 2 values. 0 and 1 or 0,-1 or True/False or TRUE/FALSE or equivalent in some languages such as VRAI/FAUX, Vrai/Faux | to be done |
Alteryx | V_WString | Byte | No decimal part, min>=0, max <=255 | to be done |
Alteryx | V_WString | Int16 | No decimal part, min>=-32,768, max <=32,767 | to be done |
Alteryx | V_WString | Int32 | No decimal part, min>=-–2,147,483,648, max <=2,147,483,647 | to be done |
Alteryx | V_WString | Int36 | No decimal part, min>=-––9,223,372,036,854,775,808, max <=9,223,372,036,854,775,807 | to be done |
Alteryx | V_WString | Fixed Decimal | to be done | to be done |
Alteryx | V_WString | Float | when no need for doube precision | to be done |
Alteryx | V_WString | Double | when need for double precision | to be done |
Alteryx | V_WString | String | Same length,latin- character only | to be done |
Alteryx | V_WString | WString | Same length | to be done |
Alteryx | V_WString | V_String | latin- character only | to be done |
Alteryx | V_WString | Date | test on several date formats | to be done |
Alteryx | V_WString | Time | test on several time formats | to be done |
Alteryx | V_WString | DateTime | test on several datetime formats | to be done |
The output would be something like that
Field | Input type | Proposition | Conversion |
toto | float | int | formula (with example)/native tool/datetime conversion tool… |
Best regards,
Simon
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,
Just like Monetdb or Vertica, Clickhouse is a column-store database, claiming to be the fastest in the world. It's available on Cloud (like Snowflake), linux and macos (and here for free, it's open-source). it's also very well ranked in analytics database https://db-engines.com/en/system/ClickHouse and it would be a good differenciator with competitors.
https://clickhouse.com/
it has became more popular than Greenplum that is supported : (black snowflake, red greenplum, orange clickhouse)
Best regards,
Simon
Hello all,
Here the issue : when you have a lot of tables, the Visual Query Builder can be very slow. On my Hive Database, with hundreds of tables, I have the result after 15 minutes and most of the time, it crashes, which is clearly unusable.
I can change the default interface in the Visual Query Builder tool but for changing this setting, I need to load all the tables in the VQB tool.
I would like to set that in User Settings to set it BEFORE opening the Visual Query Builder.
Best regards,
Simon
Hello all,
We all have experienced these last years the now famous concept of hide/unhide password :
Here a few examples of it
I would like this exact principle everywhere we have a password on Alteryx.
Best regards,
Simon
Hello all,
ADBC is a database connection standard (like ODBC or JDBC) but specifically designed for columnar storage (so database like DuckDB, Clickhouse, MonetDB, Vertica...). This is typically the kind of stuff that can make Alteryx way faster.
more info in https://arrow.apache.org/blog/2023/01/05/introducing-arrow-adbc/
Here a benchmark made by the guys at DuckDB : 38x improvement
https://duckdb.org/2023/08/04/adbc.html
Best regards,
Simon
After using the Text to Columns tool, I generally find myself using a Select tool to get rid of the original field that I split up. Could an option be added in the config to automatically delete this field once it is split to columns?
Hello all,
As of today, when you want to retrieve or create a file on Apache Spark for Databricks, you have only two choices : CSV and Avro
However it's clearly missing parquet file type :
-it's faster
-it's better for storage
-it's standard and already supported as input/output of Alteryx or for HDFS so doesn't seem hard to add here.
Best regards,
Simon
Hello all,
In help, we can read that :
https://help.alteryx.com/current/designer/write-data-db-tool
Update/Delete is currently only supported for SQL Server ODBC connections.
I don't know about you but SQL Server is well used in transactional workload but in analytics... well... I have only used once in several dozens of context !
Maybe it would be cool to make it work on many more database?
Best regards,
Simon
Hello all,
OLEDB is usually way faster than ODBC so that the way to connect we promote. However, the new DCM only works for ODBC connection, which is quite strange.
Best regards,
Simon
The Sharepoint file tools are certainly a step in the right direction, but it would be great to enhance the files types that it is possible to write to sharepoint from Alteryx.
The format missing that I think is probably most in demand is pdf. If we're using the Alteryx reporting suite to create PDF reports, it would be awesome to have an easy way to output these to Sharepoint.
https://help.alteryx.com/20213/designer/sharepoint-files-output-tool
https://community.alteryx.com/t5/Public-Community-Gallery/Sharepoint-Files-Tool/ta-p/877903
Hello all,
According to wikipedia https://en.wikipedia.org/wiki/Materialized_view
In computing, a materialized view is a database object that contains the results of a query. For example, it may be a local copy of data located remotely, or may be a subset of the rows and/or columns of a table or join result, or may be a summary using an aggregate function.
The process of setting up a materialized view is sometimes called materialization.[1] This is a form of caching the results of a query, similar to memoization of the value of a function in functional languages, and it is sometimes described as a form of precomputation.[2][3] As with other forms of precomputation, database users typically use materialized views for performance reasons, i.e. as a form of optimization.
So, I would like to create that in Alteryx, for obvious performance reasons in some use cases.
This is not a duplicate of https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Ideas/In-DB-Create-View/idi-p/157886
Best regards,
Simon
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