Alteryx Designer Desktop Ideas

Hello all,

It's really frustrating to have an "alteryx field type" in In-Database Select. It doesn't even make sense since we're manipulating only data in SQL database where those types does not exist. What we should see is the SQL field type.

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

Hello all,

Sometimes, when you have too much time to retrieve your tables metadas, you can have this message

Initialization Timed Out: Workflow must be run for field meta info to be accurate.

From what I understand, it's Alteryx and the source system that drives the time out value. However, I have some cases where the long time is "normal" and that really hurts the user experience.
So, I would like the ability in settings to change the default value.

Best regards,

Simon

Hello all,

Apache Doris ( https://doris.apache.org/ ) is a modern datawarehouse with a lot of ambitions. It's probably the next big thing.

You can read the full doc here https://doris.apache.org/docs/get-starting/what-is-apache-doris but to sum it up, it aims to be THE reference solution for OLAP by claiming even better performance than Clickhouse, DuckDB or MonetDB. Even benchmarks from the Clickhouse team seem to agree.

Best regards,

Simon

Our company has a need to link a new data source in Athena.  We have been able to establish a connection using the input functionality however the connection is so slow it is unusable.  We need to have Alteryx build an In Database option for Athena to allow us to link our data lake to Alteryx.  

Hello all,

A few weeks ago Alteryx announced inDB support for GBQ. This is an awesome idea, however to make it run, you should use Oauth2 Authentication means GBQ API should be enabled. As of now, it is possible to use Simba ODBC to connect GBQ. My idea is to enhance the connection/authentication method as we have today with Simba ODBC for Google BigQuery and support inDB. It is not easy to implement by IT considering big organizations, number of GBQ projects and to enable API for each application. By enhancing the functionality with ODBC, this will be an awesome solution.

Thank you for voting

Albert

When making any type of macro, it's important to test the functionality of the macro via a debug.  This is accomplished successfully with normal tools, however there's a bug that will not allow the user to debug In-DB macros that use either of the following standard Alteryx tools:  

• Macro Input In-DB
• Macro Output In-DB

If either of these tools are included in the macro you are building, an error message will appear not allowing you to open a debug.  

Error message: Question Tool Load Error:  A question tool with a tool id of XXX is missing the associated question data.

Of course, Macro input and output tools do not require any specific action/question tool associated with it.  This is a bug.  A user pointed out the XML issue almost 3 years ago here:

In summary: "It appears that the tool itself inserts a hidden Question attribute into the XML which can also be seen in Workflow Configuration"

Source:

https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Discussions/In-DB-Macro-Input-and-Output-t...

Examples....

A normal macro, using standard tools:

After debugging a standard macro, the Macro Input/Output tools correctly change to a Text Input and a Browse tool.  This allows the macro author to test the macro.

However, when trying the same thing with In-DB tools in a macro, an error message appears:

In-DB macro 1:

In-DB Macro error message (after clicking "Open Debug"):

it would be beneficial to add the same action available in the message result window to be added in the brows tool for the distinct value.

like the copy options. 

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

Hello all,

According to wikipedia :
https://en.wikipedia.org/wiki/Embedded_database

An embedded database system is a database management system (DBMS) which is tightly integrated with an application software; it is embedded in the application.

It's often like a single file/dll that you can use inside an application without the user having to connect (or at least to configure it) to it (it's all done inside the application). So, it's widely portable.


Why it does matter ?

As of today, there is not a single example of in database workflow because all the supported databases need the user to:

1/install an odbc driver (most of time, he won't have the rights to do so)

2/configure an odbc connection (sometimes, he doesn't have the rights to)

3/configure a connection on Alteryx (ok, he can)
So it requires IT action, which can be pretty long (in ùany organization, it requires several weeks !!). And even with all of that,the users must be granted privilege to access database and the customer need to develop its own examples and write its own specific documentation.

Well, this is not efficient.

What I suggest is Alteryx to use one of embedded database for training support/one tool examples. SQLlite seems good, maybe a more analytics oriented (like DuckDB ) would be more efficient.
The requirement are, I think, the following :
-OpenSource and free
-Fast
-SQL compliant
-With a bulk load ability

Best regards,

Simon

Hello all,

As of now, you have two very distinct kinds of connection :

-in memory alias

-in database alias

It happens than every single time I use a in-database alias I have to create the same for in memory since some operations cannot be realized in in-database (such as pre-sql or interface tools)

What does that mean for us :

-more complex settings operations/training/tests

-unefficient worflows that have to deal with two kinds of alias.

What I propose :
-a single "connection alias", that can be used either for in-db either for in-memory,

-one place to configure

-the in-db or in-memory being dependant on the tools you use

Best regards,

Simon

Hello all,

As of today, we can easily copy or duplicate a table with in-database tool.This is really useful when you want to have data in development environment coming from production environment.

But can we for real ?

Short answer : no, we can't do it in these cases :
-partitions

-statistics
-index

-any constraints such as primary-foreign keys

But even if these ideas would be implemented, this means manually setting these parameters.

So my proposition is simply a "clone table"' tool that would clone the table from the show create table statement and just allow to specify the destination path (base.table)

Best regards,

Simon

With data sharing, you can share live data with relative security and ease across Amazon Redshift clusters, AWS accounts, or AWS Regions for read purposes.

Data sharing can improve the agility of your organization. It does this by giving you instant, granular, and high-performance access to data across Amazon Redshift clusters without the need to copy or move it manually.

aws Datasharing feature in Alteryx. It's not working in Alteryx v 2020.4

We would like to know whether Alteryx is support redshift data share or not ?

it uses same redhshift ODBC or Simba ODBC drivers only but the functionality would be sharing the data across the clusters. Earlier we have seen a limitation from Alteryx end (not able to read data share objects) so we wanted to check if it’s resolved in newer versions of Alteryx.  Reference link

https://docs.aws.amazon.com/redshift/latest/dg/datashare-overview.html 

There should be an option where an existing SQL query or a complex logic is converted by Alteryx intelligently into an Alteryx high level workflow with tools suggestion which can be modified by the developers. 

For e.g. Salesforce Einstein Analytics has an option where an existing dataflow (traditional way of performing data prep.) can be converted to a recipe (premium version of a dataflow with advanced features) using a single click. It gives an option for the user to make additional modifications/enhancements on top of it.  

Introduce CTE Functions and temp tables reading from SQL databases into Alteryx.I have faced use cases where I need to bring in table from multiple source tables based on certain delta condition. However, since the SQL queries turn to be complex in nature; I want to leverage an option to wrap it in a CTE function and then use the CTE function as an input for In-DB processing for Alteryx workflows.  

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,

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

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

Since we can use Snowflake udfs in Alteryx, when do you think Snowflake stored procedures will be available.