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One of the best things about Alteryx is the ability to read in multiple files very easily and automatically combine them into a single dataset. This becomes a bit trickier when dealing with files that have different schemas or Excel files with multiple tabs. Adding both multiple excel files with multiple tabs, and having the schema change within each tab takes it to another level.
This article is part of the CS Macro Development Series. The goal of this series is to communicate tips, tricks, and the thought process that goes into developing good, dynamic macros. In this part, we demonstrate how to read in multiple files with different schemas using a Batch Macro.
Error “The Designer x64 reported: InboundNamedPipe GetOverlappedResult: The pipe has been ended”
when both Use AMP Engine and Enable Performance Profiling is enabled in the Workflow Configuration Runtime tab
These macros allow you to convert IP addresses to DWORD formatting and vice-versa for IP validation. These can be used to determine if an IP address was part of a range and, if it was, create two new ranges on either side of it.
When publishing a workflow to Gallery or Scheduler (Designer + Desktop Automation) or when packaging a workflow for export, checking the boxes for what to include and what to exclude seems to work inconsistently as of Designer 2020.2. The workaround will tide you over until you can upgrade to 2021.2.
Rather than copying and pasting this process from workflow to workflow, I decided to create a macro (and this macro doesn’t require any configuration!) and make it available to a wider audience with the hope that it will save time and energy by eliminating the need to recreate the process of translating a date week number, quarter, etc.
Suppose you have a datetime stamp in a dataset for the timezone where you are. This dataset includes data for locations in timezones other than the one you're in and you want to convert your datetime stamp to reflect the local time zones of the locations in your data.
Sometimes large amounts of data can 'overwhelm' a tool or process in your workflow and make it appear like it is stuck or frozen. This was the case recently when a user attempted to pass 7 million rows of data to a CASS tool. Splitting these records into smaller chunks makes the process run much quicker.