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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.
The DateTime tool is a great way to convert various string arrangements into a Date/Time field type. However, this tool has two simple, but annoying, shortcomings :
Convert Multiple Fields: Each DateTime tool only lets you convert one field. Many Alteryx tools (MultiField, Auto Field, etc.) allow you to choose what field(s) are affected by the tool. If I have a database with a large number of string fields all with the same format (such as MM/DD/YYYY), I should be able to use one DateTime tool to convert them all!
Overwrite Existing Field: The DateTime tool always creates a new field that contains your converted date/time. I ALWAYS have to delete the original string field that was converted and rename the newly created date/time field to match the original string field's name. A simple checkbox (like the "output imputed values as a separate field" checkbox in the Imputation tool) could give the flexibility of choosing to have a separate field (like how it is now) or overwrite the string field with the converted date/time field (keeping the name the same).
Alteryx is overall an amazing data blending software. I recognize that both of these shortcomings can be worked around with combinations of other Alteryx tools (or LOTS of DateTime tools), but the simplicity of these missing features demonstrates to me that this data blending tool is not sufficiently developed. These enhancements can greatly improve the efficiency of date handling in Alteryx.
STAR this post if you dislike the inflexibility of the DateTime tool! Thank you!
I love the new Custom Format option with the DateTime tool in Alteryx 11.0, this makes working with dates SO MUCH easier... BUT it would be great if you could update an existing field rather than having to create a new column (e.g. DateTime_Out) and then use a select to put this back to the original Date field.
Hi, I've noted that there is not url-decode function in Alteryx. I guess I'm the first one to need that, so I'm posting this idea here. I think it would not be a big deal to do so if there's a url-encode function.
Access to only MD5 hashes via MD5_ASCII(String) and MD5_UNICODE(String) found under string functions is limiting. Is there a way to access other hashing algorithms, ideally via the crypto algorithms from OpenSSL or the .NET framework?
- For workflows with data containing existing hashes, being able to consistently create hashes from non-hashed data for comparison is useful. - Hashes are also useful because they are the same outside the Alteryx environment. They can be used to confirm correct operation of a production system or a third party's external process.
Access to only MD5 hashes via MD5_ASCII(String) and MD5_UNICODE(String) found under string functions in the formula tool is a start, but quite limiting.
A problem I'm currently trying to solve and feel like I'm spending way too much time on it..
I have a data set which has some data in it from multiple languages, and I only want English values. I was able to get rid of the words with non English letters with a little regular expression and filtering. However, there's some words that do contain all English letters but aren't English. What I'm trying to do is bring in an English dictionary to compare words and see which rows have non English words according to the dictionary. However, this is proving to be a bit harder than I thought. I think I can do it, but it feels like this should be much simpler than it is.
It would be great to have a tool that would run a "spell check" on fields (almost all dictionaries for all languages are available free online). This could also be useful also just for cleaning up open text types of data where people type stuff in quickly and don't re-read it! :-)
It would be a handy feature if it were possible to choose a data type for an input tool to read the data in as. For example, if a dataset has multiple fields with different data types, it would be handy to be able to make the Input Tool read and output them all as a string, if needed. This would also make a handy tool, a sort of blanket data conversion to convert all fields to the specified type.
After you've saved a file from the Browse tool, a popup window appears to confirm the file saved. That popup window contains an image off text that you can't copy/paste.
I recommend turning that text into a hyperlink so users can just double-click on the popup window to open the file they just created. Or add another button to "Open File" next to the "OK" button. This would eliminate the need to go find the file you just created.
The tokenize would be more powerful if in addition to Drop Extra with Warning / Without Warning / Error, you could opt to have extra tokens concatenated with the final column.
Example: I have a values in a column like these:
In all 3 cases, I want to split to 3 columns (key, mlsid, mlsnumber), though I only care about the last two. But in the third example, the mlsnumber RX-10326049 actually contains a hyphen. (Yes, the source for this data picked a very bad delimiter for a concatenated value).
I can parse this a lot of different ways - here's how I do it in SQL:
Similar to the regular formula tool, it would be great if we would be able to configure multiple text to column processes within one tool rather than having to line up several tools when having to convert various fields of different logic at the same time.
I'm stealing this idea from Tableau's number formatting, it's a timesaver.
In the DateTime tool if I've initially selected a value besides Custom in the "Select the format..." list then when I click Custom rather than having the Custom textbox be blank I'd like to have it automatically populated with whatever formatting string I just selected. Here's an example screenshot: