I have a STRING field (standard /AIF/ALERTS-KEYFIELDSTRING), but I need it as CHAR in an ABAP CDS view (no table function) for further functions. I am aware it will cut off anything after a set number of characters, but I am fine with that.
Neither of these work:
cast(KEYFIELDSTRING as abap.char(100)) as c_keyfieldstring
substring(KEYFIELDSTRING, 1, 100) as c_keyfieldstring
This definitely works:
define view Z02_CAST
as select from Z02_CUSTOMER as c
{
cast(c.name as abap.char(4)) as c_keyfieldstring
}
Need to see the table field definition perhaps.
What error are you getting. Maybe its working but 100 characters is too long to show up easily?
Related
I want sort view by a value that is string. but before that, i want convert string to int then sort by that.
main = models.Main.objects.all().order_by('fore_key__n')
In this code fore_key__n is string value like '20'
Annotations and DB functions can probably do this. Cast the string value to an int and then use it to order the queryset. I haven't ever had cause to try this, so treat the following as a suggestion:
main = models.Main.objects.annotate(
fkn_int_cast=Cast('fore_key__n', output_field=IntegerField()),
).order_by('fkn_int_cast')
It will throw a django.db.utils.DataError should the data in the field not be capable of conversion. Therefore, it's probably necessary to apply a regex filter as well
main = models.Main.objects.filter(
fore_key_n__regex='^[0-9]+$'
).annotate(
fkn_int_cast=Cast('fore_key__n', output_field=IntegerField()),
).order_by('fkn_int_cast')
There are other DB functions you might use, for example, to replace the commas in '1,234,456' with null strings so it becomes Cast'able
I have a filed with a string that is pipe-delimited like this:
value 1|value 2|value 3
In Datastudio I'm trying this method I found on here, creating a custom field and using this:
REGEXP_EXTRACT(Event Label, '^(?:[^\\|]*_){0}([^\\|]*)')
This works to return the first value. However, I'm not able to do this to return value 2 or value 3, etc. This does not work:
REGEXP_EXTRACT(Event Label, '^(?:[^\\|]*_){1}([^\\|]*)')
The solutuion in case anyone else finds this:
REGEXP_EXTRACT(Event Label, '^(?:[^\\|]+\\|){1}([^\\|]+)')
This works to extract the segment of a pipe-delimited string in Google Data Studio. Just change the number to the segment - 1 (first segment is 0).
I think there is a limit here that you can only extract ONE of the values in the string. Otherwise, it would break the model of how data studio works (table based). no?
If you have found that you CAN create a new custom field from more than one value, I would like to learn how you have done this!
Goal: I have a bunch of keywords I'd like to categorise automatically based on topic parameters I set. Categories that match must be in the same column so the keyword data can be filtered.
e.g. If I have "Puppies" as a first topic, it shouldn't appear as a secondary or third topic otherwise the data cannot be filtered as needed.
Example Data: https://docs.google.com/spreadsheets/d/1TWYepApOtWDlwoTP8zkaflD7AoxD_LZ4PxssSpFlrWQ/edit?usp=sharing
Video: https://drive.google.com/file/d/11T5hhyestKRY4GpuwC7RF6tx-xQudNok/view?usp=sharing
Parameters Tab: I will add words in columns D-F that change based on the keyword data set and there will often be hundreds, if not thousands, of options for larger data sets.
Categories Tab: I'd like to have a formula or script that goes down the columns D-F in Parameters and fills in a corresponding value (in Categories! columns D-F respectively) based on partial match with column B or C (makes no difference to me if there's a delimiter like a space or not. Final data sheet should only have one of these columns though).
Things I've Tried:
I've tried a bunch of things. Nested IF formula with regexmatch works but seems clunky.
e.g. this formula in Categories! column D
=IF(REGEXMATCH($B2,LOWER(Parameters!$D$3)),Parameters!$D$3,IF(REGEXMATCH($B2,LOWER(Parameters!$D$4)),Parameters!$D$4,""))
I nested more statements changing out to the next cell in Parameters!D column (as in , manually adding $D$5, $D$6 etc) but this seems inefficient for a list thousands of words long. e.g. third topic will get very long once all dog breed types are added.
Any tips?
Functionality I haven't worked out:
if a string in Categories B or C contains more than one topic in the parameters I set out, is there a way I can have the first 2 to show instead of just the first one?
e.g. Cell A14 in Categories, how can I get a formula/automation to add both "Akita" & "German Shepherd" into the third topic? Concatenation with a CHAR(10) to add to new line is ideal format here. There will be other keywords that won't have both in there in which case these values will just show up individually.
Since this data set has a bunch of mixed breeds and all breeds are added as a third topic, it would be great to differentiate interest in mixes vs pure breeds without confusion.
Any ideas will be greatly appreciated! Also, I'm open to variations in layout and functionality of the spreadsheet in case you have a more creative solution. I just care about efficiently automating a tedious task!!
Try using custom function:
To create custom function:
1.Create or open a spreadsheet in Google Sheets.
2.Select the menu item Tools > Script editor.
3.Delete any code in the script editor and copy and paste the code below into the script editor.
4.At the top, click Save save.
To use custom function:
1.Click the cell where you want to use the function.
2.Type an equals sign (=) followed by the function name and any input value — for example, =DOUBLE(A1) — and press Enter.
3.The cell will momentarily display Loading..., then return the result.
Code:
function matchTopic(p, str) {
var params = p.flat(); //Convert 2d array into 1d
var buildRegex = params.map(i => '(' + i + ')').join('|'); //convert array into series of capturing groups. Example (Dog)|(Puppies)
var regex = new RegExp(buildRegex,"gi");
var results = str.match(regex);
if(results){
// The for loops below will convert the first character of each word to Uppercase
for(var i = 0 ; i < results.length ; i++){
var words = results[i].split(" ");
for (let j = 0; j < words.length; j++) {
words[j] = words[j][0].toUpperCase() + words[j].substr(1);
}
results[i] = words.join(" ");
}
return results.join(","); //return with comma separator
}else{
return ""; //return blank if result is null
}
}
Example Usage:
Parameters:
First Topic:
Second Topic:
Third Topic:
Reference:
Custom Functions
I've added a new sheet ("Erik Help") with separate formulas (highlighted in green currently) for each of your keyword columns. They are each essentially the same except for specific column references, so I'll include only the "First Topic" formula here:
=ArrayFormula({"First Topic";IF(A2:A="",,IFERROR(REGEXEXTRACT(LOWER(B2:B&C2:C),JOIN("|",LOWER(FILTER(Parameters!D3:D,Parameters!D3:D<>""))))) & IFERROR(CHAR(10)®EXEXTRACT(REGEXREPLACE(LOWER(B2:B&C2:C),IFERROR(REGEXEXTRACT(LOWER(B2:B&C2:C),JOIN("|",LOWER(FILTER(Parameters!D3:D,Parameters!D3:D<>""))))),""),JOIN("|",LOWER(FILTER(Parameters!D3:D,Parameters!D3:D<>""))))))})
This formula first creates the header (which can be changed within the formula itself as you like).
The opening IF condition leaves any row in the results column blank if the corresponding cell in Column A of that row is also blank.
JOIN is used to form a concatenated string of all keywords separated by the pipe symbol, which REGEXEXTRACT interprets as OR.
IFERROR(REGEXEXTRACT(LOWER(B2:B&C2:C),JOIN("|",LOWER(FILTER(Parameters!D3:D,Parameters!D3:D<>""))))) will attempt to extract any of the keywords from each concatenated string in Columns B and C. If none is found, IFERROR will return null.
Then a second-round attempt is made:
& IFERROR(CHAR(10)®EXEXTRACT(REGEXREPLACE(LOWER(B2:B&C2:C),IFERROR(REGEXEXTRACT(LOWER(B2:B&C2:C),JOIN("|",LOWER(FILTER(Parameters!D3:D,Parameters!D3:D<>""))))),""),JOIN("|",LOWER(FILTER(Parameters!D3:D,Parameters!D3:D<>"")))))
Only this time, REGEXREPLACE is used to replace the results of the first round with null, thus eliminating them from being found in round two. This will cause any second listing from the JOIN clause to be found, if one exists. Otherwise, IFERROR again returns null for round two.
CHAR(10) is the new-line character.
I've written each of the three formulas to return up to two results for each keyword column. If that is not your intention for "First Topic" and "Second Topic" (i.e., if you only wanted a maximum of one result for each of those columns), just select and delete the entire round-two portion of the formula shown above from the formula in each of those columns.
I have a series of values in Tableau that are long strings intermixed with letters and numbers. I am unable to control the data output, but would like to parse the names from these strings. They follow the following format:
Potato 1TByte 4.5 NFA
Board 256GByte 553 NCA
Launch 4 512GByte 4.5 NFA
Launch 4S 512GByte 4.5 NCA
From each of these, I am attempting to capture the following:
"Potato"
"Board"
"Launch 4"
"Launch 4S"
Each string follows the same format: the name, followed by size, followed by some extra information we don't really care about.
I've tried to put together some text parsing strings, but am coming up short, and am still trying to learn regular expressions.
The Tableau calculated field I was trying to work with was something like the following:
LEFT([String], FIND([String], "Byte") - 2)
The issue is that the text and numbers preceding Byte can be anywhere from 4 to 2 characters and I need a way to identify the length of that.
Any help would be greatly appreciated!
One option which uses a regex replacement:
REGEXP_REPLACE('Launch 4 512GByte 4.5 NFA', ' \d+[A-Z]Byte .*$', '')
This strips off everything from the Byte term to the right, leaving us with only the product name.
You could try the following - this seems to work - Screenshot of Tableau output. Find below the formulas for the various derived columns you see in the screenshot (Your source column is called [Name])
Step1 = LEFT([Name],FIND([Name],"Byte")-1)
Step2 = LEN([Step1])-LEN(REPLACE([Step1]," ",""))
Step3 = FINDNTH([Step1]," ",[Step2])
Step4 = LEFT([Step1],[Step3]-1)
And of course you can nest all these in a single calculated field - kept them as separate columns for easier understanding
I am developing an application using Qt/KDE. While writing code for this, I need to read a QString that contains values like ( ; delimited)
<http://example.com/example.ext.torrent>; rel=describedby; type="application/x-bittorrent"; name="differentname.ext"
I need to read every attribute like rel, type and name into a different QString. The apporach I have taken so far is something like this
if (line.contains("describedby")) {
m_reltype = "describedby" ;
}
if (line.contains("duplicate")) {
m_reltype = "duplicate";
}
That is if I need to be bothered only by the presence of an attribute (and not its value) I am manually looking for the text and setting if the attribute is present. This approach however fails for attributes like "type" and name whose actual values need to be stored in a QString. Although I know this can be done by splitting the entire string at the delimiter ; and then searching for the attribute or its value, I wanted to know is there a cleaner and a more efficient way of doing it.
As I understand, the data is not always an URL.
So,
1: Split the string
2: For each substring, separate the identifier from the value:
id = str.mid(0,str.indexOf("="));
value = str.mid(str.indexOf("=")+1);
You can also use a RegExp:
regexp = "^([a-z]+)\s*=\s*(.*)$";
id = \1 of the regexp;
value = \2 of the regexp;
I need to read every attribute like rel, type and name into a different QString.
Is there a gurantee that this string will always be a URL?
I wanted to know is there a cleaner and a more efficient way of doing it.
Don't reinvent the wheel! You can use QURL::queryItems which would parse these query variables and return a map of name-value pairs.
However, make sure that your string is a well-formed URL (so that QURL does not reject it).