Google sheets max cells limits and mitigations - google-sheets

I'd read online that Google sheets has a max cell limit of 5 million cells. A sheet that I'm currently working on has well and above passed that limit (including blank cells).
What is the new limit?
Also I'd manually checked how many cells I was using. Is there any
function or script that I can use to keep a check?
The sheet I'm working on is going to only get bigger and it's already lagging heavily. I'd love some suggestions on which platform I could move to next to handle such big data. There are so many options, it's mindboggling. I use Google sheets mainly for it's ease in collaboration, presentability and ease of use. Any other tool with these traits but with an ability to handle bigger data?

in the early years, it was 5 million cells. last year this was upgraded to 10 million cells
you can follow updates at: https://workspaceupdates.googleblog.com/search/label/Google%20Sheets
try:
take a look on Google DataStudio

The easiest way I found to check the cell limit was to try and add a huge amount of lines at the end of the document, which gave me this error message:
This reads: "An error has occurred: This action would increase the number of cells in the worksheet above the limit of 10000000 cells".
However, when I used one more digit, I got a different message:
That one reads: "Oops, enter a number between 1 and 5000000", suggesting the maximum number of rows you can have is 5 million, while the max of cells can be up to 10 million. I'm not sure about the columns, but I'd say it is the as the row's limit.

Related

Downloaded my dataset combine from BigQuery to Google Sheets using Export, but only showed me 500 rows instead of the 3,745,465 rows

I want to export some datasets I combined which results in 3,745,465 rows in total. When I get to Google Sheets it says only allows me to see 500 rows "preview." When I clicked on my columns filters, the system has 3,745,465 but when I downloaded it as an excel sheet it only gives me 500 rows only instead of the whole data.
The result I want is to get the whole row number counts not only the 500 rows preview.
google sheets compared to bigquery is a small ecosystem. there are limits even cell limits. you are allowed to have 10 million cells per the whole spreadsheet. so if you have only one sheet with one single column you can have 10M cells which is equal to 10M rows (in theory). in reality, you will experience significant performance issues after like 30k rows and with ~ 80k you will be lucky if the whole spreadsheet won't crash.

Calculating average for more than one month of data

I am writing some formulas that will make up a dashboard that allows for a dynamic look-up of change in waiting times for admission into a hospital. In this case, what I want to do is create a lookback period of 1 month, 3 months, 6 months, and 1 year to see how waiting times have changed during this time at a few locations. It's a bit of a complex issue, but the stripped down data and my example code can be found here (fully shared for editing).
I have successfully gotten the correct formulas for finding 1 month worth of change, but how to apprroach more than 1 month's worth of data eludes me and this is especially problamatic because the date formatting is not standard excel/google sheets data format. As this data will be continously fed into the spreadsheet, I don't think I have the option to modify it either so I think the only option is to come up with some pretty funky formulas that treat months as text. Alternatively, I guess I can also try to make a formula that reformats the text into valid google sheets dates and then use that to make calculations but then while I could probably write that formula, I'd still not know how to get multiple months worth of data processed. Can anyone help take a look at the sheet? (feel free to copy/edit the file if necessary).
try like this:
=QUERY({INDEX(SPLIT(Data!A3:A, "T"),,1), Data!B3:C},
"select avg(Col3)
where Col1 >= "&DATEVALUE(EOMONTH(TODAY(), -4)+1)&"
group by Col2
label avg(Col3)''")
spreadsheet demo

Is there a maximum number of named ranges in google sheet

I am writing a Python program to extract values from a google sheet and I am running into a weird problem whereby named ranges that I know I have put in to the sheet starts disappearing. When I re-enter them, some other range disappears. This has happened after I have added a large number of named ranges. I don't get any error message and it is seems somewhat random which ranges disappears. Could it be that there is a maximum number of named ranges and that some old ranges are removed automatically when I add a new one? I have search for any maximum number in the documentation but haven't been able to find one.
Yes, there is. Currently nine hundred and ninety nine (999).
'Suck it and see' courtesy Jacob Jan Tuinstra.

I can't figure out how to filter or query in Google Sheets without returning a bunch of blank strings appended to actual data

I'm at my wit's end on trying to figure out why filtering/querying in Google Sheets is so broken. I have a sheet with some data about practice exams I'm taking and I'm attempting to pull some data from that sheet to another sheet for calculating statistics. I've made a shareable document with the pertinent stuff so you can see what I mean.
My raw data is in the TestScores sheet and I made a TESTSTATS sheet to test different methods of pulling data from TestScores. In my example, I'm only trying to pull unique dates from range TestScores!B2:B and I've added a few different methods to do so in TESTSTATS (removed the equal sign from each one so each can be tested on its own by putting in the equal sign).
The methods I've tried:
=UNIQUE(TestScores!B2:B)
=UNIQUE(FILTER(TestScores!B2:B, TestScores!B2:B<>""))
=UNIQUE(FILTER(TestScores!B2:B, TestScores!B2:B<>0))
=UNIQUE(FILTER(TestScores!B2:B, NOT(ISBLANK(TestScores!B2:B))))
=UNIQUE(QUERY(TestScores!B2:B, "select B"))
=ARRAY_CONSTRAIN(UNIQUE(QUERY(TestScores!B2:B, "select B")), ROWS(UNIQUE(TestScores!B2:B))+1,5)
You'll see that each one, when activated by adding the = in front of the formula returns the proper data, but also appends 500 empty rows which look empty, but are in fact blank strings (""). This makes it difficult to work with because there are a lot of calculations in my sheet that depend on one another. I also do not want to specify an explicit end to my ranges and would prefer to keep them open ended (B2:B instead of B2:B17) so everything updates automatically as new records are added.
What am I doing wrong? Why are the returned data appended with a bunch of empty cells, and why 500 specifically (seems arbitrary considering my source data is 29 or 30 rows depending on whether or not you include headers)?
Starting with only two rows in TESTSTATS more rows have to be added for somewhere to place the output. It seems Google choose to do so 500 rows at a time (from the last required cell). "Why?" would have to be a matter for Google.
If you know 14 rows are required for the output and increase the size of TESTSTATS to 16 no more rows will be added. Since you want room for expansion you can't extend to 16 and avoid further issues but you could allow some room, say to 30 rows, and delete the few extra, or, if 30 becomes insufficient (when sheet shoots up to say 540 rows) delete the rows not required but set the sheet size to say 60 rows - and so on.

Is there any way to fix the 2 million cell limit in Google Sheets?

I'm even willing to pay for a Google service, if necessary. I only need a spreadsheet with unlimited cells/storage and flexibility in using it.
Can anyone suggest a plan, if there is one?
"Unlimited" is pie in the sky but since the current limit for cells in a spreadsheet is five million, there's an extra three million for you. Gratis.
And there is BigQuery.
As I know, there is no plan for it and no possibility to break the limit.
You just can try some optimisation:
delete all unused columns and rows from all the TAB being used in the spreadsheet as empty cells are also counted.
you could breakup the data into various spreadsheet workbooks...

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