I have two files, F1 has 4 fields and file 2 has 14 fields.
I want to overwrite the file 2 in certain position with the values from file 1. As there are no common keys between 2 files, I didn't use join key. Over lay also didn't work and finally I'm getting only the 4 fields which were in F1 in the 0/p instead of 14 fields and in which 4 field value must be from F1.
Related
I have a table like this：
a
b
c
1
2
abc
2
3
4.00
note c2 is text while c3 is a number.
When I do
=QUERY(A1:C,"select *")
The result is like
a
b
c
1
2
2
3
4.00
The "text" in C2 has been missed. You can see the live sheet here:
https://docs.google.com/spreadsheets/d/1UOiP1JILUwgyYUsmy5RzQrpGj7opvPEXE46B3xfvHoQ/edit?usp=sharing
How to deal with this issue?
QUERY is very useful, but it has a main limitation: only can handle one kind of data per column. The other data is left as blank. There are usually ways to try to overcome this from inside the QUERY, but I've found them unfruitful. What you can do is just to use:
={A:C}
You can work with filters by its own, but as a step-by-step to adapt the main features of query: If you need to add conditions, use LAMBDA INDEX and FILTER
For example, to check where A is not null:
=LAMBDA(quer,FILTER(quer,INDEX(quer,,1)<>""))({A:C}) --> with INDEX(quer,,1), I've accesed the first column
Where B is more than one cell and less than other:
=LAMBDA(quer,FILTER(quer,INDEX(quer,,2)>D1,INDEX(quer,,2)<D2))({A:C})
For sorting and limiting an amount of items, use SORTN. For example, you want to sort by 3rd column and limit to 5 higher values in that column:
=LAMBDA(quer,SORTN(FILTER(quer,INDEX(quer,,1)<>""),5,1,3,0))({A:C})
Or, to limit to 5 elements without sorting use ARRAY_CONSTRAIN:
=ARRAY_CONSTRAIN(LAMBDA(quer,FILTER(quer,INDEX(quer,,1)<>""))({A:C}),5)
There are other options, you can use REGEXMATCH and other options, and emulate QUERYs functions without missing data. Let me know!
shenkwen,
If you are comfortable with adding an Google App Script in your sheet to give you a custom function, I have a QUERY replacement function that supports all standard SQL SELECT syntax. I don't analyze the column data to try and force to one type based on which is the most common data in the column - so this is not an issue.
The custom function code - is one file and is at:
https://github.com/demmings/gsSQL/tree/main/dist
After you save, you have a new function from your sheet. In your example, the syntax would be
=gsSQL("select a,b,c from testTable", {{"testTable", "F150:H152", 60, true}})
If your data is on a separate tab called 'testTable'(or whatever you want), the second parameter is not required.
I have typed in your example data into my test sheet (see line 150)
https://docs.google.com/spreadsheets/d/1Zmyk7a7u0xvICrxen-c0CdpssrLTkHwYx6XL00Tb1ws/edit?usp=sharing
Good day,
I have seen from here a solution to control duplicate entries into a single column. A Data validation with this custom formula works well for one column.
I would like to achieve the same effect over multiple columns ... i.e. unique row entries across multiple columns. Take for example below three columns A-C. Only when values {1,2,1} are entered for the second time will the input be rejected.
A B C
1 1 1
1 2 1
1 2 2
2 2 2
1 2 1 X Entry should be rejected.
Is there a quick way to do this using Data Validation - custom formulae?
use custom formula for data validation:
=INDEX(COUNTIF($A$1:$A&"×"&$B$1:$B&"×"&$C$1:$C, $A1&"×"&$B1&"×"&$C1)<2)
I have two text files with only one column each.
I need to take the column from each of the text files and create a new text file with the two columns with tabs.
These columns have no relation (ID) but are in order with each other.
I could do that in Excel, but there are more than 200 thousand lines and not accepted.
How can I do it in Pentaho?
Take 2 text input steps, read both the files,
after that add 2 add constant step create same column with some value,make sure the value of the both constant values remains same.
use stream lookup/merge join and merge them with constant values.
generate the file.
You can read both files with Text file input, add "row number" in each stream, which gives you two streams of 2 fields each. Then you can Merge join both streams on Row number, and finally a Select fields step to clean up the output so that only the two relevant fields are kept. Then Text file output to write it.
I looked around for a bit and didn't see any question quite like the one I have. I have a sheet with over 80k values in column A. What I need, is to remove every occurrence of a duplicate. If the value 5 appears more than once, I don't want the value at all. For example, if I have something like this:
A
1
2
2
3
4
3
I ONLY want the values of 1 and 4, because they only appear once. I'd like every other value deleted, or to have only the values like 1 and 4 appear in another column.
Any help is greatly appreciated.
Work on a copy as the following deletes records from source data. In B1 (adjust 90000 to suit):
=COUNTIF(A$1:A$90000;A1)>1
and copy down to suit. Filter A:B, select 1 for ColumnB and delete the selected rows. Change filter to select All.
I am new to informatica power center tool and performing some assignment.
I have input data in a flat file.
data.csv contains
A,2
B,3
C,2
D,1
And Required output will be
output.csv should be like
A
A
B
B
B
C
C
D
Means I need to create output rows depending upon value in column. I tried it using java transformation and I got the result.
Is there any other way to do it.
Please help.
Java transformation is a very good approach, but if you insist on an alternative implementation, you can use a helper table and a Joiner transformation.
Create a helper table and populate it with appropriate amount of rows (you need to know the maximum value that may appear in the input file).
There is one row with COUNTER=1, two rows with COUNTER=2, three rows with COUNTER=3, etc.
Use a Joiner transformation to join data from the input file and the helper table - since the latter contains multiple rows for a single COUNTER value, the input rows will be multiplied.
COUNTER
-------------
1
2
2
3
3
3
4
4
4
4
(...)
Depending on your RDBMS, you may be able to produce the contents of the helper table using a SQL query in a source qualifier.