I have a copy activity which takes the output of a procedure and writes it to a temp CSV file. I needed to have headers in double quotation mark so after that I have a Data Flow task that takes the temp file and adds the quote all in the sink settings. Yet the output is not what is expected. It looks like the last column is missing in some of the records due to comma in the data.
Is there a way to use only copy activity but still have the column names in double quotes?
When we set the column delimiter, data factory will consider the first row as the schema according the delimiter number. If your data which has the value which same with the column delimiter, then you will miss some columns.
Just for now in Data Factory, we can't solve it. The only way is that please se the different column delimiter, for example the '|':
Output example:
And we also can't make the header wrapped by double quote for the output .csv file. It's not supported in Data Factory.
HTH.
Related
I get a weekly file in which has up to 34 columns but sometimes the first line of the file only has 29 columns. I have imported a schema with 34 columns but when I preview the data, data factory, just ignores the schema I've made for the file and shows the first 29 fields.
Apparently we cant ask for headers to be added to file. How do I force data factory to just read the file as having 34 columns because I've given it the schema. Adding the missing 5 pipes which are the delimiter fixes the issue but I don't want to have to do that every week.
Kind Regards.
I have repro’d with some sample data using data flow.
Create the delimited text dataset and select column delimiter as no delimiter to read the file as single column data.
In the source, the first row contains 3 columns delimited by pipe | and the second row has 5 columns when delimited with |.
Using derived column transformation, split the column into multiple columns based on |.
ex: split(Column_1, '|')[1]
beginner SAS user here. Trying to rename column variables from NHANES data, but the code that I am using is registering wrong. The column names are long and drawn out so its been nearly impossible for me to try to recode them into a simpler format. Example and code down below, any assistance is greatly appreciated! For example, I'm trying to get Respondent sequence number to be renamed as ID, but SAS is having issues with the spaces between the original name if that makes sense.
data NHANES.Combined;
set NHANES.Combined;
rename Respondent sequence number = ID; run;
Image of Data Table
You have to use the names in the RENAME statement, not the labels you are looking at in the VIEWTABLE window. If you actually have a name with spaces in it (which you will not with NHANES data) then use a name literal in the code so SAS can parse out what parts of the command line represent the variable names.
rename 'non standard name'n = standard_name ;
Run PROC CONTENTS on your dataset to see the variable names and their attributes (TYPE, LENGTH, FORMAT, LABEL).
Have text tab delimited file which I'm converting into csv in ADF
In which, some field having comma separated values ( Don't want to split into columns) -> want to treat it as single column
But in ADF trying to separate those values into multiple column
Although, I have set a delimiter as "TAB(\t)", still ADF taking Comma and tab both as delimiter
why?
As you can see in the above Ex,
I want to split this on basis of '\t' delimiter but ADF considering 'tab' as well as 'comma' as a delimiter(Want to treat [pp,aa] as single value/column)
Any solution? plz let me know.
Thank you
Attaching ADF conf as well.
Set the quote character to a single character instead of "No quote character" in source and sink datasets.
I tried with the sample and was able to get the data as expected.
Source:
Source Dataset:
Sink Dataset:
output:
Reference - Dataset Properties
Property
Description
quoteChar
The single character to quote column values if it contains column delimiter. The default value is double quotes ".
escapeChar
The single character to escape quotes inside a quoted value. The default value is backslash \.
Hi everyone I have not seen this particular issue pop up, I've seen a few related but none address this.
I have very big CSVs (up to 8gb) with comma as delimiter, free text in some columns, and commas in some of that free text.
As requirements, I cannot generate or ask for the CSVs to be generated again with another delimiter, and I have to use Data Flow to achieve this.
I would like to learn how to deal with text such as:
A, some text 2132,ALL, free text 00001,2020-11-29 - 2020-12-05
A, some text 2132,ALL, free text\,more text 0002,2018-12-09 - 2018-12-15
A, some text 2132,ALL, free text\,more text 00003,2018-12-09 - 2018-12-15
Things I have tried:
I tried making both simple Data Flows and Copy Activities in order to see if the parser did the operation properly, which it did not, didn't matter what combination of configuration of dataset as csv I tried.
I tried reading the whole csv as one column, writing to file with the "," regexed out, this has the issue of "losing" the commas from the csv so I have spaces as delimiter so I am back to square one, not having a proper delimiter, since text has spaces and would break.
Actually, data factory can't deal with the csv file which column data have the character same with column delimiter. It will cause the schema/column missing.
Even with Data Flow, Data Factory will always recognize the first row as the schema according the delimiter number.
As you said you can't change the source csv file and can't use data flow. then I'm afraid to say I we can't achieve it in Data Factory.
What I did for this to work (did it it twice with different results so I am still missing things, but one of them it worked).
Create a dataset with no delimiter, so the whole CSV row is read as a column. Use dataflow replace function there to make the problematic string dissapear. Write to disk as CSV.
Read as CSV with proper delimiter. Do whatever data needs done, write to disk as parquet. That appears to work.
I'm looking to write a script for MATLAB that will import data from a csv file which has a first row containing string headers and the data in each of those columns is either string, date or numeric.
I want to then be able to filter the data in MATLAB according to instances of a particular string and number combination.
Any help appreciated!
Cheers!
I would recommend you to start with reading MATLAB documentation.
[num,txt,raw] = xlsread('myExample.xlsx')
Reads numeric, text and combined data, so, if your data is combined, then you need the cell array raw. After that, you do whatever you want with your cell array (Additional information is not provided since OP did not provide any specific information about the way the data would be filtered)
Try using readtable function in MATLAB.
It correctly imports csv file with header and mixed data type.
xlsread was imported by mixed csv file very incorrectly repeating the some rows while maintaining the same total rows.
I got this after searching for a long time:
MATLAB Central Question/Answer