I need to pass a txt file using data copy to a database table. my text file is separated by pipe(|) but there are some dates within that file that are also being pipe-separated.
example: /Vig.2002|03|03
and so the data factory considers a number in each column to be something that is just garbage. Does anyone know how to solve this?
in the data set I use the pipe separator (|) for the columns
After several successful pipelines witch move .txt files from you Azure fileshare to your Azure SQL-server I am experiencing problems with moving one specific file to an sql-server table. I get the following errorcode:
ErrorCode=DelimitedTextMoreColumnsThanDefined,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=Error found when processing 'Csv/Tsv Format Text' source 'chauf_afw.txt' with row number 2: found more columns than expected column count 5.,Source=Microsoft.DataTransfer.Common,'
Azure Data factory sees 5 column on both sink and source side. On both sides(source and sink) I have a schema with 5 columns, the final schematic look likes following.
schematic picture The .txt file contains 6 columns when counting the tabs.
The source file is a UTF-8 .txt file with tab separated data nothing special and in the same format as the other successfully imported files.
Regarding the delimiter the file used tabs in notepad++ it looks like this.
I am afraid I am missing something but I can't file the cause the the error code.
I have CSV files that I want to copy from a blob to DW, the CSV files have comma after the last column (see example below). Using ADF, I tried to copy csv files to a SQL table in DW. However, I got this error, which I think it's because of the last comma (as I have 15 columns):
few rows of csv file:
Code,Last Trading Date,Bid Price,Bid Size,Ask Price,Ask Size,Last Price,Traded Volume,Open Price,High Price,Low Price,Settlement Price,Settlement Date,Implied Volatility,Last Trade Time,
BNH2021F,31/03/2021,37.750000,1,38.000000,1,,0,,,,37.750000,29/03/2021,,,
BNM2021F,30/06/2021,44.500000,6,44.700000,2,44.400000,4,44.300000,44.400000,44.300000,44.500000,29/03/2021,,15-55-47.000,
BNU2021F,30/09/2021,46.250000,2,47.000000,1,47.490000,2,47.490000,47.490000,47.490000,46.920000,29/03/2021,,15-59-10.000,
Note that CSVs are the original files and I can't change them. I also tried different Quote and Escape characters in the dataset and it didn't work.
Also I want to do this using ADF, not azure functions.
I couldn't find any solution to that, please help.
Update:
It's interesting that the dataset preview works:
I think you can use data flow to achieve that.
Azure data factory will interpret last comma as a column with null value. So we can use Select activity to filter last column.
Set mapping manually at sink.
Then we can sink to our DW or SQL table.
You are using 15 columns and your destination is expecting 16. Add another column to your CSV or modify your DW.
There is a simple solution to this.
Step 1:
Uncheck the "First Row as header" option in your source dataset
Step 2: Sink it first to another CSV file. in the sink csv dataset import schema like below. Copy activity will create a new CSV file with all clean 15 columns i.e. last extra comma will not be present in new csv file.
Step 3: Copy from the newly created csv file with "First row as header" checked and sick it to DW.
I am having data in my sql table as shown below screenshot, which is having an extra comma in values column after the values. It is actually list of values which is having more values.
I have to import this data into a pipe delimited csv file. And it is shown as below screenshot.
How will I remove the additional comma from that column while importing the data into a csv file with pipe delimiter.
I am performing the import using an azure data factory pipeline. Is there any way to avoid the extra comma from imported file or while importing?
Is there any way to make this changes at the time of importing the file to an ADLS location through ADF? Any changes that has to be make in ADF?
As Joel commented, you can just modify your query to do that while extracting. It might look like this:
select ID, timestamp, replace([values], ',', '') as values from [YourTable]
Hope this helped!
I have to copy data from oracle table to a csv file in azure blob. I used the copy activity component and add the proper configuration. But the problem is oracle data have some commas because of which the csv file generated does not contain proper data.Please help with this problem i am new to azure data factory below is the link of my blob dataset properties.
https://i.stack.imgur.com/z7E4X.png
Actually I need some information from you. What is the delimiter used in your CSV file. Is it comma or some other like pipe.
If you have used comma as a delimiter then you need to use the replace function to replace the comma which is there in your data to prevent it from being delimited.
Use the below code to replace:
Replace(name, "," , " ")
/Here name is the column name/
If the delimiter is pipe then the data might contain pipe. You need to use the REPLACE function in the similar way.
Regards,
Pratik
Below image will solve your problem.
There is a property in advance tab of blob dataset called quote character.
please refer the below image
https://i.stack.imgur.com/ItgWO.png