I am implementing a pipeline to move csv files from one folder to another in a data lake with the condition that the CSV file is encoded in UTF8.
Is it possible to check the encoding of a csv file directly in data factory/data flow?
Actually, the encoding is set in the connection conditions of the dataset. What happens in this case, if the encoding of the csv file is different?
What happens at the database level if the csv file is staged with a wrong encoding?
Thank you in advance.
Just for now, we can't check the file encoding in Data Factory/Data Flow directly. We must per-set the encoding type to read/write test files:
Ref: https://learn.microsoft.com/en-us/azure/data-factory/format-delimited-text#dataset-properties
The Data Factory default file encoding is UTF-8.
Like #wBob said, you need to achieve the encoding check in code level, like Azure Function or Notebook and so on. Call these actives in pipeline.
HTH.
Related
I have a really frustrating error trying to parse basic Json read from Blob Storage using a data set within ADF
My Json is below
[{"Bid":0.197514880839,"BaseCurrency":"AED"}
,{"Bid":0.535403560434,"BaseCurrency":"AUD"}
,{"Bid":0.351998712241,"BaseCurrency":"BBD"}
,{"Bid":0.573128306234,"BaseCurrency":"CAD"}
,{"Bid":0.787556605631,"BaseCurrency":"CHF"}
,{"Bid":0.0009212964,"BaseCurrency":"CLP"}
,{"Bid":0.115389497248,"BaseCurrency":"DKK"}
]
I have tried all 3 Json source settings and every one of them gives the error
Malformed records are detected in schema inference. Parse Mode: FAILFAST
The 3 settings as in
Single Document
Array Of Documents
Document Per Line
Can anyone help? I just simply need this to be a list of objects thats it!
Paul
It should work for the JSON setting - Array of documents.
We face this issue when we have the json file with UTF-8 BOM encoding, the ADF DataFlow is unable to parse such files. You can specify the encoding as UTF-8 without encoding while creating the file, it will work.
In my case, I am using copy activity to merge and create the json file and have specified encoding as UTF-8 without BOM, and it resolved my issue.
Note: For some reason, we cant use the dataset which has "UTF-8 without BOM" encoding in DataFlow, in that case, you can create two datasets one with default UTF-8 encoding (which will be used in DataFlow) and one with UTF-8 without BOM(which will be used in copy activity sink/while creating a file).
Thank you.
I have a SSIS data flow task that reads from a CSV file and stores the results in a table.
I am simply loading the CSV file by rows (not even seperating the columns) and dumpting the entire row to the database, very simple process.
The file contains UTF-8 characters, and the file also has the UTF BOM already as I verified this.
Now when I load the file using a flat file connection, I have the following settings currently:
Unicode checked
Advanced editor shows the column as "Unicode text stream DT_NTEXT".
When I run the package, I get this error:
[Flat File Source [16]] Error: The data type for "Flat File
Source.Outputs[Flat File Source Output].Columns[DataRow]" is DT_NTEXT,
which is not supported with ANSI files. Use DT_TEXT instead and
convert the data to DT_NTEXT using the data conversion component.
[Flat File Source [16]] Error: Unable to retrieve column information
from the flat file connection manager.
It is telling me to use DT_TEXT but my file is UTF-8 and it will loose its encoding right? Makes no sense to me.
I have also tried with the Unicode checkbox unchecked, and setting the codepage to "65001 UTF-8" but I still get an error like the above.
Why does it say my file is an ANSI file?
I have opened my file in sublime text and saved it as UTF-8 with BOM. My preview of the flat file does show other languages correctly like Chinese and English combined.
When I didn't check Unicode, I would also get this error saying the flat files error output column is DT_TEXT and when I try and change it to Unicode text stream it gives me a popup error and doesn't allow me to do this.
I have faced this same issue for years, and to me it seems like it could be a bug with the Flat File Connection provider in SQL Server Integration Services (SSIS). I don't have a direct answer to your question, but I do have a workaround. Before I load data, I convert all UTF-8 encoded text files to UTF-16LE (Little Endian). It's a hassle, and the files take up about twice the amount of space uncompressed, but when it comes to loading Unicode into MS-SQL, UTF-16LE just works!
With regards to the actual conversion step I would say that is for you to decide what will work best in your workflow. When I have just a few files then I convert them one-by-one in a text editor, but when I have a lot of files then I use PowerShell. For example,
Powershell -c "Get-Content -Encoding UTF8 'C:\Source.csv' | Set-Content -Encoding Unicode 'C:\UTF16\Source.csv'"
I am trying to do some optimization in ADF. Setup is a third-party tool copies one JSON file per object to a BLOB storage container. These feed to a Mapping Data Flow. The individual files written by the third party tool work great. If I copy these files to a different BLOB folder using an Azure Copy Data activity, the MDF can no longer parse the files and gives an error: "JSON parsing error, unsupported encoding or multiline." I started this with a Merge Files, but outcome is same regardless of copy behavior I choose.
2ND EDIT: After another day's work, I have found that the Copy Activity Merge File from JSON to JSON definitely adds an EOL character to each single JSON object as it gets imported to the Merge file. I have also found that the MDF fails definitely with those EOL characters in the Merge file. If I remove all EOL characters from the Merge file, the same MDF will work. For me, this is a bug. The copy activity is adding a character that breaks the MDF. There seems to be a second issue in some of my data that doesn't fail as an individual file but does when concatenated that breaks the MDF when I try to pull all the files together, but I have tested the basic behavior on 1-5000 files and been able to repeat the fail/success tests.
I took the original file, and the copied file, ran them through all of sorts of test, what I eventually found when I dump into Notepad++:
Copied file:
{"CustomerMasterData":{"Customer":[{"ID":"123456","name":"Customer Name",}]}}\r\n
Original file:
{"CustomerMasterData":{"Customer":[{"ID":"123456","name":"Customer Name",}]}}\n
If I change the copied file from ending with \r\n to \n, the MDF can read the file again. What is going on here? And how do I change the file write behavior or the MDF settings so that I can concatenate or copy files without the CRLF?
EDIT: NEW INFORMATION -- It seems on further review like maybe the minification/whitespace removal is the culprit. If I download the file created by the ADF copy and format it using a JSON formatter, it works. Maybe the CRLF -> LF masked something else. I'm not sure what to do at this point, but its super frustrating.
Other possibly relevant information:
Both the source and sink JSON datasets are set to use UTF-8 (not default(UTF-8), although I tried that). Would a different encoding fix this?
I have tried remapping schemas, creating new data sets, creating new Mapping Data Flows, still get the same error.
EDITED for clarity based on comments:
In the case of a single JSON element in a file, I can get this to work -- data preview returns same success or failure as pipeline when run
In the case of multiple documents merged by ADF I get the below instead. It seems on further review like maybe the minification/whitespace removal is the culprit. If I download the file created by the ADF copy and format it using a JSON formatter, it works. Maybe the CRLF -> LF masked something else. I'm not sure what to do at this point, but its super frustrating.
Repro: Create any valid JSON as a single file, put it in blob storage, use it as a source in a mapping data flow, to do any sink operation. Create a second file with same schema, get them both to run in same flow using wildcard paths. Use a Copy Activity with Merge Files as the Sink Copy Activity and Array of Objects as the File pattern. Try to make your MDF use this new file. If it fails, download the file created by ADF, run it through a formatter (I have used both VS Code -> "Format Document" from standard VS Code JSON extension, and VS 2019 "Unminify" command) and reupload... It should work now.
don't know if you already solved the problem: I came across the exact same problem 3 days ago and after several tries I found a solution:
in the copy data activity under sink settings, use "set of objects" (instead of "array of objects") under File Pattern, so that the merged big JSON has the value of the original small JSON files written per line
in the MDF after setting up the wildcard paths with the *.json pattern, under JSON Settings select: Document per line as the Document form.
After that you should be good to go, as least it solved my problem. The automatic written CRLF in "array of objects" setting in the copy data activity should be a default setting and MSFT should provide the option to omit it in the settings in the future.
According to my test:
1.copy data activity can't change unix(LF) to windows(CRLF).
2.MDF can also parse unix(LF) file and windows(CRLF) file.
Maybe there is something else wrong.
By the way,I see there is a comma after "name":"Customer Name" in your Original file,I delete it before my test.
I'm new to Jmeter so I hope this question is not too off the wall. I am trying to test an HTTP endpoint that accepts a large JSON payload and processes it. I have collected a few hundred JSON blobs in a file and want to use those as my input for testing. The only way that I have come across for loading the data is using the CSV config. I have a single line of the file for each request. I have attempted to use \n as a delimiter and have also tried adding a tab character \t to the end of each line. My requests all show in put of<EOF>.
Is there a way to read a file of JSON objects, line at a time, and pass them to my endpoint as the body in a POST?
You need to provide more information, to wit: example JSON file (first 2 lines), your CSV Data Set Configuration, jmeter.log file, etc. so we could help.
For the time being I can state that:
Given CSV file looking like:
{"foo":"bar"}
{"baz":"qux"}
And pretty much default CSV Data Set Config setup
JMeter normally reads the CSV data
Be aware that there are alternatives to the CSV Data Set Config, for example:
__CSVRead() function. The equivalent syntax would be ${__CSVRead(test.csv,0)}
__StringFromFile() function. The equivalent syntax would be ${__StringFromFile(test.csv,,,)}
See Apache JMeter Functions - An Introduction to get familiarized with the JMeter Functions concept.
We're constructing a network of data and part of that includes modifying a search query from a public website to pull all of the data we want. That data, however, when pulled is stored into a JSON txt file.
Ultimately we want this data to be stored in an Access Database so the next step, we thought, was to convert it to XML so we can have an Excel sheet to import. We found a formatting tool (http:jsonformatter.org). When running the tool we received the following error:
“Microsoft Access has encountered an error processing the XML schema in file ‘Data.xml’,
A document must contain exactly one root element”
I've no idea what this entails or where to start debugging. Are there alternatives we might consider?
The error says that there is more than one root element. Have you validated the XML generated? I looked at the website. I tried to ask via comment but I don't have enough rep but you should post some of your json and xml.
If I am reading your issue correctly, you are converting json to xml format and then to excel?
I would suggest writing some code to consume the json and export the xml files to import.