You can use...Embedded Python! You just need a business service EnsLib.File.PassthroughService to get the the json file and send it into a BP with a ClassMethod to get all the lines, here you can see an example:

https://www.geeksforgeeks.org/read-a-file-line-by-line-in-python/

You can save the object directly from the Embedded Python method or return a list of strings and map it into an Objectscript object.

The code was developed for ensemble in theory it should work.

Our workmate @Alberto Fuentes uploaded on open exchange an application to transform HL7v2 XML into er7 format, maybe it can help you: 

https://openexchange.intersystems.com/package/Healthcare-HL7-XML

In my opinion the problem is that your text is already in UTF8 but with wrong characters due to a wrong decode so you can't remove it with $ZCONVERT, you should define the charset of the data from the class that is receiving the JSON to decode the JSON properly.

To declare a specific charset for a REST API (I guess that you are using a class that extends %CSP.REST) you have to define the following parameter:

Parameter CHARSET = "utf-8";

In my case I was receiving UTF8 texts, you should configure it with your specific charset.

Where are you receiving that text? A business service? From an API REST? 

You can use $ZF(-100) command to execute operative system commands (here an example), with that command you can look for the process that is locking the superserver.

Well, I highly recommend to you to not use the same instance of Health Connect for TEST, DEV and PRODUCTION, even more, I recommend to you to deploy each environmnent in different servers.

It won't be the first time that a code un DEV has a infinite loop creating heavy globals that use all the space in the disk. 

Do you mean Intersystems Reports?

https://docs.intersystems.com/components/csp/docbook/Doc.View.cls?KEY=GISR

You can check the process running for each namespace and the CPU time:

And using de PID you can identify in your Operative System (Windows or Linux) the process to check the memory used.

Congratulations to all the participants!

Here is the documentation for the Nginx in Windows:

https://docs.intersystems.com/healthconnect20243/csp/docbook/Doc.View.cl...

Thank you very much Community!!