Please note, this MP makes use of the MP1Node.h and MP1Node.cpp files that are like the ones from the previous MP. You can (and should) copy your own MP1Node.h and MP1Node.cpp files from MP1 to this directory, and then make use of them in local testing.
However, if you were not completely successful on MP1, then you can still choose to have your MP2 graded against a reference solution copy of MP1 on the server. You cannot see the MP1 solution source code, but it will be used to compile and link your MP2 files. When you use the submit.py script in this directory, you will be asked to choose whether to submit your own MP1 files or to rely on the solution files on the server.
Read the specification document thoroughly on Coursera.
Create a high level design covering all scenarios / test cases before you start coding.
To submit your work for autograding on the server, you need to generate a fresh submission token from the Coursera assignment web page. It's a text string you can copy and paste. Then, you need to run the submission script from your workspace directory:
python3 ./submit.py
It will ask you to enter your Coursera email address and the submission token.
Run the grader. Check the run procedure in KVStoreTester.sh. You can run this test suite locally like this:
$ chmod +x KVStoreTester.sh
$ ./KVStoreTester.sh
The chmod part only needs to be done once to allow the script to be executed. It's okay if the chmod command gives an error message. In that case you can do this instead:
$ bash ./KVStoreTester.sh
First, compile your project:
$ make clean
$ make
Then use one of these invocations:
$ ./Application ./testcases/create.conf
$ ./Application ./testcases/delete.conf
$ ./Application ./testcases/read.conf
$ ./Application ./testcases/update.conf
You may need to do make clean && make in between tests to make sure you have a clean run.