alokrkmv / lab_3_multitreader_trouble Goto Github PK

Following are the steps to setup database using docker:

1. Pull the official mongo docker image from docker hub using docker pull mongo

2. Make sure that any old mongo container is removed if not then stop any running container using docker stop <container_id> container_id can be fetched using docker ps. Remove the stopped container using docker rm <container_id>

3. Now run docker run -d -p 27017:27017 --name mongo_container mongo to start the docker container on port 27017.

docker run -d -p 27017:27017 --name mongo_container mongo

1. It is advisable to create and activate a virtualenv before starting the project. However it is not a requirement to run the project.

2. The current project has three different flavours: a. mutlitreaders without cache: src/multiple_traders b. mutlitreaders with cache: src/cache_sync c. two treaders with fault tolerance: src/two_traders To run any of the flavours cd into the appropriate directory and follow steps 3 and 4

3. The application can be started by running a single bash script run.sh inside src folder once database setup is done.

4. Make sure that you current directory is src and then run bash run.sh host_name <number_of_peers> <number_of_traders>

5. Hostname is a mandatory parameter and needs to be passed as a command line argument for the program to start.

6. Number of peers is optional paramter if passed the network will generate a network with equivalent number of peers otherwise it will default to six peer network based on the default config provided in config_file.

7. A sample run command might look like bash run.sh localhost 10 3

8. In first case a 10 peer network will be created whereas in the second a network of 6 peers will be created.

9. The output of the program after running the network for a few minutes is present in src/cache_sync/tmp/output/trader_i.txt for traders and src/cache_sync/tmp/output/database.txt for database

We have used matplotlib to show a graphical representation of the network. Plotting of graph might not work iff a GUI backend is not present. This issue can be resolved in two ways.

1. pass show_bazar argument as false when calling create_bazar function from main. This will prevent graph_generator to be invoked and hence resolving the error. However in this way the graphical representation of the network won't pe drawn.

2. Another way is to install a GUI-backend for matplotlib ````python

sudo apt-get install python3-tk````

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