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Kayak is travel search engine which gathers all data from different vendors, process it and display to users. Displayed various analytics graphs like User tracking graph, revenue graph to admin. It is a distributed service oriented application which is implemented through Kafka messaging service to make it more scalable and reliable. Used Redis …

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adityaparmar03/Kayak

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Kayak

Project Report: https://github.com/adityaparmar03/Kayak/blob/master/Kayak_Project_Report.pdf

Steps for installing the project

Checkout this repo, install dependencies, then start the gulp process with the following:

$ git clone https://github.com/MeenakshiParyani/Kayak.git
$ cd react-front-end
$ npm install
$ npm start
$ cd kafka-front-end
$ npm install
$ npm start
$ cd kafka-back-end
$ npm install
$ npm start
$ Access the Kayak Portal on http://localhost:3000

Redis Server config

MAC OS Steps

# Install the Redis Server
$ brew install redis
# Start the Redis Server
$ redis-server       

Linux OS Steps

# Install the Redis Server
$ wget http://download.redis.io/redis-stable.tar.gz
$ tar xvzf redis-stable.tar.gz
$ cd redis-stable
# Start the Redis Server
$ redis-server
$ make

Redis CLI Verification

# Start the Redis CLI
$ redis-cli
# To see the redis cached key and value pair
$ KEYS *

To enable caching on any query, the query should be in following format

query = User.find({});
query.where("id", req.session.userId);
query.lean() # Lean is what instructs Redis to cache the query results
query.exec(function(err, userInfo){
    // Process the Query Results
});

List of Kafka Topics to be created

login getapi MmtCars CleartripCars AlamoCars MmtHotels CleartripHotels TripAdvisorHotels MmtFlights CleartripFlights ExpediaFlights BookFlight BookHotel BookCar

Use below command to create all the required Topics

kafka-topics --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 -topic <<topic_name>>

Verify Topic Creation

kafka-topics --list --zookeeper localhost:2181

About

Kayak is travel search engine which gathers all data from different vendors, process it and display to users. Displayed various analytics graphs like User tracking graph, revenue graph to admin. It is a distributed service oriented application which is implemented through Kafka messaging service to make it more scalable and reliable. Used Redis …

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