built with concourse
OVERVIEW
This data-crunch-engine
is,
- Written in go
- Utilizes goroutines (concurrency)
- Uses protobuf over NATS for messaging
- Built to a lightweight Docker Image
This illustration shows a high level view,
Notice that you may have multiple data-crunch-engine
s running.
And a more detailed view of the data-crunch engine,
PREREQUISITES
You will need the following go packages,
go get -u -v github.com/sirupsen/logrus
go get -u -v github.com/cweill/gotests/...
SOFTWARE STACK
- DEVELOPMENT
- go
- gotests
- OPERATIONS
- concourse/fly (optional)
- docker
- SERVICES
Where,
- GUI golang net/http package and ReactJS
- Routing & REST API framework golang gorilla/mux package
- Backend golang
- Database N/A
PROTOCOL COMPILE FOR GO
The protocol buffer human readable file is located here
The two interfaces have been defined as,
// Check your error
func checkErr(err error) {
if err != nil {
log.Fatal("ERROR:", err)
}
}
message MyData {
int64 ID = 1;
int64 Data = 2;
string Meta = 3;
}
message MyResult {
int64 ID = 1;
int64 Data = 2;
string Meta = 3;
google.protobuf.Timestamp DTimeStamp = 4;
int64 RData = 5;
google.protobuf.Timestamp ProcessTime = 6;
}
This file has already been compiled, but you may recompile it using the shell script.
RUN
First, start your NATS server,
nats-server -DV -p 4222 -a 127.0.0.1
In separate terminals start the data-engine
, the data-crunch-engine
and the results-engine
respectively,
go run data-engine.go messages.pb.go
go run data-crunch-engine.go messages.pb.go
go run results-engine.go messages.pb.go
Currently, I have a placeholder as follows,
To run.sh,
cd data-crunch-engine-code
go run main.go
As a placeholder, every 2 seconds it will print,
INFO[0000] Let's Start this!
Hello everyone, count is: 1
Hello everyone, count is: 2
Hello everyone, count is: 3
etc...
CREATE BINARY
To create-binary.sh,
cd data-crunch-engine-code/bin
go build -o data-crunch-engine ../main.go
./data-crunch-engine
This binary will not be used during a docker build since it creates it’s own.
STEP 1 - TEST
To create unit _test
files,
cd data-crunch-engine-code
gotests -w -all main.go
To run unit-tests.sh,
go test -cover ./... | tee test/test_coverage.txt
cat test/test_coverage.txt
STEP 2 - BUILD (DOCKER IMAGE VIA DOCKERFILE)
To build.sh with a Dockerfile,
cd data-crunch-engine-code
docker build -f build/Dockerfile -t jeffdecola/data-crunch-engine .
You can check and test this docker image,
docker images jeffdecola/data-crunch-engine:latest
docker run --name data-crunch-engine -dit jeffdecola/data-crunch-engine
docker exec -i -t data-crunch-engine /bin/bash
docker logs data-crunch-engine
docker rm -f data-crunch-engine
In stage 1, rather than copy a binary into a docker image (because that can cause issues), the Dockerfile will build the binary in the docker image,
FROM golang:alpine AS builder
RUN go get -d -v
RUN go build -o /go/bin/data-crunch-engine main.go
In stage 2, the Dockerfile will copy the binary created in
stage 1 and place into a smaller docker base image based
on alpine
, which is around 13MB.
STEP 3 - PUSH (TO DOCKERHUB)
You must be logged in to DockerHub,
docker login
To push.sh,
docker push jeffdecola/data-crunch-engine
Check the data-crunch-engine docker image at DockerHub.
STEP 4 - DEPLOY (TO DOCKER)
To deploy.sh,
cd data-crunch-engine-code
docker run --name data-crunch-engine -dit jeffdecola/data-crunch-engine
docker exec -i -t data-crunch-engine /bin/bash
docker logs data-crunch-engine
docker rm -f data-crunch-engine
CONTINUOUS INTEGRATION & DEPLOYMENT
Refer to ci-README.md on how I automated the above steps.