Run Flink application on AWS EC2.
Prepare:
- Update
.env.example
to match your AWS network environment and source with. .env.example
. - Use packer to build AMI images (see here).
Run:
FCS_API_AUTH_TOKEN=secret npx flink-compute-service
Versioning is done at the API level (rather than at the resource or field level).
If you use any alpha API versions, check in case the API did change in incompatible ways prior to upgrade.
List available images.
Request version 1.17:
/api/v1alpha1/images?architecture=arm64&name=flink-1.17.*
Response:
{
"images": [
{
"id": "ami-0178e4bfac4d5a6c6",
"name": "flink-1.17.2-java-11-debian-12-arm64-20240211-0913",
"createTime": "2024-02-11T09:14:07.000Z",
"architecture": "arm64"
}
]
}
List clusters.
Response:
{
"clusters": [
{
"id": "b51c5782b0"
}
]
}
List cluster instances.
Response:
{
"instances": [
{
"id": "i-03780b47356565a90",
"role": "SECONDARY",
"imageId": "ami-0072c08c2b3623443",
"instanceType": "t4g.small",
"launchTime": "2024-02-11T12:50:33.000Z",
"privateIpAddress": "172.31.2.146",
"state": "RUNNING",
"architecture": "arm64"
},
{
"id": "i-03527597a634fa201",
"role": "PRIMARY",
"imageId": "ami-0072c08c2b3623443",
"instanceType": "t4g.small",
"launchTime": "2024-02-11T12:50:32.000Z",
"privateIpAddress": "172.31.14.191",
"state": "RUNNING",
"architecture": "arm64"
}
]
}
Create a cluster.
NOTE: use S3 presigned URLs for private buckets.
aws s3 presign s3://<bucket>/WordCount.jar
Request all in one:
{
"imageFilter": {
"architecture": "arm64",
"name": "flink-1.17.*-debian-*"
},
"entrypoint": "org.apache.flink.streaming.examples.wordcount.WordCount",
"sourceUrl": "https://...s3.eu-central-1.amazonaws.com/WordCount.jar?...",
"lifetimeSeconds": 90,
"jobManager": {
"instanceType": "t4g.small",
"marketType": "SPOT",
"startTaskManager": true,
"config": {
"parallelism.default": 2,
"taskmanager.numberOfTaskSlots": 2
}
},
"tags": {
"team": "eagle"
}
}
Request with source on S3 bucket (use instanceProfile to specify EC2 instance profile that has permission to download from S3 bucket):
{
"imageFilter": {
"architecture": "arm64",
"name": "flink-1.17.*-debian-*"
},
"entrypoint": "org.apache.flink.streaming.examples.wordcount.WordCount",
"sourceUrl": "s3://.../WordCount.jar",
"lifetimeSeconds": 90,
"jobManager": {
"instanceType": "t4g.small",
"instanceProfile": {
"name": "..."
},
"startTaskManager": true
}
}
Request separate Flink Task Manager(s):
{
"imageFilter": {
"architecture": "arm64",
"name": "flink-1.18.*-debian-*"
},
"entrypoint": "org.apache.flink.streaming.examples.windowing.TopSpeedWindowing",
"sourceUrl": "https://...s3.eu-central-1.amazonaws.com/TopSpeedWindowing.jar?...",
"lifetimeSeconds": 90,
"jobManager": {
"instanceType": "t4g.micro",
"config": {
"parallelism.default": 2
}
},
"taskManager": {
"instanceType": "t4g.small",
"marketType": "SPOT",
"blockDeviceMappings": [
{
"deviceName": "/dev/xvda",
"ebs": {
"volumeSize": 20
}
}
],
"count": 1,
"config": {
"taskmanager.numberOfTaskSlots": 2
}
},
"tags": {
"team": "falkon"
}
}
Response:
{
"id": "85d455dbe2"
}
Prepare lambda archive (file flink-compute-service-lambda.zip
):
sh misc/scripts/pack-lambda.sh lambda
See terraform and environments.
Prepare lambda layer (file flink-compute-service-layer.zip
):
sh misc/scripts/pack-lambda.sh layer
Using in ES module (file index.mjs
):
export {handler} from 'flink-compute-service/lambda';