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commit 67bb58a777fd4b6651740176c212858f5d2398ae Author: Andrea Cosentino <anco...@gmail.com> AuthorDate: Wed Sep 23 07:25:52 2020 +0200 AWS2 Lambda Sink Example: added steps for adding AWS creds secret --- aws2-lambda/aws2-lambda-sink/README.adoc | 226 ++++++++++++++++++++++++++++++- 1 file changed, 220 insertions(+), 6 deletions(-) diff --git a/aws2-lambda/aws2-lambda-sink/README.adoc b/aws2-lambda/aws2-lambda-sink/README.adoc index 4a3c462..eb3fb26 100644 --- a/aws2-lambda/aws2-lambda-sink/README.adoc +++ b/aws2-lambda/aws2-lambda-sink/README.adoc @@ -1,15 +1,15 @@ # Camel-Kafka-connector AWS2 Lambda Sink -## Introduction - This is an example for Camel-Kafka-connector AWS2-Lambda Sink -## What is needed +## Standalone + +### What is needed - An AWS Lambda function - The following project here: https://github.com/oscerd/lambda-ckc -## Running Kafka +### Running Kafka ``` $KAFKA_HOME/bin/zookeeper-server-start.sh config/zookeeper.properties @@ -17,7 +17,7 @@ $KAFKA_HOME/bin/kafka-server-start.sh config/server.properties $KAFKA_HOME/bin/kafka-topics.sh --create --bootstrap-server localhost:9092 --replication-factor 1 --partitions 1 --topic mytopic ``` -## Setting up the needed bits and running the example +### Setting up the needed bits and running the example You'll need to setup the plugin.path property in your kafka @@ -33,7 +33,7 @@ In this example we'll use `/home/oscerd/connectors/` > unzip camel-aws2-sns-kafka-connector-0.5.0-package.zip ``` -## Deploying the AWS Lambda function +### Deploying the AWS Lambda function ``` > git clone g...@github.com:oscerd/lambda-ckc.git @@ -91,3 +91,217 @@ In the AWS console, in the CloudWatch Log insights section under the monitoring 2020-08-07T12:32:12.325+02:00 REPORT RequestId: 666d2257-1a22-406e-b112-2384ceac23a3 Duration: 43.33 ms Billed Duration: 100 ms Memory Size: 512 MB Max Memory Used: 75 MB Init Duration: 293.52 ms ``` +## Openshift + +### What is needed + +- An AWS Lambda function +- The following project here: https://github.com/oscerd/lambda-ckc +- An Openshift instance + +### Running Kafka using Strimzi Operator + +First we install the Strimzi operator and use it to deploy the Kafka broker and Kafka Connect into our OpenShift project. +We need to create security objects as part of installation so it is necessary to switch to admin user. +If you use Minishift, you can do it with the following command: + +[source,bash,options="nowrap"] +---- +oc login -u system:admin +---- + +We will use OpenShift project `myproject`. +If it doesn't exist yet, you can create it using following command: + +[source,bash,options="nowrap"] +---- +oc new-project myproject +---- + +If the project already exists, you can switch to it with: + +[source,bash,options="nowrap"] +---- +oc project myproject +---- + +We can now install the Strimzi operator into this project: + +[source,bash,options="nowrap",subs="attributes"] +---- +oc apply -f https://github.com/strimzi/strimzi-kafka-operator/releases/download/0.19.0/strimzi-cluster-operator-0.19.0.yaml +---- + +Next we will deploy a Kafka broker cluster and a Kafka Connect cluster and then create a Kafka Connect image with the Debezium connectors installed: + +[source,bash,options="nowrap",subs="attributes"] +---- +# Deploy a single node Kafka broker +oc apply -f https://github.com/strimzi/strimzi-kafka-operator/raw/0.19.0/examples/kafka/kafka-persistent-single.yaml + +# Deploy a single instance of Kafka Connect with no plug-in installed +oc apply -f https://github.com/strimzi/strimzi-kafka-operator/raw/0.19.0/examples/connect/kafka-connect-s2i-single-node-kafka.yaml +---- + +Optionally enable the possibility to instantiate Kafka Connectors through specific custom resource: +[source,bash,options="nowrap"] +---- +oc annotate kafkaconnects2is my-connect-cluster strimzi.io/use-connector-resources=true +---- + +### Add Camel Kafka connector binaries + +Strimzi uses `Source2Image` builds to allow users to add their own connectors to the existing Strimzi Docker images. +We now need to build the connectors and add them to the image, +if you have built the whole project (`mvn clean package`) decompress the connectors you need in a folder (i.e. like `my-connectors/`) +so that each one is in its own subfolder +(alternatively you can download the latest officially released and packaged connectors from maven): + +So we need to do something like this: + +``` +> cd my-connectors/ +> wget https://repo1.maven.org/maven2/org/apache/camel/kafkaconnector/camel-aws2-lambda-kafka-connector/0.5.0/camel-aws2-lambda-kafka-connector-0.5.0-package.zip +> unzip camel-aws2-lambda-kafka-connector-0.5.0-package.zip +``` + +Now we can start the build + +[source,bash,options="nowrap"] +---- +oc start-build my-connect-cluster-connect --from-dir=./my-connectors/ --follow +---- + +We should now wait for the rollout of the new image to finish and the replica set with the new connector to become ready. +Once it is done, we can check that the connectors are available in our Kafka Connect cluster. +Strimzi is running Kafka Connect in a distributed mode. + +To check the available connector plugins, you can run the following command: + +[source,bash,options="nowrap"] +---- +oc exec -i `oc get pods --field-selector status.phase=Running -l strimzi.io/name=my-connect-cluster-connect -o=jsonpath='{.items[0].metadata.name}'` -- curl -s http://my-connect-cluster-connect-api:8083/connector-plugins +---- + +You should see something like this: + +[source,json,options="nowrap"] +---- +[{"class":"org.apache.camel.kafkaconnector.CamelSinkConnector","type":"sink","version":"0.5.0"},{"class":"org.apache.camel.kafkaconnector.CamelSourceConnector","type":"source","version":"0.5.0"},{"class":"org.apache.camel.kafkaconnector.aws2lambda.CamelAws2lambdaSinkConnector","type":"sink","version":"0.5.0"},{"class":"org.apache.kafka.connect.file.FileStreamSinkConnector","type":"sink","version":"2.5.0"},{"class":"org.apache.kafka.connect.file.FileStreamSourceConnector","type":"source", [...] +---- + +### Set the AWS credential as secret (optional) + +You can also set the aws creds option as secret, you'll need to edit the file config/aws-s3-cred.properties with the correct credentials and then execute the following command + +[source,bash,options="nowrap"] +---- +oc create secret generic aws2-lambda --from-file=config/openshift/aws2-lambda-cred.properties +---- + +Now we need to edit KafkaConnectS2I custom resource to reference the secret. For example: + +[source,bash,options="nowrap"] +---- +spec: + # ... + config: + config.providers: file + config.providers.file.class: org.apache.kafka.common.config.provider.FileConfigProvider + #... + externalConfiguration: + volumes: + - name: aws-credentials + secret: + secretName: aws2-lambda +---- + +In this way the secret aws2-lambda will be mounted as volume with path /opt/kafka/external-configuration/aws-credentials/ + +### Create connector instance + +Now we can create some instance of the AWS2 Lambda sink connector: + +[source,bash,options="nowrap"] +---- +oc exec -i `oc get pods --field-selector status.phase=Running -l strimzi.io/name=my-connect-cluster-connect -o=jsonpath='{.items[0].metadata.name}'` -- curl -X POST \ + -H "Accept:application/json" \ + -H "Content-Type:application/json" \ + http://my-connect-cluster-connect-api:8083/connectors -d @- <<'EOF' +{ + "name": "lambda-sink-connector", + "config": { + "connector.class": "org.apache.camel.kafkaconnector.aws2lambda.CamelAws2lambdaSinkConnector", + "tasks.max": "1", + "key.converter": "org.apache.kafka.connect.storage.StringConverter", + "value.converter": "org.apache.kafka.connect.converters.ByteArrayConverter", + "topics": "lambda-topic", + "camel.sink.path.function": "hello-ckc", + "camel.sink.endpoint.operation": "invokeFunction", + "camel.component.aws2-s3.accessKey": "xxx", + "camel.component.aws2-s3.secretKey": "xxx", + "camel.component.aws2-s3.region": "xxx" + } +} +EOF +---- + +Altenatively, if have enabled `use-connector-resources`, you can create the connector instance by creating a specific custom resource: + +[source,bash,options="nowrap"] +---- +oc apply -f - << EOF +apiVersion: kafka.strimzi.io/v1alpha1 +kind: KafkaConnector +metadata: + name: lambda-sink-connector + namespace: myproject + labels: + strimzi.io/cluster: my-connect-cluster +spec: + class: org.apache.camel.kafkaconnector.aws2lambda.CamelAws2lambdaSinkConnector + tasksMax: 1 + config: + key.converter: org.apache.kafka.connect.storage.StringConverter + value.converter: org.apache.kafka.connect.converters.ByteArrayConverter + topics: lambda-topic + camel.sink.path.function: hello-ckc + camel.sink.endpoint.operation: invokeFunction + camel.component.aws2-s3.accessKey: xxxx + camel.component.aws2-s3.secretKey: yyyy + camel.component.aws2-s3.region: region +EOF +---- + +If you followed the optional step for secret credentials you can run the following command: + +[source,bash,options="nowrap"] +---- +oc apply -f config/openshift/aws2-lambda-sink.yaml +---- + +You can check the status of the connector using + +[source,bash,options="nowrap"] +---- +oc exec -i `oc get pods --field-selector status.phase=Running -l strimzi.io/name=my-connect-cluster-connect -o=jsonpath='{.items[0].metadata.name}'` -- curl -s http://my-connect-cluster-connect-api:8083/connectors/lambda-sink-connector/status +---- + +Just connect to your AWS Console and check the content of camel-kafka-connector bucket. + +On a different terminal run the kafka-producer and send messages to your Kafka Broker. + +``` +oc exec -i -c kafka my-cluster-kafka-0 -- bin/kafka-console-producer.sh --bootstrap-server localhost:9092 --topic lambda-topic +Kafka message sent! +``` + +In the AWS console, in the CloudWatch Log insights section under the monitoring tabs, you should get the information about this invokation and you should see in the logs + +``` +2020-08-07T12:32:12.282+02:00 START RequestId: 666d2257-1a22-406e-b112-2384ceac23a3 Version: $LATEST +2020-08-07T12:32:12.321+02:00 Event received: Kafka message sent! +2020-08-07T12:32:12.325+02:00 END RequestId: 666d2257-1a22-406e-b112-2384ceac23a3 +2020-08-07T12:32:12.325+02:00 REPORT RequestId: 666d2257-1a22-406e-b112-2384ceac23a3 Duration: 43.33 ms Billed Duration: 100 ms Memory Size: 512 MB Max Memory Used: 75 MB Init Duration: 293.52 ms +``` +