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This page uses 2 VMs in China Mobile lab as an example to demonstrate how to setup a development environment. 

We have 2 VMs:

datalake01: 172.30.1.74
datalake02: 172.30.1.75

  1. Setup host names on both VMs and your local PC
    On both VMs and your local PC, sudo vi /etc/hosts, add these lines: (In windows, the file is C:\Windows\System32\drivers\etc\hosts.)

    172.30.1.74 message-router-zookeeper message-router-kafka 
    172.30.1.74 
    dl_druid dl_superset
    172.30.1.75 dl_es dl_couchbase


  2. Install JDK 8 and Docker on both VMs and local
    sudo apt install openjdk-8-jdk-headless
    For Docker, I install it on a Linux VM running in my local Windows.

  3. Setup ONAP development environment
    (ref Setting Up Your Development Environment)
    On your local PC,

    cd ~/.m2 (On Windows, it is C:\Users\your_name\.m2)
    mv settings.xml settings.xml-old
    wget https://raw.githubusercontent.com/onap/oparent/master/settings.xml

  4. Check out source code

    From China Mobile gitlab

    Check out DataLake source code from http://172.30.3.87/SOTN/datalake.git to ~/git/onap/dcaegen2/services2 or C:\git\onap\dcaegen2\services2 on Windows. If you don't have access, please let me know.

    From ONAP gerrit (After seed code is checked in, see https://gerrit.onap.org/r/#/c/79055/)
    Check out DataLake source code from https://gerrit.onap.org/r/#/admin/projects/dcaegen2/services to C:\git\onap\dcaegen2\services2 or ~/git/onap/dcaegen2/services2. Currently DataLake feeder is hosted in ONAP repo as a DCAE component handler.

  5. Setup Kafka in datalake01
    (ref https://kafka.apache.org/quickstart)
    This and the following 2 steps describe setting up and using your own Kafka for development and testing. For using ONAP DMaaP, see step "Use DMaaP as data source".
    In datalake01,

    mkdir ~/kafka
    cd ~/kafka
    wget https://www-eu.apache.org/dist/kafka/2.0.0/kafka_2.11-2.0.0.tgz
    tar -xzf kafka_2.11-2.0.0.tgz
    cd ~/kafka/kafka_2.11-2.0.0

    sudo vi config/server.properties 
    add this line:

    listeners=PLAINTEXT://172.30.1.74:9092

    To start Zookeeper and Kafka:
    nohup bin/zookeeper-server-start.sh config/zookeeper.properties > zk.log &
    nohup bin/kafka-server-start.sh config/server.properties > kf.log &

    Btw, here are commands to stop them:
    bin/zookeeper-server-stop.sh
    bin/kafka-server-stop.sh


  6. Create test Kafka topics 
    In datalake01

    cd ~/kafka/kafka_2.11-2.0.0

    ./bin/kafka-topics.sh --create --zookeeper message-router-zookeeper:2181 --replication-factor 1 --partitions 1 --topic AAI-EVENT
    ./bin/kafka-topics.sh --create --zookeeper message-router-zookeeper:2181 --replication-factor 1 --partitions 1 --topic unauthenticated.DCAE_CL_OUTPUT
    ./bin/kafka-topics.sh --create --zookeeper message-router-zookeeper:2181 --replication-factor 1 --partitions 1 --topic unauthenticated.SEC_FAULT_OUTPUT
    ./bin/kafka-topics.sh --create --zookeeper message-router-zookeeper:2181 --replication-factor 1 --partitions 1 --topic msgrtr.apinode.metrics.dmaap

    In case you want to reset the topics, here are the scripts to delete them:

    ./bin/kafka-topics.sh --zookeeper message-router-zookeeper:2181 --delete --topic AAI-EVENT
    ./bin/kafka-topics.sh --zookeeper message-router-zookeeper:2181 --delete --topic unauthenticated.DCAE_CL_OUTPUT
    ./bin/kafka-topics.sh --zookeeper message-router-zookeeper:2181 --delete --topic unauthenticated.SEC_FAULT_OUTPUT
    ./bin/kafka-topics.sh --zookeeper message-router-zookeeper:2181 --delete --topic msgrtr.apinode.metrics.dmaap

  7. Load test data to Kafka
    The test data files are checked out from source depot in previous step "Check out source code".
    In datalake01

    cd ~/kafka/kafka_2.11-2.0.0

    ./bin/kafka-console-producer.sh --broker-list message-router-kafka:9092 --topic AAI-EVENT < ~/git/onap/dcaegen2/services2/components/datalake-handler/feeder/src/main/resources/druid/AAI-EVENT-100.json
    ./bin/kafka-console-producer.sh --broker-list message-router-kafka:9092 --topic unauthenticated.DCAE_CL_OUTPUT < ~/git/onap/dcaegen2/services2/components/datalake-handler/feeder/src/main/resources/druid/DCAE_CL_OUTPUT-100.json
    ./bin/kafka-console-producer.sh --broker-list message-router-kafka:9092 --topic unauthenticated.SEC_FAULT_OUTPUT < ~/git/onap/dcaegen2/services2/components/datalake-handler/feeder/src/main/resources/druid/SEC_FAULT_OUTPUT-100.json
    ./bin/kafka-console-producer.sh --broker-list message-router-kafka:9092 --topic msgrtr.apinode.metrics.dmaap < ~/git/onap/dcaegen2/services2/components/datalake-handler/feeder/src/main/resources/druid/msgrtr.apinode.metrics.dmaap-100.json


    To check if the data is successfully loaded, one can read the data: 

    bin/kafka-console-consumer.sh --bootstrap-server message-router-kafka:9092 --topic AAI-EVENT --from-beginning
    bin/kafka-console-consumer.sh --bootstrap-server message-router-kafka:9092 --topic unauthenticated.DCAE_CL_OUTPUT --from-beginning
    bin/kafka-console-consumer.sh --bootstrap-server message-router-kafka:9092 --topic unauthenticated.SEC_FAULT_OUTPUT --from-beginning
    bin/kafka-console-consumer.sh --bootstrap-server message-router-kafka:9092 --topic msgrtr.apinode.metrics.dmaap --from-beginning

  8. Setup Couchbase in datalake02 
    In datalake02,
    • Start docker
      sudo docker pull couchbase/server-sandbox:6.0.0
      sudo docker run -d --name couchbase -p  8091-8094:8091-8094  -p 11210:11210 couchbase/server-sandbox:6.0.0
    • Create users and buckets

      Access http://dl_couchbase:8091/ , use login: "Administrator/password". 

      Create bucket "dl", with memory quota 100MB.
      Create user dl/dl1234 , with “Application access” to bucket "dl".

      Create bucket "dmaap", with memory quota 100MB.
      Create user dmaap/dmaap1234, with “Application Access” and "Views Admin" to bucket "dmaap".

    • Create a document for default topic in bucket dl
      _DL_DEFAULT_
      {
      "enabled": true,
      "saveRaw": false,
      "dataFormat": "JSON",
      "ttl": 1000,
      "supportElasticsearch":true,
      "supportCouchbase":true
      }

    • Disable some topics
      To disable topic '__consumer_offsets', create this document in bucket dl:
      __consumer_offsets
      {
      "enabled": false
      }

  9. Setup ElasticSearch & Kibana in datalake02 
    (ref https://docs.swiftybeaver.com/article/33-install-elasticsearch-kibana-via-docker)
    In datalake02,

    sudo docker pull docker.elastic.co/elasticsearch/elasticsearch:6.6.1
    sudo docker run -d --rm -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" --name elastic docker.elastic.co/elasticsearch/elasticsearch:6.6.1
    sudo docker pull docker.elastic.co/kibana/kibana:6.6.1
    sudo docker run -d --rm --link elastic:dl_es -e "ELASTICSEARCH_URL=http://dl_es:9200" -p 5601:5601 --name kibana docker.elastic.co/kibana/kibana:6.6.1

  10. Create test Indices in ElasticSearch 

    Indices should be auto created by Feeder.
    To access Kibana: http://dl_es:5601/ .
    In case you want to reset the Indices, here are the scripts to delete them:

    curl -X DELETE "dl_es:9200/aai-event?pretty"

    curl -X DELETE "dl_es:9200/unauthenticated.dcae_cl_output?pretty"

    curl -X DELETE "dl_es:9200/unauthenticated.sec_fault_output?pretty"

    curl -X DELETE "dl_es:9200/msgrtr.apinode.metrics.dmaap?pretty"


  11. Run DataLake feeder in Eclipse

    The feeder is a Spring boot application. The entry point is org.onap.datalake.feeder.Application. After started, the app reads the topic list from Zookeeper, and starts pulling data from these Kafka topics, and insert the data to Couchbase and Elasticsearch. 

  12. Create Docker image for deployment
    To create Docker image in your local development environment, it is required to install Docker in local.
    cd ~/git/onap/dcaegen2/services2/components/datalake-handler/feeder
    mvn clean  package (or mvn clean  package -DskipTests)
    sudo docker build -t  moguobiao/datalake-feeder -f src/assembly/Dockerfile .  (You may want to replace 'moguobiao' with your name)

    Push docker image to dockerhub

    sudo docker login -u  moguobiao -p password
    sudo docker push moguobiao/datalake-feeder 

  13. Deploy Docker image

    In datalake01,
  14. sudo docker pull moguobiao/datalake-feeder
    sudo docker run --rm -p 1680:1680 --name dl_feeder --add-host=message-router-kafka:172.30.1.74 --add-host=message-router-zookeeper:172.30.1.74 --add-host=dl_couchbase:172.30.1.75 --add-host=dl_es:172.30.1.75 moguobiao/datalake-feeder

  15. Use DMaaP as data source

    Add datalake01 to Kubernetes cluster
    ONAP at China Mobile Lab is deployed as a Kubernetes cluster. For DL Feeder to connect to DMaaP’s Kafka and Zookeeper, we need to add VM datalake01 to the cluster. This is done by installing Rancher containers on the VM.

    Find Zookeeper and Kafka hosts
    kubectl -n onap get pod -o wide | grep dev-dmaap-message-router
    In our instance, it returns
    dev-dmaap-message-router-58cb7f9644-v5qvq 1/1 Running 0 53d 10.42.97.241 mr01-node3 <none>
    dev-dmaap-message-router-kafka-6685877dc4-xkvrk 1/1 Running 0 53d 10.42.243.183 mr01-node2 <none>
    dev-dmaap-message-router-zookeeper-bc76c44f4-6sfbx 1/1 Running 0 53d 10.42.13.227 mr01-node1 <none>

    So we update /etc/hosts on datalake01 with
    10.42.13.227 message-router-zookeeper
    10.42.243.183 message-router-kafka

    Run Feeder
    We are not able to run the docker container like in step “Deploy Docker image”, since even though VM datalake01 is within the Kubernetes cluster, the Feeder container is not. One way to solve it is to deploy the image into the Kubernetes cluster, which is illustrated in step “Deploy Docker image to Kubernetes cluster”. There is a simple way to run the Feeder for development and testing:

    • Copy jar file C:\git\onap\dcaegen2\services2\components\datalake-handler\feeder\target\feeder-1.0.0-SNAPSHOT.jar to datalake01. This jar file was created in step “Create Docker image for deployment”, when running the Maven command. 

    • Then run
      java -jar feeder-1.0.0-SNAPSHOT.jar

  1. Deploy Docker image to Kubernetes cluster

  2. More to come on Druid, Superset etc. ... 

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