Real time streaming as a microservice

[Mich Talebzadeh]

Hi,

I have created the Kafka messaging architecture as a microservice that feeds both Spark streaming and Flink. Spark streaming uses micro-batches meaning "collect and process data" and flink as an event driven architecture (a stateful application that reacts to incoming events by triggering computations etc.

According to Wikipedia, A Microservice is a  technique that structures an application as a collection of loosely coupled services. In a microservices architecture, services are fine-grained and the protocols are lightweight. 

Ok for streaming data among other things I have to create and configure topic (or topics), design a robust zookeeper ensemble and create Kafka brokers with scalability and resiliency. Then I can offer the streaming as a microservice to subscribers among them Spark and Flink. I can upgrade this microservice component in isolation without impacting either Spark or Flink.

The problem I face here is the dependency on Flink etc on the jar files specific for the version of Kafka deployed. For example kafka_2.12-1.1.0 is built on Scala 2.12 and Kafka version 1.1.0. To make this work in Flink 1.5 application, I need  to use the correct dependency in sbt build. For example:

libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-0.11" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-base" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
libraryDependencies += "org.apache.flink" %% "flink-streaming-scala" % "1.5.0"
libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"

and the Scala code needs to change:

import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer011

…

    val stream = env
                 .addSource(new FlinkKafkaConsumer011[String]("md", new SimpleStringSchema(), properties))

So in summary some changes need to be made to Flink to be able to interact with the new version of Kafka. And more importantly if one can use an abstract notion of microservice here?

[Jörn Franke]

That they are loosely coupled does not mean they are independent. For instance, you would not be able to replace Kafka with zeromq in your scenario. Unfortunately also Kafka sometimes needs to introduce breaking changes and the dependent application needs to upgrade.
You will not be able to avoid these scenarios in the future (this is only possible if micro services don’t communicate with each other or if they would never need to change their communication protocol - pretty impossible ). However there are ways of course to reduce it, eg kafka could reduce the number of breaking changes or you can develop a very lightweight microservice that is very easy to change and that only deals with the broker integration and your application etc.

> On 8. Jul 2018, at 10:59, Mich Talebzadeh <[hidden email]> wrote:
>
> Hi,
>
> I have created the Kafka messaging architecture as a microservice that
> feeds both Spark streaming and Flink. Spark streaming uses micro-batches
> meaning "collect and process data" and flink as an event driven
> architecture (a stateful application that reacts to incoming events by
> triggering computations etc.
>
> According to Wikipedia, A Microservice is a  technique that structures an
> application as a collection of loosely coupled services. In a microservices
> architecture, services are fine-grained and the protocols are lightweight.
>
> Ok for streaming data among other things I have to create and configure
> topic (or topics), design a robust zookeeper ensemble and create Kafka
> brokers with scalability and resiliency. Then I can offer the streaming as
> a microservice to subscribers among them Spark and Flink. I can upgrade
> this microservice component in isolation without impacting either Spark or
> Flink.
>
> The problem I face here is the dependency on Flink etc on the jar files
> specific for the version of Kafka deployed. For example kafka_2.12-1.1.0 is
> built on Scala 2.12 and Kafka version 1.1.0. To make this work in Flink 1.5
> application, I need  to use the correct dependency in sbt build. For
> example:
> libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-0.11" %
> "1.5.0"
> libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-base" %
> "1.5.0"
> libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
> libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
> libraryDependencies += "org.apache.flink" %% "flink-streaming-scala" %
> "1.5.0"
> libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"
>
> and the Scala code needs to change:
>
> import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer011
> …
>    val stream = env
>                 .addSource(new FlinkKafkaConsumer011[String]("md", new
> SimpleStringSchema(), properties))
>
> So in summary some changes need to be made to Flink to be able to interact
> with the new version of Kafka. And more importantly if one can use an
> abstract notion of microservice here?
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.

[Mich Talebzadeh]

Thanks Jorn.

So I gather as you correctly suggested, microservices do provide value in terms of modularisation. However, there will always "inevitably" be scenarios where the receiving artefact say Flink needs communication protocol changes?

thanks

On Sun, 8 Jul 2018 at 10:25, Jörn Franke <[hidden email]> wrote:

That they are loosely coupled does not mean they are independent. For instance, you would not be able to replace Kafka with zeromq in your scenario. Unfortunately also Kafka sometimes needs to introduce breaking changes and the dependent application needs to upgrade.
You will not be able to avoid these scenarios in the future (this is only possible if micro services don’t communicate with each other or if they would never need to change their communication protocol - pretty impossible ). However there are ways of course to reduce it, eg kafka could reduce the number of breaking changes or you can develop a very lightweight microservice that is very easy to change and that only deals with the broker integration and your application etc.

> On 8. Jul 2018, at 10:59, Mich Talebzadeh <[hidden email]> wrote:
>
> Hi,
>
> I have created the Kafka messaging architecture as a microservice that
> feeds both Spark streaming and Flink. Spark streaming uses micro-batches
> meaning "collect and process data" and flink as an event driven
> architecture (a stateful application that reacts to incoming events by
> triggering computations etc.
>
> According to Wikipedia, A Microservice is a  technique that structures an
> application as a collection of loosely coupled services. In a microservices
> architecture, services are fine-grained and the protocols are lightweight.
>
> Ok for streaming data among other things I have to create and configure
> topic (or topics), design a robust zookeeper ensemble and create Kafka
> brokers with scalability and resiliency. Then I can offer the streaming as
> a microservice to subscribers among them Spark and Flink. I can upgrade
> this microservice component in isolation without impacting either Spark or
> Flink.
>
> The problem I face here is the dependency on Flink etc on the jar files
> specific for the version of Kafka deployed. For example kafka_2.12-1.1.0 is
> built on Scala 2.12 and Kafka version 1.1.0. To make this work in Flink 1.5
> application, I need  to use the correct dependency in sbt build. For
> example:
> libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-0.11" %
> "1.5.0"
> libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-base" %
> "1.5.0"
> libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
> libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
> libraryDependencies += "org.apache.flink" %% "flink-streaming-scala" %
> "1.5.0"
> libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"
>
> and the Scala code needs to change:
>
> import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer011
> …
>    val stream = env
>                 .addSource(new FlinkKafkaConsumer011[String]("md", new
> SimpleStringSchema(), properties))
>
> So in summary some changes need to be made to Flink to be able to interact
> with the new version of Kafka. And more importantly if one can use an
> abstract notion of microservice here?
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.

[Jörn Franke]

Yes or Kafka will need it ...
As soon as your orchestrate different microservices this will happen.

> On 8. Jul 2018, at 11:33, Mich Talebzadeh <[hidden email]> wrote:
>
> Thanks Jorn.
>
> So I gather as you correctly suggested, microservices do provide value in
> terms of modularisation. However, there will always "inevitably" be
> scenarios where the receiving artefact say Flink needs communication
> protocol changes?
>
> thanks
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.
>
>
>
>
>> On Sun, 8 Jul 2018 at 10:25, Jörn Franke <[hidden email]> wrote:
>>
>> That they are loosely coupled does not mean they are independent. For
>> instance, you would not be able to replace Kafka with zeromq in your
>> scenario. Unfortunately also Kafka sometimes needs to introduce breaking
>> changes and the dependent application needs to upgrade.
>> You will not be able to avoid these scenarios in the future (this is only
>> possible if micro services don’t communicate with each other or if they
>> would never need to change their communication protocol - pretty impossible
>> ). However there are ways of course to reduce it, eg kafka could reduce the
>> number of breaking changes or you can develop a very lightweight
>> microservice that is very easy to change and that only deals with the
>> broker integration and your application etc.
>>
>>> On 8. Jul 2018, at 10:59, Mich Talebzadeh <[hidden email]>
>> wrote:
>>>
>>> Hi,
>>>
>>> I have created the Kafka messaging architecture as a microservice that
>>> feeds both Spark streaming and Flink. Spark streaming uses micro-batches
>>> meaning "collect and process data" and flink as an event driven
>>> architecture (a stateful application that reacts to incoming events by
>>> triggering computations etc.
>>>
>>> According to Wikipedia, A Microservice is a  technique that structures an
>>> application as a collection of loosely coupled services. In a
>> microservices
>>> architecture, services are fine-grained and the protocols are
>> lightweight.
>>>
>>> Ok for streaming data among other things I have to create and configure
>>> topic (or topics), design a robust zookeeper ensemble and create Kafka
>>> brokers with scalability and resiliency. Then I can offer the streaming
>> as
>>> a microservice to subscribers among them Spark and Flink. I can upgrade
>>> this microservice component in isolation without impacting either Spark
>> or
>>> Flink.
>>>
>>> The problem I face here is the dependency on Flink etc on the jar files
>>> specific for the version of Kafka deployed. For example kafka_2.12-1.1.0
>> is
>>> built on Scala 2.12 and Kafka version 1.1.0. To make this work in Flink
>> 1.5
>>> application, I need  to use the correct dependency in sbt build. For
>>> example:
>>> libraryDependencies += "org.apache.flink" %%
>> "flink-connector-kafka-0.11" %
>>> "1.5.0"
>>> libraryDependencies += "org.apache.flink" %%
>> "flink-connector-kafka-base" %
>>> "1.5.0"
>>> libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
>>> libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
>>> libraryDependencies += "org.apache.flink" %% "flink-streaming-scala" %
>>> "1.5.0"
>>> libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"
>>>
>>> and the Scala code needs to change:
>>>
>>> import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer011
>>> …
>>>   val stream = env
>>>                .addSource(new FlinkKafkaConsumer011[String]("md", new
>>> SimpleStringSchema(), properties))
>>>
>>> So in summary some changes need to be made to Flink to be able to
>> interact
>>> with the new version of Kafka. And more importantly if one can use an
>>> abstract notion of microservice here?
>>>
>>> Dr Mich Talebzadeh
>>>
>>>
>>>
>>> LinkedIn *
>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>> <
>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>> *
>>>
>>>
>>>
>>> http://talebzadehmich.wordpress.com
>>>
>>>
>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
>>> loss, damage or destruction of data or any other property which may arise
>>> from relying on this email's technical content is explicitly disclaimed.
>>> The author will in no case be liable for any monetary damages arising
>> from
>>> such loss, damage or destruction.
>>

[Mich Talebzadeh]

Hi all,

I have now managed to deploy both ZooKeeper and Kafka as microservices using docker images.

The idea came to me as I wanted to create lightweight processes for both ZooKeeper and Kafka to be used as services for Flink and Spark simultaneously.

In this design both Flink and Spark rely on streaming market data messages published through Kafka. My current design is simple one docker for Zookeeper and another for Kafka

[root@rhes75 ~]# docker ps -a
CONTAINER ID        IMAGE               COMMAND                  CREATED             STATUS                  PORTS                                            NAMES
05cf097ac139        ches/kafka          "/start.sh"              9 hours ago         Up 9 hours              0.0.0.0:7203->7203/tcp, 0.0.0.0:9092->9092/tcp   kafka
b173e455cc80        jplock/zookeeper    "/opt/zookeeper/bin/…"   10 hours ago        Up 10 hours (healthy)   2888/tcp, 0.0.0.0:2181->2181/tcp, 3888/tcp       zookeeper

Note that the docker ports are exposed to the physical host that running the containers.

A test message is simply created as follows:

${KAFKA_HOME}/bin/kafka-topics.sh --create --zookeeper rhes75:2181 --replication-factor 1 --partitions 1 --topic test

Note that rhes75 is the host that houses the dockers and port 2181 is the zookeeper port used by the zookeeper docker and mapped

The spark streaming uses speed layer in Lambda architecture to write to an Hbase table for selected market data (Hbase requires connectivity to a Zookeeper). For Hbase I specified a zookeeper instance running on another host and Hbase works fine.

Anyway I will provide further info and diagrams.

Cheers,

On Sun, 15 Jul 2018 at 08:40, Mich Talebzadeh <[hidden email]> wrote:

Thanks got it sorted.

Regards,

On Tue, 10 Jul 2018 at 09:24, Mich Talebzadeh <[hidden email]> wrote:

Thanks Rahul.

This is the outcome of 

[root@rhes75 ~]# iptables -t nat -L -n
Chain PREROUTING (policy ACCEPT)
target     prot opt source               destination
DOCKER     all  --  0.0.0.0/0            0.0.0.0/0            ADDRTYPE match dst-type LOCAL

Chain INPUT (policy ACCEPT)
target     prot opt source               destination

Chain OUTPUT (policy ACCEPT)
target     prot opt source               destination
DOCKER     all  --  0.0.0.0/0           !127.0.0.0/8          ADDRTYPE match dst-type LOCAL

Chain POSTROUTING (policy ACCEPT)
target     prot opt source               destination
MASQUERADE  all  --  172.17.0.0/16        0.0.0.0/0
MASQUERADE  all  --  172.18.0.0/16        0.0.0.0/0
RETURN     all  --  192.168.122.0/24     224.0.0.0/24
RETURN     all  --  192.168.122.0/24     255.255.255.255
MASQUERADE  tcp  --  192.168.122.0/24    !192.168.122.0/24     masq ports: 1024-65535
MASQUERADE  udp  --  192.168.122.0/24    !192.168.122.0/24     masq ports: 1024-65535
MASQUERADE  all  --  192.168.122.0/24    !192.168.122.0/24

Chain DOCKER (2 references)
target     prot opt source               destination
RETURN     all  --  0.0.0.0/0            0.0.0.0/0
RETURN     all  --  0.0.0.0/0            0.0.0.0/0

So basically I need to connect to container from another host as the link points it out.

My docker is already running.

[root@rhes75 ~]# docker ps -a
CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES
8dd84a174834        ubuntu              "bash"              19 hours ago        Up 11 hours                             dockerZooKeeperKafka

What would be an option to add a fixed port to the running container.?

Regards,

On Tue, 10 Jul 2018 at 08:35, Rahul Singh <[hidden email]> wrote:

Seems like you need to expose your port via docker run or docker-compose .

https://docs.docker.com/v17.09/engine/userguide/networking/default_network/binding/



--
Rahul Singh
[hidden email]

Anant Corporation
On Jul 9, 2018, 2:21 PM -0500, Mich Talebzadeh <[hidden email]>, wrote:
> Hi,
>
> I have now successfully created a docker for RHEL75 as follows:
>
> [root@rhes75 ~]# docker ps -a
> CONTAINER ID IMAGE COMMAND
> CREATED STATUS PORTS NAMES
> 816f07de15b1 zookeeper "/docker-entrypoint.…" 2 hours
> ago Up 2 hours 2181/tcp, 2888/tcp, 3888/tcp
> dockerZooKeeper
> 8dd84a174834 ubuntu "bash" 6 hours
> ago Up 6 hours
> dockerZooKeeperKafka
>
> The first container is ready made for ZooKeeper that exposes the zookeeper
> client port etc.
>
> The second container is an ubuntu shell which I installed both zookeeper
> and Kafka on it. They are both running in container dockerZooKeeperKafka
>
>
> hduser@8dd84a174834: /home/hduser/dba/bin> jps
> 5715 Kafka
> 5647 QuorumPeerMain
>
> hduser@8dd84a174834: /home/hduser/dba/bin> netstat -plten
> (Not all processes could be identified, non-owned process info
> will not be shown, you would have to be root to see it all.)
> Active Internet connections (only servers)
> Proto Recv-Q Send-Q Local Address Foreign Address
> State User Inode PID/Program name
> tcp 0 0 0.0.0.0:9999 0.0.0.0:*
> LISTEN 1005 2865148 5715/java
> tcp 0 0 0.0.0.0:35312 0.0.0.0:*
> LISTEN 1005 2865147 5715/java
> tcp 0 0 0.0.0.0:34193 0.0.0.0:*
> LISTEN 1005 2865151 5715/java
> tcp 0 0 0.0.0.0:22 0.0.0.0:*
> LISTEN 0 2757032 -
> tcp 0 0 0.0.0.0:40803 0.0.0.0:*
> LISTEN 1005 2852821 5647/java
>
>
> *tcp 0 0 0.0.0.0:9092 <http://0.0.0.0:9092>
> 0.0.0.0:* LISTEN 1005 2873507
> 5715/javatcp 0 0 0.0.0.0:2181 <http://0.0.0.0:2181>
> 0.0.0.0:* LISTEN 1005 2852829 5647/java*tcp6
> 0 0 :::22 :::* LISTEN
> 0 2757034 -
>
> I have a gateway node that is connected to the host running the container.
> From within the container I can ssh to the gateway host *as both the
> gateway host and host running the container are on the same VLAN.*
>
>
> However, I cannot connect from gateway to the container. The container has
> this IP address
>
> root@8dd84a174834:~# ifconfig -a
> eth0: flags=4163<UP,BROADCAST,RUNNING,MULTICAST> mtu 1500
> *inet 172.17.0.2 netmask 255.255.0.0 broadcast 172.17.255.255*
> ether 02:42:ac:11:00:02 txqueuelen 0 (Ethernet)
> RX packets 173015 bytes 3263068025 (3.2 GB)
> RX errors 0 dropped 0 overruns 0 frame 0
> TX packets 189400 bytes 13557709 (13.5 MB)
> TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0
>
> lo: flags=73<UP,LOOPBACK,RUNNING> mtu 65536
> inet 127.0.0.1 netmask 255.0.0.0
> loop txqueuelen 1000 (Local Loopback)
> RX packets 8450 bytes 534805 (534.8 KB)
> RX errors 0 dropped 0 overruns 0 frame 0
> TX packets 8450 bytes 534805 (534.8 KB)
> TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0
>
>
>
> The interesting thing is that in order to publish streaming test data I
> need to be able to do something like below
>
>
> cat ${PRICES} | ${KAFKA_HOME}/bin/kafka-console-producer.sh --broker-list
> rhes75:9092,rhes564:9092,rhes75:9093,rhes564:9093,rhes75:9094,rhes564:9094
> --topic md
>
>
> That Kafka broker list --broker-list
> rhes75:9092,rhes564:9092,rhes75:9093,rhes564:9093,rhes75:9094,rhes564:9094
> needs to be replaced by <container hostname>:9092!
>
>
> So at this juncture I am wondering what type of network needs to be created
> as the container is running within another host.
>
>
> Thanks
>
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.
>
>
>
>
> On Sun, 8 Jul 2018 at 20:00, Martin Gainty <[hidden email]> wrote:
>
> >
> >
> > ________________________________
> > From: Mich Talebzadeh <[hidden email]>
> > Sent: Sunday, July 8, 2018 1:01 PM
> > To: [hidden email]
> > Subject: Re: Real time streaming as a microservice
> >
> > Thanks Martin.
> >
> > From an implementation point of view do we need to introduce docker for
> > each microservice? In other words does it have to be artefact --> contain
> > --> docker for this to be true microservice and all these microservices
> > communicate through Service Registry.
> > MG>for deployment deploying thru docker container would be the easiest
> > means to test
> > MG>but first we would need to concentrate
> > MG>on your developing a micro-service first
> > MG>your development of a service registry
> > MG>your development of a micro-services container which can lookup
> > necessary endpoints
> > MG>since you pre-pordained Docker to be your deploy container I would
> > suggest implementing OpenShift
> > https://www.openshift.org/
> > OpenShift Origin - Open Source Container Application Platform<
> > https://www.openshift.org/>
> > www.openshift.org
> > The next generation open source app hosting platform by Red Hat
> >
> >
> >
> >
> > Also if we wanted to move from a monolithic classic design with Streaming
> > Ingestion (ZooKeeper, Kafka) --> Processing engine (Spark Streaming, Flink)
> > --> Real time dashboard (anything built on something like D3) to
> > microservices how would that entail.
> > MG>the simpler the function the better ...something like
> > MG>simple input...user enters 'foo'
> > MG>simple processing....process does spark stream to determine what result
> > responds to 'foo'
> > MG>simple output...output will be text 'bar' formatting to be decided
> > (text/html/pdf?)
> >
> > One option would be to have three
> > principal microservices (each with sub-services) providing three
> > components?
> > MG>concentrate on the simplest function which would be_______________?
> > MG>shoehorn simple function into a viable microservice
> > MG>the following inventory microservice from redhat example shows how your
> > ______? service
> > MG>can be incorporated into a openshift container
> > MG>and be readily deployable in docker container
> > MG>
> > https://developers.redhat.com/blog/2017/05/16/openshift-and-devops-the-coolstore-microservices-example/
> > [
> > https://developers.redhat.com/blog/wp-content/uploads/2017/05/img_5912da9d19c3c.png
> > ]<
> > https://developers.redhat.com/blog/2017/05/16/openshift-and-devops-the-coolstore-microservices-example/
> > >
> >
> > OpenShift and DevOps: The CoolStore Microservices Example<
> > https://developers.redhat.com/blog/2017/05/16/openshift-and-devops-the-coolstore-microservices-example/
> > >
> > developers.redhat.com
> > Today I want to talk about the demo we presented @ OpenShift Container
> > Platform Roadshow in Milan & Rome last week. The demo was based on JBoss
> > team’s great work available on this repo: In the next few paragraphs, I’ll
> > describe in deep detail the microservices CoolStore example and how we used
> > ...
> >
> >
> > MG>the first step would involve knowing which simple function you need to
> > deploy as microservice ?
> >
> > Regards,
> >
> > Dr Mich Talebzadeh
> >
> >
> >
> > LinkedIn *
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > <
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > > *
> >
> >
> >
> > http://talebzadehmich.wordpress.com
> >
> >
> > *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> > loss, damage or destruction of data or any other property which may arise
> > from relying on this email's technical content is explicitly disclaimed.
> > The author will in no case be liable for any monetary damages arising from
> > such loss, damage or destruction.
> >
> >
> >
> >
> > On Sun, 8 Jul 2018 at 13:58, Martin Gainty <[hidden email]> wrote:
> >
> > >
> > >
> > > initial work under using Zookeeper as a Microservices container is here
> > >
> > >
> > http://planet.jboss.org/post/zookeeper_for_microservice_registration_and_discovery
> > >
> > > ZooKeeper for Microservice Registration and Discovery ...<
> > >
> > http://planet.jboss.org/post/zookeeper_for_microservice_registration_and_discovery
> > > >
> > > planet.jboss.org
> > > In a microservice world, multiple services are typically distributed in a
> > > PaaS environment. Immutable infrastructure, such as those provided by
> > > containers or immutable VM images. Services may scale up and down based
> > > upon certain pre-defined metrics. Exact address of the service may not be
> > > known ...
> > >
> > > once your Zookeeper Microservices container is operational
> > >
> > > you would need to 'tweak' kafka to extend and implement
> > classes/interfaces
> > > to become
> > > a true microservices component..this may help
> > >
> > >
> > >
> > http://blog.arungupta.me/monolithic-microservices-refactoring-javaee-applications/
> > > [
> > http://blog.arungupta.me/wp-content/uploads/2015/06/javaee-monolithic.png
> > > ]<
> > >
> > http://blog.arungupta.me/monolithic-microservices-refactoring-javaee-applications/
> > > >
> > >
> > > Monolithic to Microservices Refactoring for Java EE ...<
> > >
> > http://blog.arungupta.me/monolithic-microservices-refactoring-javaee-applications/
> > > >
> > > blog.arungupta.me
> > > Have you ever wondered what does it take to refactor an existing Java EE
> > > monolithic application to a microservices-based one? This blog explains
> > how
> > > a trivial shopping cart example was converted to microservices-based
> > > application, and what are some of the concerns around it.
> > >
> > >
> > >
> > > let me know if i can help out
> > > Martin
> > >
> > >
> > > ________________________________
> > > From: Jörn Franke <[hidden email]>
> > > Sent: Sunday, July 8, 2018 6:18 AM
> > > To: [hidden email]
> > > Cc: [hidden email]
> > > Subject: Re: Real time streaming as a microservice
> > >
> > > Yes or Kafka will need it ...
> > > As soon as your orchestrate different microservices this will happen.
> > >
> > >
> > >
> > > > On 8. Jul 2018, at 11:33, Mich Talebzadeh <[hidden email]>
> > > wrote:
> > > >
> > > > Thanks Jorn.
> > > >
> > > > So I gather as you correctly suggested, microservices do provide value
> > in
> > > > terms of modularisation. However, there will always "inevitably" be
> > > > scenarios where the receiving artefact say Flink needs communication
> > > > protocol changes?
> > > >
> > > > thanks
> > > >
> > > > Dr Mich Talebzadeh
> > > >
> > > >
> > > >
> > > > LinkedIn *
> > >
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > > > <
> > >
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > > > *
> > > >
> > > >
> > > >
> > > > http://talebzadehmich.wordpress.com
> > > >
> > > >
> > > > *Disclaimer:* Use it at your own risk. Any and all responsibility for
> > any
> > > > loss, damage or destruction of data or any other property which may
> > arise
> > > > from relying on this email's technical content is explicitly
> > disclaimed.
> > > > The author will in no case be liable for any monetary damages arising
> > > from
> > > > such loss, damage or destruction.
> > > >
> > > >
> > > >
> > > >
> > > > > On Sun, 8 Jul 2018 at 10:25, Jörn Franke <[hidden email]>
> > wrote:
> > > > >
> > > > > That they are loosely coupled does not mean they are independent. For
> > > > > instance, you would not be able to replace Kafka with zeromq in your
> > > > > scenario. Unfortunately also Kafka sometimes needs to introduce
> > breaking
> > > > > changes and the dependent application needs to upgrade.
> > > > > You will not be able to avoid these scenarios in the future (this is
> > > only
> > > > > possible if micro services don’t communicate with each other or if
> > they
> > > > > would never need to change their communication protocol - pretty
> > > impossible
> > > > > ). However there are ways of course to reduce it, eg kafka could
> > reduce
> > > the
> > > > > number of breaking changes or you can develop a very lightweight
> > > > > microservice that is very easy to change and that only deals with the
> > > > > broker integration and your application etc.
> > > > >
> > > > > > On 8. Jul 2018, at 10:59, Mich Talebzadeh <[hidden email]
> > >
> > > > > wrote:
> > > > > >
> > > > > > Hi,
> > > > > >
> > > > > > I have created the Kafka messaging architecture as a microservice
> > that
> > > > > > feeds both Spark streaming and Flink. Spark streaming uses
> > > micro-batches
> > > > > > meaning "collect and process data" and flink as an event driven
> > > > > > architecture (a stateful application that reacts to incoming events
> > by
> > > > > > triggering computations etc.
> > > > > >
> > > > > > According to Wikipedia, A Microservice is a technique that
> > structures
> > > an
> > > > > > application as a collection of loosely coupled services. In a
> > > > > microservices
> > > > > > architecture, services are fine-grained and the protocols are
> > > > > lightweight.
> > > > > >
> > > > > > Ok for streaming data among other things I have to create and
> > configure
> > > > > > topic (or topics), design a robust zookeeper ensemble and create
> > Kafka
> > > > > > brokers with scalability and resiliency. Then I can offer the
> > streaming
> > > > > as
> > > > > > a microservice to subscribers among them Spark and Flink. I can
> > upgrade
> > > > > > this microservice component in isolation without impacting either
> > Spark
> > > > > or
> > > > > > Flink.
> > > > > >
> > > > > > The problem I face here is the dependency on Flink etc on the jar
> > files
> > > > > > specific for the version of Kafka deployed. For example
> > > kafka_2.12-1.1.0
> > > > > is
> > > > > > built on Scala 2.12 and Kafka version 1.1.0. To make this work in
> > Flink
> > > > > 1.5
> > > > > > application, I need to use the correct dependency in sbt build. For
> > > > > > example:
> > > > > > libraryDependencies += "org.apache.flink" %%
> > > > > "flink-connector-kafka-0.11" %
> > > > > > "1.5.0"
> > > > > > libraryDependencies += "org.apache.flink" %%
> > > > > "flink-connector-kafka-base" %
> > > > > > "1.5.0"
> > > > > > libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
> > > > > > libraryDependencies += "org.apache.kafka" % "kafka-clients" %
> > > "0.11.0.0"
> > > > > > libraryDependencies += "org.apache.flink" %% "flink-streaming-scala"
> > %
> > > > > > "1.5.0"
> > > > > > libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"
> > > > > >
> > > > > > and the Scala code needs to change:
> > > > > >
> > > > > > import
> > > org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer011
> > > > > > …
> > > > > > val stream = env
> > > > > > .addSource(new FlinkKafkaConsumer011[String]("md", new
> > > > > > SimpleStringSchema(), properties))
> > > > > >
> > > > > > So in summary some changes need to be made to Flink to be able to
> > > > > interact
> > > > > > with the new version of Kafka. And more importantly if one can use an
> > > > > > abstract notion of microservice here?
> > > > > >
> > > > > > Dr Mich Talebzadeh
> > > > > >
> > > > > >
> > > > > >
> > > > > > LinkedIn *
> > > > >
> > >
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > > > > > <
> > > > >
> > >
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > > > > > *
> > > > > >
> > > > > >
> > > > > >
> > > > > > http://talebzadehmich.wordpress.com
> > > > > >
> > > > > >
> > > > > > *Disclaimer:* Use it at your own risk. Any and all responsibility for
> > > any
> > > > > > loss, damage or destruction of data or any other property which may
> > > arise
> > > > > > from relying on this email's technical content is explicitly
> > > disclaimed.
> > > > > > The author will in no case be liable for any monetary damages arising
> > > > > from
> > > > > > such loss, damage or destruction.
> > > > >
> > >
> >

[Deepak Sharma]

Is it on github Mich ?

I would love to use the flink and spark edition and add some use cases from my side.

Thanks

Deepak

On Sun, Jul 15, 2018, 13:38 Mich Talebzadeh <[hidden email]> wrote:

Hi all,

I have now managed to deploy both ZooKeeper and Kafka as microservices using docker images.

The idea came to me as I wanted to create lightweight processes for both ZooKeeper and Kafka to be used as services for Flink and Spark simultaneously.

In this design both Flink and Spark rely on streaming market data messages published through Kafka. My current design is simple one docker for Zookeeper and another for Kafka

[root@rhes75 ~]# docker ps -a
CONTAINER ID        IMAGE               COMMAND                  CREATED             STATUS                  PORTS                                            NAMES
05cf097ac139        ches/kafka          "/start.sh"              9 hours ago         Up 9 hours              0.0.0.0:7203->7203/tcp, 0.0.0.0:9092->9092/tcp   kafka
b173e455cc80        jplock/zookeeper    "/opt/zookeeper/bin/…"   10 hours ago        Up 10 hours (healthy)   2888/tcp, 0.0.0.0:2181->2181/tcp, 3888/tcp       zookeeper

Note that the docker ports are exposed to the physical host that running the containers.

A test message is simply created as follows:

${KAFKA_HOME}/bin/kafka-topics.sh --create --zookeeper rhes75:2181 --replication-factor 1 --partitions 1 --topic test

Note that rhes75 is the host that houses the dockers and port 2181 is the zookeeper port used by the zookeeper docker and mapped

The spark streaming uses speed layer in Lambda architecture to write to an Hbase table for selected market data (Hbase requires connectivity to a Zookeeper). For Hbase I specified a zookeeper instance running on another host and Hbase works fine.

Anyway I will provide further info and diagrams.

Cheers,

On Sun, 15 Jul 2018 at 08:40, Mich Talebzadeh <[hidden email]> wrote:

Thanks got it sorted.

Regards,

On Tue, 10 Jul 2018 at 09:24, Mich Talebzadeh <[hidden email]> wrote:

Thanks Rahul.

This is the outcome of 

[root@rhes75 ~]# iptables -t nat -L -n
Chain PREROUTING (policy ACCEPT)
target     prot opt source               destination
DOCKER     all  --  0.0.0.0/0            0.0.0.0/0            ADDRTYPE match dst-type LOCAL

Chain INPUT (policy ACCEPT)
target     prot opt source               destination

Chain OUTPUT (policy ACCEPT)
target     prot opt source               destination
DOCKER     all  --  0.0.0.0/0           !127.0.0.0/8          ADDRTYPE match dst-type LOCAL

Chain POSTROUTING (policy ACCEPT)
target     prot opt source               destination
MASQUERADE  all  --  172.17.0.0/16        0.0.0.0/0
MASQUERADE  all  --  172.18.0.0/16        0.0.0.0/0
RETURN     all  --  192.168.122.0/24     224.0.0.0/24
RETURN     all  --  192.168.122.0/24     255.255.255.255
MASQUERADE  tcp  --  192.168.122.0/24    !192.168.122.0/24     masq ports: 1024-65535
MASQUERADE  udp  --  192.168.122.0/24    !192.168.122.0/24     masq ports: 1024-65535
MASQUERADE  all  --  192.168.122.0/24    !192.168.122.0/24

Chain DOCKER (2 references)
target     prot opt source               destination
RETURN     all  --  0.0.0.0/0            0.0.0.0/0
RETURN     all  --  0.0.0.0/0            0.0.0.0/0

So basically I need to connect to container from another host as the link points it out.

My docker is already running.

[root@rhes75 ~]# docker ps -a
CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES
8dd84a174834        ubuntu              "bash"              19 hours ago        Up 11 hours                             dockerZooKeeperKafka

What would be an option to add a fixed port to the running container.?

Regards,

On Tue, 10 Jul 2018 at 08:35, Rahul Singh <[hidden email]> wrote:

Seems like you need to expose your port via docker run or docker-compose .

https://docs.docker.com/v17.09/engine/userguide/networking/default_network/binding/



--
Rahul Singh
[hidden email]

Anant Corporation
On Jul 9, 2018, 2:21 PM -0500, Mich Talebzadeh <[hidden email]>, wrote:
> Hi,
>
> I have now successfully created a docker for RHEL75 as follows:
>
> [root@rhes75 ~]# docker ps -a
> CONTAINER ID IMAGE COMMAND
> CREATED STATUS PORTS NAMES
> 816f07de15b1 zookeeper "/docker-entrypoint.…" 2 hours
> ago Up 2 hours 2181/tcp, 2888/tcp, 3888/tcp
> dockerZooKeeper
> 8dd84a174834 ubuntu "bash" 6 hours
> ago Up 6 hours
> dockerZooKeeperKafka
>
> The first container is ready made for ZooKeeper that exposes the zookeeper
> client port etc.
>
> The second container is an ubuntu shell which I installed both zookeeper
> and Kafka on it. They are both running in container dockerZooKeeperKafka
>
>
> hduser@8dd84a174834: /home/hduser/dba/bin> jps
> 5715 Kafka
> 5647 QuorumPeerMain
>
> hduser@8dd84a174834: /home/hduser/dba/bin> netstat -plten
> (Not all processes could be identified, non-owned process info
> will not be shown, you would have to be root to see it all.)
> Active Internet connections (only servers)
> Proto Recv-Q Send-Q Local Address Foreign Address
> State User Inode PID/Program name
> tcp 0 0 0.0.0.0:9999 0.0.0.0:*
> LISTEN 1005 2865148 5715/java
> tcp 0 0 0.0.0.0:35312 0.0.0.0:*
> LISTEN 1005 2865147 5715/java
> tcp 0 0 0.0.0.0:34193 0.0.0.0:*
> LISTEN 1005 2865151 5715/java
> tcp 0 0 0.0.0.0:22 0.0.0.0:*
> LISTEN 0 2757032 -
> tcp 0 0 0.0.0.0:40803 0.0.0.0:*
> LISTEN 1005 2852821 5647/java
>
>
> *tcp 0 0 0.0.0.0:9092 <http://0.0.0.0:9092>
> 0.0.0.0:* LISTEN 1005 2873507
> 5715/javatcp 0 0 0.0.0.0:2181 <http://0.0.0.0:2181>
> 0.0.0.0:* LISTEN 1005 2852829 5647/java*tcp6
> 0 0 :::22 :::* LISTEN
> 0 2757034 -
>
> I have a gateway node that is connected to the host running the container.
> From within the container I can ssh to the gateway host *as both the
> gateway host and host running the container are on the same VLAN.*
>
>
> However, I cannot connect from gateway to the container. The container has
> this IP address
>
> root@8dd84a174834:~# ifconfig -a
> eth0: flags=4163<UP,BROADCAST,RUNNING,MULTICAST> mtu 1500
> *inet 172.17.0.2 netmask 255.255.0.0 broadcast 172.17.255.255*
> ether 02:42:ac:11:00:02 txqueuelen 0 (Ethernet)
> RX packets 173015 bytes 3263068025 (3.2 GB)
> RX errors 0 dropped 0 overruns 0 frame 0
> TX packets 189400 bytes 13557709 (13.5 MB)
> TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0
>
> lo: flags=73<UP,LOOPBACK,RUNNING> mtu 65536
> inet 127.0.0.1 netmask 255.0.0.0
> loop txqueuelen 1000 (Local Loopback)
> RX packets 8450 bytes 534805 (534.8 KB)
> RX errors 0 dropped 0 overruns 0 frame 0
> TX packets 8450 bytes 534805 (534.8 KB)
> TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0
>
>
>
> The interesting thing is that in order to publish streaming test data I
> need to be able to do something like below
>
>
> cat ${PRICES} | ${KAFKA_HOME}/bin/kafka-console-producer.sh --broker-list
> rhes75:9092,rhes564:9092,rhes75:9093,rhes564:9093,rhes75:9094,rhes564:9094
> --topic md
>
>
> That Kafka broker list --broker-list
> rhes75:9092,rhes564:9092,rhes75:9093,rhes564:9093,rhes75:9094,rhes564:9094
> needs to be replaced by <container hostname>:9092!
>
>
> So at this juncture I am wondering what type of network needs to be created
> as the container is running within another host.
>
>
> Thanks
>
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.
>
>
>
>
> On Sun, 8 Jul 2018 at 20:00, Martin Gainty <[hidden email]> wrote:
>
> >
> >
> > ________________________________
> > From: Mich Talebzadeh <[hidden email]>
> > Sent: Sunday, July 8, 2018 1:01 PM
> > To: [hidden email]
> > Subject: Re: Real time streaming as a microservice
> >
> > Thanks Martin.
> >
> > From an implementation point of view do we need to introduce docker for
> > each microservice? In other words does it have to be artefact --> contain
> > --> docker for this to be true microservice and all these microservices
> > communicate through Service Registry.
> > MG>for deployment deploying thru docker container would be the easiest
> > means to test
> > MG>but first we would need to concentrate
> > MG>on your developing a micro-service first
> > MG>your development of a service registry
> > MG>your development of a micro-services container which can lookup
> > necessary endpoints
> > MG>since you pre-pordained Docker to be your deploy container I would
> > suggest implementing OpenShift
> > https://www.openshift.org/
> > OpenShift Origin - Open Source Container Application Platform<
> > https://www.openshift.org/>
> > www.openshift.org
> > The next generation open source app hosting platform by Red Hat
> >
> >
> >
> >
> > Also if we wanted to move from a monolithic classic design with Streaming
> > Ingestion (ZooKeeper, Kafka) --> Processing engine (Spark Streaming, Flink)
> > --> Real time dashboard (anything built on something like D3) to
> > microservices how would that entail.
> > MG>the simpler the function the better ...something like
> > MG>simple input...user enters 'foo'
> > MG>simple processing....process does spark stream to determine what result
> > responds to 'foo'
> > MG>simple output...output will be text 'bar' formatting to be decided
> > (text/html/pdf?)
> >
> > One option would be to have three
> > principal microservices (each with sub-services) providing three
> > components?
> > MG>concentrate on the simplest function which would be_______________?
> > MG>shoehorn simple function into a viable microservice
> > MG>the following inventory microservice from redhat example shows how your
> > ______? service
> > MG>can be incorporated into a openshift container
> > MG>and be readily deployable in docker container
> > MG>
> > https://developers.redhat.com/blog/2017/05/16/openshift-and-devops-the-coolstore-microservices-example/
> > [
> > https://developers.redhat.com/blog/wp-content/uploads/2017/05/img_5912da9d19c3c.png
> > ]<
> > https://developers.redhat.com/blog/2017/05/16/openshift-and-devops-the-coolstore-microservices-example/
> > >
> >
> > OpenShift and DevOps: The CoolStore Microservices Example<
> > https://developers.redhat.com/blog/2017/05/16/openshift-and-devops-the-coolstore-microservices-example/
> > >
> > developers.redhat.com
> > Today I want to talk about the demo we presented @ OpenShift Container
> > Platform Roadshow in Milan & Rome last week. The demo was based on JBoss
> > team’s great work available on this repo: In the next few paragraphs, I’ll
> > describe in deep detail the microservices CoolStore example and how we used
> > ...
> >
> >
> > MG>the first step would involve knowing which simple function you need to
> > deploy as microservice ?
> >
> > Regards,
> >
> > Dr Mich Talebzadeh
> >
> >
> >
> > LinkedIn *
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > <
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > > *
> >
> >
> >
> > http://talebzadehmich.wordpress.com
> >
> >
> > *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> > loss, damage or destruction of data or any other property which may arise
> > from relying on this email's technical content is explicitly disclaimed.
> > The author will in no case be liable for any monetary damages arising from
> > such loss, damage or destruction.
> >
> >
> >
> >
> > On Sun, 8 Jul 2018 at 13:58, Martin Gainty <[hidden email]> wrote:
> >
> > >
> > >
> > > initial work under using Zookeeper as a Microservices container is here
> > >
> > >
> > http://planet.jboss.org/post/zookeeper_for_microservice_registration_and_discovery
> > >
> > > ZooKeeper for Microservice Registration and Discovery ...<
> > >
> > http://planet.jboss.org/post/zookeeper_for_microservice_registration_and_discovery
> > > >
> > > planet.jboss.org
> > > In a microservice world, multiple services are typically distributed in a
> > > PaaS environment. Immutable infrastructure, such as those provided by
> > > containers or immutable VM images. Services may scale up and down based
> > > upon certain pre-defined metrics. Exact address of the service may not be
> > > known ...
> > >
> > > once your Zookeeper Microservices container is operational
> > >
> > > you would need to 'tweak' kafka to extend and implement
> > classes/interfaces
> > > to become
> > > a true microservices component..this may help
> > >
> > >
> > >
> > http://blog.arungupta.me/monolithic-microservices-refactoring-javaee-applications/
> > > [
> > http://blog.arungupta.me/wp-content/uploads/2015/06/javaee-monolithic.png
> > > ]<
> > >
> > http://blog.arungupta.me/monolithic-microservices-refactoring-javaee-applications/
> > > >
> > >
> > > Monolithic to Microservices Refactoring for Java EE ...<
> > >
> > http://blog.arungupta.me/monolithic-microservices-refactoring-javaee-applications/
> > > >
> > > blog.arungupta.me
> > > Have you ever wondered what does it take to refactor an existing Java EE
> > > monolithic application to a microservices-based one? This blog explains
> > how
> > > a trivial shopping cart example was converted to microservices-based
> > > application, and what are some of the concerns around it.
> > >
> > >
> > >
> > > let me know if i can help out
> > > Martin
> > >
> > >
> > > ________________________________
> > > From: Jörn Franke <[hidden email]>
> > > Sent: Sunday, July 8, 2018 6:18 AM
> > > To: [hidden email]
> > > Cc: [hidden email]
> > > Subject: Re: Real time streaming as a microservice
> > >
> > > Yes or Kafka will need it ...
> > > As soon as your orchestrate different microservices this will happen.
> > >
> > >
> > >
> > > > On 8. Jul 2018, at 11:33, Mich Talebzadeh <[hidden email]>
> > > wrote:
> > > >
> > > > Thanks Jorn.
> > > >
> > > > So I gather as you correctly suggested, microservices do provide value
> > in
> > > > terms of modularisation. However, there will always "inevitably" be
> > > > scenarios where the receiving artefact say Flink needs communication
> > > > protocol changes?
> > > >
> > > > thanks
> > > >
> > > > Dr Mich Talebzadeh
> > > >
> > > >
> > > >
> > > > LinkedIn *
> > >
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > > > <
> > >
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > > > *
> > > >
> > > >
> > > >
> > > > http://talebzadehmich.wordpress.com
> > > >
> > > >
> > > > *Disclaimer:* Use it at your own risk. Any and all responsibility for
> > any
> > > > loss, damage or destruction of data or any other property which may
> > arise
> > > > from relying on this email's technical content is explicitly
> > disclaimed.
> > > > The author will in no case be liable for any monetary damages arising
> > > from
> > > > such loss, damage or destruction.
> > > >
> > > >
> > > >
> > > >
> > > > > On Sun, 8 Jul 2018 at 10:25, Jörn Franke <[hidden email]>
> > wrote:
> > > > >
> > > > > That they are loosely coupled does not mean they are independent. For
> > > > > instance, you would not be able to replace Kafka with zeromq in your
> > > > > scenario. Unfortunately also Kafka sometimes needs to introduce
> > breaking
> > > > > changes and the dependent application needs to upgrade.
> > > > > You will not be able to avoid these scenarios in the future (this is
> > > only
> > > > > possible if micro services don’t communicate with each other or if
> > they
> > > > > would never need to change their communication protocol - pretty
> > > impossible
> > > > > ). However there are ways of course to reduce it, eg kafka could
> > reduce
> > > the
> > > > > number of breaking changes or you can develop a very lightweight
> > > > > microservice that is very easy to change and that only deals with the
> > > > > broker integration and your application etc.
> > > > >
> > > > > > On 8. Jul 2018, at 10:59, Mich Talebzadeh <[hidden email]
> > >
> > > > > wrote:
> > > > > >
> > > > > > Hi,
> > > > > >
> > > > > > I have created the Kafka messaging architecture as a microservice
> > that
> > > > > > feeds both Spark streaming and Flink. Spark streaming uses
> > > micro-batches
> > > > > > meaning "collect and process data" and flink as an event driven
> > > > > > architecture (a stateful application that reacts to incoming events
> > by
> > > > > > triggering computations etc.
> > > > > >
> > > > > > According to Wikipedia, A Microservice is a technique that
> > structures
> > > an
> > > > > > application as a collection of loosely coupled services. In a
> > > > > microservices
> > > > > > architecture, services are fine-grained and the protocols are
> > > > > lightweight.
> > > > > >
> > > > > > Ok for streaming data among other things I have to create and
> > configure
> > > > > > topic (or topics), design a robust zookeeper ensemble and create
> > Kafka
> > > > > > brokers with scalability and resiliency. Then I can offer the
> > streaming
> > > > > as
> > > > > > a microservice to subscribers among them Spark and Flink. I can
> > upgrade
> > > > > > this microservice component in isolation without impacting either
> > Spark
> > > > > or
> > > > > > Flink.
> > > > > >
> > > > > > The problem I face here is the dependency on Flink etc on the jar
> > files
> > > > > > specific for the version of Kafka deployed. For example
> > > kafka_2.12-1.1.0
> > > > > is
> > > > > > built on Scala 2.12 and Kafka version 1.1.0. To make this work in
> > Flink
> > > > > 1.5
> > > > > > application, I need to use the correct dependency in sbt build. For
> > > > > > example:
> > > > > > libraryDependencies += "org.apache.flink" %%
> > > > > "flink-connector-kafka-0.11" %
> > > > > > "1.5.0"
> > > > > > libraryDependencies += "org.apache.flink" %%
> > > > > "flink-connector-kafka-base" %
> > > > > > "1.5.0"
> > > > > > libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
> > > > > > libraryDependencies += "org.apache.kafka" % "kafka-clients" %
> > > "0.11.0.0"
> > > > > > libraryDependencies += "org.apache.flink" %% "flink-streaming-scala"
> > %
> > > > > > "1.5.0"
> > > > > > libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"
> > > > > >
> > > > > > and the Scala code needs to change:
> > > > > >
> > > > > > import
> > > org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer011
> > > > > > …
> > > > > > val stream = env
> > > > > > .addSource(new FlinkKafkaConsumer011[String]("md", new
> > > > > > SimpleStringSchema(), properties))
> > > > > >
> > > > > > So in summary some changes need to be made to Flink to be able to
> > > > > interact
> > > > > > with the new version of Kafka. And more importantly if one can use an
> > > > > > abstract notion of microservice here?
> > > > > >
> > > > > > Dr Mich Talebzadeh
> > > > > >
> > > > > >
> > > > > >
> > > > > > LinkedIn *
> > > > >
> > >
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > > > > > <
> > > > >
> > >
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > > > > > *
> > > > > >
> > > > > >
> > > > > >
> > > > > > http://talebzadehmich.wordpress.com
> > > > > >
> > > > > >
> > > > > > *Disclaimer:* Use it at your own risk. Any and all responsibility for
> > > any
> > > > > > loss, damage or destruction of data or any other property which may
> > > arise
> > > > > > from relying on this email's technical content is explicitly
> > > disclaimed.
> > > > > > The author will in no case be liable for any monetary damages arising
> > > > > from
> > > > > > such loss, damage or destruction.
> > > > >
> > >
> >

[Mich Talebzadeh]

Hi Deepak,

I will put it there once all the bits and pieces come together. At the moment I am drawing the diagrams. I will let you know.

Definitely everyone's contribution is welcome.

Regards,

On Sun, 15 Jul 2018 at 09:16, Deepak Sharma <[hidden email]> wrote:

Is it on github Mich ?

I would love to use the flink and spark edition and add some use cases from my side.

Thanks

Deepak

On Sun, Jul 15, 2018, 13:38 Mich Talebzadeh <[hidden email]> wrote:

Hi all,

I have now managed to deploy both ZooKeeper and Kafka as microservices using docker images.

The idea came to me as I wanted to create lightweight processes for both ZooKeeper and Kafka to be used as services for Flink and Spark simultaneously.

In this design both Flink and Spark rely on streaming market data messages published through Kafka. My current design is simple one docker for Zookeeper and another for Kafka

[root@rhes75 ~]# docker ps -a
CONTAINER ID        IMAGE               COMMAND                  CREATED             STATUS                  PORTS                                            NAMES
05cf097ac139        ches/kafka          "/start.sh"              9 hours ago         Up 9 hours              0.0.0.0:7203->7203/tcp, 0.0.0.0:9092->9092/tcp   kafka
b173e455cc80        jplock/zookeeper    "/opt/zookeeper/bin/…"   10 hours ago        Up 10 hours (healthy)   2888/tcp, 0.0.0.0:2181->2181/tcp, 3888/tcp       zookeeper

Note that the docker ports are exposed to the physical host that running the containers.

A test message is simply created as follows:

${KAFKA_HOME}/bin/kafka-topics.sh --create --zookeeper rhes75:2181 --replication-factor 1 --partitions 1 --topic test

Note that rhes75 is the host that houses the dockers and port 2181 is the zookeeper port used by the zookeeper docker and mapped

The spark streaming uses speed layer in Lambda architecture to write to an Hbase table for selected market data (Hbase requires connectivity to a Zookeeper). For Hbase I specified a zookeeper instance running on another host and Hbase works fine.

Anyway I will provide further info and diagrams.

Cheers,

On Sun, 15 Jul 2018 at 08:40, Mich Talebzadeh <[hidden email]> wrote:

Thanks got it sorted.

Regards,

On Tue, 10 Jul 2018 at 09:24, Mich Talebzadeh <[hidden email]> wrote:

Thanks Rahul.

This is the outcome of 

[root@rhes75 ~]# iptables -t nat -L -n
Chain PREROUTING (policy ACCEPT)
target     prot opt source               destination
DOCKER     all  --  0.0.0.0/0            0.0.0.0/0            ADDRTYPE match dst-type LOCAL

Chain INPUT (policy ACCEPT)
target     prot opt source               destination

Chain OUTPUT (policy ACCEPT)
target     prot opt source               destination
DOCKER     all  --  0.0.0.0/0           !127.0.0.0/8          ADDRTYPE match dst-type LOCAL

Chain POSTROUTING (policy ACCEPT)
target     prot opt source               destination
MASQUERADE  all  --  172.17.0.0/16        0.0.0.0/0
MASQUERADE  all  --  172.18.0.0/16        0.0.0.0/0
RETURN     all  --  192.168.122.0/24     224.0.0.0/24
RETURN     all  --  192.168.122.0/24     255.255.255.255
MASQUERADE  tcp  --  192.168.122.0/24    !192.168.122.0/24     masq ports: 1024-65535
MASQUERADE  udp  --  192.168.122.0/24    !192.168.122.0/24     masq ports: 1024-65535
MASQUERADE  all  --  192.168.122.0/24    !192.168.122.0/24

Chain DOCKER (2 references)
target     prot opt source               destination
RETURN     all  --  0.0.0.0/0            0.0.0.0/0
RETURN     all  --  0.0.0.0/0            0.0.0.0/0

So basically I need to connect to container from another host as the link points it out.

My docker is already running.

[root@rhes75 ~]# docker ps -a
CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES
8dd84a174834        ubuntu              "bash"              19 hours ago        Up 11 hours                             dockerZooKeeperKafka

What would be an option to add a fixed port to the running container.?

Regards,

On Tue, 10 Jul 2018 at 08:35, Rahul Singh <[hidden email]> wrote:

Seems like you need to expose your port via docker run or docker-compose .

https://docs.docker.com/v17.09/engine/userguide/networking/default_network/binding/



--
Rahul Singh
[hidden email]

Anant Corporation
On Jul 9, 2018, 2:21 PM -0500, Mich Talebzadeh <[hidden email]>, wrote:
> Hi,
>
> I have now successfully created a docker for RHEL75 as follows:
>
> [root@rhes75 ~]# docker ps -a
> CONTAINER ID IMAGE COMMAND
> CREATED STATUS PORTS NAMES
> 816f07de15b1 zookeeper "/docker-entrypoint.…" 2 hours
> ago Up 2 hours 2181/tcp, 2888/tcp, 3888/tcp
> dockerZooKeeper
> 8dd84a174834 ubuntu "bash" 6 hours
> ago Up 6 hours
> dockerZooKeeperKafka
>
> The first container is ready made for ZooKeeper that exposes the zookeeper
> client port etc.
>
> The second container is an ubuntu shell which I installed both zookeeper
> and Kafka on it. They are both running in container dockerZooKeeperKafka
>
>
> hduser@8dd84a174834: /home/hduser/dba/bin> jps
> 5715 Kafka
> 5647 QuorumPeerMain
>
> hduser@8dd84a174834: /home/hduser/dba/bin> netstat -plten
> (Not all processes could be identified, non-owned process info
> will not be shown, you would have to be root to see it all.)
> Active Internet connections (only servers)
> Proto Recv-Q Send-Q Local Address Foreign Address
> State User Inode PID/Program name
> tcp 0 0 0.0.0.0:9999 0.0.0.0:*
> LISTEN 1005 2865148 5715/java
> tcp 0 0 0.0.0.0:35312 0.0.0.0:*
> LISTEN 1005 2865147 5715/java
> tcp 0 0 0.0.0.0:34193 0.0.0.0:*
> LISTEN 1005 2865151 5715/java
> tcp 0 0 0.0.0.0:22 0.0.0.0:*
> LISTEN 0 2757032 -
> tcp 0 0 0.0.0.0:40803 0.0.0.0:*
> LISTEN 1005 2852821 5647/java
>
>
> *tcp 0 0 0.0.0.0:9092 <http://0.0.0.0:9092>
> 0.0.0.0:* LISTEN 1005 2873507
> 5715/javatcp 0 0 0.0.0.0:2181 <http://0.0.0.0:2181>
> 0.0.0.0:* LISTEN 1005 2852829 5647/java*tcp6
> 0 0 :::22 :::* LISTEN
> 0 2757034 -
>
> I have a gateway node that is connected to the host running the container.
> From within the container I can ssh to the gateway host *as both the
> gateway host and host running the container are on the same VLAN.*
>
>
> However, I cannot connect from gateway to the container. The container has
> this IP address
>
> root@8dd84a174834:~# ifconfig -a
> eth0: flags=4163<UP,BROADCAST,RUNNING,MULTICAST> mtu 1500
> *inet 172.17.0.2 netmask 255.255.0.0 broadcast 172.17.255.255*
> ether 02:42:ac:11:00:02 txqueuelen 0 (Ethernet)
> RX packets 173015 bytes 3263068025 (3.2 GB)
> RX errors 0 dropped 0 overruns 0 frame 0
> TX packets 189400 bytes 13557709 (13.5 MB)
> TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0
>
> lo: flags=73<UP,LOOPBACK,RUNNING> mtu 65536
> inet 127.0.0.1 netmask 255.0.0.0
> loop txqueuelen 1000 (Local Loopback)
> RX packets 8450 bytes 534805 (534.8 KB)
> RX errors 0 dropped 0 overruns 0 frame 0
> TX packets 8450 bytes 534805 (534.8 KB)
> TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0
>
>
>
> The interesting thing is that in order to publish streaming test data I
> need to be able to do something like below
>
>
> cat ${PRICES} | ${KAFKA_HOME}/bin/kafka-console-producer.sh --broker-list
> rhes75:9092,rhes564:9092,rhes75:9093,rhes564:9093,rhes75:9094,rhes564:9094
> --topic md
>
>
> That Kafka broker list --broker-list
> rhes75:9092,rhes564:9092,rhes75:9093,rhes564:9093,rhes75:9094,rhes564:9094
> needs to be replaced by <container hostname>:9092!
>
>
> So at this juncture I am wondering what type of network needs to be created
> as the container is running within another host.
>
>
> Thanks
>
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.
>
>
>
>
> On Sun, 8 Jul 2018 at 20:00, Martin Gainty <[hidden email]> wrote:
>
> >
> >
> > ________________________________
> > From: Mich Talebzadeh <[hidden email]>
> > Sent: Sunday, July 8, 2018 1:01 PM
> > To: [hidden email]
> > Subject: Re: Real time streaming as a microservice
> >
> > Thanks Martin.
> >
> > From an implementation point of view do we need to introduce docker for
> > each microservice? In other words does it have to be artefact --> contain
> > --> docker for this to be true microservice and all these microservices
> > communicate through Service Registry.
> > MG>for deployment deploying thru docker container would be the easiest
> > means to test
> > MG>but first we would need to concentrate
> > MG>on your developing a micro-service first
> > MG>your development of a service registry
> > MG>your development of a micro-services container which can lookup
> > necessary endpoints
> > MG>since you pre-pordained Docker to be your deploy container I would
> > suggest implementing OpenShift
> > https://www.openshift.org/
> > OpenShift Origin - Open Source Container Application Platform<
> > https://www.openshift.org/>
> > www.openshift.org
> > The next generation open source app hosting platform by Red Hat
> >
> >
> >
> >
> > Also if we wanted to move from a monolithic classic design with Streaming
> > Ingestion (ZooKeeper, Kafka) --> Processing engine (Spark Streaming, Flink)
> > --> Real time dashboard (anything built on something like D3) to
> > microservices how would that entail.
> > MG>the simpler the function the better ...something like
> > MG>simple input...user enters 'foo'
> > MG>simple processing....process does spark stream to determine what result
> > responds to 'foo'
> > MG>simple output...output will be text 'bar' formatting to be decided
> > (text/html/pdf?)
> >
> > One option would be to have three
> > principal microservices (each with sub-services) providing three
> > components?
> > MG>concentrate on the simplest function which would be_______________?
> > MG>shoehorn simple function into a viable microservice
> > MG>the following inventory microservice from redhat example shows how your
> > ______? service
> > MG>can be incorporated into a openshift container
> > MG>and be readily deployable in docker container
> > MG>
> > https://developers.redhat.com/blog/2017/05/16/openshift-and-devops-the-coolstore-microservices-example/
> > [
> > https://developers.redhat.com/blog/wp-content/uploads/2017/05/img_5912da9d19c3c.png
> > ]<
> > https://developers.redhat.com/blog/2017/05/16/openshift-and-devops-the-coolstore-microservices-example/
> > >
> >
> > OpenShift and DevOps: The CoolStore Microservices Example<
> > https://developers.redhat.com/blog/2017/05/16/openshift-and-devops-the-coolstore-microservices-example/
> > >
> > developers.redhat.com
> > Today I want to talk about the demo we presented @ OpenShift Container
> > Platform Roadshow in Milan & Rome last week. The demo was based on JBoss
> > team’s great work available on this repo: In the next few paragraphs, I’ll
> > describe in deep detail the microservices CoolStore example and how we used
> > ...
> >
> >
> > MG>the first step would involve knowing which simple function you need to
> > deploy as microservice ?
> >
> > Regards,
> >
> > Dr Mich Talebzadeh
> >
> >
> >
> > LinkedIn *
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > <
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > > *
> >
> >
> >
> > http://talebzadehmich.wordpress.com
> >
> >
> > *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> > loss, damage or destruction of data or any other property which may arise
> > from relying on this email's technical content is explicitly disclaimed.
> > The author will in no case be liable for any monetary damages arising from
> > such loss, damage or destruction.
> >
> >
> >
> >
> > On Sun, 8 Jul 2018 at 13:58, Martin Gainty <[hidden email]> wrote:
> >
> > >
> > >
> > > initial work under using Zookeeper as a Microservices container is here
> > >
> > >
> > http://planet.jboss.org/post/zookeeper_for_microservice_registration_and_discovery
> > >
> > > ZooKeeper for Microservice Registration and Discovery ...<
> > >
> > http://planet.jboss.org/post/zookeeper_for_microservice_registration_and_discovery
> > > >
> > > planet.jboss.org
> > > In a microservice world, multiple services are typically distributed in a
> > > PaaS environment. Immutable infrastructure, such as those provided by
> > > containers or immutable VM images. Services may scale up and down based
> > > upon certain pre-defined metrics. Exact address of the service may not be
> > > known ...
> > >
> > > once your Zookeeper Microservices container is operational
> > >
> > > you would need to 'tweak' kafka to extend and implement
> > classes/interfaces
> > > to become
> > > a true microservices component..this may help
> > >
> > >
> > >
> > http://blog.arungupta.me/monolithic-microservices-refactoring-javaee-applications/
> > > [
> > http://blog.arungupta.me/wp-content/uploads/2015/06/javaee-monolithic.png
> > > ]<
> > >
> > http://blog.arungupta.me/monolithic-microservices-refactoring-javaee-applications/
> > > >
> > >
> > > Monolithic to Microservices Refactoring for Java EE ...<
> > >
> > http://blog.arungupta.me/monolithic-microservices-refactoring-javaee-applications/
> > > >
> > > blog.arungupta.me
> > > Have you ever wondered what does it take to refactor an existing Java EE
> > > monolithic application to a microservices-based one? This blog explains
> > how
> > > a trivial shopping cart example was converted to microservices-based
> > > application, and what are some of the concerns around it.
> > >
> > >
> > >
> > > let me know if i can help out
> > > Martin
> > >
> > >
> > > ________________________________
> > > From: Jörn Franke <[hidden email]>
> > > Sent: Sunday, July 8, 2018 6:18 AM
> > > To: [hidden email]
> > > Cc: [hidden email]
> > > Subject: Re: Real time streaming as a microservice
> > >
> > > Yes or Kafka will need it ...
> > > As soon as your orchestrate different microservices this will happen.
> > >
> > >
> > >
> > > > On 8. Jul 2018, at 11:33, Mich Talebzadeh <[hidden email]>
> > > wrote:
> > > >
> > > > Thanks Jorn.
> > > >
> > > > So I gather as you correctly suggested, microservices do provide value
> > in
> > > > terms of modularisation. However, there will always "inevitably" be
> > > > scenarios where the receiving artefact say Flink needs communication
> > > > protocol changes?
> > > >
> > > > thanks
> > > >
> > > > Dr Mich Talebzadeh
> > > >
> > > >
> > > >
> > > > LinkedIn *
> > >
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > > > <
> > >
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > > > *
> > > >
> > > >
> > > >
> > > > http://talebzadehmich.wordpress.com
> > > >
> > > >
> > > > *Disclaimer:* Use it at your own risk. Any and all responsibility for
> > any
> > > > loss, damage or destruction of data or any other property which may
> > arise
> > > > from relying on this email's technical content is explicitly
> > disclaimed.
> > > > The author will in no case be liable for any monetary damages arising
> > > from
> > > > such loss, damage or destruction.
> > > >
> > > >
> > > >
> > > >
> > > > > On Sun, 8 Jul 2018 at 10:25, Jörn Franke <[hidden email]>
> > wrote:
> > > > >
> > > > > That they are loosely coupled does not mean they are independent. For
> > > > > instance, you would not be able to replace Kafka with zeromq in your
> > > > > scenario. Unfortunately also Kafka sometimes needs to introduce
> > breaking
> > > > > changes and the dependent application needs to upgrade.
> > > > > You will not be able to avoid these scenarios in the future (this is
> > > only
> > > > > possible if micro services don’t communicate with each other or if
> > they
> > > > > would never need to change their communication protocol - pretty
> > > impossible
> > > > > ). However there are ways of course to reduce it, eg kafka could
> > reduce
> > > the
> > > > > number of breaking changes or you can develop a very lightweight
> > > > > microservice that is very easy to change and that only deals with the
> > > > > broker integration and your application etc.
> > > > >
> > > > > > On 8. Jul 2018, at 10:59, Mich Talebzadeh <[hidden email]
> > >
> > > > > wrote:
> > > > > >
> > > > > > Hi,
> > > > > >
> > > > > > I have created the Kafka messaging architecture as a microservice
> > that
> > > > > > feeds both Spark streaming and Flink. Spark streaming uses
> > > micro-batches
> > > > > > meaning "collect and process data" and flink as an event driven
> > > > > > architecture (a stateful application that reacts to incoming events
> > by
> > > > > > triggering computations etc.
> > > > > >
> > > > > > According to Wikipedia, A Microservice is a technique that
> > structures
> > > an
> > > > > > application as a collection of loosely coupled services. In a
> > > > > microservices
> > > > > > architecture, services are fine-grained and the protocols are
> > > > > lightweight.
> > > > > >
> > > > > > Ok for streaming data among other things I have to create and
> > configure
> > > > > > topic (or topics), design a robust zookeeper ensemble and create
> > Kafka
> > > > > > brokers with scalability and resiliency. Then I can offer the
> > streaming
> > > > > as
> > > > > > a microservice to subscribers among them Spark and Flink. I can
> > upgrade
> > > > > > this microservice component in isolation without impacting either
> > Spark
> > > > > or
> > > > > > Flink.
> > > > > >
> > > > > > The problem I face here is the dependency on Flink etc on the jar
> > files
> > > > > > specific for the version of Kafka deployed. For example
> > > kafka_2.12-1.1.0
> > > > > is
> > > > > > built on Scala 2.12 and Kafka version 1.1.0. To make this work in
> > Flink
> > > > > 1.5
> > > > > > application, I need to use the correct dependency in sbt build. For
> > > > > > example:
> > > > > > libraryDependencies += "org.apache.flink" %%
> > > > > "flink-connector-kafka-0.11" %
> > > > > > "1.5.0"
> > > > > > libraryDependencies += "org.apache.flink" %%
> > > > > "flink-connector-kafka-base" %
> > > > > > "1.5.0"
> > > > > > libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
> > > > > > libraryDependencies += "org.apache.kafka" % "kafka-clients" %
> > > "0.11.0.0"
> > > > > > libraryDependencies += "org.apache.flink" %% "flink-streaming-scala"
> > %
> > > > > > "1.5.0"
> > > > > > libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"
> > > > > >
> > > > > > and the Scala code needs to change:
> > > > > >
> > > > > > import
> > > org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer011
> > > > > > …
> > > > > > val stream = env
> > > > > > .addSource(new FlinkKafkaConsumer011[String]("md", new
> > > > > > SimpleStringSchema(), properties))
> > > > > >
> > > > > > So in summary some changes need to be made to Flink to be able to
> > > > > interact
> > > > > > with the new version of Kafka. And more importantly if one can use an
> > > > > > abstract notion of microservice here?
> > > > > >
> > > > > > Dr Mich Talebzadeh
> > > > > >
> > > > > >
> > > > > >
> > > > > > LinkedIn *
> > > > >
> > >
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> > > > > > <
> > > > >
> > >
> > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> > > > > > *
> > > > > >
> > > > > >
> > > > > >
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