Getting Started with Dyno Queues

Dyno-Queue is an interesting queue solution on top of Dynomite. Dyno-queue uses dynomite java driver a.k.a Dyno. Dyno Queue gets all benefits from dynomite like Strong Consistency, High Availability, Stability, High Throughput and Low latency and extend to queue semantics.

I highly recommend you read Netflix post about dyno-queue.



Dyno-Queues 

Dyno-queue also extra benefits and properties such as:
* Distributed
* No external locks (e.g. Zookeeper locks)
* Highly concurrent
* At-least-once delivery semantics
* No strict FIFO
* Delayed queue (message is not taken out of the queue until some time in the future)
* Priorities within the shard

Setting up a Dynomite Cluster with Docker

For development and experimentation reason we will use a side project I created called: dynomite-docker which makes very easy to setup dynomite cluster. So let's get started and set up the cluster.

If you are running on a mac you need to use the dynomite-docker-mac.sh script instead since dynomite-docker.sh is for Linux. After running $ ./dynomite-docker.sh run_single 0.6.0 you will have a 3 node dynomite cluster up and run and you should see something like this on the console:

Now that we have dynomite cluster Up and Running with docker we can move next and create the dyno connection.

Setting up a Dyno Connection

In order to set up a Dyno connection, we will need to create 4 classes. There we go:

* DynoConnectionManager: Connects to Dynomite and returns a client in a Sync way.
* DynomiteNodeInfo: Pojo to represent dynomite nodes information.
* DynomiteSeedsParser: Parse String format for objects.
* TokenMapSupplierHelper: Provide topology information about the cluster.

This is generic so we could use this to connect in other clusters. For sake of simplicity, the DynoConnectionManager does not take parameters but as you can see the seeds comes from Archaius so we could change if we need.

All right now we can move one and use dyno-queues.

Using Dyno Queues

We just need 1 class in order to use dyno queue - it's pretty simple - let's go.

Alright so here we create a Dyno connection to dynomite using DynoConnectionManager.build() method and then we define a dyno-queue configuration. We need to be defined a PREFIX and local-rack which will be part of the KEY inside redis. IF you running on AWS Rack should be an AZ and local-rack means same AZ as your application is running so you can reduce latency.

Them we can create a RedisQueues object and push messages to a queue we can poll messages from the queue as well and we can ACK messages to. As you can see the API is pretty simple and cool. If you want you can get the full code on my GitHub.

Cheers,
Diego Pacheco

Popular posts from this blog

Kafka Streams with Java 15

Image
Kafka Streams is a Streaming library similar to Spark and Flink which works with Apache Kafka. Kafka stream can be useful to process historical and near-real-time big data workloads but also for non-realtime analytical computations at scale for the online world as well. Kafka-Streams is elastic, highly scalable, fault-tolerant, and fully integrated with Kafka. You can use Kafka Stream with Java, Scala, Kotlin JVM applications and also have exactly-once processing semantics. Kafka-Streams is being used by the New York Times, Pinterest, Line, Trivago, Zalando, and many other companies. Today I want to share a video of Kafka-Streams running with Kafka 2.6 and Java JDK 15. So Let's get started. 
read more »

Rust and Java Interoperability

Image
Rust does not stop for one second to amaze me. It looks like Rust was designed to talk to every other language so easily. No kidding, it's clear way Web Assembly and rust have lots in common. Java is never an easy lang to interop with. Today I will show how easily we can interop Java & Rust. In order to do so, we will need to use the Java and Rust compilers. For Java, we will not require any other lib than the standard JDK. For Rust, we will need to create a lib project in cargo and we will need to use the crate JNI. I love this feature because java does not allow low-level code on the main language. So if we need to do something low level, efficiently Rust is my first choice, not only for safety reasons but because is really fast.  Let's get started.
read more »

HMAC in Java

Image
In 2018 AWS CTO(Vogels) said : "Security is everyone's job". For the last 2 years, there was so many famous and big data leaks and breaks that made that statement be very true more than ever. Security often could mean worst performance and worst user experience so in order to get it right you really need to think about the designs before jumping into to code and consider performance and user experience has main requirements.  I was thinking about writing about how to do HMAC in Java for a while and recently Redis 6.0.0 come out and to my surprise, there was a refactoring on the password part in order to use HMAC.  Security easily could scare engineers often because it is not something well spread yet but I believe this will change soon. It does not matter if you have to deal with PII Data or not, security is super relevant because everybody is running their workloads at the cloud or with IoT and Edge devices which means more distribution, more code, more points of fail
read more »