Kafka Github Issues

0 or Automation Industry. The Kafka Project «Two men were standing behind the grave and were holding a tombstone between them in the air; scarcely had K. The messages are coming in Avro format and contain diffe. We've been tracking an issue where Kafka hits an java. It is a great messaging system, but saying it is a database is a gross overstatement. I restarted it a few times and it did the same thing each time. The other requirement is to be able to run multiple instances of this consumer. Initially conceived as a messaging queue, Kafka is based on an abstraction of a distributed commit log. You can add a new connector by sending a POST request to connectors endpoint of your Kafka Connect instance. This is the second blog in a series of pre-release blogs in preparation for Spring Cloud Stream 2. Kafka Mirroring Issue; Fwd: Issue in using kafka SimpleConsumer code; Keep on getting kafka. I am using email and slack notifiers. Kafka Manager (yahoo just open source it) They all work fine locally on my dev, but I am thinking to get it work out of box cause I just do not want to install them on my production server, how possible can I install all of them. Experience with automation/provisioning tools (GitHub, Docker, Jenkins and Terraform). It’s responsible for getting the changes from your database and publishing an event for each of them to Apache Kafka. Credit to the Spark project for tackling the issue of receiving contributions to an Apache project via GitHub pull requests. ISSUE-004), so the development wrt. It would be very helpful for us, if you could help test the Kafka Connect Neo4j Sink in real-world Kafka and Neo4j settings, and fill out our feedback survey. Kafka® is used for building real-time data pipelines and streaming apps. Kafka is a messaging system which provides an immutable, linearizable, sharded log of messages. This Week in Programming. If you run into any issues or have thoughts about improving our work, please raise a GitHub issue. enable": true`) or by calling `. We are adding support to subscript to all partitions by automatically detecting partition changes. For a summary of new features, fixed issues, and known issues, see the Release Notes for Splunk Connect for Kafka. This page should be read after Kafka's Contributing page. Try JIRA - bug tracking software for your team. We have kafka-ssl enabled in production. Maven, GitHub and AWS. Apache Kafka on HDInsight architecture. So far, we have been using the Java client for Kafka, and Kafka Streams. This means that the mirror maker's consumer will not attempt to decompress message-sets of compressed messages. In avro documentation they're using something. However, I have problems getting it to work. The Kafka Toolkit allows Streams applications to integrate with Apache Kafka. Kafka burrow keeps stops after running for a while. It is written in Scala and has been undergoing lots of changes. It will simply re-publish these messages as is. The minimum age of a log file to be eligible for deletion log. Kafka is written in Scala and Java. 2) replaces the previous method of committing offsets to Zookeeper. The first issue you will hit is that all your processing operations need to be Serializable. The reason for this is that it allows a small group of implementers who know the language of that client to quickly iterate on their code base on their own release cycle. In the graph below, you can see that GitHub interest has grown exponentially: Apache Kafka GitHub Stars Growth. hours to 24 hours. Information is provided 'as is' and solely for informational purposes, not for trading purposes or advice. Clone via HTTPS Clone with Git or checkout with SVN using the repository’s web address. 8 and beyond. Apache Kafka is a distributed publish-subscribe messaging system. For workshop I will present on microservices and communication patterns I need attendees to have their own local Kafka Cluster. This is the big picture of the architecture, the API Gateway is Kong, the Messaging Service Kafka and the Database per Service MongoDB. Fix issue with lost connection to Kafka when starting for the first time. If you are among those who would want to go beyond that and contribute to the open source project I explain in this article how you can set up a development environment to code, debug, and run Kafka. KSQL sits on top of Kafka Streams and so it inherits all of these problems and then some more. This can result in a large amount of historical data being read from the disk, putting a lot of pressure on the disk and affecting the performance of the kafka service, for example, the producer write latency will increase. We have kafka-ssl enabled in production. A Kafka Connect Elasticsearch connector to load data from Kafka to Elasticsearch. Like Tomcat, Cassandra, and other Java applications, both Kafka and ZooKeeper expose metrics on. Right, but that message is coming from the kafka client code so the issue is down there (or on the broker). This includes LinkedIn-internal release branches with patches for our production and feature requirements, and is the source of Kafka releases running in LinkedIn's production environment. Issues are probably the second most important part of GitHub. Apache Kafka is publish-subscribe messaging rethought as a distributed, partitioned, replicated commit log service. Introduction. GitHub Gist: instantly share code, notes, and snippets. If we click on the DETAILS button, we will see more information about this Kafka Docker such as: Dockerfile, build detail, guidelines, etc. The work is contributed to Kafka community in KIP-36 and. Download files. In the case of kafka_http_producer-0. It builds upon important stream processing concepts such as properly distinguishing between event time and processing time, windowing support, exactly-once processing semantics and simple yet efficient management of application state. The implementation leverages confluent-kafka which uses the awesome librdkafka library providing reliability and high performance. Learn more about IIoT automation with Apache Kafka, KSQL, and Apache PLC4X. Spring just sets up the producer for transactions. I'm now facing an issue converting Kafka's message record of type long for nano-seconds (19 digits) to a string timestamp with milliseconds. Quickstart. But I couldn't. Initially conceived as a messaging queue, Kafka is based on an abstraction of a distributed commit log. Kx technology is an integrated platform: kdb+, which includes a high-performance historical time-series column-store database, an in-memory compute engine, and a real-time event processor all with a unifying expressive query and programming language, q. The Event Hubs for Kafka feature provides a protocol head on top of Azure Event Hubs that is binary compatible with Kafka versions 1. Download files. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. The Kafka Toolkit allows Streams applications to integrate with Apache Kafka. 8, see JIRA issue KAFKA-732 ) Our recommendation is to enable shallow iteration in the mirror maker's consumer. Otherwise, Spark works just fine. An Azure Event Hubs Kafka endpoint enables you to connect to Azure Event Hubs using the Kafka protocol (that is, Kafka clients). Maven, GitHub and AWS. Perhaps if you add more logs (DEBUG of org. This quickstart shows how to stream into Kafka-enabled Event Hubs without changing your protocol clients or running your own clusters. Apache Kafka samples. Jun 19, 2017 · I have written a Kafka Producer in NodeJS and Kafka Consumer in Java Maven. Kafka will periodically truncate or compact logs is a partition to reclaim disk space. Issues preventing migration: Updating golang-github-optiopay-kafka introduces new bugs: #867775; Not built on buildd: arch all binaries uploaded by [email protected] In many applications where data is generated continuously, combining machine learning with streaming data is imperative to discover useful information in real time. This includes LinkedIn-internal release branches with patches for our production and feature requirements, and is the source of Kafka releases running in LinkedIn's production environment. High-level Consumer ¶ * Decide if you want to read messages and events from the `. It includes Python implementations of Kafka producers and consumers, which are optionally backed by a C extension built on librdkafka. Kafka Streams. Indeed, the client can now catch the SerializationException but the next call to Consumer#poll(long) will throw the same exception indefinitely. Get a stream of issues and pull requests for your chosen GitHub repository - simplesteph/kafka-connect-github-source. This Jira has been LDAP enabled, if you are an ASF Committer, please use your LDAP Credentials to login. How The Kafka Project Handles Clients. This tutorial shows how a Kafka-enabled event hub and Kafka MirrorMaker can integrate an existing Kafka pipeline into Azure by "mirroring" the Kafka input stream in the Event Hubs service. Package sarama is a pure Go client library for dealing with Apache Kafka (versions 0. A Comprehensive and Brand New Course for Learning Apache Kafka Connect Framework with Hands-on Training - (Launched in April 2017) Kafka Connect is a tool for scalable and reliable streaming data between Apache Kafka and other data systems. Next steps. In the use of the process if you encounter problems, you can contact the author. Package sarama is a pure Go client library for dealing with Apache Kafka (versions 0. hours to 24 hours. Clone via HTTPS Clone with Git or checkout with SVN using the repository’s web address. kafka-web-console 3. Hello everybody, I'm having troubles using KafkaConsumer 0. In general, kafka's original expansion mechanism has the following problems: 1. So far, we have been using the Java client for Kafka, and Kafka Streams. You can learn more about Event Hubs in the following articles: Event Hubs overview; Event. we wanted to debezium to connect to kafka only on SSL port, rather than non SSL port. The Apache Kafka connectors for Structured Streaming are packaged in Databricks Runtime. This Week in Programming. Producer: Hey, Broker 1, here's a great Kafka joke, make sure you friends all hear it too!. This quickstart shows how to stream into Kafka-enabled Event Hubs without changing your protocol clients or running your own clusters. I am using email and slack notifiers. Shallow iteration and producer compression (Kafka 0. KAFKA_LISTENERS is a comma-separated list of listeners, and the host/ip and port to which Kafka binds to on which to listen. Try free on any cloud or serverless. In the meanwhile, you can simply over-subscript partitions (e. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Kafka Streaming If event time is very relevant and latencies in the seconds range are completely unacceptable, Kafka should be your first choice. Thanks to the combination of: Kubernetes Minikube The Yolean/kubernetes-kafka GitHub Repo with Kubernetes yaml files that creates allRead More. RedMonk points out that Apache Kafka-related questions on StackOverflow, Apache Kafka trends on Google, and Kafka GitHub stars are all shooting up. GitHub Gist: instantly share code, notes, and snippets. I'm sure there are issues of scale or whatever where Kafka makes sense. When to use the toolkit. This includes LinkedIn-internal release branches with patches for our production and feature requirements, and is the source of Kafka releases running in LinkedIn's production environment. If you are among those who would want to go beyond that and contribute to the open source project I explain in this article how you can set up a development environment to code, debug, and run Kafka. Any problems email [email protected] syslogng_kafka provides a Python module for syslog-ng 3. com/ifwe/bruce) and need to test it with Kafka 0. This client also interacts with the server to allow groups of consumers to load bal. All gists Back to GitHub. Events()` channel (set `"go. kafka-python is designed to function much like the official java client, with a sprinkling of pythonic interfaces (e. hours=24; After several days, the kafka broker still cannot delete the old log file. Java/Kafka Engineer Supported Production issues and follow-up with. KSQL interacts directly with the Kafka Streams API, removing the requirement of building a Java app. After a bunch of tracking work, we've realized we've hit an. I attached a threaddump. kafka-python heartbeat issue. Maven, GitHub and AWS. After enhancing the deployment system to deploy a new set of Kubernetes resources to a Github-production namespace in parallel with existing front-end servers — and enhancing the Github Load Balancer to support routing staff requests to a different back-end based on a Flipper-influenced cookie — the team allowed GitHub staff to opt into an. IBM Event Streams builds upon the IBM Cloud Private platform to deploy Apache Kafka in a resilient and manageable way. path" property and re-arrange the way our current connectors are put into archives. 2 and newer. Contains the production of Offset, Lag changes, the distribution of Partition, Owner, Topic was created and the time and the time to modify the information. Welcome to Apache ZooKeeper™ Apache ZooKeeper is an effort to develop and maintain an open-source server which enables highly reliable distributed coordination. Issues preventing migration: Updating golang-github-optiopay-kafka introduces new bugs: #867775; Not built on buildd: arch all binaries uploaded by [email protected] Using Kafka Connect you can use existing connector implementations for common data sources and sinks to move data into and out of Kafka. KIP-41: Discussed whether the issue of long processing time between poll calls is a common issue and whether we should revisit the poll api. In this session, we are going to explore Kafka Partitioner. Posted 1 week ago. Contribute to Jroland/kafka-net development by creating an account on GitHub. In order to do that we need to have keystore and truststore. This Jira has been LDAP enabled, if you are an ASF Committer, please use your LDAP Credentials to login. You can add a new connector by sending a POST request to connectors endpoint of your Kafka Connect instance. 4+, and PyPy, and supports versions of Kafka 0. Connections to your Kafka cluster are persisted so you don't need to memorize or enter them every time. It supports industry standard protocols so users get the benefits of client choices across a broad range of languages and platforms. Use this only if you don't care about guarantees of // whether the messages were written to kafka. Actively Seeking for New Contract positions on Java/Kafka Engineer Please reach me @ 210-399-9132. What is the issue? Deploy Kafka cluster on kubrernetes from an external client, you need to access through the Service. If you want to complete load balancing, you need to know the partition mechanism of Kafka. I am Long Nguyen from FPT University, Vietnam. This is because Spark will not only store the state (Kafka offsets) but also serialize your DStream operations. 05/06/2019; 2 minutes to read +9; In this article. Kafka Connect now supports incremental cooperative rebalancing. , dynamic partition assignment to multiple consumers in the same group - requires use of 0. Here is a summary of some notable changes: There have been several improvements to the Kafka Connect REST API. One of the main features of the release is Kafka Streams, a library for transforming and combining data streams which live in Kafka. Solutions to Communication Problems in Microservices using Apache Kafka and Kafka Lens. This Confluence has been LDAP enabled, if you are an ASF Committer, please use your LDAP Credentials to login. Kafka Streaming If event time is very relevant and latencies in the seconds range are completely unacceptable, Kafka should be your first choice. Clusters and brokers have to scale up and down. This framework opens the door for various optimization techniques from the existing data stream management system (DSMS) and data stream processing literature. In an earlier post I provided step-by-step instructions to set up eclipse for Apache Kafka development and code contribution. arrived when they thrust the stone into the earth and it stood as if cemented there» («A Dream»). Kafka burrow keeps stops after running for a while. The connectors themselves for different applications or data systems are federated and maintained separately from the main code base. Try JIRA - bug tracking software for your team. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. 7900 Westpark Drive (12131), United States of America, McLean, VirginiaAt Capital One, we’re…See this and similar jobs on LinkedIn. KAFKA_LISTENERS is a comma-separated list of listeners, and the host/ip and port to which Kafka binds to on which to listen. Package sarama is a pure Go client library for dealing with Apache Kafka (versions 0. We also see the source of this Kafka Docker on the Ches Github. An Azure Event Hubs Kafka endpoint enables you to connect to Azure Event Hubs using the Kafka protocol (that is, Kafka clients). Kafka is an incredibly powerful service that can help you process huge streams of data. This client also interacts with the server to allow groups of consumers to load bal. Native C# client for Kafka queue servers. 3#76005-sha1:8a4e38d) About JIRA; Report a problem; Powered by a free Atlassian JIRA open source license for Apache Software Foundation. Actively Seeking for New Contract positions on Java/Kafka Engineer Please reach me @ 210-399-9132. The team is investigating ways that we can monitor Zookeeper-committed offsets without needing to continually iterate over the Zookeeper tree. This time, we are going to use Spark Structured Streaming (the counterpart of Spark Streaming that provides a Dataframe API). This Jira has been LDAP enabled, if you are an ASF Committer, please use your LDAP Credentials to login. PyKafka is a programmer-friendly Kafka client for Python. In the graph below, you can see that GitHub interest has grown exponentially: Apache Kafka GitHub Stars Growth. kafka ) someone might be able to help. Experience with DevOps practices (CICD, Automated Release Management. My Consumer class doesn't consumer messages properly. It is built on top of Akka Streams, and has been designed from the ground up to understand streaming natively and provide a DSL for reactive and stream-oriented programming, with built-in support for backpressure. Kafka isn’t a database. Attachments. 2) replaces the previous method of committing offsets to Zookeeper. The Kafka Project «Two men were standing behind the grave and were holding a tombstone between them in the air; scarcely had K. The other requirement is to be able to run multiple instances of this consumer. It can be NodePorts, LoadBalancer, or ingress controller. Experience with Jira, Confluence, ServiceNow, SharePoint. Kafka Streams is a client library for processing and analyzing data stored in Kafka. Native C# client for Kafka queue servers. Learn how Kafka works, how the Kafka Streams library can be used with a High-level stream DSL or Processor API, and where the problems with Kafka Streams lie. reporter" which sends JMX metrics to a remote system until the Kafka broker and the reporter are shutdown. In order to do that we need to have keystore and truststore. You can learn more about Event Hubs in the following articles: Event Hubs overview; Event. 9+), but is backwards-compatible with older versions (to 0. Kafka Streams takes care of the issue in a different way. We've been tracking an issue where Kafka hits an java. Posted 7 months ago. Some features will only be enabled on newer brokers. Contribute to Jroland/kafka-net development by creating an account on GitHub. Simplified embedded kafka configuration when using Spring Boot Support for custom correlation and reply-to headers in ReplyingKafkaTemplate Documentation improvements. This article covers the architecture model, features and characteristics of Kafka framework and how it compares with traditional. Experience with Jira, Confluence, ServiceNow, SharePoint. 0 with Scala 2. 9+ kafka brokers. Experience with DevOps practices (CICD, Automated Release Management. Any problems email [email protected] First you should know that open issues are green and closed issues are red. io : This page is a summary to keep the track of Hadoop related project, and relevant projects around Big Data scene focused on the open source, free software enviroment. This is a post in 3 parts in which I explain how we started a project on Kafka Streams, and why we had to stop using this library because it had a scalability issue. Credit to the Spark project for tackling the issue of receiving contributions to an Apache project via GitHub pull requests. This makes impossible to use ipc. home introduction quickstart use cases documentation getting started APIs kafka streams kafka connect configuration design implementation operations security. This post is part 2 of a 3-part series about monitoring Apache Kafka performance. Apache Kafka is publish-subscribe based fault tolerant messaging system. This includes LinkedIn-internal release branches with patches for our production and feature requirements, and is the source of Kafka releases running in LinkedIn's production environment. kafka-python is best used with newer brokers (0. One of the main features of the release is Kafka Streams, a library for transforming and combining data streams which live in Kafka. Kafka is an incredibly powerful service that can help you process huge streams of data. With more experience across more production customers, for more use cases, Cloudera is the leader in Kafka support so you can focus on results. Any problems file an INFRA jira ticket please. Apache Kafka on Heroku is an add-on that provides Kafka as a service with full integration into the Heroku platform. kafka-python is best used with newer brokers (0. hours=24; After several days, the kafka broker still cannot delete the old log file. Kafka Streams. 2 and newer. After downgrading to 0. Async bool // CompressionCodec set the codec to be used to compress Kafka messages. Kafka Streaming If event time is very relevant and latencies in the seconds range are completely unacceptable, Kafka should be your first choice. Spring Cloud Stream 2. problems, and solutions. The team is investigating ways that we can monitor Zookeeper-committed offsets without needing to continually iterate over the Zookeeper tree. Next steps. Thanks to KAFKA-3977, this has been partially fixed in 0. Mirror of Apache Kafka. 10+ and the kafka08 connector to connect to Kafka 0. IBM Event Streams builds upon the IBM Cloud Private platform to deploy Apache Kafka in a resilient and manageable way. I tried changing configuration multiple times but it always dies after 3-4 hours. In the last Jepsen post, we learned about NuoDB. Learn by doing, working with GitHub Learning Lab bot to complete tasks and level up one step at a time. The connector connects your database with Apache Kafka. Some features will only be enabled on newer brokers. Kafka/zookeeper shutdown issue. In many applications where data is generated continuously, combining machine learning with streaming data is imperative to discover useful information in real time. In an earlier blog post I described steps to run, experiment, and have fun with Apache Kafka. Producers write data to topics and consumers read from topics. 0, the broker was stable. For more complex networking this might be an IP address associated with a given network interface on a machine. 7900 Westpark Drive (12131), United States of America, McLean, VirginiaAt Capital One, we’re…See this and similar jobs on LinkedIn. It implements no JUnit Jupiter extension for JUnit 5. It is true, as many people have pointed out in the comments, that my primary problem was the lack of a good Kafka client for. kafka ) someone might be able to help. This post is part 2 of a 3-part series about monitoring Apache Kafka performance. Kafka bindings for Haskell backed by the librdkafka C module. Producer: Hey, Broker 1, here's a great Kafka joke, make sure you friends all hear it too!. You may start using the Kafka endpoint from your applications with no code change but a minimal configuration change. Hello everybody, I'm having troubles using KafkaConsumer 0. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Posted 7 months ago. Therefore, in August 2017, we open sourced Kafka Cruise Control to handle the large-scale operational challenges with running Kafka. log for debugging purposes, or to track real problems. It builds upon important stream processing concepts such as properly distinguishing between event time and processing time, windowing support, exactly-once processing semantics and simple yet efficient management of application state. The following diagram shows a typical Kafka configuration that uses consumer groups, partitioning, and replication to offer parallel reading of events with fault tolerance: Apache ZooKeeper manages the state of the Kafka cluster. Atlassian JIRA Project Management Software (v7. My topic is "test" which was created by the following command: bin/kafka-topics. Image credit: RedMonk. kafka-python¶ Python client for the Apache Kafka distributed stream processing system. This time, we are going to use Spark Structured Streaming (the counterpart of Spark Streaming that provides a Dataframe API). For older versions of Kafka or if the above does not fully resolve the issue: The problem can also be caused by setting the value for poll_timeout_ms too low relative to the rate at which the Kafka Brokers receive events themselves (or if Brokers periodically idle between receiving bursts of events). View Amanda Lin’s profile on LinkedIn, the world's largest professional community. When to use the toolkit. Learn by doing, working with GitHub Learning Lab bot to complete tasks and level up one step at a time. KIP-41: Discussed whether the issue of long processing time between poll calls is a common issue and whether we should revisit the poll api. We'd have to adapt the set-up a bit to make use of the new "plugin. 8 and later). 0 includes a number of significant new features. In the use of the process if you encounter problems, you can contact the author. Thanks to the combination of: Kubernetes Minikube The Yolean/kubernetes-kafka GitHub Repo with Kubernetes yaml files that creates allRead More. For example, fully coordinated consumer groups - i. What is ZooKeeper? ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. It's supposed to push this data to HDFS as it is without code generation. CDH 6 includes Apache Kafka as part of the core package. It's responsible for getting the changes from your database and publishing an event for each of them to Apache Kafka. Message) (Producer): value is a Python function reference that is called once for each produced message to indicate the final delivery result (success or failure). IBM Event Streams builds upon the IBM Cloud Private platform to deploy Apache Kafka in a resilient and manageable way. Contribute to apache/kafka development by creating an account on GitHub. All those structures implement Client, Consumer and Producer interface, that is also implemented in kafkatest package. 9+ kafka brokers. Kafka Streams is a client library for processing and analyzing data stored in Kafka. You can use Kafka for JUnit with JUnit 5 of course. When to use the toolkit. All those structures implement Client, Consumer and Producer interface, that is also implemented in kafkatest package. This time, we are going to use Spark Structured Streaming (the counterpart of Spark Streaming that provides a Dataframe API). So far, we have been using the Java client for Kafka, and Kafka Streams. Any problems email [email protected] This is because Spark will not only store the state (Kafka offsets) but also serialize your DStream operations. id with the Kafka cluster. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Any problems file an INFRA jira ticket please. Producer: Hey, Broker 1, here's a great Kafka joke, make sure you friends all hear it too!. Apache Kafka on Heroku is an add-on that provides Kafka as a service with full integration into the Heroku platform. hw-kafka-client. kafka-python aims to replicate the java client api exactly. This post is part 2 of a 3-part series about monitoring Apache Kafka performance. 1 with Scala 2. Kx technology is an integrated platform: kdb+, which includes a high-performance historical time-series column-store database, an in-memory compute engine, and a real-time event processor all with a unifying expressive query and programming language, q. Apache Kafka is a community distributed event streaming platform capable of handling trillions of events a day. , consumer iterators). I've injected Kafka with a "kafka. Apache Kafka was originated at LinkedIn and later became an open sourced Apache project in 2011, then First-class Apache project in 2012. The implementation leverages confluent-kafka which uses the awesome librdkafka library providing reliability and high performance. Welcome to Apache ZooKeeper™ Apache ZooKeeper is an effort to develop and maintain an open-source server which enables highly reliable distributed coordination. How The Kafka Project Handles Clients. We tested it in windows environment, and set the log. The documentation includes improved contents for how to set up, install, and administer your Kafka ecosystem. The Kafka Project «Two men were standing behind the grave and were holding a tombstone between them in the air; scarcely had K. With a standard Kafka setup, any user or application can. 0 with Scala 2. Initially conceived as a messaging queue, Kafka is based on an abstraction of a distributed commit log. Operators must take the properties of the ZK cluster into account when reasoning about the availability of any Kafka system, both in terms of resource consumption and design. In the fifth and final part of this series, we will look at exposing Apache Kafka in Strimzi using Kubernetes Ingress. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. The Spark streaming job fails if the Kafka stream compression is turned on. I am Long Nguyen from FPT University, Vietnam. GitHub Gist: instantly share code, notes, and snippets. In this session, we are going to explore Kafka Partitioner. I'm now facing an issue converting Kafka's message record of type long for nano-seconds (19 digits) to a string timestamp with milliseconds. 7) (N/A for Kafka 0. If you want to complete load balancing, you need to know the partition mechanism of Kafka.