Re: Kafka Tool For Mac
Denna Repaci
kafka tool is most likely using the hostname to connect to the broker and cannot reach it. You maybe connecting to the zookeeper host by IP address but make sure you can connect/ping the host name of the broker from the machine running the kafka tool.
In my case, I got to know when I used Kafkatool from my local machine, tool tris to find out Kafka broker port which was blocked from my cluster admins for my local machine, that is the reason I was not able to connect.
Apache Kafka provides a suite of command-line interface (CLI) tools that can be accessed from the /bin directoryafter downloading and extracting the Kafka files. These tools offer a range of capabilities, including startingand stopping Kafka, managing topics, and handling partitions. To learn how to use each tool,simply run it with no argument or use the --help argument for detailed instructions.
Use the kafka-server-start tool to start a Kafka server. You must pass the path to the properties file you want to use.If you are using ZooKeeper for metadata management, you must start ZooKeeper first.For KRaft mode, first generate a cluster ID and store it in the properties file.For an example of how to start Kafka, see the Kafka quickstart.
Use the zookeeper-server-start tool to start the ZooKeeper server. ZooKeeper is the default method for metadata management for Kafka versions prior to 3.4.To run this tool, you must pass the path to theZooKeeper properties file. For an example of how to use this tool, see the Kafka quickstart .
Use the kafka-storage tool to generate a Cluster UUID and format storage with the generated UUID when running Kafka in KRaft mode.You must explicitly create a cluster ID for a KRaft cluster, and format the storage specifying that ID.
Use the kafka-features tool to manage feature flags to disable or enable functionality at runtime in Kafka.Pass the describe argument to describe the current active feature flags, upgrade to upgrade oneor more feature flags, downgrade to downgrade one or more, and disable to disableone or more feature flags, which is the same as downgrading the version to zero.
Use the kafka-metadata-quorum tool to query the metadata quorum status. This tool is useful when you are debugging a cluster in KRaft mode.Pass the describe command to describe the current state of the metadata quorum.
Use the kafka-configs tool to change and describe topic, client, user, broker, or IP configuration settings.To change a property, specify the entity-type to the desired entity (topic, broker, user, etc), and use thealter option. The following example shows how you might add the delete.retention configuration property for a topic with kafka-configs.
Use the kafka-reassign-partitions to move topic partitions between replicasYou pass a JSON-formatted file to specify the new replicas. To learn more,see Changing the replication factorin the Confluent documentation.
Use the kafka-delete-records tool to delete partition records. Use this if a topic receives bad data.Pass a JSON-formatted file that specifies the topic, partition, and offset for data deletion. Data will be deleted up to the offset specified.Example:
Use the kafka-replica-verification tool to verify that all replicas of a topic contain the same data.Requires a broker-list parameter that contains a comma-separated list of entries specifying the server/port to connect to.
DEPRECATED: For an alternative, see connect-mirror-maker.sh. Enables the creation of a replica of an existing Kafka cluster.Example: bin/connect-mirror-maker.sh connect-mirror-maker.properties --clusters secondary.Learn more Kafka mirroring
Use the connect-mirror-maker tool to replicate topics from one cluster to another using the Connect framework.You must pass an an mm2.properties MM2 configuration file. For more information, seeKIP-382: MirrorMaker 2.0or Getting up to speed with MirrorMaker 2.
The kafka-verifiable-consumer tool consumes messages from a topic and emits consumer events as JSON objects to STDOUT. For example, group rebalances, received messages, and offsets committed.Intended for internal testing.
The kafka-verifiable-producer tool produces increasing integers to the specified topic and prints JSON metadata to STDOUT on each send request.This tool shows which messages have been acked and which have not. This tool is intended for internal testing.
Use the kafka-console-producer tool to produce records to a topic.Requires a bootstrap-server parameter that contains a comma-separated list of entries specifying the server/port to connect to.Example:
Use the connect-distributed tool to run Connect workers in Distributed mode, meaning on multiple, distributed, machines.Distributed mode handles automatic balancing of work, allows you to scale up(or down) dynamically, and offers fault tolerance both in the active tasks and for configuration and offset commit data.
Use the connect-standalone tool to run Kafka Connect in standalone mode meaning all work is performed in a single process. This is good forgetting started but lacks fault tolerance.For more information, see Kafka Connect
Use the kafka-acls tool to add, remove and list ACLs. For example, if you wanted toadd two principal users, Jose and Jane to have read and write permissions onthe user topic from specific IP addresses, you could use a command like the following:
Use the kafka-delegation-tokens tool to create, renew, expire and describe delegation tokens. Delegation tokensare shared secrets between Kafka brokers and clients, and are a lightweight authentication mechanism meant to complementexisting SASL/SSL methods.For more information, see Authentication using Delegation Tokens in theConfluent Documentation.
The kafka-e2e-latency tool is a performance testing tool used to measure end-to-end latency in Kafka.It works by sending messages to a Kafka topic and then consuming those messages from a Kafka consumer.The tool calculates the time difference between when a message was produced and when it was consumed,giving you an idea of the end-to-end latency for your Kafka cluster. This tool is useful for testing theperformance of your Kafka cluster and identifying any bottlenecks or issues that may be affecting latency.
The kafka-dump-log tool can be used in KRaft mode to parse a metadata log file and output its contents to the console.Requires a comma-separated list of log files. The tool will scan the provided files and decode the metadata records.
Kafka Magic is a GUI tool - topic viewer for working with Apache Kafka clusters. It can find and display messages, transform and move messages between topics, review and update schemas, manage topics, and automate complex tasks.
I Installed kafkatools from in Ubuntu 18.04. The Installation is OK, but when I clicked on it, it does nothing. I installed multiple times on different devices, but I really don't have any idea what is happening.
Kafka is a distributed streaming platform. It is useful for building real-time streaming data pipelines to get data between the systems or applications. Another useful feature is real-time streaming applications that can transform streams of data or react on a stream of data. This answer will help you to install Apache Kafka on Ubuntu 16.04 and later.
Apache Kafka required Java to run. You must have Java installed on your system. Execute the below command to install default OpenJDK on your system from the official Ubuntu repositories. You can also install the specific version of from here.
The "producer" is the process responsible for putting data into our Kafka. Kafka comes with a command-line client that will take input from a file or from standard input and send it out as messages to the Kafka cluster. The default Kafka sends each line as a separate message.
Now If you have still running Kafka producer (Step 6) in another terminal, just type some text on that producer terminal. It will immediately be visible on consumer terminal. See the below screenshot of Kafka producer and consumer working:
One more which is the only one that covers the whole Kafka API as far as I know: GitHub - twmb/kcl: Your one stop shop to do anything with Kafka. Producing, consuming, transacting, administrating; 0.8.0 through 3.2+
Hi @rmoff within the project KNet there is the tool KNetCLI. It is available in NuGet as a dotnet tool package ( NuGet Gallery MASES.KNetCLI 1.3.1): it replicates all shell commands available in Apache Kafka (see KNetCLI for a simple explanation).
For example, it became useful to us to increase partition count of existing topics. Doing it through Confluent UI is currently impossible, and doing it through Kafka .sh scripts looked too difficult. So we made a short shell script that does it by running kafkactl in Docker.
kafkacat is a fast and flexible command line Kafka producer, consumer, and more. Magnus Edenhill, the author of the librdkafka C/C++ library for Kafka, developed it. kafkacat is great for quickly producing and consuming data to and from a topic. In fact, the same command will do both, depending on the context. Check this out:
Note that piping data from stdout to kafkacat, as we did above, will spin up a producer, send the data, and then shut the producer down. To start a producer and leave it running to continue sending data, use the -P flag, as suggested by the auto-selecting message above.
7fc3f7cf58