The Apache ZooKeeper community supports two release branches at a time: stable and current. The stable version of ZooKeeper is 3.8.x and the current version is 3.9.x. Once a new minor version is released, the stable version is expected to be decommissioned soon and in approximately half a year will be announced as End-of-Life. During the half year grace period only security and critical fixes are expected to be released for the version. After EoL is announced no further patches are provided by the community. All ZooKeeper releases will remain accessible from the official Apache Archives.
ZooKeeper clients from 3.5.x onwards are fully compatible with 3.9.x servers.
The upgrade from 3.7.x and 3.8.x can be executed as usual, no particular additional upgrade procedure is needed.
ZooKeeper 3.9.x clients are compatible with 3.5.x, 3.6.x, 3.7.x and 3.8.x servers as long as you are not using new APIs not present these versions.
Zookeeper Latest Version Download
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Latest released version of Apache ZooKeeper 3.6 (currently 3.6.4) will be available on the download page for another year (until 30th of December, 2023), after that it will be accessible among other historical versions from Apache Archives.
Latest released version of Apache ZooKeeper 3.5 (currently 3.5.9) will be available on the download page for another year (until 1st of June, 2023), after that it will be accessible among other historical versions from Apache Archives.
ZooKeeper clients from 3.5.x onwards are fully compatible with 3.8.x servers.
The upgrade from 3.6.x and 3.7.x can be executed as usual, no particular additional upgrade procedure is needed.
ZooKeeper 3.8.x clients are compatible with 3.5.x, 3.6.x and 3.7.x servers as long as you are not using new APIs not present these versions.
ZooKeeper clients from the 3.5 and 3.6 branches are fully compatible with 3.7 servers.
The upgrade from 3.6.x to 3.7.0 can be executed as usual, no particular additional upgrade procedure is needed.
ZooKeeper 3.7.0 clients are compatible with 3.5 and 3.6 servers as long as you are not using new APIs not present these versions.
This is a bugfix release for 3.5 branch.
It fixes 24 issues, including third party CVE fixes, several leader-election related fixes and a compatibility issue with applications built against earlier 3.5 client libraries (by restoring a few non public APIs).
This is the second release for 3.6 branch.
It is a bugfix release and it fixes a few compatibility issues with applications built for ZooKeeper 3.5. The upgrade from 3.5.7 to 3.6.1 can be executed as usual, no particular additional upgrade procedure is needed. ZooKeeper 3.6.1 clients are compatible with 3.5 servers as long as you are not using new APIs not present in 3.5.
This is the first release for 3.6 branch.
It comes with lots of new features and improvements around performance and security. It is also introducing new APIS on the client side.
ZooKeeper clients from 3.4 and 3.5 branch are fully compatible with 3.6 servers. The upgrade from 3.5.7 to 3.6.0 can be executed as usual, no particular additional upgrade procedure is needed. ZooKeeper 3.6.0 clients are compatible with 3.5 servers as long as you are not using new APIs not present in 3.5.
First stable version of 3.5 branch. This release is considered to be the successor of 3.4 stable branch and recommended for production use.
It contains 950 commits, resolves 744 issues, fixes 470 bugs and includes the following new features:
This is a bugfix release. It fixes 8 issues, mostly build / unit tests issues, dependency updates flagged by OWASP, NPE and a name resolution problem. Among these it also supports experimental Maven build and Markdown based documentation generation. See ZooKeeper 3.4.14 Release Notes for details.
This is a bugfix release. It fixes 17 issues, including issues such as ZOOKEEPER-2959 that could cause data loss when observer is used, and ZOOKEEPER-2184 that prevents ZooKeeper Java clients working in dynamic IP (container / cloud) environment. See ZooKeeper 3.4.13 Release Notes for details.
Release 3.5.3 added a new feature ZOOKEEPER-2169 "Enable creation of nodes with TTLs". There was a major oversight when TTL nodes were implemented. The session ID generator for each server is seeded with the configured Server ID in the high byte. TTL Nodes were using the highest bit to denote a TTL node when used in the ephemeral owner. This meant that Server IDs > 127 that created ephemeral nodes would have those nodes always considered TTL nodes (with the TTL being essentially a random number). ZOOKEEPER-2901 fixes the issue. By default TTL is disabled and must now be enabled in zoo.cfg. When TTL Nodes are enabled, the max Server ID changes from 255 to 254. See the documentation for TTL in the administrator guide (or the referenced JIRAs) for more details.
WARNING: ZOOKEEPER-2960 was recently identified as a regression in 3.4.11 affecting the specification of separate dataDir and dataLogDir configuration parameters (vs the default which is a single directory for both). It will be addressed in 3.4.12.
3.5.3-beta is the first beta in the planned 3.5 release line leading up to a stable 3.5 release. It comprises 76 bug fixes and improvements. This release includes important security fix around dynamic reconfigure API, improvements on test infrastructure, and new features such as TTL node.
I recently installed a new ZK node w/ Exhibitor, it started fine. When I do a telnet localhost 2181 and then run a stats to see the version, even though I installed 3.4.11, I keep seeing 3.4.5 build in the output. I tried to find where does ZooKeeper read the version number but it's just a .jar and some lib files. Do you know where can I get the "real" version I'm supposed to be running? Thanks!
The AdminServerNew in 3.5.0: The AdminServer is an embedded Jetty server that provides an HTTP interface to the four letter word commands. By default, the server is started on port 8080, and commands are issued by going to the URL "/commands/[command name]", e.g., :8080/commands/stat
Example:
This '52.0' means that it's compiled with 1.8 jdk, but you are triying to run mainly with lower one (or even very high incompatible?).By default use the JAVA_HOME environment variable, so hope you already checked the basics: java_home, java --version... or even force an export of java_home just before running pointing a proper 32/64 java
Event streaming is the digital equivalent of the human body's central nervous system. It is the technological foundation for the 'always-on' world where businesses are increasingly software-defined and automated, and where the user of software is more software.
Technically speaking, event streaming is the practice of capturing data in real-time from event sources like databases, sensors, mobile devices, cloud services, and software applications in the form of streams of events; storing these event streams durably for later retrieval; manipulating, processing, and reacting to the event streams in real-time as well as retrospectively; and routing the event streams to different destination technologies as needed. Event streaming thus ensures a continuous flow and interpretation of data so that the right information is at the right place, at the right time.
And all this functionality is provided in a distributed, highly scalable, elastic, fault-tolerant, and secure manner. Kafka can be deployed on bare-metal hardware, virtual machines, and containers, and on-premises as well as in the cloud. You can choose between self-managing your Kafka environments and using fully managed services offered by a variety of vendors.
Kafka is a distributed system consisting of servers and clients that communicate via a high-performance TCP network protocol. It can be deployed on bare-metal hardware, virtual machines, and containers in on-premise as well as cloud environments.
Servers: Kafka is run as a cluster of one or more servers that can span multiple datacenters or cloud regions. Some of these servers form the storage layer, called the brokers. Other servers run Kafka Connect to continuously import and export data as event streams to integrate Kafka with your existing systems such as relational databases as well as other Kafka clusters. To let you implement mission-critical use cases, a Kafka cluster is highly scalable and fault-tolerant: if any of its servers fails, the other servers will take over their work to ensure continuous operations without any data loss.
Clients: They allow you to write distributed applications and microservices that read, write, and process streams of events in parallel, at scale, and in a fault-tolerant manner even in the case of network problems or machine failures. Kafka ships with some such clients included, which are augmented by dozens of clients provided by the Kafka community: clients are available for Java and Scala including the higher-level Kafka Streams library, for Go, Python, C/C++, and many other programming languages as well as REST APIs.
An event records the fact that "something happened" in the world or in your business. It is also called record or message in the documentation. When you read or write data to Kafka, you do this in the form of events. Conceptually, an event has a key, value, timestamp, and optional metadata headers. Here's an example event:
Producers are those client applications that publish (write) events to Kafka, and consumers are those that subscribe to (read and process) these events. In Kafka, producers and consumers are fully decoupled and agnostic of each other, which is a key design element to achieve the high scalability that Kafka is known for. For example, producers never need to wait for consumers. Kafka provides various guarantees such as the ability to process events exactly-once. 152ee80cbc
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