Confluent Platform 2.0.0 Release Notes¶
This release is a major release that provides Confluent users with Apache Kafka 0.9.0.0, the latest stable version of Kafka plus selected bug fixes and improvements. In addition this release includes updates to other components of the Confluent platform. Confluent users are encouraged to upgrade to CP 2.0.0 as it includes many important new features (including support for authentication and encryption) as well as numerous bug fixes. The technical details of this release are summarized in the What’s New section below.
What’s New in CP 2.0.0?¶
This CP release includes the upgrade of Apache Kafka to 0.9.0.0, which is the latest stable release of Kafka.
This release includes three key security features built directly within Kafka itself. First we now authenticate users using either Kerberos or TLS client certificates, so we now know who is making each request to Kafka. Second we have added a unix-like permissions system (ACLs) to control which users can access which data. Third, we support encryption on the wire using TLS to protect sensitive data on an untrusted network.
For more information on security features and how to enable them, see Kafka Security.
Kafka Connect facilitates large-scale, real-time data import and export for Kafka. It abstracts away common problems that each such data integration tool needs to solve to be viable for 24x7 production environments: fault tolerance, partitioning, offset management and delivery semantics, operations, and monitoring. It offers the capability to run a pool of processes that host a large number of Kafka connectors while handling load balancing and fault tolerance.
Confluent Platform includes a file connector for importing data from text files or exporting to text files, JDBC connector for importing data from relational databases and an HDFS connector for exporting data to HDFS / Hive in Avro and Parquet formats.
To learn more about Kafka Connect and the available connectors, see Kafka Connect.
User Defined Quotas¶
Confluent Platform 2.0.0 and Kafka 0.9 now support user-defined quotas. Users have the ability to enforce quotas on a per-client basis. Producer-side quotas are defined in terms of bytes written per second per client id while consumer quotas are defined in terms of bytes read per second per client id.
Learn more about user defined quotas in the Enforcing Client Quotas section of the post-deployment documentation.
This release introduces beta support for the newly redesigned consumer client. At a high level, the primary difference in the new consumer is that it removes the distinction between the “high-level” ZooKeeper-based consumer and the “low-level” SimpleConsumer APIs, and instead offers a unified consumer API.
The new consumer allows the use of the group management facility (like the older high-level consumer) while still offering better control over offset commits at the partition level (like the older low-level consumer). It offers pluggable partition assignment amongst the members of a consumer group and ships with several assignment strategies. This completes a series of projects done in the last few years to fully decouple Kafka clients from Zookeeper, thus entirely removing the consumer client’s dependency on ZooKeeper.
New Client Library - librdkafka¶
In this release of the Confluent Platform we are packaging librdkafka. librdkafka is a C/C++ library implementation of the Apache Kafka protocol, containing both Producer and Consumer support. It was designed with message delivery reliability and high performance in mind, current figures exceed 800000 msgs/second for the producer and 3 million msgs/second for the consumer.
You can learn how to use librdkafka side-by-side with the Java clients in our Kafka Clients documentation.
Proactive Support is a component of the Confluent Platform that improves Confluent’s support for the platform by collecting and reporting support metrics (“Metrics”) to Confluent. Proactive Support is enabled by default in the Confluent Platform. We do this to provide proactive support to our customers, to help us build better products, to help customers comply with support contracts, and to help guide our marketing efforts. With Metrics enabled, a Kafka broker is configured to collect and report certain broker and cluster metadata (“Metadata”) every 24 hours about your use of the Confluent Platform (including without limitation, your remote internet protocol address) to Confluent, Inc. (“Confluent”) or its parent, subsidiaries, affiliates or service providers.
- Kafka 0.9 no longer supports Java 6 or Scala 2.9. If you are still on Java 6, consider upgrading to a supported version.
- Configuration parameter replica.lag.max.messages was removed. Partition leaders will no longer consider the number of lagging messages when deciding which replicas are in sync.
- Configuration parameter replica.lag.time.max.ms now refers not just to the time passed since last fetch request from replica, but also to time since the replica last caught up. Replicas that are still fetching messages from leaders but did not catch up to the latest messages in replica.lag.time.max.ms will be considered out of sync.
- MirroMaker no longer supports multiple target clusters. As a result it will only accept a single --consumer.config parameter. To mirror multiple source clusters, you will need at least one MirrorMaker instance per source cluster, each with its own consumer configuration.
- Broker IDs above 1000 are now reserved by default to automatically assigned broker IDs. If your cluster has existing broker IDs above that threshold make sure to increase the reserved.broker.max.id broker configuration property accordingly.
How to Download¶
To upgrade Confluent Platform from 1.0.0 or 1.0.1 to 2.0.0, check the Upgrade documentation.