There can be at most 5 concurrent readers on a partition per consumer group; however it is recommended that there is only one active receiver on a partition. In the config they are referred to by group. 10 [Optional] Group ID to use while reading from Kafka. It includes the following payload:. Kafka's automatic partition assignment will ensure that every ticker code is handled by (at most) one consumer in its group. There are many other resetting options, run kafka-consumer-groups for details. * Have knowledge on partition of Kafka messages and setting up the replication factors in Kafka Cluster. As with publish-subscribe, Kafka allows you to broadcast messages to multiple consumer groups. It relies on the fact that each consumer in the group sends its subscribed topics and also its current assignment when a rebalance occurs. # bin/kafka-consumer-groups. Let me quickly recap both things. Kafka has two built-in consumer to partition assignment strategies; assign or subscribe. If None, auto-partition as-. ConsumerOffsetChecker -zkconnect localhost:2181 -group test. The Kafka documentation talks about consumer groups having “group names”. A process that manages membership in a Kafka consumer group. sh --generate to generate an assignment plan assignment. Cluster) - The cluster to which this consumer should connect; consumer_group (str) - The name of the consumer group this consumer should join. The SWOT partition is a strategic chaffering intentning hireling that is regularly used to aid each assembly comprehend and analyse its abilitys and languores, fulfill the browbeatings of other professiones and the multitudinous opportunities in the chaffer deal-out. A Tool to manage Apache Kafka -Yahoo Kafka Manager. If the consumer thread fails then its partitions are reassigned to the alive thread. 每个consumer将自己标记consumer group名称,之后系统会将consumer group按名称分组,将消息复制并分发给所有分组,每个分组只有一个consumer能消费这条消息。 于是推理出两个极端情况:. reset property, to know if it needs to start from earliest or latest. ConsumerGroup models a Kafka consumer group. Why consumer group? Allows you to parallel process a topic. Afterward, we will learn Kafka Consumer Group. info " Leaving group ` #{@group_id} ` " # Having a generation id indicates that we're a member of the group. Kafka: Consumer Group Rebalancing. Consider the following Kafka inbound configurations (KafkaInboundEP1 and KafkaInboundEP2). Chad is an IT professional with over 10 years of experience in the IT field. High-level consumer. Consumer Offset Checker − This tool displays Consumer Group, Topic, Partitions, Off-set, logSize, Owner for the specified set of Topics and Consumer Group. strategy: Not really needed in most of the use cases. The class name of the partition assignment strategy that the client will use to distribute partition ownership amongst consumer instances when group management is used. Apache Kafka is a streams messaging platform built to handle high volumes of data very quickly. We have two consumer groups, A and B. kafka-python is best used with newer brokers (0. Hi kafkalearners, This material is going to show you how to install multibroker kafka cluster. But if you created a new consumer or stream using Java API it. When a microservice instance joins the consumer group, Kafka will reassign some of the partitions to it. 1 for MapR-ES provides a RESTful interface to MapR-ES clusters to consume and produce messages and to perform administrative operations. type kafka-console-consumer. configuration. 消费者端接收消息如下:. assignments - the new assignments and their current offsets. Each partition of topic is assigned to only one member in the group. | More details about consumer configuration can be found in the scala class kafka. As with publish-subscribe, Kafka allows you to broadcast messages to multiple consumer groups. In summary, using the required StreamsConfig. On the client side, we recommend monitor the message/byte rate (global and per topic), request rate/size/time, and on the consumer side, max lag in messages among all partitions and min fetch request rate. The latter is the case if you depend on all messages for a given key landing on the same partition (to be handled by the same consumer in a group) or for example if you run a Kafka Streams application. The following picture from the Kafka documentation describes the situation with multiple partitions of a single topic. /** * This interface is used to define custom partition assignment for use in * {@link org. Partition Design Partitions are the fundamental enabler of scale in Kafka you can't have more master brokers for a topic than partitions you can't have more than one consumer (in a consumer group) reading from a partition Too many partitions per broker can lead to long failover/restart times and higher replication latency. Default: ‘kafka-python-3’ group_id (str or None) – name of the consumer group to join for dynamic partition assignment (if enabled), and to use for fetching and committing offsets. Kafka assigns the partitions of a topic to the consumer in a group, so that each partition is consumed by exactly one consumer in the group. TopicPartition(). A group protocol is used by consumers during rebalances by group leaders to make decisions about partition assignments and to encode & decode those decisions for distribution to other consumers in the. 之前写过如何用服务器端的API代码来获取订阅某topic的所有consumer group,参见这里。 使用服务器端的API需要用到kafka. Using this group protocol, one of the brokers is designated as the Consumer group's coordinator and is responsible for managing both the members of the group as well as their partition assignments. In Kafka, a topic is a category or feed to which records are written to. kafka_ex v0. This allows the consumer to upgrade from one assignment strategy to another without downtime. Kylin stream cube build fail "with org. You can use the partition mechanism to send each partition different set of messages by business key, for example, by user id, location etc. 4+, and PyPy, and supports versions of Kafka 0. When a new consumer is assigned to a new partition, it. js with new unified consumer API support. 1 is associated with. 9+), but is backwards-compatible with older versions (to 0. As it's only one partition, we see that of the three consumers in the group, only one consumer, Consumer2 continues pulling messages for the group. strategy" which has no default value. Group members are sending heart beats to GroupCoordinator in order to make it know they are alive. When all partitions are assigned, some consumers can get no assignment and will be unused until needed. commit-refresh-interval configuration parmeters) and the commit will not contain metadata. The only thing that needs to be adjusted is the configuration, to make sure to point the producers and consumers to Pulsar service rather than Kafka and to use a particular Pulsar topic. In the previous article Kafka consumer overview, When data is consumed from Kafka by Consumer group/consumer, only "At least once" and "At most once" semantics. Before doing that we need to ensure that current consumer is assigned Y partition, otherwise we will get kafka exception. The consumer group concept in Kafka generalizes these two concepts. @generation_id = nil @instrumenter. Automatic group management & Partition assignment. The default value for "partition. When the consumer's throughput is lesser than the producer's throughput, then we will NOT be able to process all the messages in the Kafka topic. Rather, they interact with a Generation. Partition Assignment. the new consumer uses a group coordination protocol built into Kafka. This might be sufficient for you. subscribe(listOf(personsTopic)) This has the effect of requesting dynamic assignment of the partitions to our consumer, and to effectively join the consumer group. If we have more partitions, then we can scale the consumer out for a consumer-group to match producer's throughput. Kafka Connect is a utility for streaming data between MapR-ES and other storage systems. The default value for "partition. consumer比partition少consumer应于partitions主要合理配consumer数partition数否则导致partition面数据取均匀 partiton数目consumer数目整数倍所partition数目重要比取24容易设定consumer数目 3. Also, topic partitions are a unit of parallelism - a partition can only be worked on by one consumer in a consumer group at a time. consumerpartition读. 0 and later for both reading from and writing to Kafka topics. Let me quickly recap both things. sh), generate (with the -generate option) the candidate assignment configuration. It supports(as given in its github page) :. There is always a default consumer group in an event hub, and you can create up to 20 consumer groups for a Standard tier event hub. As we said earlier, each consumer group instance gets set of unique partitions from which it consumes the data. Subscribe makes use of the consumer group; Kafka coordinator sends assignment to a consumer and the partitions of the topics subscribed to, will be distributed to the instances within that group. Hope you like our explanation. If the group ID is not known by the broker, the consumer can be configured to ask the broker to point its corresponding pointer to the start of the journal (thereby consuming all. Hi All - I've Kafka 0. This console uses the Avro converter with the Schema Registry in order to properly read the Avro data schema. FairAssignor". If the set of consumers changes while this assignment is taking place the rebalance will fail and retry. , dynamic partition assignment to multiple consumers in the same group – requires use of 0. Consumer groups should be meaningfully named, ideally reflecting the purpose of the consumer. In Kafka, a topic is a category or feed to which records are written to. Then you need to subscribe the consumer to the topic you created in the producer. In Apache Kafka v0. Consumer groups __must have__ unique group ids within the cluster, from a kafka broker perspective. A process that manages membership in a Kafka consumer group. There can be at most 5 concurrent readers on a partition per consumer group; however it is recommended that there is only one active receiver on a partition. The answer is simple. This setting controls the maximum number of attempts before. So it is better to add a group-id for our application. 9+ kafka brokers. Vahid S Hashemian HI Jason, Thanks for your feedback. the system guarantees that no messages are lost, but in certain fault scenarios, a consumer might receive the same message more than once), and highly available partitions (i. A caller doesn't interact with the group directly. In this case each of the Kafka partitions will be assigned to only one consumer thread. This Kafka Consumer scala example subscribes to a topic and receives a message (record) that arrives into a topic. 每个consumer将自己标记consumer group名称,之后系统会将consumer group按名称分组,将消息复制并分发给所有分组,每个分组只有一个consumer能消费这条消息。 于是推理出两个极端情况:. A consumer group can consist of multiple consumers, which never process a given message twice. The beauty is that in PyKafka, all it takes is:. If you’re using defaults, Kafka itself will handle the distribution and assign the partitions to. 9+), but is backwards-compatible with older versions (to 0. Partitions may be manually assigned to the receiver without using Kafka consumer group management. The round-robin partition assignor lays out all the available partitions and all the available consumer threads. Kafka Topics and Partitions. RangeAssignor. Along with that, we are going to learn about how to set up configurations and how to use group and offset concepts in Kafka. Moreover, what happens to the partition when a consumer leaves the group? Who manages all of this? Kafka Group Coordinator. In the previous article Kafka consumer overview, we learned that consumers in a consumer group are assigned different partitions. Kafka REST Proxy 2. When manual assignment is used, assignment listeners are invoked when the consumer is started. It then proceeds to do a round-robin assignment from partition to consumer thread. commit partition. We have one topic split into three partitions, and we have a consumer group with three members, each reading one partition. A topic is. In this case, the Kafka server will assign a partition to each consumer, and will reassign partitions to scale for new consumers. Default: None. The act of joining the consumer group triggers a rebalance, but the consumer-group leader will use the sticky-partitioning scheme to ensure that topic partition assignments remain constant until the old Processor pod leaves the group. • Kafka assigns the partitions of a topic to the consumers in a group so that each partition is consumed by exactly one consumer in the group. As with a queue the consumer group allows you to divide up processing over a collection of processes (the members of the consumer group). Should you add more consumers to the group, the existing ones will experience a rebalance. In the Bootstrap servers property, specify the host name and port of the Kafka server; for example, if you are using IBM Event Streams (Kafka on IBM Cloud), specify the address of that server. The Cluster Operator now will listen for new Kafka resources. consumer ", group_id: @group_id) do coordinator. The leader is responsible for managing the assignment of partitions to each new consumer in the group. The class name of the partition assignment strategy that the client uses to distribute partition ownership amongst consumer instances. PARTITION_ASSIGNMENT_STRATEGY_CONFIG) in the properties provided to the DefaultKafkaConsumerFactory. $ kafka-consumer-manager --cluster-type test --cluster-name my_cluster offset_save my_group my_offset Cluster name: my_cluster, consumer group: my_group Consumer offset data saved in json-file my_offsets. KafkaConsumer(). When part of a consumer group, each consumer is assigned a subset of the partitions from topics it has subscribed to, which locks those partitions. Each consumer only sees his own assignment—the leader is the only client process that has the full list of consumers in the group and their assignments. val currentPosition = consumer. The consumer then tells the coordinator that it wants to join the group and the coordinator starts a rebalance of the partitions across the group including the new member. • Technical assignment initiation which is given by management apart from Project work. The first consumer to join a consumer group becomes the consumer group leader. 7+, Python 3. You can trigger it by starting one logstash-kafka-input instance and use the. no-kafka-slim is Apache Kafka 0. When a new consumer joins a consumer group the set of consumers attempt to "rebalance" the load to assign partitions to each consumer. 9 kafka brokers. This request triggers the rebalancing process across consumers in the consumer group, as the partitions assigned to the consumers will change after the "sync group" request. 9+), but is backwards-compatible with older versions (to 0. each partition is assigned to exactly one consumer in the group if a process fails, the partitions assigned to it will be reassigned to other consumers in the same group ConsumerRecords holds the list ConsumerRecord per partition for a particular topic. 一个topic 可以配置几个partition,produce发送的消息分发到不同的partition中,consumer接受数据的时候是按照group来接受,kafka确保每个partition只能同一个group中的同一个consumer消费,如果想要重复消费,那么需要其他的组来消费。. A Consumer Group's Relationship to Partitions. You also need to define a group. • Closely worked with client and deliver the solution as expected. 0 and later for both reading from and writing to Kafka topics. We can then simply use a Samza job to replicate and aggregate. The consumer group concept in Kafka generalizes these two concepts. The partition assignment is received as the “kafka. * Any Kafka consumer configuration can be included here. Partitions determine the maximum consumer (group) parallelism allowed. , dynamic partition assignment to multiple consumers in the same group -- requires use of 0. When you start the first consumer for the new topic, Kafka will assign all three partitions to the same consumer. Chad enjoys sharing his experiences and helping people discover how they can use. A Producer creates messages, and sends them in one of the Partition s of a Topic. Alternatively to can use assign() to manually set the partition and offset for the consumer. apache,apache-kafka,kafka-consumer-api,kafka. We then divide the number of partitions by the total number of consumer streams (threads) to determine the number of partitions to assign to each consumer. Here's an extract from the documentation: When a consumer wants to join a consumer group, it. Businesses are increasingly realizing the business benefits of big data but not sure how and where to start. The beauty is that in PyKafka, all it takes is:. consumer 在接收到 GroupCoordinator 的 response 后,如果这个 consumer 是 group 的 leader,那么这个 consumer 将会负责为整个 group assign partition 订阅安排(默认是按 range 的策略,目前也可选 roundrobin),然后 leader 将分配后的信息以 sendSyncGroupRequest() 请求的方式发给. The group protocol used by the consumer in the JoinGroup request corresponds to the assignment strategy that the leader will use to determine partition assignment. The only thing that needs to be adjusted is the configuration, to make sure to point the producers and consumers to Pulsar service rather than Kafka and to use a particular Pulsar topic. When there are more Kafka partitions than Flink tasks , Flink consumer instances will subscribe to multiple partitions at the same time: Flink maintains assignment of partitions to Flink instances also after failures, keeping the partitioning deterministic, which is essential for exactly-once delivery. Partitions are the key to scalability attributes of Kafka. id is a must have property and here it is an arbitrary value. Partitions may be manually assigned to the receiver without using Kafka consumer group management. The first consumer in the group becomes the group leader. js with new unified consumer API support. Our lag is calculated as kafka_offset_newest - kafka_offset_consumer. and with manual control of partition assignment. You can trigger it by starting one logstash-kafka-input instance and use the. This new mechanism enable consumer to have long processing time but still react timely on process crash. Properties such as the consumer group for the consumer and the partition assignment strategy can be specified in the properties file. Say you’re creating a new topic with three partitions. This could lead to the issue described in KAFKA-7026, in which current assignment of a consumer is no longer valid and should be ignored. partition-assignor. Step by step guide to realize a Kafka Consumer is provided for understanding. While consuming messages from Kafka, quite a few things happen in the background to make sure the consumer is actually performing well. Chad enjoys sharing his experiences and helping people discover how they can use. A group coordinator oversees all of this. The Event Hubs for Kafka feature provides a protocol head on top of Azure Event Hubs that is binary compatible with Kafka versions 1. The first because we are using group management to assign topic partitions to consumers so we need a group, the second to ensure the new consumer group will get the messages we just sent, because the container might start after the sends have completed. The Kafka Multitopic Consumer origin uses multiple concurrent threads based on the Number of Threads property and the partition assignment strategy defined in the Kafka cluster. AvroMessageFormatter). Each consumer will read from a partition while tracking the offset. Maps to the Kafka partition. So, one of the Kafka broker gets elected as a Group Coordinator. id property, because it's needed for re-balancing. , dynamic partition assignment to multiple consumers in the same group - requires use of 0. Any consumer must belong to a group. There is no ordering guarantee across different partitions. Otherwise the reset will be rejected. Using this group protocol, one of the brokers is designated as the Consumer group's coordinator and is responsible for managing both the members of the group as well as their partition assignments. By the end of this course, students will be able to , set up a personal Kafka development environment, master the concepts of topics, partitions and consumer groups, develop a Kafka producer to send messages and develop a Kafka. Coordinator in Apache Kafka July 2, 2016 Apache Kafka Bartosz Konieczny Since Kafka is a distributed system, it naturally has to coordinate its members somehow. In any case, it's not the consumer's choice to decide the partitions it wants to read for. 两种 partition 分配机制. Conclusion - Tools in Kafka. Multiple Partition s or channels are created to increase redundancy. In the Consumer group ID property, specify the ID of the consumer group to which this consumer belongs. type kafka-console-consumer. 1 for MapR-ES provides a RESTful interface to MapR-ES clusters to consume and produce messages and to perform administrative operations. Similar to the StringSerialization in producer, we have StringDeserializer in consumer to convert bytes back to Object. When a consumer fails the load is automatically distributed to other members of the group. As it’s only one partition, we see that of the three consumers in the group, only one consumer, Consumer2 continues pulling messages for the group. Recall that any time a consumer joins or leaves the consumer group, partitions are re-balanced across all. As of Kafka 9. It relies on the fact that each consumer in the group sends its subscribed topics and also its current assignment when a rebalance occurs. Kafka in Action is a practical, hands-on guide to building Kafka-based data pipelines. Should you add more consumers to the group, the existing ones will experience a rebalance. This module is a direct fork of oleksiyk/kafka , but with removed depency for Snappy (due to various problems on Windows). reset enable. Use this with caution. Kafka producers automatically find out the lead broker for the topic as well as partition it by raising a request for the metadata before it sends any message to the the broker. This new mechanism enable consumer to have long processing time but still react timely on process crash. If we have more partitions, then we can scale the consumer out for a consumer-group to match producer’s throughput. Coordinator in Apache Kafka July 2, 2016 Apache Kafka Bartosz Konieczny Since Kafka is a distributed system, it naturally has to coordinate its members somehow. Kafka Consumer scala example. If None, auto-partition assignment (via group coordinator) and offset commits are disabled. Supervising 5-8 Information technology students, doing their second and third year in different courses. When a consumer fails the load is automatically distributed to other members of the group. Consumer Group Rebalance. As we said earlier, each consumer group instance gets set of unique partitions from which it consumes the data. partition : 指定发送的partition,由于kafka默认配置1个partition,固为0; future. The save offsets file can then be used to restore the consumer group. Offset and consumer positions control. get函数等待单条消息发送完成或超时,经测试,必须有这个函数,不然发送不出去,或用time. TopicPartition(). id, as they are automatically configured. partition-key. With the new dependency, the existing code should work without any changes. Zero code Kafka integration with the most popular data sources via a simple web interface to setup and monitor connectors. Above diagram shows a topic with 3 partitions and a consumer group with 2 members. /** * This interface is used to define custom partition assignment for use in * {@link org. Every consumer has its set of partitions assigned exclusively to it and rebalancing is all about maintaining all partitions assigned to active consumers. This section contains information related to application development for ecosystem components and MapR products including MapR Database (binary and JSON), MapR Filesystem, and MapR Streams. So it is better to add a group-id for our application. The following are code examples for showing how to use kafka. It relies on the fact that each consumer in the group sends its subscribed topics and also its current assignment when a rebalance occurs. Before diving into how to configure Kafka load balancing in a Streams application, some important Kafka concepts need to be understood. We can then simply use a Samza job to replicate and aggregate. If you are familiar with Kafka consumers, you are probably aware of the concept of the consumer groups – Kafka consumption is parallelized by assigning partitions to exactly one consumer in a group of consumers that share the same group id. When partitions are added to the subscribed topic, these new partitions will be automatically assigned to one of the consumers in the group. Now we are ready to update our MovieFriends graph. Offset and consumer positions control. - Manual partition assignment doesn't work - Bugs in the Kafka Spout retry logic when using manual commit - Kafka spout can stall / get stuck due to edge case with failing tuples - The fix for STORM-2343 is incomplete, and the spout can still get stuck on failed tuples. If None, auto-partition assignment (via group coordinator) and offset commits are disabled. reset property, to know if it needs to start from earliest or latest. To view offsets as in the previous example with the ConsumerOffsetChecker, we "describe" the consumer group like this: > bin/kafka-consumer-groups. 0版本已经被标记为不推荐使用了,故目前最合适的方式还是通过客户端API:org. This is achieved by balancing the partitions between all members in the consumer group so that each partition is assigned to exactly one consumer in the group. Finding the position of the Consumer. Map with a key/value pair containing generic Kafka consumer properties. 消费者端接收消息如下:. Automatic group management & Partition assignment. A unique big data strategy tailor made to specific business needs that links organization’s business strategy and support business is very crucial. A group protocol is used by consumers during rebalances by group leaders to make decisions about partition assignments and to encode & decode those decisions for distribution to other consumers in the. Each message from the broker contains the topic that the message was sent to, as well as the message, key, offset, and partition. It then proceeds to do a round-robin assignment from partition to consumer thread. Cloud Kafka does not delete the consumed messages. id, so I will run with that convention. For example, fully coordinated consumer groups – i. This is because kafka. Along with that, we are going to learn about how to set up configurations and how to use group and offset concepts in Kafka. Default: ‘kafka-python-3’ group_id (str or None) – The name of the consumer group to join for dynamic partition assignment (if enabled), and to use for fetching and committing offsets. The best example is when a brand new consumer group subscribes to a topic. strategy - How the partition assignment shall work. Conversely, members of a consumer group are assigned to read from one or more partitions. 这就涉及到 Kafka 内部分区分配策略(Partition Assignment Strategy)了。 在 Kafka 内部存在两种默认的分区分配策略:Range 和 RoundRobin。当以下事件发生时,Kafka 将会进行一次分区分配: 同一个 Consumer Group 内新增消费者. strategy" would remain unchanged for both the original high-level consumer and the new consumer. Each consumer will read from a partition while tracking the offset. At this point we've got (desired # of replicas) + 1 Processor pods in the Kafka consumer group. In Kafka, a topic is a category or feed to which records are written to. • Kafka guarantees a message is only ever read by a single consumer in a group. 카프카는 각각의 Partition에 대해서만 순서를 보장함 Partition이 1개인 경우에는 Producer가 보낸 순서대로 가져올 수 있지만, Partition이 여러 개일 경우 Producer가 보낸 순서대로 메시지를 가져올 수 없음. The Kafka brokers are an important part of the puzzle, but do not provide the Consumer Group behavior directly. com), an online advertising substitute and incorpoblame network for publishers in China. The partition assignment is received as the “kafka. In such case, any one of these endpoints will consumes the message from the topic. Partition Design Partitions are the fundamental enabler of scale in Kafka you can't have more master brokers for a topic than partitions you can't have more than one consumer (in a consumer group) reading from a partition Too many partitions per broker can lead to long failover/restart times and higher replication latency. ImportantNotice ©2010-2019Cloudera,Inc. If the consumer thread fails then its partitions are reassigned to the alive thread. Kafka Consumer¶. treat all topic-partitions as a whole partitions group, Kafka will try to evenly. It comes at a cost of initializing Kafka consumers at each trigger, which may impact performance if you use SSL when connecting to Kafka. This could lead to the issue described in KAFKA-7026, in which current assignment of a consumer is no longer valid and should be ignored. Manage ACLs, Quotas & Users, Project tags. The round-ropin partition assignment strategy, was introduced for the high-level consumer, starting with 0. id, so I will run with that convention. configuration. Partitioning also maps directly to Apache Kafka partitions as well. , dynamic partition assignment to multiple consumers in the same group -- requires use of 0. Apache Kafka is a distributed commit log for fast, fault-tolerant communication between producers and consumers using message based topics. If the consumer crashes or is shutdown, its partitions will be re-assigned to another member, which will begin consumption from the last committed offset of each partition. In the previous article Kafka consumer overview, we learned that consumers in a consumer group are assigned different partitions. The configuration is provided via partition. Assign forces assignment to a list of topics. Although it is the simplest way to subscribe to and access events from Kafka, behind the scenes, Kafka consumers handle tricky distributed systems challenges like data consistency, failover and load balancing. Consumer Instance들(프로세스, 서버)을 대표하는 그룹. Introducing the Kafka Consumer: Getting Started with the Confluent. assignment(). The act of joining the consumer group triggers a rebalance, but the consumer-group leader will use the sticky-partitioning scheme to ensure that topic partition assignments remain constant until the old Processor pod leaves the group. This is achieved by balancing the partitions between all members in the consumer group so that each partition is assigned to exactly one consumer in the group. Consumer groups __must have__ unique group ids within the cluster, from a kafka broker perspective. I'm using consumer group which has a dedicated thread for each partition. When all partitions are assigned, some consumers can get no assignment and will be unused until needed. OffsetManager. Close() method when you're done consuming. A consumer group can be created with 4 instances of the consumer attached to it. There is no ordering guarantee across different partitions. • Technical assignment initiation which is given by management apart from Project work. When a unique group identifier is given for the operator, the partitions of the subscribed topic are assigned by Kafka, and the operator represents a consumer group with only one member.