Best Apache Kafka Interview Questions and Answers
- What is Apache Kafka? …
- Enlist the several components in Kafka. …
- Explain the role of the offset. …
- What is a Consumer Group? …
- What is the role of the ZooKeeper in Kafka? …
- Is it possible to use Kafka without ZooKeeper? …
- What do you know about Partition in Kafka?
Indeed, Is it possible to use Kafka without ZooKeeper?
However, you can install and run Kafka without Zookeeper. In this case, instead of storing all the metadata inside Zookeeper, all the Kafka configuration data will be stored as a separate partition within Kafka itself.
Then, What is partition in Kafka? Kafka Partitioning
Partitioning takes the single topic log and breaks it into multiple logs, each of which can live on a separate node in the Kafka cluster. This way, the work of storing messages, writing new messages, and processing existing messages can be split among many nodes in the cluster.
Why Kafka is used? Why would you use Kafka? Kafka is used to build real-time streaming data pipelines and real-time streaming applications. A data pipeline reliably processes and moves data from one system to another, and a streaming application is an application that consumes streams of data.
In the same way What is ZooKeeper in Kafka? ZooKeeper is used in distributed systems for service synchronization and as a naming registry. When working with Apache Kafka, ZooKeeper is primarily used to track the status of nodes in the Kafka cluster and maintain a list of Kafka topics and messages.
What is sharding in Kafka?
Kafka’s sharding is called partitioning. (Kinesis which is similar to Kafka calls partitions shards.) A database shard is a horizontal partition of data in a database or search engine. Each individual partition is referred to as a shard or database shard.
What is cluster in Kafka?
A Kafka cluster consists of one or more servers (Kafka brokers) running Kafka. Producers are processes that push records into Kafka topics within the broker. A consumer pulls records off a Kafka topic.
What is offset in Kafka?
OFFSET IN KAFKA
The offset is a unique id assigned to the partitions, which contains messages. The most important use is that it identifies the messages through id, which are available in the partitions. In other words, it is a position within a partition for the next message to be sent to a consumer.
What is replication factor in Kafka?
Kafka Replication Factor refers to the multiple copies of data stored across several Kafka brokers. Setting the Kafka Replication Factor allows Kafka to provide high availability of data and prevent data loss if the broker goes down or cannot handle the request.
Is sharding vertical or horizontal?
Vertical Partitioning stores tables &/or columns in a separate database or tables. Horizontal Partitioning (sharding) stores rows of a table in multiple database clusters. Sharding makes it easy to generalize our data and allows for cluster computing (distributed computing) .
What is sharding in eth?
Sharding refers to splitting the entire Ethereum network into multiple portions called ‘shards’. Each shard would contain its own independent state, meaning a unique set of account balances and smart contracts. Sharding is definitely the most complex Ethereum scaling solution.
What is sharding vs partitioning?
Sharding and partitioning are both about breaking up a large data set into smaller subsets. The difference is that sharding implies the data is spread across multiple computers while partitioning does not. Partitioning is about grouping subsets of data within a single database instance.
What Kafka basic?
In simple terms, Kafka is a messaging system that is designed to be fast, scalable, and durable. It is an open-source stream processing platform. Apache Kafka originated at LinkedIn and later became an open-source Apache project in 2011, then a first-class Apache project in 2012. Kafka is written in Scala and Java.
What is the difference between flume and Kafka?
Kafka runs as a cluster which handles the incoming high volume data streams in the real time. Flume is a tool to collect log data from distributed web servers. Kafka will treat each topic partition as an ordered set of messages.
What is Apache Kafka tutorial?
Apache Kafka Tutorial provides the basic and advanced concepts of Apache Kafka. This tutorial is designed for both beginners and professionals. Apache Kafka is an open-source stream-processing software platform which is used to handle the real-time data storage.
What is __ Consumer_offsets topic in Kafka?
__consumer_offsets is used to store information about committed offsets for each topic:partition per group of consumers (groupID). It is compacted topic, so data will be periodically compressed and only latest offsets information available.
Do Kafka offsets start at 0?
Initially, when a Kafka consumer starts for a new topic, the offset begins at zero (0). Easy enough. On the other hand, if a new consumer group is started in an existing topic, then there is no offset store.
What is Acknowledgement in Kafka?
Once the messages are processed, consumer will send an acknowledgement to the Kafka broker. Once Kafka receives an acknowledgement, it changes the offset to the new value and updates it in the Zookeeper.
What is min insync replicas?
min. insync. replicas is a config on the broker that denotes the minimum number of in-sync replicas required to exist for a broker to allow acks=all requests. That is, all requests with acks=all won’t be processed and receive an error response if the number of in-sync replicas is below the configured minimum amount.
What is insync replicas in Kafka?
What is the ISR? The ISR is simply all the replicas of a partition that are “in-sync” with the leader. The definition of “in-sync” depends on the topic configuration, but by default, it means that a replica is or has been fully caught up with the leader in the last 10 seconds.
What happens when one Kafka broker goes down?
During a broker outage, all partition replicas on the broker become unavailable, so the affected partitions’ availability is determined by the existence and status of their other replicas. If a partition has no additional replicas, the partition becomes unavailable.
What is sharding in Blockchain?
Sharding splits a blockchain company’s entire network into smaller partitions, known as “shards.” Each shard is comprised of its own data, making it distinctive and independent when compared to other shards.
What is a shard in Elasticsearch?
The shard is the unit at which Elasticsearch distributes data around the cluster. The speed at which Elasticsearch can move shards around when rebalancing data, e.g. following a failure, will depend on the size and number of shards as well as network and disk performance.
What is directory based partitioning?
Directory based shard partitioning involves placing a lookup service in front of the sharded databases. The lookup service knows the current partitioning scheme and keeps a map of each entity and which database shard it is stored on. The lookup service is usually implemented as a webservice.
Don’t forget to share this post !