Antwort Is Kafka Python thread-safe? Weitere Antworten – Is Kafka thread safe

Is Kafka Python thread-safe?
The Kafka consumer is NOT thread-safe. All network I/O happens in the thread of the application making the call.An out-of-the-box Kafka installation doesn't use encryption, but rather sends everything in the easily intercepted plaintext.The producer is thread safe and sharing a single producer instance across threads will generally be faster than having multiple instances.

What is the buffer memory of a producer in Kafka : buffer. memory

Each producer maintains a buffer memory of 32 MB, by default. This is called the send buffer. The buffer may fill up over time and fill back down when the throughput to the broker increases.

When should you not use Kafka

Latency: Kafka is designed to handle large volumes of data, but there can be some latency in processing the data. This latency can increase as the volume of data increases, making it less suitable for real-time processing where low latency is critical.

What Kafka should not be used for : It requires that you build a complex pipeline of interactions between producers and consumers and then maintain the entire system. This requires substantial work and effort and adds complexity. It's best to avoid using Kafka as the processing engine for ETL jobs, especially where real-time processing is needed.

Kafka Security

  1. Encryption of data in-flight using SSL / TLS: This allows your data to be encrypted between your producers and Kafka and your consumers and Kafka.
  2. Authentication using SSL or SASL: This allows your producers and your consumers to authenticate to your Kafka cluster, which verifies their identity.


in consumer group. Kafka only guarantees that a message is not lost after it was replicated. If you use acks=1 you get the ack back before replication finished. Thus, if there is a broker side error and replication fails, the record could get lost.

Are queues thread-safe in Python

If you've ever done much work with multithreading in Python, you probably know that Python's built in queues are thread safe.More memory will give you a higher throughput since Kafka Consumers, first of all, try to read memory data. Kafka does not require high CPU, as long as you are not running too many partitions.Memory. Kafka uses heap space very carefully and does not require setting heap sizes more than 6 GB. It can run optimally with 6 GB of RAM for heap space. This will result in a file system cache of up to 28–30 GB on a 32 GB machine.

Kafka: Kafka is optimized for low-latency event streaming and can provide real-time data processing capabilities. REST: REST can introduce higher latency, especially when dealing with complex requests or when a large number of requests are made due to its request-response nature.

Does Netflix use Kafka : Apache Kafka is a distributed streaming platform that Netflix uses for messaging and real-time data processing. Kafka provides a robust and durable messaging system that allows Netflix's microservices to communicate with each other efficiently.

When Kafka is overkill : For small to medium-sized systems with moderate data processing needs, integrating Kafka might be excessive. If your system doesn't require real-time data streaming or doesn't deal with an extensive volume of events, simpler messaging systems may suffice without the added complexity that Kafka introduces.

Does Kafka keep messages forever

It is much closer in architecture to a distributed filesystem or database than to a traditional message queue. There are three primary differences between Kafka and traditional messaging systems: Kafka stores a persistent log that can be re-read and kept indefinitely.

A lack of thread safety means that the methods/functions don't have protection against multiple threads interacting with that data at the same time – they don't have locks around data to ensure things are consistent. The async stuff isn't thread safe because it doesn't need to be.Python virtual machine is not a thread-safe interpreter, meaning that the interpreter can execute only one thread at any given moment. This limitation is enforced by the Python Global Interpreter Lock (GIL), which essentially limits one Python thread to run at a time.

Is Kafka faster than MQ : Latency and throughput: MQ is optimized for low latency and high throughput within a single data center, while Kafka is designed for high throughput and low latency across multiple data centers.