Introduction A memory leak in a Kafka producer can occur when the producer is unable to release memory that is no longer needed. This can lead to poor performance and, in extreme cases, cause the […]
Introduction Kafka is a distributed streaming platform that can be used to collect, store, and process large streams of data in real-time. ClickHouse is a columnar database that can be used to perform real-time analytical […]
Introduction The ClickHouse wire protocol is a binary protocol that is used to communicate between a client and a ClickHouse server. The protocol is implemented in the ClickHouse server and client libraries, and it uses […]
Introduction There are several ways to monitor the performance of a ClickHouse cluster: Using built-in system tables: ClickHouse has several built-in system tables, such as system.metrics, system.metrics_events, and system.query_log, that provide detailed information about the […]
Introduction In ClickHouse, a working dataset refers to a set of data that is stored in memory and used to perform operations such as sorting and aggregation. Working Dataset Types in ClickHouse ClickHouse has several […]
Introduction ClickHouse utilizes multiple data caches to improve query performance. These caches include: Read cache: This cache stores the results of read-only queries. This cache is shared among all clients and is used to avoid […]
Introduction In ClickHouse, memory management is handled by the MemoryTracker class, which is responsible for allocating and deallocating memory to different parts of the system. The MemoryTracker class uses a hierarchical approach to manage memory, […]
Introduction Checkpointing is a process of periodically saving the state of a database system to disk, so that in the event of a failure, the system can be quickly restored to a known good state. […]
Introduction Columnar databases, also known as ColumnStores, are a type of database that stores and organizes data by columns rather than by rows. These types of databases are optimized for analytics and reporting workloads, as […]
Introduction Encrypting data at rest is important because it helps to protect sensitive information in case of a data breach or unauthorized access. When data is at rest, it means that it is stored on […]
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