batchCount

Batchcount is a term used in batch processing to denote the number of items included in a single batch. It is a configuration parameter in software systems, data pipelines, and manufacturing processes. In computing, a batch is a collection of records or tasks processed together. The batchcount determines the size of that collection. A larger batchcount can increase throughput by amortizing per-batch overhead, but it may raise memory usage and latency per item. Smaller batchcounts reduce latency and peak memory but can reduce throughput due to overhead.

In manufacturing, batch count refers to the quantity produced in one run. It is used for inventory control, lot tracking, and yield analysis. The term can imply different things in different industries; for example, a batch of 1000 units may be produced before reset.

In databases and data processing, batchcount is used to chunk operations such as bulk inserts or transformations. Processing in chunks of batchcount records helps manage transaction size and error handling. The ideal batchcount depends on system memory, network throughput, and the target storage or compute engine. Many libraries expose a batchCount or batchSize setting. Typical values range from tens to thousands, with common defaults around a few hundred.

Usage considerations include effects on fault tolerance, retry behavior, and parallelism. When a batch fails, knowing the batch boundaries simplifies recovery. In GPU-accelerated tasks, a properly chosen batchcount balances GPU occupancy with memory usage.

See also: batch processing, batch size, throughput, latency, bulk operations, data pipeline.