Streamoperasjoner

Streamoperasjoner refers to operations performed on streams of data. A stream is a sequence of data elements made available over time. In computing, streams are often used for processing large amounts of data, such as network traffic, file input/output, or real-time data feeds.

Common stream operations include reading and writing data. Reading operations extract data from a stream, while writing operations add data to a stream. These can be basic byte-level operations or higher-level operations that work with specific data types like characters or objects.

Transformations are another key type of stream operation. These operations modify the data as it flows through the stream. Examples include filtering, mapping, and aggregating. Filtering selects elements that meet certain criteria, mapping transforms each element into another form, and aggregation combines multiple elements into a single result.

Buffering is often employed to improve the efficiency of stream operations. Buffering involves temporarily storing data in memory before it is processed or written. This can reduce the number of system calls and optimize data transfer.

Concurrency is also relevant in stream processing, especially for handling multiple streams simultaneously or processing a single stream with multiple threads. This can significantly improve performance for applications dealing with high volumes of data. The specific implementation and availability of stream operations vary across different programming languages and libraries, but the underlying concepts of sequential data processing remain consistent.