Components of Pipeline in Query Processing
The pipeline in query processing typically consists of the following components:
- Parsing and Optimization: In this stage, the selected query is parsed to locate the specific elements like tables, columns, conditions, and so on. The nearest query optimizer must step in here and select the most appropriate execution plan among several based on specific data access plans such as distribution of indexes and use of join algorithms.
- Execution: When the query has been optimized, this process is seen by execution phase of the query, where each operation indicated in the execution plan is performed. Processing data may involve such activities as disk accessing, performing join and aggregation operations, and applying the filtering operations.
- Result Generation: At the upcoming stage of the pipeline, the production output is made, and it is based on which operations have been carried out earlier. This includes, but is not limited to, allocating, grouping, or arranging the data as the query may direct.
Pipeline in Query Processing in DBMS
Database system processing in a satisfactory manner encompasses providing fast responses to data retrieval and manipulation tasks, with two of the keywords being performance and responsiveness. A concept that acts as the foundational element in improving batch processing performance is called “pipeline.” In this article, the network of rungs or pipes that organize the fetching of data from queries for display will be discussed, (their structure, functioning, pros, and cons).