Database Query Processing With Data Stream Buffer Segmentation
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Solution Overview
Problem
Queries on databases receiving incoming data streams often produce inaccurate results due to unreflected modifications, such as updates and deletions, if the database has not yet been updated by the data stream, leading to incomplete or outdated data retrieval.
Innovation Solution
The query is split into sub-queries based on the age of the data, with one sub-query for the data stream buffer and another for the database, allowing for accurate retrieval of data by generating buffer and database sub-queries based on the specified range, and combining their results to provide a comprehensive query response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the database is queried alone without considering the data stream buffer, then the query processing is simple, but the query results are inaccurate and outdated
Solution Approach 1:
The patent segments the query into two separate sub-queries: one for the data stream buffer and another for the database. This segmentation allows each sub-query to be processed independently according to its specific characteristics, ensuring that the most recent data from the buffer is captured while maintaining the simplicity of querying each component separately. The results are then merged to produce the final accurate query result.
2Measurement precision
If the query waits for all data stream modifications to be reflected in the database, then the query results are accurate, but the query response time increases
Solution Approach 1:
The patent performs preliminary action by directly querying the data stream buffer for the most recent data modifications before the database has fully processed them. This allows the system to retrieve up-to-date information without waiting for the database to complete its data processing cycle, thereby reducing query response time while maintaining accuracy.
3Productivity
If only the database is queried, then the query processing is fast, but the data retrieved is incomplete and outdated
Solution Approach 1:
The patent segments the data storage system into two components: the data stream buffer for recent modifications and the database for historical data. By querying both segments and merging their results, the system maintains fast processing speeds while ensuring data completeness. The buffer sub-query captures the most recent changes that would otherwise be missing from a database-only query.
4Measurement precision
If the query is split into sub-queries for buffer and database, then the query result accuracy is improved, but the query processing complexity increases
Solution Approach 1:
The patent divides the complex query into two simpler sub-queries that can be processed independently. The buffer sub-query handles recent data modifications while the database sub-query handles historical data. This segmentation reduces the complexity of each individual query while improving overall accuracy through the combination of results from both sources.
Data Source
AI summary
Example implementations relate to processing a query of a database and a data stream. For example, a computing device may include a processor. The processor may receive a query associated with at least one of a database and a buffer storing streamed data from a data stream. The database may store database data previously stored in the buffer. The processor may identify a range associated with the query and generate a set of sub-queries including at least one of a buffer sub-query if the range is associated with the streamed data in the buffer and a database sub-query if the range is associated with the database data in the database. The processor may process the set of sub-queries and provide a query result of the query, where the query result is a combination of sub-query results of the set of sub-queries.