DeepDB is a data-driven learned database component achieving state-of-the-art-performance in cardinality estimation and approximate query processing (AQP). This is the implementation described in ...

Past work has suggested that query execution feedback can be useful in improving the quality of plans by correcting cardinality estimation errors in the query optimizer. The state-of-the-art approach ...

The query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of ...

Abstract: Cardinality estimation is the task of determining the number of distinct elements (or the cardinality) in a data stream, under a stringent constraint that the input data stream can be ...

Abstract: Sliding cardinality estimation is crucial in many data analysis scenarios, e.g., detecting abnormal network behav-iors by monitoring unique connections in real time, detecting fraud in ...

Redis is a popular choice for developers worldwide due to its combination of speed, flexibility, and rich feature set. Here's why people choose Redis for: In summary, Redis provides a powerful, fast, ...

The entries in the previous table summarize the fact that Boolean satisfiability is a weak method that admits efficient implementations. The representation is relatively inefficient, and none of our ...