Load type: the queries that benefit the most from parallel execution should be prevalent. These factors are usually true for OLAP systems and false for OLTPs. The planner will not even consider parallel scanning unless it expects to read at least min_parallel_table_scan_size of data (8MB by...
In this model, the thread that starts the enumeration joins all of the other threads to execute the query. Once all threads have finished producing the complete set of output, the thread then proceeds to enumerating the output. This has the benefit that all processing power is ...
physically partitioning the text data and Oracle Text indexes (using local partitioned indexes) and ensuring that partitions are handled by separate Oracle RAC nodes. This way, you avoid duplication of the cache contents across multiple nodes and, therefore, maximize the benefit of Oracle RAC cache...
The processing of bitmap queries is inherently parallel in structure, which suggests they could benefit from concurrent computer systems. In particular, bitmap-range queries offer a highly parallel computational problem, and the hardware features of graphics processing units (GPUs) offer an alluring ...
Further, all three algorithms can benefit from the increased degree of query overlap, as the distribution changes from Uniform to Zipf and then the exponent α in Zipf increases. In fact, as the sharing continues to enhance, the performance gap between these algorithms shrinks. This is because ...
the thread then proceeds to enumerating the output. This has the benefit that all processing power is devoted to creating the output as quickly as possible. It is also slightly more efficient than pipelined processing because there is less incremental synchronization overhead in the implementation: ...
The GPU handles queries that can be GPU-accelerated, while queries that the GPU cannot handle fall back to the CPU. This hybrid execution model—where GPU and CPU are used in tandem—makes Polars highly flexible. You benefit from GPU acceleration without sacrificing compatibility for queries not...
The bucketing on the join column enables us to join specific buckets from two tables with data overlapping on the join column. Effectively, we execute exactly one part of the complete join operation and only incur the cost of it. The hashing function on the ID has the additional benefit of...
Complex logic in functions like next_retry and compute_bool_from_expr would benefit from additional comments explaining their intent and edge cases. Reason this comment was not posted: Comment was not on a location in the diff, so it can't be submitted as a review comment. ...
When reaching its maximum storage capacity, Materialize offloads any additional data on disk, but Memoize does not (because that would void any benefit of caching). Below is a plan with a Memorize node: EXPLAIN SELECT * FROM flights f ...