Staged database system design being a rather recent approach, it is unavoidable to implement benchmarks in order to compare QPipe and other DBMS (commercial and open-source). QPipe uses pre-compiled query execution plans, implemented in C++ and concatenating stages, each of which implementing ...
In addition, ByteDance has also made functional and performance enhancements, such as supporting a single Stage to handle multiple Joins, so that the number of Stages and some unnecessary transfers can be reduced, and the entire Join process can be completed with one single Stage. If an exceptio...
In parallel with the evolution of the DBMS landscape over the past decade, advancements in hardware platforms have facilitated the application of machine learning (ML) algorithms in various areas. This progress has been particularly enhanced by innovations in Graphic Processing Units (GPUs) and custom...
官方说法:Pipelining is the foundational technique used to make CPUs fast wherein multiple instructions are overlapped during their execution。 通过pipelining技术,可以让多条指令 重叠执行。它灵感来源于,汽车装配流程线。CPU的指令会被划分为多个stages,不同指令的不同stage是可以并行操作,通过多个硬件处理单元 并...
In VIGOR, Alexis starts by enter- ing a query written in the Cypher query language from the popular Neo4j (http://neo4j.com) DBMS. Her query appears graphically in our Exemplar View, where she verifies that she correctly specified the right structur...
However, these default techniques could slow down the query processing, especially with the OLAP Cube query, when joining several tables and executing complex aggregate functions. In the same vein, commercial Database Management Systems (DBMSs) such as Teradata[22], Netezza[23], Oracle[24], SQL...
2.2 SQL on Hadoop Processing analytics queries on Hadoop is becoming in- creasingly popular. Initially, the queries were expressed as MapReduce jobs and the Hadoop's appeal was attributed to its scalability and fault-tolerance. Coding, manually op- timizing and maintaining complex queries in Map...
Optimizing performance of query plans is important for the DBMS. Performance of a query plan can be described in terms of time (e.g., time required to execute the query plan) and/or burden on computing resources (e.g., processing power and/or memory expended to execute the query plan)....
Returning to a consideration of FIG. 1, the mapper engine 20 will review and pull information from the virtual mappings database 22. At various stages during its method search process, the mapper engine 20 may determine that a number of particular transactions can satisfy the SQL statement reque...
processing the analyzed expression for executing the query, wherein each entity includes one of the database system and the interface associated with the referenced non-relational data source;providing at least one indicator for each of the analyzed expressions, wherein each indicator is associated ...