Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Database query engines use pull-based or push-based approaches to avoid the materialization of data across query operators. ,  study these two types of query engines in depth and present the limitations and advantages of each engine. Similarly, the programming languages community has developed loop fusion techniques to remove intermediate collections in the context of collection programming.  draw parallels beten the DB and PL communities by demonstrating the connection beten pipelined query engines and loop fusion techniques. Based on this connection,  propose a new type of pull-based engine, inspired by a loop fusion technique, which combines the benefits of both approaches. Then  experimentally evaluate the various engines, in the context of query compilation, for the first time in a fair environment, eliminating the biasing impact of ancillary optimizations that have traditionally only been used with one of the approaches.  show that for realistic analytical workloads, there is no considerable advantage for either form of pipelined query engine, as opposed to what recent research suggests. Also, by using microbenchmarks  show that our proposed engine dominates the existing engines by combining the benefits of both.
['Amir Shaikhha', 'Mohammad Dashti', 'Christoph Koch']
I am writing a research paper on a idea Push vs. I am writing a research paper on a idea Pull-Based Loop Fusion in Query Engines
[{"from": "human", "value": "I am writing a research paper on a idea Push vs. I am writing a research paper on a idea Pull-Based Loop Fusion in Query Engines"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Database query engines use pull-based or push-based approaches to avoid the materialization of data across query operators. ,  study these two types of query engines in depth and present the limitations and advantages of each engine. Similarly, the programming languages community has developed loop fusion techniques to remove intermediate collections in the context of collection programming.  draw parallels beten the DB and PL communities by demonstrating the connection beten pipelined query engines and loop fusion techniques. Based on this connection,  propose a new type of pull-based engine, inspired by a loop fusion technique, which combines the benefits of both approaches. Then  experimentally evaluate the various engines, in the context of query compilation, for the first time in a fair environment, eliminating the biasing impact of ancillary optimizations that have traditionally only been used with one of the approaches.  show that for realistic analytical workloads, there is no considerable advantage for either form of pipelined query engine, as opposed to what recent research suggests. Also, by using microbenchmarks  show that our proposed engine dominates the existing engines by combining the benefits of both."}]