Application Scenarios
OmniData
OmniData is best suited for big data compute-storage decoupled or large-scale convergence scenarios where a large number of compute nodes read data from remote nodes. Such application scenarios swallow network bandwidth because a large amount of raw data is transmitted from storage nodes to compute nodes over the network while the proportion of valid data is generally low.
OmniOperator
OmniOperator applies to the data analysis engine, which converts user-input SQL statements into operators. OmniOperator provides native operators to replace the analysis engine operators, accelerating analysis engine execution and improving analysis performance.
OmniData Combined with OmniOperator
Combine OmniData and OmniOperator to bring more performance benefits.
OmniShuffle Combined with OmniOperator
After OmniOperator is used, shuffle data is still written to drives. When shuffle-intensive jobs are performed, a large amount of data still needs to be exchanged across nodes after the Map process is complete. Combining OmniShuffle and OmniOperator brings more performance benefits.