by Amit Kapila & Robert Haas
Unleashing a heard of elephants
Parallel query is close to becoming a reality in PostgreSQL! A year ago, much of the low-level infrastructure needed for parallelism, such as dynamic shared memory and dynamic background workers, had been completed, but no user-visible facilities made use of this infrastructure. Major work on error handling, transaction control, and state sharing has been completed, and further patches, including a patch for parallel sequential scan, are pending.
In this talk, we will talk about parallel sequential scan itself, including performance considerations, the work allocation strategy, and the cost model; and we will also discuss the infrastructure that supports parallel sequential scan, including state sharing for GUCs, transaction state, snapshots, and combo CIDs; error handling and transaction management; and the handling of heavyweight locking. Finally, we'll discuss the future of parallelism in PostgreSQL now that the basic infrastructure is (mostly) complete.
On this page of the site you can watch the video online Parallel Sequential Scan with a duration of hours minute second in good quality, which was uploaded by the user Andrea Ross 11 July 2015, share the link with friends and acquaintances, this video has already been watched 560 times on youtube and it was liked by 2 viewers. Enjoy your viewing!