Application tuning reduces round-trips and improves plan quality, but many systems still spend a large fraction of their time in batch work: nightly loads, report refreshes, backfills, and reprocessing jobs. Batch workloads are where seemingly small choices (array size, commit frequency, logging mode, parallelism) can change runtimes by orders of magnitude.
This chapter focuses on three outcomes that matter for batch workloads. ...
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