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Spark executors sit Pending for hours because the default scheduler fragments them across nodes. Can you bring in a different scheduler?

Multiple schedulers are supported, rarely understood, and dangerous in a specific way. The strong answer names the deadlock that gang scheduling fixes and the capacity race it can open.

Updated Sep 2026 · Grounded in researched DevOps, SRE and platform engineering interview loops, written to a senior-engineer editorial bar, and never padded to hit a word count.

Multiple schedulers are supported, rarely understood, and dangerous in a specific way. The strong answer names the deadlock that gang scheduling fixes and the capacity race it can open.

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UP NEXT ON YOUR JOURNEY

Next in this trackWalk me through everything that happens between docker pull and the image being ready to run.Next in this trackA developer applies a PVC and nothing happens. Walk me through dynamic provisioning and the StorageClass decisions that shape it.Next in this trackTen teams share one cluster and one team's cron job ate every node. What enforces fairness mechanically?

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