Why it matters

Systematic troubleshooting beats guessing. Understanding common issues + fixes speeds resolution.

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The architecture

OOM: executor or driver runs out.

Skew: some tasks take 10x longer.

Slow shuffle: shuffle read/write dominates.

Stragglers: same as skew or bad hardware.

Common Spark issuesOOMraise memory or reduce loadSkewsalt or AQESlow shufflereduce volume or upgrade netPost-shuffle partition count: too few = big partitions; too many = overhead
Standard fixes.
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How it works end to end

OOM: increase executor memory, reduce partition size, use disk spill, avoid collect().

Skew: salt keys, use AQE skew join, split hot keys.

Shuffle: reduce volume via combiner, use broadcast, tune partition count.

Stragglers: speculative execution.