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Event-driven beats cron once landing time gets unpredictable.
Interview follow-up got me thinking, how do you actually implement this in production?
Context: What metrics do you alert on for batch pipelines?
Happy to share schema snippets or metrics if useful.
Event-driven beats cron once landing time gets unpredictable.
Quick plain-English version: the database is doing more work than it needs to because it can't tell in advance which rows actually match. An index is basically a shortcut list so it doesn't have to check every single row.
+1, saw identical behaviour after upgrading Spark 3.4 to 3.5.
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