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QPM is available on Amazon Aurora PostgreSQL version 10.5-compatible (Aurora 2.1.0) and later and can be enabled in production (minimal overhead) and or enabled/disabled against your test working-sets with tools such as sysbench. I highly recommend turning this on under your test environments and also practice plan evolution (reviewing and approving plans) before applying QPM in production. Once applied to production a periodic review will be necessary to see if the optimizer has found better plans with a lower cost estimate that needs to be approved.
Analyzing the plan could be overwhelming sometimes and could use tools such as dalibo and depesz that help visualize your explain plans (Make sure to read the data retention policies on these tools and ideally anonymize your queries for security reasons before you upload your plans)!
Hoping something like the zheap storage engine initiative should help us get past these bottlenecks in the future. Until then we may not be able to prevent the bloat but could certainly minimize the impact.
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