PostgreSQL - Performance TuningYou wrote a query using a Hash Join but PostgreSQL throws an error about memory. What is the likely cause?AThe tables are not sortedBNested Loop Join is disabledCThe hash table exceeded work_mem limitDMerge Join requires indexesCheck Answer
Step-by-Step SolutionSolution:Step 1: Understand Hash Join memory usageHash Join builds a hash table in memory; if it exceeds work_mem, it fails.Step 2: Eliminate unrelated causesSorting is not required for Hash Join, disabling Nested Loop or indexes for Merge Join are unrelated to this error.Final Answer:The hash table exceeded work_mem limit -> Option CQuick Check:Hash Join memory error = work_mem exceeded [OK]Quick Trick: Hash Join needs enough work_mem to build hash table [OK]Common Mistakes:Blaming lack of sorting for Hash Join errorConfusing join algorithm settings with memory errorsAssuming Merge Join needs indexes for error
Master "Performance Tuning" in PostgreSQL9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
More PostgreSQL Quizzes Advanced Features - Why PostgreSQL advanced features matter - Quiz 5medium Advanced PL/pgSQL - Cursor declaration and usage - Quiz 10hard Advanced PL/pgSQL - Functions returning SETOF - Quiz 6medium Indexing Strategies - Index-only scans mental model - Quiz 15hard Indexing Strategies - Covering indexes with INCLUDE - Quiz 9hard Indexing Strategies - BRIN index for large sequential data - Quiz 9hard Performance Tuning - Work_mem and effective_cache_size tuning - Quiz 5medium Performance Tuning - pg_stat_statements for slow queries - Quiz 15hard Table Partitioning - Range partitioning by date - Quiz 4medium Triggers in PostgreSQL - AFTER trigger behavior - Quiz 3easy