Hadoop - Performance TuningA Hadoop job is slow because reducers are waiting too long for map outputs. What tuning can reduce this delay?AIncrease the number of reducers to parallelize reduce phaseBIncrease map task memory to speed up map completionCDecrease the number of mappers to reduce shuffle dataDSet speculative execution to falseCheck Answer
Step-by-Step SolutionSolution:Step 1: Identify cause of reducer waitingReducers wait for all map tasks to finish and shuffle data before starting.Step 2: Tune map task memory to speed map completionIncreasing map memory helps map tasks finish faster, reducing reducer wait time.Final Answer:Increase map task memory to speed up map completion -> Option BQuick Check:Map memory up = Less reducer wait [OK]Quick Trick: Boost map memory to reduce reducer wait time [OK]Common Mistakes:Increasing reducers doesn't reduce map waitDecreasing mappers may slow jobDisabling speculative execution unrelated here
Master "Performance Tuning" in Hadoop9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
More Hadoop Quizzes Cluster Administration - Log management and troubleshooting - Quiz 14medium Cluster Administration - Cluster planning and sizing - Quiz 9hard Modern Data Architecture with Hadoop - Migration from Hadoop to cloud-native - Quiz 15hard Modern Data Architecture with Hadoop - Migration from Hadoop to cloud-native - Quiz 2easy Modern Data Architecture with Hadoop - Data lake design patterns - Quiz 11easy Modern Data Architecture with Hadoop - Kappa architecture (streaming only) - Quiz 1easy Performance Tuning - Compression codecs (Snappy, LZO, Gzip) - Quiz 11easy Performance Tuning - Data serialization (Avro, Parquet, ORC) - Quiz 13medium Security - Why Hadoop security protects sensitive data - Quiz 5medium Security - Why Hadoop security protects sensitive data - Quiz 11easy