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Hive_HIVE Optimization Guide_Scenario 6_By letting the MAP end, take more tasks to reduce the computational cost and data transmission cost of Reducer
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2020-04-13 19:20:49
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https://blog.csdn.net/u010003835/article/details/105334641
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Scenario 6. Reduce the computational cost and data transmission cost of the reducer by letting the MAP end perform more tasks.
1) The way of MAP JOIN
2) MAP AGGR, pre-aggregation on the Map side
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Hive_HIVE Optimization Guide_Scenario 6_By letting the MAP end, take more tasks to reduce the computational cost and data transmission cost of Reducer
Hive_Hive optimization guide
Hive_HIVE Optimization Guide_Scenario 6_En laissant la MAP se terminer, prenez plus de tâches pour réduire le coût de calcul et le coût de transmission de données de Reducer
Hive_HIVE optimization guide_scene eight_data cropping problem
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Hive_HIVE Optimization Guide_Scenario 6_Wenn Sie den MAP beenden, übernehmen Sie mehr Aufgaben, um die Rechenkosten und die Datenübertragungskosten von Reducer zu senken
Hive_HIVE Optimization Guide_Scenario 6_Permitiendo que finalice el MAP, realice más tareas para reducir el costo computacional y el costo de transmisión de datos de Reducer
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