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    Dataphin:Appendix: Typical scenarios of data exploration

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    Dataphin:Appendix: Typical scenarios of data exploration

    Last Updated:Jun 23, 2026

    Common issues and solutions for data exploration tasks across different compute engines.

    The following table describes typical scenarios.

    Compute engine

    Category

    Cause

    Solution

    Cloudera Data Platform 7.x

    Node error

    The engine optimizer is not functioning properly.

    set hive.optimize.shared.work = false;

    AsiaInfo DP5.3

    Memory overflow

    Map-side and Reduce-side memory overflow.

    set mapreduce.map.memory.mb=10150;

    set mapreduce.map.java.opts=-Xmx6144m;

    set mapreduce.reduce.memory.mb=10150;

    set mapreduce.reduce.java.opts=-Xmx8120m;

    E-MapReduce 3.x, E-MapReduce 5.x, CDH 5.x, CDH 6.x, FusionInsight 8.x, Cloudera Data Platform 7.x, AsiaInfo DP5.3

    Slow execution speed

    The job concurrency setting is too low.

    set hive.exec.parallel=true;

    set hive.exec.parallel.thread.number=16;