The job failed with an OutOfMemoryError (OOME) at the child task attempt level, as indicated by the stacktrace. It was observed that certain mapreduce properties have been set, which may potentially overwrite the hive.tez.container.size property. SET mapreduce.map.java.opts=-Xmx3686m;
SET mapreduce.reduce.java.opts=-Xmx3686m;
SET mapred.child.java.opts=-Xmx10g; It is recommended to validate the yarn appLogs to confirm if the child task attempts were launched with 80% of the hive.tez.container.size. If not, it is advised to remove the mapreduce configurations and try re-running the job. Before re-running the query, it is suggested to collect statistics for all the source tables. This will assist the optimizer in creating a better execution plan.
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