![]() ![]() Like many performance challenges with Spark, the symptoms increase as the scale of data handled by the application increases. The second part of our series “Why Your Spark Apps Are Slow or Failing” follows Part I on memory management and deals with issues that arise with data skew and garbage collection in Spark.
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