org.apache.spark.SparkException:job aborted due to stage failure spark driver maxResultSize (1024)

org.apache.spark.SparkException:job aborted due to stage failure spark driver maxResultSize (1024)

本地local模式运行报spark.driver.maxResultSize超出1024M,

接下来分解决方法、参数含义及默认值等维度说明。

一、解决方法：

增大spark.driver.maxResultSize，设置方式是
sparkConf.set("spark.driver.maxResultSize", "4g")
二、参数含义及默认值：

Limit of total size of serialized results of all partitions for each Spark action (e.g. collect). Should be at least 1M, or 0 for unlimited. Jobs will be aborted if the total size is above this limit. Having a high limit may cause out-of-memory errors in driver (depends on spark.driver.memory and memory overhead of objects in JVM). Setting a proper limit can protect the driver from out-of-memory errors.

每个Spark　action的所有分区的序列化结果的总大小限制（例如，collect行动算子）。 应该至少为1M，或者为无限制。 如果超过1g，job将被中止。 如果driver.maxResultSize设置过大可能会超出内存（取决于spark.driver.memory和JVM中对象的内存开销）。 设置适当的参数限制可以防止内存不足。

Ref、

１、https://www.fashici.com/tech/215.html

２、http://spark.apache.org/docs/1.6.1/configuration.html

3、http://bourneli.github.io/scala/spark/2016/09/21/spark-driver-maxResultSize-puzzle.html