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。
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
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 seriali...
今天遇到了
spark
.
driver
.
max
Result
Size
的异常，通过增大该值解决了，但是其运行机制不是很明白，先
记录
在这里，希望后面有机会可以明白背后的机制。
该异常会报如下的异常信息:
Job aborted due to stage failure: Total
size
of serialized
result
s of 3979 tasks (1024.2 MB) is bigger than
spark
.
driver
.
max
Result
Size
(1024.0 MB)
锁定了是sp...
最近有个需求需要union 上千甚至更多的dataset数据，然后cache(),然后count(),在执行count(）这个action操作的时候，
spark
程序报错，如下：
org.apache.
spark
.
Spark
Exception: Job aborted due to stage failure: Total
size
of serialized
result
s of 16092 tasks (16.0 GB) is bigger than
spark
.
driver
.
max
Result
Size
.builder \
.appName("Python
Spark
SQL basic example") \
.config("
spark
.memory.fraction", 0.8) \
INFO org.apache.
spark
.deploy.yarn.ApplicationMaster:
Unregistering ApplicationMaster with FAILED
(diag message:
User class threw exception:
org.apache.
spark
.
Spark
Exception:
Job aborted
16/03/11 12:05:56 ERROR TaskSetManager: Total
size
of serialized
result
s of 4 tasks (1800.7 MB) is bigger than
spark
.
driver
.
max
Result
Size
(1024.0 MB) java.lang.OutOfMemoryError: Direct buffer memory
Shuffle Map Task运算结果的处理
这个结果的处理，分为两部分，一个是在Executor端是如何直接处理Task的结果的；还有就是
Driver
端，如果在接到Task运行结束的消息时，如何对Shuffle Write的结果进行处理，从而在调度下游的Task时，下游的Task可以得到其需要的数据。
Executor端的处理
在解析BasicShu...
一.异常信息
Total
size
of serialized
result
s of 12189 tasks is bigger than
spark
.
driver
.
max
Result
Size
1024M
.
Total
size
of serialized
result
s of 12082 tasks is bigger than
spark
.
driver
.
max
Result
Size
1024M
.
Total
size
of serialized
result
s of 12131 tasks is bigg
