I am unable to run the program with "--is_run True". Full error: Traceback (most recent call last): File "main.py", line 92, in <module> tf.app.run() File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 3...
Iterator[Product2[K, C]])] = { val usingMap = aggregator.isDefined val collection: Writ...
rdd.map(r=>println(dereferencedVariable))// "this" is not serialized 相关地,注解 @transient 用来标识某变量不要被序列化,这对于将大对象从序列化的陷阱中排除掉是很有用的。另外,注意 class 之间的继承层级关系,有时候一个小的 case class 可能来自一棵大树。 文件读写 文件存储和读取的优化。比如对于一...
* needs to be read from a given range of map output partitions (startPartition is included but * endPartition is excluded from the range). * * @return A sequence of 2-item tuples, where the first item in the tuple is a BlockManagerId, * and the second item is a sequence of (shuf...
JVM parameter of the Map subtask. If this parameter is set, it will replace themapred.child.java.optsparameter. If-Xmxis not set, the value ofXmxis calculated based onmapreduce.map.memory.mbandmapreduce.job.heap.memory-mb.ratio.
[CELEBORN-1720] Prevent stage re-run if another task attempt is runnin… 4个月前 client-spark [CELEBORN-1983] Fix fetch fail not throw due to reach spark maxTaskFailures 8天前 client-tez [CELEBORN-1720][FOLLOWUP] Fix compilation error of CelebornTezReader f… ...
logInfo("failed: " +failedStages)if(stage.shuffleDep.isDefined) {//We supply true to increment the epoch number here in case this is a//recomputation of the map outputs. In that case, some nodes may have cached//locations with holes (from when we detected the error) and will need th...
// TODO: Only increment the epoch number if this is not the first time // we registered these map outputs. /* * Shuffle Stage的任务等待队列没有任务之后,将这个Stage的所有ShuffleMapTask的返回结果保存到MapOutputTrackerMaster * */ mapOutputTracker.registerMapOutputs( shuffleStage.shuffleDep.shuffle...
(dep.aggregator.isDefined) { // 需要聚合 if (dep.mapSideCombine) { // 需要map端聚合 // We are reading values that are already combined val combinedKeyValuesIterator = interruptibleIter.asInstanceOf[Iterator[(K, C)]] dep.aggregator.get.combineCombinersByKey(combinedKeyValuesIterator, context)...
RDD(Resilient Distributed Datasets),弹性分布式数据集,它是对分布式数据集的一种内存抽象,通过受限的共享内存方式来提供容错性,同时这种内存模型使得计算比传统的数据流模型要高效。RDD 具有 5 个重要的特性,如下图所示: 上图展示了 2 个 RDD 进行 JOIN 操作,体现了 RDD 所具备的 5 个主要特性,如下所...