标签：ini hdfs 2.4 access submit exec executor spark scheduler
对HDFS 上的文件，采用绝对路径，来读取获得 RDD:
In [102]: mydata=sc.textFile("file:/home/training/test.txt")
17/09/24 06:31:04 INFO storage.MemoryStore: Block broadcast_30 stored as values in memory (estimated size 230.5 KB, free 2.4 MB)
17/09/24 06:31:04 INFO storage.MemoryStore: Block broadcast_30_piece0 stored as bytes in memory (estimated size 21.5 KB, free 2.5 MB)
17/09/24 06:31:04 INFO storage.BlockManagerInfo: Added broadcast_30_piece0 in memory on localhost:33950 (size: 21.5 KB, free: 208.6 MB)
17/09/24 06:31:04 INFO spark.SparkContext: Created broadcast 30 from textFile at NativeMethodAccessorImpl.java:-2
In [103]: mydata.take(1)
17/09/24 06:31:09 INFO mapred.FileInputFormat: Total input paths to process : 1
17/09/24 06:31:09 INFO spark.SparkContext: Starting job: runJob at PythonRDD.scala:393
17/09/24 06:31:09 INFO scheduler.DAGScheduler: Got job 17 (runJob at PythonRDD.scala:393) with 1 output partitions
17/09/24 06:31:09 INFO scheduler.DAGScheduler: Final stage: ResultStage 17 (runJob at PythonRDD.scala:393)
17/09/24 06:31:09 INFO scheduler.DAGScheduler: Parents of final stage: List()
17/09/24 06:31:09 INFO scheduler.DAGScheduler: Missing parents: List()
17/09/24 06:31:09 INFO scheduler.DAGScheduler: Submitting ResultStage 17 (PythonRDD[50] at RDD at PythonRDD.scala:43), which has no missing parents
17/09/24 06:31:09 INFO storage.MemoryStore: Block broadcast_31 stored as values in memory (estimated size 4.8 KB, free 2.5 MB)
17/09/24 06:31:09 INFO storage.MemoryStore: Block broadcast_31_piece0 stored as bytes in memory (estimated size 3.0 KB, free 2.5 MB)
17/09/24 06:31:09 INFO storage.BlockManagerInfo: Added broadcast_31_piece0 in memory on localhost:33950 (size: 3.0 KB, free: 208.6 MB)
17/09/24 06:31:09 INFO spark.SparkContext: Created broadcast 31 from broadcast at DAGScheduler.scala:1006
17/09/24 06:31:09 INFO scheduler.DAGScheduler: Submitting 1 missing tasks from ResultStage 17 (PythonRDD[50] at RDD at PythonRDD.scala:43)
17/09/24 06:31:09 INFO scheduler.TaskSchedulerImpl: Adding task set 17.0 with 1 tasks
17/09/24 06:31:09 INFO scheduler.TaskSetManager: Starting task 0.0 in stage 17.0 (TID 17, localhost, partition 0,PROCESS_LOCAL, 2130 bytes)
17/09/24 06:31:09 INFO executor.Executor: Running task 0.0 in stage 17.0 (TID 17)
17/09/24 06:31:09 INFO rdd.HadoopRDD: Input split: file:/home/training/test.txt:0+34
17/09/24 06:31:10 INFO python.PythonRunner: Times: total = 28, boot = 11, init = 16, finish = 1
17/09/24 06:31:10 INFO executor.Executor: Finished task 0.0 in stage 17.0 (TID 17). 2158 bytes result sent to driver
17/09/24 06:31:10 INFO scheduler.DAGScheduler: ResultStage 17 (runJob at PythonRDD.scala:393) finished in 0.344 s
17/09/24 06:31:10 INFO scheduler.DAGScheduler: Job 17 finished: runJob at PythonRDD.scala:393, took 0.750241 s
17/09/24 06:31:10 INFO scheduler.TaskSetManager: Finished task 0.0 in stage 17.0 (TID 17) in 348 ms on localhost (1/1)
17/09/24 06:31:10 INFO scheduler.TaskSchedulerImpl: Removed TaskSet 17.0, whose tasks have all completed, from pool
Out[103]: [u‘This is a test 1‘]
In [104]:
[Spark][Python]对HDFS 上的文件，采用绝对路径，来读取获得 RDD
标签：ini hdfs 2.4 access submit exec executor spark scheduler
原文地址：http://www.cnblogs.com/gaojian/p/7588750.html
