Spark(Python) 从内存中建立 RDD 的例子
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Spark(Python) 从内存中建立 RDD 的例子：
myData = ["Alice","Carlos","Frank","Barbara"]
myRdd = sc.parallelize(myData)
myRdd.take(2)
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In [52]: myData = ["Alice","Carlos","Frank","Barbara"]
In [53]: myRdd = sc.parallelize(myData)
In [54]: myRdd.take(2)
17/09/24 02:40:10 INFO spark.SparkContext: Starting job: runJob at PythonRDD.scala:393
17/09/24 02:40:10 INFO scheduler.DAGScheduler: Got job 5 (runJob at PythonRDD.scala:393) with 1 output partitions
17/09/24 02:40:10 INFO scheduler.DAGScheduler: Final stage: ResultStage 5 (runJob at PythonRDD.scala:393)
17/09/24 02:40:10 INFO scheduler.DAGScheduler: Parents of final stage: List()
17/09/24 02:40:10 INFO scheduler.DAGScheduler: Missing parents: List()
17/09/24 02:40:10 INFO scheduler.DAGScheduler: Submitting ResultStage 5 (PythonRDD[32] at RDD at PythonRDD.scala:43), which has no missing parents
17/09/24 02:40:10 INFO storage.MemoryStore: Block broadcast_16 stored as values in memory (estimated size 3.2 KB, free 1767.1 KB)
17/09/24 02:40:10 INFO storage.MemoryStore: Block broadcast_16_piece0 stored as bytes in memory (estimated size 2.2 KB, free 1769.3 KB)
17/09/24 02:40:10 INFO storage.BlockManagerInfo: Added broadcast_16_piece0 in memory on localhost:33950 (size: 2.2 KB, free: 208.7 MB)
17/09/24 02:40:10 INFO spark.SparkContext: Created broadcast 16 from broadcast at DAGScheduler.scala:1006
17/09/24 02:40:10 INFO scheduler.DAGScheduler: Submitting 1 missing tasks from ResultStage 5 (PythonRDD[32] at RDD at PythonRDD.scala:43)
17/09/24 02:40:10 INFO scheduler.TaskSchedulerImpl: Adding task set 5.0 with 1 tasks
17/09/24 02:40:10 INFO scheduler.TaskSetManager: Starting task 0.0 in stage 5.0 (TID 5, localhost, partition 0,PROCESS_LOCAL, 2028 bytes)
17/09/24 02:40:10 INFO executor.Executor: Running task 0.0 in stage 5.0 (TID 5)
17/09/24 02:40:11 INFO python.PythonRunner: Times: total = 41, boot = 20, init = 14, finish = 7
17/09/24 02:40:11 INFO executor.Executor: Finished task 0.0 in stage 5.0 (TID 5). 979 bytes result sent to driver
17/09/24 02:40:11 INFO scheduler.DAGScheduler: ResultStage 5 (runJob at PythonRDD.scala:393) finished in 0.423 s
17/09/24 02:40:11 INFO scheduler.DAGScheduler: Job 5 finished: runJob at PythonRDD.scala:393, took 0.648315 s
17/09/24 02:40:11 INFO scheduler.TaskSetManager: Finished task 0.0 in stage 5.0 (TID 5) in 423 ms on localhost (1/1)
17/09/24 02:40:11 INFO scheduler.TaskSchedulerImpl: Removed TaskSet 5.0, whose tasks have all completed, from pool
Out[54]: [‘Alice‘, ‘Carlos‘]
In [55]:
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