我正在使用pysam，一个python库，用于在Spark中读取BAM文件。我创建了一个包含＆＃34; BAM＆＃34;的RDD。数据。当我尝试filter数据时，使用类query_sequence（pysam库）的属性AlignedSegment，然后火花崩溃。运行data.count()和data.first()运行正常。我是Spark的新手。
这是我的代码：
samfile = pysam.AlignmentFile("testfile.bam", "rb")
iter = samfile.fetch("20", until_eof=True)
data = sc.parallelize(iter)
data.count()
data.first()
data.filter(lambda read: 'A' in read.query_sequence).count()
我正在获得以下输出：
16/05/19 18:07:54 INFO SparkContext: Running Spark version 1.6.1
16/05/19 18:07:54 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/05/19 18:07:55 WARN Utils: Your hostname, group13 resolves to a loopback address: 127.0.1.1; using 192.168.1.55 instead (on interface eth0)
16/05/19 18:07:55 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
16/05/19 18:07:55 INFO SecurityManager: Changing view acls to: ubuntu
16/05/19 18:07:55 INFO SecurityManager: Changing modify acls to: ubuntu
16/05/19 18:07:55 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(ubuntu); users with modify permissions: Set(ubuntu)
16/05/19 18:07:55 INFO Utils: Successfully started service 'sparkDriver' on port 44348.
16/05/19 18:07:56 INFO Slf4jLogger: Slf4jLogger started
16/05/19 18:07:56 INFO Remoting: Starting remoting
16/05/19 18:07:56 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriverActorSystem@192.168.1.55:60148]
16/05/19 18:07:56 INFO Utils: Successfully started service 'sparkDriverActorSystem' on port 60148.
16/05/19 18:07:56 INFO SparkEnv: Registering MapOutputTracker
16/05/19 18:07:56 INFO SparkEnv: Registering BlockManagerMaster
16/05/19 18:07:56 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-f2a7e393-0b9c-46fd-8b18-9463f7db8b71
16/05/19 18:07:56 INFO MemoryStore: MemoryStore started with capacity 511.5 MB
16/05/19 18:07:56 INFO SparkEnv: Registering OutputCommitCoordinator
16/05/19 18:07:56 INFO Server: jetty-8.y.z-SNAPSHOT
16/05/19 18:07:56 INFO AbstractConnector: Started SelectChannelConnector@0.0.0.0:4040
16/05/19 18:07:56 INFO Utils: Successfully started service 'SparkUI' on port 4040.
16/05/19 18:07:56 INFO SparkUI: Started SparkUI at http://192.168.1.55:4040
16/05/19 18:07:57 INFO Utils: Copying /home/ubuntu/LDSA-1000-genomes-alexa/readBam.py to /tmp/spark-e1bbcc0c-b7f8-47d1-b01b-c88556d483c8/userFiles-099a04e4-51dd-4273-bc3e-04b587f3bfb9/readBam.py
16/05/19 18:07:57 INFO SparkContext: Added file file:/home/ubuntu/LDSA-1000-genomes-alexa/readBam.py at file:/home/ubuntu/LDSA-1000-genomes-alexa/readBam.py with timestamp 1463681277070
16/05/19 18:07:57 INFO Executor: Starting executor ID driver on host localhost
16/05/19 18:07:57 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 56004.
16/05/19 18:07:57 INFO NettyBlockTransferService: Server created on 56004
16/05/19 18:07:57 INFO BlockManagerMaster: Trying to register BlockManager
16/05/19 18:07:57 INFO BlockManagerMasterEndpoint: Registering block manager localhost:56004 with 511.5 MB RAM, BlockManagerId(driver, localhost, 56004)
16/05/19 18:07:57 INFO BlockManagerMaster: Registered BlockManager
Warning: The index file is older than the data file: LDSA-1000-genomes-alexa/testfile.bam.bai
16/05/19 18:08:57 INFO SparkContext: Starting job: count at /home/ubuntu/LDSA-1000-genomes-alexa/readBam.py:12
16/05/19 18:08:57 INFO DAGScheduler: Got job 0 (count at /home/ubuntu/LDSA-1000-genomes-alexa/readBam.py:12) with 1 output partitions
16/05/19 18:08:57 INFO DAGScheduler: Final stage: ResultStage 0 (count at /home/ubuntu/LDSA-1000-genomes-alexa/readBam.py:12)
16/05/19 18:08:57 INFO DAGScheduler: Parents of final stage: List()
16/05/19 18:08:57 INFO DAGScheduler: Missing parents: List()
16/05/19 18:08:57 INFO DAGScheduler: Submitting ResultStage 0 (PythonRDD[1] at count at /home/ubuntu/LDSA-1000-genomes-alexa/readBam.py:12), which has no missing parents
16/05/19 18:08:58 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 4.1 KB, free 4.1 KB)
16/05/19 18:08:58 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 2.6 KB, free 6.8 KB)
16/05/19 18:08:58 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on localhost:56004 (size: 2.6 KB, free: 511.5 MB)
16/05/19 18:08:58 INFO SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:1006
16/05/19 18:08:58 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 0 (PythonRDD[1] at count at /home/ubuntu/LDSA-1000-genomes-alexa/readBam.py:12)
16/05/19 18:08:58 INFO TaskSchedulerImpl: Adding task set 0.0 with 1 tasks
16/05/19 18:08:58 WARN TaskSetManager: Stage 0 contains a task of very large size (31693 KB). The maximum recommended task size is 100 KB.
16/05/19 18:08:58 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, localhost, partition 0,PROCESS_LOCAL, 32453927 bytes)
16/05/19 18:08:58 INFO Executor: Running task 0.0 in stage 0.0 (TID 0)
16/05/19 18:08:58 INFO Executor: Fetching file:/home/ubuntu/LDSA-1000-genomes-alexa/readBam.py with timestamp 1463681277070
16/05/19 18:08:58 INFO Utils: /home/ubuntu/LDSA-1000-genomes-alexa/readBam.py has been previously copied to /tmp/spark-e1bbcc0c-b7f8-47d1-b01b-c88556d483c8/userFiles-099a04e4-51dd-4273-bc3e-04b587f3bfb9/readBam.py
16/05/19 18:09:00 INFO PythonRunner: Times: total = 2030, boot = 202, init = 13, finish = 1815
16/05/19 18:09:00 INFO Executor: Finished task 0.0 in stage 0.0 (TID 0). 998 bytes result sent to driver
16/05/19 18:09:00 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 2502 ms on localhost (1/1)
16/05/19 18:09:00 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool
16/05/19 18:09:00 INFO DAGScheduler: ResultStage 0 (count at /home/ubuntu/LDSA-1000-genomes-alexa/readBam.py:12) finished in 2.522 s
16/05/19 18:09:00 INFO DAGScheduler: Job 0 finished: count at /home/ubuntu/LDSA-1000-genomes-alexa/readBam.py:12, took 2.749181 s
16/05/19 18:09:00 INFO SparkContext: Starting job: runJob at PythonRDD.scala:393
16/05/19 18:09:00 INFO DAGScheduler: Got job 1 (runJob at PythonRDD.scala:393) with 1 output partitions
16/05/19 18:09:00 INFO DAGScheduler: Final stage: ResultStage 1 (runJob at PythonRDD.scala:393)
16/05/19 18:09:00 INFO DAGScheduler: Parents of final stage: List()
16/05/19 18:09:00 INFO DAGScheduler: Missing parents: List()
16/05/19 18:09:00 INFO DAGScheduler: Submitting ResultStage 1 (PythonRDD[2] at RDD at PythonRDD.scala:43), which has no missing parents
16/05/19 18:09:00 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 3.2 KB, free 10.0 KB)
16/05/19 18:09:00 INFO MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 2.2 KB, free 12.2 KB)
16/05/19 18:09:00 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on localhost:56004 (size: 2.2 KB, free: 511.5 MB)
16/05/19 18:09:00 INFO SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:1006
16/05/19 18:09:00 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 1 (PythonRDD[2] at RDD at PythonRDD.scala:43)
16/05/19 18:09:00 INFO TaskSchedulerImpl: Adding task set 1.0 with 1 tasks
16/05/19 18:09:00 WARN TaskSetManager: Stage 1 contains a task of very large size (31693 KB). The maximum recommended task size is 100 KB.
16/05/19 18:09:00 INFO TaskSetManager: Starting task 0.0 in stage 1.0 (TID 1, localhost, partition 0,PROCESS_LOCAL, 32453927 bytes)
16/05/19 18:09:00 INFO Executor: Running task 0.0 in stage 1.0 (TID 1)
16/05/19 18:09:00 INFO PythonRunner: Times: total = 2, boot = -352, init = 353, finish = 1
16/05/19 18:09:00 INFO Executor: Finished task 0.0 in stage 1.0 (TID 1). 1037 bytes result sent to driver
16/05/19 18:09:00 INFO TaskSetManager: Finished task 0.0 in stage 1.0 (TID 1) in 289 ms on localhost (1/1)
16/05/19 18:09:00 INFO DAGScheduler: ResultStage 1 (runJob at PythonRDD.scala:393) finished in 0.286 s
16/05/19 18:09:00 INFO TaskSchedulerImpl: Removed TaskSet 1.0, whose tasks have all completed, from pool
16/05/19 18:09:00 INFO DAGScheduler: Job 1 finished: runJob at PythonRDD.scala:393, took 0.304149 s
16/05/19 18:09:01 INFO SparkContext: Starting job: count at /home/ubuntu/LDSA-1000-genomes-alexa/readBam.py:15
16/05/19 18:09:01 INFO DAGScheduler: Got job 2 (count at /home/ubuntu/LDSA-1000-genomes-alexa/readBam.py:15) with 1 output partitions
16/05/19 18:09:01 INFO DAGScheduler: Final stage: ResultStage 2 (count at /home/ubuntu/LDSA-1000-genomes-alexa/readBam.py:15)
16/05/19 18:09:01 INFO DAGScheduler: Parents of final stage: List()
16/05/19 18:09:01 INFO DAGScheduler: Missing parents: List()
16/05/19 18:09:01 INFO DAGScheduler: Submitting ResultStage 2 (PythonRDD[3] at count at /home/ubuntu/LDSA-1000-genomes-alexa/readBam.py:15), which has no missing parents
16/05/19 18:09:01 INFO MemoryStore: Block broadcast_2 stored as values in memory (estimated size 4.5 KB, free 16.7 KB)
16/05/19 18:09:01 INFO MemoryStore: Block broadcast_2_piece0 stored as bytes in memory (estimated size 2.9 KB, free 19.6 KB)
16/05/19 18:09:01 INFO BlockManagerInfo: Added broadcast_2_piece0 in memory on localhost:56004 (size: 2.9 KB, free: 511.5 MB)
16/05/19 18:09:01 INFO SparkContext: Created broadcast 2 from broadcast at DAGScheduler.scala:1006
16/05/19 18:09:01 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 2 (PythonRDD[3] at count at /home/ubuntu/LDSA-1000-genomes-alexa/readBam.py:15)
16/05/19 18:09:01 INFO TaskSchedulerImpl: Adding task set 2.0 with 1 tasks
16/05/19 18:09:01 WARN TaskSetManager: Stage 2 contains a task of very large size (31693 KB). The maximum recommended task size is 100 KB.
16/05/19 18:09:01 INFO TaskSetManager: Starting task 0.0 in stage 2.0 (TID 2, localhost, partition 0,PROCESS_LOCAL, 32453927 bytes)
16/05/19 18:09:01 INFO Executor: Running task 0.0 in stage 2.0 (TID 2)
16/05/19 18:09:01 ERROR Executor: Exception in task 0.0 in stage 2.0 (TID 2)
org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:203)
at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:207)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.EOFException
at java.io.DataInputStream.readInt(DataInputStream.java:392)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:139)
... 11 more
16/05/19 18:09:01 WARN TaskSetManager: Lost task 0.0 in stage 2.0 (TID 2, localhost): org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:203)
at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:207)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.EOFException
at java.io.DataInputStream.readInt(DataInputStream.java:392)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:139)
... 11 more
16/05/19 18:09:01 ERROR TaskSetManager: Task 0 in stage 2.0 failed 1 times; aborting job
16/05/19 18:09:01 INFO TaskSchedulerImpl: Removed TaskSet 2.0, whose tasks have all completed, from pool
16/05/19 18:09:01 INFO TaskSchedulerImpl: Cancelling stage 2
16/05/19 18:09:01 INFO DAGScheduler: ResultStage 2 (count at /home/ubuntu/LDSA-1000-genomes-alexa/readBam.py:15) failed in 0.451 s
16/05/19 18:09:01 INFO DAGScheduler: Job 2 failed: count at /home/ubuntu/LDSA-1000-genomes-alexa/readBam.py:15, took 0.464958 s
Traceback (most recent call last):
File "/home/ubuntu/LDSA-1000-genomes-alexa/readBam.py", line 15, in <module>
data.filter(lambda read: 'A' in read.query_sequence).count()
File "/home/ubuntu/spark-1.6.1/python/lib/pyspark.zip/pyspark/rdd.py", line 1004, in count
File "/home/ubuntu/spark-1.6.1/python/lib/pyspark.zip/pyspark/rdd.py", line 995, in sum
File "/home/ubuntu/spark-1.6.1/python/lib/pyspark.zip/pyspark/rdd.py", line 869, in fold
File "/home/ubuntu/spark-1.6.1/python/lib/pyspark.zip/pyspark/rdd.py", line 771, in collect
File "/home/ubuntu/spark-1.6.1/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py", line 813, in __call__
File "/home/ubuntu/spark-1.6.1/python/lib/py4j-0.9-src.zip/py4j/protocol.py", line 308, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 1 times, most recent failure: Lost task 0.0 in stage 2.0 (TID 2, localhost): org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:203)
at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:207)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.EOFException
at java.io.DataInputStream.readInt(DataInputStream.java:392)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:139)
... 11 more
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
at org.apache.spark.rdd.RDD.collect(RDD.scala:926)
at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:405)
at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)
at py4j.Gateway.invoke(Gateway.java:259)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:209)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:203)
at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:207)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
... 1 more
Caused by: java.io.EOFException
at java.io.DataInputStream.readInt(DataInputStream.java:392)
at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:139)
... 11 more
16/05/19 18:09:01 INFO SparkContext: Invoking stop() from shutdown hook
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/metrics/json,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/stages/stage/kill,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/api,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/static,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/executors/threadDump/json,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/executors/threadDump,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/executors/json,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/executors,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/environment/json,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/environment,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/storage/rdd/json,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/storage/rdd,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/storage/json,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/storage,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/stages/pool/json,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/stages/pool,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/stages/stage/json,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/stages/stage,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/stages/json,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/stages,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/jobs/job/json,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/jobs/job,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/jobs/json,null}
16/05/19 18:09:01 INFO ContextHandler: stopped o.e.j.s.ServletContextHandler{/jobs,null}
16/05/19 18:09:01 INFO SparkUI: Stopped Spark web UI at http://192.168.1.55:4040
16/05/19 18:09:01 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
16/05/19 18:09:01 INFO MemoryStore: MemoryStore cleared
16/05/19 18:09:01 INFO BlockManager: BlockManager stopped
16/05/19 18:09:01 INFO BlockManagerMaster: BlockManagerMaster stopped
16/05/19 18:09:01 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
16/05/19 18:09:01 INFO SparkContext: Successfully stopped SparkContext
16/05/19 18:09:01 INFO ShutdownHookManager: Shutdown hook called
16/05/19 18:09:01 INFO RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon.
16/05/19 18:09:01 INFO ShutdownHookManager: Deleting directory /tmp/spark-e1bbcc0c-b7f8-47d1-b01b-c88556d483c8
16/05/19 18:09:01 INFO RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceeding with flushing remote transports.
16/05/19 18:09:01 INFO ShutdownHookManager: Deleting directory /tmp/spark-e1bbcc0c-b7f8-47d1-b01b-c88556d483c8/pyspark-f61dfd8e-a758-4d1e-9af7-fa2ea4cb771b
答案 0 :(得分：2)
正在运行... data.first（）工作正常。
好吧，如果你仔细检查返回的AlignedSegment对象，你会发现它没有按预期工作。这里的问题是pysam只是C-API的一个瘦包装，AlignedSegment对象没有正确序列化/序列化。 Pickle支持seems to be on the TODO列表，但显然还没有。
根据您的要求，您可以直接在执行程序上读取数据并限制对本地呼叫的访问，但它将相当有限，并且不会超出单个阶段。要明确我的意思是类似的东西：
offset = ... # int
window = ... # int
reference = ... # str
path = ... # str, should be accessible on every worker
def fetch(path, reference, offset, window):
def fetch_(i):
start = offset + i * window
end = offset + (i + 1) * window
return pysam.AlignmentFile(path, "rb").fetch(reference, start, end)
return fetch_
f = fetch(path, reference, offset, window)
rdd = (sc
.parallelize([], 10)
.mapPartitionsWithIndex(lambda i, _: f(i)))
(rdd
.filter(lambda read: read.query_sequence and 'A' in read.query_sequence)
.count())