at java.lang.ProcessBuilder.start(ProcessBuilder.java:1048)
at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:209)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:132)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:105)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:119)
at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:145)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.io.IOException: error=2, 没有那个文件或目录
at java.lang.UNIXProcess.forkAndExec(Native Method)
at java.lang.UNIXProcess.<init>(UNIXProcess.java:247)
at java.lang.ProcessImpl.start(ProcessImpl.java:134)
at java.lang.ProcessBuilder.start(ProcessBuilder.java:1029)
... 16 more

24/10/30 09:44:04 ERROR TaskSetManager: Task 2 in stage 0.0 failed 4 times; aborting job
Traceback (most recent call last):
File "/opt/installs/spark/examples/src/main/python/pi.py", line 42, in <module>
count = spark.sparkContext.parallelize(range(1, n + 1), partitions).map(f).reduce(add)
File "/opt/installs/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 997, in reduce
File "/opt/installs/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 949, in collect
File "/opt/installs/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1304, in call
File "/opt/installs/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 111, in deco
File "/opt/installs/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py", line 326, 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 2 in stage 0.0 failed 4 times, most recent failure: Lost task 2.3 in stage 0.0 (TID 8) (bigdata02 executor 1): java.io.IOException: Cannot run program "python3": error=2, 没有那个文件或目录
at java.lang.ProcessBuilder.start(ProcessBuilder.java:1048)
at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:209)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:132)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:105)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:119)
at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:145)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run

如上图所示是完整的报错信息。这个问题是在spark-yarn模式中安装完pyspark环境后运行一些python的可执行文件出现的。错误信息提示我们其他集群没有找到python3环境，这时我们首先要检查其他集群上面是否有python3环境，或者anaconda，anaconda是可以替代python3的它里面包含了python3。然后检查自己的spark文件是否存在一个硬链接，如果没用可以创建硬链接名为spark指向spark。加入这句话后就不报这个错误了。

ln -s /opt/installs/spark-yarn /opt/installs/spark