好的，我正在尝试预处理数据框。这里有趣的是，如果我在我的jupyter笔记本中尝试这个，我可以执行此操作，并且我可以将CSV文件写入HDFS。
但是，如果我尝试在spark-submit的管道中运行此操作，我会收到RemoteException（见下文）。
这是正在执行的命令。插入换行符是为了便于阅读。
$ spark-submit --master yarn
--name PreprocessRawData
--py-files /home/username/workspaces/m-search/python/m.zip
--driver-memory 60G
--executor-memory 20G
--driver-cores 14
--executor-cores 14
--num-executors 10
/home/username/.local/lib/python3.5/site-packages/luigi/contrib/pyspark_runner.py
/tmp/PreprocessRawData4b7ollx5/PreprocessRawData.pickle
正在提交任务并且工作人员正在启动，但过了一段时间他们失败了。他们都写了相同的错误（RemoteException）。我不确定为什么会这样，我能做些什么。
让我们谈一些代码。
这是luigi的任务：
class PreprocessRawData(PySparkTask):
""" Input parquet file """
input_file = luigi.Parameter()
output_dir = luigi.Parameter()
def requires(self):
return TransformToParquet()
def output(self):
return [
HdfsTarget(os.path.join(self.output_dir, 'volltext.csv'))
]
def main(self, sc, *args):
try:
sql = SQLContext(sc)
spark = sql.sparkSession
df_data = spark.read.csv(self.input_file, schema=DATASET_SCHEMA_DEFAULT, maxCharsPerColumn=200000000)
df_cleaned = preprocess_text(df_data, id_column='dokumentId', text_column='volltext')
outfile = os.path.join(self.output_dir, 'volltext.csv')
df_cleaned.write.csv(outfile)
except Exception as e:
print(e)
if os.path.isdir(outfile):
print('Deleting ' + str(outfile))
shutil.rmtree(outfile)
raise e
这是完成工作的地方：
def preprocess_text(df_data, id_column, text_column):
# Get only documents with non-null (raw) volltext
df_volltext_raw = df_data.where(getattr(df_data, text_column).isNotNull())
df_volltext = df_volltext_raw.select(
[id_column] + [udf_remove_special_tokens()(F.col(text_column)).alias(text_column)])
pos_whitelist = ['NOUN', 'ADJ', 'VERB']
df_filtered = df_volltext.select([id_column] + [udf_token_filter(pos_whitelist=pos_whitelist,
lemmatize=True)(F.col(text_column)).alias(text_column)])
df_cleaned = df_filtered.select(
[id_column] + [udf_clean_documents(lowercase=True, min_length=3)(F.col(text_column)).alias(text_column)])
return df_cleaned
我绝对可以发布udf_函数的代码，但由于它们在我的jupyter笔记本中没有问题，我很确定它在我的代码中不是问题。我更倾向于配置或其他问题，但首先我需要了解问题所在。
18/05/16 15:55:53 WARN Client: Exception encountered while connecting to the server :
org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.ipc.StandbyException): Operation category READ is not supported in state standby
at org.apache.hadoop.security.SaslRpcClient.saslConnect(SaslRpcClient.java:375)
at org.apache.hadoop.ipc.Client$Connection.setupSaslConnection(Client.java:595)
at org.apache.hadoop.ipc.Client$Connection.access$2000(Client.java:397)
at org.apache.hadoop.ipc.Client$Connection$2.run(Client.java:762)
at org.apache.hadoop.ipc.Client$Connection$2.run(Client.java:758)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1724)
at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:757)
at org.apache.hadoop.ipc.Client$Connection.access$3200(Client.java:397)
at org.apache.hadoop.ipc.Client.getConnection(Client.java:1618)
at org.apache.hadoop.ipc.Client.call(Client.java:1449)
at org.apache.hadoop.ipc.Client.call(Client.java:1396)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:233)
at com.sun.proxy.$Proxy18.getBlockLocations(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getBlockLocations(ClientNamenodeProtocolTranslatorPB.java:270)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:278)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:194)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:176)
at com.sun.proxy.$Proxy19.getBlockLocations(Unknown Source)
at org.apache.hadoop.hdfs.DFSClient.callGetBlockLocations(DFSClient.java:1236)
at org.apache.hadoop.hdfs.DFSClient.getLocatedBlocks(DFSClient.java:1223)
at org.apache.hadoop.hdfs.DFSClient.getLocatedBlocks(DFSClient.java:1211)
at org.apache.hadoop.hdfs.DFSInputStream.fetchLocatedBlocksAndGetLastBlockLength(DFSInputStream.java:309)
at org.apache.hadoop.hdfs.DFSInputStream.openInfo(DFSInputStream.java:274)
at org.apache.hadoop.hdfs.DFSInputStream.<init>(DFSInputStream.java:266)
at org.apache.hadoop.hdfs.DFSClient.open(DFSClient.java:1536)
at org.apache.hadoop.hdfs.DistributedFileSystem$4.doCall(DistributedFileSystem.java:330)
at org.apache.hadoop.hdfs.DistributedFileSystem$4.doCall(DistributedFileSystem.java:326)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.open(DistributedFileSystem.java:326)
at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:782)
at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.initialize(LineRecordReader.java:85)
at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.<init>(HadoopFileLinesReader.scala:44)
at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anonfun$buildReader$1.apply(CSVFileFormat.scala:114)
at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anonfun$buildReader$1.apply(CSVFileFormat.scala:111)
at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:279)
at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:263)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:116)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:91)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$GroupedIterator.fill(Iterator.scala:1126)
at scala.collection.Iterator$GroupedIterator.hasNext(Iterator.scala:1132)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
at org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:504)
at org.apache.spark.api.python.PythonRunner$WriterThread$$anonfun$run$3.apply(PythonRDD.scala:328)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1857)
at org.apache.spark.api.python.PythonRunner$WriterThread.run(PythonRDD.scala:269)