我需要通过文本检测语言，然后使用PySpark翻译该文本。我在PySpark中找不到为此的任何功能，所以我创建了自己的UDF。
语言检测
def detectlang(string):
b = TextBlob(string)
return b.detect_language()
detectlang_udf = udf(detectlang)
翻译
def translate(string):
trans = Translator()
return trans.translate(string).text
translate_udf = udf(translate, StringType())
但是，当我调用这些函数然后查询结果时，出现以下错误：
result = dict_comments[13].withColumn("lang", detectlang_udf(col('Text')))
result.show()
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 15.0 failed 1 times, most recent failure: Lost task 0.0 in stage 15.0 (TID 15, localhost, executor driver): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
编辑（完全错误）
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
<command-256375544159477> in <module>
1 result = dict_comments[13].withColumn("lang", detectlang_udf(col('Text')))
----> 2 result.show()
/databricks/spark/python/pyspark/sql/dataframe.py in show(self, n, truncate, vertical)
379 """
380 if isinstance(truncate, bool) and truncate:
--> 381 print(self._jdf.showString(n, 20, vertical))
382 else:
383 print(self._jdf.showString(n, int(truncate), vertical))
/databricks/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py in __call__(self, *args)
1255 answer = self.gateway_client.send_command(command)
1256 return_value = get_return_value(
-> 1257 answer, self.gateway_client, self.target_id, self.name)
1258
1259 for temp_arg in temp_args:
/databricks/spark/python/pyspark/sql/utils.py in deco(*a, **kw)
61 def deco(*a, **kw):
62 try:
---> 63 return f(*a, **kw)
64 except py4j.protocol.Py4JJavaError as e:
65 s = e.java_exception.toString()
/databricks/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
326 raise Py4JJavaError(
327 "An error occurred while calling {0}{1}{2}.\n".
--> 328 format(target_id, ".", name), value)
329 else:
330 raise Py4JError(
Py4JJavaError: An error occurred while calling o872.showString.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 15.0 failed 1 times, most recent failure: Lost task 0.0 in stage 15.0 (TID 15, localhost, executor driver): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/databricks/spark/python/pyspark/worker.py", line 480, in main
process()
File "/databricks/spark/python/pyspark/worker.py", line 472, in process
serializer.dump_stream(out_iter, outfile)
File "/databricks/spark/python/pyspark/serializers.py", line 456, in dump_stream
self.serializer.dump_stream(self._batched(iterator), stream)
File "/databricks/spark/python/pyspark/serializers.py", line 149, in dump_stream
for obj in iterator:
File "/databricks/spark/python/pyspark/serializers.py", line 445, in _batched
for item in iterator:
File "<string>", line 1, in <lambda>
File "/databricks/spark/python/pyspark/worker.py", line 87, in <lambda>
return lambda *a: f(*a)
File "/databricks/spark/python/pyspark/util.py", line 99, in wrapper
return f(*args, **kwargs)
File "<command-256375544159470>", line 3, in detectlang
File "/databricks/python/lib/python3.7/site-packages/textblob/blob.py", line 568, in detect_language
return self.translator.detect(self.raw)
File "/databricks/python/lib/python3.7/site-packages/textblob/translate.py", line 69, in detect
raise TranslatorError('Must provide a string with at least 3 characters.')
textblob.exceptions.TranslatorError: Must provide a string with at least 3 characters.
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:534)
at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:81)
at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:64)
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:488)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:640)
at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$.encodeUnsafeRows(UnsafeRowBatchUtils.scala:62)
at org.apache.spark.sql.execution.collect.Collector$$anonfun$2.apply(Collector.scala:159)
at org.apache.spark.sql.execution.collect.Collector$$anonfun$2.apply(Collector.scala:158)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.doRunTask(Task.scala:140)
at org.apache.spark.scheduler.Task.run(Task.scala:113)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:528)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1526)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:534)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:2360)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2348)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2347)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2347)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1101)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1101)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1101)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2579)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2527)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2515)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:896)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2280)
at org.apache.spark.sql.execution.collect.Collector.runSparkJobs(Collector.scala:270)
at org.apache.spark.sql.execution.collect.Collector.collect(Collector.scala:280)
at org.apache.spark.sql.execution.collect.Collector$.collect(Collector.scala:80)
at org.apache.spark.sql.execution.collect.Collector$.collect(Collector.scala:86)
at org.apache.spark.sql.execution.ResultCacheManager.getOrComputeResult(ResultCacheManager.scala:508)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollectResult(limit.scala:55)
at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectResult(Dataset.scala:2889)
at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3501)
at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2618)
at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2618)
at org.apache.spark.sql.Dataset$$anonfun$54.apply(Dataset.scala:3485)
at org.apache.spark.sql.Dataset$$anonfun$54.apply(Dataset.scala:3480)
at org.apache.spark.sql.execution.SQLExecution$$anonfun$withCustomExecutionEnv$1.apply(SQLExecution.scala:111)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:240)
at org.apache.spark.sql.execution.SQLExecution$.withCustomExecutionEnv(SQLExecution.scala:97)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:170)
at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$withAction(Dataset.scala:3480)
at org.apache.spark.sql.Dataset.head(Dataset.scala:2618)
at org.apache.spark.sql.Dataset.take(Dataset.scala:2832)
at org.apache.spark.sql.Dataset.getRows(Dataset.scala:265)
at org.apache.spark.sql.Dataset.showString(Dataset.scala:302)
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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:380)
at py4j.Gateway.invoke(Gateway.java:295)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:251)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/databricks/spark/python/pyspark/worker.py", line 480, in main
process()
File "/databricks/spark/python/pyspark/worker.py", line 472, in process
serializer.dump_stream(out_iter, outfile)
File "/databricks/spark/python/pyspark/serializers.py", line 456, in dump_stream
self.serializer.dump_stream(self._batched(iterator), stream)
File "/databricks/spark/python/pyspark/serializers.py", line 149, in dump_stream
for obj in iterator:
File "/databricks/spark/python/pyspark/serializers.py", line 445, in _batched
for item in iterator:
File "<string>", line 1, in <lambda>
File "/databricks/spark/python/pyspark/worker.py", line 87, in <lambda>
return lambda *a: f(*a)
File "/databricks/spark/python/pyspark/util.py", line 99, in wrapper
return f(*args, **kwargs)
File "<command-256375544159470>", line 3, in detectlang
File "/databricks/python/lib/python3.7/site-packages/textblob/blob.py", line 568, in detect_language
return self.translator.detect(self.raw)
File "/databricks/python/lib/python3.7/site-packages/textblob/translate.py", line 69, in detect
raise TranslatorError('Must provide a string with at least 3 characters.')
textblob.exceptions.TranslatorError: Must provide a string with at least 3 characters.
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:534)
at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:81)
at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:64)
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:488)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:640)
at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$.encodeUnsafeRows(UnsafeRowBatchUtils.scala:62)
at org.apache.spark.sql.execution.collect.Collector$$anonfun$2.apply(Collector.scala:159)
at org.apache.spark.sql.execution.collect.Collector$$anonfun$2.apply(Collector.scala:158)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.doRunTask(Task.scala:140)
at org.apache.spark.scheduler.Task.run(Task.scala:113)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:528)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1526)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:534)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
有人知道如何解决这个问题，或者是否有任何实现我目标的PySpark功能？
答案 0 :(得分：1)
根据最新编辑，这是您的任务失败的原因。
File "/databricks/python/lib/python3.7/site-packages/textblob/translate.py", line 69, in detect
raise TranslatorError('Must provide a string with at least 3 characters.')
textblob.exceptions.TranslatorError: Must provide a string with at least 3 characters.
Spark有时在提供错误方面可能非常无助，因此在这里您需要一直搜索python异常，因为驱动程序只会说类似Task Lost或Task Failed之类的内容。 。
然后，对函数进行快速修复的方法是检查输入字符串的len()或在函数调用的f.when().otherwise()中添加pyspark-您可能会更希望这样做不需要时将不会执行您的udf。
希望这会有所帮助！