在Dockerfile中安装pyspark
我有一个Dockerfile如下在Dockerfile中安装pyspark,docker,apache-spark,pyspark,dockerfile,Docker,Apache Spark,Pyspark,Dockerfile,我有一个Dockerfile如下 FROM python:3.7 RUN apt-get update RUN apt-get install default-jdk -y COPY requirements.txt ./ RUN pip install -r requirements.txt 我在GitLab上的CI管道中使用了它，它工作得很好 然而，最近它已经停止工作。我没有更新我的requirements.txt文件，所以这可能是因为默认jdk已更改 我应该如何更新Dockerfil
FROM python:3.7
RUN apt-get update
RUN apt-get install default-jdk -y
COPY requirements.txt ./
RUN pip install -r requirements.txt
requirements.txt默认jdk/usr/local/lib/python3.7/site-packages/pyspark/rdd.py:824: in collect
port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
/usr/local/lib/python3.7/site-packages/py4j/java_gateway.py:1160: in __call__
answer, self.gateway_client, self.target_id, self.name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
answer = 'xro1291'
gateway_client = <py4j.java_gateway.GatewayClient object at 0x7f6490c2a350>
target_id = 'z:org.apache.spark.api.python.PythonRDD', name = 'collectAndServe'
def get_return_value(answer, gateway_client, target_id=None, name=None):
"""Converts an answer received from the Java gateway into a Python object.
For example, string representation of integers are converted to Python
integer, string representation of objects are converted to JavaObject
instances, etc.
:param answer: the string returned by the Java gateway
:param gateway_client: the gateway client used to communicate with the Java
Gateway. Only necessary if the answer is a reference (e.g., object,
list, map)
:param target_id: the name of the object from which the answer comes from
(e.g., *object1* in `object1.hello()`). Optional.
:param name: the name of the member from which the answer comes from
(e.g., *hello* in `object1.hello()`). Optional.
"""
if is_error(answer)[0]:
if len(answer) > 1:
type = answer[1]
value = OUTPUT_CONVERTER[type](answer[2:], gateway_client)
if answer[1] == REFERENCE_TYPE:
raise Py4JJavaError(
"An error occurred while calling {0}{1}{2}.\n".
> format(target_id, ".", name), value)
E py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
E : java.lang.IllegalArgumentException
E at org.apache.xbean.asm5.ClassReader.<init>(Unknown Source)
E at org.apache.xbean.asm5.ClassReader.<init>(Unknown Source)
E at org.apache.xbean.asm5.ClassReader.<init>(Unknown Source)
E at org.apache.spark.util.ClosureCleaner$.getClassReader(ClosureCleaner.scala:46)
E at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:449)
E at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:432)
E at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
E at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:103)
E at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:103)
E at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:230)
E at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:40)
E at scala.collection.mutable.HashMap$$anon$1.foreach(HashMap.scala:103)
E at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
E at org.apache.spark.util.FieldAccessFinder$$anon$3.visitMethodInsn(ClosureCleaner.scala:432)
E at org.apache.xbean.asm5.ClassReader.a(Unknown Source)
E at org.apache.xbean.asm5.ClassReader.b(Unknown Source)
E at org.apache.xbean.asm5.ClassReader.accept(Unknown Source)
E at org.apache.xbean.asm5.ClassReader.accept(Unknown Source)
E at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:262)
E at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:261)
E at scala.collection.immutable.List.foreach(List.scala:381)
E at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:261)
E at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:159)
E at org.apache.spark.SparkContext.clean(SparkContext.scala:2292)
E at org.apache.spark.SparkContext.runJob(SparkContext.scala:2066)
E at org.apache.spark.SparkContext.runJob(SparkContext.scala:2092)
E at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:939)
E at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
E at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
E at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
E at org.apache.spark.rdd.RDD.collect(RDD.scala:938)
E at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:153)
E at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
E at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
E at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
E at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
E at java.base/java.lang.reflect.Method.invoke(Method.java:566)
E at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
E at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
E at py4j.Gateway.invoke(Gateway.java:282)
E at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
E at py4j.commands.CallCommand.execute(CallCommand.java:79)
E at py4j.GatewayConnection.run(GatewayConnection.java:214)
E at java.base/java.lang.Thread.run(Thread.java:834)
/usr/local/lib/python3.7/site-packages/py4j/protocol.py:320: Py4JJavaError
/usr/local/lib/python3.7/site-packages/pyspark/rdd.py:824:in-collect
port=self.ctx.\u jvm.PythonRDD.collectAndServe（self.\u jrdd.rdd（））
/usr/local/lib/python3.7/site packages/py4j/java_gateway.py:1160:in_调用__
回答，self.gateway\u客户端，self.target\u id，self.name）
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
答案='xro1291'
网关\u客户端=
target_id='z:org.apache.spark.api.python.PythonRDD'，name='collectAndServe'
def get_return_值（应答、网关_客户端、目标_id=None、名称=None）：
“”“将从Java网关接收的应答转换为Python对象。
例如，整数的字符串表示被转换为Python
对象的整数、字符串表示形式转换为JavaObject
实例等。
：param answer：Java网关返回的字符串
：param gateway_client：用于与Java服务器通信的网关客户端
网关。仅当答案是参考（例如，对象、，
列表、地图）
：param target_id：答案来自的对象的名称
（例如，`object1.hello（）`中的*object1*）。可选。
：param name：答案来源的成员的名称
（例如，`object1.hello（）`中的*hello*）。可选。
"""
如果是错误（回答）[0]：
如果len（答案）>1：
类型=答案[1]
值=输出\转换器[类型]（回答[2:]，网关\客户端）
如果答案[1]==参考类型：
引发Py4JJavaError(
“调用{0}{1}{2}时出错。\n”。
>格式（目标id，“.”，名称），值）
E py4j.protocol.Py4JJavaError:调用z:org.apache.spark.api.python.PythonRDD.collectAndServe时出错。
E:java.lang.IllegalArgumentException
E位于org.apache.xbean.asm5.ClassReader。（未知来源）
E位于org.apache.xbean.asm5.ClassReader。（未知来源）
E位于org.apache.xbean.asm5.ClassReader。（未知来源）
E位于org.apache.spark.util.ClosureCleaner$.getClassReader（ClosureCleaner.scala:46）
E位于org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply（ClosureCleaner.scala:449）
E位于org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply（ClosureCleaner.scala:432）
E位于scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply（TraversableLike.scala:733）
E位于scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply（HashMap.scala:103）
E位于scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply（HashMap.scala:103）
E位于scala.collection.mutable.HashTable$class.foreachEntry（HashTable.scala:230）
E位于scala.collection.mutable.HashMap.foreachEntry（HashMap.scala:40）
E位于scala.collection.mutable.HashMap$$anon$1.foreach（HashMap.scala:103）
E在scala.collection.TraversableLike$WithFilter.foreach处（TraversableLike.scala:732）
E位于org.apache.spark.util.FieldAccessFinder$$anon$3.visitMethodInsn（ClosureCleaner.scala:432）
E位于org.apache.xbean.asm5.ClassReader.a（未知源）
E位于org.apache.xbean.asm5.ClassReader.b（未知源）
E位于org.apache.xbean.asm5.ClassReader.accept（未知源）
E位于org.apache.xbean.asm5.ClassReader.accept（未知源）
E位于org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply（ClosureCleaner.scala:262）
E位于org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply（ClosureCleaner.scala:261）
E位于scala.collection.immutable.List.foreach（List.scala:381）
E位于org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean（ClosureCleaner.scala:261）
E位于org.apache.spark.util.ClosureCleaner$.clean（ClosureCleaner.scala:159）
E位于org.apache.spark.SparkContext.clean（SparkContext.scala:2292）
E位于org.apache.spark.SparkContext.runJob（SparkContext.scala:2066）
E位于org.apache.spark.SparkContext.runJob（SparkContext.scala:2092）
E位于org.apache.spark.rdd.rdd$$anonfun$collect$1.apply（rdd.scala:939）
E位于org.apache.spark.rdd.RDDOperationScope$.withScope（RDDOperationScope.scala:151）
E位于org.apache.spark.rdd.RDDOperationScope$.withScope（RDDOperationScope.scala:112）
E位于org.apache.spark.rdd.rdd.withScope（rdd.scala:363）
E位于org.apache.spark.rdd.rdd.collect（rdd.scala:938）
E位于org.apache.spark.api.python.PythonRDD$.collectAndServe（PythonRDD.scala:153）
E位于org.apache.spark.api.python.PythonRDD.collectAndServe（PythonRDD.scala）
E位于java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0（本机方法）
E位于java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke（NativeMethodAccessorImpl.java:62）
E位于java.base/jdk.internal.reflec