title: Installing pyspark in Dockerfile
body: <p>I had a Dockerfile as follows</p>
  
  <pre><code>FROM python:3.7
  
  RUN apt-get update
  RUN apt-get install default-jdk -y
  
  COPY requirements.txt ./
  RUN pip install -r requirements.txt
  </code></pre>
  
  <p>which I was using in a CI pipeline on GitLab, and it was working fine.</p>
  
  <p>Recently, however, it has stopped working. I haven't updated my <code>requirements.txt</code> file, so might this be because <code>default-jdk</code> has changed?</p>
  
  <p>How should I update my Dockerfile so it now correctly installs pyspark?</p>
  
  <h2>EDIT</h2>
  
  <p>example of error:</p>
  
  <pre><code>/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 = &lt;py4j.java_gateway.GatewayClient object at 0x7f6490c2a350&gt;
  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) &gt; 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".
  &gt;                       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.&lt;init&gt;(Unknown Source)
  E                       at org.apache.xbean.asm5.ClassReader.&lt;init&gt;(Unknown Source)
  E                       at org.apache.xbean.asm5.ClassReader.&lt;init&gt;(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
  </code></pre>