Ao executar o comando:
produtos.join(impostos,'cat','inner').show()
o seguinte erro é mostrado:
PS: esse erro só acontece no Colab, rodando o código num notebook local funciona.
Py4JJavaError Traceback (most recent call last) in ----> 1 produtos.join(impostos,'cat','inner').show()
3 frames /content/spark-3.1.2-bin-hadoop2.7/python/pyspark/sql/dataframe.py in show(self, n, truncate, vertical) 482 """ 483 if isinstance(truncate, bool) and truncate: --> 484 print(self.jdf.showString(n, 20, vertical)) 485 else: 486 print(self.jdf.showString(n, int(truncate), vertical))
/content/spark-3.1.2-bin-hadoop2.7/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py in call(self, *args) 1303 answer = self.gateway_client.send_command(command) 1304 return_value = get_return_value( -> 1305 answer, self.gateway_client, self.target_id, self.name) 1306 1307 for temp_arg in temp_args:
/content/spark-3.1.2-bin-hadoop2.7/python/pyspark/sql/utils.py in deco(a, **kw) 109 def deco(a, *kw): 110 try: --> 111 return f(a, **kw) 112 except py4j.protocol.Py4JJavaError as e: 113 converted = convert_exception(e.java_exception)
/content/spark-3.1.2-bin-hadoop2.7/python/lib/py4j-0.10.9-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 o1403.showString. : java.lang.IllegalStateException: SparkContext has been shutdown at org.apache.spark.SparkContext.runJob(SparkContext.scala:2188) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2217) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2236) at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:472) at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:425) at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:47) at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3696) at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2722) at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3687) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3685) at org.apache.spark.sql.Dataset.head(Dataset.scala:2722) at org.apache.spark.sql.Dataset.take(Dataset.scala:2929) at org.apache.spark.sql.Dataset.getRows(Dataset.scala:301) at org.apache.spark.sql.Dataset.showString(Dataset.scala:338) at sun.reflect.GeneratedMethodAccessor82.invoke(Unknown Source) 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:357) at py4j.Gateway.invoke(Gateway.java:282) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:238) at java.lang.Thread.run(Thread.java:750)