spark sql can not read hive tables about bigdata-docker-compose HOT 1 OPEN

# loading the data via hive works
hive> LOAD DATA INPATH '/grades.csv' INTO TABLE grades;
Loading data to table default.grades
OK
Time taken: 2.109 seconds

# the table shows up in spark
>>> spark.sql("SHOW TABLES").show()
Hive Session ID = 194a034c-984e-4b9e-b681-31cb336eca80
+--------+---------+-----------+
|database|tableName|isTemporary|
+--------+---------+-----------+
| default|   grades|      false|
+--------+---------+-----------+

# this returns a dataframe
>>> spark.sql("SELECT * FROM grades")
DataFrame[last name: string, first name: string, ssn: string, test1: double, test2: int, test3: double, test4: double, final: double, grade: string]

# when the query actually gets executed (due to lazy spark execution) it throws a java error
>>> spark.sql("SELECT * FROM grades").show()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/spark/python/pyspark/sql/dataframe.py", line 440, in show
    print(self._jdf.showString(n, 20, vertical))
  File "/usr/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1305, in __call__
  File "/usr/spark/python/pyspark/sql/utils.py", line 128, in deco
    return f(*a, **kw)
  File "/usr/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o51.showString.
: java.lang.NoSuchMethodError: org.apache.hadoop.hive.ql.exec.Utilities.copyTableJobPropertiesToConf(Lorg/apache/hadoop/hive/ql/plan/TableDesc;Lorg/apache/hadoop/conf/Configuration;)V
	at org.apache.spark.sql.hive.HadoopTableReader$.initializeLocalJobConfFunc(TableReader.scala:399)
	at org.apache.spark.sql.hive.HadoopTableReader.$anonfun$createOldHadoopRDD$1(TableReader.scala:314)
	at org.apache.spark.sql.hive.HadoopTableReader.$anonfun$createOldHadoopRDD$1$adapted(TableReader.scala:314)
	at org.apache.spark.rdd.HadoopRDD.$anonfun$getJobConf$8(HadoopRDD.scala:181)
	at org.apache.spark.rdd.HadoopRDD.$anonfun$getJobConf$8$adapted(HadoopRDD.scala:181)
	at scala.Option.foreach(Option.scala:407)
	at org.apache.spark.rdd.HadoopRDD.$anonfun$getJobConf$6(HadoopRDD.scala:181)
	at scala.Option.getOrElse(Option.scala:189)
	at org.apache.spark.rdd.HadoopRDD.getJobConf(HadoopRDD.scala:178)
	at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:201)
	at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
	at scala.Option.getOrElse(Option.scala:189)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
	at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
	at scala.Option.getOrElse(Option.scala:189)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
	at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
	at scala.Option.getOrElse(Option.scala:189)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
	at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
	at scala.Option.getOrElse(Option.scala:189)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
	at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
	at scala.Option.getOrElse(Option.scala:189)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
	at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:276)
	at scala.Option.getOrElse(Option.scala:189)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:272)
	at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:437)
	at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:420)
	at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:47)
	at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3627)
	at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2697)
	at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3618)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:100)
	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
	at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3616)
	at org.apache.spark.sql.Dataset.head(Dataset.scala:2697)
	at org.apache.spark.sql.Dataset.take(Dataset.scala:2904)
	at org.apache.spark.sql.Dataset.getRows(Dataset.scala:300)
	at org.apache.spark.sql.Dataset.showString(Dataset.scala:337)
	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: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:748)