Caused by: java.lang.NoSuchMethodError: org.apache.spark.sql.catalyst.analysis.TypeCoercion$.findTig

#     
spark = SparkSession \
    .builder \
    .appName("pyspark-mongodb data source example") \
    .config("spark.mongodb.input.uri",
            "mongodb://192.168.5.247:27017/test.company_info") \
    .config("spark.mongodb.output.uri",
            "mongodb://192.168.5.247:27017/test.company_info") \
    .master('local[*]') \
    .getOrCreate()

# df = spark.read.format("com.mongodb.spark.sql").option("spark.mongodb.input.uri",
                                                            
#                              "mongodb://192.168.5.247:27017/test.company_info").load()

df = spark.read.format("com.mongodb.spark.sql").load()

Caused by: java.lang.NoSuchMethodError: org.apache.spark.sql.catalyst.analysis.TypeCoercion$.findTightestCommonTypeOfTwo()Lscala/Function2;
        at com.mongodb.spark.sql.MongoInferSchema$.com$mongodb$spark$sql$MongoInferSchema$$compatibleType(MongoInferSchema.scala:135)
        at com.mongodb.spark.sql.MongoInferSchema$$anonfun$3.apply(MongoInferSchema.scala:78)
        at com.mongodb.spark.sql.MongoInferSchema$$anonfun$3.apply(MongoInferSchema.scala:78)
        at scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
        at scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
        at scala.collection.Iterator$class.foreach(Iterator.scala:893)
        at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
        at scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157)
        at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1336)
        at scala.collection.TraversableOnce$class.aggregate(TraversableOnce.scala:214)
        at scala.collection.AbstractIterator.aggregate(Iterator.scala:1336)
        at org.apache.spark.rdd.RDD$$anonfun$treeAggregate$1$$anonfun$23.apply(RDD.scala:1139)
        at org.apache.spark.rdd.RDD$$anonfun$treeAggregate$1$$anonfun$23.apply(RDD.scala:1139)
        at org.apache.spark.rdd.RDD$$anonfun$treeAggregate$1$$anonfun$24.apply(RDD.scala:1140)
        at org.apache.spark.rdd.RDD$$anonfun$treeAggregate$1$$anonfun$24.apply(RDD.scala:1140)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:800)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:800)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
        at org.apache.spark.scheduler.Task.run(Task.scala:109)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        ... 1 more