Когда я пытаюсь прочитать данные в файле, используя spark 2.2.1, я получаю следующее исключение
java.lang.NoClassDefFoundError: org/apache/spark/sql/sources/v2/MicroBatchReadSupport
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(Unknown Source)
at java.security.SecureClassLoader.defineClass(Unknown Source)
at java.net.URLClassLoader.defineClass(Unknown Source)
at java.net.URLClassLoader.access$100(Unknown Source)
at java.net.URLClassLoader$1.run(Unknown Source)
at java.net.URLClassLoader$1.run(Unknown Source)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
at sun.misc.Launcher$AppClassLoader.loadClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(Unknown Source)
at java.security.SecureClassLoader.defineClass(Unknown Source)
at java.net.URLClassLoader.defineClass(Unknown Source)
at java.net.URLClassLoader.access$100(Unknown Source)
at java.net.URLClassLoader$1.run(Unknown Source)
at java.net.URLClassLoader$1.run(Unknown Source)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
at sun.misc.Launcher$AppClassLoader.loadClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Unknown Source)
at java.util.ServiceLoader$LazyIterator.nextService(Unknown Source)
at java.util.ServiceLoader$LazyIterator.next(Unknown Source)
at java.util.ServiceLoader$1.next(Unknown Source)
at scala.collection.convert.Wrappers$JIteratorWrapper.next(Wrappers.scala:43)
at scala.collection.Iterator$class.foreach(Iterator.scala:891)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at scala.collection.TraversableLike$class.filterImpl(TraversableLike.scala:247)
at scala.collection.TraversableLike$class.filter(TraversableLike.scala:259)
at scala.collection.AbstractTraversable.filter(Traversable.scala:104)
at org.apache.spark.sql.execution.datasources.DataSource.lookupDataSource(DataSource.scala:126)
at org.apache.spark.sql.execution.datasources.DataSource.providingClass$lzycompute(DataSource.scala:78)
at org.apache.spark.sql.execution.datasources.DataSource.providingClass(DataSource.scala:78)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:310)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:149)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:122)
at com.bgt.spark.export.pgsql_read$$anonfun$dataExport$1.apply(pgsql_read.scala:152)
at com.bgt.spark.export.pgsql_read$$anonfun$dataExport$1.apply(pgsql_read.scala:141)
at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:130)
at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:130)
at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:236)
at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:40)
at scala.collection.mutable.HashMap.foreach(HashMap.scala:130)
at com.bgt.spark.export.pgsql_read.dataExport(pgsql_read.scala:141)
at com.bgt.spark.export.pgsql_read.exportAndUpload(pgsql_read.scala:93)
at com.bgt.spark.export.Export_DatabaseOriented$.main(Export_DatabaseOriented.scala:75)
at com.bgt.spark.export.Export_DatabaseOriented.main(Export_DatabaseOriented.scala)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.sql.sources.v2.MicroBatchReadSupport
at java.net.URLClassLoader.findClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
at sun.misc.Launcher$AppClassLoader.loadClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
Я использую scala для создания сеанса spark, и во время чтения файла с использованием сеанса spark я сталкиваюсь с вышеуказанной ошибкой
Помогите мне решить эту проблему.