尝试使用spark-submit运行我的Spark jar时，出现错误。 导致它的行
spark.read.format("com.databricks.spark.avro").load("/home/user/samples/events")
stacktrace是：
Exception in thread "main" java.util.ServiceConfigurationError: org.apache.spark.sql.sources.DataSourceRegister: Provider org.apache.spark.sql.execution.datasources.orc.OrcFileFormat not found
at java.util.ServiceLoader.fail(ServiceLoader.java:239)
at java.util.ServiceLoader.access$300(ServiceLoader.java:185)
at java.util.ServiceLoader$LazyIterator.nextService(ServiceLoader.java:372)
at java.util.ServiceLoader$LazyIterator.next(ServiceLoader.java:404)
at java.util.ServiceLoader$1.next(ServiceLoader.java:480)
at scala.collection.convert.Wrappers$JIteratorWrapper.next(Wrappers.scala:43)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
at scala.collection.IterableLike$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$.lookupDataSource(DataSource.scala:529)
at org.apache.spark.sql.execution.datasources.DataSource.providingClass$lzycompute(DataSource.scala:86)
at org.apache.spark.sql.execution.datasources.DataSource.providingClass(DataSource.scala:86)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:301)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:156)
无法理解缺少的内容以及为什么调用ORC格式？ 我确保该类存在于spark / jar文件夹中 “ org / apache / spark / sql / execution / datasources / orc / OrcFileFormat”
火花版本：2.3.2
谢谢：-）