I sorted this one out. It was caused by mismatch between Spark 3.1.1 using scala 2.1.2 and the old scala 2.1.1 packages
view my Linkedin profile <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/> *Disclaimer:* Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction. On Mon, 22 Mar 2021 at 09:13, Mich Talebzadeh <[email protected]> wrote: > > Hi, > > The error is in Spark 3.1.1 with Scala > > The JDBC connection used to work fine in spark-2.4.3 > > val s = HiveContext.read.format("jdbc").options( > Map("url" -> url, > "dbtable" -> _dbtable, > "user" -> _username, > "password" -> _password)).load > > However, in 3.1.1 it is failing with a strange error > > scala> val s = HiveContext.read.format("jdbc").options( > | Map("url" -> url, > | "dbtable" -> _dbtable, > | "user" -> _username, > | "password" -> _password)).load > java.util.ServiceConfigurationError: > org.apache.spark.sql.sources.DataSourceRegister: > Provider org.apache.spark.sql.delta.sources.DeltaDataSource could not be > instantiated > at java.util.ServiceLoader.fail(ServiceLoader.java:232) > at java.util.ServiceLoader.access$100(ServiceLoader.java:185) > at > java.util.ServiceLoader$LazyIterator.nextService(ServiceLoader.java:384) > 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:44) > at scala.collection.Iterator.foreach(Iterator.scala:941) > at scala.collection.Iterator.foreach$(Iterator.scala:941) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1429) > at scala.collection.IterableLike.foreach(IterableLike.scala:74) > at scala.collection.IterableLike.foreach$(IterableLike.scala:73) > at scala.collection.AbstractIterable.foreach(Iterable.scala:56) > at scala.collection.TraversableLike.filterImpl(TraversableLike.scala:255) > at > scala.collection.TraversableLike.filterImpl$(TraversableLike.scala:249) > at scala.collection.AbstractTraversable.filterImpl(Traversable.scala:108) > at scala.collection.TraversableLike.filter(TraversableLike.scala:347) > at scala.collection.TraversableLike.filter$(TraversableLike.scala:347) > at scala.collection.AbstractTraversable.filter(Traversable.scala:108) > at > org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:659) > at > org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSourceV2(DataSource.scala:743) > at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:266) > at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:226) > ... 53 elided > Caused by: java.lang.NoClassDefFoundError: > org/apache/spark/internal/Logging$class > > Thanks > > > view my Linkedin profile > <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/> > > > > *Disclaimer:* Use it at your own risk. Any and all responsibility for any > loss, damage or destruction of data or any other property which may arise > from relying on this email's technical content is explicitly disclaimed. > The author will in no case be liable for any monetary damages arising from > such loss, damage or destruction. > > >
