我正在尝试将数据帧保存到 Spark 2.0、Scala 2.11 中的 cvs（从 Spark 1.6 迁移代码的过程）。
sparkSession.sql("SELECT * FROM myTable").
coalesce(1).
write.
format("com.databricks.spark.csv").
option("header","true").
save(config.resultLayer)
火花会话是否正确构建？
implicit val sparkSession = SparkSession.builder
.master("local")
.appName("com.yo.go")
.enableHiveSupport()
.getOrCreate()
仅在运行时收到错误（代码编译）。
Exception in thread "main" java.util.ServiceConfigurationError: org.apache.spark.sql.sources.DataSourceRegister: Provider org.apache.spark.sql.hive.orc.DefaultSource could not be instantiated
at java.util.ServiceLoader.fail(ServiceLoader.java:224)
at java.util.ServiceLoader.access$100(ServiceLoader.java:181)
at java.util.ServiceLoader$LazyIterator.next(ServiceLoader.java:377)
at java.util.ServiceLoader$1.next(ServiceLoader.java:445)
at scala.collection.convert.Wrappers$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:126)
at org.apache.spark.sql.execution.datasources.DataSource.providingClass$lzycompute(DataSource.scala:78)
at org.apache.spark.sql.execution.datasources.DataSource.providingClass(DataSource.scala:78)
at org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:427)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:211)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:194)
at com.apple.geo.contigu.common.JoinFeatures$.savePairSummaries(JoinFeatures.scala:343)
at com.apple.geo.contigu.Main$.main(Main.scala:32)
at com.apple.geo.contigu.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:729)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.VerifyError: Bad return type
Exception Details:
Location:
org/apache/spark/sql/hive/orc/DefaultSource.createRelation(Lorg/apache/spark/sql/SQLContext;[Ljava/lang/String;Lscala/Option;Lscala/Option;Lscala/collection/immutable/Map;)Lorg/apache/spark/sql/sources/HadoopFsRelation; @35: areturn
Reason:
Type 'org/apache/spark/sql/hive/orc/OrcRelation' (current frame, stack[0]) is not assignable to 'org/apache/spark/sql/sources/HadoopFsRelation' (from method signature)
Current Frame:
bci: @35
flags: { }
locals: { 'org/apache/spark/sql/hive/orc/DefaultSource', 'org/apache/spark/sql/SQLContext', '[Ljava/lang/String;', 'scala/Option', 'scala/Option', 'scala/collection/immutable/Map' }
stack: { 'org/apache/spark/sql/hive/orc/OrcRelation' }
Bytecode:
0000000: b200 1c2b c100 1ebb 000e 592a b700 22b6
0000010: 0026 bb00 2859 2c2d b200 2d19 0419 052b
0000020: b700 30b0
at java.lang.Class.getDeclaredConstructors0(Native Method)
at java.lang.Class.privateGetDeclaredConstructors(Class.java:2595)
at java.lang.Class.getConstructor0(Class.java:2895)
at java.lang.Class.newInstance(Class.java:354)
at java.util.ServiceLoader$LazyIterator.next(ServiceLoader.java:373)
... 27 more
有什么明显的我忽略的吗？需要更多细节？任何建议表示赞赏。谢谢！