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abstract class GpuDataSourceBase extends Logging

A truncated version of Spark DataSource that converts to use the GPU version of InsertIntoHadoopFsRelationCommand for FileFormats we support. This does not support DataSource V2 writing at this point because at the time of copying, it did not.

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Logging, AnyRef, Any
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GpuDataSource
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Instance Constructors

  1. new GpuDataSourceBase(sparkSession: SparkSession, className: String, paths: Seq[String] = Nil, userSpecifiedSchema: Option[StructType] = None, partitionColumns: Seq[String] = Seq.empty, bucketSpec: Option[BucketSpec] = None, options: Map[String, String] = Map.empty, catalogTable: Option[CatalogTable] = None, origProvider: Class[_])

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  5. val caseInsensitiveOptions: CaseInsensitiveMap[String]
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  11. final def getClass(): Class[_]
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  12. def globPaths: Boolean

    Whether or not paths should be globbed before being used to access files.

  13. def hashCode(): Int
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  14. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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  15. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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  17. def isTraceEnabled(): Boolean
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  18. def log: Logger
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  19. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
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  20. def logDebug(msg: ⇒ String): Unit
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  21. def logError(msg: ⇒ String, throwable: Throwable): Unit
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  22. def logError(msg: ⇒ String): Unit
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  23. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
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  24. def logInfo(msg: ⇒ String): Unit
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  25. def logName: String
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  26. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
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  27. def logTrace(msg: ⇒ String): Unit
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  28. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
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  29. def logWarning(msg: ⇒ String): Unit
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  30. final def ne(arg0: AnyRef): Boolean
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  31. def newHadoopConfiguration(): Configuration
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  32. final def notify(): Unit
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    @native()
  33. final def notifyAll(): Unit
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  34. def originalProvidingInstance(): Any
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  35. def resolveRelation(checkFilesExist: Boolean = true): BaseRelation

    Create a resolved BaseRelation that can be used to read data from or write data into this DataSource

    Create a resolved BaseRelation that can be used to read data from or write data into this DataSource

    checkFilesExist

    Whether to confirm that the files exist when generating the non-streaming file based datasource. StructuredStreaming jobs already list file existence, and when generating incremental jobs, the batch is considered as a non-streaming file based data source. Since we know that files already exist, we don't need to check them again.

  36. final def synchronized[T0](arg0: ⇒ T0): T0
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  37. def toString(): String
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  38. final def wait(): Unit
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  39. final def wait(arg0: Long, arg1: Int): Unit
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  40. final def wait(arg0: Long): Unit
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