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object XSDToSchema extends Logging

Utility to generate a Spark schema from an XSD. Not all XSD schemas are simple tabular schemas, so not all elements or XSDs are supported.

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  1. implicit class LogStringContext extends AnyRef
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    Logging

Value Members

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  10. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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  11. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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  13. def isTraceEnabled(): Boolean
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  14. def log: Logger
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  15. def logDebug(msg: => String, throwable: Throwable): Unit
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  16. def logDebug(entry: LogEntry, throwable: Throwable): Unit
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  17. def logDebug(entry: LogEntry): Unit
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  18. def logDebug(msg: => String): Unit
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  19. 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(entry: LogEntry, throwable: Throwable): Unit
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  25. def logInfo(entry: LogEntry): Unit
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  26. def logInfo(msg: => String): Unit
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  27. def logName: String
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  28. def logTrace(msg: => String, throwable: Throwable): Unit
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  29. def logTrace(entry: LogEntry, throwable: Throwable): Unit
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  30. def logTrace(entry: LogEntry): Unit
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  31. def logTrace(msg: => String): Unit
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  32. def logWarning(msg: => String, throwable: Throwable): Unit
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  33. def logWarning(entry: LogEntry, throwable: Throwable): Unit
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  35. def logWarning(msg: => String): Unit
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  36. final def ne(arg0: AnyRef): Boolean
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  37. final def notify(): Unit
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  38. final def notifyAll(): Unit
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  39. def read(xsdString: String): StructType

    Reads a schema from an XSD as a string.

    Reads a schema from an XSD as a string. Note that if the schema consists of one complex parent type which you want to use as the row tag schema, then you will need to extract the schema of the single resulting struct in the resulting StructType, and use its StructType as your schema.

    xsdString

    XSD as a string

    returns

    Spark-compatible schema

  40. def read(xsdPath: Path): StructType

    Reads a schema from an XSD path.

    Reads a schema from an XSD path. Note that if the schema consists of one complex parent type which you want to use as the row tag schema, then you will need to extract the schema of the single resulting struct in the resulting StructType, and use its StructType as your schema.

    xsdPath

    XSD path

    returns

    Spark-compatible schema

  41. final def synchronized[T0](arg0: => T0): T0
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  42. def toString(): String
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  43. final def wait(arg0: Long, arg1: Int): Unit
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  44. final def wait(arg0: Long): Unit
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  45. final def wait(): Unit
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  46. def withLogContext(context: Map[String, String])(body: => Unit): Unit
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Deprecated Value Members

  1. def finalize(): Unit
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    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

    (Since version 9)

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