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c

org.apache.spark.sql.catalyst.csv

UnivocityParser

class UnivocityParser extends Logging

Constructs a parser for a given schema that translates CSV data to an InternalRow.

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Instance Constructors

  1. new UnivocityParser(schema: StructType, options: CSVOptions)
  2. new UnivocityParser(dataSchema: StructType, requiredSchema: StructType, options: CSVOptions)
  3. new UnivocityParser(dataSchema: StructType, requiredSchema: StructType, options: CSVOptions, filters: Seq[Filter])

    dataSchema

    The CSV data schema that is specified by the user, or inferred from underlying data files.

    requiredSchema

    The schema of the data that should be output for each row. This should be a subset of the columns in dataSchema.

    options

    Configuration options for a CSV parser.

    filters

    The pushdown filters that should be applied to converted values.

Type Members

  1. implicit class LogStringContext extends AnyRef
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Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##: Int
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  4. def MDC(key: LogKey, value: Any): MDC
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  5. final def asInstanceOf[T0]: T0
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    @throws(classOf[java.lang.CloneNotSupportedException]) @IntrinsicCandidate() @native()
  7. final def convertSingleVariantRow(tokens: Array[String], currentInput: UTF8String): GenericInternalRow

    The entire line of CSV data is collected into a single variant object.

    The entire line of CSV data is collected into a single variant object. When headerColumnNames is defined, the field names will be extracted from it. Otherwise, the field names will have a a format of "_c$i" to match the position of the values in the CSV data.

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  10. final def getClass(): Class[_ <: AnyRef]
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  11. def hashCode(): Int
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  12. var headerColumnNames: Option[Array[String]]
  13. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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  14. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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  15. final def isInstanceOf[T0]: Boolean
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  16. def isTraceEnabled(): Boolean
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  17. def log: Logger
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  18. def logBasedOnLevel(level: Level)(f: => MessageWithContext): Unit
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  19. def logDebug(msg: => String, throwable: Throwable): Unit
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  21. def logDebug(entry: LogEntry): Unit
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  22. def logDebug(msg: => String): Unit
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  23. def logError(msg: => String, throwable: Throwable): Unit
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  24. def logError(entry: LogEntry, throwable: Throwable): Unit
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  26. def logError(msg: => String): Unit
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  27. def logInfo(msg: => String, throwable: Throwable): Unit
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  28. def logInfo(entry: LogEntry, throwable: Throwable): Unit
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  29. def logInfo(entry: LogEntry): Unit
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  30. def logInfo(msg: => String): Unit
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  31. def logName: String
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  32. def logTrace(msg: => String, throwable: Throwable): Unit
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  33. def logTrace(entry: LogEntry, throwable: Throwable): Unit
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  34. def logTrace(entry: LogEntry): Unit
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  35. def logTrace(msg: => String): Unit
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  36. def logWarning(msg: => String, throwable: Throwable): Unit
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  37. def logWarning(entry: LogEntry, throwable: Throwable): Unit
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  38. def logWarning(entry: LogEntry): Unit
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  39. def logWarning(msg: => String): Unit
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  40. def makeConverter(name: String, dataType: DataType, nullable: Boolean = true): ValueConverter

    Create a converter which converts the string value to a value according to a desired type.

    Create a converter which converts the string value to a value according to a desired type. Currently, we do not support complex types (ArrayType, MapType, StructType).

    For other nullable types, returns null if it is null or equals to the value specified in nullValue option.

  41. final def ne(arg0: AnyRef): Boolean
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  42. final def notify(): Unit
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    @IntrinsicCandidate() @native()
  43. final def notifyAll(): Unit
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    @IntrinsicCandidate() @native()
  44. val options: CSVOptions
  45. val parse: (String) => Option[InternalRow]

    Parses a single CSV string and turns it into either one resulting row or no row (if the the record is malformed).

  46. final def synchronized[T0](arg0: => T0): T0
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  47. def toString(): String
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  48. val tokenizer: CsvParser
  49. final def wait(arg0: Long, arg1: Int): Unit
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  50. final def wait(arg0: Long): Unit
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  51. final def wait(): Unit
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  52. def withLogContext(context: Map[String, String])(body: => Unit): Unit
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Deprecated Value Members

  1. def finalize(): Unit
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    Deprecated

    (Since version 9)

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