org.apache.spark.sql.execution.datasources.csv

CSVUtils

object CSVUtils

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  1. final def !=(arg0: AnyRef): Boolean

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  8. def dropHeaderLine(iter: Iterator[String], options: CSVOptions): Iterator[String]

    Drop header line so that only data can remain.

    Drop header line so that only data can remain. This is similar with filterHeaderLine above and currently being used in CSV reading path.

  9. final def eq(arg0: AnyRef): Boolean

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  10. def equals(arg0: Any): Boolean

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  11. def filterCommentAndEmpty(iter: Iterator[String], options: CSVOptions): Iterator[String]

    Filter ignorable rows for CSV iterator (lines empty and starting with comment).

    Filter ignorable rows for CSV iterator (lines empty and starting with comment). This is currently being used in CSV reading path and CSV schema inference.

  12. def filterCommentAndEmpty(lines: Dataset[String], options: CSVOptions): Dataset[String]

    Filter ignorable rows for CSV dataset (lines empty and starting with comment).

    Filter ignorable rows for CSV dataset (lines empty and starting with comment). This is currently being used in CSV schema inference.

  13. def filterHeaderLine(iter: Iterator[String], firstLine: String, options: CSVOptions): Iterator[String]

    Skip the given first line so that only data can remain in a dataset.

    Skip the given first line so that only data can remain in a dataset. This is similar with dropHeaderLine below and currently being used in CSV schema inference.

  14. def finalize(): Unit

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  22. def toChar(str: String): Char

    Helper method that converts string representation of a character to actual character.

    Helper method that converts string representation of a character to actual character. It handles some Java escaped strings and throws exception if given string is longer than one character.

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  23. def toString(): String

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  24. def verifySchema(schema: StructType): Unit

    Verify if the schema is supported in CSV datasource.

  25. final def wait(): Unit

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