class UnivocityParser extends Logging
Constructs a parser for a given schema that translates CSV data to an InternalRow.
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- new UnivocityParser(schema: StructType, options: CSVOptions)
- new UnivocityParser(dataSchema: StructType, requiredSchema: StructType, options: CSVOptions)
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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.
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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
nullValueoption. -
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- val options: CSVOptions
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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).
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def
toString(): String
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- val tokenizer: CsvParser
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