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c

org.apache.spark.sql.execution.datasources.parquet

ParquetToSparkSchemaConverter

class ParquetToSparkSchemaConverter extends AnyRef

This converter class is used to convert Parquet MessageType to Spark SQL StructType.

Parquet format backwards-compatibility rules are respected when converting Parquet MessageType schemas.

See also

https://github.com/apache/parquet-format/blob/master/LogicalTypes.md

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Instance Constructors

  1. new ParquetToSparkSchemaConverter(conf: Configuration)
  2. new ParquetToSparkSchemaConverter(conf: SQLConf)
  3. new ParquetToSparkSchemaConverter(assumeBinaryIsString: Boolean = SQLConf.PARQUET_BINARY_AS_STRING.defaultValue.get, assumeInt96IsTimestamp: Boolean = SQLConf.PARQUET_INT96_AS_TIMESTAMP.defaultValue.get)

    assumeBinaryIsString

    Whether unannotated BINARY fields should be assumed to be Spark SQL StringType fields.

    assumeInt96IsTimestamp

    Whether unannotated INT96 fields should be assumed to be Spark SQL TimestampType fields.

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    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  6. def convert(parquetSchema: MessageType): StructType

    Converts Parquet MessageType parquetSchema to a Spark SQL StructType.

  7. def convertField(parquetType: Type): DataType

    Converts a Parquet Type to a Spark SQL DataType.

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