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

CSVSchemaUtils

Related Doc: package csv

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object CSVSchemaUtils extends Product with Serializable

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  10. def infer(rdd: RDD[Array[String]], header: Seq[String], options: com.salesforce.op.utils.io.csv.CSVOptions, columnPruning: Boolean = true): StructType

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    Automatically infer CSV schema from the provided RDD.

    Automatically infer CSV schema from the provided RDD. The process is as follows:

    Similar to the JSON schema inference:

    1. Infer type of each row 2. Merge row types to find common type 3. Replace any null types with string type
    rdd

    data

    header

    CSV header

    options

    CSV options

    columnPruning

    If it is set to true, column names of the requested schema are passed to CSV parser. Other column values can be ignored during parsing even if they are malformed.

    returns

    inferred schema

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