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spark.read.option(header,inferschema) .csv example

By Helpful HamsterHelpful Hamster on Apr 25, 2021 
val customSchema = StructType(Array(
    StructField("numicu", StringType, true),
    StructField("fecha_solicitud", TimestampType, true),
    StructField("codtecnica", StringType, true),
    StructField("tecnica", StringType, true),
    StructField("finexploracion", TimestampType, true),
    StructField("ultimavalidacioninforme", TimestampType, true),
    StructField("validador", StringType, true)))

val df_explo = spark.read
        .format("csv")
        .option("header", "true")
        .option("delimiter", "\t")
        .option("timestampFormat", "yyyy/MM/dd HH:mm:ss") 
        .schema(customSchema)
        .load(filename)

Source: stackoverflow.com

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