title: Spark read parquet with custom schema
body: <p>I'm trying to import data with parquet format with custom schema but it returns :
  TypeError: option() missing 1 required positional argument: 'value'</p>
  
  <pre><code>   ProductCustomSchema = StructType([
          StructField("id_sku", IntegerType(), True),
          StructField("flag_piece", StringType(), True),
          StructField("flag_weight", StringType(), True),
          StructField("ds_sku", StringType(), True),
          StructField("qty_pack", FloatType(), True)])
  
  def read_parquet_(path, schema) : 
      return spark.read.format("parquet")\
                               .option(schema)\
                               .option("timestampFormat", "yyyy/MM/dd HH:mm:ss")\
                               .load(path)
  
  product_nomenclature = 'C:/Users/alexa/Downloads/product_nomenc'
  product_nom = read_parquet_(product_nomenclature, ProductCustomSchema)
  </code></pre>