You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: processor_decode.go
    path of file: ./repos/benthos/internal/impl/parquet
    
    the code of the file until where you have to start completion: package parquet

import (
	"bytes"
	"context"
	"errors"
	"
    
func parquetDecodeProcessorConfig() *service.ConfigSpec {
	return service.NewConfigSpec().
		// Stable(). TODO
		Categories("Parsing").
		Summary("Decodes [Parquet files](https://parquet.apache.org/docs/) into a batch of structured messages.").
		Field(service.NewBoolField("byte_array_as_string").
			Description("Whether to extract BYTE_ARRAY and FIXED_LEN_BYTE_ARRAY values as strings rather than byte slices in all cases. Values with a logical type of UTF8 will automatically be extracted as strings irrespective of this field. Enabling this field makes serialising the data as JSON more intuitive as `[]byte` values are serialised as base64 encoded strings by default.").
			Default(false).Deprecated()).
		Description(`
This processor uses [https://github.com/parquet-go/parquet-go](https://github.com/parquet-go/parquet-go), which is itself experimental. Therefore changes could be made into how this processor functions outside of major version releases.`).
		Version("4.4.0").
		Example("Reading Parquet Files from AWS S3",
			"In this example we consume files from AWS S3 as they're written by listening onto an SQS queue for upload events. We make sure to use the `to_the_end` scanner which means files are read into memory in full, which then allows us to use a `parquet_decode` processor to expand each file into a batch of messages. Finally, we write the data out to local files as newline delimited JSON.",
			`
input:
  aws_s3:
    bucket: TODO
    prefix: foos/
    scanner:
      to_the_end: {}
    sqs:
      url: TODO
  processors:
    - parquet_decode: {}

output:
  file:
    codec: lines
    path: './foos/${! meta("s3_key") }.jsonl'
`)
}