private def newConverter()

in hudi-spark-datasource/hudi-spark3.0.x/src/main/scala/org/apache/spark/sql/avro/AvroSerializer.scala [99:230]
116 lines of code
36 McCabe index (conditional complexity)

  private def newConverter(catalystType: DataType, avroType: Schema): Converter = {
    (catalystType, avroType.getType) match {
      case (NullType, NULL) =>
        (getter, ordinal) => null
      case (BooleanType, BOOLEAN) =>
        (getter, ordinal) => getter.getBoolean(ordinal)
      case (ByteType, INT) =>
        (getter, ordinal) => getter.getByte(ordinal).toInt
      case (ShortType, INT) =>
        (getter, ordinal) => getter.getShort(ordinal).toInt
      case (IntegerType, INT) =>
        (getter, ordinal) => getter.getInt(ordinal)
      case (LongType, LONG) =>
        (getter, ordinal) => getter.getLong(ordinal)
      case (FloatType, FLOAT) =>
        (getter, ordinal) => getter.getFloat(ordinal)
      case (DoubleType, DOUBLE) =>
        (getter, ordinal) => getter.getDouble(ordinal)
      case (d: DecimalType, FIXED)
        if avroType.getLogicalType == LogicalTypes.decimal(d.precision, d.scale) =>
        (getter, ordinal) =>
          val decimal = getter.getDecimal(ordinal, d.precision, d.scale)
          decimalConversions.toFixed(decimal.toJavaBigDecimal, avroType,
            LogicalTypes.decimal(d.precision, d.scale))

      case (d: DecimalType, BYTES)
        if avroType.getLogicalType == LogicalTypes.decimal(d.precision, d.scale) =>
        (getter, ordinal) =>
          val decimal = getter.getDecimal(ordinal, d.precision, d.scale)
          decimalConversions.toBytes(decimal.toJavaBigDecimal, avroType,
            LogicalTypes.decimal(d.precision, d.scale))

      case (StringType, ENUM) =>
        val enumSymbols: Set[String] = avroType.getEnumSymbols.asScala.toSet
        (getter, ordinal) =>
          val data = getter.getUTF8String(ordinal).toString
          if (!enumSymbols.contains(data)) {
            throw new IncompatibleSchemaException(
              "Cannot write \"" + data + "\" since it's not defined in enum \"" +
                enumSymbols.mkString("\", \"") + "\"")
          }
          new EnumSymbol(avroType, data)

      case (StringType, STRING) =>
        (getter, ordinal) => new Utf8(getter.getUTF8String(ordinal).getBytes)

      case (BinaryType, FIXED) =>
        val size = avroType.getFixedSize()
        (getter, ordinal) =>
          val data: Array[Byte] = getter.getBinary(ordinal)
          if (data.length != size) {
            throw new IncompatibleSchemaException(
              s"Cannot write ${data.length} ${if (data.length > 1) "bytes" else "byte"} of " +
                "binary data into FIXED Type with size of " +
                s"$size ${if (size > 1) "bytes" else "byte"}")
          }
          new Fixed(avroType, data)

      case (BinaryType, BYTES) =>
        (getter, ordinal) => ByteBuffer.wrap(getter.getBinary(ordinal))

      case (DateType, INT) =>
        (getter, ordinal) => dateRebaseFunc(getter.getInt(ordinal))

      case (TimestampType, LONG) => avroType.getLogicalType match {
        // For backward compatibility, if the Avro type is Long and it is not logical type
        // (the `null` case), output the timestamp value as with millisecond precision.
        case null | _: TimestampMillis => (getter, ordinal) =>
          AvroUtils.microsToMillis(timestampRebaseFunc(getter.getLong(ordinal)))
        case _: TimestampMicros => (getter, ordinal) =>
          timestampRebaseFunc(getter.getLong(ordinal))
        case other => throw new IncompatibleSchemaException(
          s"Cannot convert Catalyst Timestamp type to Avro logical type ${other}")
      }

      case (ArrayType(et, containsNull), ARRAY) =>
        val elementConverter = newConverter(
          et, resolveNullableType(avroType.getElementType, containsNull))
        (getter, ordinal) => {
          val arrayData = getter.getArray(ordinal)
          val len = arrayData.numElements()
          val result = new Array[Any](len)
          var i = 0
          while (i < len) {
            if (containsNull && arrayData.isNullAt(i)) {
              result(i) = null
            } else {
              result(i) = elementConverter(arrayData, i)
            }
            i += 1
          }
          // avro writer is expecting a Java Collection, so we convert it into
          // `ArrayList` backed by the specified array without data copying.
          java.util.Arrays.asList(result: _*)
        }

      case (st: StructType, RECORD) =>
        val structConverter = newStructConverter(st, avroType)
        val numFields = st.length
        (getter, ordinal) => structConverter(getter.getStruct(ordinal, numFields))

      case (st: StructType, UNION) =>
        val unionConverter = newUnionConverter(st, avroType)
        val numFields = st.length
        (getter, ordinal) => unionConverter(getter.getStruct(ordinal, numFields))

      case (MapType(kt, vt, valueContainsNull), MAP) if kt == StringType =>
        val valueConverter = newConverter(
          vt, resolveNullableType(avroType.getValueType, valueContainsNull))
        (getter, ordinal) =>
          val mapData = getter.getMap(ordinal)
          val len = mapData.numElements()
          val result = new java.util.HashMap[String, Any](len)
          val keyArray = mapData.keyArray()
          val valueArray = mapData.valueArray()
          var i = 0
          while (i < len) {
            val key = keyArray.getUTF8String(i).toString
            if (valueContainsNull && valueArray.isNullAt(i)) {
              result.put(key, null)
            } else {
              result.put(key, valueConverter(valueArray, i))
            }
            i += 1
          }
          result

      case other =>
        throw new IncompatibleSchemaException(s"Cannot convert Catalyst type $catalystType to " +
          s"Avro type $avroType.")
    }
  }