mazeboard edited a comment on issue #24367: [SPARK-27457][SQL] modify bean encoder to support avro objects URL: https://github.com/apache/spark/pull/24367#issuecomment-493660597 The following example shows why I prefer the solution that modifies ScalaReflection (https://github.com/apache/spark/pull/24299) In the example below, If we use bean encoder we must declare a tuple encoder as shown: ``` implicit val barcodeEncoder = Encoders.bean[Barcode](classOf[Barcode]).asInstanceOf[ExpressionEncoder[Barcode]] implicit val tuplEncoder = Encoders.tuple[String, Money, CrpAddDesc]( Encoders.STRING, Encoders.bean[Money](classOf[Money]).asInstanceOf[ExpressionEncoder[Money]], Encoders.bean[CrpAddDesc](classOf[CrpAddDesc]).asInstanceOf[ExpressionEncoder[CrpAddDesc]]) ... ... val ds: Dataset[Barcode] = List(barcode).toDS() val x: Dataset[(String, Money, CrpAddDesc)] = ds.map(a => { ( a.getBarcode, a.getPrdTaxVal, a.getCrpAttributes.get(0).getCrpAddDesc.get(0)) }) ``` if we do not declare the tuple encoder we get an error `No Encoder found for common.lib.v1.Money` But with the ScalaReflection (https://github.com/apache/spark/pull/24299) modification we just need to declare an encoder for Barcode as shown below: ``` implicit val barcodeEncoder = ExpressionEncoder[Barcode]() ... ... val ds: Dataset[Barcode] = List(barcode).toDS() val x: Dataset[(String, Money, CrpAddDesc)] = ds.map(a => { ( a.getBarcode, a.getPrdTaxVal, a.getCrpAttributes.get(0).getCrpAddDesc.get(0)) }) ```
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