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Posted to issues@spark.apache.org by "Taoufik DACHRAOUI (JIRA)" <ji...@apache.org> on 2019/04/13 21:54:00 UTC
[jira] [Created] (SPARK-27457) modify bean encoder to support avro
objects
Taoufik DACHRAOUI created SPARK-27457:
-----------------------------------------
Summary: modify bean encoder to support avro objects
Key: SPARK-27457
URL: https://issues.apache.org/jira/browse/SPARK-27457
Project: Spark
Issue Type: New Feature
Components: SQL
Affects Versions: 2.4.1
Reporter: Taoufik DACHRAOUI
Currently we modified JavaTypeInference to be able to create encoders for Avro objects; we have now two solutions, the one in this PR and another one using Encoders.bean (fewer code changes); which one is better? how to proceed? we should create another PR for the Encoders.bean solution?
The test we used for Encoders.bean is as follows:
{code:java}
implicit val avroExampleEncoder = Encoders.bean[AvroExample1](classOf[AvroExample1]).asInstanceOf[ExpressionEncoder[AvroExample1]]
val input: AvroExample1 = AvroExample1.newBuilder()
.setMyarray(List("Foo", "Bar").asJava)
.setMyboolean(true)
.setMybytes(java.nio.ByteBuffer.wrap("MyBytes".getBytes()))
.setMydouble(2.5)
.setMyfixed(new Magic("magic".getBytes))
.setMyfloat(25.0F)
.setMyint(100)
.setMylong(10L)
.setMystring("hello")
.setMymap(Map(
"foo" -> new java.lang.Integer(1),
"bar" -> new java.lang.Integer(2)).asJava)
.setMymoney(Money.newBuilder().setAmount(100.0F).setCurrency(Currency.EUR).build())
.build()
val row: InternalRow = avroExampleEncoder.toRow(input)
val output: AvroExample1 = avroExampleEncoder.resolveAndBind().fromRow(row)
val ds: Dataset[AvroExample1] = List(input).toDS()
println(ds.schema)
println(ds.collect().toList)
ds.write.format("avro").save("example1")
val fooDF = spark.read.format("avro").load("example1")
val fooDS = fooDF.as[AvroExample1]
println(fooDS.collect().toList)
{code}
The change is made in the branch [https://github.com/mazeboard/spark/tree/bean-encoder]
*with 105 additions and 39 deletions. (excluding the code for tests)*
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