Hien Luu created SPARK-27027:
--------------------------------
Summary: from_avro function does not deserialize the Avro record
of a struct column type correctly
Key: SPARK-27027
URL: https://issues.apache.org/jira/browse/SPARK-27027
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.4.0
Reporter: Hien Luu
from_avro function produces wrong output of a struct field. See the output at
the bottom of the description
=====================================================
import org.apache.spark.sql.types._
import org.apache.spark.sql.avro._
import org.apache.spark.sql.functions._
spark.version
val df = Seq((1, "John Doe", 30), (2, "Mary Jane", 25), (3, "Josh Duke",
50)).toDF("id", "name", "age")
val dfStruct = df.withColumn("value", struct("name","age"))
dfStruct.show
dfStruct.printSchema
val dfKV = dfStruct.select(to_avro('id).as("key"), to_avro('value).as("value"))
val expectedSchema = StructType(Seq(StructField("name", StringType,
true),StructField("age", IntegerType, false)))
val avroTypeStruct = SchemaConverters.toAvroType(expectedSchema).toString
val avroTypeStr = s"""
|{
| "type": "int",
| "name": "key"
|}
""".stripMargin
dfKV.select(from_avro('key, avroTypeStr)).show
dfKV.select(from_avro('value, avroTypeStruct)).show
// output for the last statement and that is not correct
+---------------------------------------------+
|from_avro(value, struct<name:string,age:int>)|
+---------------------------------------------+
| [Josh Duke, 50]|
| [Josh Duke, 50]|
| [Josh Duke, 50]|
+---------------------------------------------+
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