[jira] [Created] (SPARK-22460) Spark De-serialization of Timestamp field is Incorrect

["Saniya Tech (JIRA)" <ji...@apache.org>]

Saniya Tech created SPARK-22460:
-----------------------------------

             Summary: Spark De-serialization of Timestamp field is Incorrect
                 Key: SPARK-22460
                 URL: https://issues.apache.org/jira/browse/SPARK-22460
             Project: Spark
          Issue Type: Bug
          Components: Input/Output
    Affects Versions: 2.1.1
            Reporter: Saniya Tech


We are trying to serialize Timestamp fields to Avro using spark-avro connector. I can see the Timestamp fields are getting correctly serialized as long (milliseconds since Epoch). I verified that the data is correctly read back from the Avro files. It is when we encode the Dataset as a case class that timestamp field is incorrectly converted to as long value as seconds since Epoch. As can be seen below, this shifts the timestamp many years in the future.

Code used to reproduce the issue:

{code:java}
import java.sql.Timestamp

import com.databricks.spark.avro._
import org.apache.spark.sql.{Dataset, Row, SaveMode, SparkSession}

case class TestRecord(name: String, modified: Timestamp)

import spark.implicits._
val data = Seq(
  TestRecord("One", new Timestamp(System.currentTimeMillis()))
)

// Serialize:
val parameters = Map("recordName" -> "TestRecord", "recordNamespace" -> "com.example.domain")
val path = s"s3a://some-bucket/output/"
val ds = spark.createDataset(data)
ds.write
  .options(parameters)
  .mode(SaveMode.Overwrite)
  .avro(path)
//

// De-serialize
val output = spark.read.avro(path).as[TestRecord]
{code}

Output from the test:
{code:java}
scala> data.head
res4: TestRecord = TestRecord(One,2017-11-06 20:06:19.419)

scala> output.collect().head
res5: TestRecord = TestRecord(One,49819-12-16 17:23:39.0)
{code}





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