Avro write java.sql.Timestamp conversion error - apache-spark

Question

I need to write a timestamp to Kafka partition and then read it from it. I have defined an Avro schema for that:
{ "namespace":"sample",
"type":"record",
"name":"TestData",
"fields":[
{"name": "update_database_time", "type": "long", "logicalType": "timestamp-millis"}
]
}
However, I get a conversion error in the producer.send line:
java.lang.ClassCastException: java.sql.Timestamp cannot be cast to java.lang.Long
How can I fix this?
Here is the code for writing timestamp to Kafka:
val tmstpOffset = testDataDF
.select("update_database_time")
.orderBy(desc("update_database_time"))
.head()
.getTimestamp(0)
val avroRecord = new GenericData.Record(parseAvroSchemaFromFile("/avro-offset-schema.json"))
avroRecord.put("update_database_time", tmstpOffset)
val producer = new KafkaProducer[String, GenericRecord](kafkaParams().asJava)
val data = new ProducerRecord[String, GenericRecord]("app_state_test7", avroRecord)
producer.send(data)

Answer 1

Avro doesn't support time for timestamp directly, but logically by long. So you can convert it to long and use it as below. unix_timestamp() function is used for conversion, but if you have a specific date format, use the unix_timestamp(col, dataformat) overloaded function.
import org.apache.spark.sql.functions._
val tmstpOffset = testDataDF
.select((unix_timestamp("update_database_time")*1000).as("update_database_time"))
.orderBy(desc("update_database_time"))
.head()
.getTimestamp(0)