Do I have to restart the Spark streaming job for new schema to take effect ?

I was trying Abris library and consuming CDC record generated by Debezium.

```
val abrisConfig: FromAvroConfig = (AbrisConfig
.fromConfluentAvro
.downloadReaderSchemaByLatestVersion
.andTopicNameStrategy(topicName)
.usingSchemaRegistry(schemaRegistryURL))

val df=(spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers", brokerServers)
.option("subscribe", topicName)
.load())

val deserializedAvro = (df
.select(from_avro(col("value"), abrisConfig)
.as("data"))
.select(col("data.after.*")))
deserializedAvro.printSchema()

val query = (deserializedAvro
.writeStream
.format("console")
.outputMode("append")
.option("checkpointLocation", s"s3://$bucketName/checkpoints/$tableName")
.trigger(Trigger.ProcessingTime("60 seconds"))
.start())
```

I added column while the streaming job is running. I was expecting it to print the new col that I added. It did not. Does it not dynamically refresh the schema from the version information in the payload ?
Do I have to restart the spark streaming job to process/view new columns ?