igorcalabria commented on issue #4288: URL: https://github.com/apache/iceberg/issues/4288#issuecomment-1062830554
I don't think `readObject` is called when using `KyroSerializer`. You can test this using a local standalone cluster: `./bin/spark-shell --master spark://localhost:7077 --conf spark.serializer=org.apache.spark.serializer.KryoSerializer --repositories https://repository.apache.org/content/repositories/snapshots --packages org.apache.iceberg:iceberg-spark-runtime-3.2_2.12:0.13.0-SNAPSHOT` ```scala import org.apache.iceberg.hadoop.HadoopMetricsContext import org.apache.iceberg.io.FileIOMetricsContext import org.apache.iceberg.metrics.MetricsContext val metricsContext = new HadoopMetricsContext("s3") metricsContext.initialize(new java.util.HashMap[String, String]()) metricsContext.counter(FileIOMetricsContext.WRITE_BYTES, classOf[java.lang.Long], MetricsContext.Unit.BYTES) // WORKS val broadcastContext = spark.sparkContext.broadcast(metricsContext) val data = Seq(("Thing")) val rdd = spark.sparkContext.parallelize(data) rdd.map { row => broadcastContext.value.counter(FileIOMetricsContext.WRITE_BYTES, classOf[java.lang.Long], MetricsContext.Unit.BYTES).increment() // NULLPOINTER }.collect() ``` Without kyro, previous snippet works fine. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
