Created
May 24, 2014 02:16
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Snippet showing how I try to create a setup a spark context using my custom kryo registrator for Avro generics.
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| import org.apache.spark.SparkContext | |
| import org.apache.spark.SparkConf | |
| val conf = new SparkConf().setMaster(“spark://spark-master:7077”).setAppName(“myapp”) | |
| conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer") | |
| conf.set("spark.kryo.registrator", "contrail.AvroGenericRegistrator") | |
| sc.stop() | |
| val sc = new SparkContext(conf) | |
| val contigFile = contrail.AvroHelper.readAvro(sc,"hdfs://hadoop-nn//tmp/contrail.stages.CompressAndCorrect/part-*.avro") | |
| val datums = contigFile.map(r => r._1.datum) | |
| val keyedById = datums.map(r => (r.get("node_id").toString, r)) | |
| keyedById.cache() | |
| keyedById.lookup(“4fw3YAOX8-lvVjIWgNPGYR3gc5CvsxI”) |
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