On Tuesday 28 April 2015 01:39 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) wrote:
val conf = new SparkConf()
.setAppName(detail)
.set("spark.serializer",
"org.apache.spark.serializer.KryoSerializer")
.set("spark.kryoserializer.buffer.mb",
arguments.get("buffersize").get)
.set("spark.kryoserializer.buffer.max.mb",
arguments.get("maxbuffersize").get)
.set("spark.driver.maxResultSize",
arguments.get("maxResultSize").get)
.registerKryoClasses(Array(classOf[org.apache.accumulo.core.data.Key]))
Can you try this ?
On Tue, Apr 28, 2015 at 11:11 AM, madhvi <madhvi.gu...@orkash.com
<mailto:madhvi.gu...@orkash.com>> wrote:
Hi,
While connecting to accumulo through spark by making sparkRDD I am
getting the following error:
object not serializable (class: org.apache.accumulo.core.data.Key)
This is due to the 'key' class of accumulo which does not
implement serializable interface.How it can be solved and accumulo
can be used with spark
Thanks
Madhvi
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Deepak
Hi Deepak,
The snippet you proveide is of scala but I am working on java.I am tryng
the same thing in java but please can you specify in detail what are the
parameters you mentioned in that such as 'arguements'.
Thanks
Madhvi
