There are some known issues in 1.6.0, e.g., https://issues.apache.org/jira/browse/SPARK-12591
Could you try 1.6.1? On Tue, Oct 11, 2016 at 9:55 AM, Joey Echeverria <j...@rocana.com> wrote: > I tried wrapping my Tuple class (which is generated by Avro) in a > class that implements Serializable, but now I'm getting a > ClassNotFoundException in my Spark application. The exception is > thrown while trying to deserialize checkpoint state: > > https://gist.github.com/joey/7b374a2d483e25f15e20c0c4cb81b5cf > > I set some flags[1] on the JVM and I can see the class get loaded in the > logs. > > Does anyone have any suggestions/recommendations for debugging class > loading issues during checkpoint deserialization? > > I also looked into switching to byte[] for the state keys, but byte[] > doesn't implement value-based equals() or hashCode(). I can't use > ByteBuffer because it doesn't implement Serializable. Spark has a > SerializableBuffer class that wraps ByteBuffer, but it also doesn't > have value-based equals() or hashCode(). > > -Joey > > [1] -verbose:class -Dsun.misc.URLClassPath.debug > > On Mon, Oct 10, 2016 at 11:28 AM, Joey Echeverria <j...@rocana.com> wrote: > > I do, I get the stack trace in this gist: > > > > https://gist.github.com/joey/d3bf040af31e854b3be374e2c016d7e1 > > > > The class it references, com.rocana.data.Tuple, is registered with > > Kryo. Also, this is with 1.6.0 so if this behavior changed/got fixed > > in a later release let me know. > > > > -Joey > > > > On Mon, Oct 10, 2016 at 9:54 AM, Shixiong(Ryan) Zhu > > <shixi...@databricks.com> wrote: > >> That's enough. Did you see any error? > >> > >> On Mon, Oct 10, 2016 at 5:08 AM, Joey Echeverria <j...@rocana.com> > wrote: > >>> > >>> Hi Ryan! > >>> > >>> Do you know where I need to configure Kryo for this? I already have > >>> spark.serializer=org.apache.spark.serializer.KryoSerializer in my > >>> SparkConf and I registered the class. Is there a different > >>> configuration setting for the state map keys? > >>> > >>> Thanks! > >>> > >>> -Joey > >>> > >>> On Sun, Oct 9, 2016 at 10:58 PM, Shixiong(Ryan) Zhu > >>> <shixi...@databricks.com> wrote: > >>> > You can use Kryo. It also implements KryoSerializable which is > supported > >>> > by > >>> > Kryo. > >>> > > >>> > On Fri, Oct 7, 2016 at 11:39 AM, Joey Echeverria <j...@rocana.com> > >>> > wrote: > >>> >> > >>> >> Looking at the source code for StateMap[1], which is used by > >>> >> JavaPairDStream#mapWithState(), it looks like state keys are > >>> >> serialized using an ObjectOutputStream. I couldn't find a reference > to > >>> >> this restriction in the documentation. Did I miss that? > >>> >> > >>> >> Unless I'm mistaken, I'm guessing there isn't a way to use Kryo for > >>> >> this serialization? > >>> >> > >>> >> Thanks! > >>> >> > >>> >> -Joey > >>> >> > >>> >> [1] > >>> >> > >>> >> https://github.com/apache/spark/blob/master/streaming/ > src/main/scala/org/apache/spark/streaming/util/StateMap.scala#L251 > >>> >> > >>> >> ------------------------------------------------------------ > --------- > >>> >> To unsubscribe e-mail: user-unsubscr...@spark.apache.org > >>> >> > >>> > > >>> > >>> > >>> > >>> -- > >>> -Joey > >> > >> > > > > > > > > -- > > -Joey > > > > -- > -Joey >
