Hi Michele, We’re doing release process for 0.9.1. Ufuk Celebi will start vote for 0.9.1 release soon.
Regards, Chiwan Park > On Aug 27, 2015, at 6:49 PM, Michele Bertoni > <michele1.bert...@mail.polimi.it> wrote: > > Hi everybody, > I am still waiting for version 0.9.1 to solve this problem, any idea on when > it will be released? > > > Thanks > Best, > > michele > > > > >> Il giorno 15/lug/2015, alle ore 15:58, Maximilian Michels <m...@apache.org> >> ha scritto: >> >> I was able to reproduce this problem. It turns out, this has already been >> fixed in the snapshot version: >> https://issues.apache.org/jira/browse/FLINK-2229 >> >> The fix will be included in the upcoming 0.9.1 release. Thank you again for >> reporting! >> >> Kind regards, >> Max >> >> On Wed, Jul 15, 2015 at 11:33 AM, Maximilian Michels <m...@apache.org> wrote: >> Hi Michele, >> >> Thanks for reporting the problem. It seems like we changed the way we >> compare generic types like your GValue type. I'm debugging that now. We can >> get a fix in for the 0.9.1 release. >> >> Cheers, >> Max >> >> On Tue, Jul 14, 2015 at 5:35 PM, Michele Bertoni >> <michele1.bert...@mail.polimi.it> wrote: >> Hi everybody, this discussion started in an other thread about a problem in >> union, but you said it was a different error then i am opening a new topic >> >> I am doing the union of two dataset and I am getting this error >> >> >> >> >> Exception in thread "main" >> org.apache.flink.api.common.InvalidProgramException: Cannot union inputs of >> different types. Input1=scala.Tuple6(_1: Long, _2: String, _3: Long, _4: >> Long, _5: Character, _6: >> ObjectArrayTypeInfo<GenericType<it.polimi.genomics.core.DataTypes.GValue>>), >> input2=scala.Tuple6(_1: Long, _2: String, _3: Long, _4: Long, _5: Character, >> _6: >> ObjectArrayTypeInfo<GenericType<it.polimi.genomics.core.DataTypes.GValue>>) >> at >> org.apache.flink.api.java.operators.UnionOperator.<init>(UnionOperator.java:46) >> at org.apache.flink.api.scala.DataSet.union(DataSet.scala:1101) >> at >> it.polimi.genomics.flink.FlinkImplementation.operator.region.GenometricCover2$.apply(GenometricCover2.scala:125) >> ... >> >> >> >> >> Input1= >> scala.Tuple6(_1: Long, _2: String, _3: Long, _4: Long, _5: Character, _6: >> ObjectArrayTypeInfo<GenericType<it.polimi.genomics.core.DataTypes.GValue>>) >> input2= >> scala.Tuple6(_1: Long, _2: String, _3: Long, _4: Long, _5: Character, _6: >> ObjectArrayTypeInfo<GenericType<it.polimi.genomics.core.DataTypes.GValue>>) >> >> >> as you can see the two datasets have the same type >> this error only happens with a custom data type (e.g. i am using an array of >> GValue, an array of Int or Double works) >> >> in the last flink version it was working (milestone and snapshot) now in >> 0.9.0 it is not >> >> what can it be? >> >> >> thanks for help >> >> cheers, >> Michele >> >> >
