Hello, We are trying out Spark for some file processing tasks.
Since each Spark worker node needs to access the same files, we have tried using Hdfs. This worked, but there were some oddities making me a bit uneasy. For dependency hell reasons I compiled a modified Spark, and this version exhibited the odd behaviour with Hdfs. The problem might have nothing to do with Hdfs, but the situation made me curious about the alternatives. Now I'm wondering what kind of file system would be suitable for our deployment. - There won't be a great number of nodes. Maybe 10 or so. - The datasets won't be big by big-data standards(Maybe a couple of hundred gb) So maybe I could just use a NFS server, with a caching client? Or should I try Ceph, or Glusterfs? Does anyone have any experiences to share? -- Joakim Verona joa...@verona.se --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
