Re: Spark data frames integration merged

Revin, I doubt IgniteRDD#getPrefferredLocations has any affect on data frames, but this is an interesting point. Nikolay, as a developer of this functionality, can you please comment on this? -Val On Wed, Jan 3, 2018 at 1:22 PM, Revin Chalil wrote: > Thanks Val for the info on indexes with DF.

Re: BinaryObjectImpl.deserializeValue with specific ClassLoader

Ticket is still open. Vladimir, looks like it's assigned to you. Do you have any plans to work on it? https://issues.apache.org/jira/browse/IGNITE-5038 -Val On Wed, Jan 3, 2018 at 1:26 PM, Abeneazer Chafamo wrote: > Is there any update on the suggested functionality to resolve cache entry > cl

Re: Spark data frames integration merged

Thank you and this is great news. We currently use the Ignite cache as a Reference dataset RDD in Spark, convert it into a spark DataFrame and then join this DF with the incoming-data DF. I hope we can change this 3 step process to a single step with the Spark DF integration. If so, would inde

Nightly builds from master

Guys, The latest build on the nightly builds page [1] is from May 31. Any idea why? [1] https://builds.apache.org/view/H-L/view/Ignite/job/Ignite-nightly/lastSuccessfulBuild/ -Val

[jira] [Created] (IGNITE-7349) Add possibility to serialise and deserialise IgniteAtomicSequence with custom AtomicConfiguration

Evgenii Zhuravlev created IGNITE-7349: - Summary: Add possibility to serialise and deserialise IgniteAtomicSequence with custom AtomicConfiguration Key: IGNITE-7349 URL: https://issues.apache.org/jira/browse/IG

[jira] [Created] (IGNITE-7348) Create MLP benchmarks

Oleg Ignatenko created IGNITE-7348: -- Summary: Create MLP benchmarks Key: IGNITE-7348 URL: https://issues.apache.org/jira/browse/IGNITE-7348 Project: Ignite Issue Type: Sub-task Com