Hello.
As far as I remember, Spark compatibility is dictated solely by
the corresponding spark-gremlin module from Tinkerpop and 3.3.x
release train officially supports only 2.2.
Maybe it is worth duplicating this question to the gremlin-users
list? The change that lifted Spark support to 2.3 wasn't large
though - https://github.com/apache/tinkerpop/pull/886
it will probably work out of the box with properly fixed Netty
dependencies versions.
Best regards,
Evgeniy Ignatiev.
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Hello.
As far as I remember, Spark compatibility is dictated solely by the corresponding spark-gremlin module from Tinkerpop and 3.3.x release train officially supports only 2.2.
Maybe it is worth duplicating this question to the gremlin-users list? The change that lifted Spark support to 2.3 wasn't large though - https://github.com/apache/tinkerpop/pull/886
it will probably work out of the box with properly fixed Netty dependencies versions.
Best regards,
Evgeniy Ignatiev.
On 4/24/2019 2:25 PM, polaco...@gmail.com wrote:
Hi,--
is it possible to run olap queries using SparkGraphComputer via YARN, with Apache Spark 2.3.2 ?https://docs.janusgraph.org/latest/version-compat.html states that only 2.2.x is supported. Has anyone tried compatibility with new version of Apache Spark?
Thanks.
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By the way, some time ago we used HBase Snapshot InputFormat for JanusGraph - https://github.com/JanusGraph/janusgraph/blob/master/janusgraph-hadoop-parent/janusgraph-hadoop-core/src/main/java/org/janusgraph/hadoop/formats/hbase/HBaseSnapshotBinaryInputFormat.java - it is actually faster, in one of our tests it outpaced Cassandra by an order of magnitude, but after that we faced with some extremely tricky issues with data distribution across cluster (horrible data skew in comparison with the identical code used for Cassandra backend) and were not able to truly track the root cause in our timeframe of HBase use.
Best regards,
Evgeniy Ignatiev.
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