Hortonworks had released HDP 2.6 in Q2 2017. Isilon engineering team worked closely with Hortonworks engineering team to validate HDP 2.6 with OneFS.
One of the features of HDP 2.6 was LLAP (Long Live And
Process). LLAP enables as fast as sub-second SQL
analytics on Hadoop by intelligently caching data in memory with persistent
servers that instantly process SQL queries.
However, please note that LLAP is officially NOT SUPPORTED with
OneFS. Customers are advised NOT to use LLAP (even though it may seem to
work after config changes) because it could potentially result in data
inconsistency issue
Additional Details
By
default, LLAP uses “inode paths” to access data from file system. OneFS currently
does not support referencing files by inode. So queries coming through LLAP
will fail on OneFS.
However,
it is possible to configure Hive LLAP to NOT use inode path by setting hive.llap.io.use.fileid.path = false
With this configuration change, the queries will be executed and this will make LLAP technically “usable”
with Isilon but will also cause potential data inconsistency issue. This
is because with this capability turned off, LLAP will try to access data by
filename (and not by inode path) in the filesystem, which means that the LLAP cache can potentially has
an outdated file with the same filename but not knowing that there is a newer
one to fetch.
Recommendation:
LLAP support with Isilon is currently
planned for future release of OneFS. For more details on timing of release, contact your Isilon/Hortonworks representative