tmpfs - Using ChronicleMap in Apache Spark -


we want use chroniclemap in apache spark on workers store shared cache within vm. currently, using hazelcast share cache obviously, being able use off-heap memory free , avoiding tcp-ip (even on 127.0.0.1) things chroniclemap why want able use it.

the idea executors land within same physical machine share cache , cache persisted tmpfs stays valid till vm alive (we dont need values persisted across instance lifecycles) , worker joining start using it. ideally need lru eviction on keys stored , although chroniclemap not support it, given usage of off-heap memory, guess live restriction more concerning requirement recover crashes during access exclusively problem in our setup.

for example, lets have 5 executors running on same vm sharing cache , 1 of vms crashes during access corrupting cache. there no way other executors know this, have 1 of them recover while wait. if @ least guaranteed concurrent recovery or access during recovery or on corrupted cache throw exception, because then, failing on access can try acquiring file lock , begin recovery process , else accessing during time might receive exception indicating recovery ongoing , finally, cache fixed , things normal docs, looks behavior undefined leaves many doubts.

is possible chroniclemap working in our setup? has else had success getting work in apache spark, given these requirements? advice help.


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