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Last
month, Terracotta told DZone that they were working on a module for
Ehcache and Hibernate users that would bypass the Java garbage
collection bottleneck. The severely limited heap size allowed by the
Java garbage collector (if you don't want to have significant
performance issues) is a problem that has plagued the industry for
years. Terracotta believes that today's memory requirements are
finally forcing many to address this issue
, and now Terracotta has their own answer - BigMemory.
DZone
interviewed Terracotta CEO Amit Pandey about his company's solution to
the GC problem in Java. BigMemory is a snap-in module that provides
off-heap memory storage. It is a pure Java solution that works with all
JVMs and bypasses the Java garbage collector. You don't even need to
be in distributed caching mode to use BigMemory, but it works with both
standalone and distributed caches. Like most Ehcache features, it
requires only a few lines of configuration. BigMemory can also handle
hundreds of millions of objects.
Here are the two steps needed to implement BigMemory (when it is released) in Ehcache:
1. Update the Java classpath and startup arguments to include the new
ehcache-2.3 jar and allocate sufficient memory for the BigMemory off-heap
store.
2. Update the cache configuration in ehcache.xml to set the size of the
BigMemory off-heap store.
<ehcache>
<cache name="mycache" maxElementsInMemory="10000"
overflowToOffHeap="true" maxMemoryOffHeap="4G"/>
</ehcache>
"People
have been trying to make better garbage collectors for years and
years. Sun/Oracle have been putting a lot of money into solving this
problem, but they're only getting incremental improvements."
Terracotta, Pandey says, is able to solve the problem more elegantly
because they they "own the cache." So they decided to write their own
memory manager and bypass Java GC completely, freeing developers from
difficult and time consuming GC tuning.
Currently in the late
beta stages, Pandey told DZone that the responses to BigMemory were very
positive from early beta users. Testing of the memory manager revealed
that the responses to increased memory were fast and flat, meaning that
it could be counted on to meet performance requirements in a Service
Level Agreement. The greater memory utilization with BigMemory also
allows server consolidation.
App Latency Over Time
Terracotta
has tested heap sizes up to 350GB without running into a wall like the
2GB threshold in Java GC. Pandey says Terracotta is avoiding many of
the problems (fragmentation, poor memory management techniques, etc.)
that others have encountered when they tried to build their own memory
manager. Pandey says the tagline for BigMemory will be: "Use all the
memory you need to get blazingly fast performance."
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