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-title: DiskPolicy
-
-
-If the `lru-entries-limit` attribute is greater than zero, the optional
`disk-policy` attribute determines how over-limit LRU entries are handled. LRU
entries over the limit are either destroyed by default (`disk-policy` is none )
or written to disk (`overflows`).
-
-**Note:**
-If `LruEntriesLimit` is `0`, or `CachingEnabled` is `false`, do not set the
`disk-policy` attribute. An `IllegalStateException` is thrown if the attribute
is set.
-
-This declaration causes LRU to overflow to disk:
-
-``` pre
-
-
-
-```
-
-Overflow requires a persistence manager for cache-to-disk and disk-to-cache
operations. See
[PersistenceManager](persistence-manager.html#persistence-manager).
-
-## Overflowing Data to Disk
-
-Region data can be stored to disk using the overflow process to satisfy region
capacity restrictions without completely destroying the local cache data. The
storage mechanism uses disk files to hold region entry data. When an entry is
overflowed, its value is written to disk but its key and entry object remain in
the cache. This also uses the region attribute
[DiskPolicy](disk-policy.html#disk-policy).
-
-Overflow allows you to keep the region within a user-specified size in memory
by relegating the values of least recently used (LRU) entries to disk. Overflow
essentially uses disk as a swap space for entry values. When the region size
reaches the specified threshold, entry values are moved from memory to disk, as
shown in the following figure. If an entry is requested whose value is only on
disk, the value is copied back into memory, possibly causing the value of a
different LRU entry to be overflowed to disk.
-
-
-
-Figure: Data Flow Between Overflow Region
and Disk Files
-
-
-
-In this figure the value of the LRU entry X has been moved to disk to recover
space in memory. The key for the entry remains in memory. From the distributed
system perspective, the value on disk is as much a part of the region as the
data in memory. A `get` performed on region B looks first in memory and then on
disk as part of the local cache search.
http://git-wip-us.apache.org/repos/asf/incubator-geode/blob/381d0faa/geode-docs/nativeclient/client-cache/entries.html.md.erb
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-title: Region Entries
-
-Region entries hold cached application data. Entries are automatically managed
according to region attribute settings.
-
-You can create, update, invalidate, and destroy entries through explicit API
calls or through operations distributed from other caches.
-
-When the number of entries is very large, a partitioned region can provide the
required data management capacity if the total size of the data is greater than
the heap in any single JVM.
-
-When an entry is created, a new object is instantiated in the region
containing:
-
-- The entry key.
-- The entry value. This is the application data object. The entry value may
be set to `NULL`, which is the equivalent of an invalid value.
-
-Entry operations invoke callbacks to user-defined application plug-ins. In
this chapter, the calls that may affect the entry operation itself (by
providing a value or aborting the operation, for example) are highlighted, but
all possible interactions are not listed. For details, see [Application
Plug-Ins](application-plugins.html#application-plugins).
-
-`DateTime` objects must be stored in the cache in UTC, so that times
correspond between client and server. If you use a date with a different time
zone, convert it when storing into and retrieving from the cache.
-
-
http://git-wip-us.apache.org/repos/asf/incubator-geode/blob/381d0faa/geode-docs/nativeclient/client-cache/expiration-attributes.html.md.erb
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-title: Specifying Expiration Attributes
-
-
-Expiration