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Update store documentation after #17616.

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Adrien Grand 2016-05-04 08:51:37 +02:00
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commit 51a53c55cb
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18
docs/reference/index-modules/store.asciidoc
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@ -8,9 +8,8 @@ The store module allows you to control how index data is stored and accessed on
=== File system storage types
There are different file system implementations or _storage types_. The best
one for the operating environment will be automatically chosen: `mmapfs` on
Windows 64bit, `simplefs` on Windows 32bit, and `default` (hybrid `niofs` and
`mmapfs`) for the rest.
one for the operating environment will be automatically chosen: `simplefs` on
Windows 32bit, `niofs` on other 32bit systems and `mmapfs` on 64bit systems.
This can be overridden for all indices by adding this to the
`config/elasticsearch.yml` file:
@ -61,12 +60,13 @@ process equal to the size of the file being mapped. Before using this
class, be sure you have allowed plenty of
<<vm-max-map-count,virtual address space>>.
[[default_fs]]`default_fs`::
[[default_fs]]`default_fs` deprecated[5.0.0, The `default_fs` store type is deprecated - use `mmapfs` instead]::
The `default` type is a hybrid of NIO FS and MMapFS, which chooses the best
file system for each type of file. Currently only the Lucene term dictionary
and doc values files are memory mapped to reduce the impact on the operating
system. All other files are opened using Lucene `NIOFSDirectory`. Address
space settings (<<vm-max-map-count>>) might also apply if your term
dictionaries are large.
file system for each type of file. Currently only the Lucene term dictionary,
doc values and points files are memory mapped to reduce the impact on the
operating system. All other files are opened using Lucene `NIOFSDirectory`.
Address space settings (<<vm-max-map-count>>) might also apply if your term
dictionary are large, if you index many fields that use points (numerics, dates
and ip addresses) or if you have many fields with doc values.