[
https://issues.apache.org/jira/browse/LUCENE-6086?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Adrien Grand updated LUCENE-6086:
---------------------------------
Attachment: LUCENE-6086.patch
The idea behing this encoding is that longs are often used to store timestamps,
and that floats and doubles often store simple integral values. Here is a patch
and a quick summary of the improvements.
Float value representing an integer in -63..63:
- trunk: 4 bytes
- patch: 1 byte
Other positive float values:
- trunk: 4 bytes
- patch: 4 bytes
Other negative float values:
- trunk: 4 bytes
- patch: 5 bytes
Double value representing an integer in -63..62:
- trunk: 8 bytes
- patch: 1 byte
Double value that can be represented exactly with a float (eg. 1000, 0.25)
- trunk: 8 bytes
- patch: 5 bytes
Other positive double values:
- trunk: 8 bytes
- patch: 8 bytes
Other negative double values:
- trunk: 8 bytes
- patch: 9 bytes
Long values use zig-zag encoding with some optimizations for timestamps. So for
instance a number in -16..15:
- trunk: 8 bytes
- patch: 1 byte
Now with second-level precision:
- trunk: 8 bytes
- patch: 5 bytes
Now with hour-level precision:
- trunk: 8 bytes
- patch: 4 bytes
Today (day precision):
- trunk: 8 bytes
- patch: 3 bytes
> Minor optimizations to the encoding of numerics in stored fields
> ----------------------------------------------------------------
>
> Key: LUCENE-6086
> URL: https://issues.apache.org/jira/browse/LUCENE-6086
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Adrien Grand
> Assignee: Adrien Grand
> Priority: Minor
> Fix For: 5.0
>
> Attachments: LUCENE-6086.patch
>
>
> LUCENE-5914 explored minor optimizations for numeric encoding in stored
> fields, I think we should try to push them to the default format.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org
For additional commands, e-mail: dev-h...@lucene.apache.org
