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Joshua
wendelin.core
Commits
c4c25753
Commit
c4c25753
authored
Dec 06, 2019
by
Kirill Smelkov
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bigfile/file_zodb.py
bigfile/file_zodb.py
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bigfile/file_zodb.py
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c4c25753
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@@ -26,9 +26,9 @@ This way only regular ZODB objects - not blobs - are used, and whenever file
data is changed, δ(ZODB) is proportional to δ(data).
Being BigFile ZBigFile can be memory-mapped. Created mappings provide lazy
on-
access block loading and dirtying. This way ZBigFile larger than RAM can be
accessed transparently as if it was a regular array in RAM. Changes made to
ZBigFile data will be either saved or discarded depending on current
on-
read block loading and on-write dirtying. This way ZBigFile larger than RAM
can be accessed transparently as if it was a regular array in RAM. Changes made
to
ZBigFile data will be either saved or discarded depending on current
transaction completion - commit or abort. The amount of ZBigFile changes in one
transaction is limited by available RAM.
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@@ -41,7 +41,12 @@ ZBigFile does not weaken ZODB ACID properties, in particular:
API for clients
---------------
.fileh_open() -> open new BigFileH-like object which can be mmaped
API for clients is ZBigFile class and its .fileh_open() method:
.fileh_open() -> opens new BigFileH-like object which can be mmaped
The primary user of ZBigFile is ZBigArray (see bigarray/__init__.py and
bigarray/array_zodb.py), but ZBigFile itself can be used directly too.
Operating mode
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@@ -51,9 +56,9 @@ Two operating modes are provided: "local-cache" and "shared-cache".
Local-cache is the mode wendelin.core was originally implemented with in 2014.
In this mode ZBigFile data is loaded from ZODB directly via current ZODB connection.
It was relatively straight-forward to implement, but cached file data become
s
It was relatively straight-forward to implement, but cached file data become
duplicated in between ZODB connections of current process and in between
several
ZODB processes
.
several
client processes that use ZODB
.
In shared-cache mode file's data is accessed through special filesystem for
which data cache is centrally maintained by OS kernel. This mode was added in
...
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@@ -64,16 +69,24 @@ see wcfs/wcfs.go which describes the filesystem and shared-cache mode in detail.
The mode of operation can be selected via environment variable::
$WENDELIN_CORE_VIRTMEM
rw:uvmm
local-cache
(i.e. !wcfs) (default)
r:wcfs+w:uvmm
shared-cache
(i.e. wcfs)
rw:uvmm
local-cache
(i.e. !wcfs) (default)
r:wcfs+w:uvmm
shared-cache
(i.e. wcfs)
Data format
-----------
$WENDELIN_CORE_ZBLK_FMT
ZBlk0
ZBlk1
Due to weakness of current ZODB storage servers, wendelin.core cannot provide
at the same time both fast reads and small database size growth on small data
changes. "Small" here means something like 1-10000 bytes as larger changes
become comparable to 2M block size and are handled efficiently out of the box.
Until the problem is fixed on ZODB server side, users have to explicitly
indicate via environment variable that their workload is "small changes" if
they prefer to prioritize database size over access speed::
$WENDELIN_CORE_ZBLK_FMT
ZBlk0 fast reads (default)
ZBlk1 small changes
To represent BigFile as ZODB objects, each file block is represented separately
...
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