Hi,

Some comments:

- If you plan to support also other projections than EPSG:3857, woudn't it be 
better to call it SQLite cache? If cache is not in EPSG:3857 then it is not 
MBTiles really. Actually I can see that you have been reading MapCache 
documentation about its SQLite cache http://mapserver.org/mapcache/caches.html. 
If the cache is not exactly MBTiles I think it would be good to evaluate if the 
same db schema than MapCache is using could suit also for GWC. Having some 
interoperability among two OSGeo project would not make harm unless there is 
something we can do obviously better.
- I wonder if WAL would suit for this kind of usage 
http://www.sqlite.org/draft/wal.html
- Replace might be good to be used instead of VACUUM as well
- Have you considered to use ATTACH/DETACH DATABASE  
http://sqlite.org/lang_attach.html http://sqlite.org/lang_detach.html as a 
possible alternative for your procedure in Replace operation? I am not sure but 
it might allow to keep connection to main database open all the time and swap 
the attached db on-the-fly. If you run service from attached_1, make new 
attachment as attached_2, swap requests to attached_2 and detach attached_1.  
Detach will fail during transactions so replacement should be instant instead 
of almost instant. But it looks like ATTACH and WAL do not suit together well.
- I wonder that if SQLite is completely seeded then GWC could open it as 
read-only and avoid possible corruption on shared file systems.

-Jukka Rahkonen-




-----Alkuperäinen viesti-----
Lähettäjä: Nuno Oliveira [mailto:[email protected]] 
Lähetetty: 19. toukokuuta 2016 13:01
Vastaanottaja: Geoserver-devel
Aihe: [Geoserver-devel] Adding MBTiles Support in GWC

Hi all,
sorry for the cross posting.

We would like to add MBTiles support to GWC. 
Follows a description of the work with the main issues\limitations.

I would like to have community feedback on this, by the way is there a better 
way to propose this work ?

* MBtiles and SQLitle *

MBtiles is a specification that describe how to store tiles in an SQLite 
database, this will allow us to store many tiles in a single SQLite file 
avoiding us file systems headaches: 
https://github.com/mapbox/mbtiles-spec/blob/master/1.1/spec.md.

We can rely on GeoTools gt-mbtiles module for reading and writing MBTiles, this 
way most of the work of implementing this blobstore will be managing SQLite 
connections and SQLite files.

SQLite files cannot be managed as simple files. When connections to an SQLite 
database are open we should not delete, move or switch the associated file. 
Databases files can be filled with "empty space" after deleting an huge amount 
of data or can become fragmented after frequent inserts, updates or delete 
operations. 

SQLite documentation warns us against putting databases files on a shared file 
system if multiple process need access to it (which is our case). Unless we can 
rely on a distributed lock mechanism SQLite databases files should not be used 
with shared stores.

* VACUUM and DiskQuota *

To remove the fragmented space (or the empty space), the VACUUM command needs 
to be executed. Although, performing a VACUUM command as a few
drawbacks:

    - During a VACUUM twice the size of the original database file is required 
in disk.
    - During the VACUUM operation no access to the database is allowed.
    - The VACUUM operation copies the whole database which can take minutes.

For these reasons the VACUUM command cannot  be performed after each operation. 
When possible we will avoid creating fragmented space. For example, during a 
truncate operation we may prefer remove a whole SQLilte file instead of 
deleting part of is content. Another consequence of the fragmented space is 
that DiskQuota will not be compatible with this blobstore.

* MBTiles Granularity *

Reading and writing tiles on an SQLite database will be slower than writing on 
a file system but will allow us to avoid file system headaches. In order to 
limit the amount of contention on each single MBTiles file we will allow users 
to decide the granularity of the files so that instead of having a single file 
for each single layer we will allow users to have more granularity.

MBTiles force us to have at least a file per layer and format. If we want to 
support more CRSs we will also need a file for each CRSs. By configuration it 
will be possible to configure the granularity  of the database files. By 
default we will have a granularity per layer, crs, format and zoom level. As an 
instance something like this could be offered:

    <blobstore>
       <file>/path/to/{grid}/{dim}/{tileset}/{z}/{x}-{y}.sqlite</file>
       <xcount>1000</xcount>
       <ycount>1000</ycount>
    </blobstore>

In this case we should include the {x}, {y} and {z} replacements in the 
template determining the file to use. In the previous example, tile
(z,x,y)=(15,3024,1534) would be stored in a file named 
/path/to/g/mytileset/15/3000-1000.sqlite3 and tile (5,2,8) would be stored in a 
file named /path/to/g/mytileset/5/0-0.sqlite3.

With more databases files we have more performance but we will have also more 
files to manage on the file system. In addition we can couple this with the 
in-memory cache in order to improve tile serving performance.

* Connection Pooling and Performance *

SQLite allow multiple readers but only allow one writer at the time which will 
block the entire database. At most only one connection should be open to each 
SQLite database, the total number of open connections is limited by the number 
of open files allowed by the OS (in linux this is controlled by the ulimit). A 
connection pool that will control the number of open connections and that will 
be responsible to manage the connections will be implemented.

* Replace Operation *

As said before, if the cache is running we cannot simply switch SQLite files, 
we need to make sure that all connections are closed. A replace operation will 
be created for this propose. The replace operation will first copy the new file 
side by side the old one, then block the requests to the old file, tear down 
the store, delete the old one, rename the new file to current one, reopen the 
new db file and start serving requests again. Should be almost instant. A REST 
entry point for this operation will be created (with the possibility to send 
the new file with the request).

Regards,

--
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