Free mysql storage engine aws s3 0.06 software for linux

A MySQL Storage Engine for AWS S3 project is a plugin storage engine that allows MySQL to access Amazon Web Services Simple Storage Service (AWS S3) buckets and items.
You need a MySQL source tree, and you need to have it built.
Figure out where the source tree is.
In my case its /home/mark/mysql/mysql-5.1-arch
Figure out where the target install tree is.
In my case its /home/mark/mysql/builds/example
Figure out where the MySQL build puts storage engine plugins.
Its probably in lib/mysql under the install tree
Or its /usr/lib/mysql
Or its /usr/local/lib/mysql
For me its /home/mark/mysql/builds/example/lib/mysql
Then run:
./config/bootstrap
./configure --with-mysql=/path/to/mysql-source --libdir=/path/to/mysql-plugins
make && make install
You can optionally copy the "src" directory here into storage/ in the
MySQL server source, rebuild MySQL, and things should compile.
Next, you should probably install the S3 command line tools.
They depend on you having Python.
Get them at http://www.hanzoarchives.com/development-projects/s3-tools/
If you dont have one yet, you need an Amazon AWS account, and then
request that they enable S3. Go to http://amazonaws.com/ to do that.
You will need to get your "AWS Access Key Identifiers".
Assume they are
FV8CY5793BC7CY32YOSN
W9oQxQNJizGgjxNc82giE9/ipefQW19tuO2xpC9G
(I just made those up with a random number generator.)
Put this in your .bashrc file
AWS_ACCESS_KEY_ID=FV8CY5793BC7CY32YOSN
AWS_ACCESS_KEY_SECRET=W9oQxQNJizGgjxNc82giE9/ipefQW19tuO2xpC9G
export AWS_ACCESS_KEY_ID AWS_ACCESS_KEY_SECRET
This isnt used by the storage engine, but it makes using the s3 command
line tools easier.
Use s3mkbucket to create a bucket. Remember that buckets are in a
global namespace, and there are advantages to having them look lik a
domain name. I suggest you snap up "s3.example.com", where
"example.com" is your own domain name.
s3mkbucket s3.example.com
s3put -k solfege/Do -s "a deer, a female deer" s3.example.com
s3put -k solfege/Re -s "a drop of golden sun" s3.example.com
s3put -k solfege/Mi -s "a name I call myself" s3.example.com
s3put -k solfege/Fa -s "a long long way to run" s3.example.com
s3put -k solfege/So -s "a needle pulling thread" s3.example.com
s3put -k solfege/La -s "a note to follow So" s3.example.com
s3put -k solfege/Ti -s "a drink with jam and bread" s3.example.com
Then at the mysql> prompt
create table s3notes (s3id varchar(255) not null primary key, s3val blob)
engine=AWSS3
connection=awss3 s3.example.com FV8CY5793BC7CY32YOSN W9oQxQNJizGgjxNc82giE9/ipefQW19tuO2xpC9G;
select * from s3notes where s3id=solfege/Re;
insert into s3notes (s3id, s3val) values (color/Red, ff 00 00);
select * from s3notes where s3id=color/Red;
delete from s3notes where s3id=color/Red;
You can name the table anything you want, but the fields must be named s3id and s3val, and s3id must be the primary key.
Enhancements:
- More flexible schema, CREATE SERVER, and SELECT without WHERE are supported.

Skeleton Engine for MySQL is a full framework to plug in a new storage engine. Comes with prebuild autoconf files, and a full framework to plug in your own design.

The AWS, HTTP, Memcache, Nitro, PBXT, and many other engines were put together from the skeleton engine.

To install, grab a copy of the mysql source code and run this:
./configure --with-mysql=/home/brian/mysql-5.1/ --libdir=/usr/local/lib/mysql/
make install

And then inside of MySQL:

mysql> INSTALL PLUGIN skeleton SONAME libskeleton_engine.so;

mysql> CREATE TABLE `d` (`a` varchar(125), b text, primary key(a)) ENGINE=skeleton DEFAULT
CHARSET=latin1;
Query OK, 0 rows affected (0.01 sec)

You will probably need to edit the Makefile.am in the src/ tree if you want to build on anything other then Linux (and the Makefile assumes that the server was not compiled for debug).

Storage Inspector is a Firefox extension that makes it easy to view any sqlite database files in the current profile. This includes the anti-phishing and search engine...

Developer Comments:

There are quite a few polish issues that need to be addressed before this version is ready for the masses. If you notice problems, please view the readme.txt file first and tell me if there are other issues.

You can set the storageinspector.openmode pref to 2 if you want the extension to open in a new tab instead of its own window.

I have primarily tested the extension in Firefox 2b1 but would still like feedback on how it runs in 3a1.

If you dont like something, please post here with a constructive statement telling me what you would like.

BerkeleyDB Backend Storage Engine for DURUS project provides a storage engine for DURUS, a persistence system for the Python programming language.
Some advantages compared to Durus standard FileStorage:
- Startup time is negligible.
- You dont need an in-memory index, so your repository size is only limited by storage space, not RAM.
- If you change existing objects, your storage size doesnt increase.
- If you delete objects, those objects are garbage collected in background, slowly, without performance degradation.
- You can still do a full fast collection, if you need it. While this collection is in progress, Durus still serves objects. From time to time, nevertheless, it can be unresponsible for 2 or 3 seconds, while is doing a checkpointing to be able to free database logging diskspace.
- Garbage collection doesnt increase storage size. Neither RAM usage.
- Garbage collection deletes objects using nondurable transactions, very efficiently. If the collection is aborted abruptly (program or machine crashes), the collection will start again from the beginning. If the GC finishes without problems, that state is durable.
- Any object store in the storage will commit a durable transaction, including all objects released in the background garbage collector, along the way.
- Garbage collection time is proportional to garbage, not repository size.
There are some disadvantages, nevertheless:
- IMPORTANT: This backend uses reference counting to decide when an object is garbage and can be collected. So, if you have cycles in your data structures, you **MUST*BREAK** them before releasing the objects.
- Failing to do that will leak diskspace. It is possible that in a future release we can collect cycles, but try to avoid that pattern.
- Leaking objects will grow the diskspace, but **NO** corruption or malfunction will happen. No other secondary effect.
- Although this code could work on Windows, I havent checked it. Absolutely no garantee!.
- Sometimes this backend can become irresponsible for a couple of seconds. It is busy doing a checkpoint to recycle database logging space. The pause should be sort, nevertheless.
- Dont use this storage backend over NFS, at least you know what is going on.
- Since we are using BerkeleyDB as the backend:
- You should be experienced with BerkeleyDB deployments.
- Beware when updating Python or BerkeleyDB. In particular, BerkeleyDB is known by breaking (but they DOCUMENT!) binary compatibility between versions. In this case, they ALWAYS document the procedure to do a controlled upgrade, so dont worry. But take note of the risk.
- To do a trustable backup, you should follow instructions in BerkeleyDB documentation:
- http://www.sleepycat.com/docs/ref/transapp/reclimit.html
- http://www.sleepycat.com/docs/ref/transapp/archival.html
- http://www.sleepycat.com/docs/utility/db_hotbackup.html
- In Python you can use the standard "bsddb" or the up-to-date "bsddb3" bindings (which will be included in new python versions). This product will try to use always the more recent BerkeleyDB bindings. Be careful about BerkeleyDB version changes when you update the bindings.
- Since BerkeleyDB files are binary structures, a corrupt database can be unrecoverable. Be diligent and careful with your backups.
You can use this product both as a normal (local) filestorage, or a server (remote) storage system, just like the usual Durus FileStorage.
Enhancements:
- Compatibility with Durus 3.7 was added.

Smooth Engine is a simple, smooth, yet versatile theme engine, capable of mimicing many theme engines; it is designed to be highly flexible yet retain a relatively small footprint to provide a fair balance between speed, memory, and overall design.

madlibs engine project is a MadLibs clone.

The madlibs engine is a tiny engine for MadLibs-like interactive stories. Basically, you enter different words of a certain part of speech.

The program pastes them into a story text, creating weird, funny, or stupid results.

It runs on anything from a line printer to an xterm.

Nelit2 Engine project is a game engine.
Nelit2 Engine is a game engine that uses a Model-View-Controller concept. All View-s classes was developed by me, and you can dont worrie about this.
Model-s classes also was developed by me, but you can modify it for your game or write new class and use Model class how abstract.
The engine uses some popular libraries such OpenGL and SDL.
It works on Unix systems and on Windows.
Enhancements:
- Decoding png, bmp, jpg texture-file.
- 3D mesh.
- Cubemap texturing.