Free navicat mysql torrent software for linux

Gtk+ MySQL Command Center is a GUI client for MySQL databases.
Gtk+ MySQL Command Center will help you to use your MySQL servers, do requests on them, manage their configuration (users, process, etc.), dump datas and structure and more.
You dont need GNOME to use it.
Main features:
- Use gtk+ only (doesnt need Gnome)
- Manage a mysql server list (Store in a XML file)
- SQL Query window (with query duplication capabilities)
- Edit value directly in the results table
- Multi-window system ... not all request in the same window
- Dump SQL table|database|serveur|request into SQL, XML and CSV files

QTorrent is a BitTorrent client that uses the Qt widget-set. QTorrent allows you to have several torrents open at the same time from within the same program window, offering you easy overview, access and management through a list-mode.

Every torrent also has its own page where you can control things like upload speed and upload slots. A page that shows some statistics of all open torrents is also available.

To use QTorrent, just download the tarball, extract it somewhere and run the qtorrent binary. Installing QTorrent is not necessary.

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.

MySQL PHP to PostgreSQL is an application that takes a php page that uses mysql calls and changes them into PostgreSQL calls.
This allows any website (if it converts properly) that was written in PHP for MySQL to run as a website written to run on PostgreSQL.
- Step 1: Download and uncompress
To uncompress simply type: tar xvzf mysqlphp2postgres.tar.gz
If youre on a non-GNU system you might have to type: gzip -dc mysqlphp2postgres.tar.gz | tar xvf -
- Step 2: Compile
To compile simply type: make
If youre on a non-GNU system youll have to edit the make file to change the compiler to cc instead of gcc
- Step 3: Install
Type: make install
This will simply copy the binary file to /usr/local/bin/
- Step 4: Convert
Type: mysqlphp2postgres inputfile.php outputfile.php
The input file is the php page that uses mysql. The outfile is the page you want to create. You will probably need to tell mysqlphp2postgres the name of the postgreSQL database since mysql_select_db doesnt translate. You can do this by using a -d switch. So if, for example, the database youre connecting to is called blah, you could type: mysqlphp2postgres -d blah inputfile.php outputfile.php
Problems:
I have had the following problems from using this program:
MySQL has a lot more functions in PHP than PostgreSQL that do more things. I havent had a problem with any unsupported functions in my programs, but someone probably will. If you want to help write code for this to support those functions (if thats even possible) feel free to help.
Enhancements:
- Fixed some stuff.
- Cleaned up some code.
- This program now produces code optomized for PHP 4.1.0 and above.

Remote MySQL Query is a PHP class that can easily execute queries on a remote MySQL server using only HTTP.

It works by accessing a PHP script on the remote web server that executes queries based on passed in URL parameters.

The client passes a secret key to the remote script to prevent unauthorized access.

The remote script passes back the results to the requesting client using XML to marshal the data.

The class parses the results XML data returned by the server script and returns an array.

It, also, retrieves (into class variables) the number of records returned by the query and the time the query took to execute.

The server script may be used to execute MySQL queries that can be retrieved by programs written in other languages besides PHP.