Free retrieve data from software for linux

Apalogretrieve program retrieves data from an Apache logfile with a syntax, that is derived (a subset of) the SQL language.

The idea to make such an implementation came up at 17th of July 2007. I just started it then.

The basic idea of using an SQL-like dialect for logfile-analysis I had many years ago, but as there was no necessity, I didnt started a project like this.

The reason why I started to implement it now is, that the idea about SQL-querying of a logfile was now of interest to me, because I hated the way, how webalizer does it: you have graphical results very easy, but how to make detailed lookups to certain information? And: what about the delay until the (averaging) data can be seen in the graphs, and other problems, when changing a webalizer.conf-file?

So, this was the reason to start it.

As I not every day have the time to implement it, and only do it in a spare time window, it might need some time to make it ready, but reading Apaches common logfile-format as well as parsing simple SQL-like SELECT statements already works (19th of July 2007).

Usage Example:

SELECT host,date FROM "apache-commonlog.log" where size > 2000;
SELECT host,date,client,referrer FROM "apache-commonlog.log" where host = "foobar.host.net";

Hierarchical Data Format is a general purpose library and file format for storing scientific data.
HDF5 can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF5 file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids. You can also mix and match them in HDF5 files according to your needs.
Efficient storage and I/O.
HDF5 was created to address the data management needs of scientists and engineers working in high performance, data intensive computing environments. As a result, the HDF5 library and format emphasize storage and I/O efficiency. For instance, the HDF5 format can accommodate data in a variety of ways, such as compressed or chunked. And the library is tuned and adapted to read and write data efficiently on parallel computing systems.
Software.
NCSA maintains a suite of free, open source software, including the HDF5 I/O library and several utilities. The HDF5 user community also develops and contributes software, much of it freely available. Unlike HDF4, there is little commercial support for HDF5 at this time, but we are successfully working with vendors to change this.
Emphasis on standards.
Data can be stored in HDF5 in an endless variety of ways, so it is important for communities of users to standardize on how their data is to be organized in HDF5. This makes it possible to share data easily, and also to build and share tools for accessing and analyzing data stored in HDF5. The NCSA HDF team works with users to encourage them to organize HDF5 files in standard ways.
Large and varied user community.
HDF5 users range across a variety of engineering and scientific fields, and even some non-technical fields. Data stored in HDF5 is used for a wide range of applications, from computational fluid dynamics to film making.
Main features:
- Parallel HDF5 - Information on installing and using Parallel HDF5
- SZIP Compression - Information about SZIP Compression in HDF5
- Thread Safe HDF5 - Information on thread-safe capabilities of HDF5 and how to install
- The High Level HDF5 APIs, previously distributed separately, are now distributed as part of the main HDF5 Library:
- High Level HDF5 APIs - Information on installing and using the High Level HDF5 APIs
Applications:
- HDF Java Products - HDF4/HDF5 Java interfaces and viewer, HDFView.
- HDF Web-browser Plug-in - The HDF Web-browser plug-in is a windowed browser plug-in that is launched from a web browser to display HDF4 and HDF5 files.
- netCDF-4 - The NCSA and NetCDF groups are collaborating on a version of NetCDF built on top of HDF5.
- HDF5 XML Information Page - DTD and tools for using HDF5 with XML
- HDF5 WRF I/O Module - I/O module that reads HDF5 datasets for the Weather Research and Forecasting Model
- HDF5 Mesh API (prototype) - API for storing and retrieving structured and unstructured mesh data
Enhancements:
- The default Fortran was switched to G95 when using GCC.
- The autoconf build tools were updated. Fortran interfaces were added for the Image, Table, and Lite APIs.
- A Dimension Scale API (H5DS) was added.
- FreeBSD is now supported on AMD64 with GNU C and Fortran compilers.
- Support for sequential and parallel libraries was added for Intel 64 Linux clusters.
- Several bugs with writing fill values for datasets that have a variable-length datatype or component datatype were fixed.

Gimp::Data is a Perl module to set and get state data.

SYNOPSIS

use Gimp::Data;

$Gimp::Data{value1} = "Hello";
print $Gimp::Data{value1},", World!!n";

With this module, you can access plugin-specific (or global) data in Gimp, i.e. you can store and retrieve values that are stored in the main Gimp application.

An example would be to save parameter values in Gimp, so that on subsequent invocations of your plug-in, the user does not have to set all parameter values again (Gimp::Fu does this already).

DOG Data Organizer provides a bookmark organizer for various bookmark types.

DOG is a personal knowledge manager based on topic maps. It currently specializes in managing bookmarks.

It imports and exports Netscape, Mozilla, and KDE2 (XBEL) bookmark files, and it imports KDE1 bookmarks and Windows IE Favorites.

Google::Adwords::Data is base class for the Data modules.

This module is not supposed to be used directly. Use the child data modules.

Always wanted to manage all your collections in one product? You want a product you can customize to your needs? Your search ends here! Using Data Crow allows you to create a huge database containing all your collected items. A lot of work? No! Data Crow project retrieves information from the web for you. Including front covers, screenshots and links to the online information. Follow the easy installation of this free product and see for yourself.
Main features:
- Skinnable UI
- Internal help system (activated by the F1 key)
- Nice-looking and easy-to-use interface
- Highly customizable!
- Keeping track of who borrowed what
- Software registration
- Audio CD registration
- Music files registration
- Movie registration
- Book registration
- Reporting Tool (Html, Pdf, Text)
- Amazon.com support (http://www.amazon.com)
- Imdb support (http://www.imdb.com)
- Freedb support (http://www.freedb.org)
- Imports information from CD or your hard disk
- Extracts information from music files (OGG, FLAC, APE and MP3 files)
- Supports parsing for DivX, Xvid, ASF, MKV, OGM, RIFF, MOV, IFO, VOB and Mpeg video
- Add your own, rename, disable and order fields
- Backup and Restore of the database
- SQL query tool, for expert users
- Platform-independent
- Internal HSQL database
Whats New in 2.12 Stable Release:
- Some changes and fixes were made and the overall quality of the product was improved.
Whats New in 3.0 Alpha 2 Development Release:
- General fixes were made and missing functionality was added.

VIF Lightweight Framework is an object-relational bridge to store and retrieve data in relational database management systems (RDMS). The frameworks building blocks to access data are data object models (DOM objects) and joined data object models (joined DOM objects).

A DOM object is used for read-write access to a database table. VIF Lightweight Framework encapsulates the mapping of the objects attribute to the underlying table fields. A joined DOM object encapsulates SQL SELECT commands of any complexity. With joined DOM objects, its possible to design involved data retrieval.

Data::Stag is a Perl module with structured tags datastructures.

SYNOPSIS

# PROCEDURAL USAGE
use Data::Stag qw(:all);
$doc = stag_parse($file);
@persons = stag_find($doc, "person");
foreach $p (@persons) {
printf "%s, %s phone: %sn",
stag_sget($p, "family_name"),
stag_sget($p, "given_name"),
stag_sget($p, "phone_no"),
;
}

# OBJECT-ORIENTED USAGE
use Data::Stag;
$doc = Data::Stag->parse($file);
@persons = $doc->find("person");
foreach $p (@person) {
printf "%s, %s phone:%sn",
$p->sget("family_name"),
$p->sget("given_name"),
$p->sget("phone_no"),
;
}

This module is for manipulating data as hierarchical tag/value pairs (Structured TAGs or Simple Tree AGgreggates).