shess 8a235d4d3b Convert fts2 to store data in a way which allows for much faster
updates.  Groups of documents form segments which are encoded in a
btree layered over a table of blocks, with various tricks to make
merges fast.  This performs 20x-25x faster than fts1 when loading the
Enron corpus, and is only slightly slower for queries. (CVS 3474)

FossilOrigin-Name: 85272b2f5394e37916afb1d509e7296810d976f5
2006-10-12 23:15:24 +00:00
2004-02-26 19:47:42 +00:00
2004-02-26 19:47:42 +00:00
2004-02-26 19:47:42 +00:00

This directory contains source code to 

    SQLite: An Embeddable SQL Database Engine

To compile the project, first create a directory in which to place
the build products.  It is recommended, but not required, that the
build directory be separate from the source directory.  Cd into the
build directory and then from the build directory run the configure
script found at the root of the source tree.  Then run "make".

For example:

    tar xzf sqlite.tar.gz    ;#  Unpack the source tree into "sqlite"
    mkdir bld                ;#  Build will occur in a sibling directory
    cd bld                   ;#  Change to the build directory
    ../sqlite/configure      ;#  Run the configure script
    make                     ;#  Run the makefile.
    make install             ;#  (Optional) Install the build products

The configure script uses autoconf 2.50 and libtool.  If the configure
script does not work out for you, there is a generic makefile named
"Makefile.linux-gcc" in the top directory of the source tree that you
can copy and edit to suite your needs.  Comments on the generic makefile
show what changes are needed.

The linux binaries on the website are created using the generic makefile,
not the configure script.  The configure script is unmaintained.  (You
can volunteer to take over maintenance of the configure script, if you want!)
The windows binaries on the website are created using MinGW32 configured
as a cross-compiler running under Linux.  For details, see the ./publish.sh
script at the top-level of the source tree.

Contacts:

   http://www.sqlite.org/
S
Description
Official Git mirror of the SQLite source tree
Readme 542 MiB
Languages
C 80.8%
Tcl 7.6%
JavaScript 5.8%
Java 2.6%
Makefile 1.1%
Other 2%