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Kirill Smelkov
mariadb
Commits
9edef9af
Commit
9edef9af
authored
Aug 29, 2000
by
jcole@ham.spaceapes.com
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Fixed up serg's ft manual.
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438e8c7c
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BitKeeper/etc/logging_ok
View file @
9edef9af
...
@@ -15,3 +15,4 @@ tim@work.mysql.com
...
@@ -15,3 +15,4 @@ tim@work.mysql.com
tonu@work.mysql.com
tonu@work.mysql.com
monty@donna.mysql.com
monty@donna.mysql.com
jcole@tetra.spaceapes.com
jcole@tetra.spaceapes.com
jcole@ham.spaceapes.com
Docs/manual.texi
View file @
9edef9af
...
@@ -2893,15 +2893,16 @@ distributions.
...
@@ -2893,15 +2893,16 @@ distributions.
@end enumerate
@end enumerate
One goal with this is that the SQL client library should be free enough
One goal is that the SQL client library should be free enough that it is
so that it is possible to add @strong{MySQL} support in commercial products
possible to add @strong{MySQL} support into commercial products
without any license. So in this case we choose the LGPL license.
without a license. For this reason, we chose the LGPL license for the
client code.
This means that you can use @strong{MySQL} for free with any program that uses
This means that you can use @strong{MySQL} for free with any program that uses
any of the free software licen
c
es. @strong{MySQL} is also free for any end
any of the free software licen
s
es. @strong{MySQL} is also free for any end
user for his own or company usage.
user for his own or company usage.
But
if you use @strong{MySQL} for something important to you, you may
However,
if you use @strong{MySQL} for something important to you, you may
want to help secure its development by purchasing licenses or a support
want to help secure its development by purchasing licenses or a support
contract, @ref{Support}.
contract, @ref{Support}.
...
@@ -2909,7 +2910,7 @@ contract, @ref{Support}.
...
@@ -2909,7 +2910,7 @@ contract, @ref{Support}.
@subsection Copyright changes
@subsection Copyright changes
The stable versions of @strong{MySQL} are still using a more strict
The stable versions of @strong{MySQL} are still using a more strict
license. See the docum
a
tation for that version for more information.
license. See the docum
en
tation for that version for more information.
@node Licensing examples, Cost, Copyright, Licensing and Support
@node Licensing examples, Cost, Copyright, Licensing and Support
@section Example licensing situations
@section Example licensing situations
...
@@ -2922,7 +2923,7 @@ license. See the documatation for that version for more information.
...
@@ -2922,7 +2923,7 @@ license. See the documatation for that version for more information.
This section describes some situations illustrating whether or not you
This section describes some situations illustrating whether or not you
must license the @strong{MySQL} server. Generally these examples
must license the @strong{MySQL} server. Generally these examples
involve providing @strong{MySQL} as a integrated part of a product.
involve providing @strong{MySQL} as a
n
integrated part of a product.
Note that a single @strong{MySQL} license covers any number of CPUs and
Note that a single @strong{MySQL} license covers any number of CPUs and
@code{mysqld} servers on a machine! There is no artificial limit on the number
@code{mysqld} servers on a machine! There is no artificial limit on the number
...
@@ -2947,7 +2948,7 @@ designed your application around @strong{MySQL}, then you've really made
...
@@ -2947,7 +2948,7 @@ designed your application around @strong{MySQL}, then you've really made
a commercial product that requires the engine, so you need a license.
a commercial product that requires the engine, so you need a license.
If your application does not require @strong{MySQL}, you need not obtain
If your application does not require @strong{MySQL}, you need not obtain
a license. For example, if
@strong{MySQL} just added
some new optional
a license. For example, if
using @strong{MySQL} just adds
some new optional
features to your product (such as adding logging to a database if
features to your product (such as adding logging to a database if
@strong{MySQL} is used rather than logging to a text file), it should
@strong{MySQL} is used rather than logging to a text file), it should
fall within normal use, and a license would not be required.
fall within normal use, and a license would not be required.
...
@@ -13436,8 +13437,8 @@ For @code{BLOB} and @code{TEXT} columns, you must index a prefix of the
...
@@ -13436,8 +13437,8 @@ For @code{BLOB} and @code{TEXT} columns, you must index a prefix of the
column, you cannot index the entire thing.
column, you cannot index the entire thing.
In @strong{MySQL} 3.23.23 or later, you can also create special
In @strong{MySQL} 3.23.23 or later, you can also create special
@strong{
fulltext} indexes. They are used for full-text search. Only
@strong{
FULLTEXT} indexes. They are used for full-text search. Only the
@code{MyISAM} table type supports
fulltext
indexes. They can be created
@code{MyISAM} table type supports
@code{FULLTEXT}
indexes. They can be created
only from @code{VARCHAR}, @code{BLOB}, and @code{TEXT} columns.
only from @code{VARCHAR}, @code{BLOB}, and @code{TEXT} columns.
Indexing always happens over the entire column, partial indexing is not
Indexing always happens over the entire column, partial indexing is not
supported. See @ref{MySQL full-text search} for details of operation.
supported. See @ref{MySQL full-text search} for details of operation.
...
@@ -14164,7 +14165,7 @@ mysql> select STRCMP('text', 'text');
...
@@ -14164,7 +14165,7 @@ mysql> select STRCMP('text', 'text');
relevance - similarity measure between the text in columns
relevance - similarity measure between the text in columns
@code{(col1,col2,...)} and the query @code{expr}. Relevance is a
@code{(col1,col2,...)} and the query @code{expr}. Relevance is a
positive floating point number. Zero relevance means no similarity.
positive floating point number. Zero relevance means no similarity.
For @code{MATCH ... AGAINST()} to work, a @strong{
fulltext index}
For @code{MATCH ... AGAINST()} to work, a @strong{
FULLTEXT} index
must be created first. @xref{CREATE TABLE, , @code{CREATE TABLE}}.
must be created first. @xref{CREATE TABLE, , @code{CREATE TABLE}}.
@code{MATCH ... AGAINST()} is available in @code{MySQL} 3.23.23 or later.
@code{MATCH ... AGAINST()} is available in @code{MySQL} 3.23.23 or later.
For details and usage examples see @xref{MySQL full-text search}.
For details and usage examples see @xref{MySQL full-text search}.
...
@@ -16422,8 +16423,8 @@ When you use @code{ORDER BY} or @code{GROUP BY} with a @code{TEXT} or
...
@@ -16422,8 +16423,8 @@ When you use @code{ORDER BY} or @code{GROUP BY} with a @code{TEXT} or
@item
@item
In @strong{MySQL} 3.23.23 or later, you can also create special
In @strong{MySQL} 3.23.23 or later, you can also create special
@strong{
fulltext} indexes. They are used for full-text search. Only
@strong{
FULLTEXT} indexes. They are used for full-text search. Only the
@code{MyISAM} table type supports
fulltext
indexes. They can be created
@code{MyISAM} table type supports
@code{FULLTEXT}
indexes. They can be created
only from @code{VARCHAR}, @code{BLOB}, and @code{TEXT} columns.
only from @code{VARCHAR}, @code{BLOB}, and @code{TEXT} columns.
Indexing always happens over the entire column, partial indexing is not
Indexing always happens over the entire column, partial indexing is not
supported. See @ref{MySQL full-text search} for details of operation.
supported. See @ref{MySQL full-text search} for details of operation.
...
@@ -19810,9 +19811,10 @@ table type.
...
@@ -19810,9 +19811,10 @@ table type.
For more information about how @strong{MySQL} uses indexes, see
For more information about how @strong{MySQL} uses indexes, see
@ref{MySQL indexes, , @strong{MySQL} indexes}.
@ref{MySQL indexes, , @strong{MySQL} indexes}.
Fulltext indexes can index only @code{VARCHAR}, @code{BLOB}, and
@code{FULLTEXT} indexes can index only @code{VARCHAR}, @code{BLOB}, and
@code{TEXT} columns, and only in @code{MyISAM} tables. Fulltext indexes
@code{TEXT} columns, and only in @code{MyISAM} tables. @code{FULLTEXT} indexes
are available from @strong{MySQL} 3.23.23. @ref{MySQL full-text search}.
are available in @strong{MySQL} 3.23.23 and later.
@ref{MySQL full-text search}.
@findex DROP INDEX
@findex DROP INDEX
@node DROP INDEX, Comments, CREATE INDEX, Reference
@node DROP INDEX, Comments, CREATE INDEX, Reference
...
@@ -34089,14 +34091,16 @@ DELAYED} threads.
...
@@ -34089,14 +34091,16 @@ DELAYED} threads.
Since version 3.23.23, @strong{MySQL} has support for full-text indexing
Since version 3.23.23, @strong{MySQL} has support for full-text indexing
and searching. Full-text index in @strong{MySQL} is an
and searching. Full-text index in @strong{MySQL} is an
index of type @code{FULLTEXT}.
Fulltext
indexes can be created from
index of type @code{FULLTEXT}.
@code{FULLTEXT}
indexes can be created from
@code{VARCHAR}, @code{TEXT}, and @code{BLOB} columns at
@code{VARCHAR}, @code{TEXT}, and @code{BLOB} columns at
@code{CREATE TABLE} time or added later with @code{ALTER TABLE} or
@code{CREATE TABLE} time or added later with @code{ALTER TABLE} or
@code{CREATE INDEX}. Full-text search is performed with @code{MATCH} function.
@code{CREATE INDEX}. Full-text search is performed with the @code{MATCH}
function.
@example
@example
mysql> CREATE TABLE t (a VARCHAR(200), b TEXT, FULLTEXT (a,b));
mysql> CREATE TABLE t (a VARCHAR(200), b TEXT, FULLTEXT (a,b));
Query OK, 0 rows affected (0.00 sec)
Query OK, 0 rows affected (0.00 sec)
mysql> INSERT INTO t VALUES
mysql> INSERT INTO t VALUES
-> ('MySQL has now support', 'for full-text search'),
-> ('MySQL has now support', 'for full-text search'),
-> ('Full-text indexes', 'are called collections'),
-> ('Full-text indexes', 'are called collections'),
...
@@ -34105,6 +34109,7 @@ mysql> INSERT INTO t VALUES
...
@@ -34105,6 +34109,7 @@ mysql> INSERT INTO t VALUES
-> ('Full-text search in MySQL', 'implements vector space model');
-> ('Full-text search in MySQL', 'implements vector space model');
Query OK, 5 rows affected (0.00 sec)
Query OK, 5 rows affected (0.00 sec)
Records: 5 Duplicates: 0 Warnings: 0
Records: 5 Duplicates: 0 Warnings: 0
mysql> SELECT * FROM t WHERE MATCH (a,b) AGAINST ('MySQL');
mysql> SELECT * FROM t WHERE MATCH (a,b) AGAINST ('MySQL');
+---------------------------+-------------------------------+
+---------------------------+-------------------------------+
| a | b |
| a | b |
...
@@ -34113,6 +34118,7 @@ mysql> SELECT * FROM t WHERE MATCH (a,b) AGAINST ('MySQL');
...
@@ -34113,6 +34118,7 @@ mysql> SELECT * FROM t WHERE MATCH (a,b) AGAINST ('MySQL');
| Full-text search in MySQL | implements vector-space-model |
| Full-text search in MySQL | implements vector-space-model |
+---------------------------+-------------------------------+
+---------------------------+-------------------------------+
2 rows in set (0.00 sec)
2 rows in set (0.00 sec)
mysql> SELECT *,MATCH a,b AGAINST ('collections support') as x FROM t;
mysql> SELECT *,MATCH a,b AGAINST ('collections support') as x FROM t;
+------------------------------+-------------------------------+--------+
+------------------------------+-------------------------------+--------+
| a | b | x |
| a | b | x |
...
@@ -34126,11 +34132,11 @@ mysql> SELECT *,MATCH a,b AGAINST ('collections support') as x FROM t;
...
@@ -34126,11 +34132,11 @@ mysql> SELECT *,MATCH a,b AGAINST ('collections support') as x FROM t;
5 rows in set (0.00 sec)
5 rows in set (0.00 sec)
@end example
@end example
F
unction @code{MATCH} matches a natural language query @code{AGAINST} a
The f
unction @code{MATCH} matches a natural language query @code{AGAINST} a
text collection (which is simply the columns that are covered
text collection (which is simply the columns that are covered
by
fulltext index). For every row in a table it returns relevance -
by
a @strong{FULLTEXT} index). For every row in a table it returns
similarity measure between the text in that row (in the columns, that
relevance - similarity measure between the text in that row (in the columns
are part of the collection) and the query. When it
used in a
that are part of the collection) and the query. When it is
used in a
@code{WHERE} clause (see example above) the rows returned are
@code{WHERE} clause (see example above) the rows returned are
automatically sorted with relevance decreasing. Relevance is a non-
automatically sorted with relevance decreasing. Relevance is a non-
negative floating point number. Zero relevance means no similarity.
negative floating point number. Zero relevance means no similarity.
...
@@ -34138,13 +34144,13 @@ Relevance is computed based on number of words in the row and number of
...
@@ -34138,13 +34144,13 @@ Relevance is computed based on number of words in the row and number of
unique words in that row, total number of words in the collection,
unique words in that row, total number of words in the collection,
number of documents (rows), that contain a particular word, etc.
number of documents (rows), that contain a particular word, etc.
MySQL uses
very simple parser to split text into words. "W
ord" is
MySQL uses
a very simple parser to split text into words. A "w
ord" is
any sequence of letters, numbers, @code{'}, and @code{_}. Any "word"
any sequence of letters, numbers, @code{'}, and @code{_}. Any "word"
that is present in
stopword list or just too short (3 characters or less)
that is present in
the stopword list or just too short (3 characters
is ignored.
or less)
is ignored.
Every correct word in the collection and in the query is weighted,
Every correct word in the collection and in the query is weighted,
according to
their
significance in the query or collection. This way, a
according to
its
significance in the query or collection. This way, a
word that is present in many documents will have lower weight (and may
word that is present in many documents will have lower weight (and may
even have a zero weight), because it has lower semantic value in this
even have a zero weight), because it has lower semantic value in this
particular collection. Otherwise, if the word is rare, it will receive a
particular collection. Otherwise, if the word is rare, it will receive a
...
@@ -34152,7 +34158,7 @@ higher weight. Weights of the words are then combined to compute the
...
@@ -34152,7 +34158,7 @@ higher weight. Weights of the words are then combined to compute the
relevance.
relevance.
Such a technique works best with big collections (in fact, it was
Such a technique works best with big collections (in fact, it was
carefully tuned up this way). For very small tables word distribution
carefully tuned up this way). For very small tables
,
word distribution
does not reflect adequately their semantical value, and this model
does not reflect adequately their semantical value, and this model
may sometimes produce bizarre results.
may sometimes produce bizarre results.
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