readme.tablefunc
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TABLEFUNC
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/* * tablefunc * * Sample to demonstrate C functions which return setof scalar * and setof composite. * Joe Conway <mail@joeconway.com> * And contributors: * Nabil Sayegh <postgresql@e-trolley.de> * * Copyright (c) 2002-2006, PostgreSQL Global Development Group * * Permission to use, copy, modify, and distribute this software and its * documentation for any purpose, without fee, and without a written agreement * is hereby granted, provided that the above copyright notice and this * paragraph and the following two paragraphs appear in all copies. * * IN NO EVENT SHALL THE AUTHORS OR DISTRIBUTORS BE LIABLE TO ANY PARTY FOR * DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING * LOST PROFITS, ARISING OUT OF THE USE OF THIS SOFTWARE AND ITS * DOCUMENTATION, EVEN IF THE AUTHOR OR DISTRIBUTORS HAVE BEEN ADVISED OF THE * POSSIBILITY OF SUCH DAMAGE. * * THE AUTHORS AND DISTRIBUTORS SPECIFICALLY DISCLAIM ANY WARRANTIES, * INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY * AND FITNESS FOR A PARTICULAR PURPOSE. THE SOFTWARE PROVIDED HEREUNDER IS * ON AN "AS IS" BASIS, AND THE AUTHOR AND DISTRIBUTORS HAS NO OBLIGATIONS TO * PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS. * */Version 0.1 (20 July, 2002): First releaseRelease Notes: Version 0.1 - initial release Installation: Place these files in a directory called 'tablefunc' under 'contrib' in the PostgreSQL source tree. Then run: make make install You can use tablefunc.sql to create the functions in your database of choice, e.g. psql -U postgres template1 < tablefunc.sql installs following functions into database template1: normal_rand(int numvals, float8 mean, float8 stddev) - returns a set of normally distributed float8 values crosstabN(text sql) - returns a set of row_name plus N category value columns - crosstab2(), crosstab3(), and crosstab4() are defined for you, but you can create additional crosstab functions per the instructions in the documentation below. crosstab(text sql) - returns a set of row_name plus N category value columns - requires anonymous composite type syntax in the FROM clause. See the instructions in the documentation below. crosstab(text sql, N int) - obsolete version of crosstab() - the argument N is now ignored, since the number of value columns is always determined by the calling query connectby(text relname, text keyid_fld, text parent_keyid_fld [, text orderby_fld], text start_with, int max_depth [, text branch_delim]) - returns keyid, parent_keyid, level, and an optional branch string and an optional serial column for ordering siblings - requires anonymous composite type syntax in the FROM clause. See the instructions in the documentation below.Documentation==================================================================Namenormal_rand(int, float8, float8) - returns a set of normally distributed float8 valuesSynopsisnormal_rand(int numvals, float8 mean, float8 stddev)Inputs numvals the number of random values to be returned from the function mean the mean of the normal distribution of values stddev the standard deviation of the normal distribution of valuesOutputs Returns setof float8, where the returned set of random values are normally distributed (Gaussian distribution)Example usage test=# SELECT * FROM test=# normal_rand(1000, 5, 3); normal_rand---------------------- 1.56556322244898 9.10040991424657 5.36957140345079 -0.369151492880995 0.283600703686639 . . . 4.82992125404908 9.71308014517282 2.49639286969028(1000 rows) Returns 1000 values with a mean of 5 and a standard deviation of 3.==================================================================NamecrosstabN(text) - returns a set of row_name plus N category value columnsSynopsiscrosstabN(text sql)Inputs sql A SQL statement which produces the source set of data. The SQL statement must return one row_name column, one category column, and one value column. row_name and value must be of type text. e.g. provided sql must produce a set something like: row_name cat value ----------+-------+------- row1 cat1 val1 row1 cat2 val2 row1 cat3 val3 row1 cat4 val4 row2 cat1 val5 row2 cat2 val6 row2 cat3 val7 row2 cat4 val8Outputs Returns setof tablefunc_crosstab_N, which is defined by: CREATE TYPE tablefunc_crosstab_N AS ( row_name TEXT, category_1 TEXT, category_2 TEXT, . . . category_N TEXT ); for the default installed functions, where N is 2, 3, or 4. e.g. the provided crosstab2 function produces a set something like: <== values columns ==> row_name category_1 category_2 ---------+------------+------------ row1 val1 val2 row2 val5 val6Notes 1. The sql result must be ordered by 1,2. 2. The number of values columns depends on the tuple description of the function's declared return type. 3. Missing values (i.e. not enough adjacent rows of same row_name to fill the number of result values columns) are filled in with nulls. 4. Extra values (i.e. too many adjacent rows of same row_name to fill the number of result values columns) are skipped. 5. Rows with all nulls in the values columns are skipped. 6. The installed defaults are for illustration purposes. You can create your own return types and functions based on the crosstab() function of the installed library. See below for details.Example usagecreate table ct(id serial, rowclass text, rowid text, attribute text, value text);insert into ct(rowclass, rowid, attribute, value) values('group1','test1','att1','val1');insert into ct(rowclass, rowid, attribute, value) values('group1','test1','att2','val2');insert into ct(rowclass, rowid, attribute, value) values('group1','test1','att3','val3');insert into ct(rowclass, rowid, attribute, value) values('group1','test1','att4','val4');insert into ct(rowclass, rowid, attribute, value) values('group1','test2','att1','val5');insert into ct(rowclass, rowid, attribute, value) values('group1','test2','att2','val6');insert into ct(rowclass, rowid, attribute, value) values('group1','test2','att3','val7');insert into ct(rowclass, rowid, attribute, value) values('group1','test2','att4','val8');select * from crosstab3( 'select rowid, attribute, value from ct where rowclass = ''group1'' and (attribute = ''att2'' or attribute = ''att3'') order by 1,2;'); row_name | category_1 | category_2 | category_3----------+------------+------------+------------ test1 | val2 | val3 | test2 | val6 | val7 |(2 rows)==================================================================Namecrosstab(text) - returns a set of row_names plus category value columnsSynopsiscrosstab(text sql)crosstab(text sql, int N)Inputs sql A SQL statement which produces the source set of data. The SQL statement must return one row_name column, one category column, and one value column. e.g. provided sql must produce a set something like: row_name cat value ----------+-------+------- row1 cat1 val1 row1 cat2 val2 row1 cat3 val3 row1 cat4 val4 row2 cat1 val5 row2 cat2 val6 row2 cat3 val7 row2 cat4 val8 N Obsolete argument; ignored if supplied (formerly this had to match the number of category columns determined by the calling query)Outputs Returns setof record, which must be defined with a column definition in the FROM clause of the SELECT statement, e.g.: SELECT * FROM crosstab(sql) AS ct(row_name text, category_1 text, category_2 text); the example crosstab function produces a set something like: <== values columns ==> row_name category_1 category_2 ---------+------------+------------ row1 val1 val2 row2 val5 val6Notes 1. The sql result must be ordered by 1,2. 2. The number of values columns is determined by the column definition provided in the FROM clause. The FROM clause must define one row_name column (of the same datatype as the first result column of the sql query) followed by N category columns (of the same datatype as the third result column of the sql query). You can set up as many category columns as you wish. 3. Missing values (i.e. not enough adjacent rows of same row_name to fill the number of result values columns) are filled in with nulls. 4. Extra values (i.e. too many adjacent rows of same row_name to fill the number of result values columns) are skipped. 5. Rows with all nulls in the values columns are skipped. 6. You can avoid always having to write out a FROM clause that defines the output columns by setting up a custom crosstab function that has the desired output row type wired into its definition. There are two ways you can set up a custom crosstab function: A. Create a composite type to define your return type, similar to the examples in the installation script. Then define a unique function name accepting one text parameter and returning setof your_type_name. For example, if your source data produces row_names that are TEXT, and values that are FLOAT8, and you want 5 category columns: CREATE TYPE my_crosstab_float8_5_cols AS ( row_name TEXT, category_1 FLOAT8, category_2 FLOAT8, category_3 FLOAT8, category_4 FLOAT8, category_5 FLOAT8 ); CREATE OR REPLACE FUNCTION crosstab_float8_5_cols(text) RETURNS setof my_crosstab_float8_5_cols AS '$libdir/tablefunc','crosstab' LANGUAGE C STABLE STRICT; B. Use OUT parameters to define the return type implicitly. The same example could also be done this way:
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