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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-16 19:46:48 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-16 19:46:48 +0000
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /><title>46.2. Data Values</title><link rel="stylesheet" type="text/css" href="stylesheet.css" /><link rev="made" href="pgsql-docs@lists.postgresql.org" /><meta name="generator" content="DocBook XSL Stylesheets Vsnapshot" /><link rel="prev" href="plpython-funcs.html" title="46.1. PL/Python Functions" /><link rel="next" href="plpython-sharing.html" title="46.3. Sharing Data" /></head><body id="docContent" class="container-fluid col-10"><div class="navheader"><table width="100%" summary="Navigation header"><tr><th colspan="5" align="center">46.2. Data Values</th></tr><tr><td width="10%" align="left"><a accesskey="p" href="plpython-funcs.html" title="46.1. PL/Python Functions">Prev</a> </td><td width="10%" align="left"><a accesskey="u" href="plpython.html" title="Chapter 46. PL/Python — Python Procedural Language">Up</a></td><th width="60%" align="center">Chapter 46. PL/Python — Python Procedural Language</th><td width="10%" align="right"><a accesskey="h" href="index.html" title="PostgreSQL 15.4 Documentation">Home</a></td><td width="10%" align="right"> <a accesskey="n" href="plpython-sharing.html" title="46.3. Sharing Data">Next</a></td></tr></table><hr /></div><div class="sect1" id="PLPYTHON-DATA"><div class="titlepage"><div><div><h2 class="title" style="clear: both">46.2. Data Values</h2></div></div></div><div class="toc"><dl class="toc"><dt><span class="sect2"><a href="plpython-data.html#id-1.8.11.10.3">46.2.1. Data Type Mapping</a></span></dt><dt><span class="sect2"><a href="plpython-data.html#id-1.8.11.10.4">46.2.2. Null, None</a></span></dt><dt><span class="sect2"><a href="plpython-data.html#PLPYTHON-ARRAYS">46.2.3. Arrays, Lists</a></span></dt><dt><span class="sect2"><a href="plpython-data.html#id-1.8.11.10.6">46.2.4. Composite Types</a></span></dt><dt><span class="sect2"><a href="plpython-data.html#id-1.8.11.10.7">46.2.5. Set-Returning Functions</a></span></dt></dl></div><p>
+ Generally speaking, the aim of PL/Python is to provide
+ a <span class="quote">“<span class="quote">natural</span>”</span> mapping between the PostgreSQL and the
+ Python worlds. This informs the data mapping rules described
+ below.
+ </p><div class="sect2" id="id-1.8.11.10.3"><div class="titlepage"><div><div><h3 class="title">46.2.1. Data Type Mapping</h3></div></div></div><p>
+ When a PL/Python function is called, its arguments are converted from
+ their PostgreSQL data type to a corresponding Python type:
+
+ </p><div class="itemizedlist"><ul class="itemizedlist" style="list-style-type: disc; "><li class="listitem"><p>
+ PostgreSQL <code class="type">boolean</code> is converted to Python <code class="type">bool</code>.
+ </p></li><li class="listitem"><p>
+ PostgreSQL <code class="type">smallint</code>, <code class="type">int</code>, <code class="type">bigint</code>
+ and <code class="type">oid</code> are converted to Python <code class="type">int</code>.
+ </p></li><li class="listitem"><p>
+ PostgreSQL <code class="type">real</code> and <code class="type">double</code> are converted to
+ Python <code class="type">float</code>.
+ </p></li><li class="listitem"><p>
+ PostgreSQL <code class="type">numeric</code> is converted to
+ Python <code class="type">Decimal</code>. This type is imported from
+ the <code class="literal">cdecimal</code> package if that is available.
+ Otherwise,
+ <code class="literal">decimal.Decimal</code> from the standard library will be
+ used. <code class="literal">cdecimal</code> is significantly faster
+ than <code class="literal">decimal</code>. In Python 3.3 and up,
+ however, <code class="literal">cdecimal</code> has been integrated into the
+ standard library under the name <code class="literal">decimal</code>, so there is
+ no longer any difference.
+ </p></li><li class="listitem"><p>
+ PostgreSQL <code class="type">bytea</code> is converted to Python <code class="type">bytes</code>.
+ </p></li><li class="listitem"><p>
+ All other data types, including the PostgreSQL character string types,
+ are converted to a Python <code class="type">str</code> (in Unicode like all Python
+ strings).
+ </p></li><li class="listitem"><p>
+ For nonscalar data types, see below.
+ </p></li></ul></div><p>
+ </p><p>
+ When a PL/Python function returns, its return value is converted to the
+ function's declared PostgreSQL return data type as follows:
+
+ </p><div class="itemizedlist"><ul class="itemizedlist" style="list-style-type: disc; "><li class="listitem"><p>
+ When the PostgreSQL return type is <code class="type">boolean</code>, the
+ return value will be evaluated for truth according to the
+ <span class="emphasis"><em>Python</em></span> rules. That is, 0 and empty string
+ are false, but notably <code class="literal">'f'</code> is true.
+ </p></li><li class="listitem"><p>
+ When the PostgreSQL return type is <code class="type">bytea</code>, the return value
+ will be converted to Python <code class="type">bytes</code> using the respective
+ Python built-ins, with the result being converted to
+ <code class="type">bytea</code>.
+ </p></li><li class="listitem"><p>
+ For all other PostgreSQL return types, the return value is converted
+ to a string using the Python built-in <code class="literal">str</code>, and the
+ result is passed to the input function of the PostgreSQL data type.
+ (If the Python value is a <code class="type">float</code>, it is converted using
+ the <code class="literal">repr</code> built-in instead of <code class="literal">str</code>, to
+ avoid loss of precision.)
+ </p><p>
+ Strings are automatically converted to the PostgreSQL server encoding
+ when they are passed to PostgreSQL.
+ </p></li><li class="listitem"><p>
+ For nonscalar data types, see below.
+ </p></li></ul></div><p>
+
+ Note that logical mismatches between the declared PostgreSQL
+ return type and the Python data type of the actual return object
+ are not flagged; the value will be converted in any case.
+ </p></div><div class="sect2" id="id-1.8.11.10.4"><div class="titlepage"><div><div><h3 class="title">46.2.2. Null, None</h3></div></div></div><p>
+ If an SQL null value<a id="id-1.8.11.10.4.2.1" class="indexterm"></a> is passed to a
+ function, the argument value will appear as <code class="symbol">None</code> in
+ Python. For example, the function definition of <code class="function">pymax</code>
+ shown in <a class="xref" href="plpython-funcs.html" title="46.1. PL/Python Functions">Section 46.1</a> will return the wrong answer for null
+ inputs. We could add <code class="literal">STRICT</code> to the function definition
+ to make <span class="productname">PostgreSQL</span> do something more reasonable:
+ if a null value is passed, the function will not be called at all,
+ but will just return a null result automatically. Alternatively,
+ we could check for null inputs in the function body:
+
+</p><pre class="programlisting">
+CREATE FUNCTION pymax (a integer, b integer)
+ RETURNS integer
+AS $$
+ if (a is None) or (b is None):
+ return None
+ if a &gt; b:
+ return a
+ return b
+$$ LANGUAGE plpython3u;
+</pre><p>
+
+ As shown above, to return an SQL null value from a PL/Python
+ function, return the value <code class="symbol">None</code>. This can be done whether the
+ function is strict or not.
+ </p></div><div class="sect2" id="PLPYTHON-ARRAYS"><div class="titlepage"><div><div><h3 class="title">46.2.3. Arrays, Lists</h3></div></div></div><p>
+ SQL array values are passed into PL/Python as a Python list. To
+ return an SQL array value out of a PL/Python function, return a
+ Python list:
+
+</p><pre class="programlisting">
+CREATE FUNCTION return_arr()
+ RETURNS int[]
+AS $$
+return [1, 2, 3, 4, 5]
+$$ LANGUAGE plpython3u;
+
+SELECT return_arr();
+ return_arr
+-------------
+ {1,2,3,4,5}
+(1 row)
+</pre><p>
+
+ Multidimensional arrays are passed into PL/Python as nested Python lists.
+ A 2-dimensional array is a list of lists, for example. When returning
+ a multi-dimensional SQL array out of a PL/Python function, the inner
+ lists at each level must all be of the same size. For example:
+
+</p><pre class="programlisting">
+CREATE FUNCTION test_type_conversion_array_int4(x int4[]) RETURNS int4[] AS $$
+plpy.info(x, type(x))
+return x
+$$ LANGUAGE plpython3u;
+
+SELECT * FROM test_type_conversion_array_int4(ARRAY[[1,2,3],[4,5,6]]);
+INFO: ([[1, 2, 3], [4, 5, 6]], &lt;type 'list'&gt;)
+ test_type_conversion_array_int4
+---------------------------------
+ {{1,2,3},{4,5,6}}
+(1 row)
+</pre><p>
+
+ Other Python sequences, like tuples, are also accepted for
+ backwards-compatibility with PostgreSQL versions 9.6 and below, when
+ multi-dimensional arrays were not supported. However, they are always
+ treated as one-dimensional arrays, because they are ambiguous with
+ composite types. For the same reason, when a composite type is used in a
+ multi-dimensional array, it must be represented by a tuple, rather than a
+ list.
+ </p><p>
+ Note that in Python, strings are sequences, which can have
+ undesirable effects that might be familiar to Python programmers:
+
+</p><pre class="programlisting">
+CREATE FUNCTION return_str_arr()
+ RETURNS varchar[]
+AS $$
+return "hello"
+$$ LANGUAGE plpython3u;
+
+SELECT return_str_arr();
+ return_str_arr
+----------------
+ {h,e,l,l,o}
+(1 row)
+</pre><p>
+ </p></div><div class="sect2" id="id-1.8.11.10.6"><div class="titlepage"><div><div><h3 class="title">46.2.4. Composite Types</h3></div></div></div><p>
+ Composite-type arguments are passed to the function as Python mappings. The
+ element names of the mapping are the attribute names of the composite type.
+ If an attribute in the passed row has the null value, it has the value
+ <code class="symbol">None</code> in the mapping. Here is an example:
+
+</p><pre class="programlisting">
+CREATE TABLE employee (
+ name text,
+ salary integer,
+ age integer
+);
+
+CREATE FUNCTION overpaid (e employee)
+ RETURNS boolean
+AS $$
+ if e["salary"] &gt; 200000:
+ return True
+ if (e["age"] &lt; 30) and (e["salary"] &gt; 100000):
+ return True
+ return False
+$$ LANGUAGE plpython3u;
+</pre><p>
+ </p><p>
+ There are multiple ways to return row or composite types from a Python
+ function. The following examples assume we have:
+
+</p><pre class="programlisting">
+CREATE TYPE named_value AS (
+ name text,
+ value integer
+);
+</pre><p>
+
+ A composite result can be returned as a:
+
+ </p><div class="variablelist"><dl class="variablelist"><dt><span class="term">Sequence type (a tuple or list, but not a set because
+ it is not indexable)</span></dt><dd><p>
+ Returned sequence objects must have the same number of items as the
+ composite result type has fields. The item with index 0 is assigned to
+ the first field of the composite type, 1 to the second and so on. For
+ example:
+
+</p><pre class="programlisting">
+CREATE FUNCTION make_pair (name text, value integer)
+ RETURNS named_value
+AS $$
+ return ( name, value )
+ # or alternatively, as list: return [ name, value ]
+$$ LANGUAGE plpython3u;
+</pre><p>
+
+ To return an SQL null for any column, insert <code class="symbol">None</code> at
+ the corresponding position.
+ </p><p>
+ When an array of composite types is returned, it cannot be returned as a list,
+ because it is ambiguous whether the Python list represents a composite type,
+ or another array dimension.
+ </p></dd><dt><span class="term">Mapping (dictionary)</span></dt><dd><p>
+ The value for each result type column is retrieved from the mapping
+ with the column name as key. Example:
+
+</p><pre class="programlisting">
+CREATE FUNCTION make_pair (name text, value integer)
+ RETURNS named_value
+AS $$
+ return { "name": name, "value": value }
+$$ LANGUAGE plpython3u;
+</pre><p>
+
+ Any extra dictionary key/value pairs are ignored. Missing keys are
+ treated as errors.
+ To return an SQL null value for any column, insert
+ <code class="symbol">None</code> with the corresponding column name as the key.
+ </p></dd><dt><span class="term">Object (any object providing method <code class="literal">__getattr__</code>)</span></dt><dd><p>
+ This works the same as a mapping.
+ Example:
+
+</p><pre class="programlisting">
+CREATE FUNCTION make_pair (name text, value integer)
+ RETURNS named_value
+AS $$
+ class named_value:
+ def __init__ (self, n, v):
+ self.name = n
+ self.value = v
+ return named_value(name, value)
+
+ # or simply
+ class nv: pass
+ nv.name = name
+ nv.value = value
+ return nv
+$$ LANGUAGE plpython3u;
+</pre><p>
+ </p></dd></dl></div><p>
+ </p><p>
+ Functions with <code class="literal">OUT</code> parameters are also supported. For example:
+</p><pre class="programlisting">
+CREATE FUNCTION multiout_simple(OUT i integer, OUT j integer) AS $$
+return (1, 2)
+$$ LANGUAGE plpython3u;
+
+SELECT * FROM multiout_simple();
+</pre><p>
+ </p><p>
+ Output parameters of procedures are passed back the same way. For example:
+</p><pre class="programlisting">
+CREATE PROCEDURE python_triple(INOUT a integer, INOUT b integer) AS $$
+return (a * 3, b * 3)
+$$ LANGUAGE plpython3u;
+
+CALL python_triple(5, 10);
+</pre><p>
+ </p></div><div class="sect2" id="id-1.8.11.10.7"><div class="titlepage"><div><div><h3 class="title">46.2.5. Set-Returning Functions</h3></div></div></div><p>
+ A <span class="application">PL/Python</span> function can also return sets of
+ scalar or composite types. There are several ways to achieve this because
+ the returned object is internally turned into an iterator. The following
+ examples assume we have composite type:
+
+</p><pre class="programlisting">
+CREATE TYPE greeting AS (
+ how text,
+ who text
+);
+</pre><p>
+
+ A set result can be returned from a:
+
+ </p><div class="variablelist"><dl class="variablelist"><dt><span class="term">Sequence type (tuple, list, set)</span></dt><dd><p>
+</p><pre class="programlisting">
+CREATE FUNCTION greet (how text)
+ RETURNS SETOF greeting
+AS $$
+ # return tuple containing lists as composite types
+ # all other combinations work also
+ return ( [ how, "World" ], [ how, "PostgreSQL" ], [ how, "PL/Python" ] )
+$$ LANGUAGE plpython3u;
+</pre><p>
+ </p></dd><dt><span class="term">Iterator (any object providing <code class="symbol">__iter__</code> and
+ <code class="symbol">next</code> methods)</span></dt><dd><p>
+</p><pre class="programlisting">
+CREATE FUNCTION greet (how text)
+ RETURNS SETOF greeting
+AS $$
+ class producer:
+ def __init__ (self, how, who):
+ self.how = how
+ self.who = who
+ self.ndx = -1
+
+ def __iter__ (self):
+ return self
+
+ def next (self):
+ self.ndx += 1
+ if self.ndx == len(self.who):
+ raise StopIteration
+ return ( self.how, self.who[self.ndx] )
+
+ return producer(how, [ "World", "PostgreSQL", "PL/Python" ])
+$$ LANGUAGE plpython3u;
+</pre><p>
+ </p></dd><dt><span class="term">Generator (<code class="literal">yield</code>)</span></dt><dd><p>
+</p><pre class="programlisting">
+CREATE FUNCTION greet (how text)
+ RETURNS SETOF greeting
+AS $$
+ for who in [ "World", "PostgreSQL", "PL/Python" ]:
+ yield ( how, who )
+$$ LANGUAGE plpython3u;
+</pre><p>
+
+ </p></dd></dl></div><p>
+ </p><p>
+ Set-returning functions with <code class="literal">OUT</code> parameters
+ (using <code class="literal">RETURNS SETOF record</code>) are also
+ supported. For example:
+</p><pre class="programlisting">
+CREATE FUNCTION multiout_simple_setof(n integer, OUT integer, OUT integer) RETURNS SETOF record AS $$
+return [(1, 2)] * n
+$$ LANGUAGE plpython3u;
+
+SELECT * FROM multiout_simple_setof(3);
+</pre><p>
+ </p></div></div><div class="navfooter"><hr /><table width="100%" summary="Navigation footer"><tr><td width="40%" align="left"><a accesskey="p" href="plpython-funcs.html" title="46.1. PL/Python Functions">Prev</a> </td><td width="20%" align="center"><a accesskey="u" href="plpython.html" title="Chapter 46. PL/Python — Python Procedural Language">Up</a></td><td width="40%" align="right"> <a accesskey="n" href="plpython-sharing.html" title="46.3. Sharing Data">Next</a></td></tr><tr><td width="40%" align="left" valign="top">46.1. PL/Python Functions </td><td width="20%" align="center"><a accesskey="h" href="index.html" title="PostgreSQL 15.4 Documentation">Home</a></td><td width="40%" align="right" valign="top"> 46.3. Sharing Data</td></tr></table></div></body></html> \ No newline at end of file