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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>46.6. Database Access</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-trigger.html" title="46.5. Trigger Functions" /><link rel="next" href="plpython-subtransaction.html" title="46.7. Explicit Subtransactions" /></head><body id="docContent" class="container-fluid col-10"><div class="navheader"><table width="100%" summary="Navigation header"><tr><th colspan="5" align="center">46.6. Database Access</th></tr><tr><td width="10%" align="left"><a accesskey="p" href="plpython-trigger.html" title="46.5. Trigger 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 15.5 Documentation">Home</a></td><td width="10%" align="right"> <a accesskey="n" href="plpython-subtransaction.html" title="46.7. Explicit Subtransactions">Next</a></td></tr></table><hr /></div><div class="sect1" id="PLPYTHON-DATABASE"><div class="titlepage"><div><div><h2 class="title" style="clear: both">46.6. Database Access</h2></div></div></div><div class="toc"><dl class="toc"><dt><span class="sect2"><a href="plpython-database.html#id-1.8.11.14.3">46.6.1. Database Access Functions</a></span></dt><dt><span class="sect2"><a href="plpython-database.html#PLPYTHON-TRAPPING">46.6.2. Trapping Errors</a></span></dt></dl></div><p>
+ The PL/Python language module automatically imports a Python module
+ called <code class="literal">plpy</code>. The functions and constants in
+ this module are available to you in the Python code as
+ <code class="literal">plpy.<em class="replaceable"><code>foo</code></em></code>.
+ </p><div class="sect2" id="id-1.8.11.14.3"><div class="titlepage"><div><div><h3 class="title">46.6.1. Database Access Functions</h3></div></div></div><p>
+ The <code class="literal">plpy</code> module provides several functions to execute
+ database commands:
+ </p><div class="variablelist"><dl class="variablelist"><dt><span class="term"><code class="literal">plpy.<code class="function">execute</code>(<em class="replaceable"><code>query</code></em> [, <em class="replaceable"><code>limit</code></em>])</code></span></dt><dd><p>
+ Calling <code class="function">plpy.execute</code> with a query string and an
+ optional row limit argument causes that query to be run and the result to
+ be returned in a result object.
+ </p><p>
+ If <em class="replaceable"><code>limit</code></em> is specified and is greater than
+ zero, then <code class="function">plpy.execute</code> retrieves at
+ most <em class="replaceable"><code>limit</code></em> rows, much as if the query
+ included a <code class="literal">LIMIT</code>
+ clause. Omitting <em class="replaceable"><code>limit</code></em> or specifying it as
+ zero results in no row limit.
+ </p><p>
+ The result object emulates a list or dictionary object. The result
+ object can be accessed by row number and column name. For example:
+</p><pre class="programlisting">
+rv = plpy.execute("SELECT * FROM my_table", 5)
+</pre><p>
+ returns up to 5 rows from <code class="literal">my_table</code>. If
+ <code class="literal">my_table</code> has a column
+ <code class="literal">my_column</code>, it would be accessed as:
+</p><pre class="programlisting">
+foo = rv[i]["my_column"]
+</pre><p>
+ The number of rows returned can be obtained using the built-in
+ <code class="function">len</code> function.
+ </p><p>
+ The result object has these additional methods:
+ </p><div class="variablelist"><dl class="variablelist"><dt><span class="term"><code class="literal"><code class="function">nrows</code>()</code></span></dt><dd><p>
+ Returns the number of rows processed by the command. Note that this
+ is not necessarily the same as the number of rows returned. For
+ example, an <code class="command">UPDATE</code> command will set this value but
+ won't return any rows (unless <code class="literal">RETURNING</code> is used).
+ </p></dd><dt><span class="term"><code class="literal"><code class="function">status</code>()</code></span></dt><dd><p>
+ The <code class="function">SPI_execute()</code> return value.
+ </p></dd><dt><span class="term"><code class="literal"><code class="function">colnames</code>()</code><br /></span><span class="term"><code class="literal"><code class="function">coltypes</code>()</code><br /></span><span class="term"><code class="literal"><code class="function">coltypmods</code>()</code></span></dt><dd><p>
+ Return a list of column names, list of column type OIDs, and list of
+ type-specific type modifiers for the columns, respectively.
+ </p><p>
+ These methods raise an exception when called on a result object from
+ a command that did not produce a result set, e.g.,
+ <code class="command">UPDATE</code> without <code class="literal">RETURNING</code>, or
+ <code class="command">DROP TABLE</code>. But it is OK to use these methods on
+ a result set containing zero rows.
+ </p></dd><dt><span class="term"><code class="literal"><code class="function">__str__</code>()</code></span></dt><dd><p>
+ The standard <code class="literal">__str__</code> method is defined so that it
+ is possible for example to debug query execution results
+ using <code class="literal">plpy.debug(rv)</code>.
+ </p></dd></dl></div><p>
+ </p><p>
+ The result object can be modified.
+ </p><p>
+ Note that calling <code class="literal">plpy.execute</code> will cause the entire
+ result set to be read into memory. Only use that function when you are
+ sure that the result set will be relatively small. If you don't want to
+ risk excessive memory usage when fetching large results,
+ use <code class="literal">plpy.cursor</code> rather
+ than <code class="literal">plpy.execute</code>.
+ </p></dd><dt><span class="term"><code class="literal">plpy.<code class="function">prepare</code>(<em class="replaceable"><code>query</code></em> [, <em class="replaceable"><code>argtypes</code></em>])</code><br /></span><span class="term"><code class="literal">plpy.<code class="function">execute</code>(<em class="replaceable"><code>plan</code></em> [, <em class="replaceable"><code>arguments</code></em> [, <em class="replaceable"><code>limit</code></em>]])</code></span></dt><dd><p>
+ <a id="id-1.8.11.14.3.3.2.3.1.1" class="indexterm"></a>
+ <code class="function">plpy.prepare</code> prepares the execution plan for a
+ query. It is called with a query string and a list of parameter types,
+ if you have parameter references in the query. For example:
+</p><pre class="programlisting">
+plan = plpy.prepare("SELECT last_name FROM my_users WHERE first_name = $1", ["text"])
+</pre><p>
+ <code class="literal">text</code> is the type of the variable you will be passing
+ for <code class="literal">$1</code>. The second argument is optional if you don't
+ want to pass any parameters to the query.
+ </p><p>
+ After preparing a statement, you use a variant of the
+ function <code class="function">plpy.execute</code> to run it:
+</p><pre class="programlisting">
+rv = plpy.execute(plan, ["name"], 5)
+</pre><p>
+ Pass the plan as the first argument (instead of the query string), and a
+ list of values to substitute into the query as the second argument. The
+ second argument is optional if the query does not expect any parameters.
+ The third argument is the optional row limit as before.
+ </p><p>
+ Alternatively, you can call the <code class="function">execute</code> method on
+ the plan object:
+</p><pre class="programlisting">
+rv = plan.execute(["name"], 5)
+</pre><p>
+ </p><p>
+ Query parameters and result row fields are converted between PostgreSQL
+ and Python data types as described in <a class="xref" href="plpython-data.html" title="46.2. Data Values">Section 46.2</a>.
+ </p><p>
+ When you prepare a plan using the PL/Python module it is automatically
+ saved. Read the SPI documentation (<a class="xref" href="spi.html" title="Chapter 47. Server Programming Interface">Chapter 47</a>) for a
+ description of what this means. In order to make effective use of this
+ across function calls one needs to use one of the persistent storage
+ dictionaries <code class="literal">SD</code> or <code class="literal">GD</code> (see
+ <a class="xref" href="plpython-sharing.html" title="46.3. Sharing Data">Section 46.3</a>). For example:
+</p><pre class="programlisting">
+CREATE FUNCTION usesavedplan() RETURNS trigger AS $$
+ if "plan" in SD:
+ plan = SD["plan"]
+ else:
+ plan = plpy.prepare("SELECT 1")
+ SD["plan"] = plan
+ # rest of function
+$$ LANGUAGE plpython3u;
+</pre><p>
+ </p></dd><dt><span class="term"><code class="literal">plpy.<code class="function">cursor</code>(<em class="replaceable"><code>query</code></em>)</code><br /></span><span class="term"><code class="literal">plpy.<code class="function">cursor</code>(<em class="replaceable"><code>plan</code></em> [, <em class="replaceable"><code>arguments</code></em>])</code></span></dt><dd><p>
+ The <code class="literal">plpy.cursor</code> function accepts the same arguments
+ as <code class="literal">plpy.execute</code> (except for the row limit) and returns
+ a cursor object, which allows you to process large result sets in smaller
+ chunks. As with <code class="literal">plpy.execute</code>, either a query string
+ or a plan object along with a list of arguments can be used, or
+ the <code class="function">cursor</code> function can be called as a method of
+ the plan object.
+ </p><p>
+ The cursor object provides a <code class="literal">fetch</code> method that accepts
+ an integer parameter and returns a result object. Each time you
+ call <code class="literal">fetch</code>, the returned object will contain the next
+ batch of rows, never larger than the parameter value. Once all rows are
+ exhausted, <code class="literal">fetch</code> starts returning an empty result
+ object. Cursor objects also provide an
+ <a class="ulink" href="https://docs.python.org/library/stdtypes.html#iterator-types" target="_top">iterator
+ interface</a>, yielding one row at a time until all rows are
+ exhausted. Data fetched that way is not returned as result objects, but
+ rather as dictionaries, each dictionary corresponding to a single result
+ row.
+ </p><p>
+ An example of two ways of processing data from a large table is:
+</p><pre class="programlisting">
+CREATE FUNCTION count_odd_iterator() RETURNS integer AS $$
+odd = 0
+for row in plpy.cursor("select num from largetable"):
+ if row['num'] % 2:
+ odd += 1
+return odd
+$$ LANGUAGE plpython3u;
+
+CREATE FUNCTION count_odd_fetch(batch_size integer) RETURNS integer AS $$
+odd = 0
+cursor = plpy.cursor("select num from largetable")
+while True:
+ rows = cursor.fetch(batch_size)
+ if not rows:
+ break
+ for row in rows:
+ if row['num'] % 2:
+ odd += 1
+return odd
+$$ LANGUAGE plpython3u;
+
+CREATE FUNCTION count_odd_prepared() RETURNS integer AS $$
+odd = 0
+plan = plpy.prepare("select num from largetable where num % $1 &lt;&gt; 0", ["integer"])
+rows = list(plpy.cursor(plan, [2])) # or: = list(plan.cursor([2]))
+
+return len(rows)
+$$ LANGUAGE plpython3u;
+</pre><p>
+ </p><p>
+ Cursors are automatically disposed of. But if you want to explicitly
+ release all resources held by a cursor, use the <code class="literal">close</code>
+ method. Once closed, a cursor cannot be fetched from anymore.
+ </p><div class="tip"><h3 class="title">Tip</h3><p>
+ Do not confuse objects created by <code class="literal">plpy.cursor</code> with
+ DB-API cursors as defined by
+ the <a class="ulink" href="https://www.python.org/dev/peps/pep-0249/" target="_top">Python
+ Database API specification</a>. They don't have anything in common
+ except for the name.
+ </p></div></dd></dl></div></div><div class="sect2" id="PLPYTHON-TRAPPING"><div class="titlepage"><div><div><h3 class="title">46.6.2. Trapping Errors</h3></div></div></div><p>
+ Functions accessing the database might encounter errors, which
+ will cause them to abort and raise an exception. Both
+ <code class="function">plpy.execute</code> and
+ <code class="function">plpy.prepare</code> can raise an instance of a subclass of
+ <code class="literal">plpy.SPIError</code>, which by default will terminate
+ the function. This error can be handled just like any other
+ Python exception, by using the <code class="literal">try/except</code>
+ construct. For example:
+</p><pre class="programlisting">
+CREATE FUNCTION try_adding_joe() RETURNS text AS $$
+ try:
+ plpy.execute("INSERT INTO users(username) VALUES ('joe')")
+ except plpy.SPIError:
+ return "something went wrong"
+ else:
+ return "Joe added"
+$$ LANGUAGE plpython3u;
+</pre><p>
+ </p><p>
+ The actual class of the exception being raised corresponds to the
+ specific condition that caused the error. Refer
+ to <a class="xref" href="errcodes-appendix.html#ERRCODES-TABLE" title="Table A.1. PostgreSQL Error Codes">Table A.1</a> for a list of possible
+ conditions. The module
+ <code class="literal">plpy.spiexceptions</code> defines an exception class
+ for each <span class="productname">PostgreSQL</span> condition, deriving
+ their names from the condition name. For
+ instance, <code class="literal">division_by_zero</code>
+ becomes <code class="literal">DivisionByZero</code>, <code class="literal">unique_violation</code>
+ becomes <code class="literal">UniqueViolation</code>, <code class="literal">fdw_error</code>
+ becomes <code class="literal">FdwError</code>, and so on. Each of these
+ exception classes inherits from <code class="literal">SPIError</code>. This
+ separation makes it easier to handle specific errors, for
+ instance:
+</p><pre class="programlisting">
+CREATE FUNCTION insert_fraction(numerator int, denominator int) RETURNS text AS $$
+from plpy import spiexceptions
+try:
+ plan = plpy.prepare("INSERT INTO fractions (frac) VALUES ($1 / $2)", ["int", "int"])
+ plpy.execute(plan, [numerator, denominator])
+except spiexceptions.DivisionByZero:
+ return "denominator cannot equal zero"
+except spiexceptions.UniqueViolation:
+ return "already have that fraction"
+except plpy.SPIError as e:
+ return "other error, SQLSTATE %s" % e.sqlstate
+else:
+ return "fraction inserted"
+$$ LANGUAGE plpython3u;
+</pre><p>
+ Note that because all exceptions from
+ the <code class="literal">plpy.spiexceptions</code> module inherit
+ from <code class="literal">SPIError</code>, an <code class="literal">except</code>
+ clause handling it will catch any database access error.
+ </p><p>
+ As an alternative way of handling different error conditions, you
+ can catch the <code class="literal">SPIError</code> exception and determine
+ the specific error condition inside the <code class="literal">except</code>
+ block by looking at the <code class="literal">sqlstate</code> attribute of
+ the exception object. This attribute is a string value containing
+ the <span class="quote">“<span class="quote">SQLSTATE</span>”</span> error code. This approach provides
+ approximately the same functionality
+ </p></div></div><div class="navfooter"><hr /><table width="100%" summary="Navigation footer"><tr><td width="40%" align="left"><a accesskey="p" href="plpython-trigger.html" title="46.5. Trigger 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-subtransaction.html" title="46.7. Explicit Subtransactions">Next</a></td></tr><tr><td width="40%" align="left" valign="top">46.5. Trigger Functions </td><td width="20%" align="center"><a accesskey="h" href="index.html" title="PostgreSQL 15.5 Documentation">Home</a></td><td width="40%" align="right" valign="top"> 46.7. Explicit Subtransactions</td></tr></table></div></body></html> \ No newline at end of file