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<body class="article">
<div id="header">
<h1>PL/Proxy tutorial</h1>
<div id="toc">
  <div id="toctitle">Table of Contents</div>
  <noscript><p><b>JavaScript must be enabled in your browser to display the table of contents.</b></p></noscript>
</div>
</div>
<div id="content">
<div id="preamble">
<div class="sectionbody">
<div class="paragraph"><p>This section explains how to use PL/Proxy to proxy queries across a set of
remote databases. For purposes of this intro we assume
each remote database has a "user" table that contains a username and an email
column.</p></div>
<div class="paragraph"><p>We also assume that the data is partitioned across remote databases by taking
a hash of the username and assigning it to one of 2 servers. Real applications
should use a partitioning scheme that is appropriate to their requirements.</p></div>
<div class="paragraph"><p>For the purposes of this example assume that the partition databases part00
and part01 both contain a table resembling</p></div>
<div class="listingblock">
<div class="content">
<pre><code>CREATE TABLE users (
    username text,
    email text
);</code></pre>
</div></div>
</div>
</div>
<div class="sect1">
<h2 id="_installation">Installation</h2>
<div class="sectionbody">
<div class="olist arabic"><ol class="arabic">
<li>
<p>
Download PL/Proxy from <a href="http://pgfoundry.org/projects/plproxy">http://pgfoundry.org/projects/plproxy</a> and extract.
</p>
</li>
<li>
<p>
Build PL/Proxy by running <code>make</code> and <code>make install</code> inside of the plproxy
    directory. If your having problems make sure that pg_config from the
    postgresql bin directory is in your path.
</p>
</li>
<li>
<p>
To install PL/Proxy in a database execute the commands in the <code>plproxy.sql</code>
    file.  For example <code>psql -f $SHAREDIR/contrib/plproxy.sql mydatabase</code>
</p>
</li>
</ol></div>
<div class="paragraph"><p>Steps 1 and 2 can be skipped if your installed pl/proxy from a packaging system
such as RPM.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_simple_remote_function_call">Simple remote function call</h2>
<div class="sectionbody">
<div class="paragraph"><p>Here we will create a plproxy function that will run on the proxy database which
will connect to a remote database named
<em>part00</em> and return a users email address.</p></div>
<div class="paragraph"><p>This example  uses plproxy in CONNECT mode, it will
connect to <code>dbname=part00</code> and run following SQL there:</p></div>
<div class="listingblock">
<div class="content">
<pre><code>CREATE FUNCTION get_user_email(i_username text)
RETURNS SETOF text AS $$
    CONNECT 'dbname=part00';
    SELECT email FROM users WHERE username = $1;
$$ LANGUAGE plproxy;

SELECT * from get_user_email($1);</code></pre>
</div></div>
<div class="paragraph"><p>The above example uses plproxy to proxy the query to the remote database but
doesn&#8217;t handle partitioning of data.  It assumes that the entire users table is
in the remote users database.  The next few steps will describe how to partition
data with PL/Proxy.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_create_configuration_functions">Create  configuration functions</h2>
<div class="sectionbody">
<div class="paragraph"><p>Using PL/Proxy for partitioning requires setting up some configuration functions.
Alternatively, if you are running PostgreSQL 8.4 or above you can take advantage
of the SQL/MED connection management facilities. See below.</p></div>
<div class="paragraph"><p>When a query needs to be forwarded to a remote database the function
plproxy.get_cluster_partitions(cluster) is invoked by plproxy to get the
connection string to use for each partition.</p></div>
<div class="paragraph"><p>The following is an example</p></div>
<div class="listingblock">
<div class="content">
<pre><code>CREATE OR REPLACE FUNCTION plproxy.get_cluster_partitions(cluster_name text)
RETURNS SETOF text AS $$
BEGIN
    IF cluster_name = 'usercluster' THEN
        RETURN NEXT 'dbname=part00 host=127.0.0.1';
        RETURN NEXT 'dbname=part01 host=127.0.0.1';
        RETURN;
    END IF;
    RAISE EXCEPTION 'Unknown cluster';
END;
$$ LANGUAGE plpgsql;</code></pre>
</div></div>
<div class="paragraph"><p>A production application might query some configuration tables to return the
connstrings. The number of partitions must be a power of 2.</p></div>
<div class="paragraph"><p>Next define a plproxy.get_cluster_version(cluster_name) function.  This is
called on each request and determines if the output from a cached
result from plproxy.get_cluster_partitions can be reused.</p></div>
<div class="listingblock">
<div class="content">
<pre><code>CREATE OR REPLACE FUNCTION plproxy.get_cluster_version(cluster_name text)
RETURNS int4 AS $$
BEGIN
    IF cluster_name = 'usercluster' THEN
        RETURN 1;
    END IF;
    RAISE EXCEPTION 'Unknown cluster';
END;
$$ LANGUAGE plpgsql;</code></pre>
</div></div>
<div class="paragraph"><p>We also need to provide a plproxy.get_cluster_config function, ours will provide
a value for the connection lifetime.  See the configuration section for details
on what this function can do.</p></div>
<div class="listingblock">
<div class="content">
<pre><code>CREATE OR REPLACE FUNCTION plproxy.get_cluster_config(
    in cluster_name text,
    out key text,
    out val text)
RETURNS SETOF record AS $$
BEGIN
    -- lets use same config for all clusters
    key := 'connection_lifetime';
    val := 30*60; -- 30m
    RETURN NEXT;
    RETURN;
END;
$$ LANGUAGE plpgsql;</code></pre>
</div></div>
<div class="paragraph"><p>The config section contains more information on all of these functions.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_configuring_pl_proxy_clusters_with_sql_med">Configuring Pl/Proxy clusters with SQL/MED</h2>
<div class="sectionbody">
<div class="paragraph"><p>First we need a foreign data wrapper. This is mostly a placeholder, but can
be extended with a validator function to verify the cluster definition.
See <a href="http://www.postgresql.org/docs/8.4/static/sql-createforeigndatawrapper.html">http://www.postgresql.org/docs/8.4/static/sql-createforeigndatawrapper.html</a>
for additional details of how to manage the SQL/MED catalog.</p></div>
<div class="listingblock">
<div class="content">
<pre><code>CREATE FOREIGN DATA WRAPPER plproxy;</code></pre>
</div></div>
<div class="paragraph"><p>Then the actual cluster with its configuration options and partitions:</p></div>
<div class="listingblock">
<div class="content">
<pre><code>CREATE SERVER usercluster FOREIGN DATA WRAPPER plproxy
OPTIONS (connection_lifetime '1800',
         p0 'dbname=part00 host=127.0.0.1',
         p1 'dbname=part01 host=127.0.0.1' );</code></pre>
</div></div>
<div class="paragraph"><p>We also need a user mapping that maps local PostgreSQL users to remote
partitions. It is possible to create PUBLIC mapping that applies for
all users in the local system:</p></div>
<div class="listingblock">
<div class="content">
<pre><code>CREATE USER MAPPING FOR PUBLIC SERVER usercluster;</code></pre>
</div></div>
<div class="paragraph"><p>Or a private mapping that can only be used by specific users:</p></div>
<div class="listingblock">
<div class="content">
<pre><code>CREATE USER MAPPING FOR bob SERVER usercluster
        OPTIONS (user 'plproxy', password 'salakala');</code></pre>
</div></div>
<div class="paragraph"><p>Finally we need to grant USAGE on the cluster to specific users:</p></div>
<div class="listingblock">
<div class="content">
<pre><code>GRANT USAGE ON SERVER usercluster TO bob;</code></pre>
</div></div>
</div>
</div>
<div class="sect1">
<h2 id="_partitioned_remote_call">Partitioned remote call</h2>
<div class="sectionbody">
<div class="paragraph"><p>Here we assume that the user table is spread over several databases based
on a hash of the username. The connection string for the partitioned databases
are contained in the get_cluster_partitions function described above.</p></div>
<div class="paragraph"><p>Below is a get_user_email function that is executed on the proxy server,which
will make a remote connection to the appropriate partitioned database. The
user&#8217;s email address will be returned.</p></div>
<div class="paragraph"><p>This function should be created in the proxy database.</p></div>
<div class="listingblock">
<div class="content">
<pre><code>CREATE OR REPLACE FUNCTION get_user_email(i_username text)
RETURNS SETOF text AS $$
    CLUSTER 'usercluster';
    RUN ON hashtext(i_username) ;
    SELECT email FROM users WHERE username = i_username;
$$ LANGUAGE plproxy;</code></pre>
</div></div>
</div>
</div>
<div class="sect1">
<h2 id="_inserting_into_the_proper_partition">Inserting into the proper partition</h2>
<div class="sectionbody">
<div class="paragraph"><p>Next we provide a simple INSERT function.</p></div>
<div class="paragraph"><p>Inserting data through plproxy requires functions to be defined on the proxy
databases that will perform the insert.</p></div>
<div class="paragraph"><p>We define this function on both part00 and part01</p></div>
<div class="listingblock">
<div class="content">
<pre><code>CREATE OR REPLACE FUNCTION insert_user(i_username text, i_emailaddress text)
RETURNS integer AS $$
       INSERT INTO users (username, email) VALUES ($1,$2);
       SELECT 1;
$$ LANGUAGE SQL;</code></pre>
</div></div>
<div class="paragraph"><p>Now we define a proxy function inside the proxy database to send the
INSERT&#8217;s to the appropriate target.</p></div>
<div class="listingblock">
<div class="content">
<pre><code>CREATE OR REPLACE FUNCTION insert_user(i_username text, i_emailaddress text)
RETURNS integer AS $$
    CLUSTER 'usercluster';
    RUN ON hashtext(i_username);
$$ LANGUAGE plproxy;</code></pre>
</div></div>
</div>
</div>
<div class="sect1">
<h2 id="_putting_it_all_together">Putting it all together</h2>
<div class="sectionbody">
<div class="paragraph"><p>Connect to the proxy database (The one we installed plproxy and the plproxy
functions on).</p></div>
<div class="listingblock">
<div class="content">
<pre><code>SELECT insert_user('Sven','sven@somewhere.com');
SELECT insert_user('Marko', 'marko@somewhere.com');
SELECT insert_user('Steve','steve@somewhere.cm');</code></pre>
</div></div>
<div class="paragraph"><p>Now connect to the plproxy_1 and plproxy_2 databases.  Sven and Marko should be
in plproxy_2 , and Steve should be in plproxy_1.</p></div>
<div class="paragraph"><p>When connected to the proxy user you can obtain data by doing</p></div>
<div class="listingblock">
<div class="content">
<pre><code>SELECT get_user_email('Sven');
SELECT get_user_email('Marko');
SELECT get_user_email('Steve');</code></pre>
</div></div>
</div>
</div>
<div class="sect1">
<h2 id="_connection_pooling">Connection pooling</h2>
<div class="sectionbody">
<div class="paragraph"><p>When used in partitioned setup, PL/Proxy somewhat wastes connections
as it opens connection to each partition from each backend process.
So it&#8217;s good idea to use a pooler that can take queries from several
connections and funnel them via smaller number of connections to actual
database.  We use and recommend
<a href="http://wiki.postgresql.org/wiki/PgBouncer">PgBouncer</a>
for that.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_more_resources">More resources</h2>
<div class="sectionbody">
<div class="paragraph"><p>Kristo Kaiv has his own take on tutorial here:
<a href="http://kaiv.wordpress.com/category/plproxy/">http://kaiv.wordpress.com/category/plproxy/</a></p></div>
</div>
</div>
</div>
<div id="footnotes"><hr /></div>
<div id="footer">
<div id="footer-text">
Last updated 2012-11-27 14:04:52 CET
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