New async/sync multi-master headings for docs.
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<!-- $PostgreSQL: pgsql/doc/src/sgml/high-availability.sgml,v 1.10 2006/11/22 04:00:19 momjian Exp $ -->
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<!-- $PostgreSQL: pgsql/doc/src/sgml/high-availability.sgml,v 1.11 2006/11/22 04:01:40 momjian Exp $ -->
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<chapter id="high-availability">
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<chapter id="high-availability">
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<title>High Availability and Load Balancing</title>
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<title>High Availability and Load Balancing</title>
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@ -133,11 +133,11 @@ protocol to make nodes agree on a serializable transactional order.
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</varlistentry>
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</varlistentry>
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<varlistentry>
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<varlistentry>
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<term>Master/Slave Replication</term>
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<term>Master-Slave Replication</term>
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<listitem>
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<listitem>
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<para>
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<para>
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A master/slave replication setup sends all data modification
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A master-slave replication setup sends all data modification
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queries to the master server. The master server asynchronously
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queries to the master server. The master server asynchronously
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sends data changes to the slave server. The slave can answer
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sends data changes to the slave server. The slave can answer
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read-only queries while the master server is running. The
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read-only queries while the master server is running. The
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@ -184,24 +184,24 @@ protocol to make nodes agree on a serializable transactional order.
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</varlistentry>
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</varlistentry>
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<varlistentry>
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<varlistentry>
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<term>Multi-Master Replication</term>
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<term>Synchonous Multi-Master Replication</term>
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<listitem>
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<listitem>
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<para>
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<para>
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In multi-master replication, each server can accept write
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In synchonous multi-master replication, each server can accept
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requests, and modified data is transmitted from the original
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write requests, and modified data is transmitted from the
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server to every other server before each transaction commits.
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original server to every other server before each transaction
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Heavy write activity can cause excessive locking, leading to
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commits. Heavy write activity can cause excessive locking,
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poor performance. In fact, write performance is often worse
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leading to poor performance. In fact, write performance is
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than that of a single server. Read requests can be sent to
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often worse than that of a single server. Read requests can
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any server. Some implementations use cluster-wide shared memory
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be sent to any server. Some implementations use cluster-wide
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or shared disk to reduce the communication overhead. Clustering
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shared memory or shared disk to reduce the communication
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is best for mostly read workloads, though its big advantage is
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overhead. Clustering is best for mostly read workloads, though
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that any server can accept write requests — there is no
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its big advantage is that any server can accept write requests
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need to partition workloads between master and slave servers,
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— there is no need to partition workloads between master
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and because the data changes are sent from one server to another,
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and slave servers, and because the data changes are sent from
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there is no problem with non-deterministic functions like
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one server to another, there is no problem with non-deterministic
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<function>random()</>.
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functions like <function>random()</>.
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</para>
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</para>
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<para>
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<para>
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@ -216,7 +216,7 @@ protocol to make nodes agree on a serializable transactional order.
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</varlistentry>
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</varlistentry>
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<varlistentry>
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<varlistentry>
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<term>Multi-Master With Conflict Resolution</term>
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<term>Asynchronous Multi-Master Replication</term>
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<listitem>
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<listitem>
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<para>
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<para>
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