Added: cassandra/site/publish/doc/3.10/operating/topo_changes.html
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http://svn.apache.org/viewvc/cassandra/site/publish/doc/3.10/operating/topo_changes.html?rev=1757435&view=auto
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--- cassandra/site/publish/doc/3.10/operating/topo_changes.html (added)
+++ cassandra/site/publish/doc/3.10/operating/topo_changes.html Tue Aug 23 
20:58:08 2016
@@ -0,0 +1,360 @@
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+          
+  <div class="section" id="adding-replacing-moving-and-removing-nodes">
+<span id="topology-changes"></span><h1>Adding, replacing, moving and removing 
nodes<a class="headerlink" href="#adding-replacing-moving-and-removing-nodes" 
title="Permalink to this headline">¶</a></h1>
+<div class="section" id="bootstrap">
+<h2>Bootstrap<a class="headerlink" href="#bootstrap" title="Permalink to this 
headline">¶</a></h2>
+<p>Adding new nodes is called &#8220;bootstrapping&#8221;. The <code 
class="docutils literal"><span class="pre">num_tokens</span></code> parameter 
will define the amount of virtual nodes
+(tokens) the joining node will be assigned during bootstrap. The tokens define 
the sections of the ring (token ranges)
+the node will become responsible for.</p>
+<div class="section" id="token-allocation">
+<h3>Token allocation<a class="headerlink" href="#token-allocation" 
title="Permalink to this headline">¶</a></h3>
+<p>With the default token allocation algorithm the new node will pick <code 
class="docutils literal"><span class="pre">num_tokens</span></code> random 
tokens to become responsible
+for. Since tokens are distributed randomly, load distribution improves with a 
higher amount of virtual nodes, but it
+also increases token management overhead. The default of 256 virtual nodes 
should provide a reasonable load balance with
+acceptable overhead.</p>
+<p>On 3.0+ a new token allocation algorithm was introduced to allocate tokens 
based on the load of existing virtual nodes
+for a given keyspace, and thus yield an improved load distribution with a 
lower number of tokens. To use this approach,
+the new node must be started with the JVM option <code class="docutils 
literal"><span 
class="pre">-Dcassandra.allocate_tokens_for_keyspace=&lt;keyspace&gt;</span></code>,
 where
+<code class="docutils literal"><span 
class="pre">&lt;keyspace&gt;</span></code> is the keyspace from which the 
algorithm can find the load information to optimize token assignment for.</p>
+<div class="section" id="manual-token-assignment">
+<h4>Manual token assignment<a class="headerlink" 
href="#manual-token-assignment" title="Permalink to this headline">¶</a></h4>
+<p>You may specify a comma-separated list of tokens manually with the <code 
class="docutils literal"><span class="pre">initial_token</span></code> <code 
class="docutils literal"><span class="pre">cassandra.yaml</span></code> 
parameter, and
+if that is specified Cassandra will skip the token allocation process. This 
may be useful when doing token assignment
+with an external tool or when restoring a node with its previous tokens.</p>
+</div>
+</div>
+<div class="section" id="range-streaming">
+<h3>Range streaming<a class="headerlink" href="#range-streaming" 
title="Permalink to this headline">¶</a></h3>
+<p>After the tokens are allocated, the joining node will pick current replicas 
of the token ranges it will become
+responsible for to stream data from. By default it will stream from the 
primary replica of each token range in order to
+guarantee data in the new node will be consistent with the current state.</p>
+<p>In the case of any unavailable replica, the consistent bootstrap process 
will fail. To override this behavior and
+potentially miss data from an unavailable replica, set the JVM flag <code 
class="docutils literal"><span 
class="pre">-Dcassandra.consistent.rangemovement=false</span></code>.</p>
+</div>
+<div class="section" id="resuming-failed-hanged-bootstrap">
+<h3>Resuming failed/hanged bootstrap<a class="headerlink" 
href="#resuming-failed-hanged-bootstrap" title="Permalink to this 
headline">¶</a></h3>
+<p>On 2.2+, if the bootstrap process fails, it&#8217;s possible to resume 
bootstrap from the previous saved state by calling
+<code class="docutils literal"><span class="pre">nodetool</span> <span 
class="pre">bootstrap</span> <span class="pre">resume</span></code>. If for 
some reason the bootstrap hangs or stalls, it may also be resumed by simply
+restarting the node. In order to cleanup bootstrap state and start fresh, you 
may set the JVM startup flag
+<code class="docutils literal"><span 
class="pre">-Dcassandra.reset_bootstrap_progress=true</span></code>.</p>
+<p>On lower versions, when the bootstrap proces fails it is recommended to 
wipe the node (remove all the data), and restart
+the bootstrap process again.</p>
+</div>
+<div class="section" id="manual-bootstrapping">
+<h3>Manual bootstrapping<a class="headerlink" href="#manual-bootstrapping" 
title="Permalink to this headline">¶</a></h3>
+<p>It&#8217;s possible to skip the bootstrapping process entirely and join the 
ring straight away by setting the hidden parameter
+<code class="docutils literal"><span class="pre">auto_bootstrap:</span> <span 
class="pre">false</span></code>. This may be useful when restoring a node from 
a backup or creating a new data-center.</p>
+</div>
+</div>
+<div class="section" id="removing-nodes">
+<h2>Removing nodes<a class="headerlink" href="#removing-nodes" 
title="Permalink to this headline">¶</a></h2>
+<p>You can take a node out of the cluster with <code class="docutils 
literal"><span class="pre">nodetool</span> <span 
class="pre">decommission</span></code> to a live node, or <code class="docutils 
literal"><span class="pre">nodetool</span> <span 
class="pre">removenode</span></code> (to any
+other machine) to remove a dead one. This will assign the ranges the old node 
was responsible for to other nodes, and
+replicate the appropriate data there. If decommission is used, the data will 
stream from the decommissioned node. If
+removenode is used, the data will stream from the remaining replicas.</p>
+<p>No data is removed automatically from the node being decommissioned, so if 
you want to put the node back into service at
+a different token on the ring, it should be removed manually.</p>
+</div>
+<div class="section" id="moving-nodes">
+<h2>Moving nodes<a class="headerlink" href="#moving-nodes" title="Permalink to 
this headline">¶</a></h2>
+<p>When <code class="docutils literal"><span class="pre">num_tokens:</span> 
<span class="pre">1</span></code> it&#8217;s possible to move the node position 
in the ring with <code class="docutils literal"><span 
class="pre">nodetool</span> <span class="pre">move</span></code>. Moving is 
both a
+convenience over and more efficient than decommission + bootstrap. After 
moving a node, <code class="docutils literal"><span class="pre">nodetool</span> 
<span class="pre">cleanup</span></code> should be
+run to remove any unnecessary data.</p>
+</div>
+<div class="section" id="replacing-a-dead-node">
+<h2>Replacing a dead node<a class="headerlink" href="#replacing-a-dead-node" 
title="Permalink to this headline">¶</a></h2>
+<p>In order to replace a dead node, start cassandra with the JVM startup flag
+<code class="docutils literal"><span 
class="pre">-Dcassandra.replace_address_first_boot=&lt;dead_node_ip&gt;</span></code>.
 Once this property is enabled the node starts in a hibernate
+state, during which all the other nodes will see this node to be down.</p>
+<p>The replacing node will now start to bootstrap the data from the rest of 
the nodes in the cluster. The main difference
+between normal bootstrapping of a new node is that this new node will not 
accept any writes during this phase.</p>
+<p>Once the bootstrapping is complete the node will be marked 
&#8220;UP&#8221;, we rely on the hinted handoff&#8217;s for making this node
+consistent (since we don&#8217;t accept writes since the start of the 
bootstrap).</p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p class="last">If the replacement process takes longer than <code 
class="docutils literal"><span class="pre">max_hint_window_in_ms</span></code> 
you <strong>MUST</strong> run repair to make the
+replaced node consistent again, since it missed ongoing writes during 
bootstrapping.</p>
+</div>
+</div>
+<div class="section" id="monitoring-progress">
+<h2>Monitoring progress<a class="headerlink" href="#monitoring-progress" 
title="Permalink to this headline">¶</a></h2>
+<p>Bootstrap, replace, move and remove progress can be monitored using <code 
class="docutils literal"><span class="pre">nodetool</span> <span 
class="pre">netstats</span></code> which will show the progress
+of the streaming operations.</p>
+</div>
+<div class="section" id="cleanup-data-after-range-movements">
+<h2>Cleanup data after range movements<a class="headerlink" 
href="#cleanup-data-after-range-movements" title="Permalink to this 
headline">¶</a></h2>
+<p>As a safety measure, Cassandra does not automatically remove data from 
nodes that &#8220;lose&#8221; part of their token range due
+to a range movement operation (bootstrap, move, replace). Run <code 
class="docutils literal"><span class="pre">nodetool</span> <span 
class="pre">cleanup</span></code> on the nodes that lost ranges to the
+joining node when you are satisfied the new node is up and working. If you do 
not do this the old data will still be
+counted against the load on that node.</p>
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Added: cassandra/site/publish/doc/3.10/search.html
URL: 
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==============================================================================
--- cassandra/site/publish/doc/3.10/search.html (added)
+++ cassandra/site/publish/doc/3.10/search.html Tue Aug 23 20:58:08 2016
@@ -0,0 +1,248 @@
+<!DOCTYPE html>
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+  <meta http-equiv="X-UA-Compatible" content="IE=edge">
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+  <meta name="description" content="The Apache Cassandra database is the right 
choice when you need scalability and high availability without compromising 
performance. Linear scalability and proven fault-tolerance on commodity 
hardware or cloud infrastructure make it the perfect platform for 
mission-critical data. Cassandra's support for replicating across multiple 
datacenters is best-in-class, providing lower latency for your users and the 
peace of mind of knowing that you can survive regional outages.
+">
+  <meta name="keywords" content="cassandra, apache, apache cassandra, 
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