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From tylerho...@apache.org
Subject svn commit: r1757435 [20/30] - in /cassandra/site/publish/doc: 3.10/ 3.10/architecture/ 3.10/configuration/ 3.10/cql/ 3.10/data_modeling/ 3.10/development/ 3.10/faq/ 3.10/getting_started/ 3.10/operating/ 3.10/tools/ 3.10/troubleshooting/ latest/ latest...
Date Tue, 23 Aug 2016 20:58:09 GMT
Added: cassandra/site/publish/doc/3.10/operating/compression.html
URL: http://svn.apache.org/viewvc/cassandra/site/publish/doc/3.10/operating/compression.html?rev=1757435&view=auto
==============================================================================
--- cassandra/site/publish/doc/3.10/operating/compression.html (added)
+++ cassandra/site/publish/doc/3.10/operating/compression.html Tue Aug 23 20:58:08 2016
@@ -0,0 +1,333 @@
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+<li class="toctree-l2"><a class="reference internal" href="bloom_filters.html">Bloom Filters</a></li>
+<li class="toctree-l2 current"><a class="current reference internal" href="#">Compression</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#configuring-compression">Configuring Compression</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#benefits-and-uses">Benefits and Uses</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#operational-impact">Operational Impact</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#advanced-use">Advanced Use</a></li>
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+          
+  <div class="section" id="compression">
+<h1>Compression<a class="headerlink" href="#compression" title="Permalink to this headline">¶</a></h1>
+<p>Cassandra offers operators the ability to configure compression on a per-table basis. Compression reduces the size of
+data on disk by compressing the SSTable in user-configurable compression <code class="docutils literal"><span class="pre">chunk_length_in_kb</span></code>. Because Cassandra
+SSTables are immutable, the CPU cost of compressing is only necessary when the SSTable is written - subsequent updates
+to data will land in different SSTables, so Cassandra will not need to decompress, overwrite, and recompress data when
+UPDATE commands are issued. On reads, Cassandra will locate the relevant compressed chunks on disk, decompress the full
+chunk, and then proceed with the remainder of the read path (merging data from disks and memtables, read repair, and so
+on).</p>
+<div class="section" id="configuring-compression">
+<h2>Configuring Compression<a class="headerlink" href="#configuring-compression" title="Permalink to this headline">¶</a></h2>
+<p>Compression is configured on a per-table basis as an optional argument to <code class="docutils literal"><span class="pre">CREATE</span> <span class="pre">TABLE</span></code> or <code class="docutils literal"><span class="pre">ALTER</span> <span class="pre">TABLE</span></code>. By
+default, three options are relevant:</p>
+<ul class="simple">
+<li><code class="docutils literal"><span class="pre">class</span></code> specifies the compression class - Cassandra provides three classes (<code class="docutils literal"><span class="pre">LZ4Compressor</span></code>,
+<code class="docutils literal"><span class="pre">SnappyCompressor</span></code>, and <code class="docutils literal"><span class="pre">DeflateCompressor</span></code> ). The default is <code class="docutils literal"><span class="pre">SnappyCompressor</span></code>.</li>
+<li><code class="docutils literal"><span class="pre">chunk_length_in_kb</span></code> specifies the number of kilobytes of data per compression chunk. The default is 64KB.</li>
+<li><code class="docutils literal"><span class="pre">crc_check_chance</span></code> determines how likely Cassandra is to verify the checksum on each compression chunk during
+reads. The default is 1.0.</li>
+</ul>
+<p>Users can set compression using the following syntax:</p>
+<div class="highlight-none"><div class="highlight"><pre><span></span>CREATE TABLE keyspace.table (id int PRIMARY KEY) WITH compression = {&#39;class&#39;: &#39;LZ4Compressor&#39;};
+</pre></div>
+</div>
+<p>Or</p>
+<div class="highlight-none"><div class="highlight"><pre><span></span>ALTER TABLE keyspace.table WITH compression = {&#39;class&#39;: &#39;SnappyCompressor&#39;, &#39;chunk_length_in_kb&#39;: 128, &#39;crc_check_chance&#39;: 0.5};
+</pre></div>
+</div>
+<p>Once enabled, compression can be disabled with <code class="docutils literal"><span class="pre">ALTER</span> <span class="pre">TABLE</span></code> setting <code class="docutils literal"><span class="pre">enabled</span></code> to <code class="docutils literal"><span class="pre">false</span></code>:</p>
+<div class="highlight-none"><div class="highlight"><pre><span></span>ALTER TABLE keyspace.table WITH compression = {&#39;enabled&#39;:&#39;false&#39;};
+</pre></div>
+</div>
+<p>Operators should be aware, however, that changing compression is not immediate. The data is compressed when the SSTable
+is written, and as SSTables are immutable, the compression will not be modified until the table is compacted. Upon
+issuing a change to the compression options via <code class="docutils literal"><span class="pre">ALTER</span> <span class="pre">TABLE</span></code>, the existing SSTables will not be modified until they
+are compacted - if an operator needs compression changes to take effect immediately, the operator can trigger an SSTable
+rewrite using <code class="docutils literal"><span class="pre">nodetool</span> <span class="pre">scrub</span></code> or <code class="docutils literal"><span class="pre">nodetool</span> <span class="pre">upgradesstables</span> <span class="pre">-a</span></code>, both of which will rebuild the SSTables on disk,
+re-compressing the data in the process.</p>
+</div>
+<div class="section" id="benefits-and-uses">
+<h2>Benefits and Uses<a class="headerlink" href="#benefits-and-uses" title="Permalink to this headline">¶</a></h2>
+<p>Compression&#8217;s primary benefit is that it reduces the amount of data written to disk. Not only does the reduced size save
+in storage requirements, it often increases read and write throughput, as the CPU overhead of compressing data is faster
+than the time it would take to read or write the larger volume of uncompressed data from disk.</p>
+<p>Compression is most useful in tables comprised of many rows, where the rows are similar in nature. Tables containing
+similar text columns (such as repeated JSON blobs) often compress very well.</p>
+</div>
+<div class="section" id="operational-impact">
+<h2>Operational Impact<a class="headerlink" href="#operational-impact" title="Permalink to this headline">¶</a></h2>
+<ul class="simple">
+<li>Compression metadata is stored off-heap and scales with data on disk.  This often requires 1-3GB of off-heap RAM per
+terabyte of data on disk, though the exact usage varies with <code class="docutils literal"><span class="pre">chunk_length_in_kb</span></code> and compression ratios.</li>
+<li>Streaming operations involve compressing and decompressing data on compressed tables - in some code paths (such as
+non-vnode bootstrap), the CPU overhead of compression can be a limiting factor.</li>
+<li>The compression path checksums data to ensure correctness - while the traditional Cassandra read path does not have a
+way to ensure correctness of data on disk, compressed tables allow the user to set <code class="docutils literal"><span class="pre">crc_check_chance</span></code> (a float from
+0.0 to 1.0) to allow Cassandra to probabilistically validate chunks on read to verify bits on disk are not corrupt.</li>
+</ul>
+</div>
+<div class="section" id="advanced-use">
+<h2>Advanced Use<a class="headerlink" href="#advanced-use" title="Permalink to this headline">¶</a></h2>
+<p>Advanced users can provide their own compression class by implementing the interface at
+<code class="docutils literal"><span class="pre">org.apache.cassandra.io.compress.ICompressor</span></code>.</p>
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Added: cassandra/site/publish/doc/3.10/operating/hardware.html
URL: http://svn.apache.org/viewvc/cassandra/site/publish/doc/3.10/operating/hardware.html?rev=1757435&view=auto
==============================================================================
--- cassandra/site/publish/doc/3.10/operating/hardware.html (added)
+++ cassandra/site/publish/doc/3.10/operating/hardware.html Tue Aug 23 20:58:08 2016
@@ -0,0 +1,335 @@
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+">
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+<li class="toctree-l2"><a class="reference internal" href="security.html">Security</a></li>
+<li class="toctree-l2 current"><a class="current reference internal" href="#">Hardware Choices</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#cpu">CPU</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#memory">Memory</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#disks">Disks</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#common-cloud-choices">Common Cloud Choices</a></li>
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+          
+  <div class="section" id="hardware-choices">
+<h1>Hardware Choices<a class="headerlink" href="#hardware-choices" title="Permalink to this headline">¶</a></h1>
+<p>Like most databases, Cassandra throughput improves with more CPU cores, more RAM, and faster disks. While Cassandra can
+be made to run on small servers for testing or development environments (including Raspberry Pis), a minimal production
+server requires at least 2 cores, and at least 8GB of RAM. Typical production servers have 8 or more cores and at least
+32GB of RAM.</p>
+<div class="section" id="cpu">
+<h2>CPU<a class="headerlink" href="#cpu" title="Permalink to this headline">¶</a></h2>
+<p>Cassandra is highly concurrent, handling many simultaneous requests (both read and write) using multiple threads running
+on as many CPU cores as possible. The Cassandra write path tends to be heavily optimized (writing to the commitlog and
+then inserting the data into the memtable), so writes, in particular, tend to be CPU bound. Consequently, adding
+additional CPU cores often increases throughput of both reads and writes.</p>
+</div>
+<div class="section" id="memory">
+<h2>Memory<a class="headerlink" href="#memory" title="Permalink to this headline">¶</a></h2>
+<p>Cassandra runs within a Java VM, which will pre-allocate a fixed size heap (java&#8217;s Xmx system parameter). In addition to
+the heap, Cassandra will use significant amounts of RAM offheap for compression metadata, bloom filters, row, key, and
+counter caches, and an in process page cache. Finally, Cassandra will take advantage of the operating system&#8217;s page
+cache, storing recently accessed portions files in RAM for rapid re-use.</p>
+<p>For optimal performance, operators should benchmark and tune their clusters based on their individual workload. However,
+basic guidelines suggest:</p>
+<ul class="simple">
+<li>ECC RAM should always be used, as Cassandra has few internal safeguards to protect against bit level corruption</li>
+<li>The Cassandra heap should be no less than 2GB, and no more than 50% of your system RAM</li>
+<li>Heaps smaller than 12GB should consider ParNew/ConcurrentMarkSweep garbage collection</li>
+<li>Heaps larger than 12GB should consider G1GC</li>
+</ul>
+</div>
+<div class="section" id="disks">
+<h2>Disks<a class="headerlink" href="#disks" title="Permalink to this headline">¶</a></h2>
+<p>Cassandra persists data to disk for two very different purposes. The first is to the commitlog when a new write is made
+so that it can be replayed after a crash or system shutdown. The second is to the data directory when thresholds are
+exceeded and memtables are flushed to disk as SSTables.</p>
+<p>Commitlogs receive every write made to a Cassandra node and have the potential to block client operations, but they are
+only ever read on node start-up. SSTable (data file) writes on the other hand occur asynchronously, but are read to
+satisfy client look-ups. SSTables are also periodically merged and rewritten in a process called compaction.  The data
+held in the commitlog directory is data that has not been permanently saved to the SSTable data directories - it will be
+periodically purged once it is flushed to the SSTable data files.</p>
+<p>Cassandra performs very well on both spinning hard drives and solid state disks. In both cases, Cassandra&#8217;s sorted
+immutable SSTables allow for linear reads, few seeks, and few overwrites, maximizing throughput for HDDs and lifespan of
+SSDs by avoiding write amplification. However, when using spinning disks, it&#8217;s important that the commitlog
+(<code class="docutils literal"><span class="pre">commitlog_directory</span></code>) be on one physical disk (not simply a partition, but a physical disk), and the data files
+(<code class="docutils literal"><span class="pre">data_file_directories</span></code>) be set to a separate physical disk. By separating the commitlog from the data directory,
+writes can benefit from sequential appends to the commitlog without having to seek around the platter as reads request
+data from various SSTables on disk.</p>
+<p>In most cases, Cassandra is designed to provide redundancy via multiple independent, inexpensive servers. For this
+reason, using NFS or a SAN for data directories is an antipattern and should typically be avoided.  Similarly, servers
+with multiple disks are often better served by using RAID0 or JBOD than RAID1 or RAID5 - replication provided by
+Cassandra obsoletes the need for replication at the disk layer, so it&#8217;s typically recommended that operators take
+advantage of the additional throughput of RAID0 rather than protecting against failures with RAID1 or RAID5.</p>
+</div>
+<div class="section" id="common-cloud-choices">
+<h2>Common Cloud Choices<a class="headerlink" href="#common-cloud-choices" title="Permalink to this headline">¶</a></h2>
+<p>Many large users of Cassandra run in various clouds, including AWS, Azure, and GCE - Cassandra will happily run in any
+of these environments. Users should choose similar hardware to what would be needed in physical space. In EC2, popular
+options include:</p>
+<ul class="simple">
+<li>m1.xlarge instances, which provide 1.6TB of local ephemeral spinning storage and sufficient RAM to run moderate
+workloads</li>
+<li>i2 instances, which provide both a high RAM:CPU ratio and local ephemeral SSDs</li>
+<li>m4.2xlarge / c4.4xlarge instances, which provide modern CPUs, enhanced networking and work well with EBS GP2 (SSD)
+storage</li>
+</ul>
+<p>Generally, disk and network performance increases with instance size and generation, so newer generations of instances
+and larger instance types within each family often perform better than their smaller or older alternatives.</p>
+</div>
+</div>
+
+
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Added: cassandra/site/publish/doc/3.10/operating/hints.html
URL: http://svn.apache.org/viewvc/cassandra/site/publish/doc/3.10/operating/hints.html?rev=1757435&view=auto
==============================================================================
--- cassandra/site/publish/doc/3.10/operating/hints.html (added)
+++ cassandra/site/publish/doc/3.10/operating/hints.html Tue Aug 23 20:58:08 2016
@@ -0,0 +1,269 @@
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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.
+">
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+  <link rel="stylesheet" href="./../../../css/style.css">
+  
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+  
+
+   <link rel="top" title="Apache Cassandra Documentation v3.10" href="../index.html"/> <link rel="up" title="Operating Cassandra" href="index.html"/> <link rel="next" title="Compaction" href="compaction.html"/> <link rel="prev" title="Read repair" href="read_repair.html"/> 
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+<li class="toctree-l2"><a class="reference internal" href="read_repair.html">Read repair</a></li>
+<li class="toctree-l2 current"><a class="current reference internal" href="#">Hints</a></li>
+<li class="toctree-l2"><a class="reference internal" href="compaction.html">Compaction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="bloom_filters.html">Bloom Filters</a></li>
+<li class="toctree-l2"><a class="reference internal" href="compression.html">Compression</a></li>
+<li class="toctree-l2"><a class="reference internal" href="cdc.html">Change Data Capture</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="bulk_loading.html">Bulk Loading</a></li>
+<li class="toctree-l2"><a class="reference internal" href="metrics.html">Monitoring</a></li>
+<li class="toctree-l2"><a class="reference internal" href="security.html">Security</a></li>
+<li class="toctree-l2"><a class="reference internal" href="hardware.html">Hardware Choices</a></li>
+</ul>
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+    <div class="col-md-8">
+      <div class="content doc-content">
+        <div class="container">
+          
+  <div class="section" id="hints">
+<h1>Hints<a class="headerlink" href="#hints" title="Permalink to this headline">¶</a></h1>
+<div class="admonition-todo admonition" id="index-0">
+<p class="first admonition-title">Todo</p>
+<p class="last">todo</p>
+</div>
+</div>
+
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Added: cassandra/site/publish/doc/3.10/operating/index.html
URL: http://svn.apache.org/viewvc/cassandra/site/publish/doc/3.10/operating/index.html?rev=1757435&view=auto
==============================================================================
--- cassandra/site/publish/doc/3.10/operating/index.html (added)
+++ cassandra/site/publish/doc/3.10/operating/index.html Tue Aug 23 20:58:08 2016
@@ -0,0 +1,362 @@
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+  <div class="section" id="operating-cassandra">
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