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<div class="section" id="node-administration">
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<h1>Node administration<a class="headerlink" href="#node-administration" title="Permalink to this headline">¶</a></h1>
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<p>When a node is running, it exposes an embedded database server, an embedded web server that lets you monitor it,
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you can upload and download attachments, access a REST API and so on.</p>
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<div class="section" id="logging">
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<h2>Logging<a class="headerlink" href="#logging" title="Permalink to this headline">¶</a></h2>
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<p>In the default configuration logs are stored to the logs subdirectory of the node directory and are rotated from time to time. You can
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have logging printed to the console as well by passing the <code class="docutils literal"><span class="pre">--log-to-console</span></code> command line flag. Corda
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uses the SL4J logging façade which is configured with the log4j2 binding framework to manage its logging,
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so you can also configure it in more detail by writing a custom log4j2 logging configuration file and passing <code class="docutils literal"><span class="pre">-Dlog4j.configurationFile=my-config-file.xml</span></code>
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on the command line as well. The default configuration is copied during the build from <code class="docutils literal"><span class="pre">config/dev/log4j2.xml</span></code>, or for the test sourceSet from <code class="docutils literal"><span class="pre">config/test/log4j2.xml</span></code>.</p>
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<p>In corda code a logger is typically instantiated via the <code class="docutils literal"><span class="pre">net.corda.core.utilities.loggerFor</span></code> utility method which will create an SL4J <code class="docutils literal"><span class="pre">Logger</span></code> with a name based on the type parameter.
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Also, available in <code class="docutils literal"><span class="pre">net.corda.core.utilities</span></code>, are extension methods to take a lazily evaluated logging lambda for trace and debug level, which will not evaluate the lambda if the LogLevel threshold is higher.</p>
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</div>
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<div class="section" id="database-access">
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<h2>Database access<a class="headerlink" href="#database-access" title="Permalink to this headline">¶</a></h2>
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<p>The node exposes its internal database over a socket which can be browsed using any tool that can use JDBC drivers.
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The JDBC URL is printed during node startup to the log and will typically look like this:</p>
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<blockquote>
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<div><code class="docutils literal"><span class="pre">jdbc:h2:tcp://192.168.0.31:31339/node</span></code></div></blockquote>
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<p>The username and password can be altered in the <a class="reference internal" href="corda-configuration-file.html"><span class="doc">Node configuration</span></a> but default to username “sa” and a blank
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password.</p>
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<p>Any database browsing tool that supports JDBC can be used, but if you have IntelliJ Ultimate edition then there is
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a tool integrated with your IDE. Just open the database window and add an H2 data source with the above details.
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You will now be able to browse the tables and row data within them.</p>
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</div>
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<div class="section" id="monitoring-your-node">
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<h2>Monitoring your node<a class="headerlink" href="#monitoring-your-node" title="Permalink to this headline">¶</a></h2>
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<p>Like most Java servers, the node exports various useful metrics and management operations via the industry-standard
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<a class="reference external" href="https://en.wikipedia.org/wiki/Java_Management_Extensions">JMX infrastructure</a>. JMX is a standard API
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for registering so-called <em>MBeans</em> ... objects whose properties and methods are intended for server management. It does
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not require any particular network protocol for export. So this data can be exported from the node in various ways:
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some monitoring systems provide a “Java Agent”, which is essentially a JVM plugin that finds all the MBeans and sends
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them out to a statistics collector over the network. For those systems, follow the instructions provided by the vendor.</p>
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<p>Sometimes though, you just want raw access to the data and operations itself. So nodes export them over HTTP on the
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<code class="docutils literal"><span class="pre">/monitoring/json</span></code> HTTP endpoint, using a program called <a class="reference external" href="https://jolokia.org/">Jolokia</a>. Jolokia defines the JSON
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and REST formats for accessing MBeans, and provides client libraries to work with that protocol as well.</p>
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<p>Here are a few ways to build dashboards and extract monitoring data for a node:</p>
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<ul class="simple">
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<li><a class="reference external" href="https://github.com/logzio/jmx2graphite">JMX2Graphite</a> is a tool that can be pointed to /monitoring/json and will
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scrape the statistics found there, then insert them into the Graphite monitoring tool on a regular basis. It runs
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in Docker and can be started with a single command.</li>
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<li><a class="reference external" href="https://github.com/jmxtrans/jmxtrans">JMXTrans</a> is another tool for Graphite, this time, it’s got its own agent
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(JVM plugin) which reads a custom config file and exports only the named data. It’s more configurable than
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JMX2Graphite and doesn’t require a separate process, as the JVM will write directly to Graphite.</li>
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<li><em>Java Mission Control</em> is a desktop app that can connect to a target JVM that has the right command line flags set
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(or always, if running locally). You can explore what data is available, create graphs of those metrics, and invoke
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management operations like forcing a garbage collection.</li>
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<li>Cloud metrics services like New Relic also understand JMX, typically, by providing their own agent that uploads the
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data to their service on a regular schedule.</li>
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</ul>
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</div>
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<div class="section" id="uploading-and-downloading-attachments">
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<h2>Uploading and downloading attachments<a class="headerlink" href="#uploading-and-downloading-attachments" title="Permalink to this headline">¶</a></h2>
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<p>Attachments are files that add context to and influence the behaviour of transactions. They are always identified by
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hash and they are public, in that they propagate through the network to wherever they are needed.</p>
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<p>All attachments are zip files. Thus to upload a file to the ledger you must first wrap it into a zip (or jar) file. Then
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you can upload it by running this command from a UNIX terminal:</p>
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<div class="highlight-shell"><div class="highlight"><pre><span></span>curl -F <span class="nv">myfile</span><span class="o">=</span>@path/to/my/file.zip http://localhost:31338/upload/attachment
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</pre></div>
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</div>
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<p>The attachment will be identified by the SHA-256 hash of the contents, which you can get by doing:</p>
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<div class="highlight-shell"><div class="highlight"><pre><span></span>shasum -a <span class="m">256</span> file.zip
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</pre></div>
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</div>
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<p>on a Mac or by using <code class="docutils literal"><span class="pre">sha256sum</span></code> on Linux. Alternatively, the hash will be returned to you when you upload the
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attachment.</p>
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<p>An attachment may be downloaded by fetching:</p>
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<div class="highlight-shell"><div class="highlight"><pre><span></span>http://localhost:31338/attachments/DECD098666B9657314870E192CED0C3519C2C9D395507A238338F8D003929DE9
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</pre></div>
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</div>
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<p>where DECD... is of course replaced with the hash identifier of your own attachment. Because attachments are always
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containers, you can also fetch a specific file within the attachment by appending its path, like this:</p>
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<div class="highlight-shell"><div class="highlight"><pre><span></span>http://localhost:31338/attachments/DECD098666B9657314870E192CED0C3519C2C9D395507A238338F8D003929DE9/path/within/zip.txt
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</pre></div>
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</div>
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</div>
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<div class="section" id="uploading-interest-rate-fixes">
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<h2>Uploading interest rate fixes<a class="headerlink" href="#uploading-interest-rate-fixes" title="Permalink to this headline">¶</a></h2>
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<p>If you would like to operate an interest rate fixing service (oracle), you can upload fix data by uploading data in
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a simple text format to the <code class="docutils literal"><span class="pre">/upload/interest-rates</span></code> path on the web server.</p>
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<p>The file looks like this:</p>
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<div class="highlight-kotlin"><div class="highlight"><pre><span></span># Some pretend noddy rate fixes, for the interest rate oracles.
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LIBOR 2016-03-16 1M = 0.678
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LIBOR 2016-03-16 2M = 0.655
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EURIBOR 2016-03-15 1M = 0.123
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EURIBOR 2016-03-15 2M = 0.111
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</pre></div>
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</div>
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<p>The columns are:</p>
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<ul class="simple">
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<li>Name of the fix</li>
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<li>Date of the fix</li>
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<li>The tenor / time to maturity in days</li>
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<li>The interest rate itself</li>
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</ul>
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