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@ -22,7 +22,7 @@ You need to download this into the DSpace 6.x source and compile it
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<meta property="og:type" content="article" />
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<meta property="og:url" content="https://alanorth.github.io/cgspace-notes/2020-03/" />
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<meta property="article:published_time" content="2020-03-02T12:31:30+02:00" />
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<meta property="article:modified_time" content="2020-03-10T16:18:20+02:00" />
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<meta property="article:modified_time" content="2020-03-12T12:58:21+02:00" />
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<meta name="twitter:card" content="summary"/>
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<meta name="twitter:title" content="March, 2020"/>
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@ -39,7 +39,7 @@ You need to download this into the DSpace 6.x source and compile it
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"/>
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<meta name="generator" content="Hugo 0.67.0" />
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<meta name="generator" content="Hugo 0.67.1" />
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@ -49,9 +49,9 @@ You need to download this into the DSpace 6.x source and compile it
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"@type": "BlogPosting",
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"headline": "March, 2020",
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"url": "https:\/\/alanorth.github.io\/cgspace-notes\/2020-03\/",
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"wordCount": "1358",
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"wordCount": "1462",
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"datePublished": "2020-03-02T12:31:30+02:00",
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"dateModified": "2020-03-10T16:18:20+02:00",
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"dateModified": "2020-03-12T12:58:21+02:00",
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"author": {
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"@type": "Person",
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"name": "Alan Orth"
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@ -351,6 +351,24 @@ $ lein run /tmp/affiliations.csv name id
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<li>I always forget how to copy the reconciled values in OpenRefine, but you need to make a new column and populate it using this GREL: <code>if(cell.recon.matched, cell.recon.match.name, value)</code></li>
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<li>I mapped all 170 items to their appropriate collections based on type and uploaded them to CGSpace</li>
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</ul>
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<h2 id="2020-03-16">2020-03-16</h2>
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<ul>
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<li>I’m looking at the CPU usage of CGSpace (linode18) over the past year and I see we <em>rarely</em> even go over two CPUs on average sustained usage:</li>
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</ul>
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<p><img src="/cgspace-notes/2020/03/cgspace-cpu-year.png" alt="linode18 CPU usage year"></p>
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<ul>
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<li>Also clearly visible is the effect of CPU steal in 2019-03</li>
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</ul>
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<p><img src="/cgspace-notes/2020/03/cgspace-memory-year.png" alt="linode18 RAM usage year"></p>
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<p><img src="/cgspace-notes/2020/03/cgspace-heap-year.png" alt="linode18 JVM heap usage year"></p>
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<ul>
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<li>At max we have committed 10GB of RAM, the rest is used opportunistically by the filesystem cache, likely for Solr
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<ul>
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<li>There was a huge drop in 2019-07 when I changed the JVM settings</li>
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<li>I think we should re-evaluate our deployment and perhaps target a different instance type and add block storage for assetstore (as we determined Linode’s block storage to be too slow for Solr)</li>
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</ul>
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</li>
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</ul>
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