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<!DOCTYPE html>
<html lang="en-US">
<head>
<title>dataset</title>
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<header>
<a href="https://library.caltech.edu"><img src="https://media.library.caltech.edu/assets/caltechlibrary-logo.png" alt="Caltech Library logo"></a>
</header>
<nav>
<ul>
<li><a href="/">Home</a></li>
<li><a href="index.html">README</a></li>
<li><a href="LICENSE">LICENSE</a></li>
<li><a href="INSTALL.html">INSTALL</a></li>
<li><a href="user_manual.html">User Manual</a></li>
<li><a href="about.html">About</a></li>
<li><a href="search.html">Search</a></li>
<li><a href="https://github.com/caltechlibrary/dataset">GitHub</a></li>
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<section>
<h1 id="compatibity">Compatibity</h1>
<p>AS of 2.2.7 the features around frames is no longer going to be
supported. I practice the SQL query support replaced it. Also cloning
and samples have been replace by SQL query support and the new “dump”
and “load” feature.</p>
<p>As of 2.2.0 you can “dump” and “load” are availabe to create a
portable export and import using JSON lines.</p>
<p>As of 2.2.0 the default Dataset collection uses SQLite3 databases for
the JSON document store. As of 2.2.1 all tests are passing again with
this change.</p>
<p>As of 2.2.1 dataset cli now supports dump and load verbs. This allows
a fast way to export/import an entire dataset collection as a JSONL
stream. This will likely replace cloning in the future which is
considerably slower.</p>
<p>As of 2.2.2 libdataset is no longer available. The pain of compiling
native DLL was too high. The Dataset Project provides <a
href="datasetd.1.html">datasetd</a> which exposes Dataset Collections as
a JSON API and web service. This is available to any language that
support http access. Of course you can also shell out to the cli. You
have lots of option.</p>
<p><a href="https://github.com/caltechlibrary/ts_dataset">ts_dataset</a>
is a go example of writing a wrapper around the datasetd API.</p>
</section>
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