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<p>Hello Gustavo,</p>
<p>I'd suggest the way you mentioned: to "mount" the data as a
midPoint resource, and run a (potentially multithreaded) import
operation. <br>
</p>
<p>With temporarily turning off all unnecessary processing (like
notifications).</p>
<p>Alternatively, you could import the users into midPoint in raw
mode (from XML, preferably in batches), and then recompute them in
order for accounts to be created. But I would use this way only if
the first one wouldn't work adequately.</p>
<pre class="moz-signature" cols="72">Pavol Mederly
Software developer
evolveum.com
</pre>
<div class="moz-cite-prefix">On 06.01.2017 19:08, Gustavo J Gallardo
wrote:<br>
</div>
<blockquote
cite="mid:CAA68kP_Po=2sA1GzRLuRhiMYS5QGBgMrLHHmdnTXMfFC3ELwAQ@mail.gmail.com"
type="cite">
<div dir="ltr">Hi All,
<div>we need to import a massive amount of students (~3.5
million) into midpoint, to be provisioned to LDAP and then
Google Apps. Then we have to add a multivalued attribute that
will sync to LDAP.</div>
<div><br>
</div>
<div><b>Which is the recommended way to do this type of
operations</b>, trying to maximize speed?</div>
<div>It can be some sort of manual process, and then have
another type of process for the deltas during the year.</div>
<div><br>
</div>
<div>Initially we had scripts parsing a CSV file, calling the
REST API.</div>
<div>Now we have a couple of database tables with a resource,
but we are having performance issues and limitations (will ask
on those in a separate thread).</div>
<div><br>
</div>
<div><br>
</div>
<div>Thanks,<br>
</div>
<div><br>
</div>
<div>Gustavo</div>
</div>
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</pre>
</blockquote>
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