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    <div class="moz-cite-prefix">On 04/17/2014 08:11 PM, guido lemoine
      wrote:<br>
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      So what do you use instead? Your data set is not exactly common
      (400+ Gb, 24 band doubles (complex data?), overlapping tiles,
      which are half empty). Is this LiDAR data? What exactly are you
      trying to visualise?
      <div><br>
        <div>We have little issue with postgis raster speed using
          multi-temporal, multi-frame, all bands Landsat-8, either in-db
          or out-db. </div>
        <div>Over 100 Gb by now. We prefer out-of-db, because it keeps
          the raster db of manageable size. We expect it to work up to
          Terrabyte limits (I am told I should use SciDB </div>
      </div>
    </blockquote>
    <br>
    when doing that, give rasdaman a try and compare then. It's
    operational on n-D multi-TB objects :)<br>
    -Peter<br>
    <br>
    <blockquote cite="mid:7440d80f30e6.53503584@jrc.ec.europa.eu"
      type="cite">
      <div>
        <div>beyond that). This works with mounted network disk as well,
          which is even nicer.</div>
        <div><br>
        </div>
        <div>GL</div>
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            <div><br>
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            <div>On 04/17/14, <b class="name">Rémi Cura </b>
              <a class="moz-txt-link-rfc2396E" href="mailto:remi.cura@gmail.com"><remi.cura@gmail.com></a> wrote:</div>
            <blockquote
cite="mid:CAJvUf_se+7kJw5M8fD+Wig3We6nkxVYPrm=odMs7+AZDinJMSA@mail.gmail.com"
              class="iwcQuote" style="border-left: 1px solid #00F;
              padding-left: 13px; margin-left: 0;" type="cite">
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                        <div>
                          <div>Hey,<br>
                            from what I tried PostGis Raster is
                            (relatively) slow and not adapted to multi
                            bands<br>
                          </div>
                          (for instance, no way to set multiple bands at
                          once. For my use case this would mean about
                          300k*0.1sec i.e. about 8 hours at best).<br>
                          <br>
                        </div>
                        The GDAL driver + QGIS should be considered an
                        experimental function at the moment, <br>
                        because it is still easily broken (and I'm
                        speaking cutting edge gdal + qgis v 2, 2.2, 2.3
                        on win and linux).<br>
                      </div>
                      <div>More generaly using QGIS with postgis is
                        easily broken (i restart qgis several dozen
                        times a day)<br>
                      </div>
                      <div><br>
                      </div>
                      <div>Taking that into consideration, <br>
                      </div>
                      My conclusion is that for the moment there is no
                      incentive to use __in base__ postgis raster, <br>
                    </div>
                    <div>because there is no stable way to access raster
                      from outside base.<br>
                      <br>
                    </div>
                    Sadly in my general use case, this translate to no
                    incentive to use postgis raster at all :-(<br>
                    <br>
                  </div>
                  Cheers,<br>
                  Rémi-C<br>
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                      <div><br>
                        <br>
                      </div>
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                <div class="gmail_extra"><br>
                  <br>
                  <div class="gmail_quote">2014-04-17 17:43 GMT+02:00
                    Tumasgiu Rossini <span dir="ltr"><<a class="moz-txt-link-abbreviated" href="mailto:rossini.t@gmail.com">rossini.t@gmail.com</a>
                      <a class="moz-txt-link-rfc2396E" href="mailto:rossini.t@gmail.com"><rossini.t@gmail.com></a>></span>:<br>
                    <blockquote class="gmail_quote" style="margin:0 0 0
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                          <div>Remi,<br>
                            <br>
                          </div>
                          I'm interested in the way you handled this
                          problem.<br>
                        </div>
                        <div><br>
                          In my opinion, the problem is on the duality
                          of your needs.<br>
                        </div>
                        <div>Out-db is known to be faster for
                          visualisation.<br>
                        </div>
                        <div>In-db is better for analysis.<br>
                          <br>
                        </div>
                        <div>So, a compromise should be made Maybe
                          storing each tile per "band type" ? So
                          accessing data from qgis would be less painful
                          ?<br>
                        </div>
                        <div><br>
                        </div>
                        <div>
                          <br>
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                      <div class="gmail_extra"><br>
                        <br>
                        <div class="gmail_quote">2014-03-10 10:54
                          GMT+01:00 Rémi Cura <span dir="ltr"><<a class="moz-txt-link-abbreviated" href="mailto:remi.cura@gmail.com">remi.cura@gmail.com</a>
                            <a class="moz-txt-link-rfc2396E" href="mailto:remi.cura@gmail.com"><remi.cura@gmail.com></a>></span>:<br>
                          <blockquote class="gmail_quote"
                            style="margin:0 0 0 .8ex;border-left:1px
                            #ccc solid;padding-left:1ex">
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                                                  <div>Hey Dear List,<br>
                                                    <br>
                                                  </div>
                                                  I would appreciate
                                                  some advice about the
                                                  best way to store my
                                                  raster :<br>
                                                  <br>
                                                </div>
                                                1 million tiles,<br>
                                              </div>
                                              50*50 pixels each (1 m2 or
                                              less in real world),
                                              around 24 bands (mostly
                                              doubles)<br>
                                            </div>
                                            <div>,in db.<br>
                                            </div>
                                            <div><br>
                                            </div>
                                            <div>About half the pixels
                                              are empty, some tiles
                                              overlaps, but most are
                                              regularly spaced.<br>
                                            </div>
                                            <div><br>
                                            </div>
                                            I would query it mainly by
                                            localisation (intersects),
                                            and also based on id of the
                                            tile.<br>
                                            <br>
                                          </div>
                                          <div>The use would be fast
                                            visualisation with qgis (and
                                            latest gdal), interpolation,
                                            classification, matching and
                                            so.<br>
                                          </div>
                                          <div><br>
                                          </div>
                                          What is the best strategy?<br>
                                        </div>
                                        1 table with many lines and
                                        indexes, indb,<br>
                                      </div>
                                      1 table, out db<br>
                                    </div>
                                    <div>1 table, 1 line<br>
                                    </div>
                                    multiple tables, heritage?<br>
                                    <br>
                                    <br>
                                  </div>
                                  <div>Thanks for inputs!<br>
                                  </div>
                                  Cheers,<br>
                                  <br>
                                  Rémi-C<br>
                                </div>
                                <br>
                              </div>
                            </div>
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                          </blockquote>
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                      <br>
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                    </blockquote>
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      <pre wrap="">_______________________________________________
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    </blockquote>
    <br>
    <pre class="moz-signature" cols="80">-- 
Dr. Peter Baumann
 - Professor of Computer Science, Jacobs University Bremen
   <a class="moz-txt-link-abbreviated" href="http://www.faculty.jacobs-university.de/pbaumann">www.faculty.jacobs-university.de/pbaumann</a>
   mail: <a class="moz-txt-link-abbreviated" href="mailto:p.baumann@jacobs-university.de">p.baumann@jacobs-university.de</a>
   tel: +49-421-200-3178, fax: +49-421-200-493178
 - Executive Director, rasdaman GmbH Bremen (HRB 26793)
   <a class="moz-txt-link-abbreviated" href="http://www.rasdaman.com">www.rasdaman.com</a>, mail: <a class="moz-txt-link-abbreviated" href="mailto:baumann@rasdaman.com">baumann@rasdaman.com</a>
   tel: 0800-rasdaman, fax: 0800-rasdafax, mobile: +49-173-5837882
"Si forte in alienas manus oberraverit hec peregrina epistola incertis ventis dimissa, sed Deo commendata, precamur ut ei reddatur cui soli destinata, nec preripiat quisquam non sibi parata." (mail disclaimer, AD 1083)


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