Dataset_Construction/projects/iceberg/java/site/overrides/home.html

{% extends "main.html" %} 

{% block tabs %}
  {{ super() }} 

  <link
    href="assets/stylesheets/termynal.css"
    rel="stylesheet"
  />
  
  <!-- disable side bars for home page -->
  <style>
    /* Hide main content for now */
    .md-content {
      display: none;
    }

    /* Hide table of contents */
    @media screen and (min-width: 60em) {
      .md-sidebar--secondary {
        display: none;
      }
    }

    /* Hide navigation */
    @media screen and (min-width: 76.25em) {
      .md-sidebar--primary {
        display: none;
      }
    }
  </style>
  <section class="mdx-container">
    <div class="container">
      <div class="d-flex flex-row">
        <div class="col-lg-12">
          <div class="intro-message">
            <h1>Apache Iceberg</h1>
            <h3>The open table format for analytic datasets.</h3>
            <hr class="intro-divider" />
              <ul class="list-inline intro-social-buttons">
                {% for social in config.extra.social %}
                <li>
                  <a class="btn btn-default btn-lg" href="{{ social.link }}" target="_blank">
                    <span class="fa fa-fw">
                      {% include ".icons/" ~ social.icon ~ ".svg" %}
                    </span>
                    <span class="network-name">{{ social.title }}</span>
                  </a>
                </li>
              {% endfor %}
             </ul>
          </div>
        </div>
      </div>
    </div>
  </section>
  
  <section id="about">
    <div class="container">
      <div class="d-flex flex-row">
        <div class="col-lg-2"></div>
        <div class="col-lg-8">
          <br /><br />
          <h2>What is Iceberg?</h2>
          <br />
  
          <p>
            Iceberg is a high-performance format for huge analytic tables. Iceberg
            brings the reliability and simplicity of SQL tables to big data, while
            making it possible for engines like Spark, Trino, Flink, Presto, Hive
            and Impala to safely work with the same tables, at the same time.
          </p>
          <div class="button-box">
            <ul class="list-inline intro-social-buttons">
              <li>
                <a href="./spark-quickstart" class="btn btn-default btn-lg">
                  <span class="network-name">Learn More</span>
                </a>
              </li>
              <ul></ul>
            </ul>
          </div>
          <br />
        </div>
      </div>
    </div>
  </section>
  
  <section id="services ">
    <div class="content-section-a">
      <div class="container">
        <div class="d-flex flex-column flex-lg-row justify-content-around">
          <div class="col-lg-5 col-sm-6 d-flex flex-column">
            <hr class="section-heading-spacer" />
            <div class="clearfix"></div>
            <h2 class="section-heading">Expressive SQL</h2>
            <p>
              Iceberg supports flexible SQL commands to merge new data, update
              existing rows, and perform targeted deletes. Iceberg can eagerly
              rewrite data files for read performance, or it can use delete deltas
              for faster updates.
            </p>
  
            <ul class="list-inline intro-social-buttons">
              <li>
                <a href="./docs/latest/spark-writes/" class="btn btn-default btn-lg">
                  <span class="network-name">Learn More</span>
                </a>
              </li>
            </ul>
          </div>
          <div class="col-lg-5 col-lg col-sm-6">
            <div id="termynal-expressive-sql"
              data-termynal=""
              data-ty-startdelay="2000"
              data-ty-typedelay="20"
              data-ty-linedelay="500"
              style="width: 445px; min-height: 338.5px">
  
              <span data-ty="input" data-ty-prompt="sql>">MERGE INTO prod.nyc.taxis pt
              </span>
              <span data-ty="input" data-ty-prompt="">USING (SELECT * FROM staging.nyc.taxis) st
              </span>
              <span data-ty="input" data-ty-prompt="">ON pt.id = st.id
              </span>
              <span data-ty="input" data-ty-prompt="">WHEN NOT MATCHED THEN INSERT *;
              </span>
              <span data-ty="">Done!</span>
              <span data-ty="input" data-ty-prompt="sql>"></span>
  
            </div>
          </div>
        </div>
      </div>
    </div>
    <div class="content-section-b">
      <div class="container">
        <div class="d-flex flex-column flex-lg-row-reverse justify-content-around">
          <div class="col-lg-5 col-lg-offset-1 col-sm-push-6 d-flex flex-column">
            <hr class="section-heading-spacer" />
            <div class="clearfix"></div>
            <h2 class="section-heading">Full Schema Evolution</h2>
            <p>
              Schema evolution just works. Adding a column won't bring back
              "zombie" data. Columns can be renamed and reordered. Best of all,
              schema changes never require rewriting your table.
            </p>
  
            <ul class="list-inline intro-social-buttons">
              <li>
                <a href="./docs/latest/evolution/" class="btn btn-default btn-lg">
                  <span class="network-name">Learn More</span>
                </a>
              </li>
            </ul>
          </div>
          <div class="col-lg-5 col-sm-pull-6 col-sm-6">
            <div id="termynal"
              data-termynal=""
              data-ty-startdelay="4000"
              data-ty-typedelay="20"
              data-ty-linedelay="500"
              style="width: 445px; min-height: 484.5px">
  
              <span data-ty="input" data-ty-prompt="sql>">ALTER TABLE taxis
              </span>
              <span data-ty="input" data-ty-prompt="">ALTER COLUMN trip_distance
              </span>
              <span data-ty="input" data-ty-prompt="" data-ty-delay="2500">TYPE double;
              </span>
              <span data-ty="">Done!</span>
  
              <span data-ty="input" data-ty-prompt="sql>">ALTER TABLE taxis
              </span>
              <span data-ty="input" data-ty-prompt="">ALTER COLUMN trip_distance
              </span>
              <span data-ty="input" data-ty-prompt="">AFTER fare;
              </span>
              <span data-ty="">Done!</span>
  
              <span data-ty="input" data-ty-prompt="sql>">ALTER TABLE taxis
              </span>
              <span data-ty="input" data-ty-prompt="">RENAME COLUMN trip_distance
              </span>
              <span data-ty="input" data-ty-prompt="">TO distance;
              </span>
              <span data-ty="">Done!</span>
  
            </div>
          </div>
        </div>
      </div>
    </div>
    <div class="content-section-a">
      <div class="container">
        <div class="d-flex flex-column flex-lg-row justify-content-around">
          <div class="col-lg-5 col-sm-12 d-flex flex-column">
            <hr class="section-heading-spacer" />
            <div class="clearfix"></div>
            <h2 class="section-heading">Hidden Partitioning</h2>
            <p>
              Iceberg handles the tedious and error-prone task of producing
              partition values for rows in a table and skips unnecessary
              partitions and files automatically. No extra filters are needed for
              fast queries, and table layout can be updated as data or queries
              change.
            </p>
  
            <ul class="list-inline intro-social-buttons">
              <li>
                <a href="./docs/latest/partitioning/#icebergs-hidden-partitioning" class="btn btn-default btn-lg">
                  <span class="network-name">Learn More</span>
                </a>
              </li>
            </ul>
          </div>
          <div class="col-lg-5 col-lg col-sm-12">
            <script src="assets/javascript/lottie-player.js"></script>
            <lottie-player src="assets/lottie/hidden-partitioning-animation.json"
              background="transparent"
              speed="0.5"
              style="width: 430px; height: 400px"
              loop=""
              autoplay="">
            </lottie-player>
          </div>
        </div>
      </div>
    </div>
    <div class="content-section-b">
      <div class="container">
        <div class="d-flex flex-column flex-lg-row-reverse justify-content-around">
          <div class="col-lg-5 col-lg-offset-1 col-sm-push-6 d-flex flex-column">
            <hr class="section-heading-spacer" />
            <div class="clearfix"></div>
            <h2 class="section-heading">Time Travel and Rollback</h2>
            <p>
              Time-travel enables reproducible queries that use exactly the same
              table snapshot, or lets users easily examine changes. Version
              rollback allows users to quickly correct problems by resetting
              tables to a good state.
            </p>
  
            <ul class="list-inline intro-social-buttons">
              <li>
                <a href="./docs/latest/spark-queries/#time-travel" class="btn btn-default btn-lg">
                  <span class="network-name">Learn More</span>
                </a>
              </li>
            </ul>
          </div>
          <div class="col-lg-5 col-sm-pull-6">
            <div class="termynal-container">
              <div id="termynal-time-travel"
                data-termynal=""
                data-ty-startdelay="6000"
                data-ty-typedelay="20"
                data-ty-linedelay="500"
                style="width: 445px; min-height: 391.9px">
  
                <span data-ty="input" data-ty-prompt="sql>">SELECT count(*) FROM nyc.taxis
                </span>
                <span data-ty="">2,853,020</span>
  
                <span data-ty="input" data-ty-prompt="sql>">SELECT count(*) FROM nyc.taxis FOR VERSION AS OF 2188465307835585443
                </span>
                <span data-ty="">2,798,371</span>
                <span data-ty="input" data-ty-prompt="sql>">SELECT count(*) FROM nyc.taxis FOR TIMESTAMP AS OF TIMESTAMP '2022-01-01 00:00:00.000000 Z'
                </span>
                <span data-ty="">2,798,371</span>
  
              </div>
            </div>
          </div>
        </div>
      </div>
    </div>
    <div class="content-section-a">
      <div class="container">
        <div class="d-flex flex-column flex-lg-row justify-content-around">
          <div class="col-lg-5 d-flex flex-column">
            <hr class="section-heading-spacer" />
            <div class="clearfix"></div>
            <h2 class="section-heading">Data Compaction</h2>
            <p>
              Data compaction is supported out-of-the-box and you can choose from
              different rewrite strategies such as bin-packing or sorting to
              optimize file layout and size.
            </p>
          </div>
          <div class="col-lg-5 col-lg">
            <div id="termynal-data-compaction"
              data-termynal=""
              data-ty-startdelay="8000"
              data-ty-typedelay="20"
              data-ty-linedelay="500"
              style="width: 445px; min-height: 192.7px">
  
              <span data-ty="input" data-ty-prompt="sql>">CALL system.rewrite_data_files("nyc.taxis");
              </span>
  
            </div>
          </div>
        </div>
      </div>
    </div>
  </section>
  
  <script
    src="assets/javascript/termynal.js"
    data-termynal-container="#termynal|#termynal-data-compaction|#termynal-expressive-sql|#termynal-time-travel">
  </script>
{% endblock %}

{% block content %}
  {{ super() }} 
{% endblock %}