## Install `SQLModel` { #install-sqlmodel }

First, make sure you create your [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then install `sqlmodel`:

<div class="termy">

```console
$ pip install sqlmodel
---> 100%
```

</div>

## Create the App with a Single Model { #create-the-app-with-a-single-model }

      any Contribution intentionally submitted for inclusion in the Work
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6. Trademarks.

      any Contribution intentionally submitted for inclusion in the Work
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      any Contribution intentionally submitted for inclusion in the Work
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        WildcardQuery wildcardQuery = new WildcardQuery(new Term("title", "test*"));

        QueryBuilder queryBuilder = queryCommand.execute(queryContext, wildcardQuery, 1.0f);
        assertNotNull(queryBuilder);
    }

    public void test_execute_withNonWildcardQuery() {
        QueryContext queryContext = new QueryContext("test", false);
        TermQuery termQuery = new TermQuery(new Term("title", "test"));

        try {

   * A sensible definition of {@link #clear} in terms of the {@code iterator} method of {@link
   * #entrySet}. In many cases, you may wish to override {@link #clear} to forward to this
   * implementation.
   *
   * @since 7.0
   */
  protected void standardClear() {
    Iterators.clear(entrySet().iterator());
  }

  /**
   * A sensible implementation of {@link Map#keySet} in terms of the following methods: {@link

  protected abstract NavigableSet<E> delegate();

  @Override
  public @Nullable E lower(@ParametricNullness E e) {
    return delegate().lower(e);
  }

  /**
   * A sensible definition of {@link #lower} in terms of the {@code descendingIterator} method of
   * {@link #headSet(Object, boolean)}. If you override {@link #headSet(Object, boolean)}, you may
   * wish to override {@link #lower} to forward to this implementation.
   */

 *   <li>Optionally removing duplicate terms based on a flag.</li>
 *   <li>Limiting the maximum size of alphanumeric and symbol terms.</li>
 * </ul>
 *
 * <p>The {@link TextNormalizeContext} class provides a fluent API to configure the text
 * normalization process, including setting initial buffer capacity, maximum term sizes,
 * duplicate term removal, and custom space characters.
 *
 * <p>Example usage: