* only the documents from the current session.
         *
         * <p>The deletion process:</p>
         * <ul>
         *   <li>Checks if old document deletion is enabled</li>
         *   <li>Builds a query to find old documents for this configuration</li>
         *   <li>Optionally preserves expired documents based on configuration</li>
         *   <li>Executes the deletion query against the search engine</li>

You could have a proxy that adds a path prefix to your application.

In these cases you can use `root_path` to configure your application.

The `root_path` is a mechanism provided by the ASGI specification (that FastAPI is built on, through Starlette).

The `root_path` is used to handle these specific cases.

And it's also used internally when mounting sub-applications.

Here we'll see an example using <a href="https://sqlmodel.tiangolo.com/" class="external-link" target="_blank">SQLModel</a>.

**SQLModel** is built on top of <a href="https://www.sqlalchemy.org/" class="external-link" target="_blank">SQLAlchemy</a> and Pydantic. It was made by the same author of **FastAPI** to be the perfect match for FastAPI applications that need to use **SQL databases**.

      return "CharSource.wrap(" + Ascii.truncate(seq, 30, "...") + ")";
    }
  }

  /**
   * Subclass specialized for string instances.
   *
   * <p>Since Strings are immutable and built into the jdk we can optimize some operations
   *
   * <ul>
   *   <li>use {@link StringReader} instead of {@link CharSequenceReader}. It is faster since it can

      return "CharSource.wrap(" + Ascii.truncate(seq, 30, "...") + ")";
    }
  }

  /**
   * Subclass specialized for string instances.
   *
   * <p>Since Strings are immutable and built into the jdk we can optimize some operations
   *
   * <ul>
   *   <li>use {@link StringReader} instead of {@link CharSequenceReader}. It is faster since it can

### **4.2 WordCount**

WordCount is a simple program that counts how often a word occurs in a text file. The code builds a dataset of (String, Int) pairs called counts, and saves the dataset to a file.

The following example submits WordCount code to the Scala shell. Select an input file for the Spark WordCount example. We can use any text file as input.

pkg debug/dwarf, method (*Reader) ByteOrder() binary.ByteOrder
pkg encoding/asn1, const TagBMPString = 30
pkg encoding/asn1, const TagBMPString ideal-int
pkg encoding/json, method (*Decoder) InputOffset() int64
pkg go/build, type Context struct, Dir string
pkg go/doc, func NewFromFiles(*token.FileSet, []*ast.File, string, ...interface{}) (*Package, error)
pkg go/doc, type Example struct, Suffix string
pkg go/doc, type Func struct, Examples []*Example

import com.google.common.primitives.Longs;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * Tests for {@link StatsAccumulator}. This tests the stats methods for instances built with {@link
 * StatsAccumulator#add} and {@link StatsAccumulator#addAll}, and various error cases of the {@link
 * StatsAccumulator#add} and {@link StatsAccumulator#addAll} methods. For tests of the {@link

 * reentrant, so a thread may enter a monitor any number of times, and then must leave the same
 * number of times. The <i>enter</i> and <i>leave</i> operations have the same synchronization
 * semantics as the built-in Java language synchronization primitives.
 *
 * <p>A call to any of the <i>enter</i> methods with <b>void</b> return type should always be

 *   <li>Streams offer many features not found here, including {@code min/max}, {@code distinct},
 *       {@code reduce}, {@code sorted}, the very powerful {@code collect}, and built-in support for
 *       parallelizing stream operations.
 *   <li>{@code FluentIterable} contains several features not available on {@code Stream}, which are
 *       noted in the method descriptions below.