ByteSource source = out.asByteSource();
    int chunk1 = min(dataSize, fileThreshold);
    int chunk2 = dataSize - chunk1;

    // Write just enough to not trip the threshold
    if (chunk1 > 0) {
      write(out, data, 0, chunk1, singleByte);
      assertTrue(ByteSource.wrap(data).slice(0, chunk1).contentEquals(source));
    }
    File file = out.getFile();
    assertNull(file);

* `kubectl get` will by default fetch large lists of resources in chunks of up to 500 items rather than requesting all resources up front from the server. This reduces the perceived latency of managing large clusters since the server returns the first set of results to the client much more quickly.  A new flag `--chunk-size=SIZE` may be used to alter the number of items or disable this feature when `0` is passed.  This is a beta feature. (...

    ByteSource source = out.asByteSource();
    int chunk1 = min(dataSize, fileThreshold);
    int chunk2 = dataSize - chunk1;

    // Write just enough to not trip the threshold
    if (chunk1 > 0) {
      write(out, data, 0, chunk1, singleByte);
      assertTrue(ByteSource.wrap(data).slice(0, chunk1).contentEquals(source));
    }
    File file = out.getFile();
    assertNull(file);

The Kubernetes API server now supports the ability to break large LIST calls into multiple smaller chunks. A client can specify a limit to the number of results to return. If more results exist, a token is returned that allows the client to continue the previous list call repeatedly until all results are retrieved.  The resulting list is identical to a list call that does not perform chunking, thanks to capabilities provided by etcd3.  This allows the server to use less memory and CPU when very large...

	if err == io.EOF && size != 0 {
		err = io.ErrUnexpectedEOF
	}
	if err != nil && err != io.EOF {
		cr.err = err
		return n, cr.err
	}

	// If the chunk size is zero we return io.EOF. As specified by AWS,
	// only the last chunk is zero-sized.
	if len(cr.buffer) == 0 {
		if cr.debug {
			fmt.Println("EOF")
		}
		if cr.trailers != nil {
			err = cr.readTrailers()
			if cr.debug {

    int index = element.ordinal();
    int oldCount = counts[index];
    counts[index] = count;
    size += count - oldCount;
    if (oldCount == 0 && count > 0) {
      distinctElements++;
    } else if (oldCount > 0 && count == 0) {
      distinctElements--;
    }
    return oldCount;
  }

  @Override
  public void clear() {
    Arrays.fill(counts, 0);
    size = 0;
    distinctElements = 0;
  }

file: org.apache.spark.rdd.RDD[String] = s3a://testbucket/testdata MapPartitionsRDD[1] at textFile at <console>:24

scala> val counts = file.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey(_ + _)
counts: org.apache.spark.rdd.RDD[(String, Int)] = ShuffledRDD[4] at reduceByKey at <console>:25

scala> counts.saveAsTextFile("s3a://testbucket/wordcount")
```

Use one of the following approaches to view job output:

/**
 * GroupPager provides pagination functionality for group management operations in Fess.
 * This class manages the state and metadata required for paginated display of group lists,
 * including page navigation, record counts, and search criteria.
 *
 */
public class GroupPager implements Serializable {

    /** Serial version UID for serialization compatibility. */
    private static final long serialVersionUID = 1L;

  - type: markdown
    attributes:
      value: |
        Thanks for your interest in helping translate the FastAPI docs! 🌍

        Please follow these instructions carefully to propose a new language translation. 🙏

        This structured process helps ensure translations can be properly maintained long-term.
  - type: checkboxes
    id: checks
    attributes:
      label: Initial Checks

/**
 * Response object for faceted search results containing query counts and field facets.
 * This class processes OpenSearch aggregations to provide structured facet information
 * for search result filtering and navigation.
 */
public class FacetResponse {
    /**
     * Map containing query facet counts, where keys are decoded query strings
     * and values are document counts for each query.
     */