context.setNumOfThread(10);       // Concurrent threads
```

### Accessing Results

```java
DataService ds = container.getComponent("dataService");

// Count
int count = ds.getCount(sessionId);

// Get by URL
AccessResult result = ds.getAccessResult(sessionId, url);

// Iterate all
ds.iterate(sessionId, accessResult -> {
    System.out.println(accessResult.getUrl());

    elements.add(null);
    collection = getSubjectGenerator().create(elements.toArray());
    assertEquals(
        "A Set's hashCode() should be the sum of those of its elements (with "
            + "a null element counting as having a hash of zero).",
        expectedHashCode,
        getSet().hashCode());
  }

  /**
   * Returns the {@link Method} instances for the test methods in this class which call {@code

      Suppliers.ofInstance(
          new StatsCounter() {
            @Override
            public void recordHits(int count) {}

            @Override
            public void recordMisses(int count) {}

            @SuppressWarnings("GoodTime") // b/122668874
            @Override
            public void recordLoadSuccess(long loadTime) {}

    }

    /**
     * Gets the count of currently running crawler jobs.
     * This method queries the scheduled jobs to count active crawler processes.
     * Used to enforce maximum concurrent crawler limits.
     *
     * @return the number of currently running crawler jobs
     */
    protected int getRunningJobCount() {
        final AtomicInteger counter = new AtomicInteger(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:

                    return (int) misses.incrementAndGet();
                  }
                });

    // To start, fill up the cache.
    // Each miss both increments the counter and causes the map to grow by one,
    // so until evictions begin, the size of the map is the greatest return
    // value seen so far
    while (cache.getUnchecked(nextRandomKey()) < maximumSize) {}

    requests.set(0);

type healRoutine struct {
	tasks   chan healTask
	workers int
}

func activeListeners() int {
	// Bucket notification and http trace are not costly, it is okay to ignore them
	// while counting the number of concurrent connections
	return int(globalHTTPListen.Subscribers()) + int(globalTrace.Subscribers())
}

func waitForLowIO(maxIO int, maxWait time.Duration, currentIO func() int) {

  }

  private static class Counter<N extends Number> {
    @Keep List<N> counts;
  }

  public void testWildcardCaptured_typeVariableDeclaresTypeBound_wildcardHasNoExplicitUpperBound()
      throws Exception {
    TypeToken<Counter<?>> type = new TypeToken<Counter<?>>() {};
    TypeToken<?> fieldType =
        type.resolveType(Counter.class.getDeclaredField("counts").getGenericType());

            byte[] buf = BufferCache.getBuffer();
            BufferCache.releaseBuffer(buf);
        }

        // 3. Atomic Operations Test
        AtomicLong counter = new AtomicLong(0);
        for (int i = 0; i < 1000; i++) {
            counter.addAndGet(1024);
        }

        long end = System.nanoTime();
        double totalTimeMs = (end - start) / 1_000_000.0;

     *
     * @return the maximum duplicated path count
     */
    public int getMaxDuplicatedPath() {
        return maxDuplicatedPath;
    }

    /**
     * Sets the maximum number of duplicated paths to attempt.
     *
     * @param maxDuplicatedPath the maximum duplicated path count to set
     */
    public void setMaxDuplicatedPath(final int maxDuplicatedPath) {