}
  }

  private void checkStackTrace(ExecutionException e) {
    // Our call site for get() should be in the trace.
    int index = findStackFrame(e, getClass().getName(), "getExpectingExecutionException");

    assertThat(index).isNotEqualTo(0);

    // Above our method should be the call to get(). Don't assert on the class
    // because it could be some superclass.

  }

  /**
   * This test will fail whenever someone updates/reorders the BloomFilterStrategies constants. Only
   * appending a new constant is allowed.
   */
  // This test ensures that our reliance on the ordering elsewhere is safe.
  @SuppressWarnings("EnumOrdinal")
  public void testBloomFilterStrategies() {
    assertThat(BloomFilterStrategies.values()).hasLength(2);

After installing Hive, Hadoop and Spark successfully, we can now proceed to run some sample applications to see if they are configured appropriately.  We can use Spark Pi and Spark WordCount programs to validate our Spark installation. We can also explore how to run Spark jobs from the command line and Spark shell.

### **4.1 Spark Pi**

     * it returns a subclass of Joiner that overrides this method to tolerate null inputs.
     *
     * Unfortunately, we don't distinguish between these two cases in our public API: Joiner.on(...)
     * and Joiner.on(...).useForNull(...) both declare the same return type: plain Joiner. To ensure
     * that users *can* pass null arguments to Joiner, we annotate it as if it always tolerates null

  }

  /**
   * This test will fail whenever someone updates/reorders the BloomFilterStrategies constants. Only
   * appending a new constant is allowed.
   */
  // This test ensures that our reliance on the ordering elsewhere is safe.
  @SuppressWarnings("EnumOrdinal")
  public void testBloomFilterStrategies() {
    assertThat(BloomFilterStrategies.values()).hasLength(2);

  public final Object[] toArray() {
    return toArray(EMPTY_ARRAY);
  }

  @CanIgnoreReturnValue
  @Override
  /*
   * This suppression is here for two reasons:
   *
   * 1. b/192354773 in our checker affects toArray declarations.
   *
   * 2. `other[size] = null` is unsound. We could "fix" this by requiring callers to pass in an

	}
	c := cap(b.buf)
	if n <= c/2-m {
		// We can slide things down instead of allocating a new
		// slice. We only need m+n <= c to slide, but
		// we instead let capacity get twice as large so we
		// don't spend all our time copying.
		copy(b.buf, b.buf[b.off:])
	} else if c > maxInt-c-n {
		panic(ErrTooLarge)
	} else {
		// Add b.off to account for b.buf[:b.off] being sliced off the front.
		b.buf = growSlice(b.buf[b.off:], b.off+n)

     * fit comfortably within a single ethernet packet (1500 bytes) even with framing overhead.
     *
     * For tests this must be big enough to realize real compression on test messages like
     * 'aaaaaaaaaa...'. Our tests check if compression was applied just by looking at the size if
     * the inbound buffer.
     */
    const val DEFAULT_MINIMUM_DEFLATE_SIZE = 1024L
  }

			dec, err := decrypt(oi.Parts[firstPartIdx].Index)
			if err == nil {
				// Load Index
				var idx s2.Index
				_, err := idx.Load(s2.RestoreIndexHeaders(dec))

				// Find compressed/uncompressed offsets of our partskip
				compOff, uCompOff, err2 := idx.Find(partSkip)

				if err == nil && err2 == nil && compOff > 0 {
					// Encrypted.
					const sseDAREEncPackageBlockSize = SSEDAREPackageBlockSize + SSEDAREPackageMetaSize

            if (wasEmpty) {
              notifyAll()
            }
          }
        }
      }

      // Update the connection flow control, as this is a shared resource.
      // Even if our stream doesn't need more data, others might.
      // But delay updating the stream flow control until that stream has been
      // consumed
      updateConnectionFlowControl(byteCount)