slowCh <- obj
						continue
					}

					batch = append(batch, obj.Item)

					if len(batch) < *r.Source.Snowball.Batch {
						continue
					}
					writeFn(batch)
					batch = batch[:0]
				}
				writeFn(batch)
				xioutil.SafeClose(slowCh)
			}()
		} else {
			slowCh = walkCh
		}

the scanner will sleep *10x* the time each operation takes.

In most setups this will keep the scanner slow enough to not impact overall system performance. Setting the `delay` key to a *lower* value will make the scanner faster and setting it to 0 will make the scanner run at full speed (not recommended in production). Setting it to a higher value will make the scanner slower, consuming less resources with the trade off of not collecting metrics for operations like healing and disk usage...

              // If this check ever fails, that means we need to either bump the
              // number of expected insertions or don't run the test for so long.
              // Don't forget, the bloom filter slowly saturates over time and the
              // expected false positive probability goes up!
              assertThat(bloomFilter.expectedFpp()).isLessThan(safetyFalsePositiveRate);

import okhttp3.testing.PlatformRule
import org.junit.jupiter.api.AfterEach
import org.junit.jupiter.api.Tag
import org.junit.jupiter.api.Test
import org.junit.jupiter.api.extension.RegisterExtension

@Tag("Slowish")
class EventSourcesHttpTest {
  @RegisterExtension
  val platform = PlatformRule()

  @StartStop
  private val server = MockWebServer()

  @RegisterExtension
  val clientTestRule = OkHttpClientTestRule()

              // If this check ever fails, that means we need to either bump the
              // number of expected insertions or don't run the test for so long.
              // Don't forget, the bloom filter slowly saturates over time and the
              // expected false positive probability goes up!
              assertThat(bloomFilter.expectedFpp()).isLessThan(safetyFalsePositiveRate);

* `compresslevel` - Used during GZip compression. It is an integer ranging from 1 to 9. Defaults to `9`. Lower value results in faster compression but larger file sizes, while higher value results in slower compression but smaller file sizes.

## Other middlewares { #other-middlewares }

There are many other ASGI middlewares.

For example:

import org.junit.jupiter.api.AfterEach
import org.junit.jupiter.api.BeforeEach
import org.junit.jupiter.api.Tag
import org.junit.jupiter.api.Test
import org.junit.jupiter.api.extension.RegisterExtension

@Tag("Slowish")
class ThreadInterruptTest {
  @RegisterExtension
  val platform = PlatformRule()

  @RegisterExtension
  val clientTestRule = OkHttpClientTestRule()
  private lateinit var server: MockWebServer

    }
  }

  @AndroidIncompatible // slow
  @GwtIncompatible // TODO
  public void testSaturatedAdd() {
    for (long a : ALL_LONG_CANDIDATES) {
      for (long b : ALL_LONG_CANDIDATES) {
        assertOperationEquals(
            a, b, "s+", saturatedCast(valueOf(a).add(valueOf(b))), LongMath.saturatedAdd(a, b));
      }
    }
  }

  @AndroidIncompatible // slow
  @GwtIncompatible // TODO

    }
  }

  @AndroidIncompatible // slow
  @GwtIncompatible // TODO
  public void testSaturatedAdd() {
    for (int a : ALL_INTEGER_CANDIDATES) {
      for (int b : ALL_INTEGER_CANDIDATES) {
        assertOperationEquals(
            a, b, "s+", saturatedCast(valueOf(a).add(valueOf(b))), IntMath.saturatedAdd(a, b));
      }
    }
  }

  @AndroidIncompatible // slow
  @GwtIncompatible // TODO

* **Starlette**:
    * Will have the next best performance, after Uvicorn. In fact, Starlette uses Uvicorn to run. So, it probably can only get "slower" than Uvicorn by having to execute more code.
    * But it provides you the tools to build simple web applications, with routing based on paths, etc.