callback.assertTextMessage("Hello")
  }

  @Test fun clientTwoFrameHelloWithPongs() {
    data.write("010348656c".decodeHex()) // Hel
    data.write("8a00".decodeHex()) // Pong
    data.write("8a00".decodeHex()) // Pong
    data.write("8a00".decodeHex()) // Pong
    data.write("8a00".decodeHex()) // Pong
    data.write("80026c6f".decodeHex()) // lo
    clientReader.processNextFrame()
    callback.assertPong(EMPTY)

  @Test
  fun largeRead() {
    val data = randomByteString(1000000)
    write(data)
    val operator =
      FileOperator(
        randomAccessFile!!.getChannel(),
      )
    val buffer = Buffer()
    operator.read(0, buffer, data.size.toLong())
    assertThat(buffer.readByteString()).isEqualTo(data)
  }

  @Test
  fun largeWrite() {
    val data = randomByteString(1000000)
    val operator =

    `JSONResponse` itself is a sub-class of `Response`.

And when you return a `Response`, **FastAPI** will pass it directly.

It won't do any data conversion with Pydantic models, it won't convert the contents to any type, etc.

This gives you a lot of flexibility. You can return any data type, override any data declaration or validation, etc.

## Using the `jsonable_encoder` in a `Response`

Lambda

MinIO's Object Lambda implementation allows for transforming your data to serve unique data format requirements for each application. For example, a dataset created by an ecommerce application might include personally identifiable information (PII). When the same data is processed for analytics, PII should be redacted. However, if the same dataset is used for a marketing campaign, you might need to enrich the data with additional details, such as information from the customer loyalty database....

    drainCancelQueue(eventSource)
  }

  override fun onEvent(
    eventSource: EventSource,
    id: String?,
    type: String?,
    data: String,
  ) {
    get().log("[ES] onEvent", Platform.INFO, null)
    events.add(Event(id, type, data))
    drainCancelQueue(eventSource)
  }

  override fun onClosed(eventSource: EventSource) {
    get().log("[ES] onClosed", Platform.INFO, null)

(A SQL separator is semicolon ";")

take-finally-*.sql:
SQL statements for check loaded data (or DDL after data loading)
You should write your own SQL statements in this file.
(basically same specifications as replace-schema.sql)

The "data" directory is for data loading like this:
/- - - - - - - - - - - - - - - - - - - -
playsql
  |-data
     |-common
     |  |-xls
     |     |-10-master.xls
     |     |-defaultValueMap.dataprop

### Remotely Inspecting backend data

Traditional retrieval of objects is always as whole entities, i.e GetObject for a 5 GiB object, will always return 5 GiB of data. S3 Select API allows us to retrieve a subset of data by using simple SQL expressions. By using Select API to retrieve only the data needed by the application, drastic performance improvements can be achieved.

You can use the Select API to query objects with following features:

import kotlin.reflect.KType

data class HLDiagnostic(
    val original: DiagnosticData,
    val severity: Severity?,
    val className: String,
    val implClassName: String,
    val parameters: List<HLDiagnosticParameter>,
)

data class HLDiagnosticList(val diagnostics: List<HLDiagnostic>)

data class HLDiagnosticParameter(
    val original: DiagnosticParameter,

      """
      |--AaB03x
      |Content-Disposition: form-data; name="field with spaces"; filename="filename with spaces.txt"
      |Content-Type: text/plain; charset=utf-8
      |
      |okay
      |--AaB03x
      |Content-Disposition: form-data; name="field with %22"
      |
      |"
      |--AaB03x
      |Content-Disposition: form-data; name="field with %22"
      |
      |%22
      |--AaB03x