## HTTP Trace

HTTP tracing can be enabled by using [`mc admin trace`](https://docs.min.io/community/minio-object-store/reference/minio-mc-admin/mc-admin-trace.html) command.

Example:

```sh
minio server /data
```

                    final Map<String, Object> doc = hit.getSourceAsMap();
                    final String url = DocumentUtil.getValue(doc, fessConfig.getIndexFieldUrl(), String.class);
                    if (StringUtil.isNotBlank(url)) {
                        final Set<String> labelSet = labelTypeHelper.getMatchedLabelValueSet(url);
                        final Script script = languageHelper.createScript(doc, "ctx._source." + fessConfig.getIndexFieldLabel()

passenderen HTTP-Statuscode `401 Unauthorized` und geben in der Response einen sinnvollen `WWW-Authenticate`-Header zurück, gemäß den HTTP-Spezifikationen, <a href="https://datatracker.ietf.org/doc/html/rfc7235#section-3.1" class="external-link" target="_blank">RFC 7235</a>, <a href="https://datatracker.ietf.org/doc/html/rfc9110#name-401-unauthorized" class="external-link" target="_blank">RFC 9110</a>.

Aber falls Ihre Clients aus irgendeinem Grund vom alten Verhalten abhängen, können Sie darauf...

# See the OWNERS docs at https://go.k8s.io/owners

options:
  # make root approval non-recursive
  no_parent_owners: true
reviewers:
  - alisondy
  - cblecker
  - guineveresaenger
  - mrbobbytables
  - nikhita
  - parispittman
  - palnabarun
  - kaslin
  - MadhavJivrajani
  - mfahlandt
  - Priyankasaggu11929
approvers:
  - sig-contributor-experience-approvers
  - parispittman
emeritus_approvers:
  - castrojo

cuda-libraries-dev-13-0
cuda-nvml-dev-13-0
libcufft-13-0
libcurand-13-0
libcusolver-dev-13-0
libcusparse-dev-13-0
libcublas-13-0
libcublas-dev-13-0
libnccl-dev=2.27.7-1+cuda13.0
libnccl2=2.27.7-1+cuda13.0
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-headers-cuda-13=9.15.1.9-1
libcudnn9-static-cuda-13=9.15.1.9-1
libcudnn9-dev-cuda-13=9.15.1.9-1

  logo: img/icon-white.svg
  favicon: img/favicon.png
  language: en
repo_name: fastapi/fastapi
repo_url: https://github.com/fastapi/fastapi
plugins:
  social:
    cards_layout_options:
      logo: ../en/docs/img/icon-white.svg
  typeset: null
  search: null
  macros:
    include_yaml:
    - github_sponsors: ../en/data/github_sponsors.yml
    - people: ../en/data/people.yml
    - contributors: ../en/data/contributors.yml

# Testing a Database { #testing-a-database }

You can study about databases, SQL, and SQLModel in the <a href="https://sqlmodel.tiangolo.com/" class="external-link" target="_blank">SQLModel docs</a>. 🤓

There's a mini <a href="https://sqlmodel.tiangolo.com/tutorial/fastapi/" class="external-link" target="_blank">tutorial on using SQLModel with FastAPI</a>. ✨

cuda-libraries-dev-12-1
cuda-nvml-dev-12-1
libcufft-12-1
libcurand-12-1
libcusolver-dev-12-1
libcusparse-dev-12-1
libcublas-12-1
libcublas-dev-12-1
libnccl-dev=2.18.3-1+cuda12.1
libnccl2=2.18.3-1+cuda12.1
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.8.0.87-1

nvidia-cuda-cupti-cu12>=12.5.82,<13.0
nvidia-cuda-nvcc-cu12>=12.5.82,<13.0
nvidia-cuda-nvrtc-cu12>=12.5.82,<13.0
nvidia-cuda-runtime-cu12>=12.5.82,<13.0
# The upper bound is set for the CUDNN API compatibility.
# See
# https://docs.nvidia.com/deeplearning/cudnn/backend/latest/developer/forward-compatibility.html#cudnn-api-compatibility
nvidia-cudnn-cu12>=9.3.0.75,<10.0
nvidia-cufft-cu12>=11.2.3.61,<12.0
nvidia-curand-cu12>=10.3.6.82,<11.0

cuda-libraries-dev-12-3
cuda-nvml-dev-12-3
libcufft-12-3
libcurand-12-3
libcusolver-dev-12-3
libcusparse-dev-12-3
libcublas-12-3
libcublas-dev-12-3
libnccl-dev=2.19.3-1+cuda12.3
libnccl2=2.19.3-1+cuda12.3
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.1.1.17-1