Restoring PostgreSQL database gitlabhq_production ... ERROR: must be owner of extension pg_trgm ERROR: must be owner of extension btree_gist ERROR: must be owner of extension btree_gist ERROR: must be owner of extension pg_trgm
时间: 2024-03-18 17:40:45 浏览: 16
这个错误通常是由于在恢复数据库之前,安装了扩展并使用了不同的用户。由于该用户不是这些扩展的所有者,因此在恢复过程中会出现此错误。
要解决这个问题,你需要授予当前用户所需的扩展的所有权。你可以使用以下命令授予用户所有权:
```
ALTER EXTENSION pg_trgm OWNER TO <user>;
ALTER EXTENSION btree_gist OWNER TO <user>;
```
其中,`<user>` 是当前用户的名称。
如果你是使用超级用户进行恢复的,则可以考虑使用 `--no-owner` 选项来恢复数据库,该选项将忽略所有权问题。例如:
```
pg_restore --no-owner -d dbname db.dump
```
请注意,这可能会导致数据库中的扩展没有正确的所有者,因此你需要在恢复后手动授予所有权。
相关问题
> config: configs/diffusion_vec768l12.yaml > exp: exp/diffusion-test | Load HifiGAN: pretrain/nsf_hifigan/model Removing weight norm... [*] restoring model from exp/diffusion-test\model_0.pt Load all the data from : data/train 0%| | 0/859 [00:00<?, ?it/s] Traceback (most recent call last): File "train_diff.py", line 66, in <module> loader_train, loader_valid = get_data_loaders(args, whole_audio=False) File "F:\liandan\DDSP-SVC-3.0\diffusion\data_loaders.py", line 52, in get_data_loaders data_train = AudioDataset( File "F:\liandan\DDSP-SVC-3.0\diffusion\data_loaders.py", line 143, in __init__ raise ValueError(' [x] Muiti-speaker traing error : spk_id must be a positive integer from 1 to n_spk ') ValueError: [x] Muiti-speaker traing error : spk_id must be a positive integer from 1 to n_spk
这个错误提示看起来是在进行多说话者训练时出现的。错误提示说 spk_id 必须是从 1 到 n_spk 的正整数,但是代码中 spk_id 不符合这个要求,因此出现了 ValueError 错误。
我建议你检查代码中的 spk_id 是否正确,并确保它是一个从 1 到 n_spk 的正整数。你还可以检查你的训练数据,确认说话者标识符是否正确,并且没有缺失或冗余的数据。如果你需要更多的帮助,请提供更多的上下文和代码,这样我才能更好地帮助你解决这个问题。
KeyError('pkgs_dirs')
The KeyError('pkgs_dirs') error occurs when a key named "pkgs_dirs" is not found in a dictionary or any other object that should contain this key.
This error is commonly encountered when using the conda package manager, which maintains a configuration file called ".condarc" that contains various settings related to package installation and management. If this file is missing or corrupted, or if the "pkgs_dirs" key is not properly defined in it, the KeyError('pkgs_dirs') error can occur.
To fix this error, you can try the following steps:
1. Make sure that the .condarc file exists and is not corrupted. You can check this by opening the file in a text editor and verifying that it contains the required keys and values, including "pkgs_dirs".
2. If the .condarc file is missing or corrupted, you can try recreating it from scratch or restoring it from a backup.
3. If the .condarc file is intact but the "pkgs_dirs" key is missing, you can add it manually to the file. The value of this key should be a list of directories where conda will look for packages.
4. If none of the above steps work, you can try reinstalling conda or resetting your conda environment to its default settings.
Overall, the KeyError('pkgs_dirs') error is usually related to issues with conda's configuration files, and can usually be fixed by checking and modifying these files as needed.