遇到的Not all named parameters have been set: [3, 5, 4]

最新推荐文章于 2023-07-20 19:34:27 发布
最新推荐文章于 2023-07-20 19:34:27 发布
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分类专栏： 巴巴运动网学习笔记 文章标签： parameters
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本文链接：https://blog.youkuaiyun.com/hongtaq/article/details/7829548

org.hibernate.QueryException: Not all named parameters have been set: [3, 5, 4] [select o from ProductInfo o  where o.visible=?1 and  o.type.typeid in(?2,?3,?4,?5) order by o.createDate desc]

 

上次写错的，导致出现Not all named parameters have been set: [3, 5, 4]
   * 这个错误，参数没设全.要把params.add(typeids);修改成params.addAll(typeids);

 

Flink Sink 到 ClickHouse 报错 “Not all parameters binded“ 编程
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在 open() 方法中，我们建立了与 ClickHouse 数据库的连接，并创建了一个 PreparedStatement。在 invoke() 方法中，我们设置了参数的值，并执行了插入操作。在本文中，我将为你展示如何解决这个问题，并提供相应的源代码示例。参数类型不匹配：检查你的 INSERT 语句中每个占位符的数据类型，并确保你为每个占位符设置了正确的参数类型。通过仔细检查你的代码，并根据上述解决方法进行调整，你应该能够解决 “Not all parameters binded” 错误。
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Not all named parameters have been set
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1、从页面上获取的是字符创类型的日期 如：date = "2012-3-14"如下是SQL: 2、SQL select t.a,t.b,count(*) from 表名 t where t.add_date >= to_timestamp(date 00:00:00.000000,'yyyy-mm-dd hh24:mi:ss.ff') and t.add_date = to...
Not all named parameters have been set: [mi:ss, 56:05, 56:01] [select a.
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Not all named parameters have been set: [mi:ss, 56:05, 56:01] [select a.zxbs 这时出现在dao层拼接sql语句的时候的错误！而这些错误肯定是在拼接sql语句的时候有问题。只需要在后台将我们拼好的sql语句放到数据库中进行查询就能找到问题，一般是格式问题或者后台处理前台数据出现了问题。
Hibernate QueryException:Not all named parameters have been set:
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现象: 不带条件查询时,可以查询到数据 带条件查询时,报错 出错位置 是在执行Query对象的list()方法时,导致错误的原因是前面设置参数的时候有问题 条件 少了一个 ! 号     导致不带条件查询时,判断为false,可以正常查询,带条件时,条件判断仍为false,参数设置失败 正确是if(paramMap != nul
hibenate sql报Not all named parameters have been set: [:timestamp] 错
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我使用的是postgresql StringBuffer sb = new StringBuffer(); sb.append("SELECT a.name as name,.....FROM 表名 a,表名 b WHERE 1 = 1 AND a.card_no = b.card_no AND a.out_time = [color=red]CURRENT_DATE::TIMESTAM...
zl@zl-virtual-machine:~/catkin_ws$ roslaunch gazebo_pkg race.launch ... logging to /home/zl/.ros/log/a85ae268-5ca4-11f0-b935-318c9b5216ae/roslaunch-zl-virtual-machine-3453.log Checking log directory for disk usage. This may take a while. Press Ctrl-C to interrupt Done checking log file disk usage. Usage is <1GB. xacro: in-order processing became default in ROS Melodic. You can drop the option. started roslaunch server http://127.0.0.1:33879/ SUMMARY ======== PARAMETERS * /gazebo/enable_ros_network: True * /robot_description: <?xml version="1.... * /rosdistro: noetic * /rosversion: 1.17.4 * /use_sim_time: True NODES / gazebo (gazebo_ros/gzserver) gazebo_gui (gazebo_ros/gzclient) joint_state_publisher (joint_state_publisher/joint_state_publisher) robot_state_publisher (robot_state_publisher/robot_state_publisher) urdf_spawner (gazebo_ros/spawn_model) ROS_MASTER_URI=http://127.0.0.1:11311 process[gazebo-1]: started with pid [3468] process[gazebo_gui-2]: started with pid [3471] process[urdf_spawner-3]: started with pid [3476] process[joint_state_publisher-4]: started with pid [3479] process[robot_state_publisher-5]: started with pid [3480] Traceback (most recent call last): File "/opt/ros/noetic/lib/gazebo_ros/spawn_model", line 20, in <module> import rospy File "/opt/ros/noetic/lib/python3/dist-packages/rospy/__init__.py", line 49, in <module> from .client import spin, myargv, init_node, \ File "/opt/ros/noetic/lib/python3/dist-packages/rospy/client.py", line 52, in <module> import roslib File "/opt/ros/noetic/lib/python3/dist-packages/roslib/__init__.py", line 50, in <module> from roslib.launcher import load_manifest # noqa: F401 File "/opt/ros/noetic/lib/python3/dist-packages/roslib/launcher.py", line 42, in <module> import rospkg ModuleNotFoundError: No module named &#39;rospkg&#39; Traceback (most recent call last): File "/opt/ros/noetic/lib/joint_state_publisher/joint_state_publisher", line 35, in <module> import rospy File "/opt/ros/noetic/lib/python3/dist-packages/rospy/__init__.py", line 49, in <module> from .client import spin, myargv, init_node, \ File "/opt/ros/noetic/lib/python3/dist-packages/rospy/client.py", line 52, in <module> import roslib File "/opt/ros/noetic/lib/python3/dist-packages/roslib/__init__.py", line 50, in <module> from roslib.launcher import load_manifest # noqa: F401 File "/opt/ros/noetic/lib/python3/dist-packages/roslib/launcher.py", line 42, in <module> import rospkg ModuleNotFoundError: No module named &#39;rospkg&#39; [urdf_spawner-3] process has died [pid 3476, exit code 1, cmd /opt/ros/noetic/lib/gazebo_ros/spawn_model -urdf -model robot -param robot_description -z 0.05 gazebo/scan:=/scan __name:=urdf_spawner __log:=/home/zl/.ros/log/a85ae268-5ca4-11f0-b935-318c9b5216ae/urdf_spawner-3.log]. log file: /home/zl/.ros/log/a85ae268-5ca4-11f0-b935-318c9b5216ae/urdf_spawner-3*.log [joint_state_publisher-4] process has died [pid 3479, exit code 1, cmd /opt/ros/noetic/lib/joint_state_publisher/joint_state_publisher gazebo/scan:=/scan __name:=joint_state_publisher __log:=/home/zl/.ros/log/a85ae268-5ca4-11f0-b935-318c9b5216ae/joint_state_publisher-4.log]. log file: /home/zl/.ros/log/a85ae268-5ca4-11f0-b935-318c9b5216ae/joint_state_publisher-4*.log [gazebo-1] process has died [pid 3468, exit code 255, cmd /opt/ros/noetic/lib/gazebo_ros/gzserver -e ode /home/zl/catkin_ws/src/gazebo_pkg/world/race_with_board.world gazebo/scan:=/scan __name:=gazebo __log:=/home/zl/.ros/log/a85ae268-5ca4-11f0-b935-318c9b5216ae/gazebo-1.log]. log file: /home/zl/.ros/log/a85ae268-5ca4-11f0-b935-318c9b5216ae/gazebo-1*.log [INFO] [1752052283.751006243]: Finished loading Gazebo ROS API Plugin. [INFO] [1752052283.751633811]: waitForService: Service [/gazebo_gui/set_physics_properties] has not been advertised, waiting... Couldn&#39;t find a preferred IP via the getifaddrs() call; I&#39;m assuming that your IP address is 127.0.0.1. This should work for local processes, but will almost certainly not work if you have remote processes.Report to the disc-zmq development team to seek a fix. Couldn&#39;t find a preferred IP via the getifaddrs() call; I&#39;m assuming that your IP address is 127.0.0.1. This should work for local processes, but will almost certainly not work if you have remote processes.Report to the disc-zmq development team to seek a fix. Couldn&#39;t find a preferred IP via the getifaddrs() call; I&#39;m assuming that your IP address is 127.0.0.1. This should work for local processes, but will almost certainly not work if you have remote processes.Report to the disc-zmq development team to seek a fix. Couldn&#39;t find a preferred IP via the getifaddrs() call; I&#39;m assuming that your IP address is 127.0.0.1. This should work for local processes, but will almost certainly not work if you have remote processes.Report to the disc-zmq development team to seek a fix. libcurl: (6) Could not resolve host: fuel.ignitionrobotics.org libcurl: (6) Could not resolve host: fuel.gazebosim.org
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错误信息显示在启动过程中，两个节点（urdf_spawner和joint_state_publisher）因相同的错误而失败：`ModuleNotFoundError: No module named &#39;rospkg&#39;`。同时，gazebo节点也退出了。 ### 问题分析： 1. **错误原因**...
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org.springframework.dao.InvalidDataAccessResourceUsageException: Not all named parameters have been
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at org.springframework.orm.jpa.vendor.HibernateJpaDialect.convertHibernateAccessException(HibernateJpaDialect.java:264) at org.springframework.orm.jpa.vendor.HibernateJpaDialect.translateExceptionIfPossible(HibernateJpaDialect.java:218) at org.springframew
报错信息：InvalidDataAccessResourceUsageException: Not all named parameters have been set: [ids]
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报错信息： org.springframework.dao.InvalidDataAccessResourceUsageException: Not all named parameters have been set: [ids] 错误内容： 那个框框里面正常来说应该是下面这样的 解决方法： 主要问题就是下面那个箭头处，粗心忘记返回了，这个params参数是后面加上去的，加上去就解决啦！！ ...
【java-bug】Exception occurred during processing request:
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/home/ustc/anaconda3/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead. warnings.warn( The following values were not passed to `accelerate launch` and had defaults used instead: More than one GPU was found, enabling multi-GPU training. If this was unintended please pass in `--num_processes=1`. `--num_machines` was set to a value of `1` `--mixed_precision` was set to a value of `&#39;no&#39;` `--dynamo_backend` was set to a value of `&#39;no&#39;` To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`. /home/ustc/anaconda3/lib/python3.12/site-packages/pydub/utils.py:170: RuntimeWarning: Couldn&#39;t find ffmpeg or avconv - defaulting to ffmpeg, but may not work warn("Couldn&#39;t find ffmpeg or avconv - defaulting to ffmpeg, but may not work", RuntimeWarning) /home/ustc/anaconda3/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py:134: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. WeightNorm.apply(module, name, dim) /home/ustc/anaconda3/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead. warnings.warn( [rank0]: Traceback (most recent call last): [rank0]: File "/home/ustc/anaconda3/lib/python3.12/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 92, in _call_target [rank0]: return _target_(*args, **kwargs) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/ustc/桌面/seed-vc-main-v2/modules/astral_quantization/default_model.py", line 22, in __init__ [rank0]: self.tokenizer = WhisperProcessor.from_pretrained( [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/ustc/anaconda3/lib/python3.12/site-packages/transformers/processing_utils.py", line 1079, in from_pretrained [rank0]: args = cls._get_arguments_from_pretrained(pretrained_model_name_or_path, **kwargs) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/ustc/anaconda3/lib/python3.12/site-packages/transformers/processing_utils.py", line 1143, in _get_arguments_from_pretrained [rank0]: args.append(attribute_class.from_pretrained(pretrained_model_name_or_path, **kwargs)) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/ustc/anaconda3/lib/python3.12/site-packages/transformers/feature_extraction_utils.py", line 384, in from_pretrained [rank0]: feature_extractor_dict, kwargs = cls.get_feature_extractor_dict(pretrained_model_name_or_path, **kwargs) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/ustc/anaconda3/lib/python3.12/site-packages/transformers/feature_extraction_utils.py", line 510, in get_feature_extractor_dict [rank0]: resolved_feature_extractor_file = cached_file( [rank0]: ^^^^^^^^^^^^ [rank0]: File "/home/ustc/anaconda3/lib/python3.12/site-packages/transformers/utils/hub.py", line 266, in cached_file [rank0]: file = cached_files(path_or_repo_id=path_or_repo_id, filenames=[filename], **kwargs) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/ustc/anaconda3/lib/python3.12/site-packages/transformers/utils/hub.py", line 381, in cached_files [rank0]: raise OSError( [rank0]: OSError: ./checkpoints/hf_cache does not appear to have a file named preprocessor_config.json. Checkout &#39;https://huggingface.co/./checkpoints/hf_cache/tree/main&#39; for available files. [rank0]: The above exception was the direct cause of the following exception: [rank0]: Traceback (most recent call last): [rank0]: File "/home/ustc/桌面/seed-vc-main-v2/train_v2.py", line 345, in <module> [rank0]: main(args) [rank0]: File "/home/ustc/桌面/seed-vc-main-v2/train_v2.py", line 314, in main [rank0]: trainer = Trainer( [rank0]: ^^^^^^^^ [rank0]: File "/home/ustc/桌面/seed-vc-main-v2/train_v2.py", line 75, in __init__ [rank0]: self._init_models(train_cfm=train_cfm, train_ar=train_ar) [rank0]: File "/home/ustc/桌面/seed-vc-main-v2/train_v2.py", line 106, in _init_models [rank0]: self._init_main_model(train_cfm=train_cfm, train_ar=train_ar) [rank0]: File "/home/ustc/桌面/seed-vc-main-v2/train_v2.py", line 116, in _init_main_model [rank0]: self.model = hydra.utils.instantiate(cfg).to(self.device) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/ustc/anaconda3/lib/python3.12/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 226, in instantiate [rank0]: return instantiate_node( [rank0]: ^^^^^^^^^^^^^^^^^ [rank0]: File "/home/ustc/anaconda3/lib/python3.12/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 342, in instantiate_node [rank0]: value = instantiate_node( [rank0]: ^^^^^^^^^^^^^^^^^ [rank0]: File "/home/ustc/anaconda3/lib/python3.12/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 347, in instantiate_node [rank0]: return _call_target(_target_, partial, args, kwargs, full_key) [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [rank0]: File "/home/ustc/anaconda3/lib/python3.12/site-packages/hydra/_internal/instantiate/_instantiate2.py", line 97, in _call_target [rank0]: raise InstantiationException(msg) from e [rank0]: hydra.errors.InstantiationException: Error in call to target &#39;modules.astral_quantization.default_model.AstralQuantizer&#39;: [rank0]: OSError("./checkpoints/hf_cache does not appear to have a file named preprocessor_config.json. Checkout &#39;https://huggingface.co/./checkpoints/hf_cache/tree/main&#39; for available files.") [rank0]: full_key: content_extractor_narrow [rank0]:[W514 21:22:23.005946238 ProcessGroupNCCL.cpp:1168] Warning: WARNING: process group has NOT been destroyed before we destruct ProcessGroupNCCL. On normal program exit, the application should call destroy_process_group to ensure that any pending NCCL operations have finished in this process. In rare cases this process can exit before this point and block the progress of another member of the process group. This constraint has always been present, but this warning has only been added since PyTorch 2.4 (function operator()) W0514 21:22:24.285000 132883023812096 torch/distributed/elastic/multiprocessing/api.py:858] Sending process 3125405 closing signal SIGTERM W0514 21:22:24.285000 132883023812096 torch/distributed/elastic/multiprocessing/api.py:858] Sending process 3125406 closing signal SIGTERM W0514 21:22:24.285000 132883023812096 torch/distributed/elastic/multiprocessing/api.py:858] Sending process 3125407 closing signal SIGTERM E0514 21:22:24.500000 132883023812096 torch/distributed/elastic/multiprocessing/api.py:833] failed (exitcode: 1) local_rank: 0 (pid: 3125404) of binary: /home/ustc/anaconda3/bin/python Traceback (most recent call last): File "/home/ustc/anaconda3/bin/accelerate", line 8, in <module> sys.exit(main()) ^^^^^^ File "/home/ustc/anaconda3/lib/python3.12/site-packages/accelerate/commands/accelerate_cli.py", line 50, in main args.func(args) File "/home/ustc/anaconda3/lib/python3.12/site-packages/accelerate/commands/launch.py", line 1204, in launch_command multi_gpu_launcher(args) File "/home/ustc/anaconda3/lib/python3.12/site-packages/accelerate/commands/launch.py", line 825, in multi_gpu_launcher distrib_run.run(args) File "/home/ustc/anaconda3/lib/python3.12/site-packages/torch/distributed/run.py", line 892, in run elastic_launch( File "/home/ustc/anaconda3/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 133, in __call__ return launch_agent(self._config, self._entrypoint, list(args)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ustc/anaconda3/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 264, in launch_agent raise ChildFailedError( torch.distributed.elastic.multiprocessing.errors.ChildFailedError: ============================================================ train_v2.py FAILED ------------------------------------------------------------ Failures: <NO_OTHER_FAILURES> ------------------------------------------------------------ Root Cause (first observed failure): [0]: time : 2025-05-14_21:22:24 host : ustc-SYS-740GP-TNRT rank : 0 (local_rank: 0) exitcode : 1 (pid: 3125404) error_file: <N/A> traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html ============================================================ 分析原因
05-15
### 解决 Transformers 和 accelerate 中的警告和错误 在使用 `Transformers` 和 `accelerate` 库时，可能会遇到多种警告和错误。以下是针对提到的具体问题的解决方案： #### 1. **TRANSFORMERS_CACHE 被废弃** `TRANSFORMERS_CACHE` 已被标记为过期 (deprecated)，建议改用环境变量 `HF_HOME` 来指定缓存路径[^1]。可以通过设置以下环境变量来替代旧的行为： ```bash export HF_HOME=/path/to/cache/directory ``` 如果需要在 Python 脚本中动态设置此变量，则可以这样做： ```python import os os.environ["HF_HOME"] = "/path/to/cache/directory" ``` #### 2. **缺少 ffmpeg 或 avconv 导致的错误** 某些模型依赖于多媒体处理工具（如 `ffmpeg` 或 `avconv`）。当这些工具不可用时，运行代码可能抛出 `OSError`。要解决这个问题，请先确认已安装所需的工具。 对于基于 Linux 的系统，可通过包管理器安装 `ffmpeg`： ```bash sudo apt update && sudo apt install ffmpeg ``` 或者，在 macOS 上通过 Homebrew 安装： ```bash brew install ffmpeg ``` 验证安装成功后，重新启动脚本即可消除相关错误。 #### 3. **weight_norm 报废提示** `torch.nn.utils.weight_norm` 函数已被标记为弃用，并将在未来的 PyTorch 版本中移除。推荐替换为更现代的方法——例如直接初始化权重矩阵并应用正则化技术。具体来说，可以在定义网络层时显式地实现类似的规范化逻辑。 假设您正在迁移现有代码库中的某一层结构，可以用如下方式重构它： ```python import torch.nn as nn class CustomLayer(nn.Module): def __init__(self, input_dim, output_dim): super(CustomLayer, self).__init__() self.linear = nn.Linear(input_dim, output_dim) def forward(self, x): return self.linear(x) ``` 这样不仅消除了警告消息，还提高了代码可维护性和性能表现。 #### 4. **加载 preprocessor_config.json 文件失败** 此类问题是由于目标目录下的必要文件丢失引起的。通常情况下，这涉及到预处理器配置文件 (`preprocessor_config.json`) 缺失的情况。为了修复这一情况，请确保所有必需资源均已正确下载至本地存储位置。 以 Florence 模型为例，其正常工作至少需要两个核心组件：`pytorch_model.bin` 和 `config.json` 存在于同一父级文件夹内[^1]。因此，请仔细核对您的 models 目录树是否完整无缺；若有任何遗漏项，则需补充相应数据集链接地址所提供的全部资产副本。 最后一步操作指南如下所示： ```bash mkdir -p /your/path/models/Florence/ wget https://example.com/pytorch_model.bin -P /your/path/models/Florence/ wget https://example.com/config.json -P /your/path/models/Florence/ ``` 完成以上步骤之后再次尝试执行程序应该能够顺利解决问题。 --- ### 总结 综上所述，分别采取措施更新环境变量设定、补全外部依赖软件包、调整陈旧 API 呼叫形式以及保障资料齐全这几方面入手，便能有效应对当前所面临的一系列挑战。
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