[Store:280040]An invalid record was found in the store: Code=30

最新推荐文章于 2024-08-11 13:07:48 发布
原创 最新推荐文章于 2024-08-11 13:07:48 发布 · 1.8k 阅读 · 0 ·
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背景：

Weblogic启动AdminServer时报错，提示[Store:280040]An invalid record was found in the store: Code=30

####<Feb 24, 2020 6:59:19 PM CST> <Info> <Socket> <xxx> <AdminServer> <[ACTIVE] ExecuteThread: '0' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1582541959
689> <BEA-000436> <Allocating 4 reader threads.> 
####<Feb 24, 2020 6:59:19 PM CST> <Info> <Socket> <xxx> <AdminServer> <[ACTIVE] ExecuteThread: '0' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1582541959
689> <BEA-000446> <Native I/O enabled.> 
####<Feb 24, 2020 6:59:19 PM CST> <Info> <Store> <xxx> <AdminServer> <[STANDBY] ExecuteThread: '1' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1582541959
693> <BEA-280008> <Opening the persistent file store "WLS_DIAGNOSTICS" for recovery: directory=/home/web8050/Oracle/Middleware/user_projects/domains/base_domain/servers/AdminServer/data/store/diagnostics request
edWritePolicy="Disabled" fileLockingEnabled=true driver="wlfileio3".> 
####<Feb 24, 2020 6:59:19 PM CST> <Info> <Store> <xxx> <AdminServer> <[STANDBY] ExecuteThread: '1' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1582541959
700> <BEA-280103> <The persistent file store "WLS_DIAGNOSTICS" will cache in weblogic.store.io.file.direct.FileMapping[granularity=4096 io=mapped].> 
####<Feb 24, 2020 6:59:19 PM CST> <Info> <XML> <xxx> <AdminServer> <[STANDBY] ExecuteThread: '3' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <158254195970
5> <BEA-130036> <Initializing XMLRegistry> 
####<Feb 24, 2020 6:59:20 PM CST> <Info> <Security> <xxx> <AdminServer> <[STANDBY] ExecuteThread: '2' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1582541
960088> <BEA-000000> <Starting OpenJPA 1.1.1-SNAPSHOT> 
####<Feb 24, 2020 6:59:20 PM CST> <Info> <Security> <xxx> <AdminServer> <[STANDBY] ExecuteThread: '2' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1582541
960252> <BEA-000000> <StoreServiceImpl.initJDO - StoreService is initialized with Id = ldap_GSLB1VBQg0atilSQQTYS3VzTxbc=> 
####<Feb 24, 2020 6:59:20 PM CST> <Info> <Security> <xxx> <AdminServer> <[STANDBY] ExecuteThread: '2' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1582541
960341> <BEA-090516> <The Authenticator provider has pre-existing LDAP data.> 
####<Feb 24, 2020 6:59:20 PM CST> <Info> <Security> <xxx> <AdminServer> <[STANDBY] ExecuteThread: '2' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1582541
960604> <BEA-090516> <The Authorizer provider has preexisting LDAP data.> 
####<Feb 24, 2020 6:59:20 PM CST> <Emergency> <Store> <xxx> <AdminServer> <[STANDBY] ExecuteThread: '1' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <15825
41960606> <BEA-280060> <The store "WLS_DIAGNOSTICS" encountered a fatal error, and it must be shut down: weblogic.store.PersistentStoreFatalException: [Store:280040]An invalid record was found in the store: Code
=30.
weblogic.store.PersistentStoreFatalException: [Store:280040]An invalid record was found in the store: Code=30.
        at weblogic.store.io.file.BaseStoreIO.openInternal(BaseStoreIO.java:170)
        at weblogic.store.io.file.FileStoreIO.open(FileStoreIO.java:64)
        at weblogic.store.internal.PersistentStoreImpl.recoverStoreConnections(PersistentStoreImpl.java:476)
        at weblogic.store.internal.PersistentStoreImpl.open(PersistentStoreImpl.java:453)
        at weblogic.store.xa.PersistentStoreManagerXA.createFileStore(PersistentStoreManagerXA.java:117)
        at weblogic.diagnostics.archive.DiagnosticStoreRepository.getStore(DiagnosticStoreRepository.java:91)
        at weblogic.diagnostics.lifecycle.ArchiveLifecycleImpl.initialize(ArchiveLifecycleImpl.java:94)
        at weblogic.diagnostics.lifecycle.DiagnosticFoundationService.start(DiagnosticFoundationService.java:121)
        at weblogic.server.AbstractServerService.postConstruct(AbstractServerService.java:78)
        at sun.reflect.GeneratedMethodAccessor14.invoke(Unknown Source)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:606)
        at org.glassfish.hk2.utilities.reflection.ReflectionHelper.invoke(ReflectionHelper.java:1017)
        at org.jvnet.hk2.internal.ClazzCreator.postConstructMe(ClazzCreator.java:388)
        at org.jvnet.hk2.internal.ClazzCreator.create(ClazzCreator.java:430)
        at org.jvnet.hk2.internal.SystemDescriptor.create(SystemDescriptor.java:456)
        at org.glassfish.hk2.runlevel.internal.AsyncRunLevelContext.findOrCreate(AsyncRunLevelContext.java:225)
        at org.glassfish.hk2.runlevel.RunLevelContext.findOrCreate(RunLevelContext.java:82)
        at org.jvnet.hk2.internal.Utilities.createService(Utilities.java:2488)
        at org.jvnet.hk2.internal.ServiceHandleImpl.getService(ServiceHandleImpl.java:98)
        at org.jvnet.hk2.internal.ServiceLocatorImpl.getService(ServiceLocatorImpl.java:606)
        at org.jvnet.hk2.internal.ThreeThirtyResolver.resolve(ThreeThirtyResolver.java:77)
        at org.jvnet.hk2.internal.ClazzCreator.resolve(ClazzCreator.java:231)
        at org.jvnet.hk2.internal.ClazzCreator.resolveAllDependencies(ClazzCreator.java:254)
        at org.jvnet.hk2.internal.ClazzCreator.create(ClazzCreator.java:413)
        at org.jvnet.hk2.internal.SystemDescriptor.create(SystemDescriptor.java:456)
        at org.glassfish.hk2.runlevel.internal.AsyncRunLevelContext.findOrCreate(AsyncRunLevelContext.java:225)
        at org.glassfish.hk2.runlevel.RunLevelContext.findOrCreate(RunLevelContext.java:82)
        at org.jvnet.hk2.internal.Utilities.createService(Utilities.java:2488)
        at org.jvnet.hk2.internal.ServiceHandleImpl.getService(ServiceHandleImpl.java:98)
        at org.jvnet.hk2.internal.ServiceHandleImpl.getService(ServiceHandleImpl.java:87)
        at org.glassfish.hk2.runlevel.internal.CurrentTaskFuture$QueueRunner.oneJob(CurrentTaskFuture.java:1162)
        at org.glassfish.hk2.runlevel.internal.CurrentTaskFuture$QueueRunner.run(CurrentTaskFuture.java:1147)
        at weblogic.work.SelfTuningWorkManagerImpl$WorkAdapterImpl.run(SelfTuningWorkManagerImpl.java:548)
        at weblogic.work.ExecuteThread.execute(ExecuteThread.java:311)
        at weblogic.work.ExecuteThread.run(ExecuteThread.java:263)
> 
####<Feb 24, 2020 6:59:20 PM CST> <Critical> <Health> <xxx> <AdminServer> <[STANDBY] ExecuteThread: '4' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <15825
41960610> <BEA-310006> <Critical subsystem PersistentStore.WLS_DIAGNOSTICS has failed. Setting server state to FAILED.
Reason: weblogic.store.PersistentStoreFatalException: [Store:280040]An invalid record was found in the store: Code=30.> 
####<Feb 24, 2020 6:59:20 PM CST> <Critical> <WebLogicServer> <xxx> <AdminServer> <[STANDBY] ExecuteThread: '4' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <
> <1582541960611> <BEA-000385> <Server health failed. Reason: health of critical service 'PersistentStore.WLS_DIAGNOSTICS' failed> 
####<Feb 24, 2020 6:59:20 PM CST> <Notice> <WebLogicServer> <xxx> <AdminServer> <[STANDBY] ExecuteThread: '4' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> 
<1582541960622> <BEA-000365> <Server state changed to FAILED.> 
####<Feb 24, 2020 6:59:21 PM CST> <Critical> <WebLogicServer> <xxx> <AdminServer> <main> <<WLS Kernel>> <> <> <1582541961170> <BEA-000362> <Server failed. Reason: 

There are 1 nested errors:

weblogic.diagnostics.lifecycle.DiagnosticComponentLifecycleException: weblogic.store.PersistentStoreFatalException: [Store:280040]An invalid record was found in the store: Code=30.
        at weblogic.diagnostics.lifecycle.ArchiveLifecycleImpl.initialize(ArchiveLifecycleImpl.java:97)
        at weblogic.diagnostics.lifecycle.DiagnosticFoundationService.start(DiagnosticFoundationService.java:121)
        at weblogic.server.AbstractServerService.postConstruct(AbstractServerService.java:78)
        at sun.reflect.GeneratedMethodAccessor14.invoke(Unknown Source)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:606)
        at org.glassfish.hk2.utilities.reflection.ReflectionHelper.invoke(ReflectionHelper.java:1017)
        at org.jvnet.hk2.internal.ClazzCreator.postConstructMe(ClazzCreator.java:388)
        at org.jvnet.hk2.internal.ClazzCreator.create(ClazzCreator.java:430)
        at org.jvnet.hk2.internal.SystemDescriptor.create(SystemDescriptor.java:456)
        at org.glassfish.hk2.runlevel.internal.AsyncRunLevelContext.findOrCreate(AsyncRunLevelContext.java:225)
        at org.glassfish.hk2.runlevel.RunLevelContext.findOrCreate(RunLevelContext.java:82)
        at org.jvnet.hk2.internal.Utilities.createService(Utilities.java:2488)
        at org.jvnet.hk2.internal.ServiceHandleImpl.getService(ServiceHandleImpl.java:98)
        at org.jvnet.hk2.internal.ServiceLocatorImpl.getService(ServiceLocatorImpl.java:606)
        at org.jvnet.hk2.internal.ThreeThirtyResolver.resolve(ThreeThirtyResolver.java:77)
        at org.jvnet.hk2.internal.ClazzCreator.resolve(ClazzCreator.java:231)
        at org.jvnet.hk2.internal.ClazzCreator.resolveAllDependencies(ClazzCreator.java:254)
        at org.jvnet.hk2.internal.ClazzCreator.create(ClazzCreator.java:413)
        at org.jvnet.hk2.internal.SystemDescriptor.create(SystemDescriptor.java:456)
        at org.glassfish.hk2.runlevel.internal.AsyncRunLevelContext.findOrCreate(AsyncRunLevelContext.java:225)
        at org.glassfish.hk2.runlevel.RunLevelContext.findOrCreate(RunLevelContext.java:82)
        at org.jvnet.hk2.internal.Utilities.createService(Utilities.java:2488)
        at org.jvnet.hk2.internal.ServiceHandleImpl.getService(ServiceHandleImpl.java:98)
        at org.jvnet.hk2.internal.ServiceHandleImpl.getService(ServiceHandleImpl.java:87)
        at org.glassfish.hk2.runlevel.internal.CurrentTaskFuture$QueueRunner.oneJob(CurrentTaskFuture.java:1162)
        at org.glassfish.hk2.runlevel.internal.CurrentTaskFuture$QueueRunner.run(CurrentTaskFuture.java:1147)
        at weblogic.work.SelfTuningWorkManagerImpl$WorkAdapterImpl.run(SelfTuningWorkManagerImpl.java:548)
        at weblogic.work.ExecuteThread.execute(ExecuteThread.java:311)
        at weblogic.work.ExecuteThread.run(ExecuteThread.java:263)
Caused by: weblogic.store.PersistentStoreFatalException: [Store:280040]An invalid record was found in the store: Code=30.
        at weblogic.store.io.file.BaseStoreIO.openInternal(BaseStoreIO.java:170)
        at weblogic.store.io.file.FileStoreIO.open(FileStoreIO.java:64)
        at weblogic.store.internal.PersistentStoreImpl.recoverStoreConnections(PersistentStoreImpl.java:476)
        at weblogic.store.internal.PersistentStoreImpl.open(PersistentStoreImpl.java:453)
        at weblogic.store.xa.PersistentStoreManagerXA.createFileStore(PersistentStoreManagerXA.java:117)
        at weblogic.diagnostics.archive.DiagnosticStoreRepository.getStore(DiagnosticStoreRepository.java:91)
        at weblogic.diagnostics.lifecycle.ArchiveLifecycleImpl.initialize(ArchiveLifecycleImpl.java:94)
        ... 29 more

> 
####<Feb 24, 2020 6:59:21 PM CST> <Notice> <WebLogicServer> <xxx> <AdminServer> <main> <<WLS Kernel>> <> <> <1582541961170> <BEA-000365> <Server state changed to FAILED.> 
####<Feb 24, 2020 6:59:21 PM CST> <Error> <WebLogicServer> <xxx> <AdminServer> <main> <<WLS Kernel>> <> <> <1582541961171> <BEA-000383> <A critical service failed. The server will shu
t itself down.> 
####<Feb 24, 2020 6:59:21 PM CST> <Notice> <WebLogicServer> <xxx> <AdminServer> <main> <<WLS Kernel>> <> <> <1582541961172> <BEA-000365> <Server state changed to FORCE_SHUTTING_DOWN.>
 
####<Feb 24, 2020 6:59:21 PM CST> <Info> <WebLogicServer> <xxx> <AdminServer> <[ACTIVE] ExecuteThread: '0' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <15
82541961173> <BEA-000236> <Stopping execute threads.> 
####<Feb 24, 2020 6:59:21 PM CST> <Info> <WebLogicServer> <xxx> <AdminServer> <main> <<WLS Kernel>> <> <> <1582541961173> <BEA-000238> <Shutdown has completed.>

解决办法：

rm -f /home/web8050/Oracle/Middleware/user_projects/domains/base_domain/servers/AdminServer/data/store/diagnostics/WLS_DIAGNOSTICS000000.DAT
rm -f /home/web8050/Oracle/Middleware/user_projects/domains/base_domain/servers/AdminServer/data/store/default/_WLS_ADMINSERVER000000.DAT
rm -f /home/web8050/Oracle/Middleware/user_projects/domains/base_domain/config/config.lok

 

 

 

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PowerShell 7 环境已加载 (版本: 7.5.2) PS C:\Users\Administrator\Desktop> cd E:\PyTorch_Build\pytorch PS E:\PyTorch_Build\pytorch> python -m venv rtx5070_env PS E:\PyTorch_Build\pytorch> .\rtx5070_env\Scripts\activate (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 查找最新 Windows SDK 库路径 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $sdkLibPath = @( >> "${env:ProgramFiles(x86)}\Windows Kits\10\Lib", >> "${env:ProgramFiles}\Windows Kits\10\Lib" >> ) | Where-Object { Test-Path $_ } | Select-Object -First 1 (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 获取最新版本路径 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $latestSdkVersion = Get-ChildItem -Path $sdkLibPath | >> Where-Object { $_.Name -match '^\d+\.\d+' } | >> Sort-Object { [version]$_.Name } -Descending | >> Select-Object -First 1 (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> if ($latestSdkVersion) { >> $umPath = Join-Path $latestSdkVersion.FullName "um\x64" >> $ucrtPath = Join-Path $latestSdkVersion.FullName "ucrt\x64" >> >> # 添加到环境变量 >> $env:LIB = "$umPath;$ucrtPath;$env:LIB" >> $env:INCLUDE = "$(Join-Path $latestSdkVersion.FullName 'um');$(Join-Path $latestSdkVersion.FullName 'ucrt');$env:INCLUDE" >> >> Write-Host "已添加 LIB 路径: $umPath, $ucrtPath" >> Write-Host "已添加 INCLUDE 路径: $(Join-Path $latestSdkVersion.FullName 'um')" >> } else { >> Write-Host "错误: 未找到 Windows SDK 库路径" -ForegroundColor Red >> } 已添加 LIB 路径: C:\Program Files (x86)\Windows Kits\10\Lib\10.0.22621.0\um\x64, C:\Program Files (x86)\Windows Kits\10\Lib\10.0.22621.0\ucrt\x64 已添加 INCLUDE 路径: C:\Program Files (x86)\Windows Kits\10\Lib\10.0.22621.0\um (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 验证关键工具可用性 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $tools = @("cl.exe", "link.exe", "rc.exe", "mt.exe", "nvcc.exe") (rtx5070_env) PS E:\PyTorch_Build\pytorch> $missingTools = @() (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> foreach ($tool in $tools) { >> if (-not (Get-Command $tool -ErrorAction SilentlyContinue)) { >> $missingTools += $tool >> } >> } (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> if ($missingTools.Count -gt 0) { >> Write-Host "缺失工具: $($missingTools -join ', ')" -ForegroundColor Red >> Write-Host "当前 PATH: $env:PATH" >> } else { >> Write-Host "所有必要工具已配置" -ForegroundColor Green >> } 缺失工具: cl.exe, link.exe, rc.exe, mt.exe 当前 PATH: E:\PyTorch_Build\pytorch\rtx5070_env\Scripts;C:\Program Files\PowerShell\7;C:\Miniconda3\condabin;C:\Miniconda3\Scripts;E:\PyTorch_Build\pytorch\pytorch_env\Scripts;C:\Program Files\PowerShell\7;E:\PyTorch_Build\pytorch\pytorch_env\Scripts;C:\Program Files\PowerShell\7;E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\bin\x64;E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\bin;E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\bin\x64;;E:\PyTorch_Build\pytorch\build\lib.win-amd64-cpython-310\torch\lib;E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\bin;E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\bin;C:\Users\Administrator\AppData\Local\Microsoft\dotnet;C:\Users\Administrator\AppData\Local\Microsoft\dotnet;C:\Users\Administrator\AppData\Local\Microsoft\dotnet\;C:\Program Files\dotnet;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\WINDOWS\System32\OpenSSH\;E:\Python310;C:\Program Files\dotnet\;C:\Users\Administrator\AppData\Local\Microsoft\WindowsApps;C:\Users\Administrator\.dotnet\tools;C:\Users\Administrator\AppData\Local\Microsoft\WindowsApps;C:\Users\Administrator\.dotnet\tools;E:\Python310\Scripts;E:\Python310\Scripts;C:\Program Files\PowerShell\7\;E:\Program Files\Microsoft VS Code\bin;E:\Program Files\Git\cmd;C:\Program Files\NVIDIA Corporation\Nsight Compute 2025.3.0\;E:\Program Files\CMake\bin;C:\Program Files\Microsoft SQL Server\150\Tools\Binn\;C:\Program Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn\;C:\Program Files (x86)\Incredibuild;E:\PyTorch_Build\pytorch\build\lib.win-amd64-cpython-310\torch\lib;E:\Program Files (x86)\Windows Kits\10\Windows Performance Toolkit\;C:\ProgramData\chocolatey\bin;E:\Program Files\Rust\.cargo\bin;C:\Users\Administrator\AppData\Local\Microsoft\WindowsApps;C:\Users\Administrator\.dotnet\tools;C:\Users\Administrator\miniconda3\Scripts;E:\Program Files\Rust\.cargo\bin;C:\Users\Administrator\AppData\Local\Microsoft\WindowsApps;C:\Users\Administrator\.dotnet\tools;C:\Users\Administrator\miniconda3\Scripts;E:\Program Files\Rust\.cargo\bin;C:\Users\Administrator\AppData\Local\Microsoft\WindowsApps;C:\Users\Administrator\.dotnet\tools;C:\ProgramData\mingw64\mingw64\bin (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 获取 SDK 版本 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $sdkVersion = Get-ChildItem -Path "${env:ProgramFiles(x86)}\Windows Kits\10\Include" | >> Where-Object { $_.PSIsContainer -and $_.Name -match '^\d+\.\d+\.\d+' } | >> Sort-Object { [version]$_.Name } -Descending | >> Select-Object -First 1 -ExpandProperty Name (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> $cmakeArgs = @( >> "-G Ninja", >> "-DCMAKE_BUILD_TYPE=Release", >> "-DCMAKE_C_COMPILER=cl.exe", >> "-DCMAKE_CXX_COMPILER=cl.exe", >> "-DCMAKE_CUDA_COMPILER=E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/bin/nvcc.exe", >> "-DCMAKE_CUDA_HOST_COMPILER=cl.exe", >> "-DCMAKE_SYSTEM_VERSION=$sdkVersion", # 关键: 指定 SDK 版本 >> "-DCUDA_NVCC_FLAGS=-Xcompiler /wd4819 -gencode arch=compute_89,code=sm_89", >> "-DTORCH_CUDA_ARCH_LIST=8.9", >> "-DUSE_CUDA=ON", >> "-DUSE_NCCL=OFF", >> "-DUSE_DISTRIBUTED=OFF", >> "-DBUILD_TESTING=OFF", >> "-DBLAS=OpenBLAS", >> "-DCUDA_TOOLKIT_ROOT_DIR=E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0", >> "-DCUDNN_ROOT_DIR=E:/Program Files/NVIDIA/CUDNN/v9.12", >> "-DPYTHON_EXECUTABLE=$((Get-Command python).Source)", >> # 显式指定库路径 >> "-DCMAKE_LIBRARY_PATH=C:/Program Files (x86)/Windows Kits/10/Lib/$sdkVersion/um/x64", >> "-DCMAKE_INCLUDE_PATH=C:/Program Files (x86)/Windows Kits/10/Include/$sdkVersion/um" >> ) (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> cmake .. @cmakeArgs CMake Warning: Ignoring extra path from command line: ".." CMake Error: The source directory "E:/PyTorch_Build" does not appear to contain CMakeLists.txt. Specify --help for usage, or press the help button on the CMake GUI. (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 加载完整 VC 环境 (rtx5070_env) PS E:\PyTorch_Build\pytorch> & "C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Auxiliary\Build\vcvars64.bat" -vcvars_ver=14.4 -winsdk=10.0.22621.0 [ERROR:vcvarsall.bat] Invalid argument found : .4 [ERROR:vcvarsall.bat] Invalid argument found : -winsdk=10 [ERROR:vcvarsall.bat] Invalid argument found : .0.22621.0 [ERROR:vcvarsall.bat] Error in script usage. The correct usage is: Syntax: vcvarsall.bat [arch] [platform_type] [winsdk_version] [-vcvars_ver=vc_version] [-vcvars_spectre_libs=spectre_mode] where : [arch]: x86 | amd64 | x86_amd64 | x86_arm | x86_arm64 | amd64_x86 | amd64_arm | amd64_arm64 [platform_type]: {empty} | store | uwp [winsdk_version] : full Windows 10 SDK number (e.g. 10.0.10240.0) or "8.1" to use the Windows 8.1 SDK. [vc_version] : {none} for latest installed VC++ compiler toolset | "14.0" for VC++ 2015 Compiler Toolset | "14.xx" for the latest 14.xx.yyyyy toolset installed (e.g. "14.11") | "14.xx.yyyyy" for a specific full version number (e.g. "14.11.25503") [spectre_mode] : {none} for libraries without spectre mitigations | "spectre" for libraries with spectre mitigations The store parameter sets environment variables to support Universal Windows Platform application development and is an alias for 'uwp'. For example: vcvarsall.bat x86_amd64 vcvarsall.bat x86_amd64 10.0.10240.0 vcvarsall.bat x86_arm uwp 10.0.10240.0 vcvarsall.bat x86_arm onecore 10.0.10240.0 -vcvars_ver=14.0 vcvarsall.bat x64 8.1 vcvarsall.bat x64 store 8.1 Please make sure either Visual Studio or C++ Build SKU is installed. (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 验证环境 (rtx5070_env) PS E:\PyTorch_Build\pytorch> cl.exe cl.exe: The term 'cl.exe' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. (rtx5070_env) PS E:\PyTorch_Build\pytorch> link.exe link.exe: The term 'link.exe' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 设置 CUDA 路径 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:CUDA_PATH = "E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0" (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:PATH = "$env:CUDA_PATH/bin;$env:PATH" (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 直接运行 CMake (rtx5070_env) PS E:\PyTorch_Build\pytorch> cmake .. -G Ninja -DCMAKE_BUILD_TYPE=Release -DUSE_CUDA=ON ... CMake Warning: Ignoring extra path from command line: "E:/PyTorch_Build" CMake Warning: Ignoring extra path from command line: ".." -- The CXX compiler identification is GNU 13.2.0 -- The C compiler identification is GNU 13.2.0 -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: C:/ProgramData/mingw64/mingw64/bin/c++.exe - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: C:/ProgramData/mingw64/mingw64/bin/gcc.exe - skipped -- Detecting C compile features -- Detecting C compile features - done -- Not forcing any particular BLAS to be found CMake Warning at CMakeLists.txt:418 (message): TensorPipe cannot be used on Windows. Set it to OFF CMake Warning at CMakeLists.txt:430 (message): Libuv is not installed in current conda env. Set USE_DISTRIBUTED to OFF. Please run command 'conda install -c conda-forge libuv=1.39' to install libuv. -- Performing Test C_HAS_AVX_1 -- Performing Test C_HAS_AVX_1 - Failed -- Performing Test C_HAS_AVX_2 -- Performing Test C_HAS_AVX_2 - Success -- Performing Test C_HAS_AVX2_1 -- Performing Test C_HAS_AVX2_1 - Failed -- Performing Test C_HAS_AVX2_2 -- Performing Test C_HAS_AVX2_2 - Success -- Performing Test C_HAS_AVX512_1 -- Performing Test C_HAS_AVX512_1 - Failed -- Performing Test C_HAS_AVX512_2 -- Performing Test C_HAS_AVX512_2 - Success -- Performing Test CXX_HAS_AVX_1 -- Performing Test CXX_HAS_AVX_1 - Failed -- Performing Test CXX_HAS_AVX_2 -- Performing Test CXX_HAS_AVX_2 - Success -- Performing Test CXX_HAS_AVX2_1 -- Performing Test CXX_HAS_AVX2_1 - Failed -- Performing Test CXX_HAS_AVX2_2 -- Performing Test CXX_HAS_AVX2_2 - Success -- Performing Test CXX_HAS_AVX512_1 -- Performing Test CXX_HAS_AVX512_1 - Failed -- Performing Test CXX_HAS_AVX512_2 -- Performing Test CXX_HAS_AVX512_2 - Success -- Current compiler supports avx2 extension. Will build perfkernels. -- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX512_EXTENSIONS -- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX512_EXTENSIONS - Success -- Current compiler supports avx512f extension. Will build fbgemm. -- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY -- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY - Success -- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY -- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY - Success -- Performing Test COMPILER_SUPPORTS_RDYNAMIC -- Performing Test COMPILER_SUPPORTS_RDYNAMIC - Failed -- Found CUDA: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0 (found version "13.0") CMake Error at E:/PyTorch_Build/pytorch/rtx5070_env/Lib/site-packages/cmake/data/share/cmake-4.1/Modules/CMakeDetermineCompilerId.cmake:928 (message): Compiling the CUDA compiler identification source file "CMakeCUDACompilerId.cu" failed. Compiler: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/bin/nvcc.exe Build flags: Id flags: --keep;--keep-dir;tmp -v The output was: 1 nvcc fatal : Cannot find compiler 'cl.exe' in PATH Compiling the CUDA compiler identification source file "CMakeCUDACompilerId.cu" failed. Compiler: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/bin/nvcc.exe Build flags: -DLIBCUDACXX_ENABLE_SIMPLIFIED_COMPLEX_OPERATIONS;-Xfatbin;-compress-all Id flags: --keep;--keep-dir;tmp -v The output was: 1 nvcc fatal : Cannot find compiler 'cl.exe' in PATH Call Stack (most recent call first): E:/PyTorch_Build/pytorch/rtx5070_env/Lib/site-packages/cmake/data/share/cmake-4.1/Modules/CMakeDetermineCompilerId.cmake:8 (CMAKE_DETERMINE_COMPILER_ID_BUILD) E:/PyTorch_Build/pytorch/rtx5070_env/Lib/site-packages/cmake/data/share/cmake-4.1/Modules/CMakeDetermineCompilerId.cmake:53 (__determine_compiler_id_test) E:/PyTorch_Build/pytorch/rtx5070_env/Lib/site-packages/cmake/data/share/cmake-4.1/Modules/CMakeDetermineCUDACompiler.cmake:162 (CMAKE_DETERMINE_COMPILER_ID) cmake/public/cuda.cmake:47 (enable_language) cmake/Dependencies.cmake:43 (include) CMakeLists.txt:853 (include) -- Configuring incomplete, errors occurred! (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 创建测试文件 (rtx5070_env) PS E:\PyTorch_Build\pytorch> @' >> #include <iostream> >> int main() { >> std::cout << "Hello from C++ & CUDA toolchain!" << std::endl; >> return 0; >> } >> '@ | Set-Content test.cpp (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 编译测试 (rtx5070_env) PS E:\PyTorch_Build\pytorch> cl.exe test.cpp /EHsc /link kernel32.lib user32.lib gdi32.lib cl.exe: The term 'cl.exe' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. (rtx5070_env) PS E:\PyTorch_Build\pytorch> if (Test-Path test.exe) { >> .\test.exe >> } else { >> Write-Host "编译失败，错误信息:" >> cl.exe test.cpp /EHsc /link kernel32.lib /v >> } 编译失败，错误信息: cl.exe: Line | 5 | cl.exe test.cpp /EHsc /link kernel32.lib /v | ~~~~~~ | The term 'cl.exe' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 1. 设置基本环境变量 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:CUDA_PATH = "E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0" (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:CUDNN_PATH = "E:/Program Files/NVIDIA/CUDNN/v9.12" (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:OpenBLAS_HOME = "E:/Libs/OpenBLAS_Prebuilt" (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:PATH = "$env:CUDA_PATH/bin;$env:OpenBLAS_HOME/bin;$env:PATH" (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 2. 加载 Visual Studio 环境 (rtx5070_env) PS E:\PyTorch_Build\pytorch> & "C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Auxiliary\Build\vcvars64.bat" ********************************************************************** ** Visual Studio 2022 Developer Command Prompt v17.14.13 ** Copyright (c) 2025 Microsoft Corporation ********************************************************************** [vcvarsall.bat] Environment initialized for: 'x64' (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 3. 添加编译器路径 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $clPath = "C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\bin\Hostx64\x64" (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:PATH = "$clPath;$env:PATH" (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 4. 修复 Windows SDK 库路径 (rtx5070_env) PS E:\PyTorch_Build\pytorch> .\fix_kernel32_error.ps1 .\fix_kernel32_error.ps1: The term '.\fix_kernel32_error.ps1' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 5. 验证工具链 (rtx5070_env) PS E:\PyTorch_Build\pytorch> .\verify_toolchain.ps1 .\verify_toolchain.ps1: The term '.\verify_toolchain.ps1' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 6. 准备构建目录 (rtx5070_env) PS E:\PyTorch_Build\pytorch> Set-Location E:\PyTorch_Build\pytorch (rtx5070_env) PS E:\PyTorch_Build\pytorch> Remove-Item build -Recurse -Force -ErrorAction SilentlyContinue (rtx5070_env) PS E:\PyTorch_Build\pytorch> New-Item -Path build -ItemType Directory | Out-Null (rtx5070_env) PS E:\PyTorch_Build\pytorch> Set-Location build (rtx5070_env) PS E:\PyTorch_Build\pytorch\build> (rtx5070_env) PS E:\PyTorch_Build\pytorch\build> # 7. 配置 CMake (rtx5070_env) PS E:\PyTorch_Build\pytorch\build> .\cmake_configure_final.ps1 .\cmake_configure_final.ps1: The term '.\cmake_configure_final.ps1' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. (rtx5070_env) PS E:\PyTorch_Build\pytorch\build> (rtx5070_env) PS E:\PyTorch_Build\pytorch\build> # 8. 编译和安装 (rtx5070_env) PS E:\PyTorch_Build\pytorch\build> if ($LASTEXITCODE -eq 0) { >> cmake --build . --config Release --parallel 8 >> if ($LASTEXITCODE -eq 0) { >> cmake --install . >> } >> } Error: not a CMake build directory (missing CMakeCache.txt) (rtx5070_env) PS E:\PyTorch_Build\pytorch\build> (rtx5070_env) PS E:\PyTorch_Build\pytorch\build> # 9. 验证安装 (rtx5070_env) PS E:\PyTorch_Build\pytorch\build> python -c "import torch; print(f'PyTorch版本: {torch.__version__}'); print(f'CUDA可用: {torch.cuda.is_available()}')" PyTorch版本: 2.8.0+cpu CUDA可用: False (rtx5070_env) PS E:\PyTorch_Build\pytorch\build>
09-03
| `The term 'cl.exe' is not recognized` | PATH中没有编译工具 | 正确加载vcvars64.bat并检查PATH | | `Ignoring extra path from command line` | CMake路径参数错误 | 确保在build目录运行cmake，参数格式正确 |...
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http://www.dotblogs.com.tw/pou/archive/2012/01/01/64089.aspx
启动weblogic 报错
shenghuiping2001的专栏
09-08 1万+
启动weblogic 报错 注意：nohup 和&都是后台启动的命令 ，如果没有nohup 则关掉aix 或者unix 的窗口，server 就会stop
weblogic集群部署 bea-000141错误解决
朽木
09-01 6841
搭建weblogic集群的时候遇到了一个错误，记录在这里，以免以后忘了。 错误日志如下： java.net.NoRouteToHostException: No route to host    at java.net.PlainSocketImpl.socketConnect(Native Method)    at java.net.PlainSocketImpl.doCon
Error on line 19 of document : An invalid XML character (Unicode: 0x16) was found in the element content of the document. Nested exception: An invalid XML character (Unicode: 0x16) was found in the element content of the document."}
08-23
<think>我们正在处理一个XML解析错误：文档元素内容中包含无效的Unicode字符(0x16)。Unicode字符0x16是一个控制字符（属于C0控制字符），在XML 1.0规范中，除了制表符（0x09）、换行（0x0A）和回车（0x0D）之外，其他控制字符都是不允许直接出现在XML文档中的。在XML 1.1中，允许使用更多的控制字符，但需要以转义形式出现（例如使用字符实体引用或数字字符引用）。然而，0x16这个字符在XML 1.1中也是不允许直接出现的。 解决方案通常包括： 1. 在生成XML之前，清理数据，移除或替换无效字符。 2. 在解析XML时，使用解析器设置来忽略或替换这些字符（如果解析器支持）。 具体步骤： 方法一：在生成XML的源头清理数据 如果我们可以控制XML的生成过程，那么应该在数据写入XML之前过滤掉无效字符。例如，在Java中可以使用正则表达式移除无效字符： ```java String sanitized = original.replaceAll("[\\x00-\\x08\\x0B\\x0C\\x0E-\\x1F]", ""); ``` 方法二：在解析时处理（如果解析器支持） 一些XML解析器提供了忽略或替换这些字符的选项。例如，在Java的SAX解析器中，可以设置属性： ```java SAXParserFactory factory = SAXParserFactory.newInstance(); SAXParser parser = factory.newSAXParser(); XMLReader reader = parser.getXMLReader(); reader.setFeature("http://apache.org/xml/features/disallow-doctype-decl", true); // 或者使用自定义的过滤器 ``` 但是，并非所有解析器都支持直接忽略这些字符。另一种方法是使用过滤器（FilterReader）在解析前过滤输入流。 方法三：预处理XML文件 如果我们无法修改生成过程，可以在解析前对XML文件进行预处理，移除无效字符。例如，使用命令行工具（如sed）或编写一个简单的脚本。 在Python中，我们可以这样预处理： ```python import re def remove_invalid_chars(xml_str): # 移除非法的XML 1.0字符（除了制表符、换行、回车） return re.sub(r'[\x00-\x08\x0b\x0c\x0e-\x1f\x7f]', '', xml_str) with open('input.xml', 'r', encoding='utf-8') as f: content = f.read() clean_content = remove_invalid_chars(content) with open('clean.xml', 'w', encoding='utf-8') as f: f.write(clean_content) ``` 注意：0x16（即十进制的22）在正则表达式中可以用`\x16`表示。 方法四：使用字符实体引用 在XML中，我们可以用数字字符引用来表示控制字符，例如``。但是，XML规范不允许在元素内容中直接出现控制字符，所以这种方法并不合法。因此，唯一正确的方法是移除或替换这些字符（例如用空格或空字符串）。 根据问题中引用的错误信息（引用[1]和引用[2]）并不直接相关，但我们可以参考错误处理的思想：确保消息格式正确（避免无效目标）和明确识别设备（避免歧义）。类比到XML解析，我们需要确保XML文档格式正确（移除无效字符）以避免解析错误。 因此，推荐的方法是预处理XML文件，移除无效的Unicode控制字符。 相关问题： 1. 如何检测XML文件中的无效字符？ 2. 除了移除无效字符，还有其他处理方式吗？ 3. 不同编程语言中如何实现XML无效字符的过滤？ 4. XML 1.0和XML 1.1在字符处理上有什么不同？</think>### 解决 XML 解析错误：无效 Unicode 字符 (0x16) XML 规范（XML 1.0 和 1.1）严格限制元素内容中允许的 Unicode 字符。字符 `0x16`（SYNCHRONOUS IDLE，十进制 22）属于 **C0 控制字符**（`0x00-0x1F`），在 XML 中是非法的（除制表符 `0x09`、换行 `0x0A` 和回车 `0x0D` 外）。以下是修复方法： --- #### 方法 1：预处理 XML 数据（推荐） 在解析前移除非法字符： ```python import re def clean_xml(xml_str): # 移除非法的 C0 控制字符（保留制表符、换行、回车） return re.sub(r'[\x00-\x08\x0B\x0C\x0E-\x1F]', '', xml_str) with open("input.xml", "r", encoding="utf-8") as f: dirty_xml = f.read() clean_xml = clean_xml(dirty_xml) # 解析 clean_xml ``` --- #### 方法 2：解析时过滤（依赖解析器） 部分 XML 库支持过滤非法字符： - **Java (SAX)**： ```java SAXParserFactory factory = SAXParserFactory.newInstance(); SAXParser parser = factory.newSAXParser(); parser.parse(input, handler); // 启用 FEATURE_SECURE_PROCESSING 的解析器会自动过滤 ``` - **Python (lxml)**： ```python from lxml import etree parser = etree.XMLParser(recover=True) # 尝试恢复模式 tree = etree.parse("input.xml", parser) ``` --- #### 方法 3：修改数据源 如果控制 XML 生成： 1. **替换非法字符**：将 `0x16` 转换为合法字符（如空格） 2. **编码转义**：使用 Unicode 转义序列 `\u0016`（需确保解析器支持） --- #### 错误原因分析 - `0x16` 通常来自二进制文件误存为文本、编码错误或通信协议残留[^1]。 - XML 规范明确定义合法字符范围（Char 生产规则），控制字符违反格式约束[^2]。 --- ### 相关问题 1. 如何批量检测 XML 文件中的非法 Unicode 字符？ 2. 不同编程语言（Java/Python/C#）中哪些 XML 解析器支持自动过滤控制字符？ 3. XML 1.0 和 XML 1.1 在字符处理规则上有哪些关键区别？ 4. 如何防止数据源生成包含控制字符的 XML？ [^1]: The format of the specified message destination is invalid. [^^2]: The requested system device cannot be identified due to multiple indistinguishable devices potentially matching the identification criteria.
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