[Issue, ML.net CLI] 330GB csv file of data cause a OutOfMemoryException (1/2) #6288

Description

@wil70

System Information (please complete the following information):

  • OS & Version: Win8, latest version as of this bug entry
  • ML.NET Version: 16.13.9
  • .NET Version:6.0.303

Describe the bug
When I start ML.net from CLI, I get a OutOfMemoryException
I have 64GB Ram, I have a 330GB csv file of data.

I tried with
To Reproduce
Steps to reproduce the behavior:

  1. Generate a 330GB file with 4209 columns with random data
  2. open prompt
  3. type in command line:
    mlnet classification --train-time 75600 --name SampleClassification --log-file-path c:\Log_data.txt --has-header true --label-col 4209 --ignore-cols 0,1,4206,4207,4208 --dataset "c:\data.csv" --test-dataset "c:\test_data.csv"
  4. See error log at the end of this message with the OutOfMemoryException

Expected behavior
I expect ml.net to continue and feed the data as it stream it, so there should be no OutOfMemoryException
When I monitor the mknet.exe prices with task manager, the mlnet.exe process doesn't go high at all, like less than ~14GB. So something is not right as I have 64GB and also it shouldn't matter isn't it as .

Screenshots, Code, Sample Projects
Additional context
Here is the log
Start Training
start nni training
Experiment output folder: C:\Users\W\AppData\Local\Temp\AutoML-NNI\Experiment-GET3JS
System.FormatException: Parsing failed with an exception: Stream reading encountered exception
---> System.FormatException: Stream reading encountered exception
---> System.OutOfMemoryException: Exception of type 'System.OutOfMemoryException' was thrown.
at System.Text.StringBuilder.ToString()
at System.IO.StreamReader.ReadLine()
at Microsoft.ML.Data.TextLoader.Cursor.LineReader.ThreadProc()
--- End of inner exception stack trace ---
at Microsoft.ML.Data.TextLoader.Cursor.LineReader.GetBatch()
at Microsoft.ML.Data.TextLoader.Cursor.ParallelState.Parse(Int32 tid)
at Microsoft.ML.Data.TextLoader.Cursor.ParallelState.ThreadProc(Object obj)
--- End of inner exception stack trace ---
at Microsoft.ML.Data.TextLoader.Cursor.ParseParallel(ParallelState state)+MoveNext()
at Microsoft.ML.Data.TextLoader.Cursor.MoveNextCore()
at Microsoft.ML.Data.RootCursorBase.MoveNext()
at Microsoft.ML.ModelBuilder.AutoMLService.Proposer.Controller.CountRows(IDataView data, Int64 maxRows) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Proposer/Controller.cs:line 174
at Microsoft.ML.ModelBuilder.AutoMLService.Proposer.Controller.Initialize() in /
/src/Microsoft.ML.ModelBuilder.AutoMLService/Proposer/Controller.cs:line 111
at Microsoft.ML.ModelBuilder.AutoMLService.Experiments.LocalAutoMLExperiment.ExecuteAsync(IDataView trainData, IDataView validateData, ColumnInformation columnInformation, CancellationToken cancellationToken, CancellationToken timeout) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Experiments/LocalAutoMLExperiment.cs:line 138
at Microsoft.ML.ModelBuilder.AutoMLEngine.StartTrainingAsync(TrainingConfiguration config, PathConfiguration pathConfig, CancellationToken userCancellationToken) in /
/src/Microsoft.ML.ModelBuilder.AutoMLService/AutoMLEngineService/AutoMLEngine.cs:line 160
at Microsoft.ML.CLI.Runners.AutoMLRunner.ExecuteAsync() in //src/mlnet/Runners/AutoMLRunner.cs:line 88
at Microsoft.ML.CLI.Program.TrainAsync(TrainingConfiguration trainingConfiguration, PathConfiguration pathConfig, AutoMLServiceLogLevel logLevel) in /
/src/mlnet/Program.cs:line 348
at Microsoft.ML.CLI.Program.AutoMLCommandRunner(AutoMLCommand command, Boolean skipGenerateConsoleApp) in //src/mlnet/Program.cs:line 329
at Microsoft.ML.CLI.Program.<>c.<b__4_0>d.MoveNext() in /
/src/mlnet/Program.cs:line 89
--- End of stack trace from previous location ---
at System.CommandLine.Invocation.CommandHandler.GetExitCodeAsync(Object value, InvocationContext context)
at System.CommandLine.Invocation.ModelBindingCommandHandler.InvokeAsync(InvocationContext context)
at System.CommandLine.Invocation.InvocationPipeline.<>c__DisplayClass4_0.<b__0>d.MoveNext()
--- End of stack trace from previous location ---
at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass23_0.<b__0>d.MoveNext()
--- End of stack trace from previous location ---
at Microsoft.ML.CLI.Program.<>c__DisplayClass4_0.<b__9>d.MoveNext() in /_/src/mlnet/Program.cs:line 290
--- End of stack trace from previous location ---
at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c.<b__24_0>d.MoveNext()
--- End of stack trace from previous location ---
at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass22_0.<b__0>d.MoveNext()
--- End of stack trace from previous location ---
at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass11_0.<b__0>d.MoveNext()
--- End of stack trace from previous location ---
at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c.<b__10_0>d.MoveNext()
--- End of stack trace from previous location ---
at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass14_0.<b__0>d.MoveNext()
Check out log file for more information: c:\Log_data.txt
Exiting ...

C:\Users\W>'


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      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
       blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
      }
      } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
      })();
      (function(){
      try {
      var __m = "github.com";
      var __re = new RegExp('^' + "github\\.com" + '
      
      Skip to content

      [Issue, ML.net CLI] 330GB csv file of data cause a OutOfMemoryException (1/2) #6288

      Description

      @wil70

      System Information (please complete the following information):

      • OS & Version: Win8, latest version as of this bug entry
      • ML.NET Version: 16.13.9
      • .NET Version:6.0.303

      Describe the bug
      When I start ML.net from CLI, I get a OutOfMemoryException
      I have 64GB Ram, I have a 330GB csv file of data.

      I tried with
      To Reproduce
      Steps to reproduce the behavior:

      1. Generate a 330GB file with 4209 columns with random data
      2. open prompt
      3. type in command line:
        mlnet classification --train-time 75600 --name SampleClassification --log-file-path c:\Log_data.txt --has-header true --label-col 4209 --ignore-cols 0,1,4206,4207,4208 --dataset "c:\data.csv" --test-dataset "c:\test_data.csv"
      4. See error log at the end of this message with the OutOfMemoryException

      Expected behavior
      I expect ml.net to continue and feed the data as it stream it, so there should be no OutOfMemoryException
      When I monitor the mknet.exe prices with task manager, the mlnet.exe process doesn't go high at all, like less than ~14GB. So something is not right as I have 64GB and also it shouldn't matter isn't it as .

      Screenshots, Code, Sample Projects
      Additional context
      Here is the log
      Start Training
      start nni training
      Experiment output folder: C:\Users\W\AppData\Local\Temp\AutoML-NNI\Experiment-GET3JS
      System.FormatException: Parsing failed with an exception: Stream reading encountered exception
      ---> System.FormatException: Stream reading encountered exception
      ---> System.OutOfMemoryException: Exception of type 'System.OutOfMemoryException' was thrown.
      at System.Text.StringBuilder.ToString()
      at System.IO.StreamReader.ReadLine()
      at Microsoft.ML.Data.TextLoader.Cursor.LineReader.ThreadProc()
      --- End of inner exception stack trace ---
      at Microsoft.ML.Data.TextLoader.Cursor.LineReader.GetBatch()
      at Microsoft.ML.Data.TextLoader.Cursor.ParallelState.Parse(Int32 tid)
      at Microsoft.ML.Data.TextLoader.Cursor.ParallelState.ThreadProc(Object obj)
      --- End of inner exception stack trace ---
      at Microsoft.ML.Data.TextLoader.Cursor.ParseParallel(ParallelState state)+MoveNext()
      at Microsoft.ML.Data.TextLoader.Cursor.MoveNextCore()
      at Microsoft.ML.Data.RootCursorBase.MoveNext()
      at Microsoft.ML.ModelBuilder.AutoMLService.Proposer.Controller.CountRows(IDataView data, Int64 maxRows) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Proposer/Controller.cs:line 174
      at Microsoft.ML.ModelBuilder.AutoMLService.Proposer.Controller.Initialize() in /
      /src/Microsoft.ML.ModelBuilder.AutoMLService/Proposer/Controller.cs:line 111
      at Microsoft.ML.ModelBuilder.AutoMLService.Experiments.LocalAutoMLExperiment.ExecuteAsync(IDataView trainData, IDataView validateData, ColumnInformation columnInformation, CancellationToken cancellationToken, CancellationToken timeout) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Experiments/LocalAutoMLExperiment.cs:line 138
      at Microsoft.ML.ModelBuilder.AutoMLEngine.StartTrainingAsync(TrainingConfiguration config, PathConfiguration pathConfig, CancellationToken userCancellationToken) in /
      /src/Microsoft.ML.ModelBuilder.AutoMLService/AutoMLEngineService/AutoMLEngine.cs:line 160
      at Microsoft.ML.CLI.Runners.AutoMLRunner.ExecuteAsync() in //src/mlnet/Runners/AutoMLRunner.cs:line 88
      at Microsoft.ML.CLI.Program.TrainAsync(TrainingConfiguration trainingConfiguration, PathConfiguration pathConfig, AutoMLServiceLogLevel logLevel) in /
      /src/mlnet/Program.cs:line 348
      at Microsoft.ML.CLI.Program.AutoMLCommandRunner(AutoMLCommand command, Boolean skipGenerateConsoleApp) in //src/mlnet/Program.cs:line 329
      at Microsoft.ML.CLI.Program.<>c.<b__4_0>d.MoveNext() in /
      /src/mlnet/Program.cs:line 89
      --- End of stack trace from previous location ---
      at System.CommandLine.Invocation.CommandHandler.GetExitCodeAsync(Object value, InvocationContext context)
      at System.CommandLine.Invocation.ModelBindingCommandHandler.InvokeAsync(InvocationContext context)
      at System.CommandLine.Invocation.InvocationPipeline.<>c__DisplayClass4_0.<b__0>d.MoveNext()
      --- End of stack trace from previous location ---
      at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass23_0.<b__0>d.MoveNext()
      --- End of stack trace from previous location ---
      at Microsoft.ML.CLI.Program.<>c__DisplayClass4_0.<b__9>d.MoveNext() in /_/src/mlnet/Program.cs:line 290
      --- End of stack trace from previous location ---
      at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c.<b__24_0>d.MoveNext()
      --- End of stack trace from previous location ---
      at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass22_0.<b__0>d.MoveNext()
      --- End of stack trace from previous location ---
      at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass11_0.<b__0>d.MoveNext()
      --- End of stack trace from previous location ---
      at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c.<b__10_0>d.MoveNext()
      --- End of stack trace from previous location ---
      at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass14_0.<b__0>d.MoveNext()
      Check out log file for more information: c:\Log_data.txt
      Exiting ...

      C:\Users\W>'


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          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
          Skip to content

          [Issue, ML.net CLI] 330GB csv file of data cause a OutOfMemoryException (1/2) #6288

          Description

          @wil70

          System Information (please complete the following information):

          • OS & Version: Win8, latest version as of this bug entry
          • ML.NET Version: 16.13.9
          • .NET Version:6.0.303

          Describe the bug
          When I start ML.net from CLI, I get a OutOfMemoryException
          I have 64GB Ram, I have a 330GB csv file of data.

          I tried with
          To Reproduce
          Steps to reproduce the behavior:

          1. Generate a 330GB file with 4209 columns with random data
          2. open prompt
          3. type in command line:
            mlnet classification --train-time 75600 --name SampleClassification --log-file-path c:\Log_data.txt --has-header true --label-col 4209 --ignore-cols 0,1,4206,4207,4208 --dataset "c:\data.csv" --test-dataset "c:\test_data.csv"
          4. See error log at the end of this message with the OutOfMemoryException

          Expected behavior
          I expect ml.net to continue and feed the data as it stream it, so there should be no OutOfMemoryException
          When I monitor the mknet.exe prices with task manager, the mlnet.exe process doesn't go high at all, like less than ~14GB. So something is not right as I have 64GB and also it shouldn't matter isn't it as .

          Screenshots, Code, Sample Projects
          Additional context
          Here is the log
          Start Training
          start nni training
          Experiment output folder: C:\Users\W\AppData\Local\Temp\AutoML-NNI\Experiment-GET3JS
          System.FormatException: Parsing failed with an exception: Stream reading encountered exception
          ---> System.FormatException: Stream reading encountered exception
          ---> System.OutOfMemoryException: Exception of type 'System.OutOfMemoryException' was thrown.
          at System.Text.StringBuilder.ToString()
          at System.IO.StreamReader.ReadLine()
          at Microsoft.ML.Data.TextLoader.Cursor.LineReader.ThreadProc()
          --- End of inner exception stack trace ---
          at Microsoft.ML.Data.TextLoader.Cursor.LineReader.GetBatch()
          at Microsoft.ML.Data.TextLoader.Cursor.ParallelState.Parse(Int32 tid)
          at Microsoft.ML.Data.TextLoader.Cursor.ParallelState.ThreadProc(Object obj)
          --- End of inner exception stack trace ---
          at Microsoft.ML.Data.TextLoader.Cursor.ParseParallel(ParallelState state)+MoveNext()
          at Microsoft.ML.Data.TextLoader.Cursor.MoveNextCore()
          at Microsoft.ML.Data.RootCursorBase.MoveNext()
          at Microsoft.ML.ModelBuilder.AutoMLService.Proposer.Controller.CountRows(IDataView data, Int64 maxRows) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Proposer/Controller.cs:line 174
          at Microsoft.ML.ModelBuilder.AutoMLService.Proposer.Controller.Initialize() in /
          /src/Microsoft.ML.ModelBuilder.AutoMLService/Proposer/Controller.cs:line 111
          at Microsoft.ML.ModelBuilder.AutoMLService.Experiments.LocalAutoMLExperiment.ExecuteAsync(IDataView trainData, IDataView validateData, ColumnInformation columnInformation, CancellationToken cancellationToken, CancellationToken timeout) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Experiments/LocalAutoMLExperiment.cs:line 138
          at Microsoft.ML.ModelBuilder.AutoMLEngine.StartTrainingAsync(TrainingConfiguration config, PathConfiguration pathConfig, CancellationToken userCancellationToken) in /
          /src/Microsoft.ML.ModelBuilder.AutoMLService/AutoMLEngineService/AutoMLEngine.cs:line 160
          at Microsoft.ML.CLI.Runners.AutoMLRunner.ExecuteAsync() in //src/mlnet/Runners/AutoMLRunner.cs:line 88
          at Microsoft.ML.CLI.Program.TrainAsync(TrainingConfiguration trainingConfiguration, PathConfiguration pathConfig, AutoMLServiceLogLevel logLevel) in /
          /src/mlnet/Program.cs:line 348
          at Microsoft.ML.CLI.Program.AutoMLCommandRunner(AutoMLCommand command, Boolean skipGenerateConsoleApp) in //src/mlnet/Program.cs:line 329
          at Microsoft.ML.CLI.Program.<>c.<b__4_0>d.MoveNext() in /
          /src/mlnet/Program.cs:line 89
          --- End of stack trace from previous location ---
          at System.CommandLine.Invocation.CommandHandler.GetExitCodeAsync(Object value, InvocationContext context)
          at System.CommandLine.Invocation.ModelBindingCommandHandler.InvokeAsync(InvocationContext context)
          at System.CommandLine.Invocation.InvocationPipeline.<>c__DisplayClass4_0.<b__0>d.MoveNext()
          --- End of stack trace from previous location ---
          at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass23_0.<b__0>d.MoveNext()
          --- End of stack trace from previous location ---
          at Microsoft.ML.CLI.Program.<>c__DisplayClass4_0.<b__9>d.MoveNext() in /_/src/mlnet/Program.cs:line 290
          --- End of stack trace from previous location ---
          at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c.<b__24_0>d.MoveNext()
          --- End of stack trace from previous location ---
          at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass22_0.<b__0>d.MoveNext()
          --- End of stack trace from previous location ---
          at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass11_0.<b__0>d.MoveNext()
          --- End of stack trace from previous location ---
          at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c.<b__10_0>d.MoveNext()
          --- End of stack trace from previous location ---
          at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass14_0.<b__0>d.MoveNext()
          Check out log file for more information: c:\Log_data.txt
          Exiting ...

          C:\Users\W>'


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          Metadata

          Assignees

          No one assigned

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            No labels
            No labels

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            No type

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            No projects

              Milestone

              No milestone

              Relationships

              None yet

              Development

              No branches or pull requests

              Issue actions

              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
              Skip to content

              [Issue, ML.net CLI] 330GB csv file of data cause a OutOfMemoryException (1/2) #6288

              Description

              @wil70

              System Information (please complete the following information):

              • OS & Version: Win8, latest version as of this bug entry
              • ML.NET Version: 16.13.9
              • .NET Version:6.0.303

              Describe the bug
              When I start ML.net from CLI, I get a OutOfMemoryException
              I have 64GB Ram, I have a 330GB csv file of data.

              I tried with
              To Reproduce
              Steps to reproduce the behavior:

              1. Generate a 330GB file with 4209 columns with random data
              2. open prompt
              3. type in command line:
                mlnet classification --train-time 75600 --name SampleClassification --log-file-path c:\Log_data.txt --has-header true --label-col 4209 --ignore-cols 0,1,4206,4207,4208 --dataset "c:\data.csv" --test-dataset "c:\test_data.csv"
              4. See error log at the end of this message with the OutOfMemoryException

              Expected behavior
              I expect ml.net to continue and feed the data as it stream it, so there should be no OutOfMemoryException
              When I monitor the mknet.exe prices with task manager, the mlnet.exe process doesn't go high at all, like less than ~14GB. So something is not right as I have 64GB and also it shouldn't matter isn't it as .

              Screenshots, Code, Sample Projects
              Additional context
              Here is the log
              Start Training
              start nni training
              Experiment output folder: C:\Users\W\AppData\Local\Temp\AutoML-NNI\Experiment-GET3JS
              System.FormatException: Parsing failed with an exception: Stream reading encountered exception
              ---> System.FormatException: Stream reading encountered exception
              ---> System.OutOfMemoryException: Exception of type 'System.OutOfMemoryException' was thrown.
              at System.Text.StringBuilder.ToString()
              at System.IO.StreamReader.ReadLine()
              at Microsoft.ML.Data.TextLoader.Cursor.LineReader.ThreadProc()
              --- End of inner exception stack trace ---
              at Microsoft.ML.Data.TextLoader.Cursor.LineReader.GetBatch()
              at Microsoft.ML.Data.TextLoader.Cursor.ParallelState.Parse(Int32 tid)
              at Microsoft.ML.Data.TextLoader.Cursor.ParallelState.ThreadProc(Object obj)
              --- End of inner exception stack trace ---
              at Microsoft.ML.Data.TextLoader.Cursor.ParseParallel(ParallelState state)+MoveNext()
              at Microsoft.ML.Data.TextLoader.Cursor.MoveNextCore()
              at Microsoft.ML.Data.RootCursorBase.MoveNext()
              at Microsoft.ML.ModelBuilder.AutoMLService.Proposer.Controller.CountRows(IDataView data, Int64 maxRows) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Proposer/Controller.cs:line 174
              at Microsoft.ML.ModelBuilder.AutoMLService.Proposer.Controller.Initialize() in /
              /src/Microsoft.ML.ModelBuilder.AutoMLService/Proposer/Controller.cs:line 111
              at Microsoft.ML.ModelBuilder.AutoMLService.Experiments.LocalAutoMLExperiment.ExecuteAsync(IDataView trainData, IDataView validateData, ColumnInformation columnInformation, CancellationToken cancellationToken, CancellationToken timeout) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Experiments/LocalAutoMLExperiment.cs:line 138
              at Microsoft.ML.ModelBuilder.AutoMLEngine.StartTrainingAsync(TrainingConfiguration config, PathConfiguration pathConfig, CancellationToken userCancellationToken) in /
              /src/Microsoft.ML.ModelBuilder.AutoMLService/AutoMLEngineService/AutoMLEngine.cs:line 160
              at Microsoft.ML.CLI.Runners.AutoMLRunner.ExecuteAsync() in //src/mlnet/Runners/AutoMLRunner.cs:line 88
              at Microsoft.ML.CLI.Program.TrainAsync(TrainingConfiguration trainingConfiguration, PathConfiguration pathConfig, AutoMLServiceLogLevel logLevel) in /
              /src/mlnet/Program.cs:line 348
              at Microsoft.ML.CLI.Program.AutoMLCommandRunner(AutoMLCommand command, Boolean skipGenerateConsoleApp) in //src/mlnet/Program.cs:line 329
              at Microsoft.ML.CLI.Program.<>c.<b__4_0>d.MoveNext() in /
              /src/mlnet/Program.cs:line 89
              --- End of stack trace from previous location ---
              at System.CommandLine.Invocation.CommandHandler.GetExitCodeAsync(Object value, InvocationContext context)
              at System.CommandLine.Invocation.ModelBindingCommandHandler.InvokeAsync(InvocationContext context)
              at System.CommandLine.Invocation.InvocationPipeline.<>c__DisplayClass4_0.<b__0>d.MoveNext()
              --- End of stack trace from previous location ---
              at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass23_0.<b__0>d.MoveNext()
              --- End of stack trace from previous location ---
              at Microsoft.ML.CLI.Program.<>c__DisplayClass4_0.<b__9>d.MoveNext() in /_/src/mlnet/Program.cs:line 290
              --- End of stack trace from previous location ---
              at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c.<b__24_0>d.MoveNext()
              --- End of stack trace from previous location ---
              at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass22_0.<b__0>d.MoveNext()
              --- End of stack trace from previous location ---
              at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass11_0.<b__0>d.MoveNext()
              --- End of stack trace from previous location ---
              at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c.<b__10_0>d.MoveNext()
              --- End of stack trace from previous location ---
              at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass14_0.<b__0>d.MoveNext()
              Check out log file for more information: c:\Log_data.txt
              Exiting ...

              C:\Users\W>'


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                  , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
                  Skip to content

                  [Issue, ML.net CLI] 330GB csv file of data cause a OutOfMemoryException (1/2) #6288

                  Description

                  @wil70

                  System Information (please complete the following information):

                  • OS & Version: Win8, latest version as of this bug entry
                  • ML.NET Version: 16.13.9
                  • .NET Version:6.0.303

                  Describe the bug
                  When I start ML.net from CLI, I get a OutOfMemoryException
                  I have 64GB Ram, I have a 330GB csv file of data.

                  I tried with
                  To Reproduce
                  Steps to reproduce the behavior:

                  1. Generate a 330GB file with 4209 columns with random data
                  2. open prompt
                  3. type in command line:
                    mlnet classification --train-time 75600 --name SampleClassification --log-file-path c:\Log_data.txt --has-header true --label-col 4209 --ignore-cols 0,1,4206,4207,4208 --dataset "c:\data.csv" --test-dataset "c:\test_data.csv"
                  4. See error log at the end of this message with the OutOfMemoryException

                  Expected behavior
                  I expect ml.net to continue and feed the data as it stream it, so there should be no OutOfMemoryException
                  When I monitor the mknet.exe prices with task manager, the mlnet.exe process doesn't go high at all, like less than ~14GB. So something is not right as I have 64GB and also it shouldn't matter isn't it as .

                  Screenshots, Code, Sample Projects
                  Additional context
                  Here is the log
                  Start Training
                  start nni training
                  Experiment output folder: C:\Users\W\AppData\Local\Temp\AutoML-NNI\Experiment-GET3JS
                  System.FormatException: Parsing failed with an exception: Stream reading encountered exception
                  ---> System.FormatException: Stream reading encountered exception
                  ---> System.OutOfMemoryException: Exception of type 'System.OutOfMemoryException' was thrown.
                  at System.Text.StringBuilder.ToString()
                  at System.IO.StreamReader.ReadLine()
                  at Microsoft.ML.Data.TextLoader.Cursor.LineReader.ThreadProc()
                  --- End of inner exception stack trace ---
                  at Microsoft.ML.Data.TextLoader.Cursor.LineReader.GetBatch()
                  at Microsoft.ML.Data.TextLoader.Cursor.ParallelState.Parse(Int32 tid)
                  at Microsoft.ML.Data.TextLoader.Cursor.ParallelState.ThreadProc(Object obj)
                  --- End of inner exception stack trace ---
                  at Microsoft.ML.Data.TextLoader.Cursor.ParseParallel(ParallelState state)+MoveNext()
                  at Microsoft.ML.Data.TextLoader.Cursor.MoveNextCore()
                  at Microsoft.ML.Data.RootCursorBase.MoveNext()
                  at Microsoft.ML.ModelBuilder.AutoMLService.Proposer.Controller.CountRows(IDataView data, Int64 maxRows) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Proposer/Controller.cs:line 174
                  at Microsoft.ML.ModelBuilder.AutoMLService.Proposer.Controller.Initialize() in /
                  /src/Microsoft.ML.ModelBuilder.AutoMLService/Proposer/Controller.cs:line 111
                  at Microsoft.ML.ModelBuilder.AutoMLService.Experiments.LocalAutoMLExperiment.ExecuteAsync(IDataView trainData, IDataView validateData, ColumnInformation columnInformation, CancellationToken cancellationToken, CancellationToken timeout) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Experiments/LocalAutoMLExperiment.cs:line 138
                  at Microsoft.ML.ModelBuilder.AutoMLEngine.StartTrainingAsync(TrainingConfiguration config, PathConfiguration pathConfig, CancellationToken userCancellationToken) in /
                  /src/Microsoft.ML.ModelBuilder.AutoMLService/AutoMLEngineService/AutoMLEngine.cs:line 160
                  at Microsoft.ML.CLI.Runners.AutoMLRunner.ExecuteAsync() in //src/mlnet/Runners/AutoMLRunner.cs:line 88
                  at Microsoft.ML.CLI.Program.TrainAsync(TrainingConfiguration trainingConfiguration, PathConfiguration pathConfig, AutoMLServiceLogLevel logLevel) in /
                  /src/mlnet/Program.cs:line 348
                  at Microsoft.ML.CLI.Program.AutoMLCommandRunner(AutoMLCommand command, Boolean skipGenerateConsoleApp) in //src/mlnet/Program.cs:line 329
                  at Microsoft.ML.CLI.Program.<>c.<b__4_0>d.MoveNext() in /
                  /src/mlnet/Program.cs:line 89
                  --- End of stack trace from previous location ---
                  at System.CommandLine.Invocation.CommandHandler.GetExitCodeAsync(Object value, InvocationContext context)
                  at System.CommandLine.Invocation.ModelBindingCommandHandler.InvokeAsync(InvocationContext context)
                  at System.CommandLine.Invocation.InvocationPipeline.<>c__DisplayClass4_0.<b__0>d.MoveNext()
                  --- End of stack trace from previous location ---
                  at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass23_0.<b__0>d.MoveNext()
                  --- End of stack trace from previous location ---
                  at Microsoft.ML.CLI.Program.<>c__DisplayClass4_0.<b__9>d.MoveNext() in /_/src/mlnet/Program.cs:line 290
                  --- End of stack trace from previous location ---
                  at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c.<b__24_0>d.MoveNext()
                  --- End of stack trace from previous location ---
                  at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass22_0.<b__0>d.MoveNext()
                  --- End of stack trace from previous location ---
                  at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass11_0.<b__0>d.MoveNext()
                  --- End of stack trace from previous location ---
                  at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c.<b__10_0>d.MoveNext()
                  --- End of stack trace from previous location ---
                  at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass14_0.<b__0>d.MoveNext()
                  Check out log file for more information: c:\Log_data.txt
                  Exiting ...

                  C:\Users\W>'


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                  No one assigned

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                      None yet

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                      No branches or pull requests

                      Issue actions

                      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
                      Skip to content

                      [Issue, ML.net CLI] 330GB csv file of data cause a OutOfMemoryException (1/2) #6288

                      Description

                      @wil70

                      System Information (please complete the following information):

                      • OS & Version: Win8, latest version as of this bug entry
                      • ML.NET Version: 16.13.9
                      • .NET Version:6.0.303

                      Describe the bug
                      When I start ML.net from CLI, I get a OutOfMemoryException
                      I have 64GB Ram, I have a 330GB csv file of data.

                      I tried with
                      To Reproduce
                      Steps to reproduce the behavior:

                      1. Generate a 330GB file with 4209 columns with random data
                      2. open prompt
                      3. type in command line:
                        mlnet classification --train-time 75600 --name SampleClassification --log-file-path c:\Log_data.txt --has-header true --label-col 4209 --ignore-cols 0,1,4206,4207,4208 --dataset "c:\data.csv" --test-dataset "c:\test_data.csv"
                      4. See error log at the end of this message with the OutOfMemoryException

                      Expected behavior
                      I expect ml.net to continue and feed the data as it stream it, so there should be no OutOfMemoryException
                      When I monitor the mknet.exe prices with task manager, the mlnet.exe process doesn't go high at all, like less than ~14GB. So something is not right as I have 64GB and also it shouldn't matter isn't it as .

                      Screenshots, Code, Sample Projects
                      Additional context
                      Here is the log
                      Start Training
                      start nni training
                      Experiment output folder: C:\Users\W\AppData\Local\Temp\AutoML-NNI\Experiment-GET3JS
                      System.FormatException: Parsing failed with an exception: Stream reading encountered exception
                      ---> System.FormatException: Stream reading encountered exception
                      ---> System.OutOfMemoryException: Exception of type 'System.OutOfMemoryException' was thrown.
                      at System.Text.StringBuilder.ToString()
                      at System.IO.StreamReader.ReadLine()
                      at Microsoft.ML.Data.TextLoader.Cursor.LineReader.ThreadProc()
                      --- End of inner exception stack trace ---
                      at Microsoft.ML.Data.TextLoader.Cursor.LineReader.GetBatch()
                      at Microsoft.ML.Data.TextLoader.Cursor.ParallelState.Parse(Int32 tid)
                      at Microsoft.ML.Data.TextLoader.Cursor.ParallelState.ThreadProc(Object obj)
                      --- End of inner exception stack trace ---
                      at Microsoft.ML.Data.TextLoader.Cursor.ParseParallel(ParallelState state)+MoveNext()
                      at Microsoft.ML.Data.TextLoader.Cursor.MoveNextCore()
                      at Microsoft.ML.Data.RootCursorBase.MoveNext()
                      at Microsoft.ML.ModelBuilder.AutoMLService.Proposer.Controller.CountRows(IDataView data, Int64 maxRows) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Proposer/Controller.cs:line 174
                      at Microsoft.ML.ModelBuilder.AutoMLService.Proposer.Controller.Initialize() in /
                      /src/Microsoft.ML.ModelBuilder.AutoMLService/Proposer/Controller.cs:line 111
                      at Microsoft.ML.ModelBuilder.AutoMLService.Experiments.LocalAutoMLExperiment.ExecuteAsync(IDataView trainData, IDataView validateData, ColumnInformation columnInformation, CancellationToken cancellationToken, CancellationToken timeout) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Experiments/LocalAutoMLExperiment.cs:line 138
                      at Microsoft.ML.ModelBuilder.AutoMLEngine.StartTrainingAsync(TrainingConfiguration config, PathConfiguration pathConfig, CancellationToken userCancellationToken) in /
                      /src/Microsoft.ML.ModelBuilder.AutoMLService/AutoMLEngineService/AutoMLEngine.cs:line 160
                      at Microsoft.ML.CLI.Runners.AutoMLRunner.ExecuteAsync() in //src/mlnet/Runners/AutoMLRunner.cs:line 88
                      at Microsoft.ML.CLI.Program.TrainAsync(TrainingConfiguration trainingConfiguration, PathConfiguration pathConfig, AutoMLServiceLogLevel logLevel) in /
                      /src/mlnet/Program.cs:line 348
                      at Microsoft.ML.CLI.Program.AutoMLCommandRunner(AutoMLCommand command, Boolean skipGenerateConsoleApp) in //src/mlnet/Program.cs:line 329
                      at Microsoft.ML.CLI.Program.<>c.<b__4_0>d.MoveNext() in /
                      /src/mlnet/Program.cs:line 89
                      --- End of stack trace from previous location ---
                      at System.CommandLine.Invocation.CommandHandler.GetExitCodeAsync(Object value, InvocationContext context)
                      at System.CommandLine.Invocation.ModelBindingCommandHandler.InvokeAsync(InvocationContext context)
                      at System.CommandLine.Invocation.InvocationPipeline.<>c__DisplayClass4_0.<b__0>d.MoveNext()
                      --- End of stack trace from previous location ---
                      at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass23_0.<b__0>d.MoveNext()
                      --- End of stack trace from previous location ---
                      at Microsoft.ML.CLI.Program.<>c__DisplayClass4_0.<b__9>d.MoveNext() in /_/src/mlnet/Program.cs:line 290
                      --- End of stack trace from previous location ---
                      at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c.<b__24_0>d.MoveNext()
                      --- End of stack trace from previous location ---
                      at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass22_0.<b__0>d.MoveNext()
                      --- End of stack trace from previous location ---
                      at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass11_0.<b__0>d.MoveNext()
                      --- End of stack trace from previous location ---
                      at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c.<b__10_0>d.MoveNext()
                      --- End of stack trace from previous location ---
                      at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass14_0.<b__0>d.MoveNext()
                      Check out log file for more information: c:\Log_data.txt
                      Exiting ...

                      C:\Users\W>'


                      Metadata

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                      Assignees

                      No one assigned

                        Labels

                        No labels
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                          No milestone

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                          None yet

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                          No branches or pull requests

                          Issue actions

                          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
                          Skip to content

                          [Issue, ML.net CLI] 330GB csv file of data cause a OutOfMemoryException (1/2) #6288

                          Description

                          @wil70

                          System Information (please complete the following information):

                          • OS & Version: Win8, latest version as of this bug entry
                          • ML.NET Version: 16.13.9
                          • .NET Version:6.0.303

                          Describe the bug
                          When I start ML.net from CLI, I get a OutOfMemoryException
                          I have 64GB Ram, I have a 330GB csv file of data.

                          I tried with
                          To Reproduce
                          Steps to reproduce the behavior:

                          1. Generate a 330GB file with 4209 columns with random data
                          2. open prompt
                          3. type in command line:
                            mlnet classification --train-time 75600 --name SampleClassification --log-file-path c:\Log_data.txt --has-header true --label-col 4209 --ignore-cols 0,1,4206,4207,4208 --dataset "c:\data.csv" --test-dataset "c:\test_data.csv"
                          4. See error log at the end of this message with the OutOfMemoryException

                          Expected behavior
                          I expect ml.net to continue and feed the data as it stream it, so there should be no OutOfMemoryException
                          When I monitor the mknet.exe prices with task manager, the mlnet.exe process doesn't go high at all, like less than ~14GB. So something is not right as I have 64GB and also it shouldn't matter isn't it as .

                          Screenshots, Code, Sample Projects
                          Additional context
                          Here is the log
                          Start Training
                          start nni training
                          Experiment output folder: C:\Users\W\AppData\Local\Temp\AutoML-NNI\Experiment-GET3JS
                          System.FormatException: Parsing failed with an exception: Stream reading encountered exception
                          ---> System.FormatException: Stream reading encountered exception
                          ---> System.OutOfMemoryException: Exception of type 'System.OutOfMemoryException' was thrown.
                          at System.Text.StringBuilder.ToString()
                          at System.IO.StreamReader.ReadLine()
                          at Microsoft.ML.Data.TextLoader.Cursor.LineReader.ThreadProc()
                          --- End of inner exception stack trace ---
                          at Microsoft.ML.Data.TextLoader.Cursor.LineReader.GetBatch()
                          at Microsoft.ML.Data.TextLoader.Cursor.ParallelState.Parse(Int32 tid)
                          at Microsoft.ML.Data.TextLoader.Cursor.ParallelState.ThreadProc(Object obj)
                          --- End of inner exception stack trace ---
                          at Microsoft.ML.Data.TextLoader.Cursor.ParseParallel(ParallelState state)+MoveNext()
                          at Microsoft.ML.Data.TextLoader.Cursor.MoveNextCore()
                          at Microsoft.ML.Data.RootCursorBase.MoveNext()
                          at Microsoft.ML.ModelBuilder.AutoMLService.Proposer.Controller.CountRows(IDataView data, Int64 maxRows) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Proposer/Controller.cs:line 174
                          at Microsoft.ML.ModelBuilder.AutoMLService.Proposer.Controller.Initialize() in /
                          /src/Microsoft.ML.ModelBuilder.AutoMLService/Proposer/Controller.cs:line 111
                          at Microsoft.ML.ModelBuilder.AutoMLService.Experiments.LocalAutoMLExperiment.ExecuteAsync(IDataView trainData, IDataView validateData, ColumnInformation columnInformation, CancellationToken cancellationToken, CancellationToken timeout) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Experiments/LocalAutoMLExperiment.cs:line 138
                          at Microsoft.ML.ModelBuilder.AutoMLEngine.StartTrainingAsync(TrainingConfiguration config, PathConfiguration pathConfig, CancellationToken userCancellationToken) in /
                          /src/Microsoft.ML.ModelBuilder.AutoMLService/AutoMLEngineService/AutoMLEngine.cs:line 160
                          at Microsoft.ML.CLI.Runners.AutoMLRunner.ExecuteAsync() in //src/mlnet/Runners/AutoMLRunner.cs:line 88
                          at Microsoft.ML.CLI.Program.TrainAsync(TrainingConfiguration trainingConfiguration, PathConfiguration pathConfig, AutoMLServiceLogLevel logLevel) in /
                          /src/mlnet/Program.cs:line 348
                          at Microsoft.ML.CLI.Program.AutoMLCommandRunner(AutoMLCommand command, Boolean skipGenerateConsoleApp) in //src/mlnet/Program.cs:line 329
                          at Microsoft.ML.CLI.Program.<>c.<b__4_0>d.MoveNext() in /
                          /src/mlnet/Program.cs:line 89
                          --- End of stack trace from previous location ---
                          at System.CommandLine.Invocation.CommandHandler.GetExitCodeAsync(Object value, InvocationContext context)
                          at System.CommandLine.Invocation.ModelBindingCommandHandler.InvokeAsync(InvocationContext context)
                          at System.CommandLine.Invocation.InvocationPipeline.<>c__DisplayClass4_0.<b__0>d.MoveNext()
                          --- End of stack trace from previous location ---
                          at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass23_0.<b__0>d.MoveNext()
                          --- End of stack trace from previous location ---
                          at Microsoft.ML.CLI.Program.<>c__DisplayClass4_0.<b__9>d.MoveNext() in /_/src/mlnet/Program.cs:line 290
                          --- End of stack trace from previous location ---
                          at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c.<b__24_0>d.MoveNext()
                          --- End of stack trace from previous location ---
                          at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass22_0.<b__0>d.MoveNext()
                          --- End of stack trace from previous location ---
                          at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass11_0.<b__0>d.MoveNext()
                          --- End of stack trace from previous location ---
                          at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c.<b__10_0>d.MoveNext()
                          --- End of stack trace from previous location ---
                          at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass14_0.<b__0>d.MoveNext()
                          Check out log file for more information: c:\Log_data.txt
                          Exiting ...

                          C:\Users\W>'


                          Metadata

                          Metadata

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                          No one assigned

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                            No labels
                            No labels

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                            No type

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                            No projects

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                              No milestone

                              Relationships

                              None yet

                              Development

                              No branches or pull requests

                              Issue actions

                              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
                              Skip to content

                              [Issue, ML.net CLI] 330GB csv file of data cause a OutOfMemoryException (1/2) #6288

                              Description

                              @wil70

                              System Information (please complete the following information):

                              • OS & Version: Win8, latest version as of this bug entry
                              • ML.NET Version: 16.13.9
                              • .NET Version:6.0.303

                              Describe the bug
                              When I start ML.net from CLI, I get a OutOfMemoryException
                              I have 64GB Ram, I have a 330GB csv file of data.

                              I tried with
                              To Reproduce
                              Steps to reproduce the behavior:

                              1. Generate a 330GB file with 4209 columns with random data
                              2. open prompt
                              3. type in command line:
                                mlnet classification --train-time 75600 --name SampleClassification --log-file-path c:\Log_data.txt --has-header true --label-col 4209 --ignore-cols 0,1,4206,4207,4208 --dataset "c:\data.csv" --test-dataset "c:\test_data.csv"
                              4. See error log at the end of this message with the OutOfMemoryException

                              Expected behavior
                              I expect ml.net to continue and feed the data as it stream it, so there should be no OutOfMemoryException
                              When I monitor the mknet.exe prices with task manager, the mlnet.exe process doesn't go high at all, like less than ~14GB. So something is not right as I have 64GB and also it shouldn't matter isn't it as .

                              Screenshots, Code, Sample Projects
                              Additional context
                              Here is the log
                              Start Training
                              start nni training
                              Experiment output folder: C:\Users\W\AppData\Local\Temp\AutoML-NNI\Experiment-GET3JS
                              System.FormatException: Parsing failed with an exception: Stream reading encountered exception
                              ---> System.FormatException: Stream reading encountered exception
                              ---> System.OutOfMemoryException: Exception of type 'System.OutOfMemoryException' was thrown.
                              at System.Text.StringBuilder.ToString()
                              at System.IO.StreamReader.ReadLine()
                              at Microsoft.ML.Data.TextLoader.Cursor.LineReader.ThreadProc()
                              --- End of inner exception stack trace ---
                              at Microsoft.ML.Data.TextLoader.Cursor.LineReader.GetBatch()
                              at Microsoft.ML.Data.TextLoader.Cursor.ParallelState.Parse(Int32 tid)
                              at Microsoft.ML.Data.TextLoader.Cursor.ParallelState.ThreadProc(Object obj)
                              --- End of inner exception stack trace ---
                              at Microsoft.ML.Data.TextLoader.Cursor.ParseParallel(ParallelState state)+MoveNext()
                              at Microsoft.ML.Data.TextLoader.Cursor.MoveNextCore()
                              at Microsoft.ML.Data.RootCursorBase.MoveNext()
                              at Microsoft.ML.ModelBuilder.AutoMLService.Proposer.Controller.CountRows(IDataView data, Int64 maxRows) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Proposer/Controller.cs:line 174
                              at Microsoft.ML.ModelBuilder.AutoMLService.Proposer.Controller.Initialize() in /
                              /src/Microsoft.ML.ModelBuilder.AutoMLService/Proposer/Controller.cs:line 111
                              at Microsoft.ML.ModelBuilder.AutoMLService.Experiments.LocalAutoMLExperiment.ExecuteAsync(IDataView trainData, IDataView validateData, ColumnInformation columnInformation, CancellationToken cancellationToken, CancellationToken timeout) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Experiments/LocalAutoMLExperiment.cs:line 138
                              at Microsoft.ML.ModelBuilder.AutoMLEngine.StartTrainingAsync(TrainingConfiguration config, PathConfiguration pathConfig, CancellationToken userCancellationToken) in /
                              /src/Microsoft.ML.ModelBuilder.AutoMLService/AutoMLEngineService/AutoMLEngine.cs:line 160
                              at Microsoft.ML.CLI.Runners.AutoMLRunner.ExecuteAsync() in //src/mlnet/Runners/AutoMLRunner.cs:line 88
                              at Microsoft.ML.CLI.Program.TrainAsync(TrainingConfiguration trainingConfiguration, PathConfiguration pathConfig, AutoMLServiceLogLevel logLevel) in /
                              /src/mlnet/Program.cs:line 348
                              at Microsoft.ML.CLI.Program.AutoMLCommandRunner(AutoMLCommand command, Boolean skipGenerateConsoleApp) in //src/mlnet/Program.cs:line 329
                              at Microsoft.ML.CLI.Program.<>c.<b__4_0>d.MoveNext() in /
                              /src/mlnet/Program.cs:line 89
                              --- End of stack trace from previous location ---
                              at System.CommandLine.Invocation.CommandHandler.GetExitCodeAsync(Object value, InvocationContext context)
                              at System.CommandLine.Invocation.ModelBindingCommandHandler.InvokeAsync(InvocationContext context)
                              at System.CommandLine.Invocation.InvocationPipeline.<>c__DisplayClass4_0.<b__0>d.MoveNext()
                              --- End of stack trace from previous location ---
                              at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass23_0.<b__0>d.MoveNext()
                              --- End of stack trace from previous location ---
                              at Microsoft.ML.CLI.Program.<>c__DisplayClass4_0.<b__9>d.MoveNext() in /_/src/mlnet/Program.cs:line 290
                              --- End of stack trace from previous location ---
                              at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c.<b__24_0>d.MoveNext()
                              --- End of stack trace from previous location ---
                              at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass22_0.<b__0>d.MoveNext()
                              --- End of stack trace from previous location ---
                              at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass11_0.<b__0>d.MoveNext()
                              --- End of stack trace from previous location ---
                              at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c.<b__10_0>d.MoveNext()
                              --- End of stack trace from previous location ---
                              at System.CommandLine.Builder.CommandLineBuilderExtensions.<>c__DisplayClass14_0.<b__0>d.MoveNext()
                              Check out log file for more information: c:\Log_data.txt
                              Exiting ...

                              C:\Users\W>'


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