Specifying SQL Server column data type, similar to dtype in pd.to_sql() #319

Closed
Closed
Specifying SQL Server column data type, similar to dtype in pd.to_sql()#319
Labels
questionFurther information is requested

Description

@HansOlavMyklebust
HansOlavMyklebust
opened on Apr 29, 2022

First Check

  • I added a very descriptive title to this issue.
  • I used the GitHub search to find a similar issue and didn't find it.
  • I searched the SQLModel documentation, with the integrated search.
  • I already searched in Google "How to X in SQLModel" and didn't find any information.
  • I already read and followed all the tutorial in the docs and didn't find an answer.
  • I already checked if it is not related to SQLModel but to Pydantic.
  • I already checked if it is not related to SQLModel but to SQLAlchemy.

Commit to Help

  • I commit to help with one of those options 👆

Example Code

fromtypingimportOptionalfromsqlmodelimportField, SQLModelfromsqlalchemy.typingimportNVARCHARclassHero(SQLModel, table=True):
id: str=Field(default=None, primary_key=True, dtype=NVARCHAR(32))
name: strsecret_name: strage: Optional[int] =None

Description

Create a SQLModel that contains a mapping between python type (e.g str) and SQL Server column type (e.g NVARCHAR(32)). This is possible to do when using pandas to_sql() by specifying the dtype-argument.

Operating System

Linux, Windows

Operating System Details

No response

SQLModel Version

0.0.6

Python Version

Python 3.9.7

Additional Context

No response

Metadata

Metadata

Assignees

No one assigned

    Labels

    questionFurther information is requested

    Type

    No type

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions

      , '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
      Specifying SQL Server column data type, similar to dtype in pd.to_sql() #319
      Closed
      Closed
      Specifying SQL Server column data type, similar to dtype in pd.to_sql()#319
      Labels
      questionFurther information is requested
      Description
      @HansOlavMyklebust
      HansOlavMyklebust
      opened on Apr 29, 2022
      First Check
      •  I added a very descriptive title to this issue.
      •  I used the GitHub search to find a similar issue and didn't find it.
      •  I searched the SQLModel documentation, with the integrated search.
      •  I already searched in Google "How to X in SQLModel" and didn't find any information.
      •  I already read and followed all the tutorial in the docs and didn't find an answer.
      •  I already checked if it is not related to SQLModel but to Pydantic.
      •  I already checked if it is not related to SQLModel but to SQLAlchemy.
      Commit to Help
      •  I commit to help with one of those options 👆
      Example Code
      fromtypingimportOptionalfromsqlmodelimportField, SQLModelfromsqlalchemy.typingimportNVARCHARclassHero(SQLModel, table=True):
id: str=Field(default=None, primary_key=True, dtype=NVARCHAR(32))
name: strsecret_name: strage: Optional[int] =None
      Description
      Create a SQLModel that contains a mapping between python type (e.g str) and SQL Server column type (e.g NVARCHAR(32)). This is possible to do when using pandas to_sql() by specifying the dtype-argument.
      Operating System
      Linux, Windows
      Operating System Details
      No response
      SQLModel Version
      0.0.6
      Python Version
      Python 3.9.7
      Additional Context
      No response
      Metadata
      Metadata
      Assignees
      No one assigned
        Labels
        questionFurther information is requested
        Type
        No type
        Projects
        No projects
          Milestone
          No milestone
          Relationships
          None yet
          Development
          No branches or pull requests
          Issue actions
          
, '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
          Specifying SQL Server column data type, similar to dtype in pd.to_sql() #319
          Closed
          Closed
          Specifying SQL Server column data type, similar to dtype in pd.to_sql()#319
          Labels
          questionFurther information is requested
          Description
          @HansOlavMyklebust
          HansOlavMyklebust
          opened on Apr 29, 2022
          First Check
          •  I added a very descriptive title to this issue.
          •  I used the GitHub search to find a similar issue and didn't find it.
          •  I searched the SQLModel documentation, with the integrated search.
          •  I already searched in Google "How to X in SQLModel" and didn't find any information.
          •  I already read and followed all the tutorial in the docs and didn't find an answer.
          •  I already checked if it is not related to SQLModel but to Pydantic.
          •  I already checked if it is not related to SQLModel but to SQLAlchemy.
          Commit to Help
          •  I commit to help with one of those options 👆
          Example Code
          fromtypingimportOptionalfromsqlmodelimportField, SQLModelfromsqlalchemy.typingimportNVARCHARclassHero(SQLModel, table=True):
id: str=Field(default=None, primary_key=True, dtype=NVARCHAR(32))
name: strsecret_name: strage: Optional[int] =None
          Description
          Create a SQLModel that contains a mapping between python type (e.g str) and SQL Server column type (e.g NVARCHAR(32)). This is possible to do when using pandas to_sql() by specifying the dtype-argument.
          Operating System
          Linux, Windows
          Operating System Details
          No response
          SQLModel Version
          0.0.6
          Python Version
          Python 3.9.7
          Additional Context
          No response
          Metadata
          Metadata
          Assignees
          No one assigned
            Labels
            questionFurther information is requested
            Type
            No type
            Projects
            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
              Specifying SQL Server column data type, similar to dtype in pd.to_sql() #319
              Closed
              Closed
              Specifying SQL Server column data type, similar to dtype in pd.to_sql()#319
              Labels
              questionFurther information is requested
              Description
              @HansOlavMyklebust
              HansOlavMyklebust
              opened on Apr 29, 2022
              First Check
              •  I added a very descriptive title to this issue.
              •  I used the GitHub search to find a similar issue and didn't find it.
              •  I searched the SQLModel documentation, with the integrated search.
              •  I already searched in Google "How to X in SQLModel" and didn't find any information.
              •  I already read and followed all the tutorial in the docs and didn't find an answer.
              •  I already checked if it is not related to SQLModel but to Pydantic.
              •  I already checked if it is not related to SQLModel but to SQLAlchemy.
              Commit to Help
              •  I commit to help with one of those options 👆
              Example Code
              fromtypingimportOptionalfromsqlmodelimportField, SQLModelfromsqlalchemy.typingimportNVARCHARclassHero(SQLModel, table=True):
id: str=Field(default=None, primary_key=True, dtype=NVARCHAR(32))
name: strsecret_name: strage: Optional[int] =None
              Description
              Create a SQLModel that contains a mapping between python type (e.g str) and SQL Server column type (e.g NVARCHAR(32)). This is possible to do when using pandas to_sql() by specifying the dtype-argument.
              Operating System
              Linux, Windows
              Operating System Details
              No response
              SQLModel Version
              0.0.6
              Python Version
              Python 3.9.7
              Additional Context
              No response
              Metadata
              Metadata
              Assignees
              No one assigned
                Labels
                questionFurther information is requested
                Type
                No type
                Projects
                No projects
                  Milestone
                  No milestone
                  Relationships
                  None yet
                  Development
                  No branches or pull requests
                  Issue actions
                  
, '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
                  Specifying SQL Server column data type, similar to dtype in pd.to_sql() #319
                  Closed
                  Closed
                  Specifying SQL Server column data type, similar to dtype in pd.to_sql()#319
                  Labels
                  questionFurther information is requested
                  Description
                  @HansOlavMyklebust
                  HansOlavMyklebust
                  opened on Apr 29, 2022
                  First Check
                  •  I added a very descriptive title to this issue.
                  •  I used the GitHub search to find a similar issue and didn't find it.
                  •  I searched the SQLModel documentation, with the integrated search.
                  •  I already searched in Google "How to X in SQLModel" and didn't find any information.
                  •  I already read and followed all the tutorial in the docs and didn't find an answer.
                  •  I already checked if it is not related to SQLModel but to Pydantic.
                  •  I already checked if it is not related to SQLModel but to SQLAlchemy.
                  Commit to Help
                  •  I commit to help with one of those options 👆
                  Example Code
                  fromtypingimportOptionalfromsqlmodelimportField, SQLModelfromsqlalchemy.typingimportNVARCHARclassHero(SQLModel, table=True):
id: str=Field(default=None, primary_key=True, dtype=NVARCHAR(32))
name: strsecret_name: strage: Optional[int] =None
                  Description
                  Create a SQLModel that contains a mapping between python type (e.g str) and SQL Server column type (e.g NVARCHAR(32)). This is possible to do when using pandas to_sql() by specifying the dtype-argument.
                  Operating System
                  Linux, Windows
                  Operating System Details
                  No response
                  SQLModel Version
                  0.0.6
                  Python Version
                  Python 3.9.7
                  Additional Context
                  No response
                  Metadata
                  Metadata
                  Assignees
                  No one assigned
                    Labels
                    questionFurther information is requested
                    Type
                    No type
                    Projects
                    No projects
                      Milestone
                      No milestone
                      Relationships
                      None yet
                      Development
                      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
                      Specifying SQL Server column data type, similar to dtype in pd.to_sql() #319
                      Closed
                      Closed
                      Specifying SQL Server column data type, similar to dtype in pd.to_sql()#319
                      Labels
                      questionFurther information is requested
                      Description
                      @HansOlavMyklebust
                      HansOlavMyklebust
                      opened on Apr 29, 2022
                      First Check
                      •  I added a very descriptive title to this issue.
                      •  I used the GitHub search to find a similar issue and didn't find it.
                      •  I searched the SQLModel documentation, with the integrated search.
                      •  I already searched in Google "How to X in SQLModel" and didn't find any information.
                      •  I already read and followed all the tutorial in the docs and didn't find an answer.
                      •  I already checked if it is not related to SQLModel but to Pydantic.
                      •  I already checked if it is not related to SQLModel but to SQLAlchemy.
                      Commit to Help
                      •  I commit to help with one of those options 👆
                      Example Code
                      fromtypingimportOptionalfromsqlmodelimportField, SQLModelfromsqlalchemy.typingimportNVARCHARclassHero(SQLModel, table=True):
id: str=Field(default=None, primary_key=True, dtype=NVARCHAR(32))
name: strsecret_name: strage: Optional[int] =None
                      Description
                      Create a SQLModel that contains a mapping between python type (e.g str) and SQL Server column type (e.g NVARCHAR(32)). This is possible to do when using pandas to_sql() by specifying the dtype-argument.
                      Operating System
                      Linux, Windows
                      Operating System Details
                      No response
                      SQLModel Version
                      0.0.6
                      Python Version
                      Python 3.9.7
                      Additional Context
                      No response
                      Metadata
                      Metadata
                      Assignees
                      No one assigned
                        Labels
                        questionFurther information is requested
                        Type
                        No type
                        Projects
                        No projects
                          Milestone
                          No milestone
                          Relationships
                          None yet
                          Development
                          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
                          Specifying SQL Server column data type, similar to dtype in pd.to_sql() #319
                          Closed
                          Closed
                          Specifying SQL Server column data type, similar to dtype in pd.to_sql()#319
                          Labels
                          questionFurther information is requested
                          Description
                          @HansOlavMyklebust
                          HansOlavMyklebust
                          opened on Apr 29, 2022
                          First Check
                          •  I added a very descriptive title to this issue.
                          •  I used the GitHub search to find a similar issue and didn't find it.
                          •  I searched the SQLModel documentation, with the integrated search.
                          •  I already searched in Google "How to X in SQLModel" and didn't find any information.
                          •  I already read and followed all the tutorial in the docs and didn't find an answer.
                          •  I already checked if it is not related to SQLModel but to Pydantic.
                          •  I already checked if it is not related to SQLModel but to SQLAlchemy.
                          Commit to Help
                          •  I commit to help with one of those options 👆
                          Example Code
                          fromtypingimportOptionalfromsqlmodelimportField, SQLModelfromsqlalchemy.typingimportNVARCHARclassHero(SQLModel, table=True):
id: str=Field(default=None, primary_key=True, dtype=NVARCHAR(32))
name: strsecret_name: strage: Optional[int] =None
                          Description
                          Create a SQLModel that contains a mapping between python type (e.g str) and SQL Server column type (e.g NVARCHAR(32)). This is possible to do when using pandas to_sql() by specifying the dtype-argument.
                          Operating System
                          Linux, Windows
                          Operating System Details
                          No response
                          SQLModel Version
                          0.0.6
                          Python Version
                          Python 3.9.7
                          Additional Context
                          No response
                          Metadata
                          Metadata
                          Assignees
                          No one assigned
                            Labels
                            questionFurther information is requested
                            Type
                            No type
                            Projects
                            No projects
                              Milestone
                              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
                              Specifying SQL Server column data type, similar to dtype in pd.to_sql() #319
                              Closed
                              Closed
                              Specifying SQL Server column data type, similar to dtype in pd.to_sql()#319
                              Labels
                              questionFurther information is requested
                              Description
                              @HansOlavMyklebust
                              HansOlavMyklebust
                              opened on Apr 29, 2022
                              First Check
                              •  I added a very descriptive title to this issue.
                              •  I used the GitHub search to find a similar issue and didn't find it.
                              •  I searched the SQLModel documentation, with the integrated search.
                              •  I already searched in Google "How to X in SQLModel" and didn't find any information.
                              •  I already read and followed all the tutorial in the docs and didn't find an answer.
                              •  I already checked if it is not related to SQLModel but to Pydantic.
                              •  I already checked if it is not related to SQLModel but to SQLAlchemy.
                              Commit to Help
                              •  I commit to help with one of those options 👆
                              Example Code
                              fromtypingimportOptionalfromsqlmodelimportField, SQLModelfromsqlalchemy.typingimportNVARCHARclassHero(SQLModel, table=True):
id: str=Field(default=None, primary_key=True, dtype=NVARCHAR(32))
name: strsecret_name: strage: Optional[int] =None
                              Description
                              Create a SQLModel that contains a mapping between python type (e.g str) and SQL Server column type (e.g NVARCHAR(32)). This is possible to do when using pandas to_sql() by specifying the dtype-argument.
                              Operating System
                              Linux, Windows
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                              SQLModel Version
                              0.0.6
                              Python Version
                              Python 3.9.7
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