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[Python] Prevent corrupting files with Multiple matches for FieldRef.Name #32660

Description

@asfimport

{}Version{}: pyarrow 9.0.0

Description

Users can add a column with the the same name as an existing column to a table via pyarrow.Table.add_column().

Additionally, that table can be written to a parquet file with pyarrow.parquet.write_table().

However, the written file cannot be read with pyarrow.parquet.read_table() due to having multiple columns with the same name.

Flagging this as a bug because I believe anything that is successfully written by write_table() should be readable by read_table().

Minimum reproducible example


>>> import pyarrow.parquet as pq
>>> import pyarrow as pa
>>> t = pa.Table.from_pydict(\{'a': [1,2,3]})
>>> pq.write_table(t.add_column(0, 'a', pa.array([1.1,2.2,3.3])), 'test.parquet')
>>> pq.read_table('test.parquet')
pyarrow.lib.ArrowInvalid: Multiple matches for FieldRef.Name(a) in a: double
a: int64
__fragment_index: int32
__batch_index: int32
__last_in_fragment: bool
__filename: string

Environment: MacOS, Python 3.10.3
Reporter: Grayden Shand
Assignee: Miles Granger / @milesgranger

Related issues:

PRs and other links:

Note: This issue was originally created as ARROW-17388. Please see the migration documentation for further details.

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    , 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
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    function addCopyButtons() {
    document.querySelectorAll('pre code').forEach(function(codeBlock) {
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    codeBlock.parentElement.setAttribute('data-copy-added', 'true');
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    btn.textContent = 'Copy';
    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;';
    btn.onmouseover = function() { this.style.opacity = '1'; };
    btn.onmouseout = function() { this.style.opacity = '0.7'; };
    btn.onclick = function() {
    navigator.clipboard.writeText(codeBlock.textContent).then(function() {
    btn.textContent = 'Copied!';
    setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
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    var observer = new MutationObserver(addCopyButtons);
    observer.observe(document.body, { childList: true, subtree: true });
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    })();
    (function(){
    try {
    var __m = "github.com";
    var __re = new RegExp('^' + "github\\.com" + '
    [Python] Prevent corrupting files with Multiple matches for FieldRef.Name · Issue #32660 · apache/arrow · GitHub
    Skip to content

    [Python] Prevent corrupting files with Multiple matches for FieldRef.Name #32660

    Description

    @asfimport

    {}Version{}: pyarrow 9.0.0

    Description

    Users can add a column with the the same name as an existing column to a table via pyarrow.Table.add_column().

    Additionally, that table can be written to a parquet file with pyarrow.parquet.write_table().

    However, the written file cannot be read with pyarrow.parquet.read_table() due to having multiple columns with the same name.

    Flagging this as a bug because I believe anything that is successfully written by write_table() should be readable by read_table().

    Minimum reproducible example

    
    >>> import pyarrow.parquet as pq
    >>> import pyarrow as pa
    >>> t = pa.Table.from_pydict(\{'a': [1,2,3]})
    >>> pq.write_table(t.add_column(0, 'a', pa.array([1.1,2.2,3.3])), 'test.parquet')
    >>> pq.read_table('test.parquet')
    pyarrow.lib.ArrowInvalid: Multiple matches for FieldRef.Name(a) in a: double
    a: int64
    __fragment_index: int32
    __batch_index: int32
    __last_in_fragment: bool
    __filename: string
    

    Environment: MacOS, Python 3.10.3
    Reporter: Grayden Shand
    Assignee: Miles Granger / @milesgranger

    Related issues:

    PRs and other links:

    Note: This issue was originally created as ARROW-17388. Please see the migration documentation for further details.

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      , 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' [Python] Prevent corrupting files with Multiple matches for FieldRef.Name · Issue #32660 · apache/arrow · GitHub
      Skip to content

      [Python] Prevent corrupting files with Multiple matches for FieldRef.Name #32660

      Description

      @asfimport

      {}Version{}: pyarrow 9.0.0

      Description

      Users can add a column with the the same name as an existing column to a table via pyarrow.Table.add_column().

      Additionally, that table can be written to a parquet file with pyarrow.parquet.write_table().

      However, the written file cannot be read with pyarrow.parquet.read_table() due to having multiple columns with the same name.

      Flagging this as a bug because I believe anything that is successfully written by write_table() should be readable by read_table().

      Minimum reproducible example

      
      >>> import pyarrow.parquet as pq
      >>> import pyarrow as pa
      >>> t = pa.Table.from_pydict(\{'a': [1,2,3]})
      >>> pq.write_table(t.add_column(0, 'a', pa.array([1.1,2.2,3.3])), 'test.parquet')
      >>> pq.read_table('test.parquet')
      pyarrow.lib.ArrowInvalid: Multiple matches for FieldRef.Name(a) in a: double
      a: int64
      __fragment_index: int32
      __batch_index: int32
      __last_in_fragment: bool
      __filename: string
      

      Environment: MacOS, Python 3.10.3
      Reporter: Grayden Shand
      Assignee: Miles Granger / @milesgranger

      Related issues:

      PRs and other links:

      Note: This issue was originally created as ARROW-17388. Please see the migration documentation for further details.

      Metadata

      Metadata

      Assignees

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      No type

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      No projects

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        None yet

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        No branches or pull requests

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        , 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' [Python] Prevent corrupting files with Multiple matches for FieldRef.Name · Issue #32660 · apache/arrow · GitHub
        Skip to content

        [Python] Prevent corrupting files with Multiple matches for FieldRef.Name #32660

        Description

        @asfimport

        {}Version{}: pyarrow 9.0.0

        Description

        Users can add a column with the the same name as an existing column to a table via pyarrow.Table.add_column().

        Additionally, that table can be written to a parquet file with pyarrow.parquet.write_table().

        However, the written file cannot be read with pyarrow.parquet.read_table() due to having multiple columns with the same name.

        Flagging this as a bug because I believe anything that is successfully written by write_table() should be readable by read_table().

        Minimum reproducible example

        
        >>> import pyarrow.parquet as pq
        >>> import pyarrow as pa
        >>> t = pa.Table.from_pydict(\{'a': [1,2,3]})
        >>> pq.write_table(t.add_column(0, 'a', pa.array([1.1,2.2,3.3])), 'test.parquet')
        >>> pq.read_table('test.parquet')
        pyarrow.lib.ArrowInvalid: Multiple matches for FieldRef.Name(a) in a: double
        a: int64
        __fragment_index: int32
        __batch_index: int32
        __last_in_fragment: bool
        __filename: string
        

        Environment: MacOS, Python 3.10.3
        Reporter: Grayden Shand
        Assignee: Miles Granger / @milesgranger

        Related issues:

        PRs and other links:

        Note: This issue was originally created as ARROW-17388. Please see the migration documentation for further details.

        Metadata

        Metadata

        Assignees

        Type

        No type

        Projects

        No projects

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          No milestone

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          None yet

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          No branches or pull requests

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          , 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' [Python] Prevent corrupting files with Multiple matches for FieldRef.Name · Issue #32660 · apache/arrow · GitHub
          Skip to content

          [Python] Prevent corrupting files with Multiple matches for FieldRef.Name #32660

          Description

          @asfimport

          {}Version{}: pyarrow 9.0.0

          Description

          Users can add a column with the the same name as an existing column to a table via pyarrow.Table.add_column().

          Additionally, that table can be written to a parquet file with pyarrow.parquet.write_table().

          However, the written file cannot be read with pyarrow.parquet.read_table() due to having multiple columns with the same name.

          Flagging this as a bug because I believe anything that is successfully written by write_table() should be readable by read_table().

          Minimum reproducible example

          
          >>> import pyarrow.parquet as pq
          >>> import pyarrow as pa
          >>> t = pa.Table.from_pydict(\{'a': [1,2,3]})
          >>> pq.write_table(t.add_column(0, 'a', pa.array([1.1,2.2,3.3])), 'test.parquet')
          >>> pq.read_table('test.parquet')
          pyarrow.lib.ArrowInvalid: Multiple matches for FieldRef.Name(a) in a: double
          a: int64
          __fragment_index: int32
          __batch_index: int32
          __last_in_fragment: bool
          __filename: string
          

          Environment: MacOS, Python 3.10.3
          Reporter: Grayden Shand
          Assignee: Miles Granger / @milesgranger

          Related issues:

          PRs and other links:

          Note: This issue was originally created as ARROW-17388. Please see the migration documentation for further details.

          Metadata

          Metadata

          Assignees

          Type

          No type

          Projects

          No projects

            Milestone

            No milestone

            Relationships

            None yet

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            No branches or pull requests

            Issue actions

            , 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' [Python] Prevent corrupting files with Multiple matches for FieldRef.Name · Issue #32660 · apache/arrow · GitHub
            Skip to content

            [Python] Prevent corrupting files with Multiple matches for FieldRef.Name #32660

            Description

            @asfimport

            {}Version{}: pyarrow 9.0.0

            Description

            Users can add a column with the the same name as an existing column to a table via pyarrow.Table.add_column().

            Additionally, that table can be written to a parquet file with pyarrow.parquet.write_table().

            However, the written file cannot be read with pyarrow.parquet.read_table() due to having multiple columns with the same name.

            Flagging this as a bug because I believe anything that is successfully written by write_table() should be readable by read_table().

            Minimum reproducible example

            
            >>> import pyarrow.parquet as pq
            >>> import pyarrow as pa
            >>> t = pa.Table.from_pydict(\{'a': [1,2,3]})
            >>> pq.write_table(t.add_column(0, 'a', pa.array([1.1,2.2,3.3])), 'test.parquet')
            >>> pq.read_table('test.parquet')
            pyarrow.lib.ArrowInvalid: Multiple matches for FieldRef.Name(a) in a: double
            a: int64
            __fragment_index: int32
            __batch_index: int32
            __last_in_fragment: bool
            __filename: string
            

            Environment: MacOS, Python 3.10.3
            Reporter: Grayden Shand
            Assignee: Miles Granger / @milesgranger

            Related issues:

            PRs and other links:

            Note: This issue was originally created as ARROW-17388. Please see the migration documentation for further details.

            Metadata

            Metadata

            Assignees

            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)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' [Python] Prevent corrupting files with Multiple matches for FieldRef.Name · Issue #32660 · apache/arrow · GitHub
              Skip to content

              [Python] Prevent corrupting files with Multiple matches for FieldRef.Name #32660

              Description

              @asfimport

              {}Version{}: pyarrow 9.0.0

              Description

              Users can add a column with the the same name as an existing column to a table via pyarrow.Table.add_column().

              Additionally, that table can be written to a parquet file with pyarrow.parquet.write_table().

              However, the written file cannot be read with pyarrow.parquet.read_table() due to having multiple columns with the same name.

              Flagging this as a bug because I believe anything that is successfully written by write_table() should be readable by read_table().

              Minimum reproducible example

              
              >>> import pyarrow.parquet as pq
              >>> import pyarrow as pa
              >>> t = pa.Table.from_pydict(\{'a': [1,2,3]})
              >>> pq.write_table(t.add_column(0, 'a', pa.array([1.1,2.2,3.3])), 'test.parquet')
              >>> pq.read_table('test.parquet')
              pyarrow.lib.ArrowInvalid: Multiple matches for FieldRef.Name(a) in a: double
              a: int64
              __fragment_index: int32
              __batch_index: int32
              __last_in_fragment: bool
              __filename: string
              

              Environment: MacOS, Python 3.10.3
              Reporter: Grayden Shand
              Assignee: Miles Granger / @milesgranger

              Related issues:

              PRs and other links:

              Note: This issue was originally created as ARROW-17388. Please see the migration documentation for further details.

              Metadata

              Metadata

              Assignees

              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)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); [Python] Prevent corrupting files with Multiple matches for FieldRef.Name · Issue #32660 · apache/arrow · GitHub
                Skip to content

                [Python] Prevent corrupting files with Multiple matches for FieldRef.Name #32660

                Description

                @asfimport

                {}Version{}: pyarrow 9.0.0

                Description

                Users can add a column with the the same name as an existing column to a table via pyarrow.Table.add_column().

                Additionally, that table can be written to a parquet file with pyarrow.parquet.write_table().

                However, the written file cannot be read with pyarrow.parquet.read_table() due to having multiple columns with the same name.

                Flagging this as a bug because I believe anything that is successfully written by write_table() should be readable by read_table().

                Minimum reproducible example

                
                >>> import pyarrow.parquet as pq
                >>> import pyarrow as pa
                >>> t = pa.Table.from_pydict(\{'a': [1,2,3]})
                >>> pq.write_table(t.add_column(0, 'a', pa.array([1.1,2.2,3.3])), 'test.parquet')
                >>> pq.read_table('test.parquet')
                pyarrow.lib.ArrowInvalid: Multiple matches for FieldRef.Name(a) in a: double
                a: int64
                __fragment_index: int32
                __batch_index: int32
                __last_in_fragment: bool
                __filename: string
                

                Environment: MacOS, Python 3.10.3
                Reporter: Grayden Shand
                Assignee: Miles Granger / @milesgranger

                Related issues:

                PRs and other links:

                Note: This issue was originally created as ARROW-17388. Please see the migration documentation for further details.

                Metadata

                Metadata

                Assignees

                Type

                No type

                Projects

                No projects

                  Milestone

                  No milestone

                  Relationships

                  None yet

                  Development

                  No branches or pull requests

                  Issue actions