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Hi Rahul,

Can you review these?

Thanks.

--Robert

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Review still in progress....

At a glance, the tests look good. I am curious to know how you generated the baselines. If you manually verified the baselines, then I would express some concern and would request you to use mysql or postgres to generate them.

@rhou1

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I manually verified the baselines. The tests were designed to generate certain answers so that I could verify them. So for example, I created a test that would return 3020 rows, and it returned 3020 rows.

@rchallapalli

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The tests look good Robert. Once we generate the baselines using hive/mysql, we should be ready to commit (after the running the regression test again after re-basing onto latest framework master). Below are a few observations while looking at the tests

  1. Did we test the flag"planner.store.parquet.rowgroup.filter.pushdown.threshold" ? This is present in our documentation
  2. Metadata Caching : If we have a table with 4 rowgroups and we added one new parquet file to the table folder.....do we update the metadata cache and then consider the row groups from the newly added file? Any tests surrounding this usecase?
  3. CTAS auto-partitioned datasets : Its hard to say whether any of your data sets are auto-partitioned. Do we have tests around this?
  4. The documentation says we support '<>' for parquet filter pushdown. However I couldn't find any tests. Did I miss something obvious?
  5. Do we have files with multiple row groups and tests around that?

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navigator.clipboard.writeText(codeBlock.textContent).then(function() {
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try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Tests for parquet filter pushdown project. by rhou1 · Pull Request #256 · mapr/drill-test-framework · GitHub
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Tests for parquet filter pushdown project. - #256

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Hi Rahul,

Can you review these?

Thanks.

--Robert

@rchallapalli

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Review still in progress....

At a glance, the tests look good. I am curious to know how you generated the baselines. If you manually verified the baselines, then I would express some concern and would request you to use mysql or postgres to generate them.

@rhou1

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I manually verified the baselines. The tests were designed to generate certain answers so that I could verify them. So for example, I created a test that would return 3020 rows, and it returned 3020 rows.

@rchallapalli

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The tests look good Robert. Once we generate the baselines using hive/mysql, we should be ready to commit (after the running the regression test again after re-basing onto latest framework master). Below are a few observations while looking at the tests

  1. Did we test the flag"planner.store.parquet.rowgroup.filter.pushdown.threshold" ? This is present in our documentation
  2. Metadata Caching : If we have a table with 4 rowgroups and we added one new parquet file to the table folder.....do we update the metadata cache and then consider the row groups from the newly added file? Any tests surrounding this usecase?
  3. CTAS auto-partitioned datasets : Its hard to say whether any of your data sets are auto-partitioned. Do we have tests around this?
  4. The documentation says we support '<>' for parquet filter pushdown. However I couldn't find any tests. Did I miss something obvious?
  5. Do we have files with multiple row groups and tests around that?

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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('^' + ".*" + ' Tests for parquet filter pushdown project. by rhou1 · Pull Request #256 · mapr/drill-test-framework · GitHub
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Tests for parquet filter pushdown project. - #256

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Tests for parquet filter pushdown project.#256
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Hi Rahul,

Can you review these?

Thanks.

--Robert

@rchallapalli

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Review still in progress....

At a glance, the tests look good. I am curious to know how you generated the baselines. If you manually verified the baselines, then I would express some concern and would request you to use mysql or postgres to generate them.

@rhou1

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I manually verified the baselines. The tests were designed to generate certain answers so that I could verify them. So for example, I created a test that would return 3020 rows, and it returned 3020 rows.

@rchallapalli

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Contributor

The tests look good Robert. Once we generate the baselines using hive/mysql, we should be ready to commit (after the running the regression test again after re-basing onto latest framework master). Below are a few observations while looking at the tests

  1. Did we test the flag"planner.store.parquet.rowgroup.filter.pushdown.threshold" ? This is present in our documentation
  2. Metadata Caching : If we have a table with 4 rowgroups and we added one new parquet file to the table folder.....do we update the metadata cache and then consider the row groups from the newly added file? Any tests surrounding this usecase?
  3. CTAS auto-partitioned datasets : Its hard to say whether any of your data sets are auto-partitioned. Do we have tests around this?
  4. The documentation says we support '<>' for parquet filter pushdown. However I couldn't find any tests. Did I miss something obvious?
  5. Do we have files with multiple row groups and tests around that?

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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('^' + ".*" + ' Tests for parquet filter pushdown project. by rhou1 · Pull Request #256 · mapr/drill-test-framework · GitHub
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Tests for parquet filter pushdown project. - #256

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Tests for parquet filter pushdown project.#256
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Hi Rahul,

Can you review these?

Thanks.

--Robert

@rchallapalli

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Review still in progress....

At a glance, the tests look good. I am curious to know how you generated the baselines. If you manually verified the baselines, then I would express some concern and would request you to use mysql or postgres to generate them.

@rhou1

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I manually verified the baselines. The tests were designed to generate certain answers so that I could verify them. So for example, I created a test that would return 3020 rows, and it returned 3020 rows.

@rchallapalli

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Contributor

The tests look good Robert. Once we generate the baselines using hive/mysql, we should be ready to commit (after the running the regression test again after re-basing onto latest framework master). Below are a few observations while looking at the tests

  1. Did we test the flag"planner.store.parquet.rowgroup.filter.pushdown.threshold" ? This is present in our documentation
  2. Metadata Caching : If we have a table with 4 rowgroups and we added one new parquet file to the table folder.....do we update the metadata cache and then consider the row groups from the newly added file? Any tests surrounding this usecase?
  3. CTAS auto-partitioned datasets : Its hard to say whether any of your data sets are auto-partitioned. Do we have tests around this?
  4. The documentation says we support '<>' for parquet filter pushdown. However I couldn't find any tests. Did I miss something obvious?
  5. Do we have files with multiple row groups and tests around that?

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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" + ' Tests for parquet filter pushdown project. by rhou1 · Pull Request #256 · mapr/drill-test-framework · GitHub
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Tests for parquet filter pushdown project. - #256

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Tests for parquet filter pushdown project.#256
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Hi Rahul,

Can you review these?

Thanks.

--Robert

@rchallapalli

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Review still in progress....

At a glance, the tests look good. I am curious to know how you generated the baselines. If you manually verified the baselines, then I would express some concern and would request you to use mysql or postgres to generate them.

@rhou1

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I manually verified the baselines. The tests were designed to generate certain answers so that I could verify them. So for example, I created a test that would return 3020 rows, and it returned 3020 rows.

@rchallapalli

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Contributor

The tests look good Robert. Once we generate the baselines using hive/mysql, we should be ready to commit (after the running the regression test again after re-basing onto latest framework master). Below are a few observations while looking at the tests

  1. Did we test the flag"planner.store.parquet.rowgroup.filter.pushdown.threshold" ? This is present in our documentation
  2. Metadata Caching : If we have a table with 4 rowgroups and we added one new parquet file to the table folder.....do we update the metadata cache and then consider the row groups from the newly added file? Any tests surrounding this usecase?
  3. CTAS auto-partitioned datasets : Its hard to say whether any of your data sets are auto-partitioned. Do we have tests around this?
  4. The documentation says we support '<>' for parquet filter pushdown. However I couldn't find any tests. Did I miss something obvious?
  5. Do we have files with multiple row groups and tests around that?

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, '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('^' + ".*" + ' Tests for parquet filter pushdown project. by rhou1 · Pull Request #256 · mapr/drill-test-framework · GitHub
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Tests for parquet filter pushdown project. - #256

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Tests for parquet filter pushdown project.#256
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Hi Rahul,

Can you review these?

Thanks.

--Robert

@rchallapalli

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Review still in progress....

At a glance, the tests look good. I am curious to know how you generated the baselines. If you manually verified the baselines, then I would express some concern and would request you to use mysql or postgres to generate them.

@rhou1

Copy link
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ContributorAuthor

I manually verified the baselines. The tests were designed to generate certain answers so that I could verify them. So for example, I created a test that would return 3020 rows, and it returned 3020 rows.

@rchallapalli

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Contributor

The tests look good Robert. Once we generate the baselines using hive/mysql, we should be ready to commit (after the running the regression test again after re-basing onto latest framework master). Below are a few observations while looking at the tests

  1. Did we test the flag"planner.store.parquet.rowgroup.filter.pushdown.threshold" ? This is present in our documentation
  2. Metadata Caching : If we have a table with 4 rowgroups and we added one new parquet file to the table folder.....do we update the metadata cache and then consider the row groups from the newly added file? Any tests surrounding this usecase?
  3. CTAS auto-partitioned datasets : Its hard to say whether any of your data sets are auto-partitioned. Do we have tests around this?
  4. The documentation says we support '<>' for parquet filter pushdown. However I couldn't find any tests. Did I miss something obvious?
  5. Do we have files with multiple row groups and tests around that?

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, '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('^' + ".*" + ' Tests for parquet filter pushdown project. by rhou1 · Pull Request #256 · mapr/drill-test-framework · GitHub
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Tests for parquet filter pushdown project. - #256

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Tests for parquet filter pushdown project.#256
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Hi Rahul,

Can you review these?

Thanks.

--Robert

@rchallapalli

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Review still in progress....

At a glance, the tests look good. I am curious to know how you generated the baselines. If you manually verified the baselines, then I would express some concern and would request you to use mysql or postgres to generate them.

@rhou1

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ContributorAuthor

I manually verified the baselines. The tests were designed to generate certain answers so that I could verify them. So for example, I created a test that would return 3020 rows, and it returned 3020 rows.

@rchallapalli

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Contributor

The tests look good Robert. Once we generate the baselines using hive/mysql, we should be ready to commit (after the running the regression test again after re-basing onto latest framework master). Below are a few observations while looking at the tests

  1. Did we test the flag"planner.store.parquet.rowgroup.filter.pushdown.threshold" ? This is present in our documentation
  2. Metadata Caching : If we have a table with 4 rowgroups and we added one new parquet file to the table folder.....do we update the metadata cache and then consider the row groups from the newly added file? Any tests surrounding this usecase?
  3. CTAS auto-partitioned datasets : Its hard to say whether any of your data sets are auto-partitioned. Do we have tests around this?
  4. The documentation says we support '<>' for parquet filter pushdown. However I couldn't find any tests. Did I miss something obvious?
  5. Do we have files with multiple row groups and tests around that?

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, '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); } })(); })(); Tests for parquet filter pushdown project. by rhou1 · Pull Request #256 · mapr/drill-test-framework · GitHub
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Hi Rahul,

Can you review these?

Thanks.

--Robert

@rchallapalli

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Review still in progress....

At a glance, the tests look good. I am curious to know how you generated the baselines. If you manually verified the baselines, then I would express some concern and would request you to use mysql or postgres to generate them.

@rhou1

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ContributorAuthor

I manually verified the baselines. The tests were designed to generate certain answers so that I could verify them. So for example, I created a test that would return 3020 rows, and it returned 3020 rows.

@rchallapalli

Copy link
Copy Markdown
Contributor

The tests look good Robert. Once we generate the baselines using hive/mysql, we should be ready to commit (after the running the regression test again after re-basing onto latest framework master). Below are a few observations while looking at the tests

  1. Did we test the flag"planner.store.parquet.rowgroup.filter.pushdown.threshold" ? This is present in our documentation
  2. Metadata Caching : If we have a table with 4 rowgroups and we added one new parquet file to the table folder.....do we update the metadata cache and then consider the row groups from the newly added file? Any tests surrounding this usecase?
  3. CTAS auto-partitioned datasets : Its hard to say whether any of your data sets are auto-partitioned. Do we have tests around this?
  4. The documentation says we support '<>' for parquet filter pushdown. However I couldn't find any tests. Did I miss something obvious?
  5. Do we have files with multiple row groups and tests around that?

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@rhou1@rchallapalli