SQL Analysis #27

Description

@gvenzl
SELECT s.*
FROM sales s, products p
WHERE s.prod_id = p.prod_id
AND p.prod_category = 1
AND p.prod_subcategory != 'abc'
UNION
SELECT s.*
FROM sales s, products p, customers c
WHERE s.prod_id = p.prod_id
AND s.quantity_sold > 100;
-----------------------------------------------------------------
| Id | Operation | Name |
-----------------------------------------------------------------
| 0 | SELECT STATEMENT | |
| 1 | HASH UNIQUE | |
| 2 | UNION-ALL | |
|* 3 | HASH JOIN | |
| 4 | JOIN FILTER CREATE | :BF0000 |
|* 5 | TABLE ACCESS FULL | PRODUCTS |
| 6 | JOIN FILTER USE | :BF0000 |
| 7 | PARTITION RANGE ALL | |
|* 8 | TABLE ACCESS FULL | SALES |
| 9 | MERGE JOIN CARTESIAN | |
| 10 | NESTED LOOPS SEMI | |
| 11 | PARTITION RANGE ALL | |
|* 12 | TABLE ACCESS FULL | SALES |
|* 13 | INDEX UNIQUE SCAN | PRODUCTS_PK |
| 14 | BUFFER SORT | |
| 15 | BITMAP CONVERSION TO ROWIDS | |
| 16 | BITMAP INDEX FAST FULL SCAN| CUSTOMERS_GENDER_BIX |
-----------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
3 - access("S"."PROD_ID"="P"."PROD_ID")
5 - filter(TO_NUMBER("P"."PROD_CATEGORY")=1 AND
"P"."PROD_SUBCATEGORY"<>'abc')
8 - filter(SYS_OP_BLOOM_FILTER(:BF0000,"S"."PROD_ID"))
12 - filter("S"."QUANTITY_SOLD">100)
13 - access("S"."PROD_ID"="P"."PROD_ID")
SQL Analysis Report (identified by operation id/Query Block Name/Object Alias):
-------------------------------------------------------------------------------
1 - SET$1
- The query block contains UNION which may be expensive.
Consider using UNION ALL if duplicates are allowed or
uniqueness is guaranteed.
5 - SEL$1 / "P"@"SEL$1"
- The following columns have predicates which preclude their
use as keys in index range scan. Consider rewriting the
predicates.
"PROD_CATEGORY"
"PROD_SUBCATEGORY"
9 - SEL$2
- The query block has 1 cartesian product which may be
expensive. Consider adding join conditions or removing the
disconnected tables or views.

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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

      SQL Analysis #27

      Description

      @gvenzl
      SELECT s.*
      FROM sales s, products p
      WHERE s.prod_id = p.prod_id
      AND p.prod_category = 1
      AND p.prod_subcategory != 'abc'
      UNION
      SELECT s.*
      FROM sales s, products p, customers c
      WHERE s.prod_id = p.prod_id
      AND s.quantity_sold > 100;
      -----------------------------------------------------------------
      | Id | Operation | Name |
      -----------------------------------------------------------------
      | 0 | SELECT STATEMENT | |
      | 1 | HASH UNIQUE | |
      | 2 | UNION-ALL | |
      |* 3 | HASH JOIN | |
      | 4 | JOIN FILTER CREATE | :BF0000 |
      |* 5 | TABLE ACCESS FULL | PRODUCTS |
      | 6 | JOIN FILTER USE | :BF0000 |
      | 7 | PARTITION RANGE ALL | |
      |* 8 | TABLE ACCESS FULL | SALES |
      | 9 | MERGE JOIN CARTESIAN | |
      | 10 | NESTED LOOPS SEMI | |
      | 11 | PARTITION RANGE ALL | |
      |* 12 | TABLE ACCESS FULL | SALES |
      |* 13 | INDEX UNIQUE SCAN | PRODUCTS_PK |
      | 14 | BUFFER SORT | |
      | 15 | BITMAP CONVERSION TO ROWIDS | |
      | 16 | BITMAP INDEX FAST FULL SCAN| CUSTOMERS_GENDER_BIX |
      -----------------------------------------------------------------
      Predicate Information (identified by operation id):
      ---------------------------------------------------
      3 - access("S"."PROD_ID"="P"."PROD_ID")
      5 - filter(TO_NUMBER("P"."PROD_CATEGORY")=1 AND
      "P"."PROD_SUBCATEGORY"<>'abc')
      8 - filter(SYS_OP_BLOOM_FILTER(:BF0000,"S"."PROD_ID"))
      12 - filter("S"."QUANTITY_SOLD">100)
      13 - access("S"."PROD_ID"="P"."PROD_ID")
      SQL Analysis Report (identified by operation id/Query Block Name/Object Alias):
      -------------------------------------------------------------------------------
      1 - SET$1
      - The query block contains UNION which may be expensive.
      Consider using UNION ALL if duplicates are allowed or
      uniqueness is guaranteed.
      5 - SEL$1 / "P"@"SEL$1"
      - The following columns have predicates which preclude their
      use as keys in index range scan. Consider rewriting the
      predicates.
      "PROD_CATEGORY"
      "PROD_SUBCATEGORY"
      9 - SEL$2
      - The query block has 1 cartesian product which may be
      expensive. Consider adding join conditions or removing the
      disconnected tables or views.
      

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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

          SQL Analysis #27

          Description

          @gvenzl
          SELECT s.*
          FROM sales s, products p
          WHERE s.prod_id = p.prod_id
          AND p.prod_category = 1
          AND p.prod_subcategory != 'abc'
          UNION
          SELECT s.*
          FROM sales s, products p, customers c
          WHERE s.prod_id = p.prod_id
          AND s.quantity_sold > 100;
          -----------------------------------------------------------------
          | Id | Operation | Name |
          -----------------------------------------------------------------
          | 0 | SELECT STATEMENT | |
          | 1 | HASH UNIQUE | |
          | 2 | UNION-ALL | |
          |* 3 | HASH JOIN | |
          | 4 | JOIN FILTER CREATE | :BF0000 |
          |* 5 | TABLE ACCESS FULL | PRODUCTS |
          | 6 | JOIN FILTER USE | :BF0000 |
          | 7 | PARTITION RANGE ALL | |
          |* 8 | TABLE ACCESS FULL | SALES |
          | 9 | MERGE JOIN CARTESIAN | |
          | 10 | NESTED LOOPS SEMI | |
          | 11 | PARTITION RANGE ALL | |
          |* 12 | TABLE ACCESS FULL | SALES |
          |* 13 | INDEX UNIQUE SCAN | PRODUCTS_PK |
          | 14 | BUFFER SORT | |
          | 15 | BITMAP CONVERSION TO ROWIDS | |
          | 16 | BITMAP INDEX FAST FULL SCAN| CUSTOMERS_GENDER_BIX |
          -----------------------------------------------------------------
          Predicate Information (identified by operation id):
          ---------------------------------------------------
          3 - access("S"."PROD_ID"="P"."PROD_ID")
          5 - filter(TO_NUMBER("P"."PROD_CATEGORY")=1 AND
          "P"."PROD_SUBCATEGORY"<>'abc')
          8 - filter(SYS_OP_BLOOM_FILTER(:BF0000,"S"."PROD_ID"))
          12 - filter("S"."QUANTITY_SOLD">100)
          13 - access("S"."PROD_ID"="P"."PROD_ID")
          SQL Analysis Report (identified by operation id/Query Block Name/Object Alias):
          -------------------------------------------------------------------------------
          1 - SET$1
          - The query block contains UNION which may be expensive.
          Consider using UNION ALL if duplicates are allowed or
          uniqueness is guaranteed.
          5 - SEL$1 / "P"@"SEL$1"
          - The following columns have predicates which preclude their
          use as keys in index range scan. Consider rewriting the
          predicates.
          "PROD_CATEGORY"
          "PROD_SUBCATEGORY"
          9 - SEL$2
          - The query block has 1 cartesian product which may be
          expensive. Consider adding join conditions or removing the
          disconnected tables or views.
          

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              , '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

              SQL Analysis #27

              Description

              @gvenzl
              SELECT s.*
              FROM sales s, products p
              WHERE s.prod_id = p.prod_id
              AND p.prod_category = 1
              AND p.prod_subcategory != 'abc'
              UNION
              SELECT s.*
              FROM sales s, products p, customers c
              WHERE s.prod_id = p.prod_id
              AND s.quantity_sold > 100;
              -----------------------------------------------------------------
              | Id | Operation | Name |
              -----------------------------------------------------------------
              | 0 | SELECT STATEMENT | |
              | 1 | HASH UNIQUE | |
              | 2 | UNION-ALL | |
              |* 3 | HASH JOIN | |
              | 4 | JOIN FILTER CREATE | :BF0000 |
              |* 5 | TABLE ACCESS FULL | PRODUCTS |
              | 6 | JOIN FILTER USE | :BF0000 |
              | 7 | PARTITION RANGE ALL | |
              |* 8 | TABLE ACCESS FULL | SALES |
              | 9 | MERGE JOIN CARTESIAN | |
              | 10 | NESTED LOOPS SEMI | |
              | 11 | PARTITION RANGE ALL | |
              |* 12 | TABLE ACCESS FULL | SALES |
              |* 13 | INDEX UNIQUE SCAN | PRODUCTS_PK |
              | 14 | BUFFER SORT | |
              | 15 | BITMAP CONVERSION TO ROWIDS | |
              | 16 | BITMAP INDEX FAST FULL SCAN| CUSTOMERS_GENDER_BIX |
              -----------------------------------------------------------------
              Predicate Information (identified by operation id):
              ---------------------------------------------------
              3 - access("S"."PROD_ID"="P"."PROD_ID")
              5 - filter(TO_NUMBER("P"."PROD_CATEGORY")=1 AND
              "P"."PROD_SUBCATEGORY"<>'abc')
              8 - filter(SYS_OP_BLOOM_FILTER(:BF0000,"S"."PROD_ID"))
              12 - filter("S"."QUANTITY_SOLD">100)
              13 - access("S"."PROD_ID"="P"."PROD_ID")
              SQL Analysis Report (identified by operation id/Query Block Name/Object Alias):
              -------------------------------------------------------------------------------
              1 - SET$1
              - The query block contains UNION which may be expensive.
              Consider using UNION ALL if duplicates are allowed or
              uniqueness is guaranteed.
              5 - SEL$1 / "P"@"SEL$1"
              - The following columns have predicates which preclude their
              use as keys in index range scan. Consider rewriting the
              predicates.
              "PROD_CATEGORY"
              "PROD_SUBCATEGORY"
              9 - SEL$2
              - The query block has 1 cartesian product which may be
              expensive. Consider adding join conditions or removing the
              disconnected tables or views.
              

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                  No branches or pull requests

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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

                  SQL Analysis #27

                  Description

                  @gvenzl
                  SELECT s.*
                  FROM sales s, products p
                  WHERE s.prod_id = p.prod_id
                  AND p.prod_category = 1
                  AND p.prod_subcategory != 'abc'
                  UNION
                  SELECT s.*
                  FROM sales s, products p, customers c
                  WHERE s.prod_id = p.prod_id
                  AND s.quantity_sold > 100;
                  -----------------------------------------------------------------
                  | Id | Operation | Name |
                  -----------------------------------------------------------------
                  | 0 | SELECT STATEMENT | |
                  | 1 | HASH UNIQUE | |
                  | 2 | UNION-ALL | |
                  |* 3 | HASH JOIN | |
                  | 4 | JOIN FILTER CREATE | :BF0000 |
                  |* 5 | TABLE ACCESS FULL | PRODUCTS |
                  | 6 | JOIN FILTER USE | :BF0000 |
                  | 7 | PARTITION RANGE ALL | |
                  |* 8 | TABLE ACCESS FULL | SALES |
                  | 9 | MERGE JOIN CARTESIAN | |
                  | 10 | NESTED LOOPS SEMI | |
                  | 11 | PARTITION RANGE ALL | |
                  |* 12 | TABLE ACCESS FULL | SALES |
                  |* 13 | INDEX UNIQUE SCAN | PRODUCTS_PK |
                  | 14 | BUFFER SORT | |
                  | 15 | BITMAP CONVERSION TO ROWIDS | |
                  | 16 | BITMAP INDEX FAST FULL SCAN| CUSTOMERS_GENDER_BIX |
                  -----------------------------------------------------------------
                  Predicate Information (identified by operation id):
                  ---------------------------------------------------
                  3 - access("S"."PROD_ID"="P"."PROD_ID")
                  5 - filter(TO_NUMBER("P"."PROD_CATEGORY")=1 AND
                  "P"."PROD_SUBCATEGORY"<>'abc')
                  8 - filter(SYS_OP_BLOOM_FILTER(:BF0000,"S"."PROD_ID"))
                  12 - filter("S"."QUANTITY_SOLD">100)
                  13 - access("S"."PROD_ID"="P"."PROD_ID")
                  SQL Analysis Report (identified by operation id/Query Block Name/Object Alias):
                  -------------------------------------------------------------------------------
                  1 - SET$1
                  - The query block contains UNION which may be expensive.
                  Consider using UNION ALL if duplicates are allowed or
                  uniqueness is guaranteed.
                  5 - SEL$1 / "P"@"SEL$1"
                  - The following columns have predicates which preclude their
                  use as keys in index range scan. Consider rewriting the
                  predicates.
                  "PROD_CATEGORY"
                  "PROD_SUBCATEGORY"
                  9 - SEL$2
                  - The query block has 1 cartesian product which may be
                  expensive. Consider adding join conditions or removing the
                  disconnected tables or views.
                  

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                      , '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

                      SQL Analysis #27

                      Description

                      @gvenzl
                      SELECT s.*
                      FROM sales s, products p
                      WHERE s.prod_id = p.prod_id
                      AND p.prod_category = 1
                      AND p.prod_subcategory != 'abc'
                      UNION
                      SELECT s.*
                      FROM sales s, products p, customers c
                      WHERE s.prod_id = p.prod_id
                      AND s.quantity_sold > 100;
                      -----------------------------------------------------------------
                      | Id | Operation | Name |
                      -----------------------------------------------------------------
                      | 0 | SELECT STATEMENT | |
                      | 1 | HASH UNIQUE | |
                      | 2 | UNION-ALL | |
                      |* 3 | HASH JOIN | |
                      | 4 | JOIN FILTER CREATE | :BF0000 |
                      |* 5 | TABLE ACCESS FULL | PRODUCTS |
                      | 6 | JOIN FILTER USE | :BF0000 |
                      | 7 | PARTITION RANGE ALL | |
                      |* 8 | TABLE ACCESS FULL | SALES |
                      | 9 | MERGE JOIN CARTESIAN | |
                      | 10 | NESTED LOOPS SEMI | |
                      | 11 | PARTITION RANGE ALL | |
                      |* 12 | TABLE ACCESS FULL | SALES |
                      |* 13 | INDEX UNIQUE SCAN | PRODUCTS_PK |
                      | 14 | BUFFER SORT | |
                      | 15 | BITMAP CONVERSION TO ROWIDS | |
                      | 16 | BITMAP INDEX FAST FULL SCAN| CUSTOMERS_GENDER_BIX |
                      -----------------------------------------------------------------
                      Predicate Information (identified by operation id):
                      ---------------------------------------------------
                      3 - access("S"."PROD_ID"="P"."PROD_ID")
                      5 - filter(TO_NUMBER("P"."PROD_CATEGORY")=1 AND
                      "P"."PROD_SUBCATEGORY"<>'abc')
                      8 - filter(SYS_OP_BLOOM_FILTER(:BF0000,"S"."PROD_ID"))
                      12 - filter("S"."QUANTITY_SOLD">100)
                      13 - access("S"."PROD_ID"="P"."PROD_ID")
                      SQL Analysis Report (identified by operation id/Query Block Name/Object Alias):
                      -------------------------------------------------------------------------------
                      1 - SET$1
                      - The query block contains UNION which may be expensive.
                      Consider using UNION ALL if duplicates are allowed or
                      uniqueness is guaranteed.
                      5 - SEL$1 / "P"@"SEL$1"
                      - The following columns have predicates which preclude their
                      use as keys in index range scan. Consider rewriting the
                      predicates.
                      "PROD_CATEGORY"
                      "PROD_SUBCATEGORY"
                      9 - SEL$2
                      - The query block has 1 cartesian product which may be
                      expensive. Consider adding join conditions or removing the
                      disconnected tables or views.
                      

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                          , '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

                          SQL Analysis #27

                          Description

                          @gvenzl
                          SELECT s.*
                          FROM sales s, products p
                          WHERE s.prod_id = p.prod_id
                          AND p.prod_category = 1
                          AND p.prod_subcategory != 'abc'
                          UNION
                          SELECT s.*
                          FROM sales s, products p, customers c
                          WHERE s.prod_id = p.prod_id
                          AND s.quantity_sold > 100;
                          -----------------------------------------------------------------
                          | Id | Operation | Name |
                          -----------------------------------------------------------------
                          | 0 | SELECT STATEMENT | |
                          | 1 | HASH UNIQUE | |
                          | 2 | UNION-ALL | |
                          |* 3 | HASH JOIN | |
                          | 4 | JOIN FILTER CREATE | :BF0000 |
                          |* 5 | TABLE ACCESS FULL | PRODUCTS |
                          | 6 | JOIN FILTER USE | :BF0000 |
                          | 7 | PARTITION RANGE ALL | |
                          |* 8 | TABLE ACCESS FULL | SALES |
                          | 9 | MERGE JOIN CARTESIAN | |
                          | 10 | NESTED LOOPS SEMI | |
                          | 11 | PARTITION RANGE ALL | |
                          |* 12 | TABLE ACCESS FULL | SALES |
                          |* 13 | INDEX UNIQUE SCAN | PRODUCTS_PK |
                          | 14 | BUFFER SORT | |
                          | 15 | BITMAP CONVERSION TO ROWIDS | |
                          | 16 | BITMAP INDEX FAST FULL SCAN| CUSTOMERS_GENDER_BIX |
                          -----------------------------------------------------------------
                          Predicate Information (identified by operation id):
                          ---------------------------------------------------
                          3 - access("S"."PROD_ID"="P"."PROD_ID")
                          5 - filter(TO_NUMBER("P"."PROD_CATEGORY")=1 AND
                          "P"."PROD_SUBCATEGORY"<>'abc')
                          8 - filter(SYS_OP_BLOOM_FILTER(:BF0000,"S"."PROD_ID"))
                          12 - filter("S"."QUANTITY_SOLD">100)
                          13 - access("S"."PROD_ID"="P"."PROD_ID")
                          SQL Analysis Report (identified by operation id/Query Block Name/Object Alias):
                          -------------------------------------------------------------------------------
                          1 - SET$1
                          - The query block contains UNION which may be expensive.
                          Consider using UNION ALL if duplicates are allowed or
                          uniqueness is guaranteed.
                          5 - SEL$1 / "P"@"SEL$1"
                          - The following columns have predicates which preclude their
                          use as keys in index range scan. Consider rewriting the
                          predicates.
                          "PROD_CATEGORY"
                          "PROD_SUBCATEGORY"
                          9 - SEL$2
                          - The query block has 1 cartesian product which may be
                          expensive. Consider adding join conditions or removing the
                          disconnected tables or views.
                          

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                              , '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); } })(); })();
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                              SQL Analysis #27

                              Description

                              @gvenzl
                              SELECT s.*
                              FROM sales s, products p
                              WHERE s.prod_id = p.prod_id
                              AND p.prod_category = 1
                              AND p.prod_subcategory != 'abc'
                              UNION
                              SELECT s.*
                              FROM sales s, products p, customers c
                              WHERE s.prod_id = p.prod_id
                              AND s.quantity_sold > 100;
                              -----------------------------------------------------------------
                              | Id | Operation | Name |
                              -----------------------------------------------------------------
                              | 0 | SELECT STATEMENT | |
                              | 1 | HASH UNIQUE | |
                              | 2 | UNION-ALL | |
                              |* 3 | HASH JOIN | |
                              | 4 | JOIN FILTER CREATE | :BF0000 |
                              |* 5 | TABLE ACCESS FULL | PRODUCTS |
                              | 6 | JOIN FILTER USE | :BF0000 |
                              | 7 | PARTITION RANGE ALL | |
                              |* 8 | TABLE ACCESS FULL | SALES |
                              | 9 | MERGE JOIN CARTESIAN | |
                              | 10 | NESTED LOOPS SEMI | |
                              | 11 | PARTITION RANGE ALL | |
                              |* 12 | TABLE ACCESS FULL | SALES |
                              |* 13 | INDEX UNIQUE SCAN | PRODUCTS_PK |
                              | 14 | BUFFER SORT | |
                              | 15 | BITMAP CONVERSION TO ROWIDS | |
                              | 16 | BITMAP INDEX FAST FULL SCAN| CUSTOMERS_GENDER_BIX |
                              -----------------------------------------------------------------
                              Predicate Information (identified by operation id):
                              ---------------------------------------------------
                              3 - access("S"."PROD_ID"="P"."PROD_ID")
                              5 - filter(TO_NUMBER("P"."PROD_CATEGORY")=1 AND
                              "P"."PROD_SUBCATEGORY"<>'abc')
                              8 - filter(SYS_OP_BLOOM_FILTER(:BF0000,"S"."PROD_ID"))
                              12 - filter("S"."QUANTITY_SOLD">100)
                              13 - access("S"."PROD_ID"="P"."PROD_ID")
                              SQL Analysis Report (identified by operation id/Query Block Name/Object Alias):
                              -------------------------------------------------------------------------------
                              1 - SET$1
                              - The query block contains UNION which may be expensive.
                              Consider using UNION ALL if duplicates are allowed or
                              uniqueness is guaranteed.
                              5 - SEL$1 / "P"@"SEL$1"
                              - The following columns have predicates which preclude their
                              use as keys in index range scan. Consider rewriting the
                              predicates.
                              "PROD_CATEGORY"
                              "PROD_SUBCATEGORY"
                              9 - SEL$2
                              - The query block has 1 cartesian product which may be
                              expensive. Consider adding join conditions or removing the
                              disconnected tables or views.
                              

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