⚡ Query Optimizer Interactive Demo¶
📋 Overview¶
Interactive query optimization tool with AI-powered suggestions. Analyze query performance, identify bottlenecks, and receive optimization recommendations with before/after comparisons.
Duration: 45-60 minutes | Format: Query analysis and optimization tool | Prerequisites: SQL query knowledge
🎯 Learning Objectives¶
- Analyze query execution plans
- Identify performance bottlenecks
- Apply optimization techniques
- Understand index and distribution strategies
- Compare query performance metrics
- Generate optimized query versions
🚀 Query Analyzer Features¶
Optimization Rules Engine¶
const optimizationRules = {
indexing: [
{
name: 'Missing Index on Join Column',
pattern: /JOIN.*ON\s+(\w+)\.(\w+)\s*=\s*(\w+)\.(\w+)/gi,
check: (query, tables) => {
// Check if join columns have indexes
const joinColumns = extractJoinColumns(query);
return joinColumns.filter(col => !hasIndex(col));
},
suggestion: (missingIndexes) => ({
issue: 'Join columns without indexes',
impact: 'High - 50-80% performance improvement',
recommendation: `CREATE INDEX idx_${missingIndexes[0].column} ON ${missingIndexes[0].table}(${missingIndexes[0].column})`,
priority: 'High'
})
},
{
name: 'Missing Columnstore Index',
check: (table) => table.rowCount > 1000000 && !table.hasColumnstoreIndex,
suggestion: {
issue: 'Large table without columnstore index',
impact: 'High - 10-20x query performance',
recommendation: 'CREATE CLUSTERED COLUMNSTORE INDEX ON table_name',
priority: 'Critical'
}
}
],
distribution: [
{
name: 'Suboptimal Distribution for Joins',
check: (query) => {
const joins = extractJoins(query);
return joins.filter(join =>
!isColocated(join.leftTable, join.rightTable, join.column)
);
},
suggestion: (joins) => ({
issue: 'Data movement during join operations',
impact: 'High - Eliminates shuffle operations',
recommendation: `Redistribute tables on join key: ${joins[0].column}`,
priority: 'High'
})
}
],
partitioning: [
{
name: 'Full Table Scan on Partitioned Table',
pattern: /WHERE.*date.*>|<|BETWEEN/i,
check: (query, table) => {
return table.isPartitioned && !hasPartitionFilter(query);
},
suggestion: {
issue: 'Query scans all partitions',
impact: 'Medium - 30-50% reduction in data scanned',
recommendation: 'Add partition column to WHERE clause',
priority: 'Medium'
}
}
]
};
Query Comparison¶
// Before optimization
const slowQuery = {
sql: `
SELECT c.CustomerName, SUM(s.Revenue)
FROM Sales s
JOIN Customers c ON s.CustomerID = c.CustomerID
WHERE s.OrderDate >= '2024-01-01'
GROUP BY c.CustomerName
ORDER BY SUM(s.Revenue) DESC
`,
metrics: {
executionTime: 45.2, // seconds
dataScanned: 1250.5, // GB
estimatedCost: 6.25, // USD
dataMoved: 850.3 // GB (shuffle)
}
};
// After optimization
const optimizedQuery = {
sql: `
WITH SalesFiltered AS (
SELECT CustomerID, Revenue
FROM Sales
WHERE OrderDate >= '2024-01-01'
AND OrderDate < '2024-02-01' -- Partition elimination
)
SELECT
c.CustomerName,
SUM(s.Revenue) AS TotalRevenue
FROM SalesFiltered s
INNER JOIN Customers c ON s.CustomerID = c.CustomerID
GROUP BY c.CustomerName
ORDER BY TotalRevenue DESC
`,
metrics: {
executionTime: 8.3, // seconds (82% improvement)
dataScanned: 125.2, // GB (90% reduction)
estimatedCost: 0.63, // USD (90% savings)
dataMoved: 0 // GB (colocated join)
},
improvements: [
'Added partition filter for elimination',
'Used CTE for better readability',
'Colocated join eliminates data movement',
'Statistics up to date'
]
};
📊 Execution Plan Visualizer¶
Plan Analysis¶
const executionPlanAnalyzer = {
analyzeNode: (node) => {
const issues = [];
if (node.type === 'TableScan' && node.rowsProcessed > 1000000) {
issues.push({
severity: 'warning',
message: 'Full table scan on large table',
suggestion: 'Add WHERE clause or create index'
});
}
if (node.type === 'DataMovement' && node.dataSize > 100) { // GB
issues.push({
severity: 'critical',
message: 'Large data movement operation',
suggestion: 'Check distribution strategy'
});
}
if (node.estimatedCost > 1000) {
issues.push({
severity: 'warning',
message: 'High cost operation',
suggestion: 'Review and optimize this step'
});
}
return issues;
}
};
💡 Optimization Patterns¶
Pattern 1: Predicate Pushdown¶
-- Before: Filter after join
SELECT c.CustomerName, s.Revenue
FROM Sales s
JOIN Customers c ON s.CustomerID = c.CustomerID
WHERE s.Revenue > 1000;
-- After: Filter before join
SELECT c.CustomerName, s.Revenue
FROM (
SELECT CustomerID, Revenue
FROM Sales
WHERE Revenue > 1000
) s
JOIN Customers c ON s.CustomerID = c.CustomerID;
Pattern 2: Partition Elimination¶
-- Before: Scans all partitions
SELECT * FROM Sales
WHERE OrderDate >= '2024-06-01';
-- After: Scans specific partitions only
SELECT * FROM Sales
WHERE OrderDate >= '2024-06-01'
AND OrderDate < '2024-07-01'; -- Exact partition boundary
🔧 Troubleshooting¶
Common Performance Issues¶
const performanceIssues = {
'Data Skew': {
symptom: 'Some workers finish much faster than others',
detection: 'Check distribution column cardinality',
solution: 'Choose better distribution column or use ROUND_ROBIN'
},
'Parameter Sniffing': {
symptom: 'Query fast sometimes, slow other times',
detection: 'Compare execution plans with different parameters',
solution: 'Use OPTION(RECOMPILE) or optimize for unknown'
},
'Missing Statistics': {
symptom: 'Poor cardinality estimates in execution plan',
detection: 'Check sys.stats_date',
solution: 'CREATE STATISTICS or UPDATE STATISTICS'
}
};
🔗 Embedded Demo Link¶
Launch Query Optimizer: https://demos.csa-inabox.com/query-optimizer
📚 Additional Resources¶
💬 Feedback¶
💡 Query Optimizer experience
- ✅ Optimized queries successfully - Share results
- ⚠️ Optimization issue - Report problem
Last Updated: January 2025 | Version: 1.0.0