HeliosDB Performance Tuning Playbook¶
Version: 1.0 Last Updated: 2025-11-30
Performance Assessment¶
-- Baseline query performance
SELECT * FROM performance_baseline_report;
-- Identify slow queries
SELECT
query,
execution_count,
avg_time_ms,
max_time_ms
FROM pg_stat_statements
ORDER BY avg_time_ms DESC
LIMIT 20;
Scenario 1: Slow SELECT Queries¶
Problem: SELECT queries taking >1 second
Diagnosis:
Solutions:
-- 1. Add indexes
CREATE INDEX idx_col ON table(column);
-- 2. Optimize JOIN order (use hints)
SELECT /*+ LEADING(t1 t2) */ ...
-- 3. Use quantum optimizer for complex queries
SELECT /*+ OPTIMIZER(quantum) */ ...
-- 4. Enable query cache
ALTER TABLE frequently_queried ENABLE INTELLIGENT_CACHING;
Scenario 2: Slow Aggregations¶
Problem: GROUP BY, SUM, COUNT taking too long
Solutions:
-- 1. Create materialized view
CREATE MATERIALIZED VIEW summary AS
SELECT date, SUM(amount) FROM orders GROUP BY date;
-- 2. Enable parallel aggregation
SET max_parallel_workers = 4;
-- 3. Pre-aggregate data
CREATE TABLE daily_summary AS
SELECT DATE(order_date), SUM(amount)
FROM orders
GROUP BY DATE(order_date);
Scenario 3: High Memory Usage¶
Problem: Database consuming too much memory
Solutions:
-- 1. Reduce cache size
ALTER DATABASE SET CACHE_PARAMS (max_size_mb = 1024);
-- 2. Limit work_mem
SET work_mem = '64MB';
-- 3. Monitor memory
SELECT * FROM memory_usage_report;
Scenario 4: High Disk I/O¶
Problem: Excessive disk reads
Solutions:
-- 1. Enable caching
ALTER TABLE large_table ENABLE INTELLIGENT_CACHING;
-- 2. Optimize storage
VACUUM FULL large_table;
REINDEX table_name;
-- 3. Use BRIN indexes for large tables
CREATE INDEX idx_large USING BRIN(id);
Scenario 5: Replication Lag¶
Problem: Replicas falling behind
Solutions:
-- 1. Check lag
SELECT MAX(pg_wal_lsn_diff(pg_current_wal_lsn(), replay_lsn))
FROM pg_stat_replication;
-- 2. Increase wal_keep_size
ALTER SYSTEM SET wal_keep_size = '2GB';
-- 3. Use asynchronous replication if lag acceptable
ALTER SYSTEM SET synchronous_commit = off;
Regular Maintenance¶
Monitoring¶
-- Performance dashboard
SELECT * FROM performance_overview;
-- Query performance trends
SELECT * FROM query_performance_history
WHERE measure_date >= NOW() - INTERVAL '7 days';
Best Practices¶
- Create indexes on frequently filtered columns
- Use EXPLAIN ANALYZE before optimizing
- Monitor query performance trends
- Cache hot data
- Partition large tables
- Regular maintenance
- Test performance changes
Related Documentation: - Query Optimization Guide - Index Strategy Guide