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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:

EXPLAIN ANALYZE SELECT ...;
-- Look for Seq Scan on large tables

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

-- Daily
ANALYZE;
VACUUM;

-- Weekly
REINDEX;
ANALYZE;

-- Monthly
VACUUM FULL;
CLUSTER;

Monitoring

-- Performance dashboard
SELECT * FROM performance_overview;

-- Query performance trends
SELECT * FROM query_performance_history
WHERE measure_date >= NOW() - INTERVAL '7 days';

Best Practices

  1. Create indexes on frequently filtered columns
  2. Use EXPLAIN ANALYZE before optimizing
  3. Monitor query performance trends
  4. Cache hot data
  5. Partition large tables
  6. Regular maintenance
  7. Test performance changes

Related Documentation: - Query Optimization Guide - Index Strategy Guide