Live optimizer for queries, scripts, and data jobs.

Paste SQL or Python, run it against an in-browser runtime, catch syntax/runtime errors, generate test data, and ship optimized code through the API.

SQL engine

No syntax issues detected

Input — SQL

Optimized Output

😌

0%est. speedup

Applied changes · 1

▸

No safe rewrite: Query is already efficient — inspect EXPLAIN for plan-level wins.

✓ Literals & predicates preserved — no business-logic drift.

SELECT u.name, o.total
FROM users u
JOIN orders o ON u.id = o.user_id
WHERE o.created_at > '2023-01-01'
AND u.status = 'active'
ORDER BY o.total DESC
LIMIT 10;

Live Run

Ready

Run the current input or optimized output to see real execution results.

Engine Tips · POSTGRESQL

best practices

Partitioning

Declarative range partitioning

Partition large tables by RANGE on a date/id column; combine with partition-wise joins (enable_partitionwise_join=on) to prune at plan time.

Indexing

BRIN for append-only time-series

BRIN indexes are 1000× smaller than B-tree on monotonically-increasing columns (created_at, id) and pair perfectly with range partitioning.

Indexing

Covering & partial indexes

Use INCLUDE for index-only scans and WHERE-clauses for partial indexes (e.g. status='active') — slashes index size & write amplification.

Statistics & Planner

Boost statistics on skewed columns

ALTER TABLE … ALTER COLUMN … SET STATISTICS 1000 then ANALYZE — gives the planner better selectivity estimates on hot columns.

Functions & UDFs

Mark functions IMMUTABLE / STABLE

Volatility tags let the planner inline & cache results. Pure functions should be IMMUTABLE PARALLEL SAFE.

Concurrency / Threading

Tune parallel workers

Set max_parallel_workers_per_gather, parallel_setup_cost, and min_parallel_table_scan_size; large analytical scans benefit hugely.

Sourced from official docs (Spark tuning guide, ClickHouse docs, Postgres planner notes) and OSS community best-practice repos.

Production API, not a placeholder

The endpoint is live for external tools, CI checks, and workflow automations. It validates input, returns diagnostics, rewrites, speed estimates, and CORS-ready JSON responses.

Test it in the optimizer →

bash

curl https://code-optimizer.instaluxe.in/api/public/v1/optimize \
  -H "Content-Type: application/json" \
  -d '{
    "engine": "postgresql",
    "code": "SELECT * FROM orders WHERE created_at >= 2024-01-01"
  }'