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🦀 ClawHub

SQL

by @ivangdavila

Master relational databases with SQL. Schema design, queries, performance, migrations for PostgreSQL, MySQL, SQLite, SQL Server.

Versionv1.0.1
Downloads3,619
Installs31
Stars⭐ 8
#clawhub
TERMINAL
clawhub install sql

📖 About This Skill

name: SQL slug: sql version: 1.0.1 changelog: "Added SQL Server support, schema design patterns, query patterns (CTEs, window functions), operations guide (backup, monitoring, replication)" homepage: https://clawic.com/skills/sql description: Master relational databases with SQL. Schema design, queries, performance, migrations for PostgreSQL, MySQL, SQLite, SQL Server. metadata: {"clawdbot":{"emoji":"🗄️","requires":{"anyBins":["sqlite3","psql","mysql","sqlcmd"]},"os":["linux","darwin","win32"]}}

SQL

Master relational databases from the command line. Covers SQLite, PostgreSQL, MySQL, and SQL Server with battle-tested patterns for schema design, querying, migrations, and operations.

When to Use

Working with relational databases—designing schemas, writing queries, building migrations, optimizing performance, or managing backups. Applies to SQLite, PostgreSQL, MySQL, and SQL Server.

Quick Reference

| Topic | File | |-------|------| | Query patterns | patterns.md | | Schema design | schemas.md | | Operations | operations.md |

Core Rules

1. Choose the Right Database

| Use Case | Database | Why | |----------|----------|-----| | Local/embedded | SQLite | Zero setup, single file | | General production | PostgreSQL | Best standards, JSONB, extensions | | Legacy/hosting | MySQL | Wide hosting support | | Enterprise/.NET | SQL Server | Windows integration |

2. Always Parameterize Queries

# ❌ NEVER
cursor.execute(f"SELECT * FROM users WHERE id = {user_id}")
✅ ALWAYS

cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,))

3. Index Your Filters

Any column in WHERE, JOIN ON, or ORDER BY on large tables needs an index.

4. Use Transactions

BEGIN;
UPDATE accounts SET balance = balance - 100 WHERE id = 1;
UPDATE accounts SET balance = balance + 100 WHERE id = 2;
COMMIT;

5. Prefer EXISTS Over IN

-- ✅ Faster (stops at first match)
SELECT * FROM orders o WHERE EXISTS (
  SELECT 1 FROM users u WHERE u.id = o.user_id AND u.active
);

Quick Start

SQLite

sqlite3 mydb.sqlite                              # Create/open
sqlite3 mydb.sqlite "SELECT * FROM users;"       # Query
sqlite3 -header -csv mydb.sqlite "SELECT *..." > out.csv
sqlite3 mydb.sqlite "PRAGMA journal_mode=WAL;"   # Better concurrency

PostgreSQL

psql -h localhost -U myuser -d mydb              # Connect
psql -c "SELECT NOW();" mydb                     # Query
psql -f migration.sql mydb                       # Run file
\dt  \d+ users  \di+                             # List tables/indexes

MySQL

mysql -h localhost -u root -p mydb               # Connect
mysql -e "SELECT NOW();" mydb                    # Query

SQL Server

sqlcmd -S localhost -U myuser -d mydb            # Connect
sqlcmd -Q "SELECT GETDATE()"                     # Query
sqlcmd -S localhost -d mydb -E                   # Windows auth

Common Traps

NULL Traps

  • NOT IN (subquery) returns empty if subquery has NULL → use NOT EXISTS
  • NULL = NULL is NULL, not true → use IS NULL
  • COUNT(column) excludes NULLs, COUNT(*) counts all

    • Index Killers

  • Functions on columns → WHERE YEAR(date) = 2024 scans full table
  • Type conversion → WHERE varchar_col = 123 skips index
  • LIKE '%term' can't use index → only LIKE 'term%' works
  • Composite (a, b) won't help filtering only on b

    • Join Traps

  • LEFT JOIN with WHERE on right table becomes INNER JOIN
  • Missing JOIN condition = Cartesian product
  • Multiple LEFT JOINs can multiply rows

    • EXPLAIN

    -- PostgreSQL
EXPLAIN (ANALYZE, BUFFERS) SELECT * FROM orders WHERE user_id = 5;
    -- SQLite
EXPLAIN QUERY PLAN SELECT * FROM orders WHERE user_id = 5;

    Red flags:

  • Seq Scan on large tables → needs index
  • Rows Removed by Filter high → index doesn't cover filter
  • Actual vs estimated rows differ → run ANALYZE tablename;

    • Index Strategy

    -- Composite index (equality first, range last)
CREATE INDEX idx_orders ON orders(user_id, status);
    -- Covering index (avoids table lookup)
CREATE INDEX idx_orders ON orders(user_id) INCLUDE (total);
    -- Partial index (smaller, faster)
CREATE INDEX idx_pending ON orders(user_id) WHERE status = 'pending';

    Portability

    | Feature | PostgreSQL | MySQL | SQLite | SQL Server | |---------|------------|-------|--------|------------| | LIMIT | LIMIT n | LIMIT n | LIMIT n | TOP n | | UPSERT | ON CONFLICT | ON DUPLICATE KEY | ON CONFLICT | MERGE | | Boolean | true/false | 1/0 | 1/0 | 1/0 | | Concat | \|\| | CONCAT() | \|\| | + |

    Related Skills

    Install with clawhub install if user confirms:
  • prisma — Node.js ORM
  • sqlite — SQLite-specific patterns
  • analytics — data analysis queries

    • Feedback

  • If useful: clawhub star sql
  • Stay updated: clawhub sync

    • ⚡ When to Use

    Working with relational databases—designing schemas, writing queries, building migrations, optimizing performance, or managing backups. Applies to SQLite, PostgreSQL, MySQL, and SQL Server.

    💡 Examples

    SQLite

    sqlite3 mydb.sqlite                              # Create/open
sqlite3 mydb.sqlite "SELECT * FROM users;"       # Query
sqlite3 -header -csv mydb.sqlite "SELECT *..." > out.csv
sqlite3 mydb.sqlite "PRAGMA journal_mode=WAL;"   # Better concurrency

    PostgreSQL

    psql -h localhost -U myuser -d mydb              # Connect
psql -c "SELECT NOW();" mydb                     # Query
psql -f migration.sql mydb                       # Run file
\dt  \d+ users  \di+                             # List tables/indexes

    MySQL

    mysql -h localhost -u root -p mydb               # Connect
mysql -e "SELECT NOW();" mydb                    # Query

    SQL Server

    sqlcmd -S localhost -U myuser -d mydb            # Connect
sqlcmd -Q "SELECT GETDATE()"                     # Query
sqlcmd -S localhost -d mydb -E                   # Windows auth