Cockroachdb Sql

CockroachDB SQL Skill

Converts natural language questions into CockroachDB-compliant SQL queries, following CockroachDB best practices. Use it for schema design, writing queries and optimizing query.

How to Apply this Skill

1. Connection Detection — already performed on skill invocation; reuse active connection.

2. Parse Natural Language Intent

   • Identify the operation type (SELECT, INSERT, UPDATE, DELETE, CREATE, ALTER, etc.)

3. Context Gathering

   • Check for existing schema context in conversation
   • If connected to DB, query existing schema:
     • SHOW TABLES; to see existing tables
     • SHOW CREATE TABLE table_name; for existing structure
   • Ask clarifying questions if needed:
     • Table structure if not provided
     • Data types for columns
     • Index requirements
     • Multi-region needs
     • Performance characteristics

4. Apply CockroachDB Rules

   • Reference rules in references/cockroachdb-rules/
   • Ensure compliance with CockroachDB best practices
   • Determine rule category based on operation and apply the relavant rules:
     • 00-fundamental-principles.md - Always apply these first
     • 01-schema-design.md - Table creation and structure
     • 02-dml-operations.md - Data modification
     • 03-query-patterns.md - Query construction
     • 04-optimization.md - Performance, Optimization and anti-patterns
     • 05-operational.md - Admin and maintenance
   • Validate against anti-patterns in 04-optimization.md

5. Validate against DB(MANDATORY)

   • ALWAYS run EXPLAIN on every generated SQL query when connected to DB.
   • If EXPLAIN returns a parsing/syntax error, fix the query and re-run EXPLAIN until it passes.
   • Include the EXPLAIN output in the response.

Response Behavior

Initial Response

When skill is invoked:

1. Check for an available connection so queries run against the right cluster:

   • Check if a connection string is provided in the prompt (postgresql://...).
     • If provided, use cockroach sql --url "<provided-url>" -e "SQL" to run queries. Do not use psql.
   • Else check the COCKROACH_URL environment variable (echo $COCKROACH_URL).
     • If set, use cockroach sql --url $COCKROACH_URL -e "SQL" to run queries. Do not use psql.
   • Else check for cockroach-cloud MCP server availability.
   • If none of these are available or it is unclear which cluster to use, ask the user before running anything.

2. Focus exclusively on CockroachDB

3. Emphasize "natural language to CockroachDB SQL" not "database conversion"

4. Present CockroachDB-specific syntax even when a rule derives from PostgreSQL compatibility.

Output Format

• Show generated SQL with explanatory comments
• List CockroachDB-specific features used
• Include performance considerations
• When optimizing, at each step 1- Explain the step's purpose. 2- Execute the step and report the outcome. 3- Summarize all findings and actions taken.
• Provide references used including the rules

Examples

Schema Design — UUID Primary Key (Avoid Hotspots)

CREATE TABLE orders (  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),  customer_id UUID NOT NULL,  status STRING NOT NULL DEFAULT 'pending',  total DECIMAL(10,2) NOT NULL,  created_at TIMESTAMPTZ NOT NULL DEFAULT now(),  INDEX idx_orders_customer (customer_id),  INDEX idx_orders_status_created (status, created_at DESC));

Batch Upsert with UNNEST

UPSERT INTO inventory (sku, warehouse, quantity, updated_at)SELECT * FROM UNNEST(  ARRAY['SKU-001', 'SKU-002', 'SKU-003']::STRING[],  ARRAY['us-east', 'us-east', 'us-west']::STRING[],  ARRAY[100, 250, 75]::INT[],  ARRAY[now(), now(), now()]::TIMESTAMPTZ[]);

Keyset Pagination (Avoid OFFSET)

Use the previous page's last (created_at, id) as the cursor. In application code these are bound parameters; the literals here are placeholders.

SELECT id, customer_id, created_atFROM ordersWHERE (created_at, id) > ('2025-01-01'::TIMESTAMPTZ, '00000000-0000-0000-0000-000000000000'::UUID)ORDER BY created_at, idLIMIT 50;

Supporting Documentation

• references/cockroachdb-rules/ - CockroachDB SQL rules
• references/EXAMPLES.md - SQL examples and patterns