Elasticsearch Cheat Sheet
Practical Elasticsearch cheat sheet with setup steps, core workflows, debugging, and copy-paste examples.
elasticsearch queries schema performance
Elasticsearch cheat sheet with real commands and snippets for setup, core workflows, debugging, and production-safe automation patterns. If you are working across tools, pair this with the MongoDB Cheat Sheet and SQL Cheat Sheet.
Setup and Connection
Goal: Connect to database shell or endpoint
# Run connection or version command
curl -s http://localhost:9200
# Run connection or version command
curl -s http://localhost:9200/_cat/indices?v
# Run connection or version command
curl -s http://localhost:9200/_cluster/health?pretty
Schema and Data Modeling
Goal: Create a table/index/schema foundation
# Create index with explicit mappings for reliable queries
curl -X PUT 'http://localhost:9200/logs' -H 'Content-Type: application/json' -d '{
"mappings": {
"properties": {
"level": { "type": "keyword" },
"message": { "type": "text" },
"created_at": { "type": "date" }
}
}
}'
Core Queries and Mutations
Goal: Run practical read/write operations
# Search logs by text and date range
curl -X GET 'http://localhost:9200/logs/_search' -H 'Content-Type: application/json' -d '{
"query": {
"bool": {
"must": [{ "match": { "message": "timeout" }}],
"filter": [{ "range": { "created_at": { "gte": "now-7d" }}}]
}
}
}'
Performance and Optimization
Goal: Add indexes and inspect query plans
# Inspect index stats and shard allocation
curl -s http://localhost:9200/logs/_stats?pretty
curl -s http://localhost:9200/_cat/shards/logs?v
Automation and Backups
Goal: Create backup and restore routines
# Export data snapshot before risky migrations
pg_dump "$DATABASE_URL" > backup.sql || mysqldump appdb > backup.sql || true
# Compress backup artifact for storage
gzip -f backup.sql || true
# Verify backup file exists and has content
ls -lh backup.sql.gz || ls -lh backup.sql
Debugging and Troubleshooting
Goal: Inspect slow-query symptoms
# Check active connections/sessions
psql -c "SELECT now();" || mysql -e "SELECT NOW();" || true
# Inspect query plans for heavy statements
psql -c "EXPLAIN SELECT 1;" || mysql -e "EXPLAIN SELECT 1;" || true
# Search migration files for destructive statements
rg "DROP TABLE|TRUNCATE|DELETE FROM" prisma migrations sql -n
Common Gotchas
- Use transactions for multi-step Elasticsearch data changes that must stay consistent.
- Create indexes for frequent WHERE and JOIN columns, then verify with query plans.
- Back up production data before schema migrations.
- Separate read-only credentials from write credentials in app environments.
- Monitor connection pool limits to avoid timeout spikes under load.
Related Sheets
- MongoDB Cheat Sheet — daily MongoDB commands and production-ready examples.
- SQL Cheat Sheet — query patterns, joins, and data analysis.
- Kubernetes Cheat Sheet — cluster deployment, rollout, and observability commands.
Related Cheat Sheets
SQL Cheat Sheet
Practical SQL cheat sheet with setup steps, core workflows, debugging, and copy-paste examples.
Kubernetes Cheat Sheet
Practical Kubernetes cheat sheet with setup steps, core workflows, debugging, and copy-paste examples.
MongoDB Cheat Sheet
Practical MongoDB cheat sheet with setup steps, core workflows, debugging, and copy-paste examples.