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add /check-perf command for logfire performance analysis
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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.claude/commands/check-perf.md
+84
.claude/commands/check-perf.md
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# check performance via logfire
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use `mcp__logfire__arbitrary_query` with `age` in minutes (max 43200 = 30 days).
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note: `duration` is in seconds (DOUBLE PRECISION), multiply by 1000 for ms.
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## latency percentiles by endpoint
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```sql
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SELECT span_name,
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COUNT(*) as count,
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ROUND(PERCENTILE_CONT(0.50) WITHIN GROUP (ORDER BY duration) * 1000, 2) as p50_ms,
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ROUND(PERCENTILE_CONT(0.95) WITHIN GROUP (ORDER BY duration) * 1000, 2) as p95_ms,
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ROUND(PERCENTILE_CONT(0.99) WITHIN GROUP (ORDER BY duration) * 1000, 2) as p99_ms
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FROM records
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WHERE span_name LIKE 'http.%'
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GROUP BY span_name
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ORDER BY count DESC
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```
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## slow requests with trace IDs
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```sql
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SELECT span_name, duration * 1000 as ms, trace_id, start_timestamp
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FROM records
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WHERE span_name LIKE 'http.%' AND duration > 0.1
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ORDER BY duration DESC
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LIMIT 20
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```
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## trace breakdown (drill into slow request)
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```sql
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SELECT span_name, duration * 1000 as ms, message, attributes->>'sql' as sql
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FROM records
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WHERE trace_id = '<TRACE_ID>'
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ORDER BY start_timestamp
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```
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## database comparison (turso vs local)
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```sql
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SELECT
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CASE WHEN span_name = 'db.query' THEN 'turso'
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WHEN span_name = 'db.local.query' THEN 'local' END as db,
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COUNT(*) as queries,
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ROUND(AVG(duration) * 1000, 2) as avg_ms,
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ROUND(MAX(duration) * 1000, 2) as max_ms
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FROM records
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WHERE span_name IN ('db.query', 'db.local.query')
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GROUP BY db
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```
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## recent errors
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```sql
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SELECT start_timestamp, span_name, exception_type, exception_message
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FROM records
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WHERE exception_type IS NOT NULL
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ORDER BY start_timestamp DESC
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LIMIT 10
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```
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## traffic pattern (requests per minute)
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```sql
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SELECT date_trunc('minute', start_timestamp) as minute,
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COUNT(*) as requests
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FROM records
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WHERE span_name LIKE 'http.%'
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GROUP BY minute
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ORDER BY minute DESC
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LIMIT 30
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```
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## search query distribution
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```sql
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SELECT attributes->>'query' as query, COUNT(*) as count
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FROM records
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WHERE span_name = 'http.search' AND attributes->>'query' IS NOT NULL
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GROUP BY query
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ORDER BY count DESC
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LIMIT 20
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```
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## typical workflow
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1. run latency percentiles to get baseline
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2. if p95/p99 high, find slow requests with trace IDs
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3. drill into specific trace to see which child spans are slow
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4. check db comparison to see if turso calls are the bottleneck