| name | analyzing-timescaledb |
| description | Use when working with Timescaledb — timescaleDB hypertable analysis, chunk
management, continuous aggregates, compression policies, and time-series
optimization.
|
| connection_type | timescaledb |
| preload | false |
TimescaleDB Analysis Skill
Analyze and optimize TimescaleDB hypertables with safe, read-only operations.
MANDATORY: Two-Phase Execution
You MUST follow this two-phase pattern. Skipping Phase 1 causes hallucinated hypertable/column names.
Phase 1: Discovery (ALWAYS run first)
#!/bin/bash
psql "$TIMESCALE_URI" -c "SELECT extversion FROM pg_extension WHERE extname = 'timescaledb';"
psql "$TIMESCALE_URI" -c "SELECT hypertable_schema, hypertable_name, num_dimensions, num_chunks, compression_enabled FROM timescaledb_information.hypertables ORDER BY hypertable_name;"
psql "$TIMESCALE_URI" -c "\d my_schema.my_hypertable"
psql "$TIMESCALE_URI" -c "SELECT * FROM timescaledb_information.dimensions WHERE hypertable_name = 'my_hypertable';"
psql "$TIMESCALE_URI" -c "SELECT * FROM my_schema.my_hypertable ORDER BY time_column DESC LIMIT 5;"
Phase 1 outputs:
- TimescaleDB version and hypertable list
- Hypertable schemas with confirmed column names
- Dimension info (time column, partitioning)
Phase 2: Analysis (only after Phase 1)
Only reference hypertables, columns, and chunks confirmed in Phase 1.
Shell Script Patterns
Helper Function
#!/bin/bash
tsdb_query() {
local query="$1"
psql "${TIMESCALE_URI:-postgres://localhost:5432/tsdb}" -t -A -F$'\t' -c "$query"
}
Anti-Hallucination Rules
- NEVER reference a hypertable without confirming via
timescaledb_information.hypertables
- NEVER reference column names without seeing them in
\d output
- NEVER assume the time column name — always check
timescaledb_information.dimensions
- NEVER guess chunk intervals — always read from dimension info
- NEVER assume compression settings — check
timescaledb_information.compression_settings
Safety Rules
- READ-ONLY ONLY: Use only SELECT, EXPLAIN, information views, pg_catalog queries
- FORBIDDEN: DROP, ALTER, INSERT, UPDATE, DELETE, add_compression_policy, remove_compression_policy without explicit user request
- ALWAYS add
LIMIT to queries or use time-bounded WHERE clauses
- Use
EXPLAIN ANALYZE carefully — it executes the query
- Prefer information views over raw chunk access
Common Operations
Hypertable Health Overview
#!/bin/bash
echo "=== TimescaleDB Version ==="
tsdb_query "SELECT extversion FROM pg_extension WHERE extname = 'timescaledb';"
echo ""
echo "=== Hypertables ==="
tsdb_query "SELECT hypertable_schema, hypertable_name, num_chunks, compression_enabled FROM timescaledb_information.hypertables ORDER BY hypertable_name;"
echo ""
echo "=== Total Hypertable Sizes ==="
tsdb_query "SELECT hypertable_schema || '.' || hypertable_name as hypertable, pg_size_pretty(hypertable_size(format('%I.%I', hypertable_schema, hypertable_name)::regclass)) as total_size, pg_size_pretty(hypertable_data_size(format('%I.%I', hypertable_schema, hypertable_name)::regclass)) as data_size, pg_size_pretty(hypertable_index_size(format('%I.%I', hypertable_schema, hypertable_name)::regclass)) as index_size FROM timescaledb_information.hypertables ORDER BY hypertable_size(format('%I.%I', hypertable_schema, hypertable_name)::regclass) DESC;"
Chunk Management Analysis
#!/bin/bash
HYPERTABLE="${1:-my_hypertable}"
echo "=== Chunk Summary ==="
tsdb_query "SELECT count(*) as total_chunks, count(*) FILTER (WHERE is_compressed) as compressed_chunks, min(range_start) as oldest_data, max(range_end) as newest_data FROM timescaledb_information.chunks WHERE hypertable_name = '$HYPERTABLE';"
echo ""
echo "=== Recent Chunks (last 10) ==="
tsdb_query "SELECT chunk_name, pg_size_pretty(chunk_size(chunk_schema, chunk_name)) as size, range_start, range_end, is_compressed FROM timescaledb_information.chunks WHERE hypertable_name = '$HYPERTABLE' ORDER BY range_end DESC LIMIT 10;"
echo ""
echo "=== Chunk Sizes Distribution ==="
tsdb_query "SELECT CASE WHEN is_compressed THEN 'compressed' ELSE 'uncompressed' END as state, count(*) as chunks, pg_size_pretty(sum(chunk_size(chunk_schema, chunk_name))) as total_size FROM timescaledb_information.chunks WHERE hypertable_name = '$HYPERTABLE' GROUP BY is_compressed;"
Continuous Aggregates Analysis
#!/bin/bash
echo "=== Continuous Aggregates ==="
tsdb_query "SELECT view_schema, view_name, materialization_hypertable_schema, materialization_hypertable_name, view_definition FROM timescaledb_information.continuous_aggregates;"
echo ""
echo "=== Continuous Aggregate Policies ==="
tsdb_query "SELECT application_name, hypertable_schema, hypertable_name, schedule_interval, config FROM timescaledb_information.jobs WHERE application_name LIKE '%continuous%' ORDER BY hypertable_name;"
echo ""
echo "=== Job Stats ==="
tsdb_query "SELECT job_id, application_name, last_run_status, last_run_started_at, last_run_duration, next_start FROM timescaledb_information.job_stats ORDER BY last_run_started_at DESC LIMIT 15;"
Compression Analysis
#!/bin/bash
HYPERTABLE="${1:-my_hypertable}"
echo "=== Compression Settings ==="
tsdb_query "SELECT * FROM timescaledb_information.compression_settings WHERE hypertable_name = '$HYPERTABLE';"
echo ""
echo "=== Compression Ratio ==="
tsdb_query "SELECT pg_size_pretty(before_compression_total_bytes) as before, pg_size_pretty(after_compression_total_bytes) as after, round((1 - after_compression_total_bytes::numeric / before_compression_total_bytes) * 100, 1) as compression_pct FROM hypertable_compression_stats('$HYPERTABLE');" 2>/dev/null || echo "No compression stats available"
echo ""
echo "=== Retention Policies ==="
tsdb_query "SELECT application_name, hypertable_name, schedule_interval, config FROM timescaledb_information.jobs WHERE application_name LIKE '%retention%';"
Output Format
Present results as a structured report:
Analyzing Timescaledb Report
════════════════════════════
Resources discovered: [count]
Resource Status Key Metric Issues
──────────────────────────────────────────────
[name] [ok/warn] [value] [findings]
Summary: [total] resources | [ok] healthy | [warn] warnings | [crit] critical
Action Items: [list of prioritized findings]
Target ≤50 lines of output. Use tables for multi-resource comparisons.
Counter-Rationalizations
| Shortcut | Counter | Why |
|---|
| "I'll skip discovery and check known resources" | Always run Phase 1 discovery first | Resource names change, new resources appear — assumed names cause errors |
| "The user only asked for a quick check" | Follow the full discovery → analysis flow | Quick checks miss critical issues; structured analysis catches silent failures |
| "Default configuration is probably fine" | Audit configuration explicitly | Defaults often leave logging, security, and optimization features disabled |
| "Metrics aren't needed for this" | Always check relevant metrics when available | API/CLI responses show current state; metrics reveal trends and intermittent issues |
| "I don't have access to that" | Try the command and report the actual error | Assumed permission failures prevent useful investigation; actual errors are informative |
Common Pitfalls
- Chunk interval sizing: Too small = many chunks and overhead; too large = slow queries. Match to your query patterns
- Compression timing: Compressing too recent data blocks inserts; too old wastes storage
- Continuous aggregate refresh lag: Real-time aggregates have overhead; materialized-only have staleness
- Index on time column: Hypertables automatically index the time dimension — avoid duplicate indexes
- Cross-chunk queries: Queries spanning many chunks can be slow — use time-bounded WHERE clauses
- Space partitioning: Hash partitioning adds complexity — only use when data exceeds single-node capacity