mcpbeat

Neo4j Query Tuning Skill

neo4j-contrib/neo4j-query-tuning-skill

Diagnoses and fixes slow Neo4j Cypher queries by reading execution plans, identifying bad operators (AllNodesScan, CartesianProduct, Eager, NodeByLabelScan), and prescribing fixes (indexes, hints, query rewrites, runtime selection). Use when a query is slow, when EXPLAIN or PROFILE output needs interpretation, when dbHits or pageCacheHitRatio are poor, when cardinality estimation diverges from actuals, or when deciding between slotted/pipelined/parallel runtimes. Covers USING INDEX / USING SCAN / USING JOIN hints, db.stats.retrieve, SHOW QUERIES, SHOW TRANSACTIONS, TERMINATE TRANSACTION. Does NOT write new Cypher from scratch — use neo4j-cypher-skill. Does NOT cover GDS algorithm tuning — use neo4j-gds-skill. Does NOT cover index/constraint creation syntax details — use neo4j-cypher-skill references/indexes.md.

6k tokens
context cost
the whole folder, loaded on every use
4
files
instructions only
0
copies elsewhere
how many repositories repackaged it
101
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/neo4j-contrib/neo4j-skills --skill neo4j-query-tuning-skill

What comes with it

14 207 bytes besides the instruction
README.md
references/plan-operators.md
references/stats-and-monitoring.md

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting
WebFetch fetches pages from the network

The instruction itself

21 sections, as written by the author

When to Use

  • Query takes unexpectedly long; need root-cause analysis
  • EXPLAIN/PROFILE output in hand — needs interpretation
  • Identifying which index is missing or unused
  • Deciding between slotted / pipelined / parallel runtimes
  • Monitoring live queries: SHOW QUERIES, SHOW TRANSACTIONS
  • Cardinality estimates wrong (plan replanning needed)

When NOT to Use

  • Writing Cypher from scratchneo4j-cypher-skill
  • GDS algorithm performanceneo4j-gds-skill
  • Schema design / data modellingneo4j-modeling-skill

EXPLAIN vs PROFILE

| | EXPLAIN | PROFILE |

|---|---|---|

| Executes query? | No | Yes |

| Returns data? | No | Yes |

| Shows rows (actual) | No | Yes |

| Shows dbHits (actual) | No | Yes |

| Shows estimatedRows | Yes | Yes |

| Cost | Zero | Full query cost |

Run PROFILE twice — first run warms page cache; second gives representative metrics.

EXPLAIN MATCH (p:Person {email: $email}) RETURN p.name
PROFILE MATCH (p:Person {email: $email}) RETURN p.name

Query API alternative (no driver):

curl -X POST https://<host>/db/<db>/query/v2 \
  -u <user>:<pass> -H "Content-Type: application/json" \
  -d '{"statement": "EXPLAIN MATCH (p:Person {email: $email}) RETURN p.name", "parameters": {"email": "[email protected]"}}'

Key Plan Metrics

| Metric | Good | Investigate if |

|---|---|---|

| dbHits | Low; drops after index added | High relative to rows |

| rows | Shrinks early in plan | Large until final operator |

| estimatedRows | Close to rows | >10× divergence from actual |

| pageCacheHitRatio | >0.99 | <0.90 (disk I/O bottleneck) |

| pageCacheHits | High | — |

| pageCacheMisses | Near 0 | Rising (page cache too small) |

Read plans bottom-up — leaf operators at bottom initiate data retrieval.


Operator Reference

| Operator | Good/Bad | Meaning | Fix |

|---|---|---|---|

| NodeIndexSeek | ✓ | Exact match via RANGE/LOOKUP index | — |

| NodeUniqueIndexSeek | ✓ | Unique constraint index hit | — |

| NodeIndexContainsScan | ✓ | TEXT index CONTAINS / STARTS WITH | — |

| NodeIndexScan | ~ | Full index scan (no predicate) | Add WHERE predicate or composite index |

| NodeByLabelScan | ✗ | Scans all nodes of label | Add RANGE index on lookup property |

| AllNodesScan | ✗✗ | Scans entire node store | Add label + index to MATCH |

| Expand(All) | ~ | Traverse relationships from node | Normal; limit with LIMIT or WHERE |

| Expand(Into) | ~ | Find rels between two matched nodes | Normal for known-endpoint joins |

| Filter | ~ | Predicate applied after scan | Move predicate into WHERE with index |

| CartesianProduct | ✗ | No join predicate between two MATCH | Add WHERE join or use WITH between MATCHes |

| NodeHashJoin | ~ | Hash join on node IDs | Normal; planner chose hash join |

| ValueHashJoin | ~ | Hash join on values | Normal; watch memory for large inputs |

| EagerAggregation | ~ | Full aggregation (ORDER BY, count(*)) | Normal for aggregates |

| Aggregation | ✓ | Streaming aggregation | — |

| Eager | ✗ | Read/write conflict; materialises all rows | See Eager fix strategies below |

| Sort | ~ | Full sort — O(n log n) | Add LIMIT before Sort; push LIMIT earlier |

| Top | ✓ | Sort+Limit combined — O(n log k) | Preferred over Sort+Limit |

| Limit | ✓ | Truncates rows early | Push as early as possible |

| Skip | ~ | Offset pagination | Use keyset pagination on large graphs |

| ProduceResults | — | Final output operator | Root of tree |

| UndirectedRelationshipByIdSeekPipe | ~ | Lookup by relationship ID | Avoid id(r) — use elementId(r) |

Full operator reference → references/plan-operators.md


Diagnostic Workflow (Agent Runbook)

Step 1 — Baseline Plan

EXPLAIN <query>

Scan output for AllNodesScan, NodeByLabelScan, CartesianProduct, Eager.

Step 2 — Check Indexes

SHOW INDEXES YIELD name, type, labelsOrTypes, properties, state
WHERE state = 'ONLINE'

Find whether the label/property from the bad operator has an index.

Step 3 — Create Missing Index

// RANGE index for equality/range predicates:
CREATE INDEX person_email IF NOT EXISTS FOR (n:Person) ON (n.email)
// TEXT index for CONTAINS/ENDS WITH:
CREATE TEXT INDEX person_bio IF NOT EXISTS FOR (n:Person) ON (n.bio)
// Composite for multi-property lookup:
CREATE INDEX order_status_date IF NOT EXISTS FOR (n:Order) ON (n.status, n.createdAt)

Wait for state = 'ONLINE' before measuring.

Step 4 — Profile After Fix

PROFILE <query>

Compare dbHits and elapsed ms before/after. Target: NodeIndexSeek replaces scan operators.

Step 5 — Stale Statistics (if estimatedRows wildly off)

CALL db.prepareForReplanning()
// or resample a specific index:
CALL db.resampleIndex("person_email")
// or resample all outdated:
CALL db.resampleOutdatedIndexes()

Config: dbms.cypher.statistics_divergence_threshold (default 0.75 — plan expires when stat changes >75%).


Fixing Common Plan Problems

Missing Index → NodeByLabelScan / AllNodesScan

// Force index hint when planner ignores it:
MATCH (p:Person {email: $email})
USING INDEX p:Person(email)
RETURN p.name
// Force label scan (sometimes faster for high selectivity):
MATCH (p:Person {email: $email})
USING SCAN p:Person
RETURN p.name

Wrong Anchor — Planner Picks Wrong Starting Node

Reorder MATCH or use hints:

// Force join at specific node:
MATCH (a:Author)-[:WROTE]->(b:Book)-[:IN_CATEGORY]->(c:Category {name: $cat})
USING JOIN ON b
RETURN a.name, b.title

CartesianProduct — Two Unconnected MATCHes

// Bad (Cartesian product):
MATCH (a:Author {id: $aid})
MATCH (b:Book  {id: $bid})
RETURN a.name, b.title

// Good (explicit join or WITH):
MATCH (a:Author {id: $aid})-[:WROTE]->(b:Book {id: $bid})
RETURN a.name, b.title
// Or: WITH between them to reset planning context

Eager — Read/Write Conflict

Three strategies (pick simplest):

  • Add specific labels to MATCH nodes so planner distinguishes read/write sets
  • Collect-then-write: WITH collect(n) AS nodes UNWIND nodes AS n SET n.x = 1
  • CALL IN TRANSACTIONS: isolates each batch in its own transaction
CYPHER 25
MATCH (p:Person) WHERE p.score > 100
CALL (p) { SET p.tier = 'gold' } IN TRANSACTIONS OF 1000 ROWS

Expensive CONTAINS / ENDS WITH

// Needs TEXT index (RANGE does NOT support these):
CREATE TEXT INDEX person_bio IF NOT EXISTS FOR (n:Person) ON (n.bio)
MATCH (p:Person) WHERE p.bio CONTAINS $keyword RETURN p.name

Over-Traversal — Push LIMIT Early

// Bad: LIMIT after expensive join
MATCH (a:Author)-[:WROTE]->(b:Book)-[:REVIEWED_BY]->(r:Review)
RETURN a.name, b.title, r.text LIMIT 10

// Good: anchor limit before fan-out
MATCH (a:Author)-[:WROTE]->(b:Book)
WITH a, b LIMIT 10
MATCH (b)-[:REVIEWED_BY]->(r:Review)
RETURN a.name, b.title, r.text

Cypher Runtime Selection

| Runtime | Select | Best For | Avoid When |

|---|---|---|---|

| pipelined | CYPHER runtime=pipelined | Default OLTP; streaming, low memory | Unsupported operators fall back to slotted |

| slotted | CYPHER runtime=slotted | Guaranteed stable behavior; debug | Performance-critical OLTP |

| parallel | CYPHER 25 runtime=parallel | Large analytical scans; aggregations | OLTP, writes, short queries, Aura Free |

Pipelined is default for most queries. Parallel requires dbms.cypher.parallel.worker_limit configured; available on Enterprise and Aura Pro 2025+.

// Force parallel for large aggregation:
CYPHER 25 runtime=parallel
MATCH (n:Transaction) WHERE n.amount > 1000
RETURN n.currency, count(*), sum(n.amount)

Query Monitoring Commands

// Live queries + resource usage:
SHOW QUERIES YIELD query, queryId, elapsedTimeMillis, allocatedBytes, status, username

// Running transactions:
SHOW TRANSACTIONS YIELD transactionId, currentQuery, currentQueryProgress, elapsedTime, status, username, cpuTime, activeLockCount  // currentQueryProgress added [2026.03]

// Kill a specific transaction:
TERMINATE TRANSACTION $transactionId

// Kill a query:
TERMINATE QUERY $queryId

// Graph count stats (node/rel counts by label/type — feed into planner):
CALL db.stats.retrieve('GRAPH COUNTS') YIELD section, data RETURN section, data

// Token stats (label/property/rel-type IDs):
CALL db.stats.retrieve('TOKENS') YIELD section, data RETURN section, data

Full monitoring reference → references/stats-and-monitoring.md


Checklist

  • [ ] Run EXPLAIN first — identifies plan problems without execution cost
  • [ ] Check for AllNodesScan / NodeByLabelScan — missing index
  • [ ] Check for CartesianProduct — missing join predicate
  • [ ] Check for Eager — read/write conflict
  • [ ] SHOW INDEXES — confirm relevant index exists and state = 'ONLINE'
  • [ ] Create missing index; wait for ONLINE
  • [ ] Run PROFILE twice — first warms cache, second is representative
  • [ ] Compare dbHits before/after fix
  • [ ] If estimatedRows wildly off → CALL db.prepareForReplanning()
  • [ ] Push LIMIT / WITH n LIMIT k before high-fanout operations
  • [ ] For CONTAINS/ENDS WITH — TEXT index, not RANGE
  • [ ] For large analytical queries — consider runtime=parallel
  • [ ] Kill long-running queries with TERMINATE TRANSACTION

How to use it

Copy the folder

Take neo4j-contrib/neo4j-query-tuning-skill from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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