mcpbeat

Neo4j Import Skill

neo4j-contrib/neo4j-import-skill

Import structured data into Neo4j — LOAD CSV, CALL IN TRANSACTIONS, neo4j-admin database import full (offline bulk), apoc.load.csv/json, apoc.periodic.iterate, driver batch writes. Covers method selection, header file format, type coercion, null handling, ON ERROR modes, CONCURRENT TRANSACTIONS, pre-import constraint setup, and post-import validation. Use when importing CSV/JSON/Parquet files, migrating relational data to graph, or bulk-loading large datasets. Does NOT handle unstructured document/PDF/vector chunking pipelines — use neo4j-document-import-skill. Does NOT handle live app write patterns (MERGE/CREATE) — use neo4j-cypher-skill. Does NOT handle neo4j-admin backup/restore/config — use neo4j-cli-tools-skill.

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Install

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

What comes with it

10 008 bytes besides the instruction
README.md
references/data-importer-gui.md
references/driver-batch-write.md
references/post-import-refactoring.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

35 sections, as written by the author

Neo4j Import Skill

When to Use

  • Importing CSV, JSON, or Parquet files into Neo4j
  • Batch-upserting nodes and relationships (UNWIND + CALL IN TRANSACTIONS)
  • Migrating relational data (SQL → graph)
  • Bulk-loading large datasets offline (neo4j-admin import)
  • Choosing between online (Cypher) and offline (admin) import methods
  • Verifying import completeness (counts, constraints, index states)

When NOT to Use

  • Unstructured docs, PDFs, vector chunksneo4j-document-import-skill
  • Live application writes (MERGE/CREATE in app code)neo4j-cypher-skill
  • neo4j-admin backup/restore/configneo4j-cli-tools-skill
  • GDS algorithm projection from existing graphneo4j-gds-skill

Method Decision Table

| Dataset size | DB state | Source | Method |

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

| Any size | Online | CSV (Aura or local) | LOAD CSV + CALL IN TRANSACTIONS |

| < 1M rows | Online | List/API response | UNWIND + CALL IN TRANSACTIONS |

| > 10M rows | Offline (local/self-managed) | CSV / Parquet | neo4j-admin database import full |

| Any size | Online | APOC available | apoc.periodic.iterate + apoc.load.csv |

| Any size | Online | JSON/API | apoc.load.json or driver batching |

| Incremental delta | Offline (Enterprise) | CSV | neo4j-admin database import incremental |

Aura: only https:// URLs — no file:///. Use neo4j-admin import only on self-managed.


Pre-Import Checklist

Run in this exact order — skipping causes hard-to-debug duplicates or missed index usage:

Constraints BEFORE import. Additional indexes AFTER import.

  • Constraints create implicit RANGE indexes used by MERGE during load + enforce uniqueness
  • Additional non-unique indexes (TEXT, RANGE on non-key props, FULLTEXT) created after load — Neo4j populates them async from the committed data; poll populationPercent until 100%
  • Creating extra indexes before import slows every write during load with no benefit
  • Create uniqueness constraints (enables index used by MERGE):
   CREATE CONSTRAINT IF NOT EXISTS FOR (n:Person) REQUIRE n.id IS UNIQUE;
   CREATE CONSTRAINT IF NOT EXISTS FOR (n:Movie)  REQUIRE n.movieId IS UNIQUE;

> Neo4j 2026.02+ (Enterprise/Aura) — PREVIEW: ALTER CURRENT GRAPH TYPE SET { … } can replace all individual constraint statements with a single declarative block. See neo4j-cypher-skill/references/graph-type.md. Use individual CREATE CONSTRAINT on older versions or Community Edition.

  • Verify APOC if using apoc.* procedures:
   RETURN apoc.version();

If fails → APOC not installed. Use plain LOAD CSV instead.

  • Confirm target is PRIMARY (not replica):
   CALL dbms.cluster.role() YIELD role RETURN role;

If role ≠ PRIMARY → stop. Redirect write to PRIMARY endpoint.

  • Count source file rows before import (catch encoding issues early):
   wc -l data/persons.csv    # Linux/macOS
  • Verify UTF-8 encoding — LOAD CSV requires UTF-8. Re-encode if needed:
   file -i persons.csv       # Check encoding
   iconv -f latin1 -t utf-8 persons.csv > persons_utf8.csv

LOAD CSV Patterns

Basic node import with type coercion and null handling

CYPHER 25
LOAD CSV WITH HEADERS FROM 'file:///persons.csv' AS row
CALL (row) {
  MERGE (p:Person {id: row.id})
  ON CREATE SET
    p.name       = row.name,
    p.age        = toIntegerOrNull(row.age),
    p.score      = toFloatOrNull(row.score),
    p.active     = toBoolean(row.active),
    p.born       = CASE WHEN row.born IS NOT NULL AND row.born <> '' THEN date(row.born) ELSE null END,
    p.createdAt  = datetime()
  ON MATCH SET
    p.updatedAt  = datetime()
} IN TRANSACTIONS OF 10000 ROWS
  ON ERROR CONTINUE
  REPORT STATUS AS s
RETURN s.transactionId, s.committed, s.errorMessage

Null/empty-string rules:

  • CSV missing column → null (safe)
  • CSV empty string "" → stored as "" not null — use nullIf(row.x, '') to convert
  • toInteger(null) throws → always use toIntegerOrNull()
  • toFloat(null) throws → always use toFloatOrNull()
  • Neo4j never stores null properties — they are silently dropped on SET

Relationship import (nodes must exist first)

CYPHER 25
LOAD CSV WITH HEADERS FROM 'file:///knows.csv' AS row
CALL (row) {
  MATCH (a:Person {id: row.fromId})
  MATCH (b:Person {id: row.toId})
  MERGE (a)-[:KNOWS {since: toIntegerOrNull(row.year)}]->(b)
} IN TRANSACTIONS OF 5000 ROWS
  ON ERROR CONTINUE
  REPORT STATUS AS s

Always import ALL nodes before ANY relationships — MATCH fails on missing nodes.

Tab-separated or custom delimiter

CYPHER 25
LOAD CSV WITH HEADERS FROM 'file:///data.tsv' AS row FIELDTERMINATOR '\t'
CALL (row) { MERGE (p:Person {id: row.id}) }
IN TRANSACTIONS OF 10000 ROWS ON ERROR CONTINUE

Compressed files (ZIP / gzip — local files only)

LOAD CSV WITH HEADERS FROM 'file:///archive.csv.gz' AS row ...

Cloud storage (Enterprise Edition)

| Scheme | Example |

|---|---|

| AWS S3 | s3://my-bucket/data/persons.csv |

| Google Cloud Storage | gs://my-bucket/persons.csv |

| Azure Blob | azb://account/container/persons.csv |

Useful built-in functions inside LOAD CSV

linenumber()   // current line number — use as fallback ID
file()         // absolute path of file being loaded

CALL IN TRANSACTIONS — Full Reference

Syntax

CALL (row) {
  // write logic
} IN [n CONCURRENT] TRANSACTIONS
  [OF batchSize ROW[S]]
  [ON ERROR {CONTINUE | BREAK | FAIL | RETRY [FOR duration SECONDS] [THEN {CONTINUE|BREAK|FAIL}]}]
  [REPORT STATUS AS statusVar]

ON ERROR modes

| Mode | Behavior | Use when |

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

| ON ERROR FAIL | Default. Rolls back entire outer tx on first error | All-or-nothing strict import |

| ON ERROR CONTINUE | Skips failed batch, continues remaining batches | Resilient bulk load — track errors via REPORT STATUS |

| ON ERROR BREAK | Stops after first failed batch; keeps completed work | Semi-strict: stop early, keep successful batches |

| ON ERROR RETRY | Exponential backoff retry (default 30s) + fallback | Concurrent writes with deadlock risk |

ON ERROR CONTINUE/BREAK → outer transaction succeeds even if inner batches fail.

ON ERROR FAIL → cannot be combined with REPORT STATUS AS.

CONCURRENT TRANSACTIONS (parallel batches)

CYPHER 25
LOAD CSV WITH HEADERS FROM 'file:///large.csv' AS row
CALL (row) {
  MERGE (p:Person {id: row.id}) SET p.name = row.name
} IN 4 CONCURRENT TRANSACTIONS OF 5000 ROWS
  ON ERROR RETRY FOR 30 SECONDS THEN CONTINUE
  REPORT STATUS AS s

Use CONCURRENT for read-heavy MERGE on non-overlapping key spaces. Risk: deadlocks on overlapping writes → combine with ON ERROR RETRY.

REPORT STATUS columns

| Column | Type | Meaning |

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

| s.started | BOOLEAN | Batch transaction started |

| s.committed | BOOLEAN | Batch committed successfully |

| s.transactionId | STRING | Transaction ID |

| s.errorMessage | STRING or null | Error detail if batch failed |

Batch size guidance

| Row count | Recommended batch size | Notes |

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

| < 100k | 10 000 | Default is fine |

| 100k – 1M | 10 000 – 50 000 | Monitor heap; increase if fast |

| 1M – 10M | 50 000 – 100 000 | Enable CONCURRENT if CPUs available |

| > 10M online | 50 000 | Consider neo4j-admin import instead |

| Relationship import | 5 000 | Lower — each batch does 2x MATCH |


neo4j-admin import (Offline Bulk Load)

Fastest method: ~3 min for 31M nodes / 78M rels on SSD. DB must be stopped or non-existent.

Command structure

neo4j-admin database import full \
  --nodes=Person="persons_header.csv,persons.csv" \
  --nodes=Movie="movies_header.csv,movies.csv" \
  --relationships=ACTED_IN="acted_in_header.csv,acted_in.csv" \
  --relationships=DIRECTED="directed_header.csv,directed.csv" \
  --delimiter=, \
  --id-type=STRING \
  --bad-tolerance=0 \
  --threads=$(nproc) \
  --high-parallel-io=on \
  neo4j

Dry run (2026.02+) — validate without writing:

neo4j-admin database import full --dry-run ...

Node header file format

# persons_header.csv
personId:ID,name,born:int,score:float,active:boolean,:LABEL
# persons.csv (data file — no header row)
p001,Alice,1985,9.2,true,Person
p002,Bob,1990,7.1,false,Person

| Field | Meaning |

|---|---|

| :ID | Unique ID for relationship wiring (not stored as property by default) |

| :ID(Group) | Scoped ID space — use when node types share IDs |

| :LABEL | One or more labels; semicolon-separated: Person;Employee |

| prop:int | Typed property; types: int long float double boolean byte short string |

| prop:date | Temporal: date localtime time localdatetime datetime duration |

| prop:int[] | Array — semicolon-separated values in cell: 1;2;3 |

| prop:vector | Float vector (2025.10+) — semicolon-separated coordinates in CSV; imports directly from native Parquet list types [2026.06+] |

Relationship header file format

# acted_in_header.csv
:START_ID(Person),:END_ID(Movie),role,:TYPE
# acted_in.csv
p001,tt0133093,Neo,ACTED_IN
p002,tt0133093,Morpheus,ACTED_IN

:START_ID / :END_ID must reference the same :ID group as the node files.

Key flags

| Flag | Default | Notes |

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

| --delimiter | , | Single char or TAB |

| --vector-delimiter | ; | Separates prop:vector coordinates; must differ from --delimiter and --quote [enforced 2026.06+] |

| --id-type | STRING | STRING \| INTEGER \| ACTUAL |

| --bad-tolerance | -1 (unlimited, changed 2025.12) | Set 0 for strict prod imports |

| --threads | CPU count | Set explicitly on shared hosts |

| --max-off-heap-memory | 90% RAM | Reduce if other services share host |

| --high-parallel-io | off | Set on for SSD/NVMe |

| --format | standard | block for >34B nodes/rels |

| --overwrite-destination | false | Required if DB already exists |

| --dry-run | false | 2026.02+ — validate without writing |

Schema file (--schema) [Enterprise, block format]

Pass a Cypher file with CREATE CONSTRAINT / CREATE INDEX statements; executed automatically after import completes. Constraints are created first (correct order enforced). File paths can be local or remote (s3://, gs://, https://).

neo4j-admin database import full \
  --format=block \
  --schema=schema.cypher \
  --nodes=Person="persons_header.csv,persons.csv" \
  neo4j
// schema.cypher
CREATE CONSTRAINT person_id IF NOT EXISTS FOR (n:Person) REQUIRE n.id IS UNIQUE;
CREATE CONSTRAINT movie_id  IF NOT EXISTS FOR (n:Movie)  REQUIRE n.id IS UNIQUE;
CREATE RANGE INDEX person_email IF NOT EXISTS FOR (n:Person) ON (n.email);
CREATE TEXT  INDEX movie_title  IF NOT EXISTS FOR (n:Movie)  ON (n.title);

For incremental import, DROP CONSTRAINT / DROP INDEX are also supported [2025.02+] — used to remove indexes before the merge phase and recreate them after for faster writes. --schema also accepts graph-type DDL: ALTER CURRENT GRAPH TYPE SET {…} for full [2026.05+], ALTER CURRENT GRAPH TYPE ADD/DROP/ALTER {…} for incremental [2026.06+] — see neo4j-cypher-skill/references/graph-type.md.


Incremental import (Enterprise only)

Three-phase process — use when DB must stay online during import preparation:

# Phase 1: Prepare staging area
neo4j-admin database import incremental --stage=prepare \
  --nodes=Person=persons_header.csv,delta.csv --force neo4j

# Phase 2: Build indexes (DB can be read-only during this phase)
neo4j-admin database import incremental --stage=build neo4j

# Phase 3: Merge into live database (brief write-lock)
neo4j-admin database import incremental --stage=merge neo4j

Requires Enterprise Edition + block store format.


APOC Patterns (when APOC is available)

Verify first: RETURN apoc.version() — if fails, use LOAD CSV or driver instead.

apoc.periodic.iterate — batch-process existing graph data

CALL apoc.periodic.iterate(
  "MATCH (p:Person) WHERE NOT (p)-[:HAS_ACCOUNT]->() RETURN p",
  "CREATE (p)-[:HAS_ACCOUNT]->(a:Account {id: randomUUID()})",
  {batchSize: 10000, parallel: false, retries: 2}
) YIELD batches, total, errorMessages
RETURN batches, total, errorMessages

| Config key | Default | Notes |

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

| batchSize | 10000 | Rows per inner transaction |

| parallel | false | Enable for non-overlapping writes; risk: deadlocks |

| retries | 0 | Retry failed batches N times with 100ms delay |

Prefer CALL IN TRANSACTIONS (native Cypher) over apoc.periodic.iterate for new code — it has REPORT STATUS, CONCURRENT, and RETRY built in without APOC dependency.

apoc.load.csv — load with config options

CALL apoc.load.csv('file:///persons.csv', {
  header: true,
  sep: ',',
  skip: 1,
  limit: 1000000
}) YIELD lineNo, map, list
CALL (map) {
  MERGE (p:Person {id: map.id}) SET p.name = map.name
} IN TRANSACTIONS OF 10000 ROWS ON ERROR CONTINUE

apoc.load.json — load JSON from file or URL

CALL apoc.load.json('https://api.example.com/persons') YIELD value
CALL (value) {
  MERGE (p:Person {id: value.id}) SET p.name = value.name
} IN TRANSACTIONS OF 1000 ROWS ON ERROR CONTINUE

Driver Batch Write Pattern

Use when source is not a file (API responses, DB migrations). Collect into BATCH_SIZE (10 000) lists, call UNWIND $rows AS row MERGE ... per batch. ~10x faster than row-at-a-time. → Python + JS examples


MCP Tool Usage

| Operation | MCP tool | Notes |

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

| SHOW CONSTRAINTS, SHOW INDEXES | read-cypher | Always inspect before import |

| CREATE CONSTRAINT, CREATE INDEX | write-cypher | Gate: show planned constraint, confirm |

| LOAD CSV / CALL IN TRANSACTIONS | write-cypher | Gate: show row count + Cypher, confirm |

| Verify counts | read-cypher | Post-import: MATCH (n:Label) RETURN count(n) |

| Poll index state | read-cypher | Poll until all state = 'ONLINE' |

Write gate — before any bulk write via MCP, show:

  • Query + affected labels
  • Estimated row count from source
  • EXPLAIN plan

Wait for user confirmation. Never auto-execute CALL IN TRANSACTIONS or CREATE CONSTRAINT without confirmation.

Always pass database param if not default: {"code": "...", "database": "neo4j"}.


Common Errors

| Error | Cause | Fix |

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

| Couldn't load the external resource | file:/// path not in Neo4j import dir | Move file to $NEO4J_HOME/import/; check dbms.security.allow_csv_import_from_file_urls=true |

| Cannot merge node using null property value | MERGE key resolved to null | Validate row.id IS NOT NULL before MERGE; add WHERE row.id IS NOT NULL |

| toInteger() called on null | Null column fed to non-null-safe fn | Replace toInteger()toIntegerOrNull(), toFloat()toFloatOrNull() |

| Node N already exists / constraint violation mid-import | Duplicate source IDs | Dedup source CSV; use MERGE not CREATE; add IF NOT EXISTS to constraint |

| Heap overflow / OutOfMemoryError | Batch too large or file too large | Reduce batch size; switch to CALL IN TRANSACTIONS; neo4j-admin for offline |

| Invalid input 'IN': expected...' | PERIODIC COMMIT used | Replace USING PERIODIC COMMITCALL IN TRANSACTIONS — PERIODIC COMMIT removed in Cypher 25 |

| neo4j-admin: Bad input data | Wrong header format or type mismatch | Check :ID, :START_ID, :END_ID present; check typed columns parse correctly |

| neo4j-admin: import fails silently | --bad-tolerance default was unlimited pre-2025.12 | Set --bad-tolerance=0 to surface all errors |

| Index not used during MERGE | Constraint not created before import | Drop data, create constraint, re-import |

| Relationship import missing nodes | Relationships imported before nodes | Always import ALL node files before ANY relationship files |


Post-Import Validation

After import completes — run all:

// Row counts per label
MATCH (n:Person) RETURN count(n) AS persons;
MATCH ()-[:KNOWS]->() RETURN count(*) AS knows_rels;

// After import: create additional non-unique indexes (populated async)
CREATE TEXT INDEX movie_title IF NOT EXISTS FOR (n:Movie) ON (n.title);
CREATE RANGE INDEX person_born IF NOT EXISTS FOR (n:Person) ON (n.born);

// Poll population — wait until populationPercent = 100 before opening to queries
SHOW INDEXES YIELD name, state, populationPercent
WHERE state <> 'ONLINE' OR populationPercent < 100
RETURN name, state, populationPercent
ORDER BY populationPercent;

// Spot check: null keys = import bug
MATCH (p:Person) WHERE p.id IS NULL RETURN count(p) AS missing_id;

Do NOT run production queries until all indexes are ONLINE.


References


Checklist

  • [ ] Uniqueness constraints created before any MERGE-based import
  • [ ] APOC availability verified if using apoc.* procedures
  • [ ] Target confirmed as PRIMARY (not replica)
  • [ ] Source files validated: UTF-8 encoding, expected row count, no BOM
  • [ ] LOAD CSV uses toIntegerOrNull() / toFloatOrNull() — never bare toInteger()/toFloat()
  • [ ] nullIf(row.x, '') applied where empty string ≠ null
  • [ ] CALL IN TRANSACTIONS used (not USING PERIODIC COMMIT)
  • [ ] ON ERROR CONTINUE + REPORT STATUS for production loads
  • [ ] Node import completed before relationship import
  • [ ] neo4j-admin: --bad-tolerance=0 set; --high-parallel-io=on for SSD
  • [ ] Post-import: row counts match source; all indexes ONLINE
  • [ ] Write execution gate applied (MCP): showed query + estimate, got confirmation
  • [ ] Credentials in .env; .env in .gitignore

How to use it

Copy the folder

Take neo4j-contrib/neo4j-import-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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