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.
npx skills add https://github.com/neo4j-contrib/neo4j-skills --skill neo4j-import-skill
neo4j-document-import-skillneo4j-cypher-skillneo4j-cli-tools-skillneo4j-gds-skill| 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.
Run in this exact order — skipping causes hard-to-debug duplicates or missed index usage:
Constraints BEFORE import. Additional indexes AFTER import.
populationPercent until 100% 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.
RETURN apoc.version();
If fails → APOC not installed. Use plain LOAD CSV instead.
CALL dbms.cluster.role() YIELD role RETURN role;
If role ≠ PRIMARY → stop. Redirect write to PRIMARY endpoint.
wc -l data/persons.csv # Linux/macOS
file -i persons.csv # Check encoding
iconv -f latin1 -t utf-8 persons.csv > persons_utf8.csv
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:
null (safe)"" → stored as "" not null — use nullIf(row.x, '') to converttoInteger(null) throws → always use toIntegerOrNull()toFloat(null) throws → always use toFloatOrNull()null properties — they are silently dropped on SETCYPHER 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.
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
LOAD CSV WITH HEADERS FROM 'file:///archive.csv.gz' AS row ...
| 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 |
linenumber() // current line number — use as fallback ID
file() // absolute path of file being loaded
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]
| 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.
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.
| 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 |
| 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 |
Fastest method: ~3 min for 31M nodes / 78M rels on SSD. DB must be stopped or non-existent.
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 ...
# 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+] |
# 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.
| 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 |
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.
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.
Verify first: RETURN apoc.version() — if fails, use LOAD CSV or driver instead.
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.
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
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
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
| 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:
EXPLAIN planWait for user confirmation. Never auto-execute CALL IN TRANSACTIONS or CREATE CONSTRAINT without confirmation.
Always pass database param if not default: {"code": "...", "database": "neo4j"}.
| 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 COMMIT → CALL 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 |
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.
apoc.* procedurestoIntegerOrNull() / toFloatOrNull() — never bare toInteger()/toFloat()nullIf(row.x, '') applied where empty string ≠ nullCALL IN TRANSACTIONS used (not USING PERIODIC COMMIT)ON ERROR CONTINUE + REPORT STATUS for production loads--bad-tolerance=0 set; --high-parallel-io=on for SSD.env; .env in .gitignoreComprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions \"deck,\" \"slides,\" \"presentation,\" or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.
Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.
Take neo4j-contrib/neo4j-import-skill from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.