clickhouse-js-node-coding

Reference: https://clickhouse.com/docs/integrations/javascript

npx skills add https://github.com/clickhouse/clickhouse-js --skill clickhouse-js-node-coding

ClickHouse Node.js Client — Coding

Reference: https://clickhouse.com/docs/integrations/javascript

⚠️ Node.js runtime only. This skill covers the @clickhouse/client package running in a Node.js runtime exclusively — including Next.js Node runtime API routes, React Server Components, Server Actions, and standard Node.js processes. Do not apply this skill to browser client components, Web Workers, Next.js Edge runtime, Cloudflare Workers, or any usage of @clickhouse/client-web. For browser/edge environments, the correct package is @clickhouse/client-web.


How to Use This Skill

  1. Match the user's intent to a row in the Task Index below and read the corresponding reference file before writing code. After reading it, scan any Answer checklist in that reference and make sure the final answer covers each relevant item; those checklists capture details users usually need but are easy to omit in short answers.
  2. Always import from @clickhouse/client (never @clickhouse/client-web) and create a client with createClient({ url }) or rely on supported defaults when appropriate. Close it with await client.close() preferably when it's no longer needed or during graceful shutdown for global resources.
  3. Prefer JSONEachRow for typical row inserts/selects unless the user has already chosen another format or is streaming raw bytes (CSV / TSV / Parquet — see examples/node/performance/). Note on clickhouse_settings: settings passed to createClient are defaults for every request; they can be overridden per-call by passing clickhouse_settings directly to insert(), query(), or command(). Always mention this when the user configures settings at the client level.
  4. Always use query_params for user-supplied values — never template- literal-interpolate them into SQL. See reference/query-parameters.md. When answering a parameter-binding question, your response must explicitly name template-literal interpolation as a "SQL injection risk" — even when the user only asked about syntax and did not raise security. The literal phrase "SQL injection" needs to appear; this is the most common mistake from PostgreSQL/MySQL users and the security framing is part of the correct answer, not an optional aside.
  5. Pick the right method for the job:
    • client.insert() — write rows.
    • client.query() + resultSet.json() / .text() / .stream() — read rows that return data.
    • client.command() — DDL and other statements that don't return rows (CREATE, DROP, TRUNCATE, ALTER, SET in a session, etc.).
    • client.exec() — when you need the raw response stream of an arbitrary statement (rare in coding scenarios).
    • client.ping() — health check; returns { success, error? }, never throws on connection failure.
  6. Note version constraints when relevant. Examples:
    • pathname config option: client >= 1.0.0.
    • BigInt values in query_params: client >= 1.15.0.
    • TupleParam and JS Map in query_params: client >= 1.9.0.
    • Configurable json.parse / json.stringify: client >= 1.14.0.
    • Time / Time64 data types: ClickHouse server >= 25.6.
    • QBit data type: ClickHouse server >= 25.10 (GA on 26.x).
    • Dynamic / Variant / new JSON types: ClickHouse server >= 24.1 / 24.5 / 24.8 (no longer experimental since 25.3).

Task Index

Identify the user's task and read the matching reference file.

TaskTriggers / symptomsReference file
Configure / connect the clientBuilding a createClient call, URL parameters, clickhouse_settings, default format, custom HTTP headersreference/client-configuration.md
Compress requests / responsescompression, gzip vs zstd, { codec } option shape, Node version requirements, web limitationsreference/compression.md
Ping the serverHealth checks, readiness probes, "is ClickHouse up?"reference/ping.md
Choose an insert format"Which format should I use to insert?", JSON vs raw, JSONEachRow vs JSON vs JSONObjectEachRowreference/insert-formats.md
Insert into a subset of columns / different databaseinsert({ columns }), excluding columns, ephemeral columns, cross-DB insertsreference/insert-columns.md
Insert values, expressions, dates, decimalsINSERT … VALUES with SQL functions, Date/DateTime from JS, Decimal precision, INSERT … SELECT; inserting a UUID into a UInt128 column is tricky — use when the user is writing code that stores a UUID as UInt128reference/insert-values.md
Async inserts (server-side batching)async_insert=1, fire-and-forget vs wait-for-ackreference/async-insert.md
Select and parse resultsJSONEachRow reads, JSON with metadata, picking a select formatreference/select-formats.md
Parameterize queriesBinding values, special characters / escaping, "SQL injection?", {name: Type} syntaxreference/query-parameters.md
Sessions & temporary tablessession_id, CREATE TEMPORARY TABLE, per-session SET commandsreference/sessions.md
Modern data typesDynamic, Variant, JSON (object), Time, Time64, QBit (vector search)reference/data-types.md
Custom JSON parse/stringifyPlug in JSONBig / safe-stable-stringify / a BigInt-aware serializerreference/custom-json.md

Conventions used in answers

  • Always show import { createClient } from '@clickhouse/client' (Node, never Web).
  • Always await client.close() at the end of self-contained snippets; in long-running services, close on graceful shutdown.
  • For inserts, prefer format: 'JSONEachRow' and values: [...] unless the user's scenario requires otherwise.
  • For selects, prefer await (await client.query({...})).json<RowType>() for small / medium result sets; for bigger results suggest streaming.
  • When showing parameter binding, use ClickHouse's native {name: Type} syntax — never $1, ?, or :name.
  • For DDL inside a cluster or behind a load balancer, set clickhouse_settings: { wait_end_of_query: 1 } on the command() call so the server only acknowledges after the change is applied. See https://clickhouse.com/docs/en/interfaces/http/#response-buffering.

Out of scope

This skill covers day-to-day coding against @clickhouse/client (Node). The following topics are intentionally not covered here:

  • Errors, hangs, type mismatches, proxy pathname surprises, log silence, socket hang-ups, ECONNRESET → use the clickhouse-js-node-troubleshooting skill.
  • Streaming, Parquet, file streams, server-side bulk moves, progress streaming, async-insert throughput tuning — see examples/node/performance/.
  • TLS, RBAC / read-only users, deeper SQL-injection guidance — see examples/node/security/.
  • CREATE TABLE patterns, deployment-shaped connection strings, replication / sharding choices — see examples/node/schema-and-deployments/.
  • Browser, Web Worker, Next.js Edge, Cloudflare Workers — use @clickhouse/client-web and see examples/web/.

Still Stuck?

More skills from clickhouse

chdb-sql
clickhouse
Run ClickHouse SQL directly in Python — no server needed. Query local files, remote databases, and cloud storage with full ClickHouse SQL power.
official
chdb-datastore
clickhouse
DataStore is a lazy, ClickHouse-backed pandas replacement . Your existing pandas code works unchanged — but operations compile to optimized SQL and execute only when results are needed (e.g., print() , len() , iteration).
official
clickhouse-architecture-advisor
clickhouse
MUST USE when designing ClickHouse architectures, selecting between ingestion or modeling patterns, or translating best practices into workload-specific system…
official
clickhouse-best-practices
clickhouse
28 ClickHouse best practices rules organized by schema design, query optimization, and data ingestion strategy. Covers three critical areas: primary key and data type selection (immutable design decisions), JOIN and query optimization, and insert batching with mutation avoidance Includes 28 rules prioritized by impact, with schema design and query optimization rules marked CRITICAL due to ClickHouse's columnar storage and sparse index mechanics Provides structured review procedures for...
official
clickhousectl-cloud-deploy
clickhouse
Use when a user wants to deploy ClickHouse to the cloud, go to production, use ClickHouse Cloud, host a managed ClickHouse service, or migrate from a local…
official
clickhousectl-local-dev
clickhouse
Use when a user wants to build an application with ClickHouse, set up a local ClickHouse development environment, install ClickHouse, create a local server,…
official
setup
clickhouse
Guides users through setting up the ClickHouse MCP server connection bundled with this plugin. Use when the user first installs the plugin or has trouble…
official
clickhouse-js-node-troubleshooting
clickhouse
Reference: https://clickhouse.com/docs/integrations/javascript
official