clickhouse-js-node-rowbinary
Generate TypeScript/JavaScript code that reads/decodes AND writes/encodes ClickHouse RowBinary streams for the ClickHouse HTTP server. Use this skill whenever a user wants to parse or produce `RowBinary`, `RowBinaryWithNames`, or `RowBinaryWithNamesAndTypes`. Node.js only, doesn't cover browsers.
适合你,如果需要用Node.js读写ClickHouse的RowBinary格式。
npx oh-my-skill add clickhouse/agent-skills/clickhouse-js-node-rowbinarycurl -fsSL https://oh-my-skill.com/install.sh | bash -s -- clickhouse/agent-skills/clickhouse-js-node-rowbinarynpx oh-my-skill verify clickhouse/agent-skills/clickhouse-js-node-rowbinary怎么用
商店整理自技能原文 · 版本 6e5458d · 表述以原文为准当你想解析或生成 ClickHouse 的 RowBinary 数据时,Claude 会生成 TypeScript/JavaScript 代码来读/解码或写/编码二进制流。
当你提到要解析或生成 RowBinary、RowBinaryWithNames 或 RowBinaryWithNamesAndTypes 格式时触发。仅限 Node.js 环境。
技能原文 SKILL.md
ClickHouse JS RowBinary Codec Generator for Node.js
This skill generates both directions of the wire format: readers (decode bytes → values) and writers (encode values → bytes, the mirror). A given task normally needs only one side. This file is the shared entry point — the format gate plus the principles common to both directions; the per-direction decisions, guidance, and the per-type reference tables live in two sibling files.
Pick your side — read only the one you need:
- Decoding a
RowBinary*response from ClickHouse into JS values → [reader.md](reader.md). Streaming vs whole-buffer, row-objects vs columnar, fixed vs runtime schema, and the per-type reader reference. - Encoding JS values into a
RowBinarypayload to send to ClickHouse → [writer.md](writer.md). TheSink/writeXbuilding blocks,writeRowsstreaming, and the per-type writer reference.
The per-type code is real, split by direction under src/readers/ and src/writers/.
First: is RowBinary even the right format?
RowBinary exists for throughput, but it is not automatically the fastest path — match the format to the shape of the data before committing to a bespoke parser.
Prefer a JSON* format (e.g. JSONEachRow) when the result is mostly strings / JSON-like values that you consume wholesale — randomly accessing essentially every field, running string/regexp methods on them, treating values as text. V8's native JSON.parse is heavily optimized C++ and builds JS strings and objects faster than a JS-level RowBinary decoder can; pair it with HTTP response compression (gzip / zstd, which crushes JSON's repetitive keys) and the wire cost shrinks too.
RowBinary clearly wins when the result is dominated by:
- Wide numerics —
Int128/Int256/UInt128/UInt256,Decimal128/Decimal256. - Binary / fixed-width blobs —
IPv4,IPv6,UUID,FixedString. - High-volume fixed-width numeric columns generally, where each value is a single
DataViewread.
Prefer the Native format when columnar load and client-side analytics are the main goal (fold/scan/filter columns, feed typed arrays to a Worker or WASM). Native is column-major, so it loads straight into one typed array per column with no transpose.
For help choosing and consuming a JSON* format (or CSV / TSV) instead, use the clickhouse-js-node-coding skill.
Core guidance (both directions)
These principles apply whether you are generating a reader or a writer; the side-specific operational guidance is in [reader.md](reader.md) / [writer.md](writer.md).
- Little-endian only. RowBinary is little-endian; target x86/ARM. Read and write every multi-byte number with
DataViewaccessors passing a literaltruefor thelittleEndianflag.
- Correct first, then optimize. First emit a correct codec built from the plain per-type API. Only after it's correct (and tested) specialize it. Don't bake performance assumptions in before correctness.
- Monomorphize generic/composite types. Emit specialized, inlined code per type combination instead of passing functions as arguments where the type is known ahead of time.
- Inline the leaf ops. The per-type
readX/writeXfunctions are the correct, composable reference; the generated codec should INLINE their bodies, not call them, so the row loop is straight-line with no per-field indirection (and so the fixed-width coalescing can fold the offset arithmetic together).
- Annotate the type per column. Inlining erases the type structure, so put a short comment above each column's encode/decode block naming the ClickHouse type it handles.
- Shared scratch is not reentrant. Some hot methods reuse a module-level scratch buffer as a write-then-read pair — correct only because the access is fully synchronous. An
async/yieldboundary between populating and reading it corrupts the value.
- TypeScript by default. Generate TypeScript code and helpers unless the user explicitly asks for plain JavaScript.
Worked examples
Six end-to-end examples with real speedup are catalogued in [EXAMPLES.md](EXAMPLES.md).
Out of scope
- JSON / CSV / TSV / Parquet parsing → use
clickhouse-js-node-coding. - Connection errors, hangs, type mismatches → use
clickhouse-js-node-troubleshooting. - Browser / Web Worker / Edge →
@clickhouse/client-web.