使用 Homebrew, MacPorts, Nix, scoop 安装 trdsql

项目链接

• 主页
• 仓库

命令和别名

• trdsql

项目历史

Noboru Saito developed trdsql as a practical bridge between shell data files and relational query engines. The official documentation explains its internal processing as option and SQL interpretation, importing file names from SQL commands into a database, executing SQL, and exporting the result in a requested output format.

The project evolved from a text-query utility into a broader data conversion and analysis tool. The README documents direct SQL queries, file conversion mode, multiple input formats, multiple output formats, NULL handling, query files, compressed input and output, table-name shortcuts, joins, and selectable SQLite, PostgreSQL, or MySQL engines.

The author's release-history pages show a maturing project. Version 0.13.0, posted November 12, 2023, introduced a shorter `-t` table-name syntax useful for simple format conversion and addressed macOS arm64 binary builds. Version 1.0.0, posted April 8, 2024, was marked stable by the author and followed improvements such as multiple SQL execution added in v0.20.0.

采用历史

trdsql's adoption comes from the command-line data niche: users who have CSV, JSON, YAML, logs, or mixed tabular files but want real SQL operations without first creating a database schema. The official README documents binary downloads for Linux, Windows, and macOS, Docker usage, Go source builds, Homebrew, MacPorts, and FreeBSD packages.

The batch input records broader package-manager coverage, including Homebrew, MacPorts, Nix, and Scoop. That package spread matches the tool's cross-platform promise: a single CLI for shell users who want SQL-shaped inspection and conversion across operating systems.

使用方式

In day-to-day use, trdsql runs SQL directly against files, reads from standard input, converts between formats with output flags, handles CSV headers and delimiters, parses JSON with jq expressions, and emits CSV, TSV, JSON, JSON Lines, LTSV, YAML, Markdown, ASCII tables, raw output, and other formats.

Its docs emphasize the tradeoff behind its power: trdsql imports data into an RDBMS before executing SQL, so it is not a streaming one-line-at-a-time filter. In exchange, users get real SQL semantics, joins, aggregation, window functions, configurable database engines, and format conversion in one package.

为什么软件包爱好者会关心

For package nerds, trdsql sits in the same toolbox as `jq`, `xsv`, `mlr`, `q`, and `textql`, but it occupies the SQL-first corner. It is attractive when a user already thinks in SELECT, JOIN, GROUP BY, and database engine behavior but wants package-manager installation and shell-pipeline ergonomics.

The tool also shows the modern CLI packaging pattern: Go binary releases, Docker image, Homebrew and MacPorts formulas, Scoop availability, FreeBSD package notes, and source builds all coexist in the official installation docs.

时间线

• 2023: v0.13.0 release notes document `-t` table-name shorthand, macOS arm64 binary fixes, and build-environment changes.
• 2024: Official documentation site publishes trdsql overview, internals, configuration, SQL-engine, and format-conversion pages.
• 2024: v1.0.0 release notes state that the author considered trdsql stable enough for a 1.0.0 release.

Related projects

• The README explicitly compares trdsql with `q` and `textql`.
• Related database engines include SQLite, PostgreSQL, and MySQL, which trdsql can use as execution backends.
• Related shell data tools include `jq` for JSON selection and other table/file processors used in pipelines.

来源

• Batch input field: source_facts.package-manager
• Official README: https://github.com/noborus/trdsql#readme
• Official docs site: https://noborus.github.io/trdsql/
• Official internals page: https://noborus.github.io/trdsql/11_summary/index.html
• Official v0.13.0 release-history page: https://noborus.github.io/trdsql_history/trdsql_0130/index.html
• Official v1.0.0 release-history page: https://noborus.github.io/trdsql_history/trdsql_1000/index.html