Skip to main content
我们经常发布文档更新,此页面的翻译可能仍在进行中。 有关最新信息,请访问英语文档

dataset measure

[Plumbing] Collect statistics about the relations in a particular dataset.

GitHub CodeQL 在安装后按用户授权。 根据许可证限制,只能将 CodeQL 用于某些任务。 有关详细信息,请参阅“关于 CodeQL CLI”。

如果你有 GitHub Enterprise 帐户和GitHub Advanced Security 许可证,则可以使用 CodeQL 进行自动分析、持续集成和持续交付。 可以通过联系销售团队来创建企业帐户。 有关详细信息,请参阅“关于 GitHub 高级安全性”。

This content describes the most recent release of the CodeQL CLI. For more information about this release, see https://github.com/github/codeql-cli-binaries/releases.

To see details of the options available for this command in an earlier release, run the command with the --help option in your terminal.

Synopsis

Shell
codeql dataset measure --output=<file> [--threads=<num>] <options>... -- <dataset>

Description

[Plumbing] Collect statistics about the relations in a particular dataset.

This command is typically only used when developing a CodeQL extractor, after a change that affects the database schema and which therefore needs to have an accompanying change to the statistics used by the query optimizer.

Primary options

<dataset>

[Mandatory] Path to the raw QL dataset to measure.

-o, --output=<file>

[Mandatory] The output file to which statistics should be written, typically with a '.dbscheme.stats' extension.

-j, --threads=<num>

The number of concurrent threads to use.

Defaults to 1. You can pass 0 to use one thread per core on the machine, or -N to leave N cores unused (except still use at least one thread).

Common options

-h, --help

Show this help text.

-J=<opt>

[Advanced] Give option to the JVM running the command.

(Beware that options containing spaces will not be handled correctly.)

-v, --verbose

Incrementally increase the number of progress messages printed.

-q, --quiet

Incrementally decrease the number of progress messages printed.

--verbosity=<level>

[Advanced] Explicitly set the verbosity level to one of errors, warnings, progress, progress+, progress++, progress+++. Overrides -v and -q.

--logdir=<dir>

[Advanced] Write detailed logs to one or more files in the given directory, with generated names that include timestamps and the name of the running subcommand.

(To write a log file with a name you have full control over, instead give --log-to-stderr and redirect stderr as desired.)