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Анализ кода с помощью запросов CodeQL

You can run queries against a CodeQL database extracted from a codebase.

GitHub CodeQL is licensed on a per-user basis upon installation. You can use CodeQL only for certain tasks under the license restrictions. For more information, see "About the CodeQL CLI."

If you have a GitHub Advanced Security license, you can use CodeQL for automated analysis, continuous integration, and continuous delivery. For more information, see "About GitHub Advanced Security."

About analyzing databases with the CodeQL CLI

Note: This article describes the features available with the CodeQL CLI 2.12.7 bundle included in the initial release of GitHub Enterprise Server 3.6.

If your site administrator has updated your CodeQL CLI version to a newer release, please see the GitHub Enterprise Cloud version of this article for information on the latest features.

To analyze a codebase, you run queries against a CodeQL database extracted from the code.

CodeQL analyses produce interpreted results that can be displayed as alerts or paths in source code. For information about writing queries to run with database analyze, see "Using custom queries with the CodeQL CLI."

Other query-running commands

Queries run with database analyze have strict metadata requirements. You can also execute queries using the following plumbing-level subcommands:

  • database run-queries, which outputs non-interpreted results in an intermediate binary format called BQRS

  • query run, which will output BQRS files, or print results tables directly to the command line. Viewing results directly in the command line may be useful for iterative query development using the CLI.

Queries run with these commands don't have the same metadata requirements. However, to save human-readable data you have to process each BQRS results file using the bqrs decode plumbing subcommand. Therefore, for most use cases it's easiest to use database analyze to directly generate interpreted results.


Before starting an analysis you must:

The simplest way to run codeql database analyze is using CodeQL packs. You can also run the command using queries from a local checkout of the CodeQL repository, which you may want to do if you want to customize the CodeQL core queries.

Running codeql database analyze

When you run database analyze, it:

  1. Optionally downloads any referenced CodeQL packages that are not available locally.
  2. Executes one or more query files, by running them over a CodeQL database.
  3. Interprets the results, based on certain query metadata, so that alerts can be displayed in the correct location in the source code.
  4. Reports the results of any diagnostic and summary queries to standard output.

You can analyze a database by running the following command:

codeql database analyze <database> --format=<format> --output=<output> <query-specifiers>...

Note: If you analyze more than one CodeQL database for a single commit, you must specify a SARIF category for each set of results generated by this command. When you upload the results to GitHub Enterprise Server, code scanning uses this category to store the results for each language separately. If you forget to do this, each upload overwrites the previous results.

codeql database analyze <database> --format=<format> \
    --sarif-category=<language-specifier> --output=<output> \

You must specify <database>, --format, and --output. You can specify additional options depending on what analysis you want to do.

<database>Specify the path for the directory that contains the CodeQL database to analyze.
<packs,queries>Specify CodeQL packs or queries to run. To run the standard queries used for code scanning, omit this parameter. To see the other query suites included in the CodeQL CLI bundle, look in /<extraction-root>/qlpacks/codeql/<language>-queries/codeql-suites. For information about creating your own query suite, see Creating CodeQL query suites in the documentation for the CodeQL CLI.
--formatSpecify the format for the results file generated during analysis. A number of different formats are supported, including CSV, SARIF, and graph formats. For upload to GitHub this should be: sarifv2.1.0. For more information, see "SARIF support for code scanning."
--outputSpecify where to save the SARIF results file.
--sarif-categoryOptional for single database analysis. Required to define the language when you analyze multiple databases for a single commit in a repository.

Specify a category to include in the SARIF results file for this analysis. A category is used to distinguish multiple analyses for the same tool and commit, but performed on different languages or different parts of the code.
--sarif-add-query-helpUse if you want to include any available markdown-rendered query help for custom queries used in your analysis. Any query help for custom queries included in the SARIF output will be displayed in the code scanning UI if the relevant query generates an alert. For more information, see "Including query help for custom CodeQL queries in SARIF files."
--threadsUse if you want to use more than one thread to run queries. The default value is 1. You can specify more threads to speed up query execution. To set the number of threads to the number of logical processors, specify 0.
--verboseUse to get more detailed information about the analysis process and diagnostic data from the database creation process.

Upgrading databases

For databases that were created by CodeQL CLI v2.3.3 or earlier, you will need to explicitly upgrade the database before you can run an analysis with a newer version of the CodeQL CLI. If this step is necessary, then you will see a message telling you that your database needs to be upgraded when you run database analyze.

For databases that were created by CodeQL CLI v2.3.4 or later, the CLI will implicitly run any required upgrades. Explicitly running the upgrade command is not necessary.

For full details of all the options you can use when analyzing databases, see "database analyze."

Basic example of analyzing a CodeQL database

This example analyzes a CodeQL database stored at /codeql-dbs/example-repo and saves the results as a SARIF file: /temp/example-repo-js.sarif. It uses --sarif-category to include extra information in the SARIF file that identifies the results as JavaScript. This is essential when you have more than one CodeQL database to analyze for a single commit in a repository.

$ codeql database analyze /codeql-dbs/example-repo \
    javascript-code-scanning.qls --sarif-category=javascript \
    --format=sarifv2.1.0 --output=/temp/example-repo-js.sarif

> Running queries.
> Compiling query plan for /codeql-home/codeql/qlpacks/codeql-javascript/AngularJS/DisablingSce.ql.
> Shutting down query evaluator.
> Interpreting results.

Examples of running database analyses

The following examples show how to run database analyze using CodeQL packs, and how to use a local checkout of the CodeQL repository. These examples assume your CodeQL databases have been created in a directory that is a sibling of your local copies of the CodeQL repository.

Running a single query

To run a single query over a CodeQL database for a JavaScript codebase, you could use the following command from the directory containing your database:

codeql database analyze --download <javascript-database> codeql/javascript-queries:Declarations/UnusedVariable.ql --format=csv --output=js-analysis/js-results.csv

This command runs a simple query that finds potential bugs related to unused variables, imports, functions, or classes—it is one of the JavaScript queries included in the CodeQL repository. You could run more than one query by specifying a space-separated list of similar paths.

The analysis generates a CSV file (js-results.csv) in a new directory (js-analysis).

Alternatively, if you have the CodeQL repository checked out, you can execute the same queries by specifying the path to the query directly:

codeql database analyze <javascript-database> ../ql/javascript/ql/src/Declarations/UnusedVariable.ql --format=csv --output=js-analysis/js-results.csv

You can also run your own custom queries with the database analyze command. For more information about preparing your queries to use with the CodeQL CLI, see "Using custom queries with the CodeQL CLI."

Running all queries in a directory

You can run all the queries located in a directory by providing the directory path, rather than listing all the individual query files. Paths are searched recursively, so any queries contained in subfolders will also be executed.


You should avoid specifying the root of a core CodeQL query pack when executing database analyze as it might contain some special queries that aren’t designed to be used with the command. Rather, run the query pack to include the pack’s default queries in the analysis, or run one of the code scanning query suites.

For example, to execute all Python queries contained in the Functions directory in the codeql/python-queries query pack you would run:

codeql database analyze <python-database> codeql/python-queries:Functions --format=sarif-latest --output=python-analysis/python-results.sarif --download

Alternatively, if you have the CodeQL repository checked out, you can execute the same queries by specifying the path to the directory directly:

codeql database analyze <python-database> ../ql/python/ql/src/Functions/ --format=sarif-latest --output=python-analysis/python-results.sarif

When the analysis has finished, a SARIF results file is generated. Specifying --format=sarif-latest ensures that the results are formatted according to the most recent SARIF specification supported by CodeQL.

Running query suites

To run a query suite on a CodeQL database for a C/C++ codebase, you could use the following command from the directory containing your database:

codeql database analyze <cpp-database> codeql/cpp-queries:codeql-suites/cpp-code-scanning.qls --format=sarifv2.1.0 --output=cpp-results.sarif --download

This command downloads the codeql/cpp-queries CodeQL query pack, runs the analysis, and generates a file in the SARIF version 2.1.0 format that is supported by all versions of GitHub. This file can be uploaded to GitHub by executing codeql github upload-results or the code scanning API. For more information, see "Configuring CodeQL CLI in your CI system" or "Code Scanning".

CodeQL query suites are .qls files that use directives to select queries to run based on certain metadata properties. The standard CodeQL packs have metadata that specify the location of the query suites used by code scanning, so the CodeQL CLI knows where to find these suite files automatically, and you don’t have to specify the full path on the command line. For more information, see "Creating CodeQL query suites."

For information about creating custom query suites, see "Creating CodeQL query suites."

Diagnostic and summary information

When you create a CodeQL database, the extractor stores diagnostic data in the database. The code scanning query suites include additional queries to report on this diagnostic data and calculate summary metrics. When the database analyze command completes, the CLI generates the results file and reports any diagnostic and summary data to standard output. If you choose to generate SARIF output, the additional data is also included in the SARIF file.

If the analysis found fewer results for standard queries than you expected, review the results of the diagnostic and summary queries to check whether the CodeQL database is likely to be a good representation of the codebase that you want to analyze.

Integrating a CodeQL pack into a code scanning workflow in GitHub

You can use CodeQL query packs in your code scanning setup. This allows you to select query packs published by various sources and use them to analyze your code. For more information, see "Using CodeQL query packs in the CodeQL action" or "Downloading and using CodeQL query packs in your CI system."

Including query help for custom CodeQL queries in SARIF files

If you use the CodeQL CLI to run code scanning analyses on third party CI/CD systems, you can include the query help for your custom queries in SARIF files generated during an analysis. After uploading the SARIF file to GitHub, the query help is shown in the code scanning UI for any alerts generated by the custom queries.

From CodeQL CLI v2.7.1 onwards, you can include markdown-rendered query help in SARIF files by providing the --sarif-add-query-help option when running codeql database analyze. For more information, see Configuring CodeQL CLI in your CI system.

You can write query help for custom queries directly in a markdown file and save it alongside the corresponding query. Alternatively, for consistency with the standard CodeQL queries, you can write query help in the .qhelp format. Query help written in .qhelp files can’t be included in SARIF files, and they can’t be processed by code scanning so must be converted to markdown before running the analysis. For more information, see "Query help files" and "Testing query help files."


You can save analysis results in a number of different formats, including SARIF and CSV.

The SARIF format is designed to represent the output of a broad range of static analysis tools. For more information, see CodeQL CLI SARIF output.

If you choose to generate results in CSV format, then each line in the output file corresponds to an alert. Each line is a comma-separated list with the following information.

NameName of the query that identified the result.Inefficient regular expression
DescriptionDescription of the query.A regular expression that requires exponential time to match certain inputs can be a performance bottleneck, and may be vulnerable to denial-of-service attacks.
SeveritySeverity of the query.error
MessageAlert message.This part of the regular expression may cause exponential backtracking on strings containing many repetitions of '\\\\'.
PathPath of the file containing the alert./vendor/codemirror/markdown.js
Start lineLine of the file where the code that triggered the alert begins.617
Start columnColumn of the start line that marks the start of the alert code. Not included when equal to 1.32
End lineLine of the file where the code that triggered the alert ends. Not included when the same value as the start line.64
End columnWhere available, the column of the end line that marks the end of the alert code. Otherwise the end line is repeated.617

Results files can be integrated into your own code-review or debugging infrastructure. For example, SARIF file output can be used to highlight alerts in the correct location in your source code using a SARIF viewer plugin for your IDE.

Further reading