Sourcegraph code search is a search engine that allows you to search code in your own repositories as well as across public open source code. It supports three kinds of search patterns: literal patterns, regular expression patterns, and structural patterns. In this article, we’ll explore literal search patterns and how to use them.
Performing a literal search is useful when you know the exact string that you’re looking for in a code base, like a particular function or variable name. You can find all occurrences of the name across multiple repositories by using your query as a literal pattern. It’s also useful for finding textual content — like error messages or comments — in the code.
By default, all search queries on Sourcegraph are treated as literal patterns. We’ll discuss a few use cases to find useful results with Sourcegraph.
As a developer, there are many times you may need to learn a new codebase: you may need to understand how best to use a new package, may need to be onboarded into an existing project, or may want to learn best practices from tried and tested software. A productive way to become familiar with a codebase is through selecting a function and understanding how it’s used throughout the code and in what contexts.
For example, if you’re learning how the Linux kernel works, one of the topics that you may want to understand is how Linux uses linked lists. Because linked lists are used throughout the Linux kernel and in driver code, they are a foundational starting point to familiarize yourself with the codebase.
The linked list data structure in Linux is called
list_head. We can find all instances of the
list_head structure by searching for it directly:
As you review the results, you may notice that there are some common functions that are frequently used together with linked lists. One of these functions is
list_add_tail. To explore further and find all instances of
list_add_tail, we can start a new search for that specific function:
Literal search patterns can be used to find more than just functions or variables. They can also be used to find longer pieces of text, like error messages, as we’ll explore in the next section.
Literal search can help you find where a particular piece of text occurs within code. For example, if you’re seeing an error message while debugging, it can be helpful to find where that message is defined in the code to get a better idea of what is causing it. You can search for an exact match by copying the error into your search.
Let’s try an example. React is a framework used by many web apps, and its error messages are sometimes hard to debug. When a React component throws an error, it produces an error message like,
React caught an error thrown by Component. When you get an error message like that, it isn’t always clear what is going on. To learn more about the source of the error, you can search for the error message itself:
By finding where an error message is defined, you can start to understand what conditions will cause this error. In this case, it happens when React catches an error that happened during the rendering phase in one of your components.
This kind of search also gives you an understanding of the inner workings of the codebase, and that can be really helpful to get a better mental model of how it works.
By default, when searching for literal patterns in Sourcegraph, the entire query will be searched, even if the pattern consists of multiple worlds. You should not put your query in quotes: we’ll go into more detail about this now.
Unlike a web search engine, if you search for two or more words on Sourcegraph, like
const counter, then you’ll only get results for
const immediately followed by
counter, as in the example below.
Returning to our example in the Linux kernel, we can narrow down our search for
list_head to only the cases where it’s used as a simple structure (
struct), by searching specifically for the
struct list_head pattern:
If you want to find all instances of those two words appearing in the same file but not necessarily in sequence, then you can use the
and operator, or you can switch to regular expression mode.
To use the
and operator, add it to your search. The following query will find occurrences of
list_add_tail when they are present anywhere in the same file.
If you try one of these examples with quotes around the search query, like
"const counter", you’ll notice that you get no results. This is because the quote characters are interpreted literally, so Sourcegraph will search for textual data that includes those quote characters.
There are cases where searching for quote characters is useful. We’ll explore that in the next section.
Because quote characters are treated like any other character when you’re in literal pattern mode, you can search for quoted strings by including the quotes in your search.
For example, the quoted string
"ENOENT" represents the error when a file is not found in Linux, and it’s found in many codebases:
By including the quotes in the search query, you can compare this search with the same string, but without quotes. You’ll receive other results, where the string isn’t necessarily in quotes.
We’ve explored how to use Sourcegraph to search for literal patterns like function names, variables names, error messages, and strings. You can learn more about Sourcegraph search syntax in the documentation.
Literal search patterns are a useful starting point, but often you need to search for patterns in your code that require more flexibility. Sourcegraph offers two other types of patterns: regular expressions and structural search.
To go beyond literal patterns, you can use regular expressions or structural search patterns.