LLVM Code Coverage Mapping Format — LLVM 21.0.0git documentation (original) (raw)

• Introduction
• High Level Overview
• Advanced Concepts
  • Mapping Region
    * Source Range:
    * File ID:
    * Counter:
• LLVM IR Representation
  • Coverage Mapping Header:
  • Function record:
    * Dissecting the sample:
• Encoding
  • Types
    * LEB128
    * Strings
  • File ID Mapping
  • Counter
    * Tag:
    * Data:
  • Counter Expressions
  • Mapping Regions
    * Sub-Array of Regions
    * Mapping Region
    * Header
    * Counter:
    * Pseudo-Counter:
    * Source Range
• Testing Format
  • Magic Number and Version
  • Profile Names
  • Coverage Mapping
  • Coverage Records

Introduction¶

LLVM’s code coverage mapping format is used to provide code coverage analysis using LLVM’s and Clang’s instrumentation based profiling (Clang’s -fprofile-instr-generate option).

This document is aimed at those who would like to know how LLVM’s code coverage mapping works under the hood. A prior knowledge of how Clang’s profile guided optimization works is useful, but not required. For those interested in using LLVM to provide code coverage analysis for their own programs, see the Clang documentation https://clang.llvm.org/docs/SourceBasedCodeCoverage.html.

We start by briefly describing LLVM’s code coverage mapping format and the way that Clang and LLVM’s code coverage tool work with this format. After the basics are down, more advanced features of the coverage mapping format are discussed - such as the data structures, LLVM IR representation and the binary encoding.

High Level Overview¶

LLVM’s code coverage mapping format is designed to be a self contained data format that can be embedded into the LLVM IR and into object files. It’s described in this document as a mapping format because its goal is to store the data that is required for a code coverage tool to map between the specific source ranges in a file and the execution counts obtained after running the instrumented version of the program.

The mapping data is used in two places in the code coverage process:

1. When clang compiles a source file with -fcoverage-mapping, it generates the mapping information that describes the mapping between the source ranges and the profiling instrumentation counters. This information gets embedded into the LLVM IR and conveniently ends up in the final executable file when the program is linked.
2. It is also used by llvm-cov - the mapping information is extracted from an object file and is used to associate the execution counts (the values of the profile instrumentation counters), and the source ranges in a file. After that, the tool is able to generate various code coverage reports for the program.

The coverage mapping format aims to be a “universal format” that would be suitable for usage by any frontend, and not just by Clang. It also aims to provide the frontend the possibility of generating the minimal coverage mapping data in order to reduce the size of the IR and object files - for example, instead of emitting mapping information for each statement in a function, the frontend is allowed to group the statements with the same execution count into regions of code, and emit the mapping information only for those regions.

Advanced Concepts¶

The remainder of this guide is meant to give you insight into the way the coverage mapping format works.

The coverage mapping format operates on a per-function level as the profile instrumentation counters are associated with a specific function. For each function that requires code coverage, the frontend has to create coverage mapping data that can map between the source code ranges and the profile instrumentation counters for that function.

Mapping Region¶

The function’s coverage mapping data contains an array of mapping regions. A mapping region stores the source code range that is covered by this region, the file id, the coverage mapping counter and the region’s kind. There are several kinds of mapping regions:

• Code regions associate portions of source code and coverage mapping counters. They make up the majority of the mapping regions. They are used by the code coverage tool to compute the execution counts for lines, highlight the regions of code that were never executed, and to obtain the various code coverage statistics for a function. For example:
  int main(int argc, const char *argv[]) { // Code Region from 1:40 to 9:2

  if (argc > 1) { // Code Region from 3:17 to 5:4
  printf("%s\n", argv[1]);
  } else { // Code Region from 5:10 to 7:4
  printf("\n");
  }
  return 0;

}

• Skipped regions are used to represent source ranges that were skipped by Clang’s preprocessor. They don’t associate withcoverage mapping counters, as the frontend knows that they are never executed. They are used by the code coverage tool to mark the skipped lines inside a function as non-code lines that don’t have execution counts. For example:
  int main() { // Code Region from 1:12 to 6:2

#ifdef DEBUG // Skipped Region from 2:1 to 4:2
printf("Hello world");
#endif
return 0;
}

• Expansion regions are used to represent Clang’s macro expansions. They have an additional property - expanded file id. This property can be used by the code coverage tool to find the mapping regions that are created as a result of this macro expansion, by checking if their file id matches the expanded file id. They don’t associate with coverage mapping counters, as the code coverage tool can determine the execution count for this region by looking up the execution count of the first region with a corresponding file id. For example:
  int func(int x) {
  #define MAX(x,y) ((x) > (y)? (x) : (y))
  return MAX(x, 42); // Expansion Region from 3:10 to 3:13
  }
• Branch regions associate instrumentable branch conditions in the source code with a coverage mapping counter to track how many times an individual condition evaluated to ‘true’ and another coverage mapping counter to track how many times that condition evaluated to false. Instrumentable branch conditions may comprise larger boolean expressions using boolean logical operators. The ‘true’ and ‘false’ cases reflect unique branch paths that can be traced back to the source code. For example:
  int func(int x, int y) {
  if ((x > 1) || (y > 3)) { // Branch Region from 3:6 to 3:12
  // Branch Region from 3:17 to 3:23
  printf("%d\n", x);
  } else {
  printf("\n");
  }
  return 0;
  }
• Decision regions associate multiple branch regions with a boolean expression in the source code. This information also includes the number of bitmap bits needed to represent the expression’s executed test vectors as well as the total number of instrumentable branch conditions that comprise the expression. Decision regions are used to visualize Modified Condition/Decision Coverage (MC/DC) in llvm-cov for each boolean expression. When decision regions are used, control flow IDs are assigned to each associated branch region. One ID represents the current branch condition, and two additional IDs represent the next branch condition in the control flow given a true or false evaluation, respectively. This allows_llvm-cov_ to reconstruct the control flow around the conditions in order to comprehend the full list of potential executable test vectors.

Source Range:¶

The source range record contains the starting and ending location of a certain mapping region. Both locations include the line and the column numbers.

File ID:¶

The file id an integer value that tells us in which source file or macro expansion is this region located. It enables Clang to produce mapping information for the code defined inside macros, like this example demonstrates:

void func(const char *str) { // Code Region from 1:28 to 6:2 with file id 0 #define PUT printf("%s\n", str) // 2 Code Regions from 2:15 to 2:34 with file ids 1 and 2 if(*str)
PUT; // Expansion Region from 4:5 to 4:8 with file id 0 that expands a macro with file id 1 PUT; // Expansion Region from 5:3 to 5:6 with file id 0 that expands a macro with file id 2 }

Counter:¶

A coverage mapping counter can represent a reference to the profile instrumentation counter. The execution count for a region with such counter is determined by looking up the value of the corresponding profile instrumentation counter.

It can also represent a binary arithmetical expression that operates on coverage mapping counters or other expressions. The execution count for a region with an expression counter is determined by evaluating the expression’s arguments and then adding them together or subtracting them from one another. In the example below, a subtraction expression is used to compute the execution count for the compound statement that follows the else keyword:

int main(int argc, const char *argv[]) { // Region's counter is a reference to the profile counter #0

if (argc > 1) { // Region's counter is a reference to the profile counter #1 printf("%s\n", argv[1]);
} else { // Region's counter is an expression (reference to the profile counter #0 - reference to the profile counter #1) printf("\n");
}
return 0;
}

Finally, a coverage mapping counter can also represent an execution count of of zero. The zero counter is used to provide coverage mapping for unreachable statements and expressions, like in the example below:

int main() {
return 0;
printf("Hello world!\n"); // Unreachable region's counter is zero }

The zero counters allow the code coverage tool to display proper line execution counts for the unreachable lines and highlight the unreachable code. Without them, the tool would think that those lines and regions were still executed, as it doesn’t possess the frontend’s knowledge.

Note that branch regions are created to track branch conditions in the source code and refer to two coverage mapping counters, one to track the number of times the branch condition evaluated to “true”, and one to track the number of times the branch condition evaluated to “false”.

LLVM IR Representation¶

The coverage mapping data is stored in the LLVM IR using a global constant structure variable called __llvm_coverage_mapping with the _IPSK_covmap_section specifier (i.e. “.lcovmap$M” on Windows and “__llvm_covmap” elsewhere).

For example, let’s consider a C file and how it gets compiled to LLVM:

int foo() { return 42; } int bar() { return 13; }

The coverage mapping variable generated by Clang has 2 fields:

• Coverage mapping header.
• An optionally compressed list of filenames present in the translation unit.

The variable has 8-byte alignment because ld64 cannot always pack symbols from different object files tightly (the word-level alignment assumption is baked in too deeply).

@__llvm_coverage_mapping = internal constant { { i32, i32, i32, i32 }, [32 x i8] } { { i32, i32, i32, i32 } ; Coverage map header { i32 0, ; Always 0. In prior versions, the number of affixed function records i32 32, ; The length of the string that contains the encoded translation unit filenames i32 0, ; Always 0. In prior versions, the length of the affixed string that contains the encoded coverage mapping data i32 3, ; Coverage mapping format version }, [32 x i8] c"..." ; Encoded data (dissected later) }, section "__llvm_covmap", align 8

The current version of the format is version 6.

There is one difference between versions 6 and 5:

• The first entry in the filename list is the compilation directory. When the filename is relative, the compilation directory is combined with the relative path to get an absolute path. This can reduce size by omitting the duplicate prefix in filenames.

There is one difference between versions 5 and 4:

• The notion of branch region has been introduced along with a corresponding region kind. Branch regions encode two counters, one to track how many times a “true” branch condition is taken, and one to track how many times a “false” branch condition is taken.

There are two differences between versions 4 and 3:

• Function records are now named symbols, and are marked linkonce_odr. This allows linkers to merge duplicate function records. Merging of duplicate_dummy_ records (emitted for functions included-but-not-used in a translation unit) reduces size bloat in the coverage mapping data. As part of this change, region mapping information for a function is now included within the function record, instead of being affixed to the coverage header.
• The filename list for a translation unit may optionally be zlib-compressed.

The only difference between versions 3 and 2 is that a special encoding for column end locations was introduced to indicate gap regions.

In version 1, the function record for foo was defined as follows:

{ i8*, i32, i32, i64 } { i8* getelementptr inbounds ([3 x i8]* @__profn_foo, i32 0, i32 0), ; Function's name i32 3, ; Function's name length i32 9, ; Function's encoded coverage mapping data string length i64 0 ; Function's structural hash }

In version 2, the function record for foo was defined as follows:

{ i64, i32, i64 } { i64 0x5cf8c24cdb18bdac, ; Function's name MD5 i32 9, ; Function's encoded coverage mapping data string length i64 0 ; Function's structural hash

Function record:¶

A function record is a structure of the following type:

{ i64, i32, i64, i64, [? x i8] }

It contains the function name’s MD5, the length of the encoded mapping data for that function, the function’s structural hash value, the hash of the filenames in the function’s translation unit, and the encoded mapping data.

Dissecting the sample:¶

Here’s an overview of the encoded data that was stored in the IR for the coverage mapping sample that was shown earlier:

• The IR contains the following string constant that represents the encoded coverage mapping data for the sample translation unit:
  c"\01\15\1Dx\DA\13\D1\0F-N-*\D6/+\CE\D6/\C9-\D0O\CB\CF\D7K\06\00N+\07]"
• The string contains values that are encoded in the LEB128 format, which is used throughout for storing integers. It also contains a compressed payload.
• The first three LEB128-encoded numbers in the sample specify the number of filenames, the length of the uncompressed filenames, and the length of the compressed payload (or 0 if compression is disabled). In this sample, there is 1 filename that is 21 bytes in length (uncompressed), and stored in 29 bytes (compressed).
• The coverage mapping from the first function record is encoded in this string:
  c"\01\00\00\01\01\01\0C\02\02"
  This string consists of the following bytes:

  0x01	The number of file ids used by this function. There is only one file id used by the mapping data in this function.
  0x00	An index into the filenames array which corresponds to the file “/Users/alex/test.c”.
  0x00	The number of counter expressions used by this function. This function doesn’t use any expressions.
  0x01	The number of mapping regions that are stored in an array for the function’s file id #0.
  0x01	The coverage mapping counter for the first region in this function. The value of 1 tells us that it’s a coverage mapping counter that is a reference to the profile instrumentation counter with an index of 0.
  0x01	The starting line of the first mapping region in this function.
  0x0C	The starting column of the first mapping region in this function.
  0x02	The ending line of the first mapping region in this function.
  0x02	The ending column of the first mapping region in this function.

• The length of the substring that contains the encoded coverage mapping data for the second function record is also 9. It’s structured like the mapping data for the first function record.
• The two trailing bytes are zeroes and are used to pad the coverage mapping data to give it the 8 byte alignment.

Encoding¶

The per-function coverage mapping data is encoded as a stream of bytes, with a simple structure. The structure consists of the encodingtypes like variable-length unsigned integers, that are used to encode File ID Mapping, Counter Expressions and the Mapping Regions.

The format of the structure follows:

[file id mapping, counter expressions, mapping regions]

The translation unit filenames are encoded using the same encodingtypes as the per-function coverage mapping data, with the following structure:

[numFilenames : LEB128, filename0 : string, filename1 : string, ...]

Types¶

This section describes the basic types that are used by the encoding format and can appear after : in the [foo : type] description.

LEB128¶

LEB128 is an unsigned integer value that is encoded using DWARF’s LEB128 encoding, optimizing for the case where values are small (1 byte for values less than 128).

Strings¶

[length : LEB128, characters...]

String values are encoded with a LEB value for the length of the string and a sequence of bytes for its characters.

File ID Mapping¶

[numIndices : LEB128, filenameIndex0 : LEB128, filenameIndex1 : LEB128, ...]

File id mapping in a function’s coverage mapping stream contains the indices into the translation unit’s filenames array.

Counter¶

[value : LEB128]

A coverage mapping counter is stored in a single LEB value. It is composed of two things — the tagwhich is stored in the lowest 2 bits, and the counter data which is stored in the remaining bits.

Tag:¶

The counter’s tag encodes the counter’s kind and, if the counter is an expression, the expression’s kind. The possible tag values are:

• 0 - The counter is zero.
• 1 - The counter is a reference to the profile instrumentation counter.
• 2 - The counter is a subtraction expression.
• 3 - The counter is an addition expression.

Data:¶

The counter’s data is interpreted in the following manner:

• When the counter is a reference to the profile instrumentation counter, then the counter’s data is the id of the profile counter.
• When the counter is an expression, then the counter’s data is the index into the array of counter expressions.

Counter Expressions¶

[numExpressions : LEB128, expr0LHS : LEB128, expr0RHS : LEB128, expr1LHS : LEB128, expr1RHS : LEB128, ...]

Counter expressions consist of two counters as they represent binary arithmetic operations. The expression’s kind is determined from the tag of the counter that references this expression.

Mapping Regions¶

[numRegionArrays : LEB128, regionsForFile0, regionsForFile1, ...]

The mapping regions are stored in an array of sub-arrays where every region in a particular sub-array has the same file id.

The file id for a sub-array of regions is the index of that sub-array in the main array e.g. The first sub-array will have the file id of 0.

Sub-Array of Regions¶

[numRegions : LEB128, region0, region1, ...]

The mapping regions for a specific file id are stored in an array that is sorted in an ascending order by the region’s starting location.

Mapping Region¶

[header, source range]

The mapping region record contains two sub-records — the header, which stores the counter and/or the region’s kind, and the source range that contains the starting and ending location of this region.

Source Range¶

[deltaLineStart : LEB128, columnStart : LEB128, numLines : LEB128, columnEnd : LEB128]

The source range record contains the following fields:

• deltaLineStart: The difference between the starting line of the current mapping region and the starting line of the previous mapping region.
  If the current mapping region is the first region in the current sub-array, then it stores the starting line of that region.
• columnStart: The starting column of the mapping region.
• numLines: The difference between the ending line and the starting line of the current mapping region.
• columnEnd: The ending column of the mapping region. If the high bit is set, the current mapping region is a gap area. A count for a gap area is only used as the line execution count if there are no other regions on a line.

Testing Format¶

Warning

This section is for the LLVM developers who are working on llvm-cov only.

llvm-cov uses a special file format (called .covmapping below) for testing purposes. This format is private and should have no use for general users. As a developer, you can get such files by the convert-for-testingsubcommand of llvm-cov.

The structure of the .covmapping files follows:

[magicNumber : u64, version : u64, profileNames, coverageMapping, coverageRecords]

Magic Number and Version¶

The magic is 0x6d766f636d766c6c, which is the ASCII stringllvmcovm in little-endian.

There are two versions for now:

• Version1, encoded as 0x6174616474736574 (ASCII string testdata).
• Version2, encoded as 1.

The only difference between Version1 and Version2 is in the encoding of thecoverageMapping fields, which is explained later.

Profile Names¶

profileNames, coverageMapping and coverageRecords are 3 sections extracted from the original binary file.

profileNames encodes the size, address and the raw data of the section:

[profileNamesSize : LEB128, profileNamesAddr : LEB128, profileNamesData : bytes]

Coverage Mapping¶

This field is padded with zero bytes to make it 8-byte aligned.

coverageMapping contains the records of the source files. In version 1, only one record is stored:

[padding : bytes, coverageMappingData : bytes]

Version 2 relaxes this restriction by encoding the size ofcoverageMappingData as a LEB128 number before the data:

[coverageMappingSize : LEB128, padding : bytes, coverageMappingData : bytes]

The current version is 2.

Coverage Records¶

This field is padded with zero bytes to make it 8-byte aligned.

coverageRecords is encoded as:

[padding : bytes, coverageRecordsData : bytes]

The rest data in the file is considered as the coverageRecordsData.