Bitbake clean

// Опубликовано: 18.08.2020 автор: Порфирий

bitbake clean

Глючный тормозной bitbake, который может часами разруливать зависимости, теперь без полного clean продолжить возможно, но нереально сложно. 3. написать bitbake oscam. , | # On a Clean installation: YouTube for Google TV (discontinued version) Deleted. Мне нравится использовать его в моем рецепте yocto вместе с моим Makefile, мой идеал-это let PHONY: clean clean: rm -rf $(obj) $(target).

Bitbake clean

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Each target BitBake builds consists of multiple tasks such as fetch , unpack , patch , configure , and compile. For best performance on multi-core systems, BitBake considers each task as an independent entity with its own set of dependencies. Dependencies are defined through several variables. You can find information about variables BitBake uses in the Variables Glossary near the end of this manual.

For more information on how BitBake handles dependencies, see the " Dependencies " section. Based on the generated list of providers and the dependency information, BitBake can now calculate exactly what tasks it needs to run and in what order it needs to run them. The " Executing Tasks " section has more information on how BitBake chooses which task to execute next. BitBake continues to fork threads as long as there are tasks ready to run, those tasks have all their dependencies met, and the thread threshold has not been exceeded.

Currently, invalid timestamps are only considered on a per recipe file basis. So, for example, if the configure stamp has a timestamp greater than the compile timestamp for a given target, then the compile task would rerun.

Running the compile task again, however, has no effect on other providers that depend on that target. The exact format of the stamps is partly configurable. In modern versions of BitBake, a hash is appended to the stamp so that if the configuration changes, the stamp becomes invalid and the task is automatically rerun. This hash, or signature used, is governed by the signature policy that is configured see the " Checksums Signatures " section for information.

It is also possible to append extra metadata to the stamp using the "stamp-extra-info" task flag. For example, OpenEmbedded uses this flag to make some tasks machine-specific. For more information on tasks, see the " Tasks " section. Tasks can either be a shell task or a Python task. The generated shell script contains all the exported variables, and the shell functions with all variables expanded.

Looking at the expanded shell functions in the run file and the output in the log files is a useful debugging technique. For Python tasks, BitBake executes the task internally and logs information to the controlling terminal. Future versions of BitBake will write the functions to files similar to the way shell tasks are handled. Logging will be handled in a way similar to shell tasks as well. The order in which BitBake runs the tasks is controlled by its task scheduler.

It is possible to configure the scheduler and define custom implementations for specific use cases. For more information, see these variables that control the behavior:. This is done using the "prefuncs" and "postfuncs" flags of the task that lists the functions to run.

The signature of a task can be used to determine if a task needs to be run. To complicate the problem, some things should not be included in the checksum. First, there is the actual specific build path of a given task - the working directory. It does not matter if the working directory changes because it should not affect the output for target packages. The simplistic approach for excluding the working directory is to set it to some fixed value and create the checksum for the "run" script.

Another problem results from the "run" scripts containing functions that might or might not get called. The incremental build solution contains code that figures out dependencies between shell functions. This code is used to prune the "run" scripts down to the minimum set, thereby alleviating this problem and making the "run" scripts much more readable as a bonus.

So far we have solutions for shell scripts. What about Python tasks? The same approach applies even though these tasks are more difficult. The process needs to figure out what variables a Python function accesses and what functions it calls.

Again, the incremental build solution contains code that first figures out the variable and function dependencies, and then creates a checksum for the data used as the input to the task. Like the working directory case, situations exist where dependencies should be ignored. For these cases, you can instruct the build process to ignore a dependency by using a line like the following:.

Equally, there are cases where we need to add dependencies BitBake is not able to find. You can accomplish this by using a line like the following:. Consider a case with in-line Python, for example, where BitBake is not able to figure out dependencies. When running in debug mode i. Thus far, this section has limited discussion to the direct inputs into a task. Information based on direct inputs is referred to as the "basehash" in the code.

The checksum or signature for a particular task needs to add the hashes of all the tasks on which the particular task depends. Choosing which dependencies to add is a policy decision. At the code level, there are a variety of ways both the basehash and the dependent task hashes can be influenced. Within the BitBake configuration file, we can give BitBake some extra information to help it construct the basehash. The following statement effectively results in a list of global variable dependency excludes - variables never included in any checksum.

This example uses variables from OpenEmbedded to help illustrate the concept:. The rules for deciding which hashes of dependent tasks to include through dependency chains are more complex and are generally accomplished with a Python function. By default, there is a dummy "noop" signature handler enabled in BitBake. This means that behavior is unchanged from previous versions. This results in any metadata change that changes the task hash, automatically causing the task to be run again.

This removes the need to bump PR values, and changes to metadata automatically ripple across the build. It is also worth noting that the end result of these signature generators is to make some dependency and hash information available to the build. This information includes:. The other currently available parameter is "printdiff", which causes BitBake to try to establish the closest signature match it can e.

You can find more information on checksum metadata in the " Task Checksums and Setscene " section. The setscene process enables BitBake to handle "pre-built" artifacts. The ability to handle and reuse these artifacts allows BitBake the luxury of not having to build something from scratch every time. Instead, BitBake can use, when possible, existing build artifacts. BitBake needs to have reliable data indicating whether or not an artifact is compatible.

Signatures, described in the previous section, provide an ideal way of representing whether an artifact is compatible. If a signature is the same, an object can be reused. If an object can be reused, the problem then becomes how to replace a given task or set of tasks with the pre-built artifact.

BitBake solves the problem with the "setscene" process. If cached information is available, BitBake uses this information instead of running the main tasks. This function is designed to be fast and returns a list of the tasks for which it believes in can obtain artifacts.

Next, for each of the tasks that were returned as possibilities, BitBake executes a setscene version of the task that the possible artifact covers. The setscene version of the task executes and provides the necessary artifacts returning either success or failure. As previously mentioned, an artifact can cover more than one task. For example, it is pointless to obtain a compiler if you already have the compiled binary. The metadata can then ensure that this list is correct and can inform BitBake that it wants specific tasks to be run regardless of the setscene result.

You can find more information on setscene metadata in the " Task Checksums and Setscene " section. Bitbake files have their own syntax. The syntax has similarities to several other languages but also has some unique features. This section describes the available syntax and operators as well as provides examples. This assignment occurs immediately as the statement is parsed. It is a "hard" assignment. As expected, if you include leading or trailing spaces as part of an assignment, the spaces are retained:.

Following is an example that results in A containing "aval" and B evaluating to "preavalpost" based on that current value of A. You should realize that whenever B is referenced, its evaluation will depend on the state of A at that time. Thus, later evaluations of B in the previous example could result in different values depending on the value of A. You can use the "? This type of assignment allows you to define a variable if it is undefined when the statement is parsed, but to leave the value alone if the variable has a value.

If A is set at the time this statement is parsed, the variable retains its value. However, if A is not set, the variable is set to "aval". It is possible to use a "weaker" assignment than in the previous section by using the "?? This assignment behaves identical to "? Consequently, when multiple "?? If A is set before the above statements are parsed, the variable retains its value. If A is not set, the variable is set to "someothervalue". Again, this assignment is a "lazy" or "weak" assignment because it does not occur until the end of the parsing process.

These operators insert a space between the current value and prepended or appended value. Here are some examples:. The variable B contains "bval additionaldata" and C contains "test cval". If you want to append or prepend values without an inserted space, use the ". The variable B contains "bvaladditionaldata" and C contains "testcval". When you use this syntax, no spaces are inserted.

The variable B becomes "bval additional data" and C becomes "additional data cval". The variable D becomes "dvaladditional data". You can remove values from lists using the removal override style syntax. Specifying a value for removal causes all occurrences of that value to be removed from the variable. When you use this syntax, BitBake expects one or more strings. Surrounding spaces are removed as well. It is a way of tagging extra information onto a variable.

You can find more out about variable flags in general in the " Variable Flags " section. You can define, append, and prepend values to variable flags. All the standard syntax operations previously mentioned work for variable flags except for override style syntax i. The variable FOO has two flags: a and b. The flags are immediately set to "abc" and "", respectively. The a flag becomes "abc". You can use inline Python variable expansion to set variables. This example results in the DATE variable becoming the current date.

Doing so might cause BitBake to not recognize the path since BitBake does not expand this character in the same way a shell would. Instead, provide a fuller path as the following example illustrates:. The variable TEST by itself has a default value of "default". You select the os-specific version of the TEST variable by appending the "os" override to the variable i. Key expansion happens when the BitBake datastore is finalized just before BitBake expands overrides.

To better understand this, consider the following example:. This expansion causes A2 , which was set to "Y" before the expansion, to become "X". Despite the previous explanations that show the different forms of variable definitions, it can be hard to work out exactly what happens when variable operators, conditional overrides, and unconditional overrides are combined.

This section presents some common scenarios along with explanations for variable interactions that typically confuse users. There is often confusion concerning the order in which overrides and various "append" operators take effect. Consider the following example:. Applying overrides, however, changes things. This next example changes the order of the override and the append:. Once the override for "foo" is applied, however, A gets appended with "X".

Consequently, A becomes "ZX". Notice that spaces are not appended. This next example has the order of the appends and overrides reversed back as in the first example:. For this case, before any overrides are resolved, A is set to "Y" using an immediate assignment. Finally, applying the override for "foo" results in the conditional variable A becoming "Z X" i.

For this case, the type of append operators are affecting the order of assignments as BitBake passes through the code multiple times. Initially, A is set to "1 45" because of the three statements that use immediate operators. Those operations result in A becoming "1 ". BitBake allows for metadata sharing through include files. For example, suppose you have a piece of common functionality such as a task definition that you want to share between more than one recipe.

In this case, creating a. This section presents the mechanisms BitBake provides to allow you to share functionality between recipes. When writing a recipe or class file, you can use the inherit directive to inherit the functionality of a class. BitBake only supports this directive when used within recipe and class files i. The inherit directive is a rudimentary means of specifying what classes of functionality your recipes require. For example, you can easily abstract out the tasks involved in building a package that uses Autoconf and Automake and put those tasks into a class file that can be used by your recipe.

As an example, your recipes could use the following directive to inherit an autotools. The class file would contain common functionality for using Autotools that could be shared across recipes:. BitBake understands the include directive. This directive causes BitBake to parse whatever file you specify, and to insert that file at that location.

The directive is much like its equivalent in Make except that if the path specified on the include line is a relative path, BitBake locates the first file it can find within BBPATH. As an example, suppose you needed a recipe to include some self-test definitions:. BitBake understands the require directive.

This directive behaves just like the include directive with the exception that BitBake raises a parsing error if the file to be included cannot be found. Thus, any file you require is inserted into the file that is being parsed at the location of the directive. As an example, suppose you have two versions of a recipe e.

You could create an include file named foo. You need to be sure foo. Once these conditions are set up, you can share the functionality using a require directive from within each recipe:. When creating a configuration file. BitBake only supports this directive when used within a configuration file. As an example, suppose you needed to inherit a class file called abc. This configuration directive causes the named class to be inherited at the point of the directive during parsing.

As with the inherit directive, the. As with most languages, functions are the building blocks that are used to build up operations into tasks. BitBake supports these types of functions:. Shell Functions: Functions written in shell script and executed either directly as functions, tasks, or both.

They can also be called by other shell functions. Python Functions: Functions written in Python and executed by Python. Anonymous Python Functions: Python functions executed automatically during parsing. Regardless of the type of function, you can only define them in class. Functions written in shell script and executed either directly as functions, tasks, or both. Here is an example shell function definition:. When you create these types of functions in your recipe or class files, you need to follow the shell programming rules.

You should not use Bash-specific script bashisms. These functions are written in Python and executed by BitBake or other Python functions using bb. Because the Python "bb" and "os" modules are already imported, you do not need to import these modules.

Also in these types of functions, the datastore "d" is a global variable and is always automatically available. These functions are written in Python and are executed by other Python code. Examples of Python functions are utility functions that you intend to call from in-line Python or from within other Python functions. The BitBake datastore is not automatically available. Consequently, you must pass it in as a parameter to the function. The "bb" and "os" Python modules are automatically available.

You do not need to import them. Sometimes it is useful to run some code during parsing to set variables or to perform other operations programmatically. To do this, you can define an anonymous Python function. Here is an example that conditionally sets a variable based on the value of another variable:. Because unlike other Python functions anonymous Python functions are executed during parsing, the "d" variable within an anonymous Python function represents the datastore for the entire recipe.

Consequently, you can set variable values here and those values can be picked up by other functions. To understand the benefits of this feature, consider the basic scenario where a class defines a task function and your recipe inherits the class. In this basic scenario, your recipe inherits the task function as defined in the class.

However, if it redefines the function, there is no means for it to call the class version of the function. To make use of this technique, you need the following things in place:. For example, if you have a class file bar. For example, continuing with the same example, the statement in the bar. You need to call the function appropriately from within your recipe.

With these conditions met, your single recipe can freely choose between the original function as defined in the class file and the modified function in your recipe. If you do not set up these conditions, you are limited to using one function or the other. Tasks are BitBake execution units that originate as functions and make up the steps that BitBake needs to run for given recipe. Tasks are only supported in recipe.

Any function can be promoted to a task by applying the addtask command. The addtask command also describes inter-task dependencies. Here is the function from the previous section but with the addtask command promoting it to a task and defining some dependencies:. In the example, the function is defined and then promoted as a task.

As well as being able to add tasks, tasks can also be deleted. This is done simply with deltask command. For example, to delete the example task used in the previous sections, you would use:. When running a task, BitBake tightly controls the execution environment of the build tasks to make sure unwanted contamination from the build machine cannot influence the build.

Consequently, if you do want something to get passed into the build task environment, you must take these two steps:. Tell BitBake to load what you want from the environment into the datastore. Tell BitBake to export what you have loaded into the datastore to the task environment of every running task.

Loading something from the environment into the datastore previous step only makes it available in the datastore. To export it to the task environment of every running task, use a command similar to the following in your local configuration file local. Sometimes, it is useful to be able to obtain information from the original execution environment.

The previous example returns BAR from the original execution environment. By default, BitBake cleans the environment to include only those things exported or listed in its whitelist to ensure that the build environment is reproducible and consistent.

BitBake reads and writes varflags to the datastore using the following command forms:. When working with varflags, the same syntax, with the exception of overrides, applies. In other words, you can set, append, and prepend varflags just like variables. See the " Variable Flag Syntax " section for details.

BitBake has a defined set of varflags available for recipes and classes. Tasks support a number of these flags which control various functionality of the task:. The noexec flag can be used to set up tasks as dependency placeholders, or to disable tasks defined elsewhere that are not needed in a particular recipe. As an example, OpenEmbedded uses this flag to allow machine-specific tasks. Several varflags are useful for controlling how signatures are calculated for variables.

For more information on this process, see the " Checksums Signatures " section. Adding variables to this list is useful, for example, when a function refers to a variable in a manner that does not allow BitBake to automatically determine that the variable is referred to.

BitBake allows installation of event handlers within recipe and class files. Events are triggered at certain points during operation, such as the beginning of operation against a given. The intent is to make it easy to do things like email notification on build failure. Following is an example event handler that prints the name of the event and the content of the FILE variable:.

This event handler gets called every time an event is triggered. A global variable " e " is defined and " e. With the getName e method, one can get the name of the triggered event. Here is a list of other events that occur based on specific requests to the server:. BitBake supports two features that facilitate creating from a single recipe file multiple incarnations of that recipe file where all incarnations are buildable. Here is an example that results in a second incarnation of the current recipe being available.

This second incarnation will have the "native" class inherited. The name of the range defaults to the original version of the recipe. To allow for efficient operation given multiple processes executing in parallel, BitBake handles dependencies at the task level. BitBake supports a robust method to handle these dependencies. BitBake uses the addtask directive to manage dependencies that are internal to a given recipe file. You can use the addtask directive to indicate when a task is dependent on other tasks or when other tasks depend on that recipe.

The "rdeptask" flag for tasks is used to signify the task of each item runtime dependency which must have completed before that task can be executed. BitBake uses the "recrdeptask" flag to manage recursive task dependencies.

Once BitBake has accomplished this, it recursively works through the dependencies of those tasks. Iterative passes continue until all dependencies are discovered and added. You might want to not only have BitBake look for dependencies of those tasks, but also have BitBake look for build-time and runtime dependencies of the dependent tasks as well. If that is the case, you need to reference the task name itself in the task list:.

BitBake uses the "depends" flag in a more generic form to manage inter-task dependencies. The "rdepends" flag works in a similar way but takes targets in the runtime namespace instead of the build-time dependency namespace. It is often necessary to access variables in the BitBake datastore using Python functions. The Bitbake datastore has an API that allows you this access. Here is a list of available operations:. BitBake uses checksums or signatures along with the setscene to determine if a task needs to be run.

This section describes the process. To help understand how BitBake does this, the section assumes an OpenEmbedded metadata-based example. This list is a place holder of content existed from previous work on the manual. Some or all of it probably needs integrated into the subsections that make up this section.

For now, I have just provided a short glossary-like description for each variable. Ultimately, this list goes away. Fetching source code is one of the corner stones of building software. As such, this module forms an important part of BitBake. The current fetch module is called "fetch2" and refers to the fact that it is the second major version of the API. The original version is obsolete and removed from the codebase.

Thus, in all cases, "fetch" refers to "fetch2" in this manual. BitBake takes several steps when fetching source code or files. The fetcher codebase deals with two distinct processes in order: obtaining the files from somewhere cached or otherwise and then unpacking those files into a specific location and perhaps in a specific way. Getting and unpacking the files is often optionally followed by patching. Patching, however, is not covered by this module.

The code to execute the first part of this process, a fetch, looks something like the following:. This code sets up an instance of the fetch class. They variables can and are called with different variable names. In OpenEmbedded for example, the shared state sstate code uses the fetch module to fetch the sstate files. When the download method is called, BitBake tries to fulfill the URLs by looking for source files in a specific search order:.

Pre-mirror Sites: BitBake first uses pre-mirrors to try and find source files. Consider the following two URLs:. In the former case, the URL is passed to the wget fetcher, which does not understand "git". Therefore, the latter case is the correct form since the Git fetcher does know how to use HTTP as a transport. Since network accesses are slow, Bitbake maintains a cache of files downloaded from the network.

Any source files that are not local i. File integrity is of key importance for reproducing builds. For non-local archive downloads, the fetcher code can verify sha and md5 checksums to ensure the archives have been downloaded correctly. If multiple URIs exist, you can specify the checksums either directly as in the previous example, or you can name the URLs.

The following syntax shows how you name the URIs:. After a file has been downloaded and has had its checksum checked, a ". BitBake uses this stamp during subsequent builds to avoid downloading or comparing a checksum for the file again. The unpack process usually immediately follows the download.

A number of parameters exist that you can specify within the URL to govern the behavior of the unpack stage:. If set to "1", which is the default, the components are unpacked. If set to "0", the unpack stage leaves the file alone.

This parameter is useful when you want an archive to be copied in and not be unpacked. The unpack call automatically decompresses and extracts files with ". Z", ". As mentioned, the Git fetcher has its own unpack method that is optimized to work with Git trees.

Basically, this method works by cloning the tree into the final directory. The process is completed using references so that there is only one central copy of the Git metadata needed. Each submodule can support different URL parameters, which are described in the following sections. The filename you specify with in the URL can either be an absolute or relative path to a file.

This submodule handles checking out files from the CVS version control system. You can configure it using a number of different variables:. This name is usually "cvs". A special value of "now" causes the checkout to be updated on every build. As well as the standard username and password URL syntax, you can also configure the fetcher with various URL parameters:. By default, this protocol is "pserver".

You can use "dir" for local directories. You must supply this parameter. By default, the TAG is empty. The special value of "now" causes the checkout to be updated on every build. Effectively, you are renaming the output directory to which the module is unpacked. The tarball is expanded into the work directory. By default, the CVS metadata is removed. This fetcher obtains files from web and FTP servers. Internally, the fetcher uses the wget utility. The fetcher supports a parameter "downloadfilename" that allows the name of the downloaded file to be specified.

This fetcher submodule fetches code from the Subversion source control system. You must provide this parameter. You can think of this parameter as the top-level directory of the repository data you want. For "rsh", the "rsh" parameter is also used. Specific revisions are generally much safer to checkout rather than by date as they do not involve timezones e.

By default, these directories are removed. This fetcher submodule fetches code from the Git source control system. This bare clone is then cloned into the work directory during the unpack stage when a specific tree is checked out.

This is done using alternates and by reference to minimize the amount of duplicate data on the disk and make the unpack process fast. The default is "git" when a hostname is set. If a hostname is not set, the Git protocol is "file".

You can also use "http", "https", "ssh" and "rsync". Set this option for the URL where there is a custom routine to checkout code. The default is "0". You should set this parameter to "1" if revisions can become detached from branches. In this case, the source mirror tarball is done per revision, which has a loss of efficiency.

Rebasing the upstream Git repository could cause the current revision to disappear from the upstream repository. This option reminds the fetcher to preserve the local cache carefully for future use. The default value for this parameter is "0". Set this option for the recipe that refers to the commit that is valid for a tag instead of the branch.

Only the raw Git metadata is provided. This parameter implies the "nocheckout" parameter as well. If unset, this is assumed to be "master". The number of branch parameters much match the number of name parameters. The default is "master". To correctly resolve tags, BitBake must access the network. For that reason, tags are often not used. As far as Git is concerned, the "tag" parameter behaves effectively the same as the "revision" parameter.

By default, the whole tree is checked out. No documentation currently exists for these lesser used fetcher submodules. However, you might find the code helpful and readable. This chapter lists common variables used by BitBake and gives an overview of their function and contents. The variables listed in this glossary are specific to BitBake.

Consequently, the descriptions are limited to that context. Also, variables exist in other systems that use BitBake e. The Yocto Project and OpenEmbedded that have names identical to those found in this glossary. For such cases, the variables in those systems extend the functionality of the variable as it is described here in this glossary.

Finally, there are variables mentioned in this glossary that do not appear in the BitBake glossary. These other variables are variables used in systems that use BitBake. Lists recipe names PN values BitBake does not attempt to build. Instead, BitBake assumes these recipes have already been built.

An example is git-native , which when specified allows for the Git binary from the host to be used rather than building git-native. Contains the name of the currently running task. Defines how BitBake handles situations where an append file. This condition often occurs when layers get out of sync e. The default fatal behavior is safest because it is the sane reaction given something is out of sync.

It is important to realize when your changes are no longer being applied. The default task to use when none is specified e. Monitors disk space and available inodes during the build and allows you to control the build based on these parameters. Disk space monitoring is disabled by default. When setting this variable, use the following form:. No disk monitoring occurs for the free inodes in this case. No disk space monitoring for the directory itself occurs in this case.

During the build, subsequent warnings are issued each time disk space or number of free inodes further reduces by the respective interval. When specifying the variable in your configuration file, use the following form:. Subsequent warnings based on the interval occur each time a respective interval is reached beyond the initial warning i.

Contains the filename of the recipe that owns the currently running task. Anyone wishing to create a source mirror would want to enable this variable. For performance reasons, creating and placing tarballs of the Git repositories is not the default action by BitBake.

Lists variables that are excluded from base configuration checksum, which is used to determine if the cache can be reused. One of the ways BitBake determines whether to re-parse the main metadata is through checksums of the variables in the datastore of the base configuration data. There are variables that you typically want to exclude when checking whether or not to re-parse and thus rebuild the cache.

If you did not exclude them, BitBake would never reuse the cache. Lists variables that are excluded from checksum and dependency data. Variables that are excluded can therefore change without affecting the checksum mechanism. A common example would be the variable for the path of the build. The function returns the list of setscene tasks that should be executed.

At this point in the execution of the code, the objective is to quickly verify if a given setscene function is likely to work or not. The returned list need not be completely accurate. A given setscene task can still later fail. However, the more accurate the data returned, the more efficient the build will be. Used in combination with the ConfigParsed event to trigger re-parsing the base metadata i.

The ConfigParsed event can set the variable to trigger the re-parse. You must be careful to avoid recursive loops with this functionality. If you want to force log files to take a specific name, you can set this variable in a configuration file. Allows BitBake to run at a specific priority i. System permissions usually mean that BitBake can reduce its priority but not raise it again.

Disables network access in the BitBake fetcher modules. With this access disabled, any command that attempts to access the network becomes an error. Disabling network access is useful for testing source mirrors, running builds when not connected to the Internet, and when operating in certain kinds of firewall environments.

The maximum number of tasks BitBake should run in parallel at any one time. If your host development system supports multiple cores, a good rule of thumb is to set this variable to twice the number of cores. Sets the number of threads BitBake uses when parsing. By default, the number of threads is equal to the number of cores on the system.

Contains a copy of the original external environment in which BitBake was run. Specifies the name of the executable script files i. If you want to force run files to take a specific name, you can set this variable in a configuration file. Contains the name of the currently executing task. Selects the name of the scheduler to use for the scheduling of BitBake tasks.

Three options exist:. Using this option causes tasks to be ordered numerically as they are parsed. The "speed" option is the default. Defines custom schedulers to import. Custom schedulers need to be derived from the RunQueueScheduler class.

Specifies a function BitBake calls that determines whether BitBake requires a setscene dependency to be met. When running a setscene task, BitBake needs to know which dependencies of that setscene task also need to be run. Whether dependencies also need to be run is highly dependent on the metadata. The function specified by this variable returns a "True" or "False" depending on whether the dependency needs to be met.

Specifies a function to call that verifies the list of planned task execution before the main task execution happens. The function is called once BitBake has a list of setscene tasks that have run and either succeeded or failed. The function allows for a task list check to see if they make sense. Even if BitBake was planning to skip a task, the returned value of the function can force BitBake to run the task, which is necessary under certain metadata defined circumstances.

Lists variable flags varflags that can be safely excluded from checksum and dependency data for keys in the datastore. When generating checksum or dependency data for keys in the datastore, the flags set against that key are normally included in the checksum. For more information on varflags, see the " Variable Flags " section. Defines the name of the signature handler BitBake uses.

The signature handler defines the way stamp files are created and handled, if and how the signature is incorporated into the stamps, and how the signature itself is generated. A new signature handler can be added by injecting a class derived from the SignatureGenerator class into the global namespace.

Defines the behavior of the fetcher when it interacts with source control systems and dynamic source revisions. With this policy, there is no cache. The "clear" policy is the default. Defines the mode used for how timestamps of stamp files are compared. You can set the variable to one of the following modes:. This is the default mode. Lists files whose stamp file timestamps are compared when the stamp policy mode is set to "whitelist". Sets a more strict checksum mechanism for non-local URLs.

Setting this variable to a value causes BitBake to report an error if it encounters a non-local URL that does not have at least one checksum specified. Allows specific tasks to change their priority i. You can use this variable in combination with task overrides to raise or lower priorities of specific tasks. For example, on the Yocto Project autobuilder, QEMU emulation in images is given a higher priority as compared to build tasks to ensure that images do not suffer timeouts on loaded systems.

Within an executing task, this variable holds the hash of the task as returned by the currently enabled signature generator. Controls how verbose BitBake is during builds. If set, shell scripts echo commands and shell script output appears on standard out stdout.

Specifies if the current context is executing a task. BitBake sets this variable to "1" when a task is being executed. The value is not set when the task is in server context during parsing or event handling. Allows you to extend a recipe so that it builds variants of the software. To build a different variant of the recipe with a minimal amount of code, it usually is as simple as adding the variable to your recipe.

Here are two examples. The "native" variants are from the OpenEmbedded Core metadata:. Sets the BitBake debug output level to a specific value as incremented by the -d command line option. Lists the names of configured layers. This variable is useful in situations where the same recipe appears in more than one layer.

Setting this variable allows you to prioritize a layer against other layers that contain the same recipe - effectively letting you control the precedence for the multiple layers. For example, the value 6 has a higher precedence than the value 5. If set to a value, enables printing the task log when reporting a failed task.

Lists the layers to enable during the build. This variable is defined in the bblayers. This example enables four layers, one of which is a custom, user-defined layer named meta-mykernel. Prevents BitBake from processing recipes and recipe append files. BitBake ignores any recipe or recipe append files that match the expression. It is as if BitBake does not see them at all. Consequently, matching files are not parsed or otherwise used by BitBake.

The expression is compared against the full paths to the files. If you want to mask out multiple directories or recipes, use the vertical bar to separate the regular expression fragments. This next example masks out multiple directories and individual recipes:. Used by BitBake to locate class. This variable is analogous to the PATH variable. Set the variable as you would any environment variable and then run BitBake:.

Points to the server that runs memory-resident BitBake. The variable is only used when you employ memory-resident BitBake. Allows a single recipe to build multiple versions of a project from a single recipe file. Used to specify the UI module to use when running BitBake.

Using this variable is equivalent to using the -u command-line option. A name assigned to the build. The name defaults to a datetime stamp of when the build was started but can be defined by the metadata. Specifies the directory BitBake uses to store a cache of the metadata so it does not need to be parsed every time BitBake is started. The most common usage of this is variable is to set it to "-1" within a recipe for a development version of a piece of software. Consider this simple example for two recipes named "a" and "b" that produce similarly named packages.

This means anything that recipe "b" puts into sysroot is available when recipe "a" is configuring itself. The central download directory used by the build process to store downloads. Directs BitBake to exclude a recipe from world builds i. During world builds, BitBake locates, parses and builds all recipes found in every layer exposed in the bblayers. To exclude a recipe from a world build using this variable, set the variable to "1" in the recipe.

Contains the command to use when running a shell script in a fakeroot environment. See these entries in the glossary for more information. Contains the command that starts the bitbake-worker process in the fakeroot environment. Lists directories to create before running a task in the fakeroot environment.

Lists environment variables to set when running a task in the fakeroot environment. Lists environment variables to set when running a task that is not in the fakeroot environment. Defines the command the BitBake fetcher module executes when running fetch operations.

You need to use an override suffix when you use the variable e. Points at the current file. BitBake sets this variable during the parsing process to identify the file being parsed. BitBake also sets this variable when a recipe is being executed to identify the recipe file. Specifies directories BitBake uses when searching for patches and files.

The variable behaves like a shell PATH environment variable. The value is a colon-separated list of directories that are searched left-to-right in order. Website where more information about the software the recipe is building can be found. Causes the named class to be inherited at this point during parsing.

The variable is only valid in configuration files. The image got built. But, when I went back to modify the source, the git repository seems to be missing in its location. I expect part 4. If you want to try with some changes at the source level, you can also have a try of. I found devshell a convenient way to try with some source or inpackage level changes and tryout. It does open a new shell at the package location.

Where you can give the commands locally. As simple as make. By checking the tasks code directly in recipe or in inherited recipe what exactly will be done. Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams? Collectives on Stack Overflow. Learn more. Bitbake -c clean removed source Ask Question. Asked 5 years, 6 months ago.

Active 4 years, 5 months ago. Viewed 21k times. Thanks in advance. Improve this question. Gomu Gomu 5 5 gold badges 15 15 silver badges 31 31 bronze badges. Add a comment. Active Oldest Votes. Improve this answer.

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