This document describes an infrastructural feature called Structured Data plugins. See the DarwinLog documentation for a description of one such plugin that makes use of this feature.
StructuredDataPlugin instances have the following characteristics:
Each plugin instance is bound to a single Process instance.
Each StructuredData feature has a type name that identifies the feature. For instance, the type name for the DarwinLog feature is “DarwinLog”. This feature type name is used in various places.
The process monitor reports the list of supported StructuredData features advertised by the process monitor. Process goes through the list of supported feature type names, and asks each known StructuredDataPlugin if it can handle the feature. The first plugin that supports the feature is mapped to that Process instance for that feature. Plugins are only mapped when the process monitor advertises that a feature is supported.
The feature may send asynchronous messages in StructuredData format to the Process instance. Process instances route the asynchronous structured data messages to the plugin mapped to that feature type, if one exists.
Plugins can request that the Process instance forward on configuration data to the process monitor if the plugin needs/wants to configure the feature. Plugins may call the new Process method
virtual Error ConfigureStructuredData(ConstString type_name, const StructuredData::ObjectSP &config_sp)
where type_name is the feature name and config_sp points to the configuration structured data, which may be nullptr.
Plugins for features present in a process are notified when modules are loaded into the Process instance via this StructuredDataPlugin method:
virtual void ModulesDidLoad(Process &process, ModuleList &module_list);
Plugins may optionally broadcast their received structured data as an LLDB process-level event via the following new Process call:
void BroadcastStructuredData(const StructuredData::ObjectSP &object_sp, const lldb::StructuredDataPluginSP &plugin_sp);
IDE clients might use this feature to receive information about the process as it is running to monitor memory usage, CPU usage, and logging.
Internally, the event type created is an instance of EventDataStructuredData.
In the case where a plugin chooses to broadcast a received StructuredData event, the command-line LLDB Debugger instance listens for them. The Debugger instance then gives the plugin an opportunity to display info to either the debugger output or error stream at a time that is safe to write to them. The plugin can choose to display something appropriate regarding the structured data that time.
Plugins can provide a ProcessLaunchInfo filter method when the plugin is registered. If such a filter method is provided, then when a process is about to be launched for debugging, the filter callback is invoked, given both the launch info and the target. The plugin may then alter the launch info if needed to better support the feature of the plugin.
The plugin is entirely independent of the type of Process-derived class that it is working with. The only requirements from the process monitor are the following feature-agnostic elements:
Provide a way to discover features supported by the process monitor for the current process.
Specify the list of supported feature type names to Process. The process monitor does this by calling the following new method on Process:
void MapSupportedStructuredDataPlugins(const StructuredData::Array &supported_type_names)
The supported_type_names specifies an array of string entries, where each entry specifies the name of a StructuredData feature.
Provide a way to forward on configuration data for a feature type to the process monitor. This is the manner by which LLDB can configure a feature, perhaps based on settings or commands from the user. The following virtual method on Process (described earlier) does the job:
virtual Error ConfigureStructuredData(ConstString type_name, const StructuredData::ObjectSP &config_sp)
Listen for asynchronous structured data packets from the process monitor, and forward them on to Process via this new Process member method:
bool RouteAsyncStructuredData(const StructuredData::ObjectSP object_sp)
StructuredData producers must send their top-level data as a Dictionary type, with a key called ‘type’ specifying a string value, where the value is equal to the StructuredData feature/type name previously advertised. Everything else about the content of the dictionary is entirely up to the feature.
StructuredDataPlugin commands show up under plugin structured-data plugin-name.
StructuredDataPlugin settings show up under plugin.structured-data.{plugin-name}.
The DarwinLog feature supports logging os_log*() and NSLog() messages to the command-line lldb console, as well as making those messages available to LLDB clients via the event system. Starting with fall 2016 OSes, Apple platforms introduce a new fire-hose, stream-style logging system where the bulk of the log processing happens on the log consumer side. This reduces logging impact on the system when there are no consumers, making it cheaper to include logging at all times. However, it also increases the work needed on the consumer end when log messages are desired.
The debugserver binary has been modified to support collection of os_log*()/NSLog() messages, selection of which messages appear in the stream, and fine-grained filtering of what gets passed on to the LLDB client. DarwinLog also tracks the activity chain (i.e. os_activity() hierarchy) in effect at the time the log messages were issued. The user is able to configure a number of aspects related to the formatting of the log message header fields.
The DarwinLog support is written in a way which should support the lldb client side on non-Apple clients talking to an Apple device or macOS system; hence, the plugin support is built into all LLDB clients, not just those built on an Apple platform.
StructuredDataDarwinLog implements the ‘DarwinLog’ feature type, and the plugin name for it shows up as darwin-log.
The user interface to the darwin-log support is via the following:
plugin structured-data darwin-log enable command
This is the main entry point for enabling the command. It can be set before launching a process or while the process is running. If the user wants to squelch seeing info-level or debug-level messages, which is the default behavior, then the enable command must be made prior to launching the process; otherwise, the info-level and debug-level messages will always show up. Also, there is a similar “echo os_log()/NSLog() messages to target process stderr” mechanism which is properly disabled when enabling the DarwinLog support prior to launch. This cannot be squelched if enabling DarwinLog after launch.
See the help for this command. There are a number of options to shrink or expand the number of messages that are processed on the remote side and sent over to the client, and other options to control the formatting of messages displayed.
This command is sticky. Once enabled, it will stay enabled for future process launches.
plugin structured-data darwin-log disable command
Executing this command disables os_log() capture in the currently running process and signals LLDB to stop attempting to launch new processes with DarwinLog support enabled.
settings set plugin.structured-data.darwin-log.enable-on-startup true
and
settings set plugin.structured-data.darwin-log.auto-enable-options -- {options}
When enable-on-startup is set to true, then LLDB will automatically enable DarwinLog on startup of relevant processes. It will use the content provided in the auto-enable-options settings as the options to pass to the enable command.
Note the -- required after auto-enable-command. That is necessary for raw commands like settings set. The -- will not become part of the options for the enable command.
os_log()-style collection is not free. The more data that must be processed, the slower it will be. There are several knobs available to the developer to limit how much data goes through the pipe, and how much data ultimately goes over the wire to the LLDB client. The user's goal should be to ensure he or she only collects as many log messages are needed, but no more.
The flow of data looks like the following:
Data comes into debugserver from the low-level OS facility that receives log messages. The data that comes through this pipe can be limited or expanded by the --debug, --info and --all-processes options of the plugin structured-data darwin-log enable command options. Exclude as many categories as possible here (also the default). The knobs here are very coarse - for example, whether to include os_log_info()-level or os_log_debug()-level info, or to include callstacks in the log message event data.
The debugserver process filters the messages that arrive through a message log filter that may be fully customized by the user. It works similar to a rules-based packet filter: a set of rules are matched against the log message, each rule tried in sequential order. The first rule that matches then either accepts or rejects the message. If the log message does not match any rule, then the message gets the no-match (i.e. fall-through) action. The no-match action defaults to accepting but may be set to reject.
Filters can be added via the enable command's ‘--filter {filter-spec}’ option. Filters are added in order, and multiple --filter entries can be provided to the enable command.
Filters take the following form:
{action} {attribute} {op}
{action} :=
accept |
reject
{attribute} :=
category | // The log message category
subsystem | // The log message subsystem
activity | // The child-most activity in force
// at the time the message was logged.
activity-chain | // The complete activity chain, specified
// as {parent-activity}:{child-activity}:
// {grandchild-activity}
message | // The fully expanded message contents.
// Note this one is expensive because it
// requires expanding the message. Avoid
// this if possible, or add it further
// down the filter chain.
{op} :=
match {exact-match-text} |
regex {search-regex} // uses C++ std::regex
// ECMAScript variant.
e.g. --filter "accept subsystem match com.example.mycompany.myproduct" --filter "accept subsystem regex com.example.+" --filter "reject category regex spammy-system-[[:digit:]]+"
Several settings control aspects of displaying log messages in command-line LLDB. See the enable command's help for a description of these.
The DarwinLog feature supports logging os_log*() and NSLog() messages to the command-line lldb console, as well as making those messages available to LLDB clients via the event system. Starting with fall 2016 OSes, Apple platforms introduce a new fire-hose, stream-style logging system where the bulk of the log processing happens on the log consumer side. This reduces logging impact on the system when there are no consumers, making it cheaper to include logging at all times. However, it also increases the work needed on the consumer end when log messages are desired.
The debugserver binary has been modified to support collection of os_log*()/NSLog() messages, selection of which messages appear in the stream, and fine-grained filtering of what gets passed on to the LLDB client. DarwinLog also tracks the activity chain (i.e. os_activity() hierarchy) in effect at the time the log messages were issued. The user is able to configure a number of aspects related to the formatting of the log message header fields.
The DarwinLog support is written in a way which should support the lldb client side on non-Apple clients talking to an Apple device or macOS system; hence, the plugin support is built into all LLDB clients, not just those built on an Apple platform.
StructuredDataDarwinLog implements the ‘DarwinLog’ feature type, and the plugin name for it shows up as darwin-log.
The user interface to the darwin-log support is via the following:
plugin structured-data darwin-log enable command
This is the main entry point for enabling the command. It can be set before launching a process or while the process is running. If the user wants to squelch seeing info-level or debug-level messages, which is the default behavior, then the enable command must be made prior to launching the process; otherwise, the info-level and debug-level messages will always show up. Also, there is a similar “echo os_log()/NSLog() messages to target process stderr” mechanism which is properly disabled when enabling the DarwinLog support prior to launch. This cannot be squelched if enabling DarwinLog after launch.
See the help for this command. There are a number of options to shrink or expand the number of messages that are processed on the remote side and sent over to the client, and other options to control the formatting of messages displayed.
This command is sticky. Once enabled, it will stay enabled for future process launches.
plugin structured-data darwin-log disable command
Executing this command disables os_log() capture in the currently running process and signals LLDB to stop attempting to launch new processes with DarwinLog support enabled.
settings set plugin.structured-data.darwin-log.enable-on-startup true
and
settings set plugin.structured-data.darwin-log.auto-enable-options -- {options}
When enable-on-startup is set to true, then LLDB will automatically enable DarwinLog on startup of relevant processes. It will use the content provided in the auto-enable-options settings as the options to pass to the enable command.
Note the -- required after auto-enable-command. That is necessary for raw commands like settings set. The -- will not become part of the options for the enable command.
os_log()-style collection is not free. The more data that must be processed, the slower it will be. There are several knobs available to the developer to limit how much data goes through the pipe, and how much data ultimately goes over the wire to the LLDB client. The user's goal should be to ensure he or she only collects as many log messages are needed, but no more.
The flow of data looks like the following:
Data comes into debugserver from the low-level OS facility that receives log messages. The data that comes through this pipe can be limited or expanded by the --debug, --info and --all-processes options of the plugin structured-data darwin-log enable command options. Exclude as many categories as possible here (also the default). The knobs here are very coarse - for example, whether to include os_log_info()-level or os_log_debug()-level info, or to include callstacks in the log message event data.
The debugserver process filters the messages that arrive through a message log filter that may be fully customized by the user. It works similar to a rules-based packet filter: a set of rules are matched against the log message, each rule tried in sequential order. The first rule that matches then either accepts or rejects the message. If the log message does not match any rule, then the message gets the no-match (i.e. fall-through) action. The no-match action defaults to accepting but may be set to reject.
Filters can be added via the enable command's ‘--filter {filter-spec}’ option. Filters are added in order, and multiple --filter entries can be provided to the enable command.
Filters take the following form:
{action} {attribute} {op}
{action} :=
accept |
reject
{attribute} :=
category | // The log message category
subsystem | // The log message subsystem
activity | // The child-most activity in force
// at the time the message was logged.
activity-chain | // The complete activity chain, specified
// as {parent-activity}:{child-activity}:
// {grandchild-activity}
message | // The fully expanded message contents.
// Note this one is expensive because it
// requires expanding the message. Avoid
// this if possible, or add it further
// down the filter chain.
{op} :=
match {exact-match-text} |
regex {search-regex} // uses C++ std::regex
// ECMAScript variant.
e.g. --filter "accept subsystem match com.example.mycompany.myproduct" --filter "accept subsystem regex com.example.+" --filter "reject category regex spammy-system-[[:digit:]]+"
Several settings control aspects of displaying log messages in command-line LLDB. See the enable command's help for a description of these.