gecko-dev/taskcluster/docs/taskgraph.rst

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======================
TaskGraph Mach Command
======================
The task graph is built by linking different kinds of tasks together, pruning
out tasks that are not required, then optimizing by replacing subgraphs with
links to already-completed tasks.
Concepts
--------
* *Task Kind* - Tasks are grouped by kind, where tasks of the same kind do not
have interdependencies but have substantial similarities, and may depend on
tasks of other kinds. Kinds are the primary means of supporting diversity,
in that a developer can add a new kind to do just about anything without
impacting other kinds.
* *Task Attributes* - Tasks have string attributes by which can be used for
filtering. Attributes are documented in :doc:`attributes`.
* *Task Labels* - Each task has a unique identifier within the graph that is
stable across runs of the graph generation algorithm. Labels are replaced
with TaskCluster TaskIds at the latest time possible, facilitating analysis
of graphs without distracting noise from randomly-generated taskIds.
* *Optimization* - replacement of a task in a graph with an equivalent,
already-completed task, or a null task, avoiding repetition of work.
Kinds
-----
Kinds are the focal point of this system. They provide an interface between
the large-scale graph-generation process and the small-scale task-definition
needs of different kinds of tasks. Each kind may implement task generation
differently. Some kinds may generate task definitions entirely internally (for
example, symbol-upload tasks are all alike, and very simple), while other kinds
may do little more than parse a directory of YAML files.
A `kind.yml` file contains data about the kind, as well as referring to a
Python class implementing the kind in its ``implementation`` key. That
implementation may rely on lots of code shared with other kinds, or contain a
completely unique implementation of some functionality.
The result is a nice segmentation of implementation so that the more esoteric
in-tree projects can do their crazy stuff in an isolated kind without making
the bread-and-butter build and test configuration more complicated.
Dependencies
------------
Dependency links between tasks are always between different kinds(*). At a
large scale, you can think of the dependency graph as one between kinds, rather
than between tasks. For example, the unittest kind depends on the build kind.
The details of *which* tasks of the two kinds are linked is left to the kind
definition.
(*) A kind can depend on itself, though. You can safely ignore that detail.
Tasks can also be linked within a kind using explicit dependencies.
Decision Task
-------------
The decision task is the first task created when a new graph begins. It is
responsible for creating the rest of the task graph.
The decision task for pushes is defined in-tree, currently at
``testing/taskcluster/tasks/decision``. The task description invokes ``mach
taskcluster decision`` with some metadata about the push. That mach command
determines the optimized task graph, then calls the TaskCluster API to create
the tasks.
Graph Generation
----------------
Graph generation, as run via ``mach taskgraph decision``, proceeds as follows:
#. For all kinds, generate all tasks. The result is the "full task set"
#. Create links between tasks using kind-specific mechanisms. The result is
the "full task graph".
#. Select the target tasks (based on try syntax or a tree-specific
specification). The result is the "target task set".
#. Based on the full task graph, calculate the transitive closure of the target
task set. That is, the target tasks and all requirements of those tasks.
The result is the "target task graph".
#. Optimize the target task graph based on kind-specific optimization methods.
The result is the "optimized task graph" with fewer nodes than the target
task graph.
#. Create tasks for all tasks in the optimized task graph.
Mach commands
-------------
A number of mach subcommands are available aside from ``mach taskgraph
decision`` to make this complex system more accesssible to those trying to
understand or modify it. They allow you to run portions of the
graph-generation process and output the results.
``mach taskgraph tasks``
Get the full task set
``mach taskgraph full``
Get the full task graph
``mach taskgraph target``
Get the target task set
``mach taskgraph target-graph``
Get the target task graph
``mach taskgraph optimized``
Get the optimized task graph
Each of these commands taskes a ``--parameters`` option giving a file with
parameters to guide the graph generation. The decision task helpfully produces
such a file on every run, and that is generally the easiest way to get a
parameter file. The parameter keys and values are described in
:doc:`parameters`.
Finally, the ``mach taskgraph decision`` subcommand performs the entire
task-graph generation process, then creates the tasks. This command should
only be used within a decision task, as it assumes it is running in that
context.