rust/src/librustc/dep_graph

Dependency graph for incremental compilation

This module contains the infrastructure for managing the incremental compilation dependency graph. This README aims to explain how it ought to be used. In this document, we'll first explain the overall strategy, and then share some tips for handling specific scenarios.

The high-level idea is that we want to instrument the compiler to track which parts of the AST and other IR are read/written by what. This way, when we come back later, we can look at this graph and determine what work needs to be redone.

The dependency graph

The nodes of the graph are defined by the enum DepNode. They represent one of three things:

1. HIR nodes (like Hir(DefId)) represent the HIR input itself.
2. Data nodes (like TypeOfItem(DefId)) represent some computed information about a particular item.
3. Procedure nodes (like CoherenceCheckTrait(DefId)) represent some procedure that is executing. Usually this procedure is performing some kind of check for errors. You can think of them as computed values where the value being computed is () (and the value may fail to be computed, if an error results).

An edge N1 -> N2 is added between two nodes if either:

• the value of N1 is used to compute N2;
• N1 is read by the procedure N2;
• the procedure N1 writes the value N2.

The latter two conditions are equivalent to the first one if you think of procedures as values.

Basic tracking

There is a very general strategy to ensure that you have a correct, if sometimes overconservative, dependency graph. The two main things you have to do are (a) identify shared state and (b) identify the current tasks.

Identifying shared state

Identify "shared state" that will be written by one pass and read by another. In particular, we need to identify shared state that will be read "across items" -- that is, anything where changes in one item could invalidate work done for other items. So, for example:

1. The signature for a function is "shared state".
2. The computed type of some expression in the body of a function is not shared state, because if it changes it does not itself invalidate other functions (though it may be that it causes new monomorphizations to occur, but that's handled independently).

Put another way: if the HIR for an item changes, we are going to recompile that item for sure. But we need the dep tracking map to tell us what else we have to recompile. Shared state is anything that is used to communicate results from one item to another.

Identifying the current task, tracking reads/writes, etc

FIXME(#42293). This text needs to be rewritten for the new red-green system, which doesn't fully exist yet.

Dependency tracking map

DepTrackingMap is a particularly convenient way to correctly store shared state. A DepTrackingMap is a special hashmap that will add edges automatically when get and insert are called. The idea is that, when you get/insert a value for the key K, we will add an edge from/to the node DepNode::Variant(K) (for some variant specific to the map).

Each DepTrackingMap is parameterized by a special type M that implements DepTrackingMapConfig; this trait defines the key and value types of the map, and also defines a fn for converting from the key to a DepNode label. You don't usually have to muck about with this by hand, there is a macro for creating it. You can see the complete set of DepTrackingMap definitions in librustc/middle/ty/maps.rs.

As an example, let's look at the adt_defs map. The adt_defs map maps from the def-id of a struct/enum to its AdtDef. It is defined using this macro:

dep_map_ty! { AdtDefs: ItemSignature(DefId) -> ty::AdtDefMaster<'tcx> }
//            ~~~~~~~  ~~~~~~~~~~~~~ ~~~~~     ~~~~~~~~~~~~~~~~~~~~~~
//               |           |      Key type       Value type
//               |    DepNode variant
//      Name of map id type

this indicates that a map id type AdtDefs will be created. The key of the map will be a DefId and value will be ty::AdtDefMaster<'tcx>. The DepNode will be created by DepNode::ItemSignature(K) for a given key.

Once that is done, you can just use the DepTrackingMap like any other map:

let mut map: DepTrackingMap<M> = DepTrackingMap::new(dep_graph);
map.insert(key, value); // registers dep_graph.write
map.get(key; // registers dep_graph.read

Memoization

One particularly interesting case is memoization. If you have some shared state that you compute in a memoized fashion, the correct thing to do is to define a RefCell<DepTrackingMap> for it and use the memoize helper:

map.memoize(key, || /* compute value */)

This will create a graph that looks like

... -> MapVariant(key) -> CurrentTask

where MapVariant is the DepNode variant that the map is associated with, and ... are whatever edges the /* compute value */ closure creates.

In particular, using the memoize helper is much better than writing the obvious code yourself:

if let Some(result) = map.get(key) {
    return result;
}
let value = /* compute value */;
map.insert(key, value);

If you write that code manually, the dependency graph you get will include artificial edges that are not necessary. For example, imagine that two tasks, A and B, both invoke the manual memoization code, but A happens to go first. The resulting graph will be:

... -> A -> MapVariant(key) -> B
~~~~~~~~~~~~~~~~~~~~~~~~~~~       // caused by A writing to MapVariant(key)
            ~~~~~~~~~~~~~~~~~~~~  // caused by B reading from MapVariant(key)

This graph is not wrong, but it encodes a path from A to B that should not exist. In contrast, using the memoized helper, you get:

... -> MapVariant(key) -> A
             |
             +----------> B

which is much cleaner.

Be aware though that the closure is executed with MapVariant(key) pushed onto the stack as the current task! That means that you must add explicit read calls for any shared state that it accesses implicitly from its environment. See the section on "explicit calls to read and write when starting a new subtask" above for more details.

How to decide where to introduce a new task

Certainly, you need at least one task on the stack: any attempt to read or write shared state will panic if there is no current task. But where does it make sense to introduce subtasks? The basic rule is that a subtask makes sense for any discrete unit of work you may want to skip in the future. Adding a subtask separates out the reads/writes from that particular subtask versus the larger context. An example: you might have a 'meta' task for all of borrow checking, and then subtasks for borrow checking individual fns. (Seen in this light, memoized computations are just a special case where we may want to avoid redoing the work even within the context of one compilation.)

The other case where you might want a subtask is to help with refining the reads/writes for some later bit of work that needs to be memoized. For example, we create a subtask for type-checking the body of each fn. However, in the initial version of incr. comp. at least, we do not expect to actually SKIP type-checking -- we only expect to skip trans. However, it's still useful to create subtasks for type-checking individual items, because, otherwise, if a fn sig changes, we won't know which callers are affected -- in fact, because the graph would be so coarse, we'd just have to retrans everything, since we can't distinguish which fns used which fn sigs.

Testing the dependency graph

There are various ways to write tests against the dependency graph. The simplest mechanism are the #[rustc_if_this_changed] and #[rustc_then_this_would_need] annotations. These are used in compile-fail tests to test whether the expected set of paths exist in the dependency graph. As an example, see src/test/compile-fail/dep-graph-caller-callee.rs.

The idea is that you can annotate a test like:

#[rustc_if_this_changed]
fn foo() { }

#[rustc_then_this_would_need(TypeckTables)] //~ ERROR OK
fn bar() { foo(); }

#[rustc_then_this_would_need(TypeckTables)] //~ ERROR no path
fn baz() { }

This will check whether there is a path in the dependency graph from Hir(foo) to TypeckTables(bar). An error is reported for each #[rustc_then_this_would_need] annotation that indicates whether a path exists. //~ ERROR annotations can then be used to test if a path is found (as demonstrated above).

Debugging the dependency graph

Dumping the graph

The compiler is also capable of dumping the dependency graph for your debugging pleasure. To do so, pass the -Z dump-dep-graph flag. The graph will be dumped to dep_graph.{txt,dot} in the current directory. You can override the filename with the RUST_DEP_GRAPH environment variable.

Frequently, though, the full dep graph is quite overwhelming and not particularly helpful. Therefore, the compiler also allows you to filter the graph. You can filter in three ways:

1. All edges originating in a particular set of nodes (usually a single node).
2. All edges reaching a particular set of nodes.
3. All edges that lie between given start and end nodes.

To filter, use the RUST_DEP_GRAPH_FILTER environment variable, which should look like one of the following:

source_filter     // nodes originating from source_filter
-> target_filter  // nodes that can reach target_filter
source_filter -> target_filter // nodes in between source_filter and target_filter

source_filter and target_filter are a &-separated list of strings. A node is considered to match a filter if all of those strings appear in its label. So, for example:

RUST_DEP_GRAPH_FILTER='-> TypeckTables'

would select the predecessors of all TypeckTables nodes. Usually though you want the TypeckTables node for some particular fn, so you might write:

RUST_DEP_GRAPH_FILTER='-> TypeckTables & bar'

This will select only the TypeckTables nodes for fns with bar in their name.

Perhaps you are finding that when you change foo you need to re-type-check bar, but you don't think you should have to. In that case, you might do:

RUST_DEP_GRAPH_FILTER='Hir&foo -> TypeckTables & bar'

This will dump out all the nodes that lead from Hir(foo) to TypeckTables(bar), from which you can (hopefully) see the source of the erroneous edge.

Tracking down incorrect edges

Sometimes, after you dump the dependency graph, you will find some path that should not exist, but you will not be quite sure how it came to be. When the compiler is built with debug assertions, it can help you track that down. Simply set the RUST_FORBID_DEP_GRAPH_EDGE environment variable to a filter. Every edge created in the dep-graph will be tested against that filter -- if it matches, a bug! is reported, so you can easily see the backtrace (RUST_BACKTRACE=1).

The syntax for these filters is the same as described in the previous section. However, note that this filter is applied to every edge and doesn't handle longer paths in the graph, unlike the previous section.

Example:

You find that there is a path from the Hir of foo to the type check of bar and you don't think there should be. You dump the dep-graph as described in the previous section and open dep-graph.txt to see something like:

Hir(foo) -> Collect(bar)
Collect(bar) -> TypeckTables(bar)

That first edge looks suspicious to you. So you set RUST_FORBID_DEP_GRAPH_EDGE to Hir&foo -> Collect&bar, re-run, and then observe the backtrace. Voila, bug fixed!