chore(build-image): Simplify wrapper build & remove layer grouping

Simplifies the wrapper script used to invoke Nix builds from Nixery to
just contain the essentials, since the layer grouping logic is moving
into the server itself.

1 files changed, 0 insertions, 352 deletions

diff --git a/tools/nixery/build-image/group-layers.go b/tools/nixery/build-image/group-layers.go
deleted file mode 100644
index 93f2e520ace9..000000000000
--- a/tools/nixery/build-image/group-layers.go
+++ /dev/null
@@ -1,352 +0,0 @@
-// This program reads an export reference graph (i.e. a graph representing the
-// runtime dependencies of a set of derivations) created by Nix and groups them
-// in a way that is likely to match the grouping for other derivation sets with
-// overlapping dependencies.
-//
-// This is used to determine which derivations to include in which layers of a
-// container image.
-//
-// # Inputs
-//
-// * a graph of Nix runtime dependencies, generated via exportReferenceGraph
-// * a file containing absolute popularity values of packages in the
-//   Nix package set (in the form of a direct reference count)
-// * a maximum number of layers to allocate for the image (the "layer budget")
-//
-// # Algorithm
-//
-// It works by first creating a (directed) dependency tree:
-//
-// img (root node)
-// │
-// ├───> A ─────┐
-// │            v
-// ├───> B ───> E
-// │            ^
-// ├───> C ─────┘
-// │     │
-// │     v
-// └───> D ───> F
-//       │
-//       └────> G
-//
-// Each node (i.e. package) is then visited to determine how important
-// it is to separate this node into its own layer, specifically:
-//
-// 1. Is the node within a certain threshold percentile of absolute
-//    popularity within all of nixpkgs? (e.g. `glibc`, `openssl`)
-//
-// 2. Is the node's runtime closure above a threshold size? (e.g. 100MB)
-//
-// In either case, a bit is flipped for this node representing each
-// condition and an edge to it is inserted directly from the image
-// root, if it does not already exist.
-//
-// For the rest of the example we assume 'G' is above the threshold
-// size and 'E' is popular.
-//
-// This tree is then transformed into a dominator tree:
-//
-// img
-// │
-// ├───> A
-// ├───> B
-// ├───> C
-// ├───> E
-// ├───> D ───> F
-// └───> G
-//
-// Specifically this means that the paths to A, B, C, E, G, and D
-// always pass through the root (i.e. are dominated by it), whilst F
-// is dominated by D (all paths go through it).
-//
-// The top-level subtrees are considered as the initially selected
-// layers.
-//
-// If the list of layers fits within the layer budget, it is returned.
-//
-// Otherwise, a merge rating is calculated for each layer. This is the
-// product of the layer's total size and its root node's popularity.
-//
-// Layers are then merged in ascending order of merge ratings until
-// they fit into the layer budget.
-//
-// # Threshold values
-//
-// Threshold values for the partitioning conditions mentioned above
-// have not yet been determined, but we will make a good first guess
-// based on gut feeling and proceed to measure their impact on cache
-// hits/misses.
-//
-// # Example
-//
-// Using the logic described above as well as the example presented in
-// the introduction, this program would create the following layer
-// groupings (assuming no additional partitioning):
-//
-// Layer budget: 1
-// Layers: { A, B, C, D, E, F, G }
-//
-// Layer budget: 2
-// Layers: { G }, { A, B, C, D, E, F }
-//
-// Layer budget: 3
-// Layers: { G }, { E }, { A, B, C, D, F }
-//
-// Layer budget: 4
-// Layers: { G }, { E }, { D, F }, { A, B, C }
-//
-// ...
-//
-// Layer budget: 10
-// Layers: { E }, { D, F }, { A }, { B }, { C }
-package main
-
-import (
-	"encoding/json"
-	"flag"
-	"io/ioutil"
-	"log"
-	"regexp"
-	"sort"
-
-	"gonum.org/v1/gonum/graph/flow"
-	"gonum.org/v1/gonum/graph/simple"
-)
-
-// closureGraph represents the structured attributes Nix outputs when asking it
-// for the exportReferencesGraph of a list of derivations.
-type exportReferences struct {
-	References struct {
-		Graph []string `json:"graph"`
-	} `json:"exportReferencesGraph"`
-
-	Graph []struct {
-		Size uint64   `json:"closureSize"`
-		Path string   `json:"path"`
-		Refs []string `json:"references"`
-	} `json:"graph"`
-}
-
-// Popularity data for each Nix package that was calculated in advance.
-//
-// Popularity is a number from 1-100 that represents the
-// popularity percentile in which this package resides inside
-// of the nixpkgs tree.
-type pkgsMetadata = map[string]int
-
-// layer represents the data returned for each layer that Nix should
-// build for the container image.
-type layer struct {
-	Contents    []string `json:"contents"`
-	mergeRating uint64
-}
-
-func (a layer) merge(b layer) layer {
-	a.Contents = append(a.Contents, b.Contents...)
-	a.mergeRating += b.mergeRating
-	return a
-}
-
-// closure as pointed to by the graph nodes.
-type closure struct {
-	GraphID    int64
-	Path       string
-	Size       uint64
-	Refs       []string
-	Popularity int
-}
-
-func (c *closure) ID() int64 {
-	return c.GraphID
-}
-
-var nixRegexp = regexp.MustCompile(`^/nix/store/[a-z0-9]+-`)
-
-func (c *closure) DOTID() string {
-	return nixRegexp.ReplaceAllString(c.Path, "")
-}
-
-// bigOrPopular checks whether this closure should be considered for
-// separation into its own layer, even if it would otherwise only
-// appear in a subtree of the dominator tree.
-func (c *closure) bigOrPopular() bool {
-	const sizeThreshold = 100 * 1000000 // 100MB
-
-	if c.Size > sizeThreshold {
-		return true
-	}
-
-	// The threshold value used here is currently roughly the
-	// minimum number of references that only 1% of packages in
-	// the entire package set have.
-	//
-	// TODO(tazjin): Do this more elegantly by calculating
-	// percentiles for each package and using those instead.
-	if c.Popularity >= 1000 {
-		return true
-	}
-
-	return false
-}
-
-func insertEdges(graph *simple.DirectedGraph, cmap *map[string]*closure, node *closure) {
-	// Big or popular nodes get a separate edge from the top to
-	// flag them for their own layer.
-	if node.bigOrPopular() && !graph.HasEdgeFromTo(0, node.ID()) {
-		edge := graph.NewEdge(graph.Node(0), node)
-		graph.SetEdge(edge)
-	}
-
-	for _, c := range node.Refs {
-		// Nix adds a self reference to each node, which
-		// should not be inserted.
-		if c != node.Path {
-			edge := graph.NewEdge(node, (*cmap)[c])
-			graph.SetEdge(edge)
-		}
-	}
-}
-
-// Create a graph structure from the references supplied by Nix.
-func buildGraph(refs *exportReferences, pop *pkgsMetadata) *simple.DirectedGraph {
-	cmap := make(map[string]*closure)
-	graph := simple.NewDirectedGraph()
-
-	// Insert all closures into the graph, as well as a fake root
-	// closure which serves as the top of the tree.
-	//
-	// A map from store paths to IDs is kept to actually insert
-	// edges below.
-	root := &closure{
-		GraphID: 0,
-		Path:    "image_root",
-	}
-	graph.AddNode(root)
-
-	for idx, c := range refs.Graph {
-		node := &closure{
-			GraphID: int64(idx + 1), // inc because of root node
-			Path:    c.Path,
-			Size:    c.Size,
-			Refs:    c.Refs,
-		}
-
-		if p, ok := (*pop)[node.DOTID()]; ok {
-			node.Popularity = p
-		} else {
-			node.Popularity = 1
-		}
-
-		graph.AddNode(node)
-		cmap[c.Path] = node
-	}
-
-	// Insert the top-level closures with edges from the root
-	// node, then insert all edges for each closure.
-	for _, p := range refs.References.Graph {
-		edge := graph.NewEdge(root, cmap[p])
-		graph.SetEdge(edge)
-	}
-
-	for _, c := range cmap {
-		insertEdges(graph, &cmap, c)
-	}
-
-	return graph
-}
-
-// Extracts a subgraph starting at the specified root from the
-// dominator tree. The subgraph is converted into a flat list of
-// layers, each containing the store paths and merge rating.
-func groupLayer(dt *flow.DominatorTree, root *closure) layer {
-	size := root.Size
-	contents := []string{root.Path}
-	children := dt.DominatedBy(root.ID())
-
-	// This iteration does not use 'range' because the list being
-	// iterated is modified during the iteration (yes, I'm sorry).
-	for i := 0; i < len(children); i++ {
-		child := children[i].(*closure)
-		size += child.Size
-		contents = append(contents, child.Path)
-		children = append(children, dt.DominatedBy(child.ID())...)
-	}
-
-	return layer{
-		Contents: contents,
-		// TODO(tazjin): The point of this is to factor in
-		// both the size and the popularity when making merge
-		// decisions, but there might be a smarter way to do
-		// it than a plain multiplication.
-		mergeRating: uint64(root.Popularity) * size,
-	}
-}
-
-// Calculate the dominator tree of the entire package set and group
-// each top-level subtree into a layer.
-//
-// Layers are merged together until they fit into the layer budget,
-// based on their merge rating.
-func dominate(budget int, graph *simple.DirectedGraph) []layer {
-	dt := flow.Dominators(graph.Node(0), graph)
-
-	var layers []layer
-	for _, n := range dt.DominatedBy(dt.Root().ID()) {
-		layers = append(layers, groupLayer(&dt, n.(*closure)))
-	}
-
-	sort.Slice(layers, func(i, j int) bool {
-		return layers[i].mergeRating < layers[j].mergeRating
-	})
-
-	if len(layers) > budget {
-		log.Printf("Ideal image has %v layers, but budget is %v\n", len(layers), budget)
-	}
-
-	for len(layers) > budget {
-		merged := layers[0].merge(layers[1])
-		layers[1] = merged
-		layers = layers[1:]
-	}
-
-	return layers
-}
-
-func main() {
-	graphFile := flag.String("graph", ".attrs.json", "Input file containing graph")
-	popFile := flag.String("pop", "popularity.json", "Package popularity data")
-	outFile := flag.String("out", "layers.json", "File to write layers to")
-	layerBudget := flag.Int("budget", 94, "Total layer budget available")
-	flag.Parse()
-
-	// Parse graph data
-	file, err := ioutil.ReadFile(*graphFile)
-	if err != nil {
-		log.Fatalf("Failed to load input: %s\n", err)
-	}
-
-	var refs exportReferences
-	err = json.Unmarshal(file, &refs)
-	if err != nil {
-		log.Fatalf("Failed to deserialise input: %s\n", err)
-	}
-
-	// Parse popularity data
-	popBytes, err := ioutil.ReadFile(*popFile)
-	if err != nil {
-		log.Fatalf("Failed to load input: %s\n", err)
-	}
-
-	var pop pkgsMetadata
-	err = json.Unmarshal(popBytes, &pop)
-	if err != nil {
-		log.Fatalf("Failed to deserialise input: %s\n", err)
-	}
-
-	graph := buildGraph(&refs, &pop)
-	layers := dominate(*layerBudget, graph)
-
-	j, _ := json.Marshal(layers)
-	ioutil.WriteFile(*outFile, j, 0644)
-}