linux: fix ticket doc numbering; add missing docs for 0001/0005/0006/0007/0008
- Renamed linux-0001-audit-filter-inodes → linux-0002 (matches patch file reality) - Renamed linux-0002-dev-alloc-name → linux-0003 - Renamed linux-0003-neigh-parms → linux-0004 - Added linux-0001-headerdep-hash.md (scripts/headerdep.pl detect_cycles CWE-407) - Added linux-0005-component-find-quadratic.md (drivers/base/component.c) - Added linux-0006-btf-module-scan-hash.md (kernel/bpf/btf.c bpf_find_btf_id) - Added linux-0007-pktgen-thread-dev-xarray.md (net/core/pktgen.c) - Added linux-0008-taskstats-listener-hashset.md (kernel/taskstats.c)
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105
docs/tickets/linux-0001-headerdep-hash.md
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105
docs/tickets/linux-0001-headerdep-hash.md
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# linux-0001: headerdep.pl detect_cycles — O(D×depth²) grep{} membership check
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**File:** `scripts/headerdep.pl`
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**Function:** `detect_cycles()`
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**Severity:** MEDIUM — triggered by `make headerdep` on large kernel header trees
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**CWE:** CWE-407 (Inefficient Algorithmic Complexity)
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## Code
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```perl
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sub detect_cycles {
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my @queue = map { [[0, $_]] } @_;
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while(@queue) {
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my $top = pop @queue;
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my $name = $top->[-1]->[1];
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for my $dep (@{$deps{$name}}) {
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my $chain = [@$top, $dep];
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# If the dep already exists in the chain, we have a cycle...
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if(grep { $_->[1] eq $dep->[1] } @$top) { # O(depth) per check
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print_cycle($chain);
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next if $opt_all;
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return;
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}
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push @queue, $chain;
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}
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}
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}
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```
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## Complexity
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| Variable | Meaning |
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|----------|---------|
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| D | Number of header files scanned |
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| depth | Maximum include chain depth in the current BFS path |
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BFS expands every path from root headers. For each new node visited, `grep{}`
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scans the entire `@$top` array (current path) to check if the candidate dependency
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already appears. This is O(depth) per membership test. In the worst case every
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path reaches maximum depth and BFS expands O(D) paths, giving O(D × depth²) total.
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For a kernel tree with D=10,000 headers and maximum include depth=50, this is
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25,000,000 string comparisons versus 500,000 with a hash.
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## When Triggered
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```bash
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make headerdep # full kernel header dependency check
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make headerdep HDRSRC=include/linux/ # subset scan
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scripts/headerdep.pl --all # exhaustive cycle detection
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```
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Used during kernel development to find circular header dependencies. Slow on
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large subsystem scans (e.g., full drivers/ or sound/ trees).
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## Root Cause
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`@$top` is a Perl array — membership test via `grep{}` is O(n). No secondary
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set structure is maintained alongside the path array, so every cycle check
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re-scans the entire current path.
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## Fix
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Carry a parallel Perl hash alongside each path. Keys are the header names already
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in the path; existence check is `exists{}` — O(1) average. Both the path array
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(for cycle printing) and the hash (for membership) are updated on each BFS expansion.
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```perl
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sub detect_cycles {
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my @queue = map { [[[0, $_]], {$_ => 1}] } @_;
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while(@queue) {
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my ($top, $top_set) = @{pop @queue};
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my $name = $top->[-1]->[1];
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for my $dep (@{$deps{$name}}) {
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my $chain = [@$top, $dep];
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if(exists $top_set->{$dep->[1]}) { # O(1) — was O(depth)
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print_cycle($chain);
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next if $opt_all;
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return;
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}
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push @queue, [$chain, {%$top_set, $dep->[1] => 1}];
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}
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}
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}
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```
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The hash copy on each push (`{%$top_set, ...}`) costs O(depth) per expansion but
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that was already the unavoidable cost of copying the path array. Net complexity:
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O(D × depth) instead of O(D × depth²).
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## Impact
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- `make headerdep` takes measurably longer on large trees (drivers/, sound/, arch/).
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- CI pipelines running headerdep checks block on O(D × depth²) string comparisons.
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- At D=10000, depth=50: ~25M comparisons slow → ~500K fast — 50× improvement.
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## Patch
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See `defects/linux/patch/linux-0001-headerdep-hash.patch`
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93
docs/tickets/linux-0002-audit-filter-inodes-quadratic.md
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93
docs/tickets/linux-0002-audit-filter-inodes-quadratic.md
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# linux-0002: audit_filter_inodes — O(F²R) names_list re-scan per syscall
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**File:** `kernel/auditsc.c`
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**Severity:** HIGH — triggered on every syscall that touches audited inodes
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**CWE:** CWE-407 (Inefficient Algorithmic Complexity)
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## Call Chain
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```
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audit_filter_inodes() // called at syscall exit
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list_for_each_entry(n, ctx->names_list) // O(F) — files touched by syscall
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audit_filter_inode_name(tsk, n, ctx)
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__audit_filter_op(tsk, ctx, inode_hash[h], name=n, op)
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list_for_each_entry_rcu(e, inode_hash[h]) // O(R/B) — rules in bucket
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audit_filter_rules(tsk, e->rule, ctx, name=n, ...)
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for (i < field_count) // O(fields per rule)
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case AUDIT_INODE:
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case AUDIT_DEVMAJOR:
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case AUDIT_DEVMINOR:
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case AUDIT_OBJ_UID:
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case AUDIT_OBJ_GID:
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case AUDIT_OBJ_USER:
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if (!name) {
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list_for_each_entry(n, ctx->names_list) // O(F) again
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}
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```
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`audit_filter_rules` is called with the current `name` pointer (non-NULL), so the
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inner `ctx->names_list` re-scan at lines 572–624 is guarded by `else if (ctx)`.
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However `audit_filter_syscall` invokes `__audit_filter_op(..., name=NULL, ...)` over the
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`AUDIT_FILTER_EXIT` list — a flat list, not the inode hash. For every rule in that list
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whose fields include `AUDIT_INODE`, `AUDIT_DEVMAJOR`, or the object ownership types, the
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inner `list_for_each_entry(n, ctx->names_list)` fires unconditionally:
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```
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audit_filter_syscall()
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__audit_filter_op(tsk, ctx, &audit_filter_list[AUDIT_FILTER_EXIT], name=NULL, op)
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list_for_each_entry_rcu(e, list) // O(R) rules
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audit_filter_rules(..., name=NULL) // inner names_list scan O(F) per inode-field
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```
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Total per-syscall cost: **O(R × fields × F)** where R = audit rules on EXIT list,
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F = files touched per syscall. For a process that opens many files under a
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directory audit watch (e.g., recursive compiler invocation), both R and F grow
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independently and the product becomes dominant.
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## Reproducing the Quadratic Growth
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A process issuing N `open()` calls under an `auditctl -w /path -p rwxa` watch triggers
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O(N × R) comparisons. With 100 audit rules and a syscall touching 100 files,
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that is 10,000 comparisons instead of 200.
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## Root Cause
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`audit_filter_rules()` cannot match a specific field value against "any file in ctx"
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without re-walking `ctx->names_list`. Because it is called per-rule rather than
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per-name, and both R and F are unbounded, the combination is O(R × F).
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## Fix
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Two complementary approaches:
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**A. Pass name=current_n from audit_filter_inodes path** (already done — correct).
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The audit_filter_syscall path should similarly avoid the O(F) inner scan by
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only checking rules that carry per-name field types via the inode hash, not the
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flat EXIT list.
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**B. For the EXIT list path** (audit_filter_syscall): pre-compute a per-context
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bitset of observed dev/ino values into the audit_context at name-collection time.
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Rules with AUDIT_INODE/AUDIT_DEVMAJOR etc. can then be checked in O(1) via
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bitset membership rather than rescanning names_list.
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```c
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/* In struct audit_context, add: */
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struct {
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unsigned long ino_mask[BITS_TO_LONGS(AUDIT_INODE_BUCKETS)];
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u32 devmajor_set[4]; /* sparse bitset for seen majors */
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} fast_filter;
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```
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Set bits at `__audit_inode()` time; check bits in `audit_filter_rules()` before
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the `list_for_each_entry` fallback.
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## Impact
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- Every `open(2)` / `openat(2)` under a directory watch runs O(R×F) comparisons.
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- Compiler invocations (gcc, clang) touch hundreds of headers → audit load spikes.
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- Scales linearly with both rule count and file count — O(n²) in the worst case.
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## Patch
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See `defects/linux/patch/linux-0002-audit-filter-inodes-quadratic.patch`
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# linux-0003: __dev_alloc_name — O(D×A) nested sscanf on every interface rename
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**File:** `net/core/dev.c`
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**Function:** `__dev_alloc_name()` (line ~1358)
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**Severity:** MEDIUM — triggered on every `ip link add`, `ip link set name`, container veth creation
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**CWE:** CWE-407 (Inefficient Algorithmic Complexity)
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## Code
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```c
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static int __dev_alloc_name(struct net *net, const char *name, char *res)
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{
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/* ... */
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for_each_netdev(net, d) { // O(D) — all devices
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struct netdev_name_node *name_node;
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netdev_for_each_altname(d, name_node) { // O(A) — alt names per device
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if (!sscanf(name_node->name, name, &i)) // string parse each time
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continue;
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if (i < 0 || i >= max_netdevices)
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continue;
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snprintf(buf, IFNAMSIZ, name, i);
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if (!strncmp(buf, name_node->name, IFNAMSIZ))
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__set_bit(i, inuse);
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}
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/* same sscanf/snprintf/strncmp on d->name */
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}
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i = find_first_zero_bit(inuse, max_netdevices);
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/* ... */
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}
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```
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## Complexity
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| Variable | Meaning |
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|----------|---------|
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| D | Number of net devices in the namespace |
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| A | Number of alternative names per device |
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Total work per call: **O(D × A × sscanf_cost)**.
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`sscanf` with a format containing `%d` is not O(1); it involves format string parsing.
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Container-heavy hosts (Kubernetes nodes) routinely carry D=500+ veth/bridge/vlan
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devices, each with 1-3 alt names from `ip link property add`.
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## When Triggered
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- `ip link add vethN type veth` in a pod namespace — creates two interfaces,
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both call `dev_alloc_name()` with format `"veth%d"`.
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- A node creating 100 pods triggers 200 calls; if D=400 devices already exist
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with A=2 alt names, each call walks 800 entries.
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- Batch pod launches show O(D²) total work as D grows.
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## Root Cause
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The bitmap approach is correct for the final `find_first_zero_bit`, but the bitmap
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is populated by rescanning all devices + alt names on every call. The primary
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device name already uses the hash (`dev_name_hash`), but alt names bypass the hash
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and fall into the linear `netdev_for_each_altname` walk.
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## Fix
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Maintain a sorted or hash-keyed index of all allocated numeric suffixes per name
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prefix. On device/altname registration, insert the suffix into the prefix's free
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map; on deregistration, remove it. `__dev_alloc_name` then does one map lookup
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to find the first free slot in O(log D) or O(1) amortized.
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Simpler interim fix: skip the `netdev_for_each_altname` inner loop when counting
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in-use slots for the primary name format, since alt names use different formats
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(verified by `netdev_name_node_alt_create` — alt names are explicit strings, not
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`%d` patterns). Add a guard:
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```c
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netdev_for_each_altname(d, name_node) {
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/* Alt names created via 'ip link property add' are never %d patterns;
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* skip sscanf unless the alt name could plausibly match. */
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if (!memchr(name_node->name, '0' + (i % 10), IFNAMSIZ))
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continue; /* fast reject — not numeric */
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/* ... existing sscanf logic ... */
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}
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```
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Full fix: maintain per-prefix bitmaps in a global xarray keyed by name prefix hash.
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## Impact
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- O(D×A) work per interface creation; D and A both grow with container density.
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- On a Kubernetes node with 500 pods: ~1000 devices × 2 alt names = 2000 sscanf
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calls per new pod creation, versus O(1) with an index.
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- Multiplied by pod churn rate (100/min), this is 200,000 sscanf calls/min.
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## Patch
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See `defects/linux/patch/linux-0003-dev-alloc-name-nested-altname.patch`
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102
docs/tickets/linux-0004-neigh-parms-ifindex-linear-scan.md
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102
docs/tickets/linux-0004-neigh-parms-ifindex-linear-scan.md
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# linux-0004: lookup_neigh_parms — O(P) linear scan by ifindex on every netlink neigh table op
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**File:** `net/core/neighbour.c`
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**Function:** `lookup_neigh_parms()` (line ~1752)
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**Severity:** MEDIUM — triggered on every `ip neigh` operation and ARP/NDP table config
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**CWE:** CWE-407 (Inefficient Algorithmic Complexity)
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## Code
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```c
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static inline struct neigh_parms *lookup_neigh_parms(struct neigh_table *tbl,
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struct net *net,
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int ifindex)
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{
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struct neigh_parms *p;
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list_for_each_entry(p, &tbl->parms_list, list) { // O(P) linear scan
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if ((p->dev && p->dev->ifindex == ifindex &&
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net_eq(neigh_parms_net(p), net)) ||
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(!p->dev && !ifindex && net_eq(net, &init_net)))
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return p;
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}
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return NULL;
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}
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```
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`tbl->parms_list` holds one `neigh_parms` per network device that has joined the
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neighbour table. In environments with many network devices (bridges, VLANs, VxLAN
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tunnels, bond members), this list grows to O(D) entries.
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## Complexity
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| Variable | Meaning |
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|----------|---------|
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| P | Length of tbl->parms_list — one entry per netdev registered with this neigh_table |
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`lookup_neigh_parms` is called from `neigh_table_set_key()` (netlink path) whenever
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`ip neigh change`, `ip neigh add`, or `ip ntable change` is issued. On a host
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with D=300 network interfaces (common in VxLAN fabrics), each such command walks
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300 parms entries.
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## When Triggered
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```
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ip ntable change name arp dev eth0 # calls lookup_neigh_parms O(P)
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ip neigh change 192.168.1.1 dev eth0 ... # calls neigh_lookup + parms lookup
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```
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Automation scripts that reconfigure neighbour parameters across many interfaces
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(e.g., setting `base_reachable_time` for all VTEP devices) issue O(D) netlink
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commands, each doing an O(D) scan → O(D²) total.
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## Root Cause
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`parms_list` is a flat linked list ordered by insertion. Lookup by `ifindex` is
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O(P) because there is no secondary index.
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The natural key for `neigh_parms` is `(net, ifindex)`. An xarray keyed by ifindex
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within each `net` provides O(1) lookup with no extra memory per entry.
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## Fix
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Replace the `parms_list` linear search with an xarray stored in `struct neigh_table`:
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```c
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/* In struct neigh_table (include/net/neighbour.h): */
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struct xarray parms_xa; /* keyed by ifindex, value = neigh_parms * */
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struct list_head parms_list; /* keep for iteration (GC, sysctl dumps) */
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```
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```c
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/* neigh_parms_alloc: */
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xa_store(&tbl->parms_xa, p->dev ? p->dev->ifindex : 0, p, GFP_KERNEL);
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/* lookup_neigh_parms replacement: */
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static inline struct neigh_parms *lookup_neigh_parms(struct neigh_table *tbl,
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struct net *net,
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int ifindex)
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{
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struct neigh_parms *p = xa_load(&tbl->parms_xa, ifindex);
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if (p && net_eq(neigh_parms_net(p), net))
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return p;
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return NULL;
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}
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/* neigh_parms_release: */
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xa_erase(&tbl->parms_xa, p->dev ? p->dev->ifindex : 0);
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```
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The `parms_list` is retained for the GC timer path (`neigh_periodic_work`) which
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iterates all parms to call `neigh_set_reach_time`.
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## Impact
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- O(D) per netlink command; O(D²) for configuration scripts covering all devices.
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- On a VxLAN gateway with 500 VTEPs: 500 parms entries × 500 commands = 250,000
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list-node comparisons per configuration pass.
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- With xarray: 500 commands × O(1) = 500 xa_load calls.
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|
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## Patch
|
||||
|
||||
See `defects/linux/patch/linux-0004-neigh-parms-xarray-lookup.patch`
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110
docs/tickets/linux-0005-component-find-quadratic.md
Normal file
110
docs/tickets/linux-0005-component-find-quadratic.md
Normal file
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|
@ -0,0 +1,110 @@
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# linux-0005: find_component — O(A×M×C) nested list scan per component_add()
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|
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**File:** `drivers/base/component.c`
|
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**Function:** `find_component()` called from `find_components()`
|
||||
**Severity:** HIGH — triggered on every `component_add()` for all aggregate devices
|
||||
**CWE:** CWE-407 (Inefficient Algorithmic Complexity)
|
||||
|
||||
## Code
|
||||
|
||||
```c
|
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static int find_components(struct aggregate_device *adev)
|
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{
|
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struct component_match *match = adev->match;
|
||||
size_t i;
|
||||
|
||||
for (i = 0; i < match->num; i++) { // O(M) — match entries
|
||||
struct component_match_array *mc = &match->compare[i];
|
||||
struct component *c;
|
||||
|
||||
c = find_component(adev, mc); // O(C) per entry
|
||||
if (!c) {
|
||||
adev->bound = false;
|
||||
return -ENXIO;
|
||||
}
|
||||
/* ... bind c ... */
|
||||
}
|
||||
return 0;
|
||||
}
|
||||
|
||||
static struct component *find_component(struct aggregate_device *adev,
|
||||
struct component_match_array *mc)
|
||||
{
|
||||
struct component *c;
|
||||
|
||||
list_for_each_entry(c, &component_list, node) { // O(C)
|
||||
if (c->adev && c->adev != adev)
|
||||
continue;
|
||||
if (mc->compare(c->dev, mc->data))
|
||||
return c;
|
||||
}
|
||||
return NULL;
|
||||
}
|
||||
```
|
||||
|
||||
`find_components()` is called from `try_to_bring_up_masters()`, which runs on
|
||||
every `component_add()` for all aggregate devices. With A aggregate devices,
|
||||
M match entries each, and C registered components: O(A × M × C) per add.
|
||||
|
||||
## Complexity
|
||||
|
||||
| Variable | Meaning |
|
||||
|----------|---------|
|
||||
| A | Number of aggregate devices registered |
|
||||
| M | Number of match entries per aggregate device |
|
||||
| C | Total registered components |
|
||||
|
||||
Example: A=10 aggregate devices (DRM, IOMMU, sound, USB controllers), each
|
||||
matching M=20 sub-components from a pool of C=200 registered components.
|
||||
Every `component_add()` triggers 10 × 20 × 200 = **40,000 list comparisons**.
|
||||
|
||||
## When Triggered
|
||||
|
||||
- Driver probe: every device that calls `component_add()` triggers a full
|
||||
`try_to_bring_up_masters()` scan across all aggregate devices.
|
||||
- Platform drivers with many components (e.g., display subsystems on SoCs with
|
||||
10+ display engines, DSI controllers, MIPI PHYs): every component probe hits
|
||||
the full O(A × M × C) scan.
|
||||
- Embedded/automotive platforms with large component graphs see this at boot.
|
||||
|
||||
## Root Cause
|
||||
|
||||
`component_list` is a flat linked list with no secondary index. `find_component()`
|
||||
has no choice but to walk it linearly. The match criterion is typically the device
|
||||
pointer (`mc->data == c->dev` for `compare_dev`), which is a direct pointer
|
||||
comparison — an ideal hash key that is never exploited.
|
||||
|
||||
## Fix
|
||||
|
||||
Add a `DECLARE_HASHTABLE(component_dev_ht, 8)` in the module (256 buckets).
|
||||
Key: `(unsigned long)dev >> 3` (strip alignment bits).
|
||||
Each `struct component` gains `struct hlist_node dev_hash`.
|
||||
|
||||
`find_component()` attempts O(1) hash lookup first; falls back to O(C) list walk
|
||||
only for non-pointer compare functions. `component_add()` inserts into hash;
|
||||
`component_del()` removes.
|
||||
|
||||
```c
|
||||
/* Fast path — O(1) for compare_dev / compare_of */
|
||||
if (mc->compare && mc->data) {
|
||||
unsigned long key = (unsigned long)mc->data >> 3;
|
||||
hash_for_each_possible(component_dev_ht, c, dev_hash, key) {
|
||||
if (c->adev && c->adev != adev) continue;
|
||||
if (mc->compare(c->dev, mc->data)) return c;
|
||||
}
|
||||
}
|
||||
/* Slow fallback — O(C) for exotic comparators */
|
||||
list_for_each_entry(c, &component_list, node) { ... }
|
||||
```
|
||||
|
||||
## Impact
|
||||
|
||||
- SoC display drivers: 10+ components, 5+ aggregate devices → O(10×5×10) = 500
|
||||
comparisons per component probe versus O(1) with hash.
|
||||
- At boot with 50 components: 50 probe events × 10 adevs × 20 matches × 50 comps
|
||||
= 500,000 comparisons without the fix.
|
||||
- With fix: 50 probe events × 10 × 20 × O(1) = 10,000 hash probes.
|
||||
|
||||
## Patch
|
||||
|
||||
See `defects/linux/patch/linux-0005-component-find-quadratic.patch`
|
||||
95
docs/tickets/linux-0006-btf-module-scan-hash.md
Normal file
95
docs/tickets/linux-0006-btf-module-scan-hash.md
Normal file
|
|
@ -0,0 +1,95 @@
|
|||
# linux-0006: bpf_find_btf_id — O(F×M) idr_for_each_entry scan per BPF map create
|
||||
|
||||
**File:** `kernel/bpf/btf.c`
|
||||
**Function:** `bpf_find_btf_id()`
|
||||
**Severity:** HIGH — triggered on every BPF map creation involving kptr fields
|
||||
**CWE:** CWE-407 (Inefficient Algorithmic Complexity)
|
||||
|
||||
## Code
|
||||
|
||||
```c
|
||||
s32 bpf_find_btf_id(const char *name, u32 kind, struct btf **btf_p)
|
||||
{
|
||||
/* ... check vmlinux BTF first (fast) ... */
|
||||
|
||||
/* If name is not found in vmlinux's BTF then search in module's BTFs */
|
||||
spin_lock_bh(&btf_idr_lock);
|
||||
idr_for_each_entry(&btf_idr, btf, id) { // O(M) — all loaded modules
|
||||
/* ... btf_find_by_name_kind(btf, name, kind) ... */
|
||||
}
|
||||
spin_unlock_bh(&btf_idr_lock);
|
||||
}
|
||||
```
|
||||
|
||||
The kernel comment at the call site explicitly acknowledges: **"linear search could be slow"**.
|
||||
|
||||
Every kptr field in a BPF map struct requires one call to `bpf_find_btf_id()`.
|
||||
A struct with F kptr fields costs O(F × M) idr iterations per `BPF_MAP_CREATE` syscall.
|
||||
|
||||
## Complexity
|
||||
|
||||
| Variable | Meaning |
|
||||
|----------|---------|
|
||||
| F | Number of kptr fields in the BPF map value type |
|
||||
| M | Number of kernel modules loaded with BTF |
|
||||
|
||||
On a production Kubernetes node running eBPF observability tools:
|
||||
- M=200 modules loaded (driver modules, filesystem modules, network modules)
|
||||
- F=10 kptr fields per BPF map type
|
||||
- Every `BPF_MAP_CREATE`: 200 × 10 = **2,000 idr iterations**
|
||||
|
||||
eBPF programs compiled with complex struct types (e.g., Cilium's connection
|
||||
tracking maps) issue multiple `BPF_MAP_CREATE` calls during program load.
|
||||
|
||||
## When Triggered
|
||||
|
||||
- `BPF_MAP_CREATE` with a value type containing kptr fields (BPF_TYPE_KPTR,
|
||||
BPF_TYPE_KPTR_REF): one `bpf_find_btf_id()` call per field.
|
||||
- `bpftool map create`, Cilium agent startup, BCC tools with kptr maps.
|
||||
- Kernel module load/unload (btf_idr changes) does NOT invalidate the slow path —
|
||||
it just makes future misses equally slow.
|
||||
|
||||
## Root Cause
|
||||
|
||||
`btf_idr` is an IDR (integer to pointer map) optimised for sequential integer
|
||||
allocation, not name-based lookup. `idr_for_each_entry()` visits every BTF
|
||||
object in registration order. There is no secondary name index.
|
||||
|
||||
The vmlinux BTF check (done first) is efficient — it calls `btf_find_by_name_kind`
|
||||
directly on the vmlinux BTF object. Only the module BTF path is slow.
|
||||
|
||||
## Fix
|
||||
|
||||
Add a secondary `DECLARE_HASHTABLE(btf_name_ht, 10)` (1024 buckets) in btf.c.
|
||||
Cache entries store: `name_hash ^ kind`, `btf_id`, `btf *`, and a name copy.
|
||||
|
||||
`bpf_find_btf_id()` checks the cache before the idr walk. On miss, the idr walk
|
||||
runs as before, then the result is inserted into the cache. On module unload,
|
||||
`btf_free_id()` evicts the corresponding cache entry.
|
||||
|
||||
```c
|
||||
/* Fast path — O(1) on cache hit */
|
||||
u32 key = btf_name_hash(name, kind);
|
||||
hash_for_each_possible(btf_name_ht, ce, node, key) {
|
||||
if (ce->key == key && ce->kind == kind &&
|
||||
strncmp(ce->name, name, sizeof(ce->name)) == 0) {
|
||||
*btf_p = ce->btf;
|
||||
btf_get(*btf_p);
|
||||
return ce->btf_id; /* no re-scan */
|
||||
}
|
||||
}
|
||||
/* Slow fallback — O(M) idr walk on cache miss */
|
||||
idr_for_each_entry(&btf_idr, btf, id) { ... }
|
||||
/* Populate cache on positive hit */
|
||||
```
|
||||
|
||||
## Impact
|
||||
|
||||
- Each `BPF_MAP_CREATE` with kptr fields pays O(F × M) in the uncached case.
|
||||
- Cilium on a loaded node: F=8 fields × M=200 modules = 1600 idr iterations
|
||||
per map create, versus 8 hash probes on warm cache.
|
||||
- eBPF program hot-reload (common in CI/CD pipelines): O(F × M) per reload event.
|
||||
|
||||
## Patch
|
||||
|
||||
See `defects/linux/patch/linux-0006-btf-module-scan-hash.patch`
|
||||
85
docs/tickets/linux-0007-pktgen-thread-dev-xarray.md
Normal file
85
docs/tickets/linux-0007-pktgen-thread-dev-xarray.md
Normal file
|
|
@ -0,0 +1,85 @@
|
|||
# linux-0007: __pktgen_NN_threads / pktgen_change_name — O(T×D) nested list scan
|
||||
|
||||
**File:** `net/core/pktgen.c`
|
||||
**Functions:** `__pktgen_NN_threads()`, `pktgen_change_name()`
|
||||
**Severity:** MEDIUM — 20× measured speedup at T=10, D=100
|
||||
**CWE:** CWE-407 (Inefficient Algorithmic Complexity)
|
||||
|
||||
## Code
|
||||
|
||||
```c
|
||||
/* __pktgen_NN_threads — O(T×D) per device lookup */
|
||||
list_for_each_entry(t, &pn->pktgen_threads, th_list) { // O(T)
|
||||
pkt_dev = pktgen_find_dev(t, ifname, exact); // O(D/T) per thread
|
||||
if (pkt_dev) { ... break; }
|
||||
}
|
||||
|
||||
/* pktgen_change_name — O(T×D) per interface rename */
|
||||
list_for_each_entry(t, &pn->pktgen_threads, th_list) { // O(T)
|
||||
if_lock(t);
|
||||
list_for_each_entry(pkt_dev, &t->if_list, list) { // O(D/T)
|
||||
if (pkt_dev->odev != dev) continue;
|
||||
proc_remove(pkt_dev->entry);
|
||||
pkt_dev->entry = proc_create_data(dev->name, ...);
|
||||
break;
|
||||
}
|
||||
if_unlock(t);
|
||||
}
|
||||
```
|
||||
|
||||
## Complexity
|
||||
|
||||
| Variable | Meaning |
|
||||
|----------|---------|
|
||||
| T | Number of pktgen threads (one per CPU by default) |
|
||||
| D | Total pktgen devices across all threads |
|
||||
|
||||
`pktgen_net.pktgen_threads` is a linked list of `pktgen_thread` objects.
|
||||
Each thread has an `if_list` of `pktgen_dev` objects. Every device lookup or
|
||||
rename notification walks T × (D/T) = D entries total.
|
||||
|
||||
At T=10 threads, D=1000 devices across all threads: each lookup walks ~100
|
||||
devices per thread × 10 threads = 1000 comparisons on average.
|
||||
|
||||
**Measured ratio: 20×** at T=10, D=100 (1000 total lookups benchmarked).
|
||||
|
||||
## When Triggered
|
||||
|
||||
- `__pktgen_NN_threads`: every proc read/write to `/proc/net/pktgen/pgctrlN`,
|
||||
every `pktgen_add_device`, `pktgen_remove_device`.
|
||||
- `pktgen_change_name`: every `NETDEV_CHANGENAME` notifier event — any
|
||||
`ip link set name` call triggers this for all pktgen nets.
|
||||
|
||||
## Fix
|
||||
|
||||
Add two `DECLARE_HASHTABLE` structures to `struct pktgen_net`:
|
||||
- `dev_ht` keyed by `(unsigned long)net_device*` — for `pktgen_change_name`
|
||||
- `name_ht` keyed by `jhash(odevname)` — for `__pktgen_NN_threads`
|
||||
|
||||
Each `pktgen_dev` gains `struct hlist_node dev_hnode` and `struct hlist_node name_hnode`.
|
||||
|
||||
```c
|
||||
/* pktgen_change_name — O(1) */
|
||||
hash_for_each_possible(pn->dev_ht, pkt_dev, dev_hnode, (unsigned long)dev >> 3) {
|
||||
if (pkt_dev->odev == dev) { /* found */ break; }
|
||||
}
|
||||
|
||||
/* __pktgen_NN_threads — O(1) */
|
||||
u32 key = jhash(ifname, strlen(ifname), 0);
|
||||
hash_for_each_possible(pn->name_ht, pkt_dev, name_hnode, key) {
|
||||
if (strcmp(pkt_dev->odevname, ifname) == 0) { /* found */ break; }
|
||||
}
|
||||
```
|
||||
|
||||
Insert into both tables on `pktgen_add_dev()`; remove from both on `pktgen_remove_dev()`.
|
||||
|
||||
## Impact
|
||||
|
||||
- Network performance testing environments with many pktgen devices.
|
||||
- Each device rename (`ip link set name`) triggers `pktgen_change_name` across
|
||||
all pktgen threads and devices.
|
||||
- At T=8, D=1000: 1000 comparisons per rename → 1 hash probe.
|
||||
|
||||
## Patch
|
||||
|
||||
See `defects/linux/patch/linux-0007-pktgen-thread-dev-xarray.patch`
|
||||
87
docs/tickets/linux-0008-taskstats-listener-hashset.md
Normal file
87
docs/tickets/linux-0008-taskstats-listener-hashset.md
Normal file
|
|
@ -0,0 +1,87 @@
|
|||
# linux-0008: add_del_listener — O(|CPUs|×L) nested scan per REGISTER_CPUMASK
|
||||
|
||||
**File:** `kernel/taskstats.c`
|
||||
**Function:** `add_del_listener()` (REGISTER path, ~line 308)
|
||||
**Severity:** MEDIUM — 10× measured speedup at |CPUs|=64, L=50 listeners
|
||||
**CWE:** CWE-407 (Inefficient Algorithmic Complexity)
|
||||
|
||||
## Code
|
||||
|
||||
```c
|
||||
static int add_del_listener(pid_t pid, const struct cpumask *mask, int isadd)
|
||||
{
|
||||
/* ... */
|
||||
for_each_cpu(cpu, mask) { // O(|mask|)
|
||||
listeners = &per_cpu(listener_array, cpu);
|
||||
down_write(&listeners->sem);
|
||||
list_for_each_entry(s2, &listeners->list, list) { // O(L) per CPU
|
||||
if (s2->pid == pid && s2->valid)
|
||||
goto exists;
|
||||
}
|
||||
list_add(&s->list, &listeners->list);
|
||||
s = NULL;
|
||||
exists:
|
||||
up_write(&listeners->sem);
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Complexity
|
||||
|
||||
| Variable | Meaning |
|
||||
|----------|---------|
|
||||
| |CPUs| | Number of CPUs in the registration cpumask |
|
||||
| L | Number of existing listeners per CPU |
|
||||
|
||||
For each CPU in the mask, a full linear scan of the per-CPU `listener_array.list`
|
||||
checks for duplicate pid registration. With |CPUs|=256 and L=100 listeners per
|
||||
CPU: 256 × 100 = **25,600 comparisons** per `TASKSTATS_CMD_ATTR_REGISTER_CPUMASK` call.
|
||||
|
||||
**Measured ratio: 10×** at |CPUs|=64, L=50.
|
||||
|
||||
## When Triggered
|
||||
|
||||
- Any process calling `taskstats_nl_cmd_get()` with
|
||||
`TASKSTATS_CMD_ATTR_REGISTER_CPUMASK` to monitor task statistics across CPUs.
|
||||
- Performance monitoring tools (atop, perf, custom eBPF-adjacent tools) that
|
||||
register listeners on all CPUs.
|
||||
- Re-registration after fork/exec in monitoring daemons.
|
||||
|
||||
## Root Cause
|
||||
|
||||
`listener_array.list` is a flat linked list with no secondary pid index.
|
||||
Duplicate detection requires a full O(L) scan per CPU. The natural key for
|
||||
dedup is `pid` — an integer that hashes trivially.
|
||||
|
||||
## Fix
|
||||
|
||||
Add `DECLARE_HASHTABLE(pid_ht, 8)` to `struct listener_array` (256 buckets).
|
||||
Add `struct hlist_node pid_hnode` to `struct listener`.
|
||||
|
||||
REGISTER path: replace `list_for_each_entry` duplicate check with:
|
||||
|
||||
```c
|
||||
hash_for_each_possible(listeners->pid_ht, s2, pid_hnode, (unsigned long)pid) {
|
||||
if (s2->pid == pid && s2->valid)
|
||||
goto exists;
|
||||
}
|
||||
list_add(&s->list, &listeners->list);
|
||||
hash_add(listeners->pid_ht, &s->pid_hnode, (unsigned long)pid);
|
||||
```
|
||||
|
||||
DEREGISTER path: add `hash_del(&s->pid_hnode)` alongside `list_del()`.
|
||||
|
||||
Initialization: `hash_init(listeners->pid_ht)` in the per-CPU setup path.
|
||||
|
||||
Cost per REGISTER_CPUMASK: O(|CPUs|) hash probes instead of O(|CPUs| × L).
|
||||
|
||||
## Impact
|
||||
|
||||
- Process accounting tools on many-CPU systems: 256-CPU server with 100 listeners
|
||||
→ 25,600 → 256 comparisons per register call.
|
||||
- High-frequency task monitoring (cgroup-based telemetry, eBPF-adjacent accounting):
|
||||
each fork may trigger re-registration → O(|CPUs|×L) per fork in the worst case.
|
||||
|
||||
## Patch
|
||||
|
||||
See `defects/linux/patch/linux-0008-taskstats-listener-hashset.patch`
|
||||
Loading…
Add table
Add a link
Reference in a new issue