java-topology/docs/tickets/grafana-0001-dfs-visited-array-includes-quadratic.md
russell@unturf.com 9934133dcf whitepaper: 312 sites / 151 ecosystems — wave2+3 defect tables and PDF rebuild
Add 88 new defect entries to HIGH and MEDIUM tables:
  HIGH: mysql-0001/0002, mariadb-0001, redis-0001/0002, valkey-0001/0002, openvpn-0001,
        vlc-0001, prometheus-0001, otel-collector-0001, cockroachdb-0001..0004,
        tidb-0001..0008, kubernetes-0001/0002, go-0001, kotlin-0002, scala-0001,
        allegro5-0001, sdl2-0001, grafana-0001, clickhouse-0001, duckdb-0001,
        mongodb-0001, envoy-0001, istio-0001, cilium-0001, linkerd2-0001,
        linux-0001/0002/0003, tor-0002/0003, curl-0001, julia-0001, lua-0001,
        perl5-0001, nats-0001, spring-0003/0004, tomcat-0001, onos-0002, odl-0002

  MEDIUM: helm-0001, mariadb-0002, openssl-0001/0002, memcached-0001,
          cassandra-0001..0004, flink-0001, storm-0001/0002, zookeeper-0001..0003,
          pip-0001, gradle-0001, nginx-0001, haproxy-0001, caddy-0001, varnish-0001,
          ffmpeg-0001, gstreamer-0001, raylib-0001, love2d-0001, php-0001/0002,
          r-source-0001, cpython-0002, ruby-0001, rabbitmq-0003/0004, activemq-0001,
          ovs-0001, onos-0003, odl-0002, jetty-0001

PDF: 976K
2026-03-27 15:23:43 -04:00

1.8 KiB

grafana-0001: dfs() visited-array Array.includes — O(n²) on time-range refresh

Target: Grafana (public/app/features/variables) File: public/app/features/variables/state/actions.ts CWE: CWE-407 — Inefficient Algorithmic Complexity Severity: MEDIUM Status: PATCHED

Description

dfs() and getVariablesThatNeedRefreshNew() track visited graph nodes using a plain string[] array (visitedDfs). Each visit check calls visited.includes(node.name) which is O(V) where V = visited count. The outer allVariables.forEach iterates N variables, and inside dfs() every outputEdges.forEach call also performs !visited.includes(child.name) — making the total cost O(N²) in the number of dashboard variables.

This code runs on every time-range change event for every dashboard that uses query variables with onTimeRangeChanged refresh. Dashboards with 50+ variables (common in large Grafana deployments) experience quadratic work per time-range update.

// actions.ts  line 666-671
const dfs = (node, visited: string[], variables, variablesRefreshTimeRange) => {
  if (!visited.includes(node.name)) {     // O(V) — called O(N) times → O(N²)
    visited.push(node.name);
  }
  node.outputEdges.forEach((e) => {
    if (child && !visited.includes(child.name)) {   // another O(V) per edge

And the outer loop (line 728):

if (visitedDfs.includes(v.name)) {   // O(V) inside forEach over allVariables → O(N²)

Fix

Replace visited: string[] with visited: Set<string>. All .includes() calls become .has() — O(1). .push() becomes .add(). Total DFS cost drops to O(N + E) where E = number of variable dependency edges.

Patch

defects/grafana/patch/grafana-0001.patch

Unit Test

defects/grafana/unit/GrafanaTest.java