GitHub user PG1204 edited a comment on the discussion: Task ideas for the dkNet-AI · Apache Texera Agent Hackathon
Workflow Performance Profiler: 1. A visual profiling layer on top of existing Texera runtime statistics that helps users quickly see where their workflows are slow and how to fix them. 2. Bottleneck Heatmap: On the workflow canvas, each operator node is colored based on relative cost, using metrics like runtime and rows processed. After or during a run, users see “traffic light” colors on the graph that highlight the hottest operators at a glance. 3. Detailed Per‑Operator Stats: Hovering or clicking an operator shows a small panel with richer metrics such as total runtime, input and output row counts, throughput, and data size, turning raw JSON stats into human‑readable information. 4. Optimization Hints: A lightweight cost model and a few rule‑based checks (for example, a join with huge input and tiny output) generate simple suggestions like “add a Filter before this Join” or “increase parallelism for this hot operator,” guiding users toward concrete performance improvements without digging into logs. PR #5098 GitHub link: https://github.com/apache/texera/discussions/5059#discussioncomment-16924043 ---- This is an automatically sent email for [email protected]. To unsubscribe, please send an email to: [email protected]
