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Lesson 11 of 14 · Review a run

Find a past execution and its result

Move from the live canvas to durable run history, filter the list, and inspect the execution one step at a time.

Runsabout 9 minutescompleted Studio run

1. Objective

Goal

Open Runs from the sidebar, locate a completed execution, and open its detail page. Read the Started, Finished, Duration, and Steps cards, then inspect the captured logs for the executed step.

Course project

Continue with studio-course, the manual first-workflow, and the first-job canvas saved by the preceding lesson. Do not create a parallel replacement project.

Prerequisites

  • The top bar shows API online.
  • The run started in the preceding lesson has reached a terminal state.
  • The cumulative project and workflow are still available in Studio.

2. Steps

01Open run history

Objective

Move from the workflow editor to the history of executions saved by the API.

Actions

  1. Wait until the terminal state of the current run is visible.
  2. Find Runs in the left sidebar.
  3. Select Runs.
Sidebar → Runs
What you should see

The Runs entry is available from the editor and opens the execution history without changing the saved canvas.

Hydra Studio workflow editor with the Runs entry highlighted in the left sidebar
Open the history. Select Runs in the left sidebar after the execution reaches a terminal state.

02Read the run history

Objective

Identify the execution you want to review from its workflow, status, step count, start time, and duration.

Actions

  1. Read the totals in the upper-right corner.
  2. Use All, Running, Success, Failed, or Pending to narrow the list when needed.
  3. Find the successful first-workflow row created by the preceding lesson.
  4. Select its workflow name to open the run.
Runs → Success → first-workflow
What you should see

Each row exposes the workflow, short run identifier, status, completed steps, start time, and observed duration.

Workflow         Status    Steps    Started              Duration
first-workflow   Success   1/1      <observed time>      <observed>
Hydra Studio Runs page listing successful first-workflow and first-job executions
Read before opening. The history table gives enough evidence to choose the correct execution; identifiers and durations vary between runs.

03Inspect one execution

Objective

Connect the run-level result to the exact engine step and the rows it processed.

Actions

  1. Confirm the workflow name, short run identifier, and terminal status at the top of the page.
  2. Read Started, Finished, Duration, and Steps.
  3. Expand the step card if it is collapsed.
  4. Read the step status, duration, log count, job path, and row counters.
Run detail → Steps → job log
What you should see

The run is successful, its single step is marked ok, and the log confirms that first-job wrote four rows.

Success
Steps: 1 ok / 1
Job 'first-job' completed successfully: 12 rows in, 4 rows out
OK rows_out=4 duration=<observed>
Hydra Studio run detail page showing a successful first-workflow execution, summary cards, and expanded job logs
Inspect the evidence. The summary describes the whole run; the expanded step shows the engine log and row counts for the job.
Tips and traps

Use the status filters when the history contains many executions.

A workflow name is not a unique run. Confirm the short identifier and start time before opening it.

Read the summary and the step log together: one describes the run, the other explains what executed.

Durations, timestamps, and run identifiers are observed values. They will not match the screenshots exactly.

The row counters are execution evidence: compare rows in with rows out to confirm the transformation result.

Do not confuse first-workflow with the earlier direct first-job run in the history.

3. Checklist

VerificationExpected result
Runs pageStatus filters and execution rows are visible
Selected entryMatches first-workflow and shows Success
Summary cardsStarted, Finished, Duration, and Steps are readable
Step detailOne successful step and its four log lines are visible
Row evidenceThe log reports four rows written

4. Troubleshooting

SymptomCauseFix
The run is still RunningPolling has not reached a terminal stateWait and refresh the API-backed list
No run is listedThe job submission did not succeed or another workspace is activeReturn to the editor and confirm the completed run
Logs are emptyThe engine captured no lines for that stepUse status, duration, and output artifact as the remaining evidence

5. Next lesson

You can now trace a job beyond the editor. The next lesson adds a second job tab, places both saved jobs on Workflow configuration, and connects them into an ordered dependency graph.

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