Run 5181 succeeded

Rerun

Log in to rerun

Status?Where the run is: queued, running, then succeeded, failed or cancelled. Refreshed every 5 s while it goes on. Docs ↗

Duration?How long the run took, from its start to its end, or to now while it goes on. Hover for the times.

8 h 58 min

Created?When the run was queued: by the schedule, a sensor, a backfill, a fill or a person.

2026-11-09T16:11:44Z

Started?When its process started, once its turn in the queue came and its placement had room. Empty while it waits.

2026-11-09T20:35:58Z

Ended?When it finished, whatever the outcome. Empty while it goes on.

2026-11-10T05:34:19Z

Tries?Times the run's process was started: 1 is normal; more means retries, a lost instance or a resume.

2

Partitions & trigger?What this run does, and what made it start. Docs ↗

Partitions?The partitions this run does (months, days, hours or named keys): each step runs once per partition. Docs ↗

2023-04-03 … 2026-11-08 (1316 partitions)

all 1316

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Trigger?What started it: the schedule, a sensor (with the snapshots it saw), a rebuild, a backfill, a fill, or manual (a person, or a binary's run command). Docs ↗

ui

Code?The code this run ran, at the commit its binary was built from. Hover a name to see its source; click it to open the file on its host. Docs ↗

Functions?The pipeline, its steps in the order they run, and the dista tasks they fan out to, each linked to its line at the commit this run ran. Docs ↗

mojo_activity↗ · activity↗ · day_activity↗

Source?The commit its binary was built from (-D ORCA_COMMIT), in which repository, and the image it ran in, if any. Docs ↗

41fd22cca8e9↗ of https://github.com/magmalake/mojo-census↗

Driver log?What the run's process printed: orca's lines and its steps' output, as the scheduler kept it. Each attempt under Steps has its own log too.

driver.log

Code hash 0x847d6f4604e8f29?A hash of what the binary says about itself: its steps, partitions and schedule. It changes when they do, not on every build. Docs ↗

Resources?What this run's own processes used: its process and the ones it started, dista's local workers too, measured by the scheduler or worker that started it. Not the rest of the machine: the machine's numbers, where they are recorded, are in their own card further down. With a request, what it asked for and was granted too. Docs ↗

Peak memory?The most memory its processes held at once: the run's process and what it started (dista's local workers too), sampled every second by the scheduler or worker that started it, and at the end the largest single process. Not measured on EC2 or Kubernetes. Docs ↗

1225 MB

CPU used?The CPU time its processes used, user and system, and the most cores they kept busy over one sample's second. macOS gives only the time, and only for a process that made one attempt. Docs ↗

6.1 h, up to 2.9 cores at once

Settings?What the run was set up with, orca.toml and the flags applied: as its start recorded them, or else as the pipeline is registered. The pipeline's Config card says where each value came from. Docs ↗

As the pipeline is registered. Where each value came from

Placed?Where it ran: local (beside the scheduler, on its machine), control (on the control host, within its limits), ec2 (instances of its own), or a remote worker's pool. Docs ↗

local

Max runs?The most runs of this pipeline the scheduler starts at once (max_runs); the others wait in the queue.

1

Spot?Whether its EC2 instances are Spot: cheaper, and AWS can take them back.

false

Environment?The variables orca.toml's env and the flags set in the run's environment.

DISTA_WORKER_SLOTS=2