Crossbow Nightly Report

This report builds in sync with the email notifications (builds@arrow.apache.org). The most recent commits are: a272046 and 29d34e8. The report examines data from the last 120 days.

This report was prepared on 2026-02-13.

Build Status

Logs

Trends

Summary

Nightly Date	Arrow Commit	Build Type	Prop	Success	Failure Trend1
2026-02-13	29d34e8	Release	1.0000000	28	stable
2026-02-13	a272046	Packaging	0.8888889	48	increasing
2026-02-13	a272046	Tests	0.6756757	50	increasing
1 Trend calculated over 10 days

Trends

trendPlot = function(data) {
  // variables to use
  const spec = ({
    x: "nightly_date", 
    y: "prop", 
    stroke: "build_type", 
    fy: "build_type"
  })

  const added_spec = Object.assign(
    {},
    spec,
    {
      tip: true,
      symbol: "circle",
      fill: "build_type",  
      opacity: 0.7
    }
  )
  return Plot.plot({
    width: 1200,
    height: 600,
    inset: 10, 
    nice: true,
    color: {scheme: "viridis"},
    facet: {
      data: data,
      y: "build_type",
      marginRight: 90,
      marginLeft: 10,
      },
      fy: {
        inset: 15,
        padding: 0.1,
        label: ""
      },
    y: {
      domain: [0, 100],
      label: "Proportion successful (%)",
      percent: true,
      labelOffset: 40
    },
    x: {
      type: "utc",
      label: "Date",
      tickFormat: "%b '%y",
    },
    style: {
      fontSize: "16px"
    },
    marks: [
      Plot.lineY(data, Plot.windowY(10, spec)),
      Plot.frame(),
      Plot.dot(data, added_spec),
      Plot.axisX({ticks: d3.utcMonth.every(1), tickFormat: " %b %d", tickSize: 14, tickPadding: -8, textAnchor: "start"}),
      Plot.axisX({ticks: d3.utcYear, tickFormat: "\n %Y", tickSize: 24, tickPadding: -20, textAnchor: "start"}),
      Plot.gridX({ticks: d3.utcMonth})
      ]
    })
}

import { aq, op } from '@uwdata/arquero';
parser = d3.timeParse("%Y-%m-%d");
import {slider as slide} from "@jashkenas/inputs"; // more configurable slider
timeScale = d3.scaleTime()
    .domain([initialPlotStartDate, plotEndDate])
    .range([0, d3.timeDay.count(initialPlotStartDate, plotEndDate)]); 

passPct = aq.from(transpose(ojs_pass_pct))
  .derive({ nightly_date: aq.escape(d => parser(d.nightly_date)) })

minNightlyDate = passPct
  .rollup({
    min_nightly_date: d => op.min(d.nightly_date)
  })
  .array('min_nightly_date')

// Slider for date
initialPlotStartDate = new Date(minNightlyDate)
plotEndDate = new Date(plot_end_date)
plotDefaultDate = new Date(plot_default_date)

// a slider that starts at the default date (value of CROSSBOW_LOOKBACK_WINDOW)
viewof slider = slide({
  min: 0, 
  max: d3.timeDay.count(initialPlotStartDate, plotEndDate), 
  format: d => md`${d3.timeFormat("%B %d, %Y")(timeScale.invert(d))}`,
  title: "Slide to select a Date range",
  value: d3.timeDay.count(initialPlotStartDate, plotDefaultDate),
  step: 2
})
// turn slide number back into a date
date = timeScale.invert(slider)

passPctDateSub = passPct
  .filter(aq.escape(d => d.nightly_date > date))

// Check for empty rows and alert user
{
  if (passPctDateSub.numRows() == 0) {
    alert("No data for this date range. Please select a different date range.")
  }
  return html``
}

trendPlot(passPctDateSub)