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Extract Jobs Report

This document outlines the Extract Jobs report (page 3) of the dashboard and explains the various graphs and tables present on the page.

Note: In all further sections, the "time", "week" or "day" is relative to the timeframe selected in the date filter in the Selection Bar at the top of the page

Selection Bar

The Selection Bar allows the user to filter the data in the report to a specific date and/or table. There are filters present to filter by Project Id and Job Id as well.

Selection Bar

Extracts By Day

The Bar Graph displays the total output of extract jobs carried over the past 7 days.

Extracts By Day

Extracts By Table

The Bar Graph displays the number of extract jobs carried out over the past 7 days, color coded by the different tables the extract job was carried out on.

Extracts By Table

Extracts By Project

The Bar Graph displays the number of extract jobs carried out over the past 7 days, color coded by the different projects the extract job was carried out on.

Loads By Project

Table

The table displays the details pertaining to all the extract jobs carried out over the past 7 days.

Table

User Id - Runtime Secs

The table displyas the average runtime (in seconds) for the extract jobs per user in the project (with access to BigQuery).

User Id - Runtime Secs

Extracts By Hour

The pie chart displays the percentage of extract jobs carried out over the hours of the day.

Example: Percentage of extract jobs carried out at 12 a.m. during the current week is 33.3%

Extracts By Hour

Extracts By Day of Week

The pie chart displays the percentage of extract jobs carried out over the days of the week.

Extracts By Day of Week