Stay organized with collections
Save and categorize content based on your preferences.
Dataflow provides recommendations for improving job performance,
reducing cost, and troubleshooting errors. This section explains how to review
and interpret the recommendations. Keep in mind that some recommendations might
not be relevant to your use case.
View recommendations
To view recommendations, perform the following steps:
In the Google Cloud console, go to the Dataflow >
Jobs page.
The Recommendations tab displays insights from Dataflow regarding the pipeline.
The goal of these insights is to identify situations in which improvements in cost and performance might be made.
The Update date column indicates the last time that an insight was observed.
Recommendations are stored for 30 days from the Update date.
Programmatic access to recommendations
For programmatic access to recommendations, use the Recommender API.
Dismiss a recommendation
You can dismiss a recommendation at the Recommendation Hub for your
project.
To dismiss a recommendation, follow these steps:
In the Google Cloud console, open the navigation menu.
Select Home, and then Recommendations.
On the Dataflow Diagnostics card, click View all.
Select the recommendation that you want to dismiss, and then click Dismiss.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-17 UTC."],[[["Dataflow provides recommendations to enhance job performance, lower costs, and aid in error troubleshooting."],["You can view these recommendations by navigating to the **Dataflow** \u003e **Jobs** page in the Google Cloud console and selecting the **Recommendations** tab for a specific job."],["The **Recommendations** tab displays insights that identify opportunities for cost and performance improvements in your data pipeline."],["Recommendations are stored for 30 days from the **Update date**, and the **Update date** column shows when an insight was last observed."],["The Recommender API allows for programmatic access to these recommendations, and they can also be dismissed at the Recommendation Hub for your project."]]],[]]