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Analysing the failed Spark Jobs using Log Files | log Files in Databricks | Best Practices in Spark
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2,333 Views • Mar 23, 2024 • Click to toggle off description
Analysing the failed Spark Jobs using Log Files | log Files in Databricks | Best Practices in Spark

In this video, we will understand how to analyze Spark Jobs in case of failure using log Files. Where to find the Log Files. Databricks log file utility comes handy to view the logs of failed jobs.

One of the most common interview questions when you are applying for any data based roles such as data analyst, data engineer, data scientist or data manager.

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Views : 2,333
Genre: Education
Date of upload: Mar 23, 2024 ^^


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RYD date created : 2024-03-24T07:32:19.969217Z
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YouTube Comments - 2 Comments

Top Comments of this video!! :3

@NabaKrPaul-ik2oy

3 months ago

The logger library would point to datalake or dbfs to Write the logs right?

1 |

@rh334

3 months ago

But we see this in Databricks shell job tabs right?

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