---
title: "Amazon EMR Serverless now makes it easier to specify fine grained log configurations"
url: https://daily.dev/posts/amazon-emr-serverless-now-makes-it-easier-to-specify-fine-grained-log-configurations-3uggrrqqy
source_url: https://aws.amazon.com/about-aws/whats-new/2023/08/amazon-emr-serverless-specify-fine-grained-log-configurations/
type: article
source: "AWS"
published: 2023-08-15T17:48:24.787Z
updated: 2023-08-15T17:48:13.945Z
tags: ["apache-spark", "spark", "hive"]
reading_time: 1
upvotes: 0
comments: 0
language: en
---

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# Amazon EMR Serverless now makes it easier to specify fine grained log configurations

**[AWS](https://daily.dev/sources/aws)** · 1 min read · 0 upvotes · 0 comments

## Summary

Amazon EMR Serverless now makes it easier to specify fine grained log configurations for your driver and executor logs. Spark uses Log4j2 to configure logs for Spark and Apache Hive. Spark's default log settings can be too verbose, making it difficult to find relevant log entries.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://aws.amazon.com/about-aws/whats-new/2023/08/amazon-emr-serverless-specify-fine-grained-log-configurations/>

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---

Tags: [#apache-spark](https://daily.dev/tags/apache-spark), [#spark](https://daily.dev/tags/spark), [#hive](https://daily.dev/tags/hive)

[View this post on daily.dev](https://daily.dev/posts/amazon-emr-serverless-now-makes-it-easier-to-specify-fine-grained-log-configurations-3uggrrqqy)