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Copy file name to clipboardExpand all lines: src/content/docs/aws/services/emr.md
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---
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title: "Elastic MapReduce (EMR)"
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linkTitle: "Elastic MapReduce (EMR)"
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tags: ["Ultimate"]
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description: >
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Get started with Elastic MapReduce (EMR) on LocalStack
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description: Get started with Elastic MapReduce (EMR) on LocalStack
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---
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## Introduction
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EMR utilizes various tools in the [Hadoop](https://hadoop.apache.org/) and [Spark](https://spark.apache.org) ecosystem, and your EMR instance is automatically configured to connect seamlessly to LocalStack's S3 API.
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LocalStack also supports EMR Serverless to create applications and job runs, to run your Spark/PySpark jobs locally.
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The supported APIs are available on our [API coverage page]({{ ref "coverage_emr" >}}), which provides information on the extent of EMR's integration with LocalStack.
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The supported APIs are available on our [API coverage page](), which provides information on the extent of EMR's integration with LocalStack.
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{{< callout >}}
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:::note
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To utilize the EMR API, certain additional dependencies need to be downloaded from the network (including Hadoop, Hive, Spark, etc).
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These dependencies are fetched automatically during service startup, hence it is important to ensure a reliable internet connection when retrieving the dependencies for the first time.
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Alternatively, you can use one of our `*-bigdata` Docker image tags which already ship with the required libraries baked in and may provide better stability (see [here]({{< ref "/user-guide/ci/#ci-images" >}}) for more details).
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{{< /callout >}}
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Alternatively, you can use one of our `*-bigdata` Docker image tags which already ship with the required libraries baked in and may provide better stability (see [here]() for more details).
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:::
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## Getting started
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We will create a virtual EMR cluster using the AWS CLI.
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To create an EMR cluster, run the following command:
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