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clients/google-api-services-dataproc/v1/2.0.0/README.md

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<dependency>
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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-dataproc</artifactId>
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<version>v1-rev20240928-2.0.0</version>
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<version>v1-rev20241025-2.0.0</version>
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</dependency>
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</dependencies>
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</project>
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mavenCentral()
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}
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dependencies {
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implementation 'com.google.apis:google-api-services-dataproc:v1-rev20240928-2.0.0'
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implementation 'com.google.apis:google-api-services-dataproc:v1-rev20241025-2.0.0'
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}
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```
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clients/google-api-services-dataproc/v1/2.0.0/com/google/api/services/dataproc/model/PySparkJob.java

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package com.google.api.services.dataproc.model;
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/**
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* A Dataproc job for running Apache PySpark (https://spark.apache.org/docs/0.9.0/python-
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* programming-guide.html) applications on YARN.
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* A Dataproc job for running Apache PySpark
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* (https://spark.apache.org/docs/latest/api/python/index.html#pyspark-overview) applications on
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* YARN.
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*
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* <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
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* transmitted over HTTP when working with the Cloud Dataproc API. For a detailed explanation see:

clients/google-api-services-dataproc/v1/2.0.0/pom.xml

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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-dataproc</artifactId>
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<version>v1-rev20240928-2.0.0</version>
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<name>Cloud Dataproc API v1-rev20240928-2.0.0</name>
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<version>v1-rev20241025-2.0.0</version>
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<name>Cloud Dataproc API v1-rev20241025-2.0.0</name>
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<packaging>jar</packaging>
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<inceptionYear>2011</inceptionYear>

clients/google-api-services-dataproc/v1/README.md

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<dependency>
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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-dataproc</artifactId>
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<version>v1-rev20240928-2.0.0</version>
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<version>v1-rev20241025-2.0.0</version>
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</dependency>
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</dependencies>
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</project>
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mavenCentral()
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}
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dependencies {
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implementation 'com.google.apis:google-api-services-dataproc:v1-rev20240928-2.0.0'
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implementation 'com.google.apis:google-api-services-dataproc:v1-rev20241025-2.0.0'
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}
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```
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