IDEA配置Spark运行环境-Toy模板网

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IDEA配置Spark运行环境

在IDEA中添加scala插件创建maven项目并添加scala的sdk
前提：本地已安装Scala

安装Scala插件(在线)

Preferences -> Plugins -> Browse Repositories -> 搜索 scala -> install
创建Maven工程

File -> New -> Project… -> Maven -> Next
引入Scala框架

所在项目(点击右键) -> Add Framework Support… ->选择 Scala->点击 OK

相关依赖jar的引入配置pom.xml

pom.xml

<dependencies>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.11</artifactId>
        <version>2.4.7</version>
    </dependency>
    <dependency>
        <groupId>org.apache.logging.log4j</groupId>
        <artifactId>log4j-core</artifactId>
        <version>2.8.2</version>
    </dependency>
</dependencies>

log4j.properties文章来源地址https://www.toymoban.com/news/detail-532368.html

log4j.rootCategory=ERROR, console
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n
# Set the default spark-shell log level to ERROR. When running the spark-shell,the
# log level for this class is used to overwrite the root logger's log level, sothat
# the user can have different defaults for the shell and regular Spark apps.
log4j.logger.org.apache.spark.repl.Main=ERROR
# Settings to quiet third party logs that are too verbose
log4j.logger.org.spark_project.jetty=ERROR
log4j.logger.org.spark_project.jetty.util.component.AbstractLifeCycle=ERROR
log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=ERROR
log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=ERROR
log4j.logger.org.apache.parquet=ERROR
log4j.logger.parquet=ERROR
# SPARK-9183: Settings to avoid annoying messages when looking up nonexistentUDFs in SparkSQL with Hive support
log4j.logger.org.apache.hadoop.hive.metastore.RetryingHMSHandler=FATAL
log4j.logger.org.apache.hadoop.hive.ql.exec.FunctionRegistry=ERROR