安装与Spark相关的其他组件的时候，例如JDK，Hadoop，Yarn，Hive，Kafka等，要考虑到这些组件和Spark的版本兼容关系。这个对应关系可以在Spark源代码的pom.xml文件中查看。
一、 下载Spark源代码
打开网址https://github.com/apache/spark，例如选择v2.4.0-rc5版本，再点击“Clone or download”按钮，点击下方的“Download ZIP”进行下载。
二、查看pom.xml文件
将下载的源代码压缩包解压后，打开里面的pom.xml文件，查看properties标签内各配置项，里面有列出其他组件的兼容版本信息，例如<hadoop.version>2.6.5</hadoop.version>表示hadoop版本为2.6.5。如下：
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<java.version>1.8</java.version>
<maven.compiler.source>${java.version}</maven.compiler.source>
<maven.compiler.target>${java.version}</maven.compiler.target>
<maven.version>3.5.4</maven.version>
<sbt.project.name>spark</sbt.project.name>
<slf4j.version>1.7.16</slf4j.version>
<log4j.version>1.2.17</log4j.version>
<hadoop.version>2.6.5</hadoop.version>
<protobuf.version>2.5.0</protobuf.version>
<yarn.version>${hadoop.version}</yarn.version>
<flume.version>1.6.0</flume.version>
<zookeeper.version>3.4.6</zookeeper.version>
<curator.version>2.6.0</curator.version>
<hive.group>org.spark-project.hive</hive.group>
<!-- Version used in Maven Hive dependency -->
<hive.version>1.2.1.spark2</hive.version>
<!-- Version used for internal directory structure -->
<hive.version.short>1.2.1</hive.version.short>
<derby.version>10.12.1.1</derby.version>
<parquet.version>1.10.0</parquet.version>
<orc.version>1.5.2</orc.version>
<orc.classifier>nohive</orc.classifier>
<hive.parquet.version>1.6.0</hive.parquet.version>
<jetty.version>9.3.24.v20180605</jetty.version>
<javaxservlet.version>3.1.0</javaxservlet.version>
<chill.version>0.9.3</chill.version>
<ivy.version>2.4.0</ivy.version>
<oro.version>2.0.8</oro.version>
<codahale.metrics.version>3.1.5</codahale.metrics.version>
<avro.version>1.8.2</avro.version>
<avro.mapred.classifier>hadoop2</avro.mapred.classifier>
<aws.kinesis.client.version>1.8.10</aws.kinesis.client.version>
<!-- Should be consistent with Kinesis client dependency -->
<aws.java.sdk.version>1.11.271</aws.java.sdk.version>
<!-- the producer is used in tests -->
<aws.kinesis.producer.version>0.12.8</aws.kinesis.producer.version>
<!-- org.apache.httpcomponents/httpclient-->
<commons.httpclient.version>4.5.6</commons.httpclient.version>
<commons.httpcore.version>4.4.10</commons.httpcore.version>
<!-- commons-httpclient/commons-httpclient-->
<httpclient.classic.version>3.1</httpclient.classic.version>
<commons.math3.version>3.4.1</commons.math3.version>
<!-- managed up from 3.2.1 for SPARK-11652 -->
<commons.collections.version>3.2.2</commons.collections.version>
<scala.version>2.11.12</scala.version>
<scala.binary.version>2.11</scala.binary.version>
<codehaus.jackson.version>1.9.13</codehaus.jackson.version>
<fasterxml.jackson.version>2.6.7</fasterxml.jackson.version>
<fasterxml.jackson.databind.version>2.6.7.1</fasterxml.jackson.databind.version>
<snappy.version>1.1.7.1</snappy.version>
<netlib.java.version>1.1.2</netlib.java.version>
<calcite.version>1.2.0-incubating</calcite.version>
<commons-codec.version>1.10</commons-codec.version>
<commons-io.version>2.4</commons-io.version>
<!-- org.apache.commons/commons-lang/-->
<commons-lang2.version>2.6</commons-lang2.version>
<!-- org.apache.commons/commons-lang3/-->
<commons-lang3.version>3.5</commons-lang3.version>
<datanucleus-core.version>3.2.10</datanucleus-core.version>
<janino.version>3.0.9</janino.version>
<jersey.version>2.22.2</jersey.version>
<joda.version>2.9.3</joda.version>
<jodd.version>3.5.2</jodd.version>
<jsr305.version>1.3.9</jsr305.version>
<libthrift.version>0.9.3</libthrift.version>
<antlr4.version>4.7</antlr4.version>
<jpam.version>1.1</jpam.version>
<selenium.version>2.52.0</selenium.version>
<!--
Managed up from older version from Avro; sync with jackson-module-paranamer dependency version
-->
<paranamer.version>2.8</paranamer.version>
<maven-antrun.version>1.8</maven-antrun.version>
<commons-crypto.version>1.0.0</commons-crypto.version>
<!--
If you are changing Arrow version specification, please check ./python/pyspark/sql/utils.py,
./python/run-tests.py and ./python/setup.py too.
-->
<arrow.version>0.10.0</arrow.version>
<test.java.home>${java.home}</test.java.home>
<test.exclude.tags></test.exclude.tags>
<test.include.tags></test.include.tags>
<!-- Package to use when relocating shaded classes. -->
<spark.shade.packageName>org.spark_project</spark.shade.packageName>
<!-- Modules that copy jars to the build directory should do so under this location. -->
<jars.target.dir>${project.build.directory}/scala-${scala.binary.version}/jars</jars.target.dir>
<!-- Allow modules to enable / disable certain build plugins easily. -->
<build.testJarPhase>prepare-package</build.testJarPhase>
<build.copyDependenciesPhase>none</build.copyDependenciesPhase>
<!--
Dependency scopes that can be overridden by enabling certain profiles. These profiles are
declared in the projects that build assemblies.
For other projects the scope should remain as "compile", otherwise they are not available
during compilation if the dependency is transivite (e.g. "graphx/" depending on "core/" and
needing Hadoop classes in the classpath to compile).
-->
<flume.deps.scope>compile</flume.deps.scope>
<hadoop.deps.scope>compile</hadoop.deps.scope>
<hive.deps.scope>compile</hive.deps.scope>
<orc.deps.scope>compile</orc.deps.scope>
<parquet.deps.scope>compile</parquet.deps.scope>
<parquet.test.deps.scope>test</parquet.test.deps.scope>
<!--
Overridable test home. So that you can call individual pom files directly without
things breaking.
-->
<spark.test.home>${session.executionRootDirectory}</spark.test.home>
<CodeCacheSize>512m</CodeCacheSize>
</properties>
完毕。