增加自测模块

bin/spark-submit

@@ -24,4 +24,8 @@ fi
 # disable randomized hash for string in Python 3.3+
 export PYTHONHASHSEED=0
 
+#spark-submit最终调用的是spark-class脚本
+#传入的类是org.apache.spark.deploy.SparkSubmit
+#及其它传入的参数，如deploy mode、executor-memory等
+
 exec "${SPARK_HOME}"/bin/spark-class org.apache.spark.deploy.SparkSubmit "$@"

core/src/main/scala/org/apache/spark/SparkConf.scala

@@ -69,7 +69,7 @@ class SparkConf(loadDefaults: Boolean) extends Cloneable with Logging with Seria
   }
 
   private[spark] def loadFromSystemProperties(silent: Boolean): SparkConf = {
-    // Load any spark.* system properties
+    // Load any spark.* system properties加载以spark.开头的系统属性
     for ((key, value) <- Utils.getSystemProperties if key.startsWith("spark.")) {
       set(key, value, silent)
     }

pom.xml

@@ -112,6 +112,7 @@
     <module>external/kafka-0-10</module>
     <module>external/kafka-0-10-assembly</module>
     <module>external/kafka-0-10-sql</module>
+    <module>zhangchj</module>
   </modules>
 
   <properties>

zhangchj/pom.xml

@@ -0,0 +1,72 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <modelVersion>4.0.0</modelVersion>
+    <parent>
+        <groupId>org.apache.spark</groupId>
+        <artifactId>spark-parent_2.11</artifactId>
+        <version>2.1.0</version>
+    </parent>
+    <artifactId>zhangchj</artifactId>
+
+    <dependencies>
+        <dependency>
+            <groupId>org.spark-project.spark</groupId>
+            <artifactId>unused</artifactId>
+            <version>1.0.0</version>
+            <scope>provided</scope>
+        </dependency>
+        <dependency>
+            <groupId>org.apache.spark</groupId>
+            <artifactId>spark-core_${scala.binary.version}</artifactId>
+            <version>${project.version}</version>
+            <scope>provided</scope>
+        </dependency>
+        <dependency>
+            <groupId>org.apache.spark</groupId>
+            <artifactId>spark-streaming_${scala.binary.version}</artifactId>
+            <version>${project.version}</version>
+            <scope>provided</scope>
+        </dependency>
+        <dependency>
+            <groupId>org.apache.spark</groupId>
+            <artifactId>spark-mllib_${scala.binary.version}</artifactId>
+            <version>${project.version}</version>
+            <scope>provided</scope>
+        </dependency>
+        <dependency>
+            <groupId>org.apache.spark</groupId>
+            <artifactId>spark-hive_${scala.binary.version}</artifactId>
+            <version>${project.version}</version>
+            <scope>provided</scope>
+        </dependency>
+    </dependencies>
+    <build>
+        <outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>
+        <testOutputDirectory>target/scala-${scala.binary.version}/test-classes</testOutputDirectory>
+        <plugins>
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-deploy-plugin</artifactId>
+                <configuration>
+                    <skip>true</skip>
+                </configuration>
+            </plugin>
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-install-plugin</artifactId>
+                <configuration>
+                    <skip>true</skip>
+                </configuration>
+            </plugin>
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-jar-plugin</artifactId>
+                <configuration>
+                    <outputDirectory>${jars.target.dir}</outputDirectory>
+                </configuration>
+            </plugin>
+        </plugins>
+    </build>
+</project>

zhangchj/src/main/scala/com/jd/zhangchj/core/WordCount.scala

@@ -0,0 +1,23 @@
+
+package com.jd.zhangchj.core
+
+import org.apache.spark.{SparkConf, SparkContext}
+
+object WordCount {
+
+  def main(args: Array[String]): Unit = {
+    val logFile: String = "/home/zhangchj/sources/spark/README.md" // Should be some file on your system
+    val conf = new SparkConf().setAppName("WordCount").setMaster("local[*]")
+    val sc = new SparkContext(conf)
+    val logData = sc.textFile(logFile, 2).cache()
+  /*  val numAs = logData.filter(line => line.contains("a")).count()
+    val numBs = logData.filter(line => line.contains("b")).count()
+    println(s"Lines with a: $numAs, Lines with b: $numBs")*/
+    val wordCounts = logData.flatMap(line => line.split(" ")).
+      map(word => (word, 1)).reduceByKey((a, b) => a + b)
+    wordCounts.foreach(println(_))
+
+    sc.stop()
+    //val wordCounts = textFile.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey((a, b) => a + b)
+  }
+}