신은섭(Shin Eun Seop)

Merge branch 'feature/#3' into calcDelta

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72 +</project>
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1 +<component name="MarkdownNavigator.ProfileManager">
2 + <settings default="" pdf-export="" />
3 +</component>
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...@@ -11,4 +11,14 @@ ...@@ -11,4 +11,14 @@
11 <component name="ProjectRootManager" version="2" languageLevel="JDK_1_8" project-jdk-name="1.8" project-jdk-type="JavaSDK"> 11 <component name="ProjectRootManager" version="2" languageLevel="JDK_1_8" project-jdk-name="1.8" project-jdk-type="JavaSDK">
12 <output url="file://$PROJECT_DIR$/out" /> 12 <output url="file://$PROJECT_DIR$/out" />
13 </component> 13 </component>
14 + <component name="MavenProjectsManager">
15 + <option name="originalFiles">
16 + <list>
17 + <option value="$PROJECT_DIR$/pom.xml" />
18 + </list>
19 + </option>
20 + </component>
21 + <component name="ProjectRootManager" version="2" languageLevel="JDK_1_8" default="false" project-jdk-name="1.8" project-jdk-type="JavaSDK">
22 + <output url="file:///tmp" />
23 + </component>
14 </project> 24 </project>
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......
...@@ -2,7 +2,7 @@ ...@@ -2,7 +2,7 @@
2 <project xmlns="http://maven.apache.org/POM/4.0.0" 2 <project xmlns="http://maven.apache.org/POM/4.0.0"
3 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 3 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
4 xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> 4 xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
5 - <modelVersion>4.0.0</modelVersion> 5 + <modelVersion>1.0.0</modelVersion>
6 6
7 <groupId>cesco</groupId> 7 <groupId>cesco</groupId>
8 <artifactId>Detecting_fraud_clicks</artifactId> 8 <artifactId>Detecting_fraud_clicks</artifactId>
...@@ -16,7 +16,7 @@ ...@@ -16,7 +16,7 @@
16 <artifactId>spark-core_2.11</artifactId> 16 <artifactId>spark-core_2.11</artifactId>
17 <version>2.3.0</version> 17 <version>2.3.0</version>
18 </dependency> 18 </dependency>
19 - <!-- https://mavnrepository.com/artifact/org.apache.spark/spark-sql --> 19 +
20 <dependency> 20 <dependency>
21 <groupId>org.apache.spark</groupId> 21 <groupId>org.apache.spark</groupId>
22 <artifactId>spark-sql_2.11</artifactId> 22 <artifactId>spark-sql_2.11</artifactId>
...@@ -28,21 +28,22 @@ ...@@ -28,21 +28,22 @@
28 <artifactId>spark-csv_2.11</artifactId> 28 <artifactId>spark-csv_2.11</artifactId>
29 <version>1.5.0</version> 29 <version>1.5.0</version>
30 </dependency> 30 </dependency>
31 - </dependencies>
32 31
32 + </dependencies>
33 33
34 - <!--maven-compiler-plugin-->
35 <build> 34 <build>
36 - <plugins> 35 + <plugins>
37 - <plugin> 36 + <plugin>
38 - <groupId>org.apache.maven.plugins</groupId> 37 + <groupId>org.apache.maven.plugins</groupId>
39 - <artifactId>maven-compiler-plugin</artifactId> 38 + <artifactId>maven-compiler-plugin</artifactId>
40 - <version>3.1</version> 39 + <version>3.6.1</version>
41 - <configuration> 40 + <configuration>
42 - <source>1.8</source> 41 + <source>1.8</source>
43 - <target>1.8</target> 42 + <target>1.8</target>
44 - </configuration> 43 + </configuration>
45 - </plugin> 44 + </plugin>
46 - </plugins> 45 + </plugins>
47 - </build> 46 + </build>
48 -</project> 47 +
48 +
49 +</project>
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......
1 +import org.apache.spark.sql.Dataset;
2 +import org.apache.spark.sql.Row;
3 +import org.apache.spark.sql.SparkSession;
4 +import org.apache.spark.sql.expressions.Window;
5 +import org.apache.spark.sql.expressions.WindowSpec;
6 +
7 +import static org.apache.spark.sql.functions.col;
8 +import static org.apache.spark.sql.functions.count;
9 +import static org.apache.spark.sql.functions.sum;
10 +
11 +
12 +public class AvgAdvTime {
13 +
14 + public static void main(String[] args) throws Exception {
15 +
16 + // Start Spark Session
17 + SparkSession spark = SparkSession
18 + .builder()
19 + .master("local")
20 + .appName("Java Spark SQL basic example")
21 + .getOrCreate();
22 +
23 + // Read SCV to DataSet
24 + Dataset<Row> df = spark.read().format("csv")
25 + .option("inferSchema", "true")
26 + .option("header", "true")
27 + .load("train_sample.csv");
28 +
29 + // cast timestamp to long
30 + Dataset<Row> newdf = df.withColumn("utc_click_time", df.col("click_time").cast("long"));
31 + newdf = newdf.withColumn("utc_attributed_time", df.col("attributed_time").cast("long"));
32 + newdf = newdf.drop("click_time").drop("attributed_time");
33 +
34 + // set Window partition by 'ip' and 'app' order by 'utc_click_time' select rows between 1st row to current row
35 + WindowSpec w = Window.partitionBy("ip", "app")
36 + .orderBy("utc_click_time")
37 + .rowsBetween(Window.unboundedPreceding(), Window.currentRow());
38 +
39 + // aggregation
40 + newdf = newdf.withColumn("cum_count_click", count("utc_click_time").over(w));
41 + newdf = newdf.withColumn("cum_sum_attributed", sum("is_attributed").over(w));
42 + newdf = newdf.withColumn("avg_efficient", col("cum_sum_attributed").divide(col("cum_count_click")));
43 +
44 + // print example
45 + newdf.where("ip == '5348' and app == '19'").show();
46 + newdf.printSchema();
47 +
48 + }
49 +}
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