fix typos in makerspace exmaples

Author: James Lee

in/uk-market-spaces-identifiable-data.csv in/uk-makerspaces-identifiable-data.csv

@@ -12,18 +12,18 @@
 import java.io.FileNotFoundException;
 import java.util.*;
 
-public class UkMarketSpaces {
+public class UkMakerSpaces {
 
     public static void main(String[] args) throws Exception {
         Logger.getLogger("org").setLevel(Level.ERROR);
-        SparkConf conf = new SparkConf().setAppName("UkMarketSpaces").setMaster("local[1]");
+        SparkConf conf = new SparkConf().setAppName("UkMakerSpaces").setMaster("local[1]");
         JavaSparkContext javaSparkContext = new JavaSparkContext(conf);
 
         final Broadcast<Map<String, String>> postCodeMap = javaSparkContext.broadcast(loadPostCodeMap());
 
-        JavaRDD<String> marketsRdd = javaSparkContext.textFile("in/uk-market-spaces-identifiable-data.csv");
+        JavaRDD<String> makerSpaceRdd = javaSparkContext.textFile("in/uk-makerspaces-identifiable-data.csv");
 
-        JavaRDD<String> regions = marketsRdd
+        JavaRDD<String> regions = makerSpaceRdd
                 .filter(line -> !line.split(Utils.COMMA_DELIMITER, -1)[0].equals("Timestamp"))
                 .map(line -> {
                     Optional<String> postPrefix = getPostPrefix(line);

src/main/java/com/sparkTutorial/advanced/broadcast/UkMarketSpaces.java src/main/java/com/sparkTutorial/advanced/broadcast/UkMakerSpaces.java

@@ -11,18 +11,18 @@
 import java.io.FileNotFoundException;
 import java.util.*;
 
-public class UkMarketSpacesWithoutBroadcaset {
+public class UkMakerSpacesWithoutBroadcast {
 
     public static void main(String[] args) throws Exception {
         Logger.getLogger("org").setLevel(Level.ERROR);
-        SparkConf conf = new SparkConf().setAppName("UkMarketSpaces").setMaster("local[1]");
+        SparkConf conf = new SparkConf().setAppName("UkMakerSpaces").setMaster("local[1]");
         JavaSparkContext javaSparkContext = new JavaSparkContext(conf);
 
         final Map<String, String> postCodeMap = loadPostCodeMap();
 
-        JavaRDD<String> marketsRdd = javaSparkContext.textFile("in/uk-market-spaces-identifiable-data.csv");
+        JavaRDD<String> makerSpaceRdd = javaSparkContext.textFile("in/uk-makerspaces-identifiable-data.csv");
 
-        JavaRDD<String> regions = marketsRdd
+        JavaRDD<String> regions = makerSpaceRdd
                 .filter(line -> !line.split(Utils.COMMA_DELIMITER, -1)[0].equals("Timestamp"))
                 .map(line -> {
                     List<String> postCodePrefixes = getPostPrefixes(line);

src/main/java/com/sparkTutorial/advanced/broadcast/UkMarketSpacesWithoutBroadcaset.java src/main/java/com/sparkTutorial/advanced/broadcast/UkMakerSpacesWithoutBroadcast.java

@@ -8,27 +8,27 @@
 
 import static org.apache.spark.sql.functions.*;
 
-public class UkMarketSpaces {
+public class UkMakerSpaces {
 
     public static void main(String[] args) throws Exception {
 
         Logger.getLogger("org").setLevel(Level.ERROR);
 
-        SparkSession session = SparkSession.builder().appName("UkMarketSpaces").master("local[*]").getOrCreate();
+        SparkSession session = SparkSession.builder().appName("UkMakerSpaces").master("local[*]").getOrCreate();
 
-        Dataset<Row> marketSpace = session.read().option("header", "true").csv("in/uk-market-spaces-identifiable-data.csv");
+        Dataset<Row> makerSpace = session.read().option("header", "true").csv("in/uk-makerspaces-identifiable-data.csv");
 
         Dataset<Row> postCode = session.read().option("header", "true").csv("in/uk-postcode.csv")
                 .withColumn("PostCode", concat_ws("", col("PostCode"), lit(" ")));
 
-        System.out.println("=== Print 20 records of market space table ===");
-        marketSpace.show();
+        System.out.println("=== Print 20 records of makerspace table ===");
+        makerSpace.show();
 
         System.out.println("=== Print 20 records of postcode table ===");
         postCode.show();
 
-        Dataset<Row> joined = marketSpace.join(postCode,
-                marketSpace.col("Postcode").startsWith(postCode.col("Postcode")), "left_outer");
+        Dataset<Row> joined = makerSpace.join(postCode,
+                makerSpace.col("Postcode").startsWith(postCode.col("Postcode")), "left_outer");
 
         System.out.println("=== Group by Region ===");
         joined.groupBy("Region").count().show(200);