Fixing a javadoc lint issue

hoodie-client/src/main/java/com/uber/hoodie/HoodieReadClient.java

@@ -70,7 +70,7 @@ public class HoodieReadClient implements Serializable {
 
     private transient final FileSystem fs;
     /**
-     * TODO: We need to persist the index type into hoodie.properties & be able to access the index
+     * TODO: We need to persist the index type into hoodie.properties and be able to access the index
      * just with a simple basepath pointing to the dataset. Until, then just always assume a
      * BloomIndex
      */

hoodie-client/src/main/java/com/uber/hoodie/index/HoodieBloomIndex.java

@@ -323,7 +323,7 @@ public class HoodieBloomIndex<T extends HoodieRecordPayload> extends HoodieIndex
     /**
      * Find out <RowKey, filename> pair. All workload grouped by file-level.
      *
-     *         // Join PairRDD(PartitionPath, RecordKey) and PairRDD(PartitionPath, File) & then repartition such that
+     *         // Join PairRDD(PartitionPath, RecordKey) and PairRDD(PartitionPath, File) and then repartition such that
      // each RDD partition is a file, then for each file, we do (1) load bloom filter, (2) load rowKeys, (3) Tag rowKey
      // Make sure the parallelism is atleast the groupby parallelism for tagging location
      */

hoodie-client/src/test/java/com/uber/hoodie/common/HoodieTestDataGenerator.java

@@ -40,7 +40,7 @@ import java.util.Random;
 import java.util.UUID;
 
 /**
- * Class to be used in tests to keep generating test inserts & updates against a corpus.
+ * Class to be used in tests to keep generating test inserts and updates against a corpus.
  *
  * Test data uses a toy Uber trips, data model.
  */

hoodie-hadoop-mr/src/main/java/com/uber/hoodie/hadoop/HoodieROTablePathFilter.java

@@ -33,11 +33,11 @@ import java.util.HashSet;
 
 /**
  * Given a path is a part of
- * - Hoodie dataset => accepts ONLY the latest version of each path
- * - Non-Hoodie dataset => then always accept
+ * - Hoodie dataset = accepts ONLY the latest version of each path
+ * - Non-Hoodie dataset = then always accept
  *
- * We can set this filter, on a query engine's Hadoop Config & if it respects path filters, then
- * you should be able to query both hoodie & non-hoodie datasets as you would normally do.
+ * We can set this filter, on a query engine's Hadoop Config and if it respects path filters, then
+ * you should be able to query both hoodie and non-hoodie datasets as you would normally do.
  *
  * hadoopConf.setClass("mapreduce.input.pathFilter.class",
  *                      com.uber.hoodie.hadoop.HoodieROTablePathFilter.class,
@@ -50,7 +50,7 @@ public class HoodieROTablePathFilter implements PathFilter, Serializable {
 
     /**
      * Its quite common, to have all files from a given partition path be passed into accept(),
-     * cache the check for hoodie metadata for known partition paths & the latest versions of files
+     * cache the check for hoodie metadata for known partition paths and the latest versions of files
      */
     private HashMap<String, HashSet<Path>> hoodiePathCache;
 

pom.xml

@@ -503,6 +503,9 @@
                                 </goals>
                             </execution>
                         </executions>
+                        <configuration>
+                            <additionalparam>-Xdoclint:none</additionalparam>
+                        </configuration>
                     </plugin>
                     <plugin>
                         <groupId>org.apache.maven.plugins</groupId>