[MINOR] Fix newly added java-lint errors

## What changes were proposed in this pull request?

This PR fixes some newly added java-lint errors(unused-imports, line-lengsth).

## How was this patch tested?

Pass the Jenkins tests.

Author: Dongjoon Hyun <dongjoon@apache.org>

Closes #11968 from dongjoon-hyun/SPARK-14167.

3 files changed, 16 insertions, 16 deletions

diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/XXH64.java b/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/XXH64.java
index 5f2de266b5..f37ef83ad9 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/XXH64.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/XXH64.java
@@ -17,10 +17,8 @@
 package org.apache.spark.sql.catalyst.expressions;
 
 import org.apache.spark.unsafe.Platform;
-import org.apache.spark.util.SystemClock;
 
 // scalastyle: off
-
 /**
  * xxHash64. A high quality and fast 64 bit hash code by Yann Colet and Mathias Westerdahl. The
  * class below is modelled like its Murmur3_x86_32 cousin.
diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedParquetRecordReader.java b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedParquetRecordReader.java
index c06342c3d4..5bfde55c3b 100644
--- a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedParquetRecordReader.java
+++ b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedParquetRecordReader.java
@@ -24,8 +24,6 @@ import org.apache.hadoop.mapreduce.InputSplit;
 import org.apache.hadoop.mapreduce.TaskAttemptContext;
 import org.apache.parquet.column.ColumnDescriptor;
 import org.apache.parquet.column.page.PageReadStore;
-import org.apache.parquet.schema.OriginalType;
-import org.apache.parquet.schema.PrimitiveType;
 import org.apache.parquet.schema.Type;
 
 import org.apache.spark.memory.MemoryMode;
diff --git a/sql/core/src/test/java/test/org/apache/spark/sql/JavaDatasetSuite.java b/sql/core/src/test/java/test/org/apache/spark/sql/JavaDatasetSuite.java
index 86db8df4c0..a6c819373b 100644
--- a/sql/core/src/test/java/test/org/apache/spark/sql/JavaDatasetSuite.java
+++ b/sql/core/src/test/java/test/org/apache/spark/sql/JavaDatasetSuite.java
@@ -169,12 +169,14 @@ public class JavaDatasetSuite implements Serializable {
   public void testGroupBy() {
     List<String> data = Arrays.asList("a", "foo", "bar");
     Dataset<String> ds = context.createDataset(data, Encoders.STRING());
-    KeyValueGroupedDataset<Integer, String> grouped = ds.groupByKey(new MapFunction<String, Integer>() {
-      @Override
-      public Integer call(String v) throws Exception {
-        return v.length();
-      }
-    }, Encoders.INT());
+    KeyValueGroupedDataset<Integer, String> grouped = ds.groupByKey(
+      new MapFunction<String, Integer>() {
+        @Override
+        public Integer call(String v) throws Exception {
+          return v.length();
+        }
+      },
+      Encoders.INT());
 
     Dataset<String> mapped = grouped.mapGroups(new MapGroupsFunction<Integer, String, String>() {
       @Override
@@ -217,12 +219,14 @@ public class JavaDatasetSuite implements Serializable {
 
     List<Integer> data2 = Arrays.asList(2, 6, 10);
     Dataset<Integer> ds2 = context.createDataset(data2, Encoders.INT());
-    KeyValueGroupedDataset<Integer, Integer> grouped2 = ds2.groupByKey(new MapFunction<Integer, Integer>() {
-      @Override
-      public Integer call(Integer v) throws Exception {
-        return v / 2;
-      }
-    }, Encoders.INT());
+    KeyValueGroupedDataset<Integer, Integer> grouped2 = ds2.groupByKey(
+      new MapFunction<Integer, Integer>() {
+        @Override
+        public Integer call(Integer v) throws Exception {
+          return v / 2;
+        }
+      },
+      Encoders.INT());
 
     Dataset<String> cogrouped = grouped.cogroup(
       grouped2,