[MINOR][BUILD] Fix Java linter errors

apache · Jan 12, 2018 · 752daa3 · 752daa3
1 parent b5042d7
commit 752daa3
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Showing 4 changed files with 5 additions and 4 deletions.
diff --git a/common/unsafe/src/main/java/org/apache/spark/unsafe/memory/HeapMemoryAllocator.java b/common/unsafe/src/main/java/org/apache/spark/unsafe/memory/HeapMemoryAllocator.java
@@ -82,7 +82,8 @@ public void free(MemoryBlock memory) {
       "page has already been freed";
     assert ((memory.pageNumber == MemoryBlock.NO_PAGE_NUMBER)
             || (memory.pageNumber == MemoryBlock.FREED_IN_TMM_PAGE_NUMBER)) :
-      "TMM-allocated pages must first be freed via TMM.freePage(), not directly in allocator free()";
+      "TMM-allocated pages must first be freed via TMM.freePage(), not directly in allocator " +
+        "free()";
 
     final long size = memory.size();
     if (MemoryAllocator.MEMORY_DEBUG_FILL_ENABLED) {

diff --git a/launcher/src/main/java/org/apache/spark/launcher/InProcessAppHandle.java b/launcher/src/main/java/org/apache/spark/launcher/InProcessAppHandle.java
@@ -17,7 +17,6 @@
 
 package org.apache.spark.launcher;
 
-import java.io.IOException;
 import java.lang.reflect.Method;
 import java.util.concurrent.atomic.AtomicLong;
 import java.util.logging.Level;

diff --git a/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnVector.java b/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnVector.java
@@ -38,7 +38,7 @@ public class OrcColumnVector extends org.apache.spark.sql.vectorized.ColumnVecto
   private BytesColumnVector bytesData;
   private DecimalColumnVector decimalData;
   private TimestampColumnVector timestampData;
-  final private boolean isTimestamp;
+  private final boolean isTimestamp;
 
   private int batchSize;
 

diff --git a/sql/core/src/test/java/test/org/apache/spark/sql/JavaDataFrameSuite.java b/sql/core/src/test/java/test/org/apache/spark/sql/JavaDataFrameSuite.java
@@ -461,7 +461,8 @@ public void testCircularReferenceBean() {
   public void testUDF() {
     UserDefinedFunction foo = udf((Integer i, String s) -> i.toString() + s, DataTypes.StringType);
     Dataset<Row> df = spark.table("testData").select(foo.apply(col("key"), col("value")));
-    String[] result = df.collectAsList().stream().map(row -> row.getString(0)).toArray(String[]::new);
+    String[] result = df.collectAsList().stream().map(row -> row.getString(0))
+      .toArray(String[]::new);
     String[] expected = spark.table("testData").collectAsList().stream()
       .map(row -> row.get(0).toString() + row.getString(1)).toArray(String[]::new);
     Assert.assertArrayEquals(expected, result);