Run java lint by default (#180)

Author: robert3005

common/network-yarn/src/main/java/org/apache/spark/network/yarn/YarnShuffleService.java

@@ -22,7 +22,6 @@
 import java.lang.reflect.Method;
 import java.nio.ByteBuffer;
 import java.nio.charset.StandardCharsets;
-import java.nio.file.Files;
 import java.util.List;
 import java.util.Map;
 

common/network-yarn/src/main/java/org/apache/spark/network/yarn/YarnShuffleServiceMetrics.java

@@ -53,7 +53,8 @@ public void getMetrics(MetricsCollector collector, boolean all) {
   }
 
   @VisibleForTesting
-  public static void collectMetric(MetricsRecordBuilder metricsRecordBuilder, String name, Metric metric) {
+  public static void collectMetric(
+          MetricsRecordBuilder metricsRecordBuilder, String name, Metric metric) {
 
     // The metric types used in ExternalShuffleBlockHandler.ShuffleMetrics
     if (metric instanceof Timer) {

dev/run-tests.py

@@ -582,7 +582,7 @@ def main():
                                 or f.endswith("checkstyle.xml")
                                 or f.endswith("checkstyle-suppressions.xml")
                                 for f in changed_files):
-        # run_java_style_checks()
+        run_java_style_checks()
         pass
     if not changed_files or any(f.endswith(".py") for f in changed_files):
         run_python_style_checks()

sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java

@@ -154,7 +154,8 @@ public void initialize(InputSplit inputSplit, TaskAttemptContext taskAttemptCont
     ReadSupport.ReadContext readContext = readSupport.init(new InitContext(
         taskAttemptContext.getConfiguration(), toSetMultiMap(fileMetadata), fileSchema));
     this.requestedSchema = readContext.getRequestedSchema();
-    this.reader = ParquetFileReader.open(configuration, file, new ParquetMetadata(footer.getFileMetaData(), blocks));
+    this.reader = ParquetFileReader.open(
+            configuration, file, new ParquetMetadata(footer.getFileMetaData(), blocks));
     this.reader.setRequestedSchema(requestedSchema);
     String sparkRequestedSchemaString =
         configuration.get(ParquetReadSupport$.MODULE$.SPARK_ROW_REQUESTED_SCHEMA());