diff --git a/core/src/main/scala/org/apache/spark/rdd/RDD.scala b/core/src/main/scala/org/apache/spark/rdd/RDD.scala
index 1b67e99064..eafe3b17c2 100644
--- a/core/src/main/scala/org/apache/spark/rdd/RDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/RDD.scala
@@ -372,7 +372,7 @@ abstract class RDD[T: ClassTag](
*/
def map[U: ClassTag](f: T => U): RDD[U] = withScope {
val cleanF = sc.clean(f)
- new MapPartitionsRDD[U, T](this, (context, pid, iter) => iter.map(cleanF))
+ new MapPartitionsRDD[U, T](this, (_, _, iter) => iter.map(cleanF))
}
/**
@@ -381,7 +381,7 @@ abstract class RDD[T: ClassTag](
*/
def flatMap[U: ClassTag](f: T => TraversableOnce[U]): RDD[U] = withScope {
val cleanF = sc.clean(f)
- new MapPartitionsRDD[U, T](this, (context, pid, iter) => iter.flatMap(cleanF))
+ new MapPartitionsRDD[U, T](this, (_, _, iter) => iter.flatMap(cleanF))
}
/**
@@ -391,7 +391,7 @@ abstract class RDD[T: ClassTag](
val cleanF = sc.clean(f)
new MapPartitionsRDD[T, T](
this,
- (context, pid, iter) => iter.filter(cleanF),
+ (_, _, iter) => iter.filter(cleanF),
preservesPartitioning = true)
}
@@ -402,16 +402,16 @@ abstract class RDD[T: ClassTag](
def removeDuplicatesInPartition(partition: Iterator[T]): Iterator[T] = {
// Create an instance of external append only map which ignores values.
val map = new ExternalAppendOnlyMap[T, Null, Null](
- createCombiner = value => null,
+ createCombiner = _ => null,
mergeValue = (a, b) => a,
mergeCombiners = (a, b) => a)
map.insertAll(partition.map(_ -> null))
map.iterator.map(_._1)
}
partitioner match {
- case Some(p) if numPartitions == partitions.length =>
+ case Some(_) if numPartitions == partitions.length =>
mapPartitions(removeDuplicatesInPartition, preservesPartitioning = true)
- case _ => map(x => (x, null)).reduceByKey((x, y) => x, numPartitions).map(_._1)
+ case _ => map(x => (x, null)).reduceByKey((x, _) => x, numPartitions).map(_._1)
}
}
@@ -684,7 +684,7 @@ abstract class RDD[T: ClassTag](
* Return an RDD created by coalescing all elements within each partition into an array.
*/
def glom(): RDD[Array[T]] = withScope {
- new MapPartitionsRDD[Array[T], T](this, (context, pid, iter) => Iterator(iter.toArray))
+ new MapPartitionsRDD[Array[T], T](this, (_, _, iter) => Iterator(iter.toArray))
}
/**
@@ -814,7 +814,7 @@ abstract class RDD[T: ClassTag](
val cleanedF = sc.clean(f)
new MapPartitionsRDD(
this,
- (context: TaskContext, index: Int, iter: Iterator[T]) => cleanedF(iter),
+ (_: TaskContext, _: Int, iter: Iterator[T]) => cleanedF(iter),
preservesPartitioning)
}
@@ -836,7 +836,7 @@ abstract class RDD[T: ClassTag](
isOrderSensitive: Boolean = false): RDD[U] = withScope {
new MapPartitionsRDD(
this,
- (context: TaskContext, index: Int, iter: Iterator[T]) => f(index, iter),
+ (_: TaskContext, index: Int, iter: Iterator[T]) => f(index, iter),
preservesPartitioning = preservesPartitioning,
isOrderSensitive = isOrderSensitive)
}
@@ -849,7 +849,7 @@ abstract class RDD[T: ClassTag](
preservesPartitioning: Boolean = false): RDD[U] = withScope {
new MapPartitionsRDD(
this,
- (context: TaskContext, index: Int, iter: Iterator[T]) => f(iter),
+ (_: TaskContext, _: Int, iter: Iterator[T]) => f(iter),
preservesPartitioning)
}
@@ -866,7 +866,7 @@ abstract class RDD[T: ClassTag](
val cleanedF = sc.clean(f)
new MapPartitionsRDD(
this,
- (context: TaskContext, index: Int, iter: Iterator[T]) => cleanedF(index, iter),
+ (_: TaskContext, index: Int, iter: Iterator[T]) => cleanedF(index, iter),
preservesPartitioning)
}
@@ -1040,7 +1040,7 @@ abstract class RDD[T: ClassTag](
}
}
var jobResult: Option[T] = None
- val mergeResult = (index: Int, taskResult: Option[T]) => {
+ val mergeResult = (_: Int, taskResult: Option[T]) => {
if (taskResult.isDefined) {
jobResult = jobResult match {
case Some(value) => Some(f(value, taskResult.get))
@@ -1110,7 +1110,7 @@ abstract class RDD[T: ClassTag](
var jobResult = Utils.clone(zeroValue, sc.env.closureSerializer.newInstance())
val cleanOp = sc.clean(op)
val foldPartition = (iter: Iterator[T]) => iter.fold(zeroValue)(cleanOp)
- val mergeResult = (index: Int, taskResult: T) => jobResult = op(jobResult, taskResult)
+ val mergeResult = (_: Int, taskResult: T) => jobResult = op(jobResult, taskResult)
sc.runJob(this, foldPartition, mergeResult)
jobResult
}
@@ -1136,7 +1136,7 @@ abstract class RDD[T: ClassTag](
val cleanSeqOp = sc.clean(seqOp)
val cleanCombOp = sc.clean(combOp)
val aggregatePartition = (it: Iterator[T]) => it.aggregate(zeroValue)(cleanSeqOp, cleanCombOp)
- val mergeResult = (index: Int, taskResult: U) => jobResult = combOp(jobResult, taskResult)
+ val mergeResult = (_: Int, taskResult: U) => jobResult = combOp(jobResult, taskResult)
sc.runJob(this, aggregatePartition, mergeResult)
jobResult
}
@@ -1201,7 +1201,7 @@ abstract class RDD[T: ClassTag](
timeout: Long,
confidence: Double = 0.95): PartialResult[BoundedDouble] = withScope {
require(0.0 <= confidence && confidence <= 1.0, s"confidence ($confidence) must be in [0,1]")
- val countElements: (TaskContext, Iterator[T]) => Long = { (ctx, iter) =>
+ val countElements: (TaskContext, Iterator[T]) => Long = { (_, iter) =>
var result = 0L
while (iter.hasNext) {
result += 1L
@@ -1244,7 +1244,7 @@ abstract class RDD[T: ClassTag](
if (elementClassTag.runtimeClass.isArray) {
throw new SparkException("countByValueApprox() does not support arrays")
}
- val countPartition: (TaskContext, Iterator[T]) => OpenHashMap[T, Long] = { (ctx, iter) =>
+ val countPartition: (TaskContext, Iterator[T]) => OpenHashMap[T, Long] = { (_, iter) =>
val map = new OpenHashMap[T, Long]
iter.foreach {
t => map.changeValue(t, 1L, _ + 1L)
diff --git a/core/src/test/scala/org/apache/spark/InternalAccumulatorSuite.scala b/core/src/test/scala/org/apache/spark/InternalAccumulatorSuite.scala
index 62824a5bec..e7eef8ec51 100644
--- a/core/src/test/scala/org/apache/spark/InternalAccumulatorSuite.scala
+++ b/core/src/test/scala/org/apache/spark/InternalAccumulatorSuite.scala
@@ -71,7 +71,7 @@ class InternalAccumulatorSuite extends SparkFunSuite with LocalSparkContext {
taskAccum.value.get.asInstanceOf[Long]
}
// Each task should keep track of the partial value on the way, i.e. 1, 2, ... numPartitions
- assert(taskAccumValues.sorted === (1L to numPartitions).toSeq)
+ assert(taskAccumValues.sorted === (1L to numPartitions))
}
rdd.count()
listener.awaitNextJobCompletion()
diff --git a/docs/structured-streaming-kafka-integration.md b/docs/structured-streaming-kafka-integration.md
index b0009e0170..9a6e302656 100644
--- a/docs/structured-streaming-kafka-integration.md
+++ b/docs/structured-streaming-kafka-integration.md
@@ -404,7 +404,7 @@ The following configurations are optional:
| spark-kafka-source |
streaming and batch |
Prefix of consumer group identifiers (`group.id`) that are generated by structured streaming
- queries. If "kafka.group.id" is set, this option will be ignored. |
+ queries. If "kafka.group.id" is set, this option will be ignored.
| kafka.group.id |
@@ -421,7 +421,7 @@ The following configurations are optional:
same group id are likely interfere with each other causing each query to read only part of the
data. This may also occur when queries are started/restarted in quick succession. To minimize such
issues, set the Kafka consumer session timeout (by setting option "kafka.session.timeout.ms") to
- be very small. When this is set, option "groupIdPrefix" will be ignored.
+ be very small. When this is set, option "groupIdPrefix" will be ignored.
diff --git a/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeMapData.java b/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeMapData.java
index 60ac69b059..58973e7a3a 100644
--- a/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeMapData.java
+++ b/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeMapData.java
@@ -143,7 +143,7 @@ public final class UnsafeMapData extends MapData implements Externalizable, Kryo
}
@Override
- public void readExternal(ObjectInput in) throws IOException, ClassNotFoundException {
+ public void readExternal(ObjectInput in) throws IOException {
this.baseOffset = BYTE_ARRAY_OFFSET;
this.sizeInBytes = in.readInt();
this.baseObject = new byte[sizeInBytes];
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/package.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/package.scala
index 932c364737..7164b6b82a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/package.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/package.scala
@@ -177,7 +177,7 @@ package object expressions {
a => (resolver(dbPart, a.qualifier.head) && resolver(tblPart, a.qualifier.last))
}
(attributes, nestedFields)
- case all =>
+ case _ =>
(Seq.empty, Seq.empty)
}
@@ -197,7 +197,7 @@ package object expressions {
resolver(qualifier, a.qualifier.last)
}
(attributes, nestedFields)
- case all =>
+ case _ =>
(Seq.empty[Attribute], Seq.empty[String])
}
}
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ObjectExpressionsSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ObjectExpressionsSuite.scala
index b6ca52f1d9..a171885471 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ObjectExpressionsSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ObjectExpressionsSuite.scala
@@ -330,9 +330,9 @@ class ObjectExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper {
case null =>
assert(result.asInstanceOf[ArrayData].array.toSeq == expected)
case l if classOf[java.util.List[_]].isAssignableFrom(l) =>
- assert(result.asInstanceOf[java.util.List[_]].asScala.toSeq == expected)
+ assert(result.asInstanceOf[java.util.List[_]].asScala == expected)
case s if classOf[Seq[_]].isAssignableFrom(s) =>
- assert(result.asInstanceOf[Seq[_]].toSeq == expected)
+ assert(result.asInstanceOf[Seq[_]] == expected)
case s if classOf[scala.collection.Set[_]].isAssignableFrom(s) =>
assert(result.asInstanceOf[scala.collection.Set[_]] == expected.toSet)
}
@@ -532,8 +532,6 @@ class ObjectExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper {
private def scalaMapSerializerFor[T: TypeTag, U: TypeTag](inputObject: Expression): Expression = {
import org.apache.spark.sql.catalyst.ScalaReflection._
- val curId = new java.util.concurrent.atomic.AtomicInteger()
-
def kvSerializerFor[V: TypeTag](inputObject: Expression): Expression =
localTypeOf[V].dealias match {
case t if t <:< localTypeOf[java.lang.Integer] =>
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/UnsafeArraySuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/UnsafeArraySuite.scala
index 61ce63faf0..0b9e023b0b 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/UnsafeArraySuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/UnsafeArraySuite.scala
@@ -40,7 +40,6 @@ class UnsafeArraySuite extends SparkFunSuite {
val dateArray = Array(
DateTimeUtils.stringToDate(UTF8String.fromString("1970-1-1")).get,
DateTimeUtils.stringToDate(UTF8String.fromString("2016-7-26")).get)
- private def defaultTz = DateTimeUtils.defaultTimeZone()
private def defaultZoneId = ZoneId.systemDefault()
val timestampArray = Array(
DateTimeUtils.stringToTimestamp(
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/sources/FilteredScanSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/sources/FilteredScanSuite.scala
index daac207caf..2b39bda97b 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/sources/FilteredScanSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/sources/FilteredScanSuite.scala
@@ -51,13 +51,13 @@ case class SimpleFilteredScan(from: Int, to: Int)(@transient val sparkSession: S
override def unhandledFilters(filters: Array[Filter]): Array[Filter] = {
def unhandled(filter: Filter): Boolean = {
filter match {
- case EqualTo(col, v) => col == "b"
- case EqualNullSafe(col, v) => col == "b"
- case LessThan(col, v: Int) => col == "b"
- case LessThanOrEqual(col, v: Int) => col == "b"
- case GreaterThan(col, v: Int) => col == "b"
- case GreaterThanOrEqual(col, v: Int) => col == "b"
- case In(col, values) => col == "b"
+ case EqualTo(col, _) => col == "b"
+ case EqualNullSafe(col, _) => col == "b"
+ case LessThan(col, _: Int) => col == "b"
+ case LessThanOrEqual(col, _: Int) => col == "b"
+ case GreaterThan(col, _: Int) => col == "b"
+ case GreaterThanOrEqual(col, _: Int) => col == "b"
+ case In(col, _) => col == "b"
case IsNull(col) => col == "b"
case IsNotNull(col) => col == "b"
case Not(pred) => unhandled(pred)
@@ -107,7 +107,7 @@ case class SimpleFilteredScan(from: Int, to: Int)(@transient val sparkSession: S
case StringEndsWith("c", v) => _.endsWith(v)
case StringContains("c", v) => _.contains(v)
case EqualTo("c", v: String) => _.equals(v)
- case EqualTo("c", v: UTF8String) => sys.error("UTF8String should not appear in filters")
+ case EqualTo("c", _: UTF8String) => sys.error("UTF8String should not appear in filters")
case In("c", values) => (s: String) => values.map(_.asInstanceOf[String]).toSet.contains(s)
case _ => (c: String) => true
}
@@ -152,39 +152,39 @@ class FilteredScanSuite extends DataSourceTest with SharedSQLContext with Predic
sqlTest(
"SELECT * FROM oneToTenFiltered",
(1 to 10).map(i => Row(i, i * 2, (i - 1 + 'a').toChar.toString * 5
- + (i - 1 + 'a').toChar.toString.toUpperCase(Locale.ROOT) * 5)).toSeq)
+ + (i - 1 + 'a').toChar.toString.toUpperCase(Locale.ROOT) * 5)))
sqlTest(
"SELECT a, b FROM oneToTenFiltered",
- (1 to 10).map(i => Row(i, i * 2)).toSeq)
+ (1 to 10).map(i => Row(i, i * 2)))
sqlTest(
"SELECT b, a FROM oneToTenFiltered",
- (1 to 10).map(i => Row(i * 2, i)).toSeq)
+ (1 to 10).map(i => Row(i * 2, i)))
sqlTest(
"SELECT a FROM oneToTenFiltered",
- (1 to 10).map(i => Row(i)).toSeq)
+ (1 to 10).map(i => Row(i)))
sqlTest(
"SELECT b FROM oneToTenFiltered",
- (1 to 10).map(i => Row(i * 2)).toSeq)
+ (1 to 10).map(i => Row(i * 2)))
sqlTest(
"SELECT a * 2 FROM oneToTenFiltered",
- (1 to 10).map(i => Row(i * 2)).toSeq)
+ (1 to 10).map(i => Row(i * 2)))
sqlTest(
"SELECT A AS b FROM oneToTenFiltered",
- (1 to 10).map(i => Row(i)).toSeq)
+ (1 to 10).map(i => Row(i)))
sqlTest(
"SELECT x.b, y.a FROM oneToTenFiltered x JOIN oneToTenFiltered y ON x.a = y.b",
- (1 to 5).map(i => Row(i * 4, i)).toSeq)
+ (1 to 5).map(i => Row(i * 4, i)))
sqlTest(
"SELECT x.a, y.b FROM oneToTenFiltered x JOIN oneToTenFiltered y ON x.a = y.b",
- (2 to 10 by 2).map(i => Row(i, i)).toSeq)
+ (2 to 10 by 2).map(i => Row(i, i)))
sqlTest(
"SELECT a, b FROM oneToTenFiltered WHERE a = 1",
@@ -208,11 +208,11 @@ class FilteredScanSuite extends DataSourceTest with SharedSQLContext with Predic
sqlTest(
"SELECT a, b FROM oneToTenFiltered WHERE a IS NOT NULL",
- (1 to 10).map(i => Row(i, i * 2)).toSeq)
+ (1 to 10).map(i => Row(i, i * 2)))
sqlTest(
"SELECT a, b FROM oneToTenFiltered WHERE a < 5 AND a > 1",
- (2 to 4).map(i => Row(i, i * 2)).toSeq)
+ (2 to 4).map(i => Row(i, i * 2)))
sqlTest(
"SELECT a, b FROM oneToTenFiltered WHERE a < 3 OR a > 8",
@@ -220,7 +220,7 @@ class FilteredScanSuite extends DataSourceTest with SharedSQLContext with Predic
sqlTest(
"SELECT a, b FROM oneToTenFiltered WHERE NOT (a < 6)",
- (6 to 10).map(i => Row(i, i * 2)).toSeq)
+ (6 to 10).map(i => Row(i, i * 2)))
sqlTest(
"SELECT a, b, c FROM oneToTenFiltered WHERE c like 'c%'",