[HOTFIX] fix duplicated braces

Author: Davies Liu <[email protected]>

Closes apache#8219 from davies/fix_typo.

Author: Davies Liu

core/src/main/scala/org/apache/spark/storage/BlockManager.scala

@@ -222,7 +222,7 @@ private[spark] class BlockManager(
         return
       } catch {
         case e: Exception if i < MAX_ATTEMPTS =>
-          logError(s"Failed to connect to external shuffle server, will retry ${MAX_ATTEMPTS - i}}"
+          logError(s"Failed to connect to external shuffle server, will retry ${MAX_ATTEMPTS - i}"
             + s" more times after waiting $SLEEP_TIME_SECS seconds...", e)
           Thread.sleep(SLEEP_TIME_SECS * 1000)
       }

core/src/main/scala/org/apache/spark/storage/BlockManagerMaster.scala

@@ -103,7 +103,7 @@ class BlockManagerMaster(
     val future = driverEndpoint.askWithRetry[Future[Seq[Int]]](RemoveRdd(rddId))
     future.onFailure {
       case e: Exception =>
-        logWarning(s"Failed to remove RDD $rddId - ${e.getMessage}}", e)
+        logWarning(s"Failed to remove RDD $rddId - ${e.getMessage}", e)
     }(ThreadUtils.sameThread)
     if (blocking) {
       timeout.awaitResult(future)
@@ -115,7 +115,7 @@ class BlockManagerMaster(
     val future = driverEndpoint.askWithRetry[Future[Seq[Boolean]]](RemoveShuffle(shuffleId))
     future.onFailure {
       case e: Exception =>
-        logWarning(s"Failed to remove shuffle $shuffleId - ${e.getMessage}}", e)
+        logWarning(s"Failed to remove shuffle $shuffleId - ${e.getMessage}", e)
     }(ThreadUtils.sameThread)
     if (blocking) {
       timeout.awaitResult(future)
@@ -129,7 +129,7 @@ class BlockManagerMaster(
     future.onFailure {
       case e: Exception =>
         logWarning(s"Failed to remove broadcast $broadcastId" +
-          s" with removeFromMaster = $removeFromMaster - ${e.getMessage}}", e)
+          s" with removeFromMaster = $removeFromMaster - ${e.getMessage}", e)
     }(ThreadUtils.sameThread)
     if (blocking) {
       timeout.awaitResult(future)

core/src/main/scala/org/apache/spark/util/ClosureCleaner.scala

@@ -181,7 +181,7 @@ private[spark] object ClosureCleaner extends Logging {
       return
     }
 
-    logDebug(s"+++ Cleaning closure $func (${func.getClass.getName}}) +++")
+    logDebug(s"+++ Cleaning closure $func (${func.getClass.getName}) +++")
 
     // A list of classes that represents closures enclosed in the given one
     val innerClasses = getInnerClosureClasses(func)

core/src/main/scala/org/apache/spark/util/Utils.scala

@@ -1366,7 +1366,7 @@ private[spark] object Utils extends Logging {
           file.getAbsolutePath, effectiveStartIndex, effectiveEndIndex))
       }
       sum += fileToLength(file)
-      logDebug(s"After processing file $file, string built is ${stringBuffer.toString}}")
+      logDebug(s"After processing file $file, string built is ${stringBuffer.toString}")
     }
     stringBuffer.toString
   }

examples/src/main/scala/org/apache/spark/examples/ml/MovieLensALS.scala

@@ -76,7 +76,7 @@ object MovieLensALS {
         .text("path to a MovieLens dataset of movies")
         .action((x, c) => c.copy(movies = x))
       opt[Int]("rank")
-        .text(s"rank, default: ${defaultParams.rank}}")
+        .text(s"rank, default: ${defaultParams.rank}")
         .action((x, c) => c.copy(rank = x))
       opt[Int]("maxIter")
         .text(s"max number of iterations, default: ${defaultParams.maxIter}")

examples/src/main/scala/org/apache/spark/examples/mllib/DecisionTreeRunner.scala

@@ -100,7 +100,7 @@ object DecisionTreeRunner {
         .action((x, c) => c.copy(numTrees = x))
       opt[String]("featureSubsetStrategy")
         .text(s"feature subset sampling strategy" +
-          s" (${RandomForest.supportedFeatureSubsetStrategies.mkString(", ")}}), " +
+          s" (${RandomForest.supportedFeatureSubsetStrategies.mkString(", ")}), " +
           s"default: ${defaultParams.featureSubsetStrategy}")
         .action((x, c) => c.copy(featureSubsetStrategy = x))
       opt[Double]("fracTest")

examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala

@@ -55,7 +55,7 @@ object MovieLensALS {
     val parser = new OptionParser[Params]("MovieLensALS") {
       head("MovieLensALS: an example app for ALS on MovieLens data.")
       opt[Int]("rank")
-        .text(s"rank, default: ${defaultParams.rank}}")
+        .text(s"rank, default: ${defaultParams.rank}")
         .action((x, c) => c.copy(rank = x))
       opt[Int]("numIterations")
         .text(s"number of iterations, default: ${defaultParams.numIterations}")

mllib/src/main/scala/org/apache/spark/mllib/linalg/BLAS.scala

@@ -469,7 +469,7 @@ private[spark] object BLAS extends Serializable with Logging {
     require(A.numCols == x.size,
       s"The columns of A don't match the number of elements of x. A: ${A.numCols}, x: ${x.size}")
     require(A.numRows == y.size,
-      s"The rows of A don't match the number of elements of y. A: ${A.numRows}, y:${y.size}}")
+      s"The rows of A don't match the number of elements of y. A: ${A.numRows}, y:${y.size}")
     if (alpha == 0.0) {
       logDebug("gemv: alpha is equal to 0. Returning y.")
     } else {

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/HiveTypeCoercion.scala

@@ -164,7 +164,7 @@ object HiveTypeCoercion {
               // Leave the same if the dataTypes match.
               case Some(newType) if a.dataType == newType.dataType => a
               case Some(newType) =>
-                logDebug(s"Promoting $a to $newType in ${q.simpleString}}")
+                logDebug(s"Promoting $a to $newType in ${q.simpleString}")
                 newType
             }
         }

sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala

@@ -170,7 +170,7 @@ object JdbcUtils extends Logging {
             case BinaryType => "BLOB"
             case TimestampType => "TIMESTAMP"
             case DateType => "DATE"
-            case t: DecimalType => s"DECIMAL(${t.precision}},${t.scale}})"
+            case t: DecimalType => s"DECIMAL(${t.precision},${t.scale})"
             case _ => throw new IllegalArgumentException(s"Don't know how to save $field to JDBC")
           })
       val nullable = if (field.nullable) "" else "NOT NULL"

sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLListener.scala

@@ -162,7 +162,7 @@ private[sql] class SQLListener(sqlContext: SQLContext) extends SparkListener wit
           // A task of an old stage attempt. Because a new stage is submitted, we can ignore it.
         } else if (stageAttemptID > stageMetrics.stageAttemptId) {
           logWarning(s"A task should not have a higher stageAttemptID ($stageAttemptID) then " +
-            s"what we have seen (${stageMetrics.stageAttemptId}})")
+            s"what we have seen (${stageMetrics.stageAttemptId})")
         } else {
           // TODO We don't know the attemptId. Currently, what we can do is overriding the
           // accumulator updates. However, if there are two same task are running, such as

streaming/src/main/scala/org/apache/spark/streaming/rdd/WriteAheadLogBackedBlockRDD.scala

@@ -84,7 +84,7 @@ class WriteAheadLogBackedBlockRDD[T: ClassTag](
   require(
     blockIds.length == walRecordHandles.length,
     s"Number of block Ids (${blockIds.length}) must be " +
-      s" same as number of WAL record handles (${walRecordHandles.length}})")
+      s" same as number of WAL record handles (${walRecordHandles.length})")
 
   require(
     isBlockIdValid.isEmpty || isBlockIdValid.length == blockIds.length,

streaming/src/main/scala/org/apache/spark/streaming/scheduler/InputInfoTracker.scala

@@ -66,7 +66,7 @@ private[streaming] class InputInfoTracker(ssc: StreamingContext) extends Logging
       new mutable.HashMap[Int, StreamInputInfo]())
 
     if (inputInfos.contains(inputInfo.inputStreamId)) {
-      throw new IllegalStateException(s"Input stream ${inputInfo.inputStreamId}} for batch" +
+      throw new IllegalStateException(s"Input stream ${inputInfo.inputStreamId} for batch" +
         s"$batchTime is already added into InputInfoTracker, this is a illegal state")
     }
     inputInfos += ((inputInfo.inputStreamId, inputInfo))