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author | Reynold Xin <rxin@databricks.com> | 2015-05-31 00:47:56 -0700 |
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committer | Reynold Xin <rxin@databricks.com> | 2015-05-31 00:47:56 -0700 |
commit | 564bc11e9827915c8652bc06f4bd591809dea4b1 (patch) | |
tree | 1a3fe6ff9f78bef3d991897effe554098018a1b4 /external/kafka/src/main | |
parent | 74fdc97c7206c6d715f128ef7c46055e0bb90760 (diff) | |
download | spark-564bc11e9827915c8652bc06f4bd591809dea4b1.tar.gz spark-564bc11e9827915c8652bc06f4bd591809dea4b1.tar.bz2 spark-564bc11e9827915c8652bc06f4bd591809dea4b1.zip |
[SPARK-3850] Trim trailing spaces for examples/streaming/yarn.
Author: Reynold Xin <rxin@databricks.com>
Closes #6530 from rxin/trim-whitespace-1 and squashes the following commits:
7b7b3a0 [Reynold Xin] Reset again.
dc14597 [Reynold Xin] Reset scalastyle.
cd556c4 [Reynold Xin] YARN, Kinesis, Flume.
4223fe1 [Reynold Xin] [SPARK-3850] Trim trailing spaces for examples/streaming.
Diffstat (limited to 'external/kafka/src/main')
-rw-r--r-- | external/kafka/src/main/scala/org/apache/spark/streaming/kafka/KafkaCluster.scala | 2 | ||||
-rw-r--r-- | external/kafka/src/main/scala/org/apache/spark/streaming/kafka/KafkaUtils.scala | 8 |
2 files changed, 5 insertions, 5 deletions
diff --git a/external/kafka/src/main/scala/org/apache/spark/streaming/kafka/KafkaCluster.scala b/external/kafka/src/main/scala/org/apache/spark/streaming/kafka/KafkaCluster.scala index 6cf254a7b6..65d51d87f8 100644 --- a/external/kafka/src/main/scala/org/apache/spark/streaming/kafka/KafkaCluster.scala +++ b/external/kafka/src/main/scala/org/apache/spark/streaming/kafka/KafkaCluster.scala @@ -113,7 +113,7 @@ class KafkaCluster(val kafkaParams: Map[String, String]) extends Serializable { r.flatMap { tm: TopicMetadata => tm.partitionsMetadata.map { pm: PartitionMetadata => TopicAndPartition(tm.topic, pm.partitionId) - } + } } } } diff --git a/external/kafka/src/main/scala/org/apache/spark/streaming/kafka/KafkaUtils.scala b/external/kafka/src/main/scala/org/apache/spark/streaming/kafka/KafkaUtils.scala index 8be2707528..0b8a391a2c 100644 --- a/external/kafka/src/main/scala/org/apache/spark/streaming/kafka/KafkaUtils.scala +++ b/external/kafka/src/main/scala/org/apache/spark/streaming/kafka/KafkaUtils.scala @@ -315,7 +315,7 @@ object KafkaUtils { * Points to note: * - No receivers: This stream does not use any receiver. It directly queries Kafka * - Offsets: This does not use Zookeeper to store offsets. The consumed offsets are tracked - * by the stream itself. For interoperability with Kafka monitoring tools that depend on + * by the stream itself. For interoperability with Kafka monitoring tools that depend on * Zookeeper, you have to update Kafka/Zookeeper yourself from the streaming application. * You can access the offsets used in each batch from the generated RDDs (see * [[org.apache.spark.streaming.kafka.HasOffsetRanges]]). @@ -363,7 +363,7 @@ object KafkaUtils { * Points to note: * - No receivers: This stream does not use any receiver. It directly queries Kafka * - Offsets: This does not use Zookeeper to store offsets. The consumed offsets are tracked - * by the stream itself. For interoperability with Kafka monitoring tools that depend on + * by the stream itself. For interoperability with Kafka monitoring tools that depend on * Zookeeper, you have to update Kafka/Zookeeper yourself from the streaming application. * You can access the offsets used in each batch from the generated RDDs (see * [[org.apache.spark.streaming.kafka.HasOffsetRanges]]). @@ -427,7 +427,7 @@ object KafkaUtils { * Points to note: * - No receivers: This stream does not use any receiver. It directly queries Kafka * - Offsets: This does not use Zookeeper to store offsets. The consumed offsets are tracked - * by the stream itself. For interoperability with Kafka monitoring tools that depend on + * by the stream itself. For interoperability with Kafka monitoring tools that depend on * Zookeeper, you have to update Kafka/Zookeeper yourself from the streaming application. * You can access the offsets used in each batch from the generated RDDs (see * [[org.apache.spark.streaming.kafka.HasOffsetRanges]]). @@ -489,7 +489,7 @@ object KafkaUtils { * Points to note: * - No receivers: This stream does not use any receiver. It directly queries Kafka * - Offsets: This does not use Zookeeper to store offsets. The consumed offsets are tracked - * by the stream itself. For interoperability with Kafka monitoring tools that depend on + * by the stream itself. For interoperability with Kafka monitoring tools that depend on * Zookeeper, you have to update Kafka/Zookeeper yourself from the streaming application. * You can access the offsets used in each batch from the generated RDDs (see * [[org.apache.spark.streaming.kafka.HasOffsetRanges]]). |