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authoruncleGen <hustyugm@gmail.com>2015-01-13 10:07:19 -0800
committerAndrew Or <andrew@databricks.com>2015-01-13 10:07:19 -0800
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[SPARK-5131][Streaming][DOC]: There is a discrepancy in WAL implementation and configuration doc.
There is a discrepancy in WAL implementation and configuration doc. Author: uncleGen <hustyugm@gmail.com> Closes #3930 from uncleGen/master-clean-doc and squashes the following commits: 3a4245f [uncleGen] doc typo 8e407d3 [uncleGen] doc typo
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1 files changed, 1 insertions, 1 deletions
diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md
index 01450efe35..e37a2bb37b 100644
--- a/docs/streaming-programming-guide.md
+++ b/docs/streaming-programming-guide.md
@@ -1574,7 +1574,7 @@ To run a Spark Streaming applications, you need to have the following.
recovery, thus ensuring zero data loss (discussed in detail in the
[Fault-tolerance Semantics](#fault-tolerance-semantics) section). This can be enabled by setting
the [configuration parameter](configuration.html#spark-streaming)
- `spark.streaming.receiver.writeAheadLogs.enable` to `true`. However, these stronger semantics may
+ `spark.streaming.receiver.writeAheadLog.enable` to `true`. However, these stronger semantics may
come at the cost of the receiving throughput of individual receivers. This can be corrected by
running [more receivers in parallel](#level-of-parallelism-in-data-receiving)
to increase aggregate throughput. Additionally, it is recommended that the replication of the