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authoruncleGen <hustyugm@gmail.com>2015-01-13 10:07:19 -0800
committerAndrew Or <andrew@databricks.com>2015-01-13 10:07:26 -0800
commit78096837c85ca41ce4ffa1aca2663b6d0f14d20d (patch)
treee967bfaed3a16b3adc03db52a90300ced57389ca /docs
parent6d23af6a4d3b864036fef2c80022d438de88cfb5 (diff)
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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 (cherry picked from commit 39e333ec4350ddafe29ee0958c37eec07bec85df) Signed-off-by: Andrew Or <andrew@databricks.com>
Diffstat (limited to 'docs')
-rw-r--r--docs/configuration.md2
-rw-r--r--docs/streaming-programming-guide.md2
2 files changed, 2 insertions, 2 deletions
diff --git a/docs/configuration.md b/docs/configuration.md
index 260cdc4c16..6e9a62c9a9 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -1218,7 +1218,7 @@ Apart from these, the following properties are also available, and may be useful
</td>
</tr>
<tr>
- <td><code>spark.streaming.receiver.writeAheadLogs.enable</code></td>
+ <td><code>spark.streaming.receiver.writeAheadLog.enable</code></td>
<td>false</td>
<td>
Enable write ahead logs for receivers. All the input data received through receivers
diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md
index 1ac5b9e863..1fcc3bcd63 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