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authorKai Jiang <jiangkai@gmail.com>2015-11-14 11:59:37 +0000
committerSean Owen <sowen@cloudera.com>2015-11-14 11:59:37 +0000
commit9a73b33a9a440d7312b92df9f6a9b9e17917b582 (patch)
treeecfb8c709197f5662f4c59494ecfbfda6b0d99d0 /docs
parent139c15b624c88b376ffdd05d78795295c8c4fc17 (diff)
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[MINOR][DOCS] typo in docs/configuration.md
`<\code>` end tag missing backslash in docs/configuration.md{L308-L339} ref #8795 Author: Kai Jiang <jiangkai@gmail.com> Closes #9715 from vectorijk/minor-typo-docs.
Diffstat (limited to 'docs')
-rw-r--r--docs/configuration.md10
1 files changed, 5 insertions, 5 deletions
diff --git a/docs/configuration.md b/docs/configuration.md
index c276e8e90d..d961f43acf 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -305,7 +305,7 @@ Apart from these, the following properties are also available, and may be useful
<td>daily</td>
<td>
Set the time interval by which the executor logs will be rolled over.
- Rolling is disabled by default. Valid values are <code>daily</code>, <code>hourly<code>, <code>minutely<code> or
+ Rolling is disabled by default. Valid values are <code>daily</code>, <code>hourly</code>, <code>minutely</code> or
any interval in seconds. See <code>spark.executor.logs.rolling.maxRetainedFiles</code>
for automatic cleaning of old logs.
</td>
@@ -330,13 +330,13 @@ Apart from these, the following properties are also available, and may be useful
<td><code>spark.python.profile</code></td>
<td>false</td>
<td>
- Enable profiling in Python worker, the profile result will show up by <code>sc.show_profiles()<code>,
+ Enable profiling in Python worker, the profile result will show up by <code>sc.show_profiles()</code>,
or it will be displayed before the driver exiting. It also can be dumped into disk by
- <code>sc.dump_profiles(path)<code>. If some of the profile results had been displayed manually,
+ <code>sc.dump_profiles(path)</code>. If some of the profile results had been displayed manually,
they will not be displayed automatically before driver exiting.
- By default the <code>pyspark.profiler.BasicProfiler<code> will be used, but this can be overridden by
- passing a profiler class in as a parameter to the <code>SparkContext<code> constructor.
+ By default the <code>pyspark.profiler.BasicProfiler</code> will be used, but this can be overridden by
+ passing a profiler class in as a parameter to the <code>SparkContext</code> constructor.
</td>
</tr>
<tr>