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[MINOR] [Docs] typo in docs/configuration.md #9715

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10 changes: 5 additions & 5 deletions docs/configuration.md
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Expand Up @@ -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>
Expand All @@ -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>
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