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authorTathagata Das <tathagata.das1565@gmail.com>2013-02-23 17:42:26 -0800
committerTathagata Das <tathagata.das1565@gmail.com>2013-02-23 17:42:26 -0800
commitd853aa9658a87d644d483b1fa9d41c29e3ac0673 (patch)
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parent41285eaae3642b73b3ac5007a35cc4e8f1d7d084 (diff)
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Change spark.cleaner.delay to spark.cleaner.ttl. Updated docs.
Diffstat (limited to 'docs/configuration.md')
-rw-r--r--docs/configuration.md6
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/configuration.md b/docs/configuration.md
index f1ca77aa78..04eb6daaa5 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -183,7 +183,7 @@ Apart from these, the following properties are also available, and may be useful
</tr>
<tr>
<td>spark.broadcast.factory</td>
- <td>spark.broadcast. HttpBroadcastFactory</td>
+ <td>spark.broadcast.HttpBroadcastFactory</td>
<td>
Which broadcast implementation to use.
</td>
@@ -244,10 +244,10 @@ Apart from these, the following properties are also available, and may be useful
</td>
</tr>
<tr>
- <td>spark.cleaner.delay</td>
+ <td>spark.cleaner.ttl</td>
<td>(disable)</td>
<td>
- Duration (minutes) of how long Spark will remember any metadata (stages generated, tasks generated, etc.).
+ Duration (seconds) of how long Spark will remember any metadata (stages generated, tasks generated, etc.).
Periodic cleanups will ensure that metadata older than this duration will be forgetten. This is
useful for running Spark for many hours / days (for example, running 24/7 in case of Spark Streaming
applications). Note that any RDD that persists in memory for more than this duration will be cleared as well.