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-rw-r--r--docs/configuration.md13
1 files changed, 4 insertions, 9 deletions
diff --git a/docs/configuration.md b/docs/configuration.md
index 00864906b3..3bb655075f 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -98,7 +98,7 @@ Apart from these, the following properties are also available, and may be useful
<td>spark.default.parallelism</td>
<td>8</td>
<td>
- Default number of tasks to use for distributed shuffle operations (<code>groupByKey</code>,
+ Default number of tasks to use across the cluster for distributed shuffle operations (<code>groupByKey</code>,
<code>reduceByKey</code>, etc) when not set by user.
</td>
</tr>
@@ -158,7 +158,9 @@ Apart from these, the following properties are also available, and may be useful
<td>spark.shuffle.spill.compress</td>
<td>true</td>
<td>
- Whether to compress data spilled during shuffles.
+ Whether to compress data spilled during shuffles. If enabled, spill compression
+ always uses the `org.apache.spark.io.LZFCompressionCodec` codec,
+ regardless of the value of `spark.io.compression.codec`.
</td>
</tr>
<tr>
@@ -379,13 +381,6 @@ Apart from these, the following properties are also available, and may be useful
Too large a value decreases parallelism during broadcast (makes it slower); however, if it is too small, <code>BlockManager</code> might take a performance hit.
</td>
</tr>
-<tr>
- <td>akka.x.y....</td>
- <td>value</td>
- <td>
- An arbitrary akka configuration can be set directly on spark conf and it is applied for all the ActorSystems created spark wide for that SparkContext and its assigned executors as well.
- </td>
-</tr>
<tr>
<td>spark.shuffle.consolidateFiles</td>