Github user jinxing64 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16989#discussion_r116907401
--- Diff: docs/configuration.md ---
@@ -954,16 +970,16 @@ Apart from these, the following properties are also
available, and may be useful
<td><code>spark.memory.offHeap.enabled</code></td>
<td>false</td>
<td>
- If true, Spark will attempt to use off-heap memory for certain
operations. If off-heap memory use is enabled, then
<code>spark.memory.offHeap.size</code> must be positive.
+ If true, Spark will attempt to use off-heap memory for certain
operations(e.g. allocate memory by Unsafe/Tungsten code). If off-heap memory
use is enabled, then <code>spark.memory.offHeap.size</code> must be positive.
</td>
</tr>
<tr>
<td><code>spark.memory.offHeap.size</code></td>
- <td>0</td>
+ <td>384 * 1024 * 1024</td>
<td>
The absolute amount of memory in bytes which can be used for off-heap
allocation.
This setting has no impact on heap memory usage, so if your executors'
total memory consumption must fit within some hard limit then be sure to shrink
your JVM heap size accordingly.
- This must be set to a positive value when
<code>spark.memory.offHeap.enabled=true</code>.
+ This must be set to a positive value when
<code>spark.memory.offHeap.enabled=true</code>. Note that Blocks will be
shuffled to off heap by default.
--- End diff --
Yes, I will fix this. I was thinking Netty will use off-heap for fetching
remote blocks when `spark.shuffle.io.preferDirectBufs` is true. That's why I
put a `by default` here.
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