Skip to content

[SPARK-20177]Document about compression way has some little detail ch… #17498

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
guoxiaolongzte wants to merge 2 commits into from
Closed

[SPARK-20177]Document about compression way has some little detail ch… #17498

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
d383efb
[SPARK-20177]Document about compression way has some little detail ch…
Mar 31, 2017
3059013
[SPARK-20177] event log add a space
Apr 1, 2017
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 5 additions & 2 deletions docs/configuration.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -639,6 +639,7 @@ Apart from these, the following properties are also available, and may be useful
<td>false</td>
<td>
Whether to compress logged events, if <code>spark.eventLog.enabled</code> is true.
Compression will use <code>spark.io.compression.codec</code>.
</td>
</tr>
<tr>
Expand Down Expand Up @@ -773,14 +774,15 @@ Apart from these, the following properties are also available, and may be useful
<td>true</td>
<td>
Whether to compress broadcast variables before sending them. Generally a good idea.
Compression will use <code>spark.io.compression.codec</code>.
</td>
</tr>
<tr>
<td><code>spark.io.compression.codec</code></td>
<td>lz4</td>
<td>
The codec used to compress internal data such as RDD partitions, broadcast variables and
shuffle outputs. By default, Spark provides three codecs: <code>lz4</code>, <code>lzf</code>,
The codec used to compress internal data such as RDD partitions, event log, broadcast variables
and shuffle outputs. By default, Spark provides three codecs: <code>lz4</code>, <code>lzf</code>,
and <code>snappy</code>. You can also use fully qualified class names to specify the codec,
e.g.
<code>org.apache.spark.io.LZ4CompressionCodec</code>,
Expand Down Expand Up @@ -881,6 +883,7 @@ Apart from these, the following properties are also available, and may be useful
<code>StorageLevel.MEMORY_ONLY_SER</code> in Java
and Scala or <code>StorageLevel.MEMORY_ONLY</code> in Python).
Can save substantial space at the cost of some extra CPU time.
Compression will use <code>spark.io.compression.codec</code>.
</td>
</tr>
<tr>
Expand Down