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The following commit(s) were added to refs/heads/branch-3.0 by this push:
new 1fc9833 [MINOR][DOCS] Fix [[...]] to `...` and <code>...</code> in
documentation
1fc9833 is described below
commit 1fc98336cfc8390139f2548a1f496d40a6a7f784
Author: HyukjinKwon <gurwls...@apache.org>
AuthorDate: Fri Mar 13 16:44:23 2020 -0700
[MINOR][DOCS] Fix [[...]] to `...` and <code>...</code> in documentation
### What changes were proposed in this pull request?
Before:
- 
- 
- 
After:
- 
- 
- 
### Why are the changes needed?
To render the code block properly in the documentation
### Does this PR introduce any user-facing change?
Yes, code rendering in documentation.
### How was this patch tested?
Manually built the doc via `SKIP_API=1 jekyll build`.
Closes #27899 from HyukjinKwon/minor-docss.
Authored-by: HyukjinKwon <gurwls...@apache.org>
Signed-off-by: Dongjoon Hyun <dongj...@apache.org>
(cherry picked from commit 9628aca68ba0821b8f3fa934ed4872cabb2a5d7d)
Signed-off-by: Dongjoon Hyun <dongj...@apache.org>
---
docs/monitoring.md | 6 +++---
docs/quick-start.md | 2 +-
2 files changed, 4 insertions(+), 4 deletions(-)
diff --git a/docs/monitoring.md b/docs/monitoring.md
index 4cba15b..ba3f1dc 100644
--- a/docs/monitoring.md
+++ b/docs/monitoring.md
@@ -595,7 +595,7 @@ A list of the available metrics, with a short description:
</tr>
<tr>
<td>inputMetrics.*</td>
- <td>Metrics related to reading data from
[[org.apache.spark.rdd.HadoopRDD]]
+ <td>Metrics related to reading data from
<code>org.apache.spark.rdd.HadoopRDD</code>
or from persisted data.</td>
</tr>
<tr>
@@ -779,11 +779,11 @@ A list of the available metrics, with a short description:
</tr>
<tr>
<td> .DirectPoolMemory</td>
- <td>Peak memory that the JVM is using for direct buffer pool
([[java.lang.management.BufferPoolMXBean]])</td>
+ <td>Peak memory that the JVM is using for direct buffer pool
(<code>java.lang.management.BufferPoolMXBean</code>)</td>
</tr>
<tr>
<td> .MappedPoolMemory</td>
- <td>Peak memory that the JVM is using for mapped buffer pool
([[java.lang.management.BufferPoolMXBean]])</td>
+ <td>Peak memory that the JVM is using for mapped buffer pool
(<code>java.lang.management.BufferPoolMXBean</code>)</td>
</tr>
<tr>
<td> .ProcessTreeJVMVMemory</td>
diff --git a/docs/quick-start.md b/docs/quick-start.md
index 86ba2c4..e7a16a3 100644
--- a/docs/quick-start.md
+++ b/docs/quick-start.md
@@ -264,7 +264,7 @@ Spark README. Note that you'll need to replace
YOUR_SPARK_HOME with the location
installed. Unlike the earlier examples with the Spark shell, which initializes
its own SparkSession,
we initialize a SparkSession as part of the program.
-We call `SparkSession.builder` to construct a [[SparkSession]], then set the
application name, and finally call `getOrCreate` to get the [[SparkSession]]
instance.
+We call `SparkSession.builder` to construct a `SparkSession`, then set the
application name, and finally call `getOrCreate` to get the `SparkSession`
instance.
Our application depends on the Spark API, so we'll also include an sbt
configuration file,
`build.sbt`, which explains that Spark is a dependency. This file also adds a
repository that
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