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new 5baa122640fa [SPARK-58920][DOC] Fix typos in the Quick Start and
Security docs
5baa122640fa is described below
commit 5baa122640fa5e504555d0b1d9c19a40f59390f3
Author: Uros <[email protected]>
AuthorDate: Fri Aug 21 07:20:36 2026 +0000
[SPARK-58920][DOC] Fix typos in the Quick Start and Security docs
### What changes were proposed in this pull request?
Fixes typos in two rendered documentation pages:
- `docs/quick-start.md`: "Spark's primary abstracted is called a Dataset"
-> "abstraction" (2 occurrences, in the Scala and Python sections), and "the
Spark souce directory" -> "source directory" (2 occurrences).
- `docs/security.md`: "The secret key used authentication" -> "used for
authentication".
### Why are the changes needed?
These are user-facing typos and a grammar error. `quick-start.md` is the
first tutorial many users read.
### Does this PR introduce _any_ user-facing change?
No. Documentation-only typo fixes.
### How was this patch tested?
No tests needed; documentation-only. The corrected words were checked to
read correctly in context.
### Was this patch authored or co-authored using generative AI tooling?
Generated-by: Claude Code (Opus 4.8)
Closes #58179 from uros-b/typo-quickstart-security-grammar.
Authored-by: Uros <[email protected]>
Signed-off-by: Uros Bojanic <[email protected]>
(cherry picked from commit e55ba12ba73fb83f020204743e418d92681b7043)
Signed-off-by: Uros Bojanic <[email protected]>
---
docs/quick-start.md | 8 ++++----
docs/security.md | 2 +-
2 files changed, 5 insertions(+), 5 deletions(-)
diff --git a/docs/quick-start.md b/docs/quick-start.md
index f9fd4921a9ba..4e24b94695b9 100644
--- a/docs/quick-start.md
+++ b/docs/quick-start.md
@@ -51,13 +51,13 @@ Or if PySpark is installed with pip in your current
environment:
pyspark
-Spark's primary abstracted is called a **Dataset**. A Dataset is a structured
set of information. You can create datasets from Hadoop InputFormats (such as
HDFS
+Spark's primary abstraction is called a **Dataset**. A Dataset is a structured
set of information. You can create datasets from Hadoop InputFormats (such as
HDFS
files) or by transforming other Datasets.
Datasets behave differently in some languages. Because Python allows for
dynamic typing, Datasets in Python are all `Dataset[Row]` on an implementation
level.
This leads to another key Spark concept: a `DataFrame`, or a Dataset with
named columns. If you're familiar with DataFrames from pandas or R, you'll be
familiar with how DataFrames work in Spark. In other languages, like Java, the
difference between a Dataset and DataFrame is larger, but for now let's proceed
with Python.
-Let's make a new DataFrame using the `README.md` file in the Spark souce
directory via the command line:
+Let's make a new DataFrame using the `README.md` file in the Spark source
directory via the command line:
{% highlight python %}
>>> textFile = spark.read.text("README.md")
@@ -92,10 +92,10 @@ You can also chain together transformations and actions:
./bin/spark-shell
-Spark's primary abstracted is called a **Dataset**. A Dataset is a structured
set of information. You can create datasets from Hadoop InputFormats (such as
HDFS
+Spark's primary abstraction is called a **Dataset**. A Dataset is a structured
set of information. You can create datasets from Hadoop InputFormats (such as
HDFS
files) or by transforming other Datasets.
-Let's make a new DataFrame using the `README.md` file in the Spark souce
directory via the command line:
+Let's make a new DataFrame using the `README.md` file in the Spark source
directory via the command line:
{% highlight scala %}
scala> val textFile = spark.read.textFile("README.md")
diff --git a/docs/security.md b/docs/security.md
index d80250256066..15b8e498617f 100644
--- a/docs/security.md
+++ b/docs/security.md
@@ -98,7 +98,7 @@ Kubernetes admin to ensure that Spark authentication is
secure.
<td><code>spark.authenticate.secret</code></td>
<td>None</td>
<td>
- The secret key used authentication. See above for when this configuration
should be set.
+ The secret key used for authentication. See above for when this
configuration should be set.
</td>
<td>1.0.0</td>
</tr>
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