HyukjinKwon commented on a change in pull request #32835:
URL: https://github.com/apache/spark/pull/32835#discussion_r648794764
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File path: python/docs/source/user_guide/pandas_on_spark/from_to_dbms.rst
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@@ -30,7 +30,7 @@ Reading and writing DataFrames
In the example below, you will read and write a table in SQLite.
-Firstly, create the ``example`` database as below via Python's SQLite library.
This will be read to Koalas later:
+Firstly, create the ``example`` database as below via Python's SQLite library.
This will be read to pandas APIs on Spark later:
Review comment:
> read to pandas APIs on Spark
This reads a bit awkward. maybe read to pyspark-on-Spark?
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File path: python/docs/source/user_guide/pandas_on_spark/from_to_dbms.rst
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@@ -48,13 +48,13 @@ Firstly, create the ``example`` database as below via
Python's SQLite library. T
con.commit()
con.close()
-Koalas requires a JDBC driver to read so it requires the driver for your
particular database to be on the Spark's classpath. For SQLite JDBC driver, you
can download it, for example, as below:
+Pandas APIs on Spark requires a JDBC driver to read so it requires the driver
for your particular database to be on the Spark's classpath. For SQLite JDBC
driver, you can download it, for example, as below:
Review comment:
```suggestion
Pandas APIs on Spark require a JDBC driver to read so it requires the driver
for your particular database to be on the Spark's classpath. For SQLite JDBC
driver, you can download it, for example, as below:
```
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