viirya commented on code in PR #493:
URL: https://github.com/apache/spark-website/pull/493#discussion_r1426326048
##
examples.md:
##
@@ -36,36 +42,38 @@ In this page, we will show examples using RDD API as well
as examples using high
{% highlight python %}
-text_file =
viirya commented on code in PR #493:
URL: https://github.com/apache/spark-website/pull/493#discussion_r1426323076
##
examples.md:
##
@@ -186,13 +178,7 @@ errors.filter(col("line").like("%MySQL%")).collect()
{% highlight java %}
// Creates a DataFrame having a single column
viirya commented on code in PR #493:
URL: https://github.com/apache/spark-website/pull/493#discussion_r1426318473
##
examples.md:
##
@@ -36,36 +42,38 @@ In this page, we will show examples using RDD API as well
as examples using high
{% highlight python %}
-text_file =
viirya commented on code in PR #493:
URL: https://github.com/apache/spark-website/pull/493#discussion_r1426302479
##
examples.md:
##
@@ -19,12 +19,18 @@ On top of Spark’s RDD API, high level APIs are provided,
e.g.
[DataFrame
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zhengruifeng commented on PR #493:
URL: https://github.com/apache/spark-website/pull/493#issuecomment-1854923264
I want to make a few more modification, let me convert it to draft first
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zhengruifeng opened a new pull request, #493:
URL: https://github.com/apache/spark-website/pull/493
1, remove the out-dated `RDD API examples`;
2, update `DataFrame API examples` and `Machine learning example`:
- `sc.textFile(...).map(...).toDF` -> `spark.read.text`
-
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