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| author | hyukjinkwon <gurwls223@gmail.com> | 2016-08-11 11:31:52 +0100 |
|---|---|---|
| committer | Sean Owen <sowen@cloudera.com> | 2016-08-11 11:31:52 +0100 |
| commit | 7186e8c3180b7f38250cf2f2de791472bf5325a5 (patch) | |
| tree | 1d1f430f81102ba889bf93566d7173e508134ec7 /data | |
| parent | a45fefd17ec4a499b988a2f9931ce397918d3bef (diff) | |
| download | spark-7186e8c3180b7f38250cf2f2de791472bf5325a5.tar.gz spark-7186e8c3180b7f38250cf2f2de791472bf5325a5.tar.bz2 spark-7186e8c3180b7f38250cf2f2de791472bf5325a5.zip | |
[SPARK-16886][EXAMPLES][DOC] Fix some examples to be consistent and indentation in documentation
## What changes were proposed in this pull request?
Originally this PR was based on #14491 but I realised that fixing examples are more sensible rather than comments.
This PR fixes three things below:
- Fix two wrong examples in `structured-streaming-programming-guide.md`. Loading via `read.load(..)` without `as` will be `Dataset<Row>` not `Dataset<String>` in Java.
- Fix indentation across `structured-streaming-programming-guide.md`. Python has 4 spaces and Scala and Java have double spaces. These are inconsistent across the examples.
- Fix `StructuredNetworkWordCountWindowed` and `StructuredNetworkWordCount` in Java and Scala to initially load `DataFrame` and `Dataset<Row>` to be consistent with the comments and some examples in `structured-streaming-programming-guide.md` and to match Scala and Java to Python one (Python one loads it as `DataFrame` initially).
## How was this patch tested?
N/A
Closes https://github.com/apache/spark/pull/14491
Author: hyukjinkwon <gurwls223@gmail.com>
Author: Ganesh Chand <ganeshchand@Ganeshs-MacBook-Pro-2.local>
Closes #14564 from HyukjinKwon/SPARK-16886.
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