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| author | hyukjinkwon <gurwls223@gmail.com> | 2017-04-12 09:16:39 +0100 |
|---|---|---|
| committer | Sean Owen <sowen@cloudera.com> | 2017-04-12 09:16:39 +0100 |
| commit | bca4259f12b32eeb156b6755d0ec5e16d8e566b3 (patch) | |
| tree | c7da055477f7498b6efebc60fe7a7f9a0c6ea353 /docs | |
| parent | b9384382484a9f5c6b389742e7fdf63865de81c0 (diff) | |
| download | spark-bca4259f12b32eeb156b6755d0ec5e16d8e566b3.tar.gz spark-bca4259f12b32eeb156b6755d0ec5e16d8e566b3.tar.bz2 spark-bca4259f12b32eeb156b6755d0ec5e16d8e566b3.zip | |
[MINOR][DOCS] JSON APIs related documentation fixes
## What changes were proposed in this pull request?
This PR proposes corrections related to JSON APIs as below:
- Rendering links in Python documentation
- Replacing `RDD` to `Dataset` in programing guide
- Adding missing description about JSON Lines consistently in `DataFrameReader.json` in Python API
- De-duplicating little bit of `DataFrameReader.json` in Scala/Java API
## How was this patch tested?
Manually build the documentation via `jekyll build`. Corresponding snapstops will be left on the codes.
Note that currently there are Javadoc8 breaks in several places. These are proposed to be handled in https://github.com/apache/spark/pull/17477. So, this PR does not fix those.
Author: hyukjinkwon <gurwls223@gmail.com>
Closes #17602 from HyukjinKwon/minor-json-documentation.
Diffstat (limited to 'docs')
| -rw-r--r-- | docs/sql-programming-guide.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md index c425faca4c..28942b68fa 100644 --- a/docs/sql-programming-guide.md +++ b/docs/sql-programming-guide.md @@ -883,7 +883,7 @@ Configuration of Parquet can be done using the `setConf` method on `SparkSession <div data-lang="scala" markdown="1"> Spark SQL can automatically infer the schema of a JSON dataset and load it as a `Dataset[Row]`. -This conversion can be done using `SparkSession.read.json()` on either an RDD of String, +This conversion can be done using `SparkSession.read.json()` on either a `Dataset[String]`, or a JSON file. Note that the file that is offered as _a json file_ is not a typical JSON file. Each @@ -897,7 +897,7 @@ For a regular multi-line JSON file, set the `wholeFile` option to `true`. <div data-lang="java" markdown="1"> Spark SQL can automatically infer the schema of a JSON dataset and load it as a `Dataset<Row>`. -This conversion can be done using `SparkSession.read().json()` on either an RDD of String, +This conversion can be done using `SparkSession.read().json()` on either a `Dataset<String>`, or a JSON file. Note that the file that is offered as _a json file_ is not a typical JSON file. Each |