GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/16680
[SPARK-16101][SQL] Refactoring CSV schema inference path to be consistent
with JSON
## What changes were proposed in this pull request?
This PR refactors CSV schema inference path to be consistent with JSON data
source and moves some filtering codes having the similar/same logics into
`CSVUtils`
It makes the methods in classes have consistent arguments with JSON ones.
`UnivocityParser` and `JacksonParser`
``` scala
private[csv] object CSVInferSchema {
...
def infer(
csv: Dataset[String],
caseSensitive: Boolean,
options: CSVOptions): StructType = {
...
```
``` scala
private[sql] object InferSchema {
...
def infer(
json: RDD[String],
columnNameOfCorruptRecord: String,
configOptions: JSONOptions): StructType = {
...
```
These allow schema inference from `Dataset[String]` directly. This
completes refactoring CSV datasource and they are now pretty consistent.
## How was this patch tested?
Existing tests should cover this.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/HyukjinKwon/spark SPARK-16101-schema-inference
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16680.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #16680
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