Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/12268#discussion_r61358445
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/InferSchema.scala
---
@@ -30,22 +30,37 @@ import org.apache.spark.sql.catalyst.util.DateTimeUtils
import org.apache.spark.sql.types._
import org.apache.spark.unsafe.types.UTF8String
-private[csv] object CSVInferSchema {
+private[csv] object InferSchema {
/**
* Similar to the JSON schema inference
* 1. Infer type of each row
* 2. Merge row types to find common type
* 3. Replace any null types with string type
*/
- def infer(
- tokenRdd: RDD[Array[String]],
- header: Array[String],
- nullValue: String = ""): StructType = {
+ def infer(csv: RDD[String], options: CSVOptions): StructType = {
--- End diff --
Actually, it does call this class method in `DefaultSource.inferSchema`. I
intentionally made the same structure with `JSONRelation`. JSON data source
also have the class with the same name and same method in order to fix issues
easily in the future together . (Actually, the main purpose for refactoring
this is inconsistency of structures although they could almost identical
structures).
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