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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2018/12/17 01:49:41 UTC
[GitHub] HyukjinKwon commented on issue #23202: [SPARK-26248][SQL] Infer
date type from CSV
HyukjinKwon commented on issue #23202: [SPARK-26248][SQL] Infer date type from CSV
URL: https://github.com/apache/spark/pull/23202#issuecomment-447699150
Timestamp should not tried first. It works for default values but don't work when, for instance, other patterns are set.
For instnace:
```scala
Seq("2010_10_10").toDF.write.text("/tmp/bar")
spark.read.option("inferSchema", "true")
.option("header", "false")
.option("timestampFormat", "yyyy_MM_dd")
.csv("/tmp/foo").printSchema()
```
```
root
|-- _c0: date (nullable = true)
```
```scala
Seq("2010-10-10").toDF.write.text("/tmp/foo")
spark.read.option("inferSchema", "true")
.option("header", "false")
.option("timestampFormat", "yyyy-MM-dd")
.csv("/tmp/foo").printSchema()
```
```
root
|-- _c0: timestamp (nullable = true)
```
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