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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