spark-instrumented-optimizer/sql/core/src/test/resources/comments.csv

~ Version 1.0
~ Using a non-standard comment char to test CSV parser defaults are overridden
1,2,3,4,5.01,2015-08-20 15:57:00
6,7,8,9,0,2015-08-21 16:58:01
~0,9,8,7,6,2015-08-22 17:59:02
1,2,3,4,5,2015-08-23 18:00:42
[SPARK-12833][SQL] Initial import of spark-csv CSV is the most common data format in the "small data" world. It is often the first format people want to try when they see Spark on a single node. Having to rely on a 3rd party component for this leads to poor user experience for new users. This PR merges the popular spark-csv data source package (https://github.com/databricks/spark-csv) with SparkSQL. This is a first PR to bring the functionality to spark 2.0 master. We will complete items outlines in the design document (see JIRA attachment) in follow up pull requests. Author: Hossein <hossein@databricks.com> Author: Reynold Xin <rxin@databricks.com> Closes #10766 from rxin/csv. 2016-01-15 14:46:46 -05:00			`~ Version 1.0`
			`~ Using a non-standard comment char to test CSV parser defaults are overridden`
			`1,2,3,4,5.01,2015-08-20 15:57:00`
			`6,7,8,9,0,2015-08-21 16:58:01`
			`~0,9,8,7,6,2015-08-22 17:59:02`
			`1,2,3,4,5,2015-08-23 18:00:42`