[SPARK-17545] Spark SQL Catalyst doesn't handle ISO 8601 date without colon in offset

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 2.0.0
• Fix Version/s: 2.0.1, 2.1.0
• Component/s: SQL
• Assignee: Hyukjin Kwon
• Reporter: Nathan Beyer
• Created: 14/Sep/16 20:38
• Updated: 12/Dec/22 18:11
• Resolved: 21/Sep/16 08:02

Description

When parsing a CSV with a date/time column that contains a variant ISO 8601 that doesn't include a colon in the offset, casting to Timestamp fails.

Here's a simple, example CSV content.

time
"2015-07-20T15:09:23.736-0500"
"2015-07-20T15:10:51.687-0500"
"2015-11-21T23:15:01.499-0600"

Here's the stack trace that results from processing this data.

16/09/14 15:22:59 ERROR Utils: Aborting task
java.lang.IllegalArgumentException: 2015-11-21T23:15:01.499-0600
at org.apache.xerces.jaxp.datatype.XMLGregorianCalendarImpl$Parser.skip(Unknown Source)
at org.apache.xerces.jaxp.datatype.XMLGregorianCalendarImpl$Parser.parse(Unknown Source)
at org.apache.xerces.jaxp.datatype.XMLGregorianCalendarImpl.<init>(Unknown Source)
at org.apache.xerces.jaxp.datatype.DatatypeFactoryImpl.newXMLGregorianCalendar(Unknown Source)
at javax.xml.bind.DatatypeConverterImpl._parseDateTime(DatatypeConverterImpl.java:422)
at javax.xml.bind.DatatypeConverterImpl.parseDateTime(DatatypeConverterImpl.java:417)
at javax.xml.bind.DatatypeConverter.parseDateTime(DatatypeConverter.java:327)
at org.apache.spark.sql.catalyst.util.DateTimeUtils$.stringToTime(DateTimeUtils.scala:140)
at org.apache.spark.sql.execution.datasources.csv.CSVTypeCast$.castTo(CSVInferSchema.scala:287)

Somewhat related, I believe Python standard libraries can produce this form of zone offset. The system I got the data from is written in Python.
https://docs.python.org/2/library/datetime.html#strftime-strptime-behavior

Issue Links

• links to: [Github] Pull Request #15147 (nbeyer)