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https://issues.apache.org/jira/browse/SPARK-17914?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16950932#comment-16950932
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Alexandre Gattiker edited comment on SPARK-17914 at 10/14/19 11:37 AM:
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As reported by other commenters, the issue is still outstanding with from_json
in Spark 2.4.3 (Azure Databricks 5.5 LTS):
{{sc.parallelize(List("2019-10-14T{color:#00875a}09:39{color}:07.3220000Z")).toDF}}
{{.select('value.cast("timestamp"))}}
{{// 2019-10-14T{color:#00875a}09:39{color}:07.322+0000}}
{{// correct time parsing outside of from_json}}
{{val schema = StructType(StructField("a", TimestampType, false) :: Nil)}}
{{sc.parallelize(List("""{"a":"2019-10-14T}}{color:#00875a}{{09:39}}{color}{{:07.3220000Z"}""")).toDF}}
{{.select(from_json('value, schema))}}
{{// {"a":"2019-10-14T{color:#de350b}10:32{color}:47.000+0000"}}}
{{// wrong time, corresponds to 09:39+3220 seconds}}
{{val schema = StructType(StructField("a", TimestampType, false) :: Nil)}}
{{sc.parallelize(List("""{"a":"2019-10-14T{color:#00875a}09:39{color}:322000Z"}""")).toDF}}
{{.select(from_json('value, schema))}}
{{// {"a":"2019-10-14T{color:#de350b}09:44{color}:29.000+0000"}}}
{{// wrong time, corresponds to 09:39+322 seconds}}
{{val schema = StructType(StructField("a", TimestampType, false) :: Nil)}}
{{sc.parallelize(List("""{"a":"2019-10-14T{color:#00875a}09:39{color}:322Z"}""")).toDF}}
{{.select(from_json('value, schema))}}
{{// {"a":"2019-10-14T{color:#00875a}09:39{color}:07.322+0000"}}}
{{// correct time}}
was (Author: agattiker):
As reported by other commenters, the issue is still outstanding with from_json
in Spark 2.4.3 (Azure Databricks 5.5 LTS):
{{sc.parallelize(List("2019-10-14T{color:#00875a}09:39{color}:07.3220000Z")).toDF}}
{{.select('value.cast("timestamp"))}}
{{// 2019-10-14T{color:#00875a}09:39{color}:07.322+0000}}
{{// correct time parsing outside of from_json}}
{{val schema = StructType(StructField("a", TimestampType, false) :: Nil)}}
{{sc.parallelize(List("""{"a":"2019-10-14T}}{color:#00875a}{{09:39}}{color}{{:07.3220000Z"}""")).toDF}}
{{.select(from_json('value, schema))}}
{{// {"a":"2019-10-14T{color:#de350b}10:32{color}:47.000+0000"}}}
{{// wrong time, corresponds to 09:39+3220 seconds}}
{{val schema = StructType(StructField("a", TimestampType, false) :: Nil)}}
{{sc.parallelize(List("""{"a":"2019-10-14T{color:#00875a}09:39{color}:322000Z"}""")).toDF}}
{{.select(from_json('value, schema))}}
{{// {"a":"2019-10-14T{color:#de350b}09:44{color}:29.000+0000"}}}
{{// wrong time, corresponds to 09:39+322 seconds}}
{{val schema = StructType(StructField("a", TimestampType, false) :: Nil)}}
{{sc.parallelize(List("""{"a":"2019-10-14T{color:#00875a}09:39{color}:322000Z"}""")).toDF}}
{{.select(from_json('value, schema))}}
{{// {"a":"2019-10-14T{color:#00875a}09:39{color}:07.322+0000"}}}
{{// correct time}}
> Spark SQL casting to TimestampType with nanosecond results in incorrect
> timestamp
> ---------------------------------------------------------------------------------
>
> Key: SPARK-17914
> URL: https://issues.apache.org/jira/browse/SPARK-17914
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.1
> Reporter: Oksana Romankova
> Assignee: Anton Okolnychyi
> Priority: Major
> Fix For: 2.2.0, 2.3.0
>
>
> In some cases when timestamps contain nanoseconds they will be parsed
> incorrectly.
> Examples:
> "2016-05-14T15:12:14.0034567Z" -> "2016-05-14 15:12:14.034567"
> "2016-05-14T15:12:14.000345678Z" -> "2016-05-14 15:12:14.345678"
> The issue seems to be happening in DateTimeUtils.stringToTimestamp(). It
> assumes that only 6 digit fraction of a second will be passed.
> With this being the case I would suggest either discarding nanoseconds
> automatically, or throw an exception prompting to pre-format timestamps to
> microsecond precision first before casting to the Timestamp.
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