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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/08/12 08:04:00 UTC
[jira] [Assigned] (SPARK-36490) Make from_csv/to_csv to handle
timestamp_ntz type properly
[ https://issues.apache.org/jira/browse/SPARK-36490?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-36490:
------------------------------------
Assignee: Kousuke Saruta (was: Apache Spark)
> Make from_csv/to_csv to handle timestamp_ntz type properly
> ----------------------------------------------------------
>
> Key: SPARK-36490
> URL: https://issues.apache.org/jira/browse/SPARK-36490
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.3.0
> Reporter: Kousuke Saruta
> Assignee: Kousuke Saruta
> Priority: Major
>
> In the current master, to_csv/from_csv can handle timestamp type like as follows.
> {code}
> SELECT to_csv(struct(TIMESTAMP"2021-11-23 11:22:33"));
> 2021-11-23T11:22:33.000+09:00
> SELECT from_csv("2021-11-23 11:22:33", "a TIMESTAMP");
> {"a":2021-11-23 11:22:33}
> {code}
> But they cannot handle timestamp_ntz type properly.
> {code}
> SELECT to_csv(struct(TIMESTAMP_NTZ"2021-11-23 11:22:33"));
> -- 2021-11-23T11:22:33.000 is expected.
> 1637666553000000
> SELECT from_csv("2021-11-23 11:22:33", "a TIMESTAMP_NTZ");
> 21/08/12 16:12:49 ERROR SparkSQLDriver: Failed in [SELECT from_csv("2021-11-23 11:22:33", "a TIMESTAMP_NTZ")]
> java.lang.Exception: Unsupported type: timestamp_ntz
> at org.apache.spark.sql.errors.QueryExecutionErrors$.unsupportedTypeError(QueryExecutionErrors.scala:777)
> at org.apache.spark.sql.catalyst.csv.UnivocityParser.makeConverter(UnivocityParser.scala:234)
> at org.apache.spark.sql.catalyst.csv.UnivocityParser.$anonfun$valueConverters$1(UnivocityParser.scala:134)
> {code}
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