[jira] [Commented] (SPARK-36429) JacksonParser should throw exception when data type unsupported.
[
https://issues.apache.org/jira/browse/SPARK-36429?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17402951#comment-17402951
]
Kousuke Saruta commented on SPARK-36429:
Issue resolved in https://github.com/apache/spark/pull/33684.
> JacksonParser should throw exception when data type unsupported.
>
>
> Key: SPARK-36429
> URL: https://issues.apache.org/jira/browse/SPARK-36429
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.2.0
>Reporter: jiaan.geng
>Assignee: jiaan.geng
>Priority: Major
> Fix For: 3.2.0
>
>
> Currently, when set spark.sql.timestampType=TIMESTAMP_NTZ, the behavior is
> different between from_json and from_csv.
> {code:java}
> -- !query
> select from_json('{"t":"26/October/2015"}', 't Timestamp',
> map('timestampFormat', 'dd/M/'))
> -- !query schema
> struct>
> -- !query output
> {"t":null}
> {code}
> {code:java}
> -- !query
> select from_csv('26/October/2015', 't Timestamp', map('timestampFormat',
> 'dd/M/'))
> -- !query schema
> struct<>
> -- !query output
> java.lang.Exception
> Unsupported type: timestamp_ntz
> {code}
> We should make from_json throws exception too.
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[jira] [Commented] (SPARK-36429) JacksonParser should throw exception when data type unsupported.
[
https://issues.apache.org/jira/browse/SPARK-36429?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17395857#comment-17395857
]
Apache Spark commented on SPARK-36429:
--
User 'beliefer' has created a pull request for this issue:
https://github.com/apache/spark/pull/33684
> JacksonParser should throw exception when data type unsupported.
>
>
> Key: SPARK-36429
> URL: https://issues.apache.org/jira/browse/SPARK-36429
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.2.0
>Reporter: jiaan.geng
>Assignee: jiaan.geng
>Priority: Major
> Fix For: 3.2.0
>
>
> Currently, when set spark.sql.timestampType=TIMESTAMP_NTZ, the behavior is
> different between from_json and from_csv.
> {code:java}
> -- !query
> select from_json('{"t":"26/October/2015"}', 't Timestamp',
> map('timestampFormat', 'dd/M/'))
> -- !query schema
> struct>
> -- !query output
> {"t":null}
> {code}
> {code:java}
> -- !query
> select from_csv('26/October/2015', 't Timestamp', map('timestampFormat',
> 'dd/M/'))
> -- !query schema
> struct<>
> -- !query output
> java.lang.Exception
> Unsupported type: timestamp_ntz
> {code}
> We should make from_json throws exception too.
--
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[jira] [Commented] (SPARK-36429) JacksonParser should throw exception when data type unsupported.
[
https://issues.apache.org/jira/browse/SPARK-36429?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17394726#comment-17394726
]
Apache Spark commented on SPARK-36429:
--
User 'sarutak' has created a pull request for this issue:
https://github.com/apache/spark/pull/33670
> JacksonParser should throw exception when data type unsupported.
>
>
> Key: SPARK-36429
> URL: https://issues.apache.org/jira/browse/SPARK-36429
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.2.0
>Reporter: jiaan.geng
>Assignee: jiaan.geng
>Priority: Major
> Fix For: 3.2.0
>
>
> Currently, when set spark.sql.timestampType=TIMESTAMP_NTZ, the behavior is
> different between from_json and from_csv.
> {code:java}
> -- !query
> select from_json('{"t":"26/October/2015"}', 't Timestamp',
> map('timestampFormat', 'dd/M/'))
> -- !query schema
> struct>
> -- !query output
> {"t":null}
> {code}
> {code:java}
> -- !query
> select from_csv('26/October/2015', 't Timestamp', map('timestampFormat',
> 'dd/M/'))
> -- !query schema
> struct<>
> -- !query output
> java.lang.Exception
> Unsupported type: timestamp_ntz
> {code}
> We should make from_json throws exception too.
--
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[jira] [Commented] (SPARK-36429) JacksonParser should throw exception when data type unsupported.
[
https://issues.apache.org/jira/browse/SPARK-36429?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17394724#comment-17394724
]
Apache Spark commented on SPARK-36429:
--
User 'sarutak' has created a pull request for this issue:
https://github.com/apache/spark/pull/33670
> JacksonParser should throw exception when data type unsupported.
>
>
> Key: SPARK-36429
> URL: https://issues.apache.org/jira/browse/SPARK-36429
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.2.0
>Reporter: jiaan.geng
>Assignee: jiaan.geng
>Priority: Major
> Fix For: 3.2.0
>
>
> Currently, when set spark.sql.timestampType=TIMESTAMP_NTZ, the behavior is
> different between from_json and from_csv.
> {code:java}
> -- !query
> select from_json('{"t":"26/October/2015"}', 't Timestamp',
> map('timestampFormat', 'dd/M/'))
> -- !query schema
> struct>
> -- !query output
> {"t":null}
> {code}
> {code:java}
> -- !query
> select from_csv('26/October/2015', 't Timestamp', map('timestampFormat',
> 'dd/M/'))
> -- !query schema
> struct<>
> -- !query output
> java.lang.Exception
> Unsupported type: timestamp_ntz
> {code}
> We should make from_json throws exception too.
--
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[jira] [Commented] (SPARK-36429) JacksonParser should throw exception when data type unsupported.
[
https://issues.apache.org/jira/browse/SPARK-36429?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17394680#comment-17394680
]
Apache Spark commented on SPARK-36429:
--
User 'ulysses-you' has created a pull request for this issue:
https://github.com/apache/spark/pull/33668
> JacksonParser should throw exception when data type unsupported.
>
>
> Key: SPARK-36429
> URL: https://issues.apache.org/jira/browse/SPARK-36429
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.2.0
>Reporter: jiaan.geng
>Assignee: jiaan.geng
>Priority: Major
> Fix For: 3.2.0
>
>
> Currently, when set spark.sql.timestampType=TIMESTAMP_NTZ, the behavior is
> different between from_json and from_csv.
> {code:java}
> -- !query
> select from_json('{"t":"26/October/2015"}', 't Timestamp',
> map('timestampFormat', 'dd/M/'))
> -- !query schema
> struct>
> -- !query output
> {"t":null}
> {code}
> {code:java}
> -- !query
> select from_csv('26/October/2015', 't Timestamp', map('timestampFormat',
> 'dd/M/'))
> -- !query schema
> struct<>
> -- !query output
> java.lang.Exception
> Unsupported type: timestamp_ntz
> {code}
> We should make from_json throws exception too.
--
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[jira] [Commented] (SPARK-36429) JacksonParser should throw exception when data type unsupported.
[
https://issues.apache.org/jira/browse/SPARK-36429?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17394679#comment-17394679
]
Apache Spark commented on SPARK-36429:
--
User 'ulysses-you' has created a pull request for this issue:
https://github.com/apache/spark/pull/33668
> JacksonParser should throw exception when data type unsupported.
>
>
> Key: SPARK-36429
> URL: https://issues.apache.org/jira/browse/SPARK-36429
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.2.0
>Reporter: jiaan.geng
>Assignee: jiaan.geng
>Priority: Major
> Fix For: 3.2.0
>
>
> Currently, when set spark.sql.timestampType=TIMESTAMP_NTZ, the behavior is
> different between from_json and from_csv.
> {code:java}
> -- !query
> select from_json('{"t":"26/October/2015"}', 't Timestamp',
> map('timestampFormat', 'dd/M/'))
> -- !query schema
> struct>
> -- !query output
> {"t":null}
> {code}
> {code:java}
> -- !query
> select from_csv('26/October/2015', 't Timestamp', map('timestampFormat',
> 'dd/M/'))
> -- !query schema
> struct<>
> -- !query output
> java.lang.Exception
> Unsupported type: timestamp_ntz
> {code}
> We should make from_json throws exception too.
--
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[jira] [Commented] (SPARK-36429) JacksonParser should throw exception when data type unsupported.
[
https://issues.apache.org/jira/browse/SPARK-36429?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17394557#comment-17394557
]
Apache Spark commented on SPARK-36429:
--
User 'sarutak' has created a pull request for this issue:
https://github.com/apache/spark/pull/33663
> JacksonParser should throw exception when data type unsupported.
>
>
> Key: SPARK-36429
> URL: https://issues.apache.org/jira/browse/SPARK-36429
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.2.0
>Reporter: jiaan.geng
>Priority: Major
>
> Currently, when set spark.sql.timestampType=TIMESTAMP_NTZ, the behavior is
> different between from_json and from_csv.
> {code:java}
> -- !query
> select from_json('{"t":"26/October/2015"}', 't Timestamp',
> map('timestampFormat', 'dd/M/'))
> -- !query schema
> struct>
> -- !query output
> {"t":null}
> {code}
> {code:java}
> -- !query
> select from_csv('26/October/2015', 't Timestamp', map('timestampFormat',
> 'dd/M/'))
> -- !query schema
> struct<>
> -- !query output
> java.lang.Exception
> Unsupported type: timestamp_ntz
> {code}
> We should make from_json throws exception too.
--
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[jira] [Commented] (SPARK-36429) JacksonParser should throw exception when data type unsupported.
[
https://issues.apache.org/jira/browse/SPARK-36429?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17393891#comment-17393891
]
Apache Spark commented on SPARK-36429:
--
User 'beliefer' has created a pull request for this issue:
https://github.com/apache/spark/pull/33654
> JacksonParser should throw exception when data type unsupported.
>
>
> Key: SPARK-36429
> URL: https://issues.apache.org/jira/browse/SPARK-36429
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.2.0
>Reporter: jiaan.geng
>Priority: Major
>
> Currently, when set spark.sql.timestampType=TIMESTAMP_NTZ, the behavior is
> different between from_json and from_csv.
> {code:java}
> -- !query
> select from_json('{"t":"26/October/2015"}', 't Timestamp',
> map('timestampFormat', 'dd/M/'))
> -- !query schema
> struct>
> -- !query output
> {"t":null}
> {code}
> {code:java}
> -- !query
> select from_csv('26/October/2015', 't Timestamp', map('timestampFormat',
> 'dd/M/'))
> -- !query schema
> struct<>
> -- !query output
> java.lang.Exception
> Unsupported type: timestamp_ntz
> {code}
> We should make from_json throws exception too.
--
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[jira] [Commented] (SPARK-36429) JacksonParser should throw exception when data type unsupported.
[
https://issues.apache.org/jira/browse/SPARK-36429?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17393828#comment-17393828
]
jiaan.geng commented on SPARK-36429:
I'm working on.
> JacksonParser should throw exception when data type unsupported.
>
>
> Key: SPARK-36429
> URL: https://issues.apache.org/jira/browse/SPARK-36429
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.2.0
>Reporter: jiaan.geng
>Priority: Major
>
> Currently, when set spark.sql.timestampType=TIMESTAMP_NTZ, the behavior is
> different between from_json and from_csv.
> {code:java}
> -- !query
> select from_json('{"t":"26/October/2015"}', 't Timestamp',
> map('timestampFormat', 'dd/M/'))
> -- !query schema
> struct>
> -- !query output
> {"t":null}
> {code}
> {code:java}
> -- !query
> select from_csv('26/October/2015', 't Timestamp', map('timestampFormat',
> 'dd/M/'))
> -- !query schema
> struct<>
> -- !query output
> java.lang.Exception
> Unsupported type: timestamp_ntz
> {code}
> We should make from_json throws exception too.
--
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