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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/07/08 01:16:11 UTC
[jira] [Assigned] (SPARK-16434) Avoid record-per type dispatch in
JSON when reading
[ https://issues.apache.org/jira/browse/SPARK-16434?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-16434:
------------------------------------
Assignee: Apache Spark
> Avoid record-per type dispatch in JSON when reading
> ---------------------------------------------------
>
> Key: SPARK-16434
> URL: https://issues.apache.org/jira/browse/SPARK-16434
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Hyukjin Kwon
> Assignee: Apache Spark
>
> Currently, {{JacksonParser.parse}} is doing type dispatch for each row to read appropriate values.
> It might not have to be done like this because the schema of {{DataFrame}} is already there.
> So, appropriate converters can be created first according to the schema, and then apply them to each row.
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