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https://issues.apache.org/jira/browse/SPARK-12404?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kousuke Saruta updated SPARK-12404:
-----------------------------------
Description:
Now `StaticInvoke` receives Any as a object and StaticInvoke can be serialized
but sometimes the object passed is not serializable.
For example, following code raises Exception because RowEncoder#extractorsFor
is invoked indirectly makes `StaticInvoke`.
<code>
case class TimestampContainer(timestamp: java.sql.Timestamp)
val rdd = sc.parallelize(1 to 2).map(_ =>
TimestampContainer(System.currentTimeMillis))
val df = rdd.toDF
val ds = df.as[TimestampContainer]
val rdd2 = ds.rdd <----------------- invokes
extractorsFor indirectory
<code>
was:
Now `StaticInvoke` receives Any as a object and StaticInvoke can be serialized
but sometimes the object passed is not serializable.
For example, following code raises Exception because RowEncoder#extractorsFor
is invoked indirectly makes `StaticInvoke`.
<code>
case class TimestampContainer(timestamp: java.sql.Timestamp)
val rdd = sc.parallelize(1 to 2).map(_ =>
TimestampContainer(System.currentTimeMillis))
val df = rdd.toDF
val ds = df.as[TimestampContainer]
val rdd2 = ds.rdd <----------------- invokes
extractorsFor indirectory
</code>
> Ensure objects passed to StaticInvoke is Serializable
> -----------------------------------------------------
>
> Key: SPARK-12404
> URL: https://issues.apache.org/jira/browse/SPARK-12404
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.1, 2.0.0
> Reporter: Kousuke Saruta
> Assignee: Kousuke Saruta
> Priority: Critical
>
> Now `StaticInvoke` receives Any as a object and StaticInvoke can be
> serialized but sometimes the object passed is not serializable.
> For example, following code raises Exception because RowEncoder#extractorsFor
> is invoked indirectly makes `StaticInvoke`.
> <code>
> case class TimestampContainer(timestamp: java.sql.Timestamp)
> val rdd = sc.parallelize(1 to 2).map(_ =>
> TimestampContainer(System.currentTimeMillis))
> val df = rdd.toDF
> val ds = df.as[TimestampContainer]
> val rdd2 = ds.rdd <----------------- invokes
> extractorsFor indirectory
> <code>
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