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https://issues.apache.org/jira/browse/HIVE-7956?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14124302#comment-14124302
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Xuefu Zhang edited comment on HIVE-7956 at 9/6/14 4:43 AM:
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[~lirui] I meant we can use the generic serialize/deserialize method in
KryoSerializer. Specifically, the following methods can be used:
{code}
public static byte[] serialize(Object object) ;
public static <T> T deserialize(byte[] buffer,Class<T> clazz);
{code}
This should take care of the whole object, including the field hashcode.
was (Author: xuefuz):
No. We can use the generic serialize/deserialize method in KryoSerializer.
Specifically, the following methods can be used:
{code}
public static byte[] serialize(Object object) ;
public static <T> T deserialize(byte[] buffer,Class<T> clazz);
{code}
This should take care of the whole object, including the filed hashcode.
> When inserting into a bucketed table, all data goes to a single bucket [Spark
> Branch]
> -------------------------------------------------------------------------------------
>
> Key: HIVE-7956
> URL: https://issues.apache.org/jira/browse/HIVE-7956
> Project: Hive
> Issue Type: Bug
> Components: Spark
> Reporter: Rui Li
> Assignee: Rui Li
>
> I created a bucketed table:
> {code}
> create table testBucket(x int,y string) clustered by(x) into 10 buckets;
> {code}
> Then I run a query like:
> {code}
> set hive.enforce.bucketing = true;
> insert overwrite table testBucket select intCol,stringCol from src;
> {code}
> Here {{src}} is a simple textfile-based table containing 40000000 records
> (not bucketed). The query launches 10 reduce tasks but all the data goes to
> only one of them.
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