[
https://issues.apache.org/jira/browse/HIVE-25501?focusedWorklogId=647250&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-647250
]
ASF GitHub Bot logged work on HIVE-25501:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 07/Sep/21 09:11
Start Date: 07/Sep/21 09:11
Worklog Time Spent: 10m
Work Description: abstractdog commented on a change in pull request #2620:
URL: https://github.com/apache/hive/pull/2620#discussion_r703329281
##########
File path:
ql/src/java/org/apache/hadoop/hive/ql/exec/SerializationUtilities.java
##########
@@ -573,31 +665,23 @@ public PartitionDesc read(Kryo kryo, Input input, Class<?
extends PartitionDesc>
* @param out The stream to write to.
*/
public static void serializePlan(Object plan, OutputStream out) {
- serializePlan(plan, out, false);
- }
-
- public static void serializePlan(Kryo kryo, Object plan, OutputStream out) {
- serializePlan(kryo, plan, out, false);
+ serializePlan(plan, out, null);
}
- private static void serializePlan(Object plan, OutputStream out, boolean
cloningPlan) {
- Kryo kryo = borrowKryo();
+ private static void serializePlan(Object plan, OutputStream out,
Configuration configuration) {
Review comment:
yeah, I've just created a new test class, TestSerializationUtilities
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Issue Time Tracking
-------------------
Worklog Id: (was: 647250)
Time Spent: 0.5h (was: 20m)
> Provide a filter for removing useless properties from PartitionDesc objects
> before MapWork serialization
> --------------------------------------------------------------------------------------------------------
>
> Key: HIVE-25501
> URL: https://issues.apache.org/jira/browse/HIVE-25501
> Project: Hive
> Issue Type: Improvement
> Reporter: László Bodor
> Assignee: László Bodor
> Priority: Major
> Labels: pull-request-available
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> This is due to performance considerations. When a large amount of partitions
> is present in MapWork, serializing useless properties (coming from metastore
> as a partititon metadata) could become a bottleneck, which can even lead to
> OOM in Tez AM if the dag plan becomes large.
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