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https://issues.apache.org/jira/browse/HADOOP-17905?focusedWorklogId=649696&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-649696
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ASF GitHub Bot logged work on HADOOP-17905:
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Author: ASF GitHub Bot
Created on: 12/Sep/21 12:18
Start Date: 12/Sep/21 12:18
Worklog Time Spent: 10m
Work Description: pbacsko commented on a change in pull request #3423:
URL: https://github.com/apache/hadoop/pull/3423#discussion_r706827825
##########
File path:
hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/io/Text.java
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@@ -73,6 +73,10 @@ protected CharsetDecoder initialValue() {
}
};
+ // max size of the byte array, seems to be a safe choice for multiple VMs
Review comment:
Maybe I should have written different kind of VMs (OpenJDK, HotSpot,
etc). It's more like a practical value that will likely work under different
versions. Some details:
https://programming.guide/java/array-maximum-length.html. If this comment is
confusing, I can remove it.
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Issue Time Tracking
-------------------
Worklog Id: (was: 649696)
Time Spent: 1.5h (was: 1h 20m)
> Modify Text.ensureCapacity() to efficiently max out the backing array size
> --------------------------------------------------------------------------
>
> Key: HADOOP-17905
> URL: https://issues.apache.org/jira/browse/HADOOP-17905
> Project: Hadoop Common
> Issue Type: Improvement
> Reporter: Peter Bacsko
> Assignee: Peter Bacsko
> Priority: Major
> Labels: pull-request-available
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> This is a continuation of HADOOP-17901.
> Right now we use a factor of 1.5x to increase the byte array if it's full.
> However, if the size reaches a certain point, the increment is only (current
> size + length). This can cause performance issues if the textual data which
> we intend to store is beyond this point.
> Instead, let's max out the array to the maximum. Based on different sources,
> a safe choice seems to be Integer.MAX_VALUE - 8 (see ArrayList,
> AbstractCollection, HashTable, etc).
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