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https://issues.apache.org/jira/browse/HADOOP-19767?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18050592#comment-18050592
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ASF GitHub Bot commented on HADOOP-19767:
-----------------------------------------
anmolanmol1234 commented on code in PR #8153:
URL: https://github.com/apache/hadoop/pull/8153#discussion_r2671871133
##########
hadoop-tools/hadoop-azure/src/main/java/org/apache/hadoop/fs/azurebfs/services/ReadBufferManagerV2.java:
##########
@@ -100,7 +100,8 @@ public final class ReadBufferManagerV2 extends
ReadBufferManager {
private byte[][] bufferPool;
- private final Stack<Integer> removedBufferList = new Stack<>();
+ private final ConcurrentSkipListSet<Integer> removedBufferList = new
ConcurrentSkipListSet<>();
+ private ConcurrentSkipListSet<Integer> freeList = new
ConcurrentSkipListSet<>();
Review Comment:
Can you please explain the need to move from Stack to ConcurrentSkipListSet
specifically for V2 ?
> ABFS: [Read] Introduce Abfs Input Policy for detecting read patterns
> --------------------------------------------------------------------
>
> Key: HADOOP-19767
> URL: https://issues.apache.org/jira/browse/HADOOP-19767
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: fs/azure
> Affects Versions: 3.4.2
> Reporter: Anuj Modi
> Assignee: Anuj Modi
> Priority: Major
> Labels: pull-request-available
>
> Since the onset of ABFS Driver, there has been a single implementation of
> AbfsInputStream. Different kinds of workloads require different heuristics to
> give the best performance for that type of workload. For example:
> # Sequential Read Workloads like DFSIO and DistCP gain performance
> improvement from prefetched
> # Random Read Workloads on other hand do not need Prefetches and enabling
> prefetches for them is an overhead and TPS heavy
> # Query Workloads involving Parquet/ORC files benefit from improvements like
> Footer Read and Small Files Reads
> To accomodate this we need to determine the pattern and accordingly create
> Input Streams implemented for that particular pattern.
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