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https://issues.apache.org/jira/browse/HADOOP-19767?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18050103#comment-18050103
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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_r2664703108
##########
hadoop-tools/hadoop-azure/src/test/java/org/apache/hadoop/fs/azurebfs/services/TestAbfsInputStream.java:
##########
@@ -881,6 +881,15 @@ public void testReadTypeInTracingContextHeader() throws
Exception {
doReturn(false).when(spiedConfig).optimizeFooterRead();
testReadTypeInTracingContextHeaderInternal(spiedFs, fileSize,
SMALLFILE_READ, 1, totalReadCalls);
+ /*
+ * Test to verify Random Read Type.
+ * Settin Read Policy to Parquet ensures Random Read Type.
Review Comment:
nit: setting
> 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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