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https://issues.apache.org/jira/browse/HADOOP-19767?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18050089#comment-18050089
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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_r2664641298


##########
hadoop-tools/hadoop-azure/src/main/java/org/apache/hadoop/fs/azurebfs/constants/FileSystemConfigurations.java:
##########
@@ -108,6 +109,7 @@ public final class FileSystemConfigurations {
   public static final long MAX_AZURE_BLOCK_SIZE = 256 * 1024 * 1024L; // 
changing default abfs blocksize to 256MB
   public static final String AZURE_BLOCK_LOCATION_HOST_DEFAULT = "localhost";
   public static final int DEFAULT_AZURE_LIST_MAX_RESULTS = 5000;
+  public static final String DEFAULT_FS_AZURE_READ_POLICY = 
FS_OPTION_OPENFILE_READ_POLICY_ADAPTIVE;

Review Comment:
   Add comment pointing to the file where all these policies are defined





> 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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