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https://issues.apache.org/jira/browse/HADOOP-19767?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18050780#comment-18050780
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ASF GitHub Bot commented on HADOOP-19767:
-----------------------------------------
bhattmanish98 commented on code in PR #8153:
URL: https://github.com/apache/hadoop/pull/8153#discussion_r2674996643
##########
hadoop-tools/hadoop-azure/src/main/java/org/apache/hadoop/fs/azurebfs/constants/ConfigurationKeys.java:
##########
@@ -215,6 +216,12 @@ public final class ConfigurationKeys {
public static final String FS_AZURE_READ_AHEAD_QUEUE_DEPTH =
"fs.azure.readaheadqueue.depth";
public static final String FS_AZURE_ALWAYS_READ_BUFFER_SIZE =
"fs.azure.read.alwaysReadBufferSize";
public static final String FS_AZURE_READ_AHEAD_BLOCK_SIZE =
"fs.azure.read.readahead.blocksize";
+ /**
+ * Provides hint for the read workload pattern.
+ * Possible Values Exposed in {@link Options.OpenFileOptions}
Review Comment:
You can do something like this:
import org.apache.hadoop.fs.Options.OpenFileOptions;
* Possible Values Exposed in {@link
OpenFileOptions#FS_OPTION_OPENFILE_READ_POLICIES}
> 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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