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https://issues.apache.org/jira/browse/HADOOP-19348?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17930370#comment-17930370
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ASF GitHub Bot commented on HADOOP-19348:
-----------------------------------------
ahmarsuhail commented on code in PR #7334:
URL: https://github.com/apache/hadoop/pull/7334#discussion_r1969991776
##########
hadoop-tools/hadoop-aws/src/main/java/org/apache/hadoop/fs/s3a/impl/streams/InputStreamType.java:
##########
@@ -45,13 +45,11 @@ public enum InputStreamType {
*/
Prefetch(StreamIntegration.PREFETCH, 2, c ->
new PrefetchingInputStreamFactory()),
-
/**
* The analytics input stream.
*/
- Analytics(StreamIntegration.ANALYTICS, 3, c -> {
- throw new IllegalArgumentException("not yet supported");
- }),
+ Analytics(StreamIntegration.ANALYTICS, 3, c ->
Review Comment:
good q... to which I don't have answer. Depends on when the class loader
loads in `AnalyticsStreamFactory` I guess? if that happens when this enum is
initialised, then you would probably see the CNFE
> S3A: Add initial support for analytics-accelerator-s3
> -----------------------------------------------------
>
> Key: HADOOP-19348
> URL: https://issues.apache.org/jira/browse/HADOOP-19348
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: fs/s3
> Affects Versions: 3.4.2
> Reporter: Ahmar Suhail
> Priority: Major
> Labels: pull-request-available
>
> S3 recently released [Analytics Accelerator Library for Amazon
> S3|https://github.com/awslabs/analytics-accelerator-s3] as an Alpha release,
> which is an input stream, with an initial goal of improving performance for
> Apache Spark workloads on Parquet datasets.
> For example, it implements optimisations such as footer prefetching, and so
> avoids the multiple GETS S3AInputStream currently makes for the footer bytes
> and PageIndex structures.
> The library also tracks columns currently being read by a query using the
> parquet metadata, and then prefetches these bytes when parquet files with the
> same schema are opened.
> This ticket tracks the work required for the basic initial integration. There
> is still more work to be done, such as VectoredIO support etc, which we will
> identify and follow up with.
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