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https://issues.apache.org/jira/browse/HADOOP-18107?focusedWorklogId=774224&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-774224
]
ASF GitHub Bot logged work on HADOOP-18107:
-------------------------------------------
Author: ASF GitHub Bot
Created on: 24/May/22 20:58
Start Date: 24/May/22 20:58
Worklog Time Spent: 10m
Work Description: steveloughran commented on code in PR #4273:
URL: https://github.com/apache/hadoop/pull/4273#discussion_r880944821
##########
hadoop-common-project/hadoop-common/src/test/java/org/apache/hadoop/fs/contract/ContractTestUtils.java:
##########
@@ -1095,6 +1102,54 @@ public static void validateFileContent(byte[] concat,
byte[][] bytes) {
mismatch);
}
+ /**
+ * Utility to validate vectored read results.
+ * @param fileRanges input ranges.
+ * @param originalData original data.
+ * @throws IOException any ioe.
+ */
+ public static void validateVectoredReadResult(List<FileRange> fileRanges,
+ byte[] originalData)
+ throws IOException, TimeoutException {
+ CompletableFuture<?>[] completableFutures = new
CompletableFuture<?>[fileRanges.size()];
+ int i = 0;
+ for (FileRange res : fileRanges) {
+ completableFutures[i++] = res.getData();
+ }
+ CompletableFuture<Void> combinedFuture =
CompletableFuture.allOf(completableFutures);
+ FutureIO.awaitFuture(combinedFuture, 5, TimeUnit.MINUTES);
+
+ for (FileRange res : fileRanges) {
+ CompletableFuture<ByteBuffer> data = res.getData();
+ ByteBuffer buffer = FutureIO.awaitFuture(data, 5, TimeUnit.MINUTES);
Review Comment:
ok
Issue Time Tracking
-------------------
Worklog Id: (was: 774224)
Time Spent: 2h 40m (was: 2.5h)
> Vectored IO support for large S3 files.
> ----------------------------------------
>
> Key: HADOOP-18107
> URL: https://issues.apache.org/jira/browse/HADOOP-18107
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: fs/s3
> Reporter: Mukund Thakur
> Assignee: Mukund Thakur
> Priority: Major
> Labels: pull-request-available
> Time Spent: 2h 40m
> Remaining Estimate: 0h
>
> This effort would mostly be adding more tests for large files under scale
> tests and see if any new issue surfaces.
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