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https://issues.apache.org/jira/browse/HADOOP-19729?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18033636#comment-18033636
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ASF GitHub Bot commented on HADOOP-19729:
-----------------------------------------
manika137 commented on code in PR #8043:
URL: https://github.com/apache/hadoop/pull/8043#discussion_r2470562303
##########
hadoop-tools/hadoop-azure/src/main/java/org/apache/hadoop/fs/azurebfs/AbfsConfiguration.java:
##########
@@ -519,6 +519,42 @@ public class AbfsConfiguration{
DefaultValue = DEFAULT_FS_AZURE_ENABLE_CREATE_BLOB_IDEMPOTENCY)
private boolean enableCreateIdempotency;
+ @BooleanConfigurationValidatorAnnotation(ConfigurationKey =
FS_AZURE_ENABLE_TAIL_LATENCY_TRACKER,
+ DefaultValue = DEFAULT_FS_AZURE_ENABLE_TAIL_LATENCY_TRACKER)
+ private boolean isTailLatencyTrackerEnabled;
+
+ @BooleanConfigurationValidatorAnnotation(ConfigurationKey =
FS_AZURE_ENABLE_TAIL_LATENCY_REQUEST_TIMEOUT,
+ DefaultValue = DEFAULT_FS_AZURE_ENABLE_TAIL_LATENCY_REQUEST_TIMEOUT)
+ private boolean isTailLatencyRequestTimeoutEnabled;
+
+ @IntegerConfigurationValidatorAnnotation(ConfigurationKey =
FS_AZURE_TAIL_LATENCY_PERCENTILE,
+ DefaultValue = DEFAULT_FS_AZURE_TAIL_LATENCY_PERCENTILE)
+ private int tailLatencyPercentile;
+
+ @IntegerConfigurationValidatorAnnotation(ConfigurationKey =
FS_AZURE_TAIL_LATENCY_MIN_DEVIATION,
+ DefaultValue = DEFAULT_FS_AZURE_TAIL_LATENCY_MIN_DEVIATION)
+ private int tailLatencyMinDeviation;
+
+ @IntegerConfigurationValidatorAnnotation(ConfigurationKey =
FS_AZURE_TAIL_LATENCY_MIN_SAMPLE_SIZE,
+ DefaultValue = DEFAULT_FS_AZURE_TAIL_LATENCY_MIN_SAMPLE_SIZE)
+ private int tailLatencyMinSampleSize;
+
+ @IntegerConfigurationValidatorAnnotation(ConfigurationKey =
FS_AZURE_TAIL_LATENCY_ANALYSIS_WINDOW_MILLIS,
+ DefaultValue = DEFAULT_FS_AZURE_TAIL_LATENCY_ANALYSIS_WINDOW_MILLIS)
+ private int tailLatencyAnalysisWindowInMillis;
+
+ @IntegerConfigurationValidatorAnnotation(ConfigurationKey =
FS_AZURE_TAIL_LATENCY_ANALYSIS_WINDOW_GRANULARITY,
+ DefaultValue = DEFAULT_FS_AZURE_TAIL_LATENCY_ANALYSIS_WINDOW_GRANULARITY)
Review Comment:
should we have a min, max value for window size above and window granularity?
> ABFS: [Perf] Network Profiling of Tailing Requests and Killing Bad
> Connections Proactively
> ------------------------------------------------------------------------------------------
>
> Key: HADOOP-19729
> URL: https://issues.apache.org/jira/browse/HADOOP-19729
> 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
>
> It has been observed that certain requests taking more time than expected to
> complete hinders the performance of whole workload. Such requests are known
> as tailing requests. They can be taking more time due to a number of reasons
> and the prominent among them is a bad network connection. In Abfs driver we
> cache network connections and keeping such bad connections in cache and
> reusing them can be bad for perf.
> In this effort we try to identify such connections and close them so that new
> good connetions can be established and perf can be improved. There are two
> parts of this effort.
> # Identifying Tailing Requests: This involves profiling all the network
> calls and getting percentiles value optimally. By default we consider p99 as
> the tail latency and all the future requests taking more than tail latency
> will be considere as Tailing requests.
> # Proactively Killing Socket Connections: With Apache client, we can now
> kill the socket connection and fail the tailing request. Such failures will
> not be thrown back to user and retried immediately without any sleep but from
> another socket connection.
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