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From "Ted Yu (Updated) (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HBASE-4145) Provide metrics for hbase client
Date Thu, 29 Sep 2011 21:38:47 GMT

     [ https://issues.apache.org/jira/browse/HBASE-4145?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Ted Yu updated HBASE-4145:
--------------------------

    Fix Version/s: 0.94.0
    
> Provide metrics for hbase client
> --------------------------------
>
>                 Key: HBASE-4145
>                 URL: https://issues.apache.org/jira/browse/HBASE-4145
>             Project: HBase
>          Issue Type: Improvement
>            Reporter: Ming Ma
>            Assignee: Ming Ma
>             Fix For: 0.94.0
>
>         Attachments: HBaseClientSideMetrics.jpg
>
>
> Sometimes it is useful to get some metrics from hbase client point of view. This will
help understand the metrics for scan/TableInputFormat map job scenario.
> What to capture, for example, for each ResultScanner object,
> 1. The number of RPC calls to RSs.
> 2. The delta time between consecutive RPC calls in the current serialized scan implementation.
> 3. The number of RPC retry to RSs.
> 4. The number of NotServingRegionException got.
> 5. The number of remote RPC calls. This excludes those call that hbase client calls the
RS on the same machine.
> 6. The number of regions accessed.
> How to capture
> 1. Metrics framework works for a fixed number of metrics. It doesn't fit this scenario.
> 2. Use some TBD solution in HBase to capture such dynamic metrics. If we assume there
is a solution in HBase that HBase client can use to log such kind of metrics, TableInputFormat
can pass in mapreduce task ID as application scan ID to HBase client as small addition to
existing scan API; and HBase client can log metrics accordingly with such ID. That will allow
query, analysis later on the metrics data for specific map reduce job.
> 3. Expose via MapReduce counter. It lacks certain features, for example, there is no
good way to access the metrics on per map instance; the MapReduce framework only performs
sum on the counter values so it is tricky to find the max of certain metrics in all mapper
instances. However, it might be good enough for now. With this approach, the metrics value
will be available via MapReduce counter.
> a) Have ResultScanner return a new ResultScannerMetrics interface.
> b) TableInputFormat will access data from ResultScannerMetrics and populate MapReduce
counters accordingly.

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