Details
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Improvement
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Status: Closed
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Major
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Resolution: Incomplete
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0.98.6.1
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None
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None
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Any Hadoop distribution.
Description
Request based on a discussion with Nick Dimiduk at Strata.
Background: IT organizations operate on reports based on metrics. They look for comparative statistics such as number of queries per user per day per connection. Further, troubleshooting is often based on questions such as "what queries are each running, which user is using the most resources, and what query among the queries that a specific user need to be tuned?"
Currently, the slow-query log does not provide the instrumentation needed for management applications to obtain and analyze this level of information. In itself, they slow-query doesn't contain important information that allows mapping of the information to user, connection, application, and so on.
Further, the slow-query log doesn't log each get and scan, which means that it's not possible to see all queries that have been run against the HBase database.
Preferably, a REST API is provided to obtain the required information, which should be extended so that each query can be mapped to environment information; for example:
• Account
• Account string
• Client IP address
• Query text
• Session ID
• Date and time
• User name
Start, Status, and Completion records should be provided so that it's possible to determine the progress and outcome of any given query. Further, status and completion information should contain information about resource usage; for example:
• CPU time
• Memory
• I/Os
• Rows read/written
• Objects accessed
• Wait times
Preferably, counters are provided in both cumulative and delta (since query start) formats.