Have you tried setting UPDATE_CACHE_FREQUENCY on your tables?

On Fri, Feb 1, 2019 at 6:28 PM Jaanai Zhang <cloud.pos...@gmail.com> wrote:

>  we experimented with issuing the same query repeatedly, and we observed a
>> slow down not only on the first query
>
> I am not sure what the reasons are, perhaps you can enable TRACE log to
> find what leads to slow,  I guess that some meta information is reloaded
> under highly write workload.
>
> ----------------------------------------
>    Jaanai Zhang
>    Best regards!
>
>
>
> William Shen <wills...@marinsoftware.com> 于2019年2月1日周五 上午2:09写道:
>
>> Thanks Jaanai. Do you know if that is expected only on the first query
>> against a table? For us, we experimented with issuing the same query
>> repeatedly, and we observed a slow down not only on the first query. Does
>> it make sense to preemptively load table metadata on start up to warm up
>> the system to reduce latency during the actual query time (if it is
>> possible to do so)?
>>
>> On Wed, Jan 30, 2019 at 10:54 PM Jaanai Zhang <cloud.pos...@gmail.com>
>> wrote:
>>
>>> It is expected when firstly query tables after establishing the
>>> connection. Something likes loads some meta information into local cache
>>> that need take some time,  mainly including two aspects: 1. access
>>> SYSTEM.CATALOG table to get schema information of the table  2. access the
>>> meta table of HBase to get regions information of the table
>>>
>>> ----------------------------------------
>>>    Jaanai Zhang
>>>    Best regards!
>>>
>>>
>>>
>>> William Shen <wills...@marinsoftware.com> 于2019年1月31日周四 下午1:37写道:
>>>
>>>> Hi there,
>>>>
>>>> I have a component that makes Phoenix queries via the Phoenix JDBC
>>>> Connection. I noticed that consistently, the Phoenix Client takes longer to
>>>> execute a PreparedStatement and it takes longer to read through the
>>>> ResultSet for a period of time (~15m) after a restart of the component. It
>>>> seems like there is a warmup period for the JDBC connection. Is this to be
>>>> expected?
>>>>
>>>> Thanks!
>>>>
>>>

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