Hi Itai Yaffe,

Thank you very much for your support, thank you.

Regards,
Benedict Jin

On 2021/04/06 10:06:45, Itai Yaffe <itai.ya...@gmail.com> wrote: 
> Hey,
> I'm not a Druid developer, so it's quite possible I'm missing many
> considerations here, but from a first glance, I like your offer, as it
> resembles the *tsColumn *in JDBC lookups (
> https://druid.apache.org/docs/latest/development/extensions-core/lookups-cached-global.html#jdbc-lookup
> ).
> 
> Anyway, just my 2 cents.
> 
> Thanks!
>           Itai
> 
> On Tue, Apr 6, 2021 at 6:07 AM Benedict Jin <asdf2...@apache.org> wrote:
> 
> > Hi all,
> >
> > Recently, when the Coordinator in our company's Druid cluster pulls
> > metadata, there is a performance bottleneck. The main reason is the huge
> > amount of metadata, which leads to a very slow process of scanning the full
> > table of metadata storage and deserializing metadata. The size of the full
> > metadata has been reduced through TTL, Compaction, Rollup, and etc., but
> > the effect is not very significant. Therefore, I want to design a scheme
> > for Coordinator to pull metadata incrementally, that is, each time
> > Coordinator only pulls newly added metadata, so as to reduce the query
> > pressure of metadata storage and the pressure of deserializing metadata.
> > The general idea is to add a column last_update to the druid_segments table
> > to record the update time of each record. Furthermore, when we query the
> > metadata table, we can add filter conditions for the last_update column to
> > avoid full table scan operations. Moreover, whether it is MySQL or
> > PostgreSQL as the metadata storage medium, it can support
> >  automatic update of the timestamp field, which is somewhat similar to the
> > characteristics of triggers. So, have you encountered this problem before?
> > If so, how did you solve it? In addition, do you have any suggestions or
> > comments on the above incremental acquisition of metadata? Please let me
> > know, thanks a lot.
> >
> > Regards,
> > Benedict Jin
> >
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