[ 
https://issues.apache.org/jira/browse/KAFKA-4113?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16937936#comment-16937936
 ] 

Robert L Brooks Jr commented on KAFKA-4113:
-------------------------------------------

I have been reading through these comments to try to understand the KTable 
Bootstrap process. Please correct me if my take away is incorrect, it is as 
follows:

When the stream starts up KTables are created by taking a snapshot of the 
source topic based on the largest record time in the joining Stream source 
topic. The KTable's state store should be fully populated with the snapshot 
records before the streaming process any joins. Furthermore, KTables processing 
is prioritized over KStream processing.

Is this the correct understanding of the KTable bootstrap process?

> Allow KTable bootstrap
> ----------------------
>
>                 Key: KAFKA-4113
>                 URL: https://issues.apache.org/jira/browse/KAFKA-4113
>             Project: Kafka
>          Issue Type: New Feature
>          Components: streams
>            Reporter: Matthias J. Sax
>            Assignee: Guozhang Wang
>            Priority: Major
>
> On the mailing list, there are multiple request about the possibility to 
> "fully populate" a KTable before actual stream processing start.
> Even if it is somewhat difficult to define, when the initial populating phase 
> should end, there are multiple possibilities:
> The main idea is, that there is a rarely updated topic that contains the 
> data. Only after this topic got read completely and the KTable is ready, the 
> application should start processing. This would indicate, that on startup, 
> the current partition sizes must be fetched and stored, and after KTable got 
> populated up to those offsets, stream processing can start.
> Other discussed ideas are:
> 1) an initial fixed time period for populating
> (it might be hard for a user to estimate the correct value)
> 2) an "idle" period, ie, if no update to a KTable for a certain time is
> done, we consider it as populated
> 3) a timestamp cut off point, ie, all records with an older timestamp
> belong to the initial populating phase
> The API change is not decided yet, and the API desing is part of this JIRA.
> One suggestion (for option (4)) was:
> {noformat}
> KTable table = builder.table("topic", 1000); // populate the table without 
> reading any other topics until see one record with timestamp 1000.
> {noformat}



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

Reply via email to