I'm still thinking of manual updates or updating both indexes. Job pauses
are acceptable but zero downtime clearly means read only then.

I'm curious if there is a clean solution or if something is planned here
for the next releases?

Matthias


2014-02-21 9:11 GMT+01:00 Andrew Kane <[email protected]>:

> I tried to post a reply yesterday but it looks like it never made it.
>
> Thank you all for the quick replies.  Here's a slightly better explanation
> of where I believe the race condition occurs.
>
> When the scan/scroll starts, the alias is still pointing to the old index,
> so updates go to the old index.  Let's say you update Document 1.  If the
> scroll/scan has already passed Document 1, the new index never sees the
> update.  The three solutions you mentioned Nik are to either:
>
> 1. Keep track of updates manually [tedious]
> 2. Pause the jobs that perform the updates [out of sync]
> 3. Send updates to both indexes [also tedious]
>
> However, none of these seem ideal.
>
> - Andrew
>
> On Tuesday, February 18, 2014 8:41:18 PM UTC-8, Andrew Kane wrote:
>>
>> Hi,
>>
>> I've followed the documentation for zero-downtime mapping changes and it
>> works great.  http://www.elasticsearch.org/blog/changing-mapping-with-
>> zero-downtime/
>>
>> However, there is a (pretty big) race condition with this approach -
>> while reindexing, changes may not make it to the new index.  I've looked
>> all over and haven't found a single solution to address this.  The best
>> attempt I've seen is to buffer updates, but this is tedious and still
>> leaves a race condition (with a smaller window).  My initial thoughts were
>> to create a write alias that points to the old and new indices and use
>> versioning.  However, there is no way to write to multiple indices
>> atomically.
>>
>> It seems like this issue should affect most Elasticsearch users (whether
>> they realize it or not).  Does anyone have a good solution to this?
>>
>> Thanks,
>> Andrew
>>
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