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https://issues.apache.org/jira/browse/SOLR-7535?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15081855#comment-15081855
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Joel Bernstein commented on SOLR-7535:
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The UpdateStream worked well during manual testing. The test involved streaming
5 million documents from a source collection into a separate destination
collection. I used very small documents for the test which loaded at a rate of
about 20,000 documents per second. The stream from the source collection was
moving at a rate of over 1 million documents per second so there was
significant blocking on the export. This did not cause any problems. I tested
loading from a single node and in parallel with two nodes. No performance
increase could be seen in parallel mode because I believe my laptop was already
maxed out. In theory when indexing to a large cluster we would see performance
improvements when indexing in parallel.
I believe this ticket is now ready to commit.
I ran into a few "ease of use" issues that made it tricky to get the update
expression running. I fixed a couple of these issues as part this ticket and
I'll open another ticket to address the others.
> Add UpdateStream to Streaming API and Streaming Expression
> ----------------------------------------------------------
>
> Key: SOLR-7535
> URL: https://issues.apache.org/jira/browse/SOLR-7535
> Project: Solr
> Issue Type: New Feature
> Components: clients - java, SolrJ
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
> Priority: Minor
> Attachments: SOLR-7535.patch, SOLR-7535.patch, SOLR-7535.patch,
> SOLR-7535.patch, SOLR-7535.patch, SOLR-7535.patch, SOLR-7535.patch
>
>
> The ticket adds an UpdateStream implementation to the Streaming API and
> streaming expressions. The UpdateStream will wrap a TupleStream and send the
> Tuples it reads to a SolrCloud collection to be indexed.
> This will allow users to pull data from different Solr Cloud collections,
> merge and transform the streams and send the transformed data to another Solr
> Cloud collection.
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