> script to iterate and load the files via the post command.
You mean load parquet filed over post? That sounds unbelievable …
Do u mean you created Solr doc for each parquet record in a partition and used
solrJ or some other java lib to post the docs to Solr?
df.mapPatitions(p => { ///batch the parquet records, convert batch to a
solr-doc-batch, then send to Solr via Solr request})
If you are sending raw parquet to Solr I would love to learn more :) !
> On Aug 10, 2020, at 7:50 PM, Russell Jurney <[email protected]> wrote:
>
> There are ways to load data directly from Spark to Solr but I didn't find
> any of them satisfactory so I just create enough Spark partitions with
> reparition() (increase partition count)/coalesce() (decrease partition
> count) that I get as many Parquet files as I want and then I use a bash
> script to iterate and load the files via the post command.
>
> Thanks,
> Russell Jurney @rjurney <http://twitter.com/rjurney>
> [email protected] LI <http://linkedin.com/in/russelljurney> FB
> <http://facebook.com/jurney> datasyndrome.com
>
>
> On Fri, Aug 7, 2020 at 9:48 AM Jörn Franke <[email protected]> wrote:
>
>> DIH is deprecated and it will be removed from Solr. You may though still
>> be able to install it as a plug-in. However, AFAIK nobody maintains it. Do
>> not use it anymore
>>
>> You can write a custom Spark data source that writes to Solr or does it in
>> a spark Map step using SolrJ .
>> In both cases do not create 100s of executors to avoid overloading.
>>
>>
>>> Am 07.08.2020 um 18:39 schrieb Kevin Van Lieshout <
>> [email protected]>:
>>>
>>> Hi,
>>>
>>> Is there any assistance around writing parquets from spark to solr shards
>>> or is it possible to customize a DIH to import a parquet to a solr shard.
>>> Let me know if this is possible, or the best work around for this. Much
>>> appreciated, thanks
>>>
>>>
>>> Kevin VL
>>
