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RethinkDB 1.8: date support, querying nested objects, 8x disk usage improvements

128 pointsby mglukhovskyalmost 12 years ago

16 comments

leetroutalmost 12 years ago
Kudos to the team; some great releases this summer! (10x insert performance, regex queries, and now date&#x2F;time and better disk space--all in ~90 days!)<p>I had never looked in to how rdb used disk space and off the cuff attributed its high usage to something similar to Mongo and allocating blocks ahead of usage.<p>This was something that went in to the negative column for me when I evaluated using rdb vs Postgres for a JSON dump. 12k somewhat light (but still larger than 250b) records ate up over 70MB of disk space in just over a couple days and I&#x27;ve not looked back. Time to give it another spin!
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andrewflnralmost 12 years ago
Look, I don&#x27;t have enough experience to be sure on this kind of thing, but it seems like RethinkDB is being developed at a blistering pace. Docker is another one like that. Both impress me, both on their vision and rate of improvement. It makes me happy to know that there are successful projects like this out there.
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andreypoppalmost 12 years ago
Being a heavy PostgreSQL user I really would appreciate a &quot;How RethinkDB compares to PostgreSQL&quot; FAQ entry.
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stephanos2kalmost 12 years ago
Can someone who ditched MongoDB for RethinkDB share his&#x2F;her experiences?
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wireminealmost 12 years ago
I&#x27;ve been watching the great progress since 1.4, but I continue to be disappointed by the overall performance, makes me wonder if I&#x27;m not groking something. Here&#x27;s a gist of a simple ruby script to insert 1000 trivial docs into rethink:<p><a href="https://gist.github.com/wiremine/6245910" rel="nofollow">https:&#x2F;&#x2F;gist.github.com&#x2F;wiremine&#x2F;6245910</a><p>1,000 inserts are taking around 20 seconds. Hardware is a 1.8 Core i5 Mac Air with 4GB Ram and a 128 SSD.<p>Is this sort of performance expected at this point?
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xfouralmost 12 years ago
Well done guys,I&#x27;m especially happy for the Date Object! That was a easy but annoying thing to have to work-around.
hcarvalhoalvesalmost 12 years ago
Date&#x2F;time was a hard one but worth the effort. Looking forward to the next updates!
mapmeldalmost 12 years ago
I keep thinking that I should try RethinkDB, but most of my projects involve geodata &#x2F; geospatial indexing. For this use-case PostGIS and MongoDB have benefits which I can&#x27;t find elsewhere.
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dkhenryalmost 12 years ago
Great Job and this is cool to see such progress. Now the long process of implementing all the new verbs in the drivers begins. I am really looking forwards to when RQL is marked as stable.
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ekannaalmost 12 years ago
Lack of native Date support was holding me back previously. Now i don&#x27;t see any reason for not using rethinkdb. My next project will be using Rethinkdb! It will be nice if you can fix &quot;groupby field names&quot; issue <a href="https://github.com/rethinkdb/rethinkdb/issues/386" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;rethinkdb&#x2F;rethinkdb&#x2F;issues&#x2F;386</a> in your 1.9 release
geedyalmost 12 years ago
Keep up the great work. It&#x27;s a very interesting project, one I&#x27;ll continue to keep an eye on.<p>One thing I wish would get added are more aggregators. This would add a lot of valuable use cases, in my opinion. At least one of my mini projects recently would have been greatly simplified had I had the ability to compute max&#x27;s and min&#x27;s in the same way as avg&#x27;s.
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agildehausalmost 12 years ago
Are 2D geospatial indexes&#x2F;queries planned for 2.0 or do they come later?
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jonny_ehalmost 12 years ago
Another great update. Keep it going!
dodygalmost 12 years ago
They fixed my bug - yay.
abc_lisperalmost 12 years ago
Nice. Can you guys please put a wiki page now?
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Orvaalmost 12 years ago
What.. version 1.8 and now there is Date support? Shouldn&#x27;t this kind of stuff be aournd at version 0.01 when we are talking about data stores? You know, the only non-easily swappable piece of our tech stack?
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