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Norikra: Schema-less Stream Processing with SQL

27 点作者 matsuu大约 11 年前

4 条评论

loevborg大约 11 年前
This looks like an interesting, simpler alternative to stream-processing solutions like Spark or Storm, which require quite a lot of upfront investment in terms of infrastructure and learning.<p>I&#x27;d be interested to know how this works behind the scenes. Does it recalculate answers every time you run a query, or does it update the query answers as the events flow in?<p>Also, the examples all seem to be using a time window, like this one from the documentation:<p><pre><code> SELECT COUNT(DISTINCT cookie.id) AS uu, COUNT(*) AS imps FROM impressions.win:time_batch(1 hours) WHERE cookie.valid </code></pre> So does this only answer questions of the type &quot;how many unique users did we have in the last hour&quot;? Or can you also calculate a total count: &quot;how many users have visited this page in total?&quot;.
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repeatedly大约 11 年前
Norikra is often combined with Fluentd log collector.<p><a href="http://fluentd.org/" rel="nofollow">http:&#x2F;&#x2F;fluentd.org&#x2F;</a><p>Fluentd document has the article for Fluentd and Norikra use-case :)<p><a href="http://docs.fluentd.org/articles/cep-norikra" rel="nofollow">http:&#x2F;&#x2F;docs.fluentd.org&#x2F;articles&#x2F;cep-norikra</a>
profquail大约 11 年前
How does this compare to the IQbservable interface in Rx.NET? (IQbservable = Queryable IObservable)<p>IQbservable doesn&#x27;t seem to get much press -- but here&#x27;s an interesting implementation that works over TCP: <a href="https://rxx.codeplex.com/wikipage?title=TCP%20Qbservable%20Provider&amp;referringTitle=Documentation" rel="nofollow">https:&#x2F;&#x2F;rxx.codeplex.com&#x2F;wikipage?title=TCP%20Qbservable%20P...</a>
gopalv大约 11 年前
This uses Esper, right?<p>Esper is awesome all by itself.
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