This may sound a bit harsh, but I teach my developers that if they are trying to use ALLOW FILTERING – they are doing it wrong! We often choose Cassandra for its high availability and scalability characteristics. We love no downtime. ALLOW FILTERING is breaking the rules of availability and scalability.
Look at the full text of the error (not just the ending): Bad Request: Cannot execute this query as it might involve data filtering and thus may have unpredictable performance. If you want to execute this query despite the performance unpredictability, use ALLOW FILTERING. It is being polite, but it does warn you that performance is unpredictable. I can predict this: allow filtering will not scale. It won’t scale to large numbers of nodes (with small tables) or to large numbers of rows (regardless of node count). If you ignore the admittedly too polite warning, Cassandra will try to answer your query. It does it with a brute force, scan everything approach on all nodes (because you didn’t give it any partitions to target directly). That gets expensive and dangerous quickly. And, yes, it can endanger the whole cluster. As an administrator, I do think that Cassandra should be able to protect itself better, perhaps by allowing the administrator to disallow those queries at all. It does at least warn you. From: Attila Wind <attilaw@swf.technology> Sent: Tuesday, May 28, 2019 4:47 AM To: user@cassandra.apache.org Subject: [EXTERNAL] Re: Select in allow filtering stalls whole cluster. How to prevent such behavior? Hi Shalom, Thanks for your notes! So you also experienced this thing... fine Then maybe the best rules to follow are these: a) never(!) run a query "ALLOW FILTERING" on a Production cluster b) if you need these queries build a test cluster (somehow) and mirror the data (somehow) OR add denormalized tables (write + code complexity overhead) to fulfill those queries Can we agree on this one maybe as a "good to follow" policy? In our case luckily users = developers always. So I can expect them being aware of the consequences of a particular query. We also have test data fully mirrored into a test cluster. So running those queries on test system is possible. Plus If for whatever reason we really really need to run such a query in Prod I can simply instruct them test query like this in the test system for sure cheers Attila Wind http://www.linkedin.com/in/attilaw<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.linkedin.com_in_attilaw&d=DwMDaQ&c=MtgQEAMQGqekjTjiAhkudQ&r=aC_gxC6z_4f9GLlbWiKzHm1vucZTtVYWDDvyLkh8IaQ&m=dlrvbtXjrs3gQcMyMpe0rnkpA-7f6W9V5LIZNoIwntQ&s=-xUtowA6vjoESkKDAzfM17BFUnsOL16hIkQJNf0aChg&e=> Mobile: +36 31 7811355 On 2019. 05. 28. 8:59, shalom sagges wrote: Hi Attila, I'm definitely no guru, but I've experienced several cases where people at my company used allow filtering and caused major performance issues. As data size increases, the impact will be stronger. If you have large partitions, performance will decrease. GC can be affected. And if GC stops the world too long for too many times, you will feel it. I sincerely believe the best way would be to educate the users and remodel the data. Perhaps you need to denormalize your tables or at least use secondary indices (I prefer to keep it as simple as possible and denormalize). If it's a cluster for analytics, perhaps you need to build a designated cluster only for that so if something does break or get too pressured, normal activities wouldn't be affected, but there are pros and cons for that idea too. Hope this helps. Regards, On Tue, May 28, 2019 at 9:43 AM Attila Wind <attilaw@swf.technology><mailto:attilaw@swf.technology> wrote: Hi Gurus, Looks we stopped this thread. However I would be very much curious answers regarding b) ... Anyone any comments on that? I do see this as a potential production outage risk now... Especially as we are planning to run analysis queries by hand exactly like that over the cluster... thanks! Attila Wind http://www.linkedin.com/in/attilaw<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.linkedin.com_in_attilaw&d=DwMDaQ&c=MtgQEAMQGqekjTjiAhkudQ&r=aC_gxC6z_4f9GLlbWiKzHm1vucZTtVYWDDvyLkh8IaQ&m=dlrvbtXjrs3gQcMyMpe0rnkpA-7f6W9V5LIZNoIwntQ&s=-xUtowA6vjoESkKDAzfM17BFUnsOL16hIkQJNf0aChg&e=> Mobile: +36 31 7811355 On 2019. 05. 23. 11:42, shalom sagges wrote: a) Interesting... But only in case you do not provide partitioning key right? (so IN() is for partitioning key?) I think you should ask yourself a different question. Why am I using ALLOW FILTERING in the first place? What happens if I remove it from the query? I prefer to denormalize the data to multiple tables or at least create an index on the requested column (preferably queried together with a known partition key). b) Still does not explain or justify "all 8 nodes to halt and unresponsiveness to external requests" behavior... Even if servers are busy with the request seriously becoming non-responsive...? I think it can justify the unresponsiveness. When using ALLOW FILTERING, you are doing something like a full table scan in a relational database. There is a lot of information on the internet regarding this subject such as https://www.instaclustr.com/apache-cassandra-scalability-allow-filtering-partition-keys/<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.instaclustr.com_apache-2Dcassandra-2Dscalability-2Dallow-2Dfiltering-2Dpartition-2Dkeys_&d=DwMDaQ&c=MtgQEAMQGqekjTjiAhkudQ&r=aC_gxC6z_4f9GLlbWiKzHm1vucZTtVYWDDvyLkh8IaQ&m=dlrvbtXjrs3gQcMyMpe0rnkpA-7f6W9V5LIZNoIwntQ&s=l353_g5GuCCYA8Fg9j_4SJRgeTpy8HSqN-Ia2EZQWAM&e=> Hope this helps. Regards, On Thu, May 23, 2019 at 7:33 AM Attila Wind <attilaw@swf.technology><mailto:attilaw@swf.technology> wrote: Hi, "When you run a query with allow filtering, Cassandra doesn't know where the data is located, so it has to go node by node, searching for the requested data." a) Interesting... But only in case you do not provide partitioning key right? (so IN() is for partitioning key?) b) Still does not explain or justify "all 8 nodes to halt and unresponsiveness to external requests" behavior... Even if servers are busy with the request seriously becoming non-responsive...? cheers Attila Wind http://www.linkedin.com/in/attilaw<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.linkedin.com_in_attilaw&d=DwMDaQ&c=MtgQEAMQGqekjTjiAhkudQ&r=aC_gxC6z_4f9GLlbWiKzHm1vucZTtVYWDDvyLkh8IaQ&m=dlrvbtXjrs3gQcMyMpe0rnkpA-7f6W9V5LIZNoIwntQ&s=-xUtowA6vjoESkKDAzfM17BFUnsOL16hIkQJNf0aChg&e=> Mobile: +36 31 7811355 On 2019. 05. 23. 0:37, shalom sagges wrote: Hi Vsevolod, 1) Why such behavior? I thought any given SELECT request is handled by a limited subset of C* nodes and not by all of them, as per connection consistency/table replication settings, in case. When you run a query with allow filtering, Cassandra doesn't know where the data is located, so it has to go node by node, searching for the requested data. 2) Is it possible to forbid ALLOW FILTERING flag for given users/groups? I'm not familiar with such a flag. In my case, I just try to educate the R&D teams. Regards, On Wed, May 22, 2019 at 5:01 PM Vsevolod Filaretov <vsfilare...@gmail.com<mailto:vsfilare...@gmail.com>> wrote: Hello everyone, We have an 8 node C* cluster with large volume of unbalanced data. Usual per-partition selects work somewhat fine, and are processed by limited number of nodes, but if user issues SELECT WHERE IN () ALLOW FILTERING, such command stalls all 8 nodes to halt and unresponsiveness to external requests while disk IO jumps to 100% across whole cluster. In several minutes all nodes seem to finish ptocessing the request and cluster goes back to being responsive. Replication level across whole data is 3. 1) Why such behavior? I thought any given SELECT request is handled by a limited subset of C* nodes and not by all of them, as per connection consistency/table replication settings, in case. 2) Is it possible to forbid ALLOW FILTERING flag for given users/groups? Thank you all very much in advance, Vsevolod Filaretov. ________________________________ The information in this Internet Email is confidential and may be legally privileged. It is intended solely for the addressee. Access to this Email by anyone else is unauthorized. If you are not the intended recipient, any disclosure, copying, distribution or any action taken or omitted to be taken in reliance on it, is prohibited and may be unlawful. When addressed to our clients any opinions or advice contained in this Email are subject to the terms and conditions expressed in any applicable governing The Home Depot terms of business or client engagement letter. 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