If you’ve used Redshift for any period of time, you may have come across a situation where a query that used to run for two seconds starts running much slower. Now I am running DBeaver 7.2.0 with In the case of Redshift, … I have more complete database for you to work with … a more typical, small, … but a more typical star schema data warehouse. See above - still having issues with this using Redshift (and maybe others, since other people are still complaining). Sign in [Postgresql] request cancellation does not work, https://github.com/notifications/unsubscribe-auth/AEMHLD43BHCK6WOTCWRUADTQKAADBANCNFSM4ET33KOQ, https://github.com/notifications/unsubscribe-auth/AGKDMCFWVRA3T3YVNIR6ZBLR435YDANCNFSM4ET33KOQ, https://github.com/notifications/unsubscribe-auth/AGKDMCB7ICWDDOJZRBVZAI3R45BCRANCNFSM4ET33KOQ, https://github.com/notifications/unsubscribe-auth/ANQPD575MBG67GLNB4SDMGTSETLZPANCNFSM4ET33KOQ, https://github.com/notifications/unsubscribe-auth/AGKDMCEH2NBE3FIZXYJEFMLSEYWJDANCNFSM4ET33KOQ. CloudWatch can also monitor how long the database queries are running for with the QueryDuration metric. If someone could re-test, to see if this issue is still valid, it would be helpful I think. Would it be possible to crash only the connection if the query takes too long (or connection is on redshift database) and then restoring it? Having a way to force kill all background tasks would be good enough. Proxy timeouts as specified by @AlexandraLouise here: #1749 (comment), opening a PR to include those settings and keep things a little more sensible. To get the most out of Redshift, your queries must be processed as fast as possible. So many times I get flagged by my DB Admins because some long running query would be running even though I would have thought that they got cancelled since I restarted DBeaver. Ideally, the global timeout would be configurable in the admin panel (or configured to have no timeout), and the user have several chances to kill a question if the query runs too long (along the lines of @salsakran, but not a social pressure thing). Redshift) don't allow to disconnect when a query is running. I think anyone facing this problem should try a stable native driver and see if it improves the situation. This is useful not for dashboard per se but for when someone wants to do some advanced/big question that doesn't have pre-aggregated data for example. Used to have the same issue (since I always connect to client systems through VPN) but in recent 7.2 the problem is gone. I don't believe we intentionally time out queries anywhere, but certain platforms (Heroku, etc) have load balancers that might timeout a request. I have had this same issue for many versions with queries run against AWS Your team can use this metric to detect problematic queries and tackle them head-on. Nested DataFusions. Restarting DBeaver doesn't actually kill the query. Definitely still an issue for me. Joining on too many columns. I'm seeing the "your question took too long" response with the latest version installed using the recommended settings on AWS EBS today querying Redshift. Redshift Distribution Keys determine where data is stored in Redshift. : This possibly indicates an overly complex query where it takes a lot of processing just to get the first row but once it has that it's not exponentially longer to complete the task. We should either have the backend enforce the timeout (maybe a ?timeout= parameter on the /api/dataset endpoint) or actually abort the request and ensure the backend cancels the query when a request is aborted (if possible). Got it working with the addition of long timeouts in nginx config. Because on Hi, I had the same request timeout issue when using metabase with a apache druid database, But I was managed to fix the issue by increasing the timeout by editing the timeout range mentioned in query_processor.clj file. This information helps us a lot with understanding people's use cases when we are planning things out. dbeaver-ce-7.0.0-x86_64. This is getting timeout after 60 secs. I'm using Metabase to query a read replica of our production db, but some queries take longer than 60 seconds. @kdoh + @mazameli Does this need any UX treatment aside from a input text box in the admin? Any chance of getting that moved into the beanstalk recipe? metabase wouldn't give the result :D so selfish. From what's been mentioned I can't currently think of anything that would warrant going beyond the established settings pattern. Let’s dive into Redshift configuration monitoring next. I'm certain there are other scenarios where reducing/increasing the timeout might prove helpful. For example RStudio & jupyter notebook has the kernel running as seperate and that can be restarted as many times as you want without crashing the application itself. IT is a bug in 5.2.2, will be fixed in 5.2.3 (fix is already in Early Access - https://dbeaver.io/files/ea). If the DataFusion is nested 3 deep or more, move those inputs into the same DataFusion, if possible. The default hard coded 60 second timeout kills these queries. We use Redshift and have a view (built specifically for one of our Sisense models) that takes 2 minutes to respond after the Redshift connection is established. No time-outs on questions can really help our marketing and sales team to pull data with metabase. <. @joshcrichman , could you create a new ticket with more detailed description of the problem you're observing? Posted on: Oct 16, 2019 8:53 AM : Reply: redshift. These queries can complete within 5 min usually. Any action here? @camsaul @brianspolarich found the solution! We were getting a 504 Gateway Timeout error using Nginx as Proxy. Ensuring High Availability / fault tolerance on Shard-query setup would be major task. Title: Query Timeout To: dbeaver/dbeaver According to Amazon Redshift documentation, there are various causes why a query can be hanging. Any help appreciated.. FYI, I checked out the code, but could not find any property related to DATASET_TIMEOUT.. Are there any updates on managing dataset timeouts for both questions and dashboards? Still DBeaver is i general great tool, just then with its own issues. How can I increase the timeout? The second query fails because it attempts to reference the HOLIDAYS table in the main query as well as in the SELECT list subquery. Cancel must be supported by the database server and by the driver. Issue still in latest stable build. (Note that dashboards have a timeout of 60s that is not affected by this setting). to your account. +1 to this feature. With this capability, Amazon Redshift queries can now provide timely and up-to-date data from operational databases to drive better insights and decisions. A View creates a pseudo-table and from the perspective of a SELECT statement, it appears exactly as a regular table. Node-locked licenses are tied to a specific machine but are rehostable, that is they can be transferred from 1 machine to another using the Redshift licensing tool.Transferring a license requires a working internet connection on both the source and target of the transfer at the time of the license transfer. Reply to this email directly or view it on GitHub @brianspolarich + @AlexandraLouise can you check your ELB timeout? How's the below sound? Now what? In this tutorial we will look at a diagnostic query designed to help you do just that. I have had this same issue for many versions with queries run against AWS RDS MariaDB and AWS Redshift. On the other hand, there are situations where a collection of cards is really more of a heavy report or exploration than a real "dashboard". Why do my queries take longer time to run? It works for some drivers as disconnect cancels any active queries. Would it be possible to crash only the connection if the query takes too long(or connection is on redshift database) and then restoring it? At 10 seconds, display a "waiting" timeout, with the average execution time of the query as well as the max execution time It's clearly not resolved in any way. I was supremely disappointed. elsewhere to show how relevant it is. You can get to it by clicking on EC2 from the services list, going down to "Load Balancers" on the left hand pane, clicking on the load balancer beanstalk created, and scrolling down to "Attributes"? Just FYI, we managed to fix this ("Your question took too long" error) by checking timeouts all along the way. We run adhoc queries which may join several tables for exploratory analysis. Description: The time in seconds before a data warehouse queries times out. Our use case is similar to @derekchan and @HelmiRifai - billions of rows for ad hoc exploratory queries that could take minutes to complete. If you have any ideas or any workarounds on mind - please share or create a new ticket. Please help. This is still broken on 6.2.3, very annoying. But if, at that point, you try to export a query to CSV it fails saying that you can't excecute simultaneous queries and you are not doing it. tried setting it as an env variable in elastic bean stalk, but still same issue.. dbeaver-ce-6.3.5-x86_64 I've made that change - but it still is automatically timing out after 60 seconds. Thank you. My queries take a while to return data, and Metabase killed it. Redshift Query Timeout - How to increase Receive Timeout on the connection Follow. Unable to substitute : param not specified on 0.32.1, Remove 60 second timeout from BigQuery and Druid drivers, server thread pool and any timeouts or queuing there, any nginx (or elb timeouts) that occur when using our recommended Elastic Beanstalk, timeouts we're setting on the jdbc connection if any, any nginx (or elb timeouts) that occur when using our recommended. Same issue with dbeaver-ce-7.0.1-x86_64 on Ubunti 19.10. If Redshift can’t push your predicates down as needed, or the query still returns too much data, consider the advice in the following two sections regarding materialized views and syncing tables. On Apr 28, 2016 10:20 PM, "Sameer Al-Sakran" notifications@github.com Also I haven't checked in 0.16.x but are timed out questions on the queries against AWS RDS MariaDB. Is the current behavior that all queries of all cards on a dashboard execute together as a batch, so that if one of them stalls, the whole dashboard fails? I would think ideally that each card would load or not load independently of the others, so that you'd never get into a state where the whole dashboard fails unless each individual card did. Hi @camsaul Thank you very much! Can we please un-close this issue? [image: image.png], On Wed, Jul 22, 2020 at 10:04 AM uslss ***@***. See SELECT. ... You can read up about query offload to Spectrum in our blog post Query Offload with Redshift … … proxy_read_timeout 600; Long queries can hold up analytics by preventing shorter, faster queries from returning as they get queued up behind the long-running queries. On one hand a dashboard full of cards that take 30 minutes to run is kinda useless as a dashboard, and will tend to have users hit "refresh" which exacerbates the problem. Make default dashboard query timeout of 60 seconds configurable. Have a question about this project? A seperate timeout for dashboards as well would be useful, I don't want my aggregation job that will produce a table suitable for a dashboard question. 2. It lets you upload rows stored in S3, EMR, DynamoDB, or … Sign up for a free GitHub account to open an issue and contact its maintainers and the community. I cancelled it, but still it can't cancel it. Post conversations, I think we should also change the timeout message in the following ways: Create 1-3 stages of "timeouts" By clicking “Sign up for GitHub”, you agree to our terms of service and Michael Guidone March 28, 2018 21:27. First cost is high, second is about equal. it was not fixed in 5.2.3, i don't see any imrovements. As many people mention, this is obviously an ongoing issue that bothers a lot. Given that MySQL Workbench works fine in cancelling an active mysql query suggests Dbeaver might be improved. #4217. With Amazon Redshift, when it comes to queries that are executed frequently, the subsequent queries are usually executed faster. If that's 60s, it's likely that the ELB is the root cause of the timeout. Usage notes. … So I won't be going through that in this video, … because it would take about a half an hour, … it would just take too long. I currently have two txt files that I created a relationship between. I just upgraded to 7.2. Using a DataFusion as an input to another DataFusion. If it is an easy fix, please update! query. queries would take in the few minute range, usually a max of 5mins) and I This kind of issue over several versions and in 2020, really? Price: Redshift vs BigQuery RedShift. On Wed, Jul 22, 2020 at 3:06 PM uslss ***@***. Already on GitHub? Subject: Re: [dbeaver/dbeaver] Canceling the query takes forever (. Are we going to receive any news from the developers? Same thing when working with local databases. This is because Redshift spends a good portion of the execution plan optimizing the query. Some drivers just don't support it. Sure, though it's exactly the same as the many other tickets already filed, @archismandinda the initial issue here is not about getting the database session killed (as in the described case the VPN was not connected then the query never got to the database anyway; to get you database sessions killed then there are separate issues for that; also if in your case the sessions stay active on the database side then it might not be DBeavers fault - it might be also be in the JDBC driver, network issues etc.). I was able to immediately cancel queries run against AWS Redshift. It seems like the behavior of this has changed under the hood but there's not a lot of room for adjusting these settings. You can create a CSV file with some sample data using tools like Microsoft Excel, upload it in AWS S3 and load the data into a redshift table to create some sample data. I see thig bug in version 5.2.5 . Same issue with Redshift queries. For the purposes of this comparison, we're not going to dive into Redshift Spectrum* pricing, but you can check here for those details. Another case is when we have occasional big queries aggregating rows from across a rather long time. FYI my query takes 3 minutes to run usually. @AlexandraLouise as of v0.18.0 we shouldn't be timing out queries on dashboards. We should also make it clear the dashboard timeout doesn't change. @AlexandraLouise the front end (and I believe backend) shouldn't be timing out. @akbarumar88 there are many such tools around SQuirreL SQL Client, DbVisualizer, DataGrip etc. That’s when the “Redshift queries taking too long” thing goes into effect. To mitigate this, Redshift has the option to enable “short query acceleration,” which allows queries with shorter historical runtimes to complete without waiting for longer queries to complete. frontend correctly sending query kill commands to the database? Successfully merging a pull request may close this issue. My queries take a while to return data, and Metabase killed it. Probably this should be resolved for particular databases individually in separate tickets. Would be great if devs would acknowledge it. Well, you have launched a perfect Redshift Cluster with the right configuration settings. ... Our load process takes too long. If you want to insert many rows into a Redshift table, the INSERT query is not a practical option because of its slow performance. Cheers August 4, 2020, I got this issue. For some databases even restarting client application doesn't help. Your queries have not been written for high performance or your cluster is too small. Issue still persists in Version 7.0.0.202003021717. Great progress! It just hangs in a mutex. The query optimizer distributes less number of rows to the compute nodes to perform joins and aggregation on query execution. Backup and restore will take a long time with shard-query. Looking forward to your opinion on this. Will try it out for a week or so and report back. I am running metabase dcoker on aws ec2 with 80:3000 port configuration (without nginx and any app server). Example: So it is not related to the database drivers and issues in those cases, just the Cancel button hangs and there is nothing else you can do with it than restart Dbeaver. Some of your Amazon Redshift source’s tables might contain nested loops which will negatively impact your cluster’s performance by overloading the queue with queries that are taking long amounts of time to execute. At 60 seconds, display a "this is taking a while" image with avg/max and elapsed, and the creators name This question is not answered. So lets just keep the issue here concentrated to the issue that if I hit the cancel button then the expected result is at least that I would not need to restart the DBeaver application. All of them have issues alongside with great functionality. Even in the cases where query never gets to the database or has finished really quick there and for some reason Dbeaver does not get the error/resultset back before you click the "Cancel" button then it will keep showing that it is executing. In both cases it is okay to be slow (to up 15 minutes I would say), as long as the query eventually complete. I also had success canceling queries against AWS RDS MariaDB. Will the stages be configurable? We need this configurable if we were to consider using Metabase seriously for our company. Issue has been fixed in scope of 7.1.3. Hey Guys, Clusters store data fundamentally across the compute nodes. If you run more than 5 concurrent queries, then later queries will need to wait in the queue. AlexandraLouise commented on Sep 28, 2016 • i.e. Your load operation can take too long for the following reasons; we suggest the following troubleshooting approaches. @agilliland has pretty strong feelings here =), BTW, now that I look at this, that DATASET_TIMEOUT constant doesn't actually cause the query to be cancelled on the backend, it just rejects the client-side promise after 60 seconds ¯\_(ツ)_/¯. When you load all the data from a single large file, Amazon Redshift is forced to perform a serialized load, which is much slower. You must ensure that distkey is set properly, the COPY command is run properly, and your tables are vacuumed judiciously to ensure performance. +1 for this feature as well. I’m using EBS on AWS per the deployment instructions in the metabase docs. Dbeaver Version 7.1.1.202006211844 MySQL has this issue still. There is a little bug still. @brianspolarich have you had any luck getting this to work? We store a lot of data in Redshift, and it's not a terribly fast DB, but for analytical access, it's perfectly okay to wait a few minutes for a result. What is a Data Warehouse? I think that's the point of this issue. The text was updated successfully, but these errors were encountered: For reference the constant hardcoded to 60 seconds in question is DATASET_TIMEOUT. Generally query cancel support is provided by database driver. Your queries start taking way too long, and you know that your data has become too large to be managed by a conventional database. Thanks in advance :). Hi, is this the property DATASET_TIMEOUT? You may ask. RedshiftJDBC42-no-awssdk-1.2.45.1069.jar in play. Have a question about this project? It’s at this point that you start looking for a way to keep your data organized and make it easily accessible for analytics and reporting — a data warehouse. and I don't want to lose all the people that have commented here and Answer it to earn points. ***> wrote: I'm seeing this problem as well with latest metabase version and manually configured ELB to 300 second timeout. You are receiving this because you were mentioned. We can't fix it from DBeaver side :(. privacy statement. This is a very annoying issue. Cc: andrewkp101 ; Comment with a table of a few billion rows. Maybe the defaults included in the application package are too low for our scenarios? By clicking “Sign up for GitHub”, you agree to our terms of service and Monitor Redshift Storage via CloudWatch; Check through “Performance” tab on AWS Console; Query Redshift directly # Monitor Redshift Storage via CloudWatch. #1749 (comment). Identifying Slow, Frequently Running Queries in Amazon Redshift Posted by Tim Miller Detecting queries that are taking unusually long or are run on a higher frequency interval are good candidates for query tuning. Amazon Redshift has an architecture that allows massively parallel processing using multiple nodes, reducing the load times. So a couple things we should explicitly tackle (or at least document as a caveat) in this issue: For my example I sometimes want to run an adhoc query against user actions I try to even open a query and it takes forever, like go take a nap sort of long. proxy_send_timeout 600; I was able to immediately We’ll occasionally send you account related emails. Can we open this ticket again, please? I've gone either way on the issue over time. My DB is on VPN. We can't perform cancel on client side. I’m not experienced with EBS, ELB, etc. The table is on Redshift (some sample Why is my BI report taking too long … Does anyone know if there are any workarounds like driver properties and timeouts that could be set to at least be able to get away with waiting a minute instead of force killing dbeaver? Issue has been fixed in scope of 7.1.3 the database. Sent: Monday, September 7, 2020 2:11:51 PM These stages don't have to be configurable. Can you tell me what you're seeing in the UI and network inspector (specifically the /api/dataset requests). The main query references are out of scope. Still happening in 5.3.4 (Feb 3, 2019 release), Same problem here with Oracle Database on Dbeaver 6.1.1.201906240635. @HelmiRifai , @mattau600 , would you mind providing a bit more context around your database setup, roughly how long your queries tend to run, and how you are using Metabase? For drivers which don't support cancel we wait several seconds and then try to disconnect. Also note that currently the frontend only enforces the 60 second timeout on dashboards, not in the query builder. 0.15.x they were not, so the query would actually keep running, but Cancel works for PostgreSQL, MySQL, some Oracles and for some other databases. On Tue, 17 Sep 2019, 3:42 am Serge Rider, ***@***. Issue still persis in 7.0.3 it was really annoyying, do you guys have another recommendations for multi DBMS Database tool? If you close the connection then the blue arrows show the query as it were still executing: This is not a big deal, just a graphic bug. Instead you should see a slow query warning. Confirmed cloud-66s observation that this bug still exists in 5.2.5. Redshift console shows that the query has already been cancelled, but DBeaver is still stuck trying to cancel the query. privacy statement. The most common reason for this is queuing. ⬇️ Please click the reaction instead of leaving a +1 or comment. The only workaround is execute another query and, when it finishes OK, you can then export a query result to a file. Occasionally it causes the app to crash. definitely... what changes did you make to your nginx config? But some other drivers (e.g. send_timeout 600; @salsakran my cards now generate without a timeout which is great - only issue is the dashboard which times out after 60 seconds :( Is there anywhere I can change this time out duration? However, long-running queries are not the only thing your team should monitor. From: Christopher Bonitz Maybe this is a separate issue, but why do dashboards have their own timeout? I'd imagine it would live under general as part of the overall instance settings? using Redshift. If you know your data, Redshift offers different ways of tuning both your queries and data structure to attain significant gains. It is fixed in 7.2 with a workaround which is to close the connection if cancel request doesn't respond within a timeout period.
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