I have a web service sitting on IIS that has been quite happy for months but now I'm getting timeouts and I don't know how to diagnose what the problem is.
The client sends up basic information in a 'heartbeat' message to IIS which then updates this in a SQL database (on a different server). There are 250 clients in the wild, all sending up their heartbeat every 5 minutes ... so there's only 250 rows in the table, with appropriate indexing on the column being used for the update.
Ordinarily it only takes 50-100ms to do the update, but since last week you can see that the response time in the IIS log has increased and I'm also getting timeouts too.
Nothing has changed with the setup so I don't know what I'm looking for to determine the reason. The error I get back is:
System.ServiceModel.FaultException: An error occurred while updating
the entries. See the inner exception for details.An error occurred
while updating the entries. See the inner exception for
details.Execution Timeout Expired. The timeout period elapsed prior to
completion of the operation or the server is not responding. The
statement has been terminated.The wait operation timed out
Any advice on where to start looking? I did enable the failed request log trace in IIS but I don't know what it all means if I'm perfectly honest. The difference between a successful requiest and a failed one is that the request log stops after the 'AspNetStart' entry.
Thanks!
Mark
There are lots of reasons a service can gradually or suddenly become slow. Poor code structure can lead to things like memory leaks on the server, small enough they don't really show up or cause problems during testing, but when run over weeks/months start to stack up. Unauthorized requests could be targeting your server if this is a public-facing service, or has a link to public-facing services.
Things to look at:
Does this happen at certain times of the day or throughout the day?
Is this a load issue that starts occurring when multiple users are sending updates concurrently? 250 users isn't a lot. Has the # of users grown over the last few months or has it been relatively stable since the start?
What is the memory and CPU usage looking like on the Web server(s) and DB server?
This is the first clue to check to see if either server is under considerable load. From there you can investigate why it might be under load or if it possibly needs a bit more grunt to deal with the load. Look at the running processes. If these servers are managed by an IT department or such some culprits can include things like Virus Scanners hogging resources. (I.e. policy changes in the last few months have lead to additional load on the servers)
What recovery model is your database set up for?
What is the size of your Tx Log (.mdx file)
Do you have a regular scheduled database backup and index maintenance?
This is one that new projects tend to forget. An empty database is small and has no Tx Log history being recorded, but as it runs over time that Tx Log grows silently in the background, especially with Full recovery. Larger Tx Logs can lead to slower performance over time especially if the log file needs to be enlarged. A good thing to check is whether the log file is set to grow by a # of bytes or percentage. Percentage is I believe the default but this can cause exponential "grow" time/space issues so it's better to set it to a fixed size per grow. You'll want regular backups being done that allow the Tx Log to reset. Ideally don't shrink the file if the Log size between backups stays consistent.
How many records across all tables are being inserted or updated in a given day?
This is important to build a picture of how much the database will be tracking through the day between backups. You may have 250 clients, but every heartbeat is potentially updating a row and inserting others.
What are you using for PKs for inserted records? (Ints vs. UUIDs) If using UUIDs are you using NEWSEQUENTIALID() or NEWID()/Guid.New()?
GUIDs can be a time bomb for indexing if done poorly. A GUID combined with NEWID() or Guid.New() will lead to considerable index fragmentation when inserting rows. Provided the GUIDs are not visible to clients you should use NEWSEQUENTIALID(). If IDs are set via code then there are implementations you can find to generate sequential GUIDs. (It's a matter of re-arranging the parts that make up the GUID) Regular index maintenance is a requirement for using UUID columns in indexed fields.
Are you using Dependency Injection in your web service?
What is the lifetime scope of the DbContexts performing the updates?
This is a potential time bomb for web servers if the lifetime scope for a DbContext is set up incorrectly. You want a DbContext to be alive for no longer than it is needed. At a maximum the lifetime scope should be set to PerRequest. A DbContext set up for Singleton for instance would be tracking entities across requests. The more entities a DbContext is tracking, the slower read and update operations become. This would be a possible culprit if the web server memory usage is climbing.
Are you running an SQL Profiler?
In a test environment with nothing else touching the database, running scenarios through the application with an SQL Profiler can reveal potential issues such as unexpected queries being kicked off due to things like lazy loading. For one operation you might expect one or a small number of queries to be run, only to find dozens or even hundreds. Multiply this across concurrent requests and you have a recipe for the database server to say "Just sit down and wait, dammit!" :) Any queries you don't expect based on the code that is running should be investigated for either eager loading relationships or implementing projection. (Recommended for best performance)
Do the web servers get restarted periodically?
For some tricky to debug issues and memory leaks, sometimes the easiest "fix" is to schedule regular restarts of the web server. It's a hack, but compared to the considerable cost of trying to track down memory leaks or fix up inefficient code that slows down over time, it is a cheap and effective fix. (At least while you do research options to address the issues and optimize the code)
That should give you a start into things to check with the service & database.
Related
I have been using Clickhouse at work for analytics purposes for a while now.
I am currently running Clickhouse v22.6.3 revision 54455 on-premise on a VM with:
fast storage
200Gb of RAM
no swap
a 40-cores CPU.
I have a few Tb of data, but no table bigger than 300 Gb. I do not use distributed tables or replication yet, and I write frequently into Clickhouse (but I don't use deletes or updates and prefer using things like the ReplacingMergeTree engine). I also leverage the MaterializedView feature for a few tables. Let me know if you need any more context or parameter, I use a pretty standard configuration.
Now, for a few months I have been experiencing performances issues where the server significantly slows down every day at 10am, and I cannot figure out why.
Based on Clickhouse built-in Graphite monitoring, the "symptoms" of the issue seem to be as follow:
At 10am:
On the server side:
Both load and RAM usage remain reasonable. Load goes up a little.
Disk write await time goes up (which I suspect is what leads to higher load)
Disk utilization % skyrockets to something between 90 and 100%
On Clickhouse side:
DiskSpaceReservedForMerge stays roughly the same (ie between 0 and 70Gb)
both OpenFileForRead and OpenFileForWrite go up by a factor of ~2
BackgroundCommonPoolTask goes slightly up, so does BackgroundSchedulePoolTask (which I found weird, because I thought this pool was dedicated to distributed operations - which I don't use) - both numbers remain seemingly reasonable
The number of active Merge tasks per minutes drop significantly but I'm unsure whether it's a consequence of slow writing or if it's causing it
both insert and general querying time are multiplied by ~10 which renders the database effectively unusable even for small tasks
Restarting Clickhouse usually fixes the problem but I obviously do not want to restart my main database every day at 10am. Most of the heavy load I put on the DB (such as data extraction and transformation, etc) happens earlier in the morning (and end around 7-8am) and runs fine. I do not have any heavy tasks running at 10am. The Clickhouse VM takes most of its host resources and I have confirmed with the devOps team that there doesn't seem to be a problem on the host or anything else scheduled on it at that time.
Is there any kind of background tasks or process that is run by Clickhouse on a daily basis and that could have a high impact on our disk capacity? What else can I monitor to figure out what is causing this problem?
Again, let me know if I can be more thorough on our settings and the state of the DB when the "bug" occurs.
Do you use https://github.com/innogames/graphite-ch-optimizer ?
Do you use TTL ?
select * from system.merges;
select * from system.part_log where event_time between ~10am~
The application used by a group of 100+ users was made with VB6 and RDO. A replacement is coming, but the old one is still maintained. Users moved to a different building across the street and problems began. My opinion regarding the problem has been bandwidth, but I've had to argue with others who say it's database. Users regularly experience network slowness using the application, but also workstation tasks in general. The application moves large audio files and indexes them on occasion as well as others. Occasionally the database becomes hung. We have many top end, robust SQL Servers, so it is not a server problem. What I figured out is, a transaction is begun on a connection, but fails to complete properly because of a communication error. Updates from other connections become blocked, they continue stacking up, and users are down half a day. What I've begun doing the moment I'm told of a problem, after verifying the database is hung, is set the database to single user then back to multiuser to clear connections. They must all restart their applications. Today I found out there is a bandwidth limit at their new location which they regularly max out. I think in the old location there was a big pipe servicing many people, but now they are on a small pipe servicing a small number of people, which is also less tolerant of momentary high bandwidth demands.
What I want to know is exactly what happens to packets, both coming and going, when a bandwidth limit is reached. Also I want to know what happens in SQL Server communication. Do some packets get dropped? Do they start arriving more out of sequence? Do timing problems occur?
I plan to start controlling such things as file moves through the application. But I also want to know what configurations are usually present on network nodes regarding transient high demand.
This is a very broad question. Networking is very key (especially in Availability Groups or any sort of mirroring set up) to good performance. When transactions complete on the SQL server, they are then placed in the output buffer. The app then needs to 'pick up' that data, clear it's output buffer and continue on. I think (without knowing your configuration) that your apps aren't able to complete the round trip because the network pipe is inundated with requests, so the apps can't get what they need to successfully finish and close out. This causes havoc as the network can't keep up with what the apps and SQL server are trying to do. Then you have a 200 car pileup on a 1 lane highway.
Hindsight being what it is, there should have been extensive testing on the network capacity before everyone moved across the street. Clearly, that didn't happen so you are kind of left to do what you can with what you have. If the company can't get a stable networking connection, the situation may be out of your control. If you're the DBA, I highly recommend you speak to your higher ups and explain to them the consequences of the reduced network capacity. Often times, showing the consequences of inaction can lead to action.
Out of curiosity, is there any way you can analyze what waits are happening when the pileup happens? I'm thinking it will be something along the lines of ASYNC_NETWORK_IO which is usually indicative that SQL is waiting on the app to come back and pick up it's data.
I have a web service that is used to manage files on a filesystem that are also tracked in a Microsoft SQL Server database. We have a .NET system service that watches for files that are added using the FileSystemWatcher class. When a file-added callback comes from FileSystemWatcher, metadata about the file is added to our database, and it works fairly well.
I've now come to a bit of a scalability problem. I'm adding large quantities of files to the filesystem in rapid succession, and this ends up hammering the database with file adds which results in locking up my web front-end.
I have yet to work on database scability issues, so I'm trying to come up with mitigate tactics. I was thinking of perhaps caching file adds and only writing them off to the database every five minutes or so, but I'm not sure how practical that is. This is data that needs to find its way into our database at some point anyway, and so it's going to have to get hammered at some point. Maybe I could limit the number of file db entries written per second to a certain amount, but then I risk having that amount be less than the rate at which files are added. How can I best tackle this?
Have you thought about using something like SQL Server Service Broker? That way you could push through tons of entries in a burst and it would level out the inserts into your database.
Basically you'd be pushing messages onto a queue which would then be consumed by a receiver stored procedure that would perform the insert for you. You could limit the maximum number of receivers executing to help with the responsiveness issues in your web interface.
There's a nice intro paper here. Although it's for 2005, not much has changed between 2005 and the newer versions of SQL Server.
You have a performance problem and you should approach it with a performance investigation methodology like Waits and Queues. Once you identify the actual problem, we can discuss solutions.
This is just a guess but, assuming the notification 'update metadata' code is a stright forward insert, the likely problem is that you're generating one transaction per notification. This results in commit flush waits, see Diagnosing Transaction Log Performance . Batch commit (aggregate multiple notifications before committing) is the canonical solution.
first option is using Caching to handle high-volume data. or using clusters for analysis high volume data. please click here for more information.
I'm deploying the Apache Solr web app in two redundant Tomcat 6 servers,
to provide redundancy and improved availability. At this point, scalability is not a issue.
I have a load balancer that can dynamically route traffic to one server or the other or both.
I know that Solr supports master/slave configuration, but that requires manual recovery if the slave receives updates during the master outage (which it will in my use case).
I'm considering a simpler approach using the ability to reload a core:
- only one of the two servers is receiving traffic at any time (the "active" instance), but both are running,
- both instances share the same index data and
- before re-routing traffic due to an outage, the now active instance is told to reload the index core(s)
Limited testing of failovers with both index reads and writes has been successful. What implications/issues am I missing?
Your thoughts and opinions welcomed.
The simple approach to redundancy your considering seems reasonable but you will not be able to use it for disaster recovery unless you can share the data/index to/from a different physical location using your NAS/SAN.
Here are some suggestions:-
Make backups for disaster recovery and test those backups work as an index could conceivably have been corrupted as there are no checksums happening internally in SOLR/Lucene. An index could get wiped or some records could get deleted and merged away without you knowing it and backups can be useful for recovering those records/docs at a later time if you need to perform an investigation.
Before you re-route traffic to the second instance I would run some queries to load caches and also to test and confirm the current index works before it goes online.
Isolate the updates to one location and process and thread to ensure transactional integrity in the event of a cutover as it could be difficult to manage consistency as SOLR does not use a vector clock to synchronize updates like some databases. I personally would keep a copy of all updates in order separately from SOLR in some other store just in case a small time window needs to be repeated.
In general, my experience with SOLR has been excellent as long as you are not using cutting edge features and plugins. I have one instance that currently has 40 million docs and an uptime of well over a year with no issues. That doesn't mean you wont have issues but gives you an idea of how stable it could be.
I hardly know anything about Solr, so I don't know the answers to some of the questions that need to be considered with this sort of setup, but I can provide some things for consideration. You will have to consider what sorts of failures you want to protect against and why and make your decision based on that. There is, after all, no perfect system.
Both instances are using the same files. If the files become corrupt or unavailable for some reason (hardware fault, software bug), the second instance is going to fail the same as the first.
On a similar note, are the files stored and accessed in such a way that they are always valid when the inactive instance reads them? Will the inactive instance try to read the files when the active instance is writing them? What would happen if it does? If the active instance is interrupted while writing the index files (power failure, network outage, disk full), what will happen when the inactive instance tries to load them? The same questions apply in reverse if the 'inactive' instance is going to be writing to the files (which isn't particularly unlikely if it wasn't designed with this use in mind; it might for example update some sort of idle statistic).
Also, reloading the indices sounds like it could be a rather time-consuming operation, and service will not be available while it is happening.
If the active instance needs to complete an orderly shutdown before the inactive instance loads the indices (perhaps due to file validity problems mentioned above), this could also be time-consuming and cause unavailability. If the active instance can't complete an orderly shutdown, you're gonna have a bad time.
Sorry for the long introduction but before I can ask my question, I think giving the background would help understanding our problem much better.
We are using sql server 2008 for our web services as the backend and from time to time it takes too much time for responding back for the requests that supposed to run really fast, like taking more than 20 seconds for a select request that queries a table that has only 22 rows. We went through many potential areas that could cause the issue from indexes to stored procedures, triggers etc, and tried to optimize whatever we can like removing indexes that are not read but write frequently or adding NOLOCK for our select queries to reduce the locking of the tables (we are OK with dirty reads).
We also had our DBA's reviewed the server and benchmarked the components to see any bottlenecks in CPU, memory or disk subsystem, and found out that hardware-wise we are OK as well. And since the pikes are occurring occasionally, it is really hard to reproduce the error on production or development because most of the time when we rerun the same query it yields response times that we are expecting, which are short, not the one that has been experienced earlier.
Having said that, I almost have been suspicious about I/O although it is not seem to be a bottleneck. But I think I was just be able to reproduce the error after running an index fragmentation report for a specific table on the server, which immediately caused pikes in requests not only run against that table but also in other requests that query other tables. And since the DB, and the server, is shared with other applications we use and also from time to time queries can be run on the server and database that take long time is a common scenario for us, my suspicion regarding occasional I/O bottleneck is, I believe, becoming a fact.
Therefore I want to find out a way that would prioritize requests that are coming from web services which will be processed even if there are other resource sensitive queries being run. I have been looking for some kind of prioritization I described above since very beginning of the resolution process and found out that SQL Server 2008 has a feature called 'Resource Governor' that allows prioritization of the requests.
However, since I am not an expert on Resource Governor nor a DBA, I would like to ask other people's experience who may have used or is using Resource Governor, as well as whether I can prioritize I/O for a specific login or a specific stored procedure (For example, if one I/O intensive process is being run at the time we receive a web service request, can SQL server stops, or slows down, I/O activity for that process and give a priority to the request we just received?).
Thank you for anyone that spends time on reading or helping out in advance.
Some Hardware Details:
CPU: 2x Quad Core AMD Opteron 8354
Memory: 64GB
Disk Subsystem: Compaq EVA8100 series (I am not sure but it should be RAID 0+1 accross 8 HP HSV210 SCSI drives)
PS:And I can almost 100 percent sure that application servers are not causing the error and there is no bottleneck we can identify there.
Update 1:
I'll try to answer as much as I can for the following questions that gbn asked below. Please let me know if you are looking something else.
1) What kind of index and statistics maintenance do you have please?
We have a weekly running job that defrags indexes every Friday. In addition to that, Auto Create Statistics and Auto Update Statistics are enabled. And the spikes are occurring in other times than the fragmentation job as well.
2) What kind of write data volumes do you have?
Hard to answer.In addition to our web services, there is a front end application that accesses the same database and periodically resource intensive queries needs to be run to my knowledge, however, I don't know how to get, let's say weekly or daily, write amount to DB.
3) Have you profiled Recompilation and statistics update events?
Sorry for not be able to figure out this one. I didn't understand what you are asking about by this question. Can you provide more information for this question, if possible?
first thought is that statistics are being updated because of the data change threshold is reached causing execution plans to be rebuilt.
What kind of index and statistics maintenance do you have please? Note: index maintenance updates index stats, not column stats: you may need separate stats updates.
What kind of write data volumes do you have?
Have you profiled Recompilation and statistics update events?
In response to question 3) of your Update to the original question, take a look at the following reference on SQL Server Pedia. It provides an explanation of what query recompiles are and also goes on to explain how you can monitor for these events. What I believe gbn is asking (feel free to correct me sir :-) ) is are you seeing recompile events prior to the slow execution of the troublesome query. You can look for this occurring by using the SQL Server Profiler.
Reasons for Recompiling a Query Execution Plan