On Mon, Oct 7, 2019 at 11:11 AM pslawek83 <pslawe...@o2.pl> wrote:
> Innodb buffer pool should be probably around 10-20GB if you're going to
> use just one single innodb table. Currently you are probably killing
> mariadb with these 1.3k threads. First you can try to limit threads running
> simultaneusly to 5-30 because you're not goint to have any performance
> benefit from going above certain (rather low) point, you'll only produce
> mutex contention so the server will became overloaded with thread
> coordination code rather than doing any real work. 50 threads would be
> probably too much already, and you have 20 times that ;)
>
I understand. The problem is that, in that case, the client writing to
the FIFO would block in no time. I can try increasing the capacity of the
FIFO - that would help.
>
> Not sure if you're doing single op per transaction but without changes to
> code you probably won't be able to make this app run considerably faster
> anyway. Because small ops, like couter increment will never be fast in SQL
> so you'll need some intermediate "aggregation" step to issue as few sql
> commands and as few transactions as possible.
>
That sounds like a good suggestion. Thanks.
>
> In your C app you probably need to preprocess and aggregate the data. You
> take eg. 100k operations and process them in memory. So eg. insert, modify
> and set on same PK would became just single set. Then you can further
> divide these 100k operations into 1k-ops transactions.
>
> At the end you can parallelize by starting many instances of the
> application and spreading the keys over using CRC32. So probably what
> you'll need to do is:
>
> 1. aggregate as many operations as possible
> 2. divide to N chunks
> 3. read all affected keys for chunk X in single query
> 4. modify data in memory
> 5. output a transaction
> 6. goto 3 untill all chunks are done
>
>
> Dnia 7 października 2019 18:17 JCA <1.41...@gmail.com> napisał(a):
>
> I am running MariaDB 10.0.34 on a Slackware 14.2 system. I have a C
> application that interacts with MariaDB in the following way:
>
> 1. Read data from a FIFO.
> 2. Insert the data into a table in a MariaDB database, if absent, or
> modify it according to certain specific criteria otherwise.
>
> This works as expected.
>
> The problem that I have is that data are being written to the FIFO at a
> fast rate. In order to be able to keep up, at any given time my application
> reads the data available at the FIFO, and spawns a thread to process the
> chunk of data just read. It is in this thread that all the database
> interaction takes place. In order to deal with this, I have the following
> entries in my /etc/my.cnf file:
>
> # this is read by the standalone daemon and embedded servers
> [server]
>
> # this is only for the mysqld standalone daemon
> [mysqld]
> # thread_handling=pool-of-threads
> # log=/var/log/mysqld.log
>
> # this is only for embedded server
> [embedded]
>
> # This group is only read by MariaDB servers, not by MySQL.
> # If you use the same .cnf file for MySQL and MariaDB,
> # you can put MariaDB-only options here
> [mariadb]
> # log=/var/log/mysqld.log
> general_log_file = /var/lib/mysql/mysql.log
> # general_log = 1
>
> # transaction-isolation = READ-COMMITTED
> # key_buffer = 1280M # 128MB for every 1GB of
> RAM
> # sort_buffer_size = 1M # 1MB for every 1GB of
> RAM
> # read_buffer_size = 1M # 1MB for every 1GB of
> RAM
> # read_rnd_buffer_size = 1M # 1MB for every 1GB of
> RAM
> # thread_concurrency = 24 # Based on the number of
> CPUs
> # so make it CPU*2
> # thread-handling=pool-of-threads
> # innodb_flush_log_at_trx_commit != 1
> # open_files_limit = 50000
>
> thread-handling=pool-of-threads
> max_connections = 1000
> table_open_cache = 800
> query_cache_type = 0
> innodb_buffer_pool_size = 512M
> innodb_buffer_pool_instances = 10
> innodb_adaptive_hash_index_partitions = 20
> innodb_lock_wait_timeout = 5000
> With this, my application can keep up with the FIFO writer, but -
> depending on the circumstances - my database can't. As I am writing this,
> there are over 1300 threads connected to my database; any command that I
> issue at the mysql CLI takes over one minute to return. I am keeping track
> on how long each thread takes to complete, and that is of the order of
> hundreds of seconds - sometimes thousands. Each thread is itself simple, in
> that it just issues a couple of simple MariaDB commands. Currently my
> table consists of 1.6 million entries, and growing - on this basis, I
> expect that things will get only worse. Each entry,however, will never
> require more than a couple of hundred bytes of storage. The operations that
> can be undertaken on entries are insertion, deletion and modification, the
> latter being straightforward - like e.g. incrementing a counter or
> replacing a short string.
>
> My system has 24 GB of RAM and 12 cores. Occasionally all the cores are
> fully busy with MariaDB activity, but most of the time barely one or two
> are.
>
> I am a newbie when it comes to interacting with MariaDB - please, bear
> with me. I know I must use a single database and a single table. I also
> know - because of the nature of the data that are being written to the FIFO
> - that the probability for two different threads to be operating on the
> same entry in the table at the same time is negligible - i.e. for all
> practical purposes, that will not happen.
>
> What I need is advice on how to configure my instance of MariaDB to
> perform optimally in the scenario above. In particular, I would like for it
> to make better use of all the cores available - in essence, to parallelize
> the database operations as much as possible.
>
> Feedback from the experts will be much appreciated.
>
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>
>
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