The same with queues for client’s responses, it will keep responses if a client gone before a worker responds, and you need to “clean” it. if a worker becomes unavailable, it can receive a lot of expired tasks when it’s active again, and when a client gone by timeout, a task is still in queue. If you use MQ you need to “clean” queues, e.g. RabbitMQ is popular to use for RPC, but as other MQ systems has some overhead, as result it gives not the best performance.

MQ (async call) - when a response is not needed (at least not immediately), when you want to complete a task eventually, or just to transfer a data.

RPC (sync call) - when a client requires a response immediately (in short time), when a worker should respond while a client is waiting it, and if the client left (by timeout), then a response is not needed anymore (it’s why not needed to preserve a request, how it usually works in MQ) For example when you do some request/query to database, you do RPC, and you don’t want to use MQ for this.

“ 2-core test” splits up a server and clients with workers to different cores to reduce effect on each other, so a server was limited in 2 cores using taskset (multi-core test is without limits) Some thoughts about benchmarks are below.ĭespite these 2 ways are different, some times former is used instead of latter and vice versa, if you will try to find a kind of norm of which one and when to use it, it can look like this:.

CPU and memory usage are taken from `docker stats`.

“Inverted connection” - is a single point of access for clients and workers (can be ESB), it’s more easy way to configure it.

“Proxy connection” - is a way with single point of access, a client can be simple, but worker’s side still not easy to configure it: allocating and forwarding ports, registering for a proxy, more complex configuring a firewall, so sometimes you need to use some extra tools to control all this things.

“Direct connection” - when a client connects directly to a worker, so if there is a lot of services, this is more costly way to configure, all clients should know about all required workers (ip and port), but it usually produces minimal overhead for network.

Inverted Json supports RPC, MQ, PubSub and more. Inverted Json is a lightweight job server, which let you do RPC calls without side effects (a client and a worker are connected via Inverted Json for transfer data), it gives higher performance (7 times faster than via RabbitMQ), it works via http, so you can use any http-client even curl from console. Then the content of the table is queried.Memory usage, CPU usage and multi-core testīriefly: doing sync RPC calls using classic MQ is not effective, it gives lower performance and side effects which you have to handle. In the following example a table is created and loaded with data from a CSV file. In a batch mode query data can be passed via stdin.

To run the client in an interactive mode call it without -query argument.

-debug – Enables showing debug information.Default value for interactive mode: Prett圜ompact. -format OUTPUT_FORMAT, -f OUTPUT_FORMAT – A result output format.If not specified, the current database set in the server settings is used ( default by default). -database DATABASE, -d DATABASE – A default database.-query QUERY, -q QUERY – A query to process when using non-interactive mode.-user USER_NAME, -u USER_NAME – A user name.This port should be enabled in the ClickHouse server configuration (see grpc_port). -help – Shows a help message and exits.The client supports the following arguments: The built-in client requires grpcio and grpcio-tools Python modules. It is placed in utils/grpc-client/clickhouse-grpc-client.py in the repository. You can write a client in any of the programming languages supported by gRPC using the provided specification.

Grpc vs http benchmark