#Thrift idl code

I was still convinced the flexibility and rapid changes would only come from having that code as a library.Р”В«ut, I finally started taking another look at services a few days ago. To be fair, I didnРІР‚в„ўt fully understand the services or microservices at that point - that made me skeptical of its use for something like data fetching. I brushed it away - not realizing the problems I was going to face in the next year. Because the database access was finely ingrained into the rest of the codebase, it was not possible to optimize or load balance properly.Р”Р„bout a year ago, I was asked if we should convert that library to a service.

Additionally, rapidly increasing production processes caused a strain on the database.

So, there was no way of changing the database without incurring downtime.

Changing anything in the database would break existing production processes.

Our data library directly called database queries. Over time, the number of production scripts relying on this library grew exponentially. However, it had some fatal flaws that I could not foresee at that point.

It was easy to support a new type of data - for example, macroeconomic indicators.It could be used for both live ingestion/consumption as well as historical data requirements.It worked flawlessly for interday, daily and monthly time periods. Flexible in terms of the data intervals supported.A single interface for all data types - Futures, Stocks, ETFs, Currencies, Indexes, and Funds from different exchanges.It had all the things we needed at that point: This data library turned out to be quite popular with my team. So, I decided to make a data library that I can use in my scripts. Similarly, different types of securities (Future, Option, Stock etc.) were stored in different locations. Intraday market data was stored differently in a cassandra cluster, while the daily/monthly data was in a MySQL database. I was writing a bunch of ML training scripts as well as several production scripts.Р”Вata was spread across multiple tables and multiple datastores. gRPC vs Thrift vs RPРµСљСљ comparison matrix.To run tests use РІР‚Сљmake checkРІР‚Сњ.RPC Frameworks: gRPC vs Thrift vs RPРµСљСљ for python configure РІР‚вЂњenable-libs=no switch to build the Apache Thrift IDL Compiler only without lib builds.

#Thrift idl install

The make install step installs the compiler on the path: /usr/local/bin/thrift This will build the compiler (thrift/compiler/cpp/thrift РІР‚вЂњversion) and any language libraries supported. Install C++ Lib Dependencies sudo yum -y install libevent-devel zlib-devel openssl-develР”В«uild and Install the Apache Thrift IDL Compiler git clone If you will be developing Apache Thrift clients/servers in C++ you will also need additional packages to support the C++ shared library build.

#Thrift idl upgrade

Upgrade autoconf/automake/bison sudo yum install -y wgetР”Р„dd Optional C++ Language Library DependenciesР”Р„ll languages require the Apache Thrift IDL Compiler and at this point everything needed to make the IDL Compiler is installed (if you only need the compiler you can skip to the Build step). Install the Platform Development Tools sudo yum -y groupinstall 'Development Tools' These instructions should also work with Apache Thrift releases beginning with 0.9.2. This example builds from source, using the current development master branch. Starting with a minimal installation, the following steps are required to build Apache Thrift on Centos 6.5.