Non-relational databases are nowadays a common solution when dealing with a huge data set and massive query workload. These systems have been redesigned from scratch to achieve scalability and availability at the cost of providing only a reduced set of low-level functionality, thus forcing the client application to take care of complex logic. As a solution, our research group developed Hecuba, a set of tools and interfaces, which aims to facilitate programmers with an efficient and easy interaction with non-relational technologies.
- GCC >= 5.4.0
- CMake >= 3.14
- Python >= 3.6 development version installed.
- Apache Cassandra >= 4.0
- Kafka >= 2.13
- numpy library >= 1.16
- Cassandra driver for python >= 3.7.1
- nose >= 1.3.7
- ccm
- mock
- Cassandra driver for C++ >= 2.14.1
- Intel Threading Building Blocks (libTBB) >= 2020.0
- libuv >= 1.11.0
- Apache Arrow >= 0.15.1
- yaml-cpp >= 0.7.0
- librdkafka >= 1.9.2
To ease Hecuba installation we have prepared a wheel package with all the required dependencies, and installable through the 'pip' tool:
pip install hecubaThis will install in the default installation directories, typically the system, but you can use the '--user' flag or use a virtual environment to change the target directory.
This installation only supports X86_64 architectures and has used GCC to generate the libraries.
The first step is to download the code.
# Clone the repository
git clone https://github.com/bsc-dd/hecuba.git hecuba_repo
cd hecuba_repoThen it is only necessary to run the setup.py Python script, which performs all the steps to compile and install Hecuba in the system. Notice that Hecuba is composed by Python code and C++ code. The setup.py script takes care of both, on the one hand, compiles the C++ Hecuba code and its dependencies and installs their C++ header files and generated libraries; and on the other hand, installs the Python package.
The parameters passed to the setup.py script indicates what to do (build or install) and where to install Hecuba and its dependencies.
You may compile and install the Python package using one of the following commands:
# (1) To install hecuba to the default system directory
python setup.py install
# (2) Install to user space, under $HOME/.local
python setup.py install --user
# (3) Install to a user-defined path $CUSTOM_PATH
python setup.py install --prefix=$CUSTOM_PATHWhere the --user and --prefix flags are used to define different directories for the Python package.
The target directory for the Python package can be the default system directory (1), the user space ($HOME/.local) (2) or a custom path (3).
Warning: Be sure that the PYTHONPATH variable contain the path to the Hecuba Python package in the case (3).
Warning: The python wrapper stores an RPATH for the dependencies, therefore the used/generated libraries during compilation phase must always be accessible at the same path (they can not be moved or deleted).
If required, you can use the following command to just compile Hecuba C++ library, its dependencies and the Python wrapper:
python setup.py build
At first the dependencies are checked in the machine, looking at the directories stated in LD_LIBRARY_PATH and the hecuba's compilation directory (build/lib by default). Any unmet dependency will be downloaded, compiled and installed in the compilation directory (build/lib).
You may use the --c_binding flag to set the directory where to search for libraries and store the new generated libraries.
This procedure launches CMake to build the dependencies, which may take some time.
If CMake selects a non-compliant compiler, it can be explicitly selected by defining the environment variables CC=/custom/path/gcc and CXX=/custom/path/g++. Then remove the hecuba_core/build folder (where all the CMake cache files an generated object files reside) and restart the installation process.
Before starting the compilation, the installation procedure checks if the required libraries are already in the directories specified as the compilation directories or accessible via LD_LIBRARY_PATH. If they are not there, then it checks if their source code is in the directory hecuba_core/dependencies. If it is not there, then it downloads its source code.
Note: If you want to install Hecuba on a computer without internet access, first make an initial installation on a machine that has internet access and then copy the files under hecuba_core/dependencies to the remote computer under the same directory.
If you need just the C++ interface of Hecuba and want to skip the Python installation you can just build the C++ side using the following comands:
cmake -Hhecuba_core -Bbuild -DC_BINDING_INSTALL_PREFIX=$HECUBA_LIBS_PATH
make -C buildThis will install under the HECUBA_LIBS_PATH/lib folder the C++ libraries and under HECUBA_LIBS_PATH/include the headers.
Please, refer to the Hecuba manual for the execution instructions.
Copyright 2017 Barcelona Supercomputing Center
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.