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May. 25, 2018
May. 7, 2017

MapD Core

MapD Core is an in-memory, column store, SQL relational database that was designed from the ground up to run on GPUs.

Table of Contents



This project is licensed under the Apache License, Version 2.0.

The repository includes a number of third party packages provided under separate licenses. Details about these packages and their respective licenses is at ThirdParty/licenses/

The standard build process for this project downloads the Community Edition of the MapD Immerse visual analytics client. This version of MapD Immerse is governed by a separate license agreement, included in the file EULA-CE.txt, and may only be used for non-commercial purposes.


In order to clarify the intellectual property license granted with Contributions from any person or entity, MapD must have a Contributor License Agreement ("CLA") on file that has been signed by each Contributor, indicating agreement to the Contributor License Agreement. After making a pull request, a bot will notify you if a signed CLA is required and provide instructions for how to sign it. Please read the agreement carefully before signing and keep a copy for your records.


If this is your first time building MapD Core, install the dependencies mentioned in the Dependencies section below.

MapD uses CMake for its build system.

mkdir build
cd build
cmake -DCMAKE_BUILD_TYPE=debug ..
make -j 4

The following cmake/ccmake options can enable/disable different features:

  • -DCMAKE_BUILD_TYPE=release build type and compiler options to use. Options: Debug, Release, RelWithDebInfo, MinSizeRel, and unset.
  • -DENABLE_CUDA=off disable CUDA. Default on.
  • -DMAPD_IMMERSE_DOWNLOAD=on download the latest master build of Immerse / mapd2-frontend. Default on.
  • -DMAPD_DOCS_DOWNLOAD=on download the latest master build of the documentation / Default off. Note: this is a >50MB download.
  • -DPREFER_STATIC_LIBS=on static link dependencies, if available. Default off.
  • -DENABLE_AWS_S3=on enable AWS S3 support, if available. Default on.
  • -DENABLE_TESTS=on build unit tests. Default on.


MapD Core uses Google Test as its main testing framework. Tests reside under the Tests directory.

The sanity_tests target runs the most common tests. If using Makefiles to build, the tests may be run using:

make sanity_tests


AddressSanitizer can be activated by setting the ENABLE_ASAN CMake flag in a fresh build directory. At this time CUDA must also be disabled. In an empty build directory run CMake and compile:

mkdir build && cd build
make -j 4

Finally run the tests:

export ASAN_OPTIONS=alloc_dealloc_mismatch=0:handle_segv=0
make sanity_tests


ThreadSanitizer can be activated by setting the ENABLE_TSAN CMake flag in a fresh build directory. At this time CUDA must also be disabled. In an empty build directory run CMake and compile:

mkdir build && cd build
make -j 4

We use a TSAN suppressions file to ignore warnings in third party libraries. Source the suppressions file by adding it to your TSAN_OPTIONS env:

export TSAN_OPTIONS="suppressions=/path/to/mapd/config/tsan.suppressions"

Finally run the tests:

make sanity_tests


The startmapd wrapper script may be used to start MapD Core in a testing environment. This script performs the following tasks:

  • initializes the data storage directory via initdb, if required
  • starts the main MapD Core server, mapd_server
  • starts the MapD Core web server, mapd_web_server, for serving MapD Immerse
  • offers to download and import a sample dataset, using the insert_sample_data script
  • attempts to open MapD Immerse in your web browser

Assuming you are in the build directory, and it is a subdirectory of the mapd-core repository, startmapd may be run by:


Starting Manually

It is assumed that the following commands are run from inside the build directory.

Initialize the data storage directory. This command only needs to be run once.

mkdir data && ./bin/initdb data

Start the MapD Core server:


In a new terminal, start the MapD Core web server:


If desired, insert a sample dataset by running the insert_sample_data script in a new terminal:


You can now start using the database. The mapdql utility may be used to interact with the database from the command line:

./bin/mapdql -p HyperInteractive

where HyperInteractive is the default password. The default user mapd is assumed if not provided.

You can also interact with the database using the web-based MapD Immerse frontend by visiting the web server's default port of 9092:


Note: usage of MapD Immerse is governed by a separate license agreement, provided under EULA-CE.txt. The version bundled with this project may only be used for non-commercial purposes.

Code Style

A .clang-format style configuration, based on the Chromium style guide, is provided at the top level of the repository. Please format your code using a recent version (3.8+) of ClangFormat before submitting.

To use:

clang-format -i File.cpp

Contributed code should compile without generating warnings by recent compilers (gcc 4.9, gcc 5.3, clang 3.8) on most Linux distributions. Changes to the code should follow the C++ Core Guidelines.


MapD has the following dependencies:

Package Min Version Required
CMake 3.3 yes
LLVM 3.8-4.0 yes
GCC 4.9 no, if building with clang
Go 1.6 yes
Boost 1.57.0 yes
OpenJDK 1.7 yes
CUDA 7.5 yes, if compiling with GPU support
gperftools yes
gdal yes
Arrow 0.7.0 yes

Dependencies for mapd_web_server and other Go utils are in ThirdParty/go. See ThirdParty/go/src/mapd/vendor/ for instructions on how to add new deps.

CentOS 7

MapD Core requires a number of dependencies which are not provided in the common CentOS/RHEL package repositories. The script scripts/ is provided to automatically build and install these dependencies. A prebuilt package containing these dependencies is also provided for CentOS 7 (x86_64).

First install the basic build tools:

sudo yum groupinstall -y "Development Tools"
sudo yum install -y \
    zlib-devel \
    epel-release \
    libssh \
    openssl-devel \
    ncurses-devel \
    git \
    maven \
    java-1.8.0-openjdk-devel \
    java-1.8.0-openjdk-headless \
    gperftools \
    gperftools-devel \
    gperftools-libs \
    python-devel \
    wget \
    curl \

Next download and install the prebuilt dependencies:

curl -OJ
sudo bash

These dependencies will be installed to a directory under /usr/local/mapd-deps. The script also installs Environment Modules in order to simplify managing the required environment variables. Log out and log back in after running the script in order to active Environment Modules command, module.

The mapd-deps environment module is disabled by default. To activate for your current session, run:

module load mapd-deps

To disable the mapd-deps module:

module unload mapd-deps

WARNING: The mapd-deps package contains newer versions of packages such as GCC and ncurses which might not be compatible with the rest of your environment. Make sure to disable the mapd-deps module before compiling other packages.

Instructions for installing CUDA are below.


It is preferred, but not necessary, to install CUDA and the NVIDIA drivers using the .rpm using the instructions provided by NVIDIA. The rpm (network) method (preferred) will ensure you always have the latest stable drivers, while the rpm (local) method allows you to install does not require Internet access.

The .rpm method requires DKMS to be installed, which is available from the Extra Packages for Enterprise Linux repository:

sudo yum install epel-release

Be sure to reboot after installing in order to activate the NVIDIA drivers.

Environment Variables

scripts/ generates two files with the appropriate environment variables: mapd-deps-<date>.sh (for sourcing from your shell config) and mapd-deps-<date>.modulefile (for use with Environment Modules, yum package environment-modules). These files are placed in mapd-deps install directory, usually /usr/local/mapd-deps/<date>. Either of these may be used to configure your environment: the .sh may be sourced in your shell config; the .modulefile needs to be moved to the modulespath.


scripts/ is provided that will automatically install and/or update Homebrew and use that to install all dependencies. Please make sure macOS is completely update to date and Xcode is installed before running. Xcode can be installed from the App Store.

CUDA will automatically install CUDA via Homebrew and add the correct environment variables to ~/.bash_profile.

Java will automatically install Java and Maven via Homebrew and add the correct environment variables to ~/.bash_profile.

Ubuntu 16.04 - 17.10

Most build dependencies required by MapD Core are available via APT. Certain dependencies such as Thrift, Blosc, and Folly must be built as they either do not exist in the default repositories or have outdated versions. The provided scripts/ script will install all required dependencies (except CUDA) and build the dependencies which require it. The built dependencies will be installed to /usr/local/mapd-deps/ by default; see the Environment Variables section below for how to add these dependencies to your environment.

Environment Variables

The CUDA and mapd-deps lib directories need to be added to LD_LIBRARY_PATH; the CUDA and mapd-deps bin directories need to be added to PATH. The script above will generate a script named containing the environment variables which need to be set. Simply source this file in your current session (or symlink it to /etc/profile.d/ in order to activate it:

source /usr/local/mapd-deps/


Recent versions of Ubuntu provide the NVIDIA CUDA Toolkit and drivers in the standard repositories. To install:

sudo apt install -y \

Be sure to reboot after installing in order to activate the NVIDIA drivers.


The following uses yaourt to install packages from the Arch User Repository.

yaourt -S \
    git \
    cmake \
    boost \
    google-glog \
    extra/jdk8-openjdk \
    clang \
    llvm \
    thrift \
    go \
    gdal \

wget --continue$VERS.tar.gz
tar xvf $VERS.tar.gz
pushd bisonpp-$VERS
make -j $(nproc)
sudo make install


CUDA and the NVIDIA drivers may be installed using the following.

yaourt -S \
    linux-headers \
    cuda \

Be sure to reboot after installing in order to activate the NVIDIA drivers.

Environment Variables

The CUDA bin directories need to be added to PATH. The easiest way to do so is by creating a new file named /etc/profile.d/ containing the following:

export PATH

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