HERE Data SDK for C++

HERE Data SDK for C++ is a C++ client for the HERE platform.

Health check

Build and test

Linux GCC	Linux CLang	MacOS

iOS	Windows	Android

Test coverage

Platform	Status
Linux

Why use

Data SDK for C++ provides support for the core HERE platform use cases through a set of native C++ interfaces. The Data SDK is intended to save your time and effort on using HERE REST APIs. It provides a set of stable APIs that simplify complex platform operations and keeps up to date with the latest HERE REST API changes.

Data SDK for C++ is a modern (C++11), lightweight, and modular SDK with minimal dependencies targeted towards a wide range of hardware platforms from embedded devices to desktops.

This SDK lets you:

• Authenticate to HERE platform.
• Read catalog and partition metadata.
• Retrieve data from versioned, volatile, and stream layers of the platform catalogs.
• Upload data to the platform.

Additionally, the Data SDK includes classes for work with geospatial tiling schemes that are used by most platform catalog layers.

Backward compatibility

We try to develop and maintain our API in a way that preserves its compatibility with the existing applications. Changes in Data SDK for C++ are greatly influenced by the Data API development. Data API introduces breaking changes 6 months in advance. Therefore, you may need to migrate to a new version of Data SDK for C++ every half a year.

For more information on Data API, see its Developer Guide and API Reference.

When new API is introduced in Data SDK for C++, the old one is not deleted straight away. The standard API deprecation time is 6 months. It gives you time to switch to new code. However, we do not provide ABI backward compatibility.

All of the deprecated methods, functions, and parameters are documented in the Data SDK for C++ API Reference and changelog.

For more information on Data SDK for C++, see our Developer Guide.

Supported platforms

The table below lists the platforms on which the Data SDK has been tested.

Platform	Minimum requirement
Ubuntu Linux	GCC 7.5 and Clang 7.0
Embedded Linux (32 bit)	GCC 7.4 armhf
Windows	MSVC++ 2017
macOS	Apple Clang 11.0.0
iOS	Xcode 11.1, Swift 5.0
Android	API level 21

Dependencies

The table below lists the dependencies of the Data SDK.

Library	Minimum version
OpenSSL	1.1.1
Boost (headers only)	1.69.0
LevelDB	1.21
Snappy	1.1.7
RapidJSON	latest

Additional Linux dependencies

To build the Data SDK on Linux, additionally to the dependencies listed in the previous section, you also need to have libcurl 7.47.0 or later.

To install the dependencies on Linux, run the following command:

sudo apt-get update && sudo apt-get --yes install git g++ make cmake libssl-dev libcurl4-openssl-dev libboost-all-dev

Install the SDK

By default, the Data SDK downloads and compiles its dependencies. The versions of the downloaded dependencies may conflict with the versions that are already installed on your system. Therefore, the downloaded dependencies are not added to the install targets.

You can use the Data SDK in your CMake project or install it on your system.

Тo use the Data SDK directly in your CMake project, add the Data SDK via add_subdirectory().

To install the Data SDK on your system:

1. Install all the dependencies needed for the Data SDK.
   For more information on dependencies, see the Dependencies and Additional Linux dependencies sections.

2. (Optional) To find the required dependencies in the system, set the OLP_SDK_BUILD_EXTERNAL_DEPS flag to OFF.

3. (Optional) To build the Data SDK as a shared library, set the BUILD_SHARED_LIBS flag to ON.

Example

The following command builds and installs the Data SDK:

cmake --build . --target install

Build the SDK

CMake is the main build system. The minimal required version of CMake is 3.9.

CMake downloads LevelDB, Snappy, RapidJSON, and Boost. To disable downloading, set OLP_SDK_BUILD_EXTERNAL_DEPS to OFF. For details on CMake flags, see the related section.

To build the Data SDK:

1. Clone the repository folder.
2. In the root of the repository folder, run the following commands:

    mkdir build && cd build
    cmake ..
    cmake --build .

If you cannot build the Data SDK on Windows using this instruction, see Build on Windows.

Build on Windows

We assume that you have installed CMake, Microsoft Visual Studio 2017, and the Visual C++ tools for CMake component.

To build the Data SDK on Windows:

1. Launch Microsoft Visual Studio as administrator.

2. Open the folder containing the Data SDK or a CMake-based project that uses the Data SDK.

3. In Microsoft Visual Studio, check that the target does not contain "(Default)".
   For example, select "x64-Debug" instead of "x64-Debug (Default)".

4. Using the CMake menu provided by the Visual C++ tools for CMake, generate the .cmake files, and build the entire project with default options.

Note

Microsoft Visual Studio uses a default build directory that has a long path name. Since dependencies for the Data SDK are installed within the build directory, it is recommended that you edit the generated CMakeSettings.json file and change the build directory path name to a shorter path name. This ensures that the maximum length of each path is not greater than 260 characters. For details, see the Naming Files, Paths, and Namespaces section of the Windows Dev Center documentation.

Generate documentation with Doxygen

If you want to build documentation from annotated source code, you need to have Doxygen and CMake version 3.9 or later.

To generate Doxygen documentation, set the OLP_SDK_BUILD_DOC flag to ON when running the CMake configuration:

mkdir build && cd build
cmake -DOLP_SDK_BUILD_DOC=ON ..
cmake --build . --target docs

CMake flags

Flag	Description
BUILD_SHARED_LIBS	Defaults to OFF. If enabled, all libraries are built as shared.
OLP_SDK_BUILD_DOC	Defaults to OFF. If enabled, the API reference is generated in your build directory. Note: Before you download the API reference, install Doxygen.
OLP_SDK_ENABLE_TESTING	Defaults to ON. If enabled, unit tests are built for each library.
OLP_SDK_BUILD_EXTERNAL_DEPS	Defaults to ON. If enabled, CMake downloads and compiles dependencies.
OLP_SDK_NO_EXCEPTION	Defaults to OFF. If enabled, all libraries are built without exceptions.
OLP_SDK_BOOST_THROW_EXCEPTION_EXTERNAL	Defaults to OFF. When OLP_SDK_NO_EXCEPTION is ON, boost requires boost::throw_exception() to be defined. If enabled, the external definition of boost::throw_exception() is used. Otherwise, the library uses own definition.
OLP_SDK_MSVC_PARALLEL_BUILD_ENABLE (Windows Only)	Defaults to ON. If enabled, the /MP compilation flag is added to build the Data SDK using multiple cores.
OLP_SDK_DISABLE_DEBUG_LOGGING	Defaults to OFF. If enabled, The debug and trace level log messages will not be printed.
OLP_SDK_ENABLE_DEFAULT_CACHE	Defaults to ON. If enabled, The default cache implementation based on leveldb backend is enabled.

Use the SDK

To learn how to use the Data SDK, see the Getting Started Guide and the Developer Guide.

Contribution

For details, see HERE Data SDK C++ Contributors Guide.

LICENSE

Copyright (C) 2019–2021 HERE Europe B.V.

For license details, see the LICENSE file in the root of this project.

Note

This project has Open Source Software dependencies that are downloaded and installed upon execution of the abovementioned installation commands. For further details, see the CMake configuration files included in the external directory. trigger 3