MAC
Install Bison :Bison 2.3 is preinstalled on OSX, but this version is outdated, and we need a newer version.
When building Thrift with Bison 2.3, the following error would be shown in the build output: invalid directive: '%code'
In such a case, please update Bison:
brew install bison brew link bison --force
Then, you need to tell the OS where the new bison is.
For Bash users:
echo 'export PATH="/usr/local/opt/bison/bin:$PATH"' >> ~/.bash_profile
For zsh users:
echo 'export PATH="/usr/local/opt/bison/bin:$PATH"' >> ~/.zshrc
Install Boost :Please make sure a relative new version of Boost is ready on your machine. If no Boost available, install the latest version of Boost:
brew install boost
brew link boost
OpenSSL :Make sure the Openssl libraries has been installed on your Mac. The default Openssl include file search path is “/usr/local/opt/openssl/include”.
If Openssl header files can not be found when building Thrift, please add option-Dopenssl.include.dir="".
Ubuntu 20
To install all dependencies, run:
sudo apt-get install gcc-9 g++-9 libstdc++-9-dev bison flex libboost-all-dev libssl-dev zlib1g-dev
CentOS 7.x
Some packages can be installed using Yum:
sudo yum install bison flex openssl-devel
The version of gcc and boost installed by yum is too low, therefore you should compile or download these binary packages by yourself.
Windows
Building environment
MS Visual Studio(recommend 2019 version): remember to install Visual Studio C/C++ IDE and compiler(supporting CMake, Clang, MinGW).Download and install Flex & Bison
flex.exe and bison.exe and add the directory containing them to the PATH environment variable.Install Boost
Boost by executing bootstrap.bat and b2.exe.Install OpenSSL
You can download the source code from the IoTDB Website or clone the GIT repository:
git clone https://github.com/apache/iotdb.git
The default dev branch is the master branch, If you want to use a released version (e.g. 0.13.3 or 1.2.0), be sure to check out the corresponding tag:
git checkout v0.13.3
(Please note that we are using a Go compatible naming schema for our release tags, which prefixes the version by a v)
Under the root path of iotdb:
Mac & Linux:
mvn package -P compile-cpp -pl example/client-cpp-example -am -DskipTest
Windows:
mvn package -P compile-cpp -pl iotdb-client/client-cpp,iotdb-core/datanode,example/client-cpp-example -am -Dcmake.generator="your cmake generator" -Dboost.include.dir=${your boost header folder} -Dboost.library.dir=${your boost lib (stage) folder} -DskipTests
-Dcmake.generator="" option to specify a Cmake generator. E.g. -Dcmake.generator="Visual Studio 16 2019" (cmake --help shows a long list of supported Cmake generators.)-DboostIncludeDir="C:\Program Files (x86)\boost_1_78_0" -DboostLibraryDir="C:\Program Files (x86)\boost_1_78_0\stage\lib" to your mvn build command. ``As soon as the compilation finishes successfully, the packaged zip file will be placed under client-cpp/target/client-cpp-1.3.0-SNAPSHOT-cpp-${os}.zip
Here we demonstrate the most commonly used interfaces and their parameters in the Native API:
Open a Session:
void open();
Open a session, with a parameter controlling if RPC compression should be used:
void open(bool enableRPCCompression);
Notice: The RPC compression setting of the client is required to match that of the IoTDB server
Close a session:
void close();
void setStorageGroup(const std::string &storageGroupId);
void deleteStorageGroup(const std::string &storageGroup); void deleteStorageGroups(const std::vector<std::string> &storageGroups);
void createTimeseries(const std::string &path, TSDataType::TSDataType dataType, TSEncoding::TSEncoding encoding, CompressionType::CompressionType compressor); void createMultiTimeseries(const std::vector<std::string> &paths, const std::vector<TSDataType::TSDataType> &dataTypes, const std::vector<TSEncoding::TSEncoding> &encodings, const std::vector<CompressionType::CompressionType> &compressors, std::vector<std::map<std::string, std::string>> *propsList, std::vector<std::map<std::string, std::string>> *tagsList, std::vector<std::map<std::string, std::string>> *attributesList, std::vector<std::string> *measurementAliasList);
void createAlignedTimeseries(const std::string &deviceId, const std::vector<std::string> &measurements, const std::vector<TSDataType::TSDataType> &dataTypes, const std::vector<TSEncoding::TSEncoding> &encodings, const std::vector<CompressionType::CompressionType> &compressors);
void deleteTimeseries(const std::string &path); void deleteTimeseries(const std::vector<std::string> &paths);
bool checkTimeseriesExists(const std::string &path);
void createSchemaTemplate(const Template &templ);
templateName at path prefixPath:void setSchemaTemplate(const std::string &template_name, const std::string &prefix_path);
void unsetSchemaTemplate(const std::string &prefix_path, const std::string &template_name);
// Add aligned measurements to a template void addAlignedMeasurementsInTemplate(const std::string &template_name, const std::vector<std::string> &measurements, const std::vector<TSDataType::TSDataType> &dataTypes, const std::vector<TSEncoding::TSEncoding> &encodings, const std::vector<CompressionType::CompressionType> &compressors); // Add one aligned measurement to a template void addAlignedMeasurementsInTemplate(const std::string &template_name, const std::string &measurement, TSDataType::TSDataType dataType, TSEncoding::TSEncoding encoding, CompressionType::CompressionType compressor); // Add unaligned measurements to a template void addUnalignedMeasurementsInTemplate(const std::string &template_name, const std::vector<std::string> &measurements, const std::vector<TSDataType::TSDataType> &dataTypes, const std::vector<TSEncoding::TSEncoding> &encodings, const std::vector<CompressionType::CompressionType> &compressors); // Add one unaligned measurement to a template void addUnalignedMeasurementsInTemplate(const std::string &template_name, const std::string &measurement, TSDataType::TSDataType dataType, TSEncoding::TSEncoding encoding, CompressionType::CompressionType compressor); // Delete a node in template and its children void deleteNodeInTemplate(const std::string &template_name, const std::string &path);
// Return the amount of measurements inside a template int countMeasurementsInTemplate(const std::string &template_name); // Return true if path points to a measurement, otherwise returne false bool isMeasurementInTemplate(const std::string &template_name, const std::string &path); // Return true if path exists in template, otherwise return false bool isPathExistInTemplate(const std::string &template_name, const std::string &path); // Return all measurements paths inside template std::vector<std::string> showMeasurementsInTemplate(const std::string &template_name); // Return all measurements paths under the designated patter inside template std::vector<std::string> showMeasurementsInTemplate(const std::string &template_name, const std::string &pattern);
void insertRecord(const std::string &deviceId, int64_t time, const std::vector<std::string> &measurements, const std::vector<char *> &values);
typesList parameter the server doesn't need to do type inference, which results in better performance):void insertRecords(const std::vector<std::string> &deviceIds, const std::vector<int64_t> ×, const std::vector<std::vector<std::string>> &measurementsList, const std::vector<std::vector<char *>> &valuesList);
void insertRecordsOfOneDevice(const std::string &deviceId, std::vector<int64_t> ×, std::vector<std::vector<std::string>> &measurementsList, std::vector<std::vector<char *>> &valuesList);
All of the above versions require the server to figure out the data-types of each value, which comes with quite a performance-cost, therefore all of the above are also available in a version without type-inference:
void insertRecord(const std::string &deviceId, int64_t time, const std::vector<std::string> &measurements, const std::vector<TSDataType::TSDataType> &types, const std::vector<std::string> &values); void insertRecords(const std::vector<std::string> &deviceIds, const std::vector<int64_t> ×, const std::vector<std::vector<std::string>> &measurementsList, const std::vector<std::vector<TSDataType::TSDataType>> &typesList, const std::vector<std::vector<std::string>> &valuesList); void insertRecordsOfOneDevice(const std::string &deviceId, std::vector<int64_t> ×, std::vector<std::vector<std::string>> &measurementsList, std::vector<std::vector<TSDataType::TSDataType>> &typesList, const std::vector<std::vector<std::string>> &valuesList);
For even better performance, it is recommended to use Tablets to help improve write efficiency.
void insertTablet(Tablet &tablet);
void insertTablets(std::unordered_map<std::string, Tablet *> &tablets);
The insertion of aligned timeseries is performed by functions such as insertAlignedXXX however semantically they align to the non-aligned versions of the previous chapter:
void insertAlignedRecord(const std::string &deviceId, int64_t time, const std::vector<std::string> &measurements, const std::vector<std::string> &values); void insertAlignedRecord(const std::string &deviceId, int64_t time, const std::vector<std::string> &measurements, const std::vector<TSDataType::TSDataType> &types, const std::vector<char *> &values); void insertAlignedRecords(const std::vector<std::string> &deviceIds, const std::vector<int64_t> ×, const std::vector<std::vector<std::string>> &measurementsList, const std::vector<std::vector<std::string>> &valuesList); void insertAlignedRecords(const std::vector<std::string> &deviceIds, const std::vector<int64_t> ×, const std::vector<std::vector<std::string>> &measurementsList, const std::vector<std::vector<TSDataType::TSDataType>> &typesList, const std::vector<std::vector<char *>> &valuesList); void insertAlignedRecordsOfOneDevice(const std::string &deviceId, std::vector<int64_t> ×, std::vector<std::vector<std::string>> &measurementsList, std::vector<std::vector<TSDataType::TSDataType>> &typesList, std::vector<std::vector<char *>> &valuesList); void insertAlignedRecordsOfOneDevice(const std::string &deviceId, std::vector<int64_t> ×, std::vector<std::vector<std::string>> &measurementsList, std::vector<std::vector<TSDataType::TSDataType>> &typesList, std::vector<std::vector<char *>> &valuesList, bool sorted); void insertAlignedTablet(Tablet &tablet); void insertAlignedTablet(Tablet &tablet, bool sorted); void insertAlignedTablets(std::unordered_map<std::string, Tablet *> &tablets, bool sorted = false);
void deleteData(const std::string &path, int64_t endTime); void deleteData(const std::vector<std::string> &paths, int64_t endTime); void deleteData(const std::vector<std::string> &paths, int64_t startTime, int64_t endTime);
Query statements return data.
unique_ptr<SessionDataSet> executeQueryStatement(const std::string &sql);
Non-Query statements don't return data (Delete, Create, ... statements)
void executeNonQueryStatement(const std::string &sql);
The sample code for using these interfaces is located in:
example/client-cpp-example/src/SessionExample.cppexample/client-cpp-example/src/AlignedTimeseriesSessionExample.cppAs soon as the compilation finishes, the example project will be located at example/client-cpp-example/target
If errors occur when compiling thrift source code, try to downgrade your xcode-commandline from 12 to 11.5
When Building Thrift and downloading packages via “wget”, a possible annoying issue may occur with error message looks like:
Failed to delete cached file C:\Users\Administrator\.m2\repository\.cache\download-maven-plugin\index.ser
Possible fixes: