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Copy file name to clipboardexpand all lines: docs/en/deploy/compile.md
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This section describes the steps to compile and use OpenMLDB inside its official docker image [hybridsql](https://hub.docker.com/r/4pdosc/hybridsql).
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The docker image has packed required tools and dependencies, so there is no need to set them up separately. To compile without the official docker image, refer to the section [Detailed Instructions for Build](#detailed-instructions-for-build) below.
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Keep in mind that you should always use the same version of both compile image and [OpenMLDB version](https://github.com/4paradigm/OpenMLDB/releases). This section demonstrates compiling for [OpenMLDB v0.7.3](https://github.com/4paradigm/OpenMLDB/releases/tag/v0.7.3) under `hybridsql:0.7.3` ，If you prefer to compile on the latest code in `main` branch, pull `hybridsql:latest` image instead.
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Keep in mind that you should always use the same version of both compile image and [OpenMLDB version](https://github.com/4paradigm/OpenMLDB/releases). This section demonstrates compiling for [OpenMLDB v0.8.0](https://github.com/4paradigm/OpenMLDB/releases/tag/v0.8.0) under `hybridsql:0.8.0` ，If you prefer to compile on the latest code in `main` branch, pull `hybridsql:latest` image instead.
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1. Pull the docker image
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```bash
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docker pull 4pdosc/hybridsql:0.7
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docker pull 4pdosc/hybridsql:0.8
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```
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2. Create a docker container with the hybridsql docker image
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```bash
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docker run -it 4pdosc/hybridsql:0.7 bash
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docker run -it 4pdosc/hybridsql:0.8 bash
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```
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3. Download the OpenMLDB source code inside the docker container, and setting the branch into v0.7.3
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3. Download the OpenMLDB source code inside the docker container, and setting the branch into v0.8.0
Copy file name to clipboardexpand all lines: docs/en/deploy/install_deploy.md
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* The number of cores is recommended to be no less than 4 cores. If the CPU does not support the AVX2 instruction set in the Linux environment, the deployment package needs to be recompiled from the source code.
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## Deployment Package
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The precompiled OpenMLDB deployment package is used by default in this documentation ([Linux](https://github.com/4paradigm/OpenMLDB/releases/download/v0.7.3/openmldb-0.7.3-linux.tar.gz) , [macOS](https://github.com/4paradigm/OpenMLDB/releases/download/v0.7.3/openmldb-0.7.3-darwin.tar.gz)), the supported operating system requirements are: CentOS 7, Ubuntu 20.04, macOS >= 10.15. If the user wishes to compile by himself (for example, for OpenMLDB source code development, the operating system or CPU architecture is not in the support list of the precompiled deployment package, etc.), the user can choose to compile and use in the docker container or compile from the source code. For details, please refer to our [compile documentation](compile.md).
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The precompiled OpenMLDB deployment package is used by default in this documentation ([Linux](https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.0/openmldb-0.8.0-linux.tar.gz) , [macOS](https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.0/openmldb-0.8.0-darwin.tar.gz)), the supported operating system requirements are: CentOS 7, Ubuntu 20.04, macOS >= 10.15. If the user wishes to compile by himself (for example, for OpenMLDB source code development, the operating system or CPU architecture is not in the support list of the precompiled deployment package, etc.), the user can choose to compile and use in the docker container or compile from the source code. For details, please refer to our [compile documentation](compile.md).
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## Configure Environment (Linux)
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Copy file name to clipboardexpand all lines: docs/en/quickstart/java_sdk.md
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<dependency>
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<groupId>com.4paradigm.openmldb</groupId>
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<artifactId>openmldb-jdbc</artifactId>
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<version>0.7.3</version>
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<version>0.8.0</version>
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</dependency>
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<dependency>
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<groupId>com.4paradigm.openmldb</groupId>
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<artifactId>openmldb-native</artifactId>
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<version>0.7.3</version>
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<version>0.8.0</version>
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</dependency>
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```
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### Package Installation on Mac
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<dependency>
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<groupId>com.4paradigm.openmldb</groupId>
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<artifactId>openmldb-jdbc</artifactId>
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<version>0.7.3</version>
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<version>0.8.0</version>
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</dependency>
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<dependency>
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<groupId>com.4paradigm.openmldb</groupId>
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<artifactId>openmldb-native</artifactId>
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<version>0.7.3-macos</version>
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<version>0.8.0-macos</version>
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</dependency>
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```
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Note that since `openmldb-native` contains the C++ static library compiled by OpenMLDB, by default it is a Linux's static library. On macOS, the version of the above openmldb-native needs to be changed to `0.7.3-macos`, and the version of openmldb-jdbc remains unchanged.
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Note that since `openmldb-native` contains the C++ static library compiled by OpenMLDB, by default it is a Linux's static library. On macOS, the version of the above openmldb-native needs to be changed to `0.8.0-macos`, and the version of openmldb-jdbc remains unchanged.
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The macOS native relase only supports macos-12. If you want use in macos-11 or macos 10.15, you should build openmldb-native from source in macos-11/macos-10.15, see [Build Java SDK](../deploy/compile.md#build-java-sdk-with-multi-processes) for details.
Copy file name to clipboardexpand all lines: docs/en/use_case/dolphinscheduler_task_demo.md
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The demo can run on MacOS or Linux, the OpenMLDB docker image is recommended. We'll start OpenMLDB and DolphinScheduler in the same container, expose the DolphinScheduler web port:
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```
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docker run -it -p 12345:12345 4pdosc/openmldb:0.7.3 bash
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docker run -it -p 12345:12345 4pdosc/openmldb:0.8.0 bash
Copy file name to clipboardexpand all lines: docs/en/use_case/kafka_connector_demo.md
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This article will start the OpenMLDB in docker container, so there is no need to download the OpenMLDB separately. Moreover, Kafka and connector can be started in the same container. We recommend that you save the three downloaded packages to the same directory. Let's assume that the packages are in the `/work/kafka` directory.
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```
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docker run -it -v `pwd`:/work/kafka --name openmldb 4pdosc/openmldb:0.7.3 bash
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docker run -it -v `pwd`:/work/kafka --name openmldb 4pdosc/openmldb:0.8.0 bash
Copy file name to clipboardexpand all lines: docs/en/use_case/lightgbm_demo.md
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- Pull the OpenMLDB docker image and run the corresponding container:
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```bash
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docker run -it 4pdosc/openmldb:0.7.3 bash
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docker run -it 4pdosc/openmldb:0.8.0 bash
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```
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The image is preinstalled with OpenMLDB and preset with all scripts, third-party libraries, open-source tools and training data required for this case.
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