From b685e648e4467d86ce1ad8233b9428fb50313e09 Mon Sep 17 00:00:00 2001 From: dl239 Date: Fri, 15 Sep 2023 17:25:16 +0800 Subject: [PATCH] docs: upgrade 0.8.3 (#3496) --- CHANGELOG.md | 38 ++++++++++- demo/java_quickstart/demo/pom.xml | 2 +- demo/predict-taxi-trip-duration/README.md | 4 +- .../README.md | 2 +- docs/en/deploy/compile.md | 8 +-- docs/en/deploy/install_deploy.md | 68 +++++++++---------- docs/en/quickstart/openmldb_quickstart.md | 2 +- docs/en/quickstart/sdk/java_sdk.md | 10 +-- docs/en/reference/ip_tips.md | 6 +- docs/en/use_case/JD_recommendation_en.md | 2 +- docs/en/use_case/airflow_provider_demo.md | 2 +- .../en/use_case/dolphinscheduler_task_demo.md | 2 +- docs/en/use_case/kafka_connector_demo.md | 2 +- docs/en/use_case/lightgbm_demo.md | 2 +- docs/en/use_case/pulsar_connector_demo.md | 2 +- docs/en/use_case/talkingdata_demo.md | 2 +- docs/zh/deploy/compile.md | 8 +-- docs/zh/deploy/install_deploy.md | 68 +++++++++---------- .../deploy_integration/OpenMLDB_Byzer_taxi.md | 2 +- .../airflow_provider_demo.md | 2 +- .../dolphinscheduler_task_demo.md | 2 +- .../kafka_connector_demo.md | 2 +- .../pulsar_connector_demo.md | 2 +- docs/zh/quickstart/openmldb_quickstart.md | 2 +- docs/zh/quickstart/sdk/java_sdk.md | 10 +-- docs/zh/reference/ip_tips.md | 12 ++-- docs/zh/tutorial/standalone_use.md | 2 +- docs/zh/use_case/JD_recommendation.md | 2 +- docs/zh/use_case/talkingdata_demo.md | 2 +- .../use_case/taxi_tour_duration_prediction.md | 2 +- release/conf/openmldb-env.sh | 2 +- steps/upgrade_docs_version.sh | 2 +- 32 files changed, 156 insertions(+), 120 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 8b5e0cb3fe8..96615004cee 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,40 @@ # Changelog +## [0.8.3] - 2023-09-15 + +### Features +- Optimize the performance of Java SDK (#3445 @dl239) +- Optimize the writing performance and significantly reduce the memory consumption of the Spark connector (#3443 @vagetablechicken) +- Support loading data from HIVE with customized SQLs (#3380 @tobegit3hub) +- Improve the output message for SDK and CLI (#3384 @vagetablechicken, #3434 #3494 @dl239) +- Support new built-in functions `json_array_length` and `get_json_object` (#3414 #3429 @aceforeverd) +- Add new options `RANGE_BIAS` and `ROWS_BIAS` for the `DEPLOYMENT` statement (#3456 @vagetablechicken) +- Support `const` project in online mode (#3376 @aceforeverd) +- Support `SHOW DEPLOYMENT` and `DROP DEPLOYMENT` with a database name (#3353 @emo-coder) +- Support inheriting environment variables for Spark (#3450 @vagetablechicken) +- Support deleting HDFS files when dropping tables (#3369 @tobegit3hub) +- Enhance the diagnostic tool (#3330 @zhangziheng01233) +- Enhance the operation tool (#3455 @dl239) +- Use the timeout value set by an user only if that is greater than the default value (#3484 @vagetablechicken) +- Remove the sync tool from the demo docker image (#3390 @dl239) +- Improve the documents (#3383 #3392 #3410 @vagetablechicken, #3175 #3447 ##3463 @TanZiYen, #3436 @aceforeverd, #3451 @wangerry, #3453 #3462 #3498 @dl239) + +### Bug Fixes +- `CREATE TABLE LIKE HIVE` returns success even if a database is not found (#3379 @emo-coder) +- If an error occurred when executing `DROP FUNCTION`, the function cannot be deleted again. (#3362 @vagetablechicken, #3441 @dl239) +- The results of `SHOW JOBS` are not sorted by `id` (#3371 @emo-coder) +- NameServer will crash if creating system tables fails. (#3432 @dl239) +- `CREATE INDEX` may fail if the previous `CREATE INDEX` command on the same table has not finished. (#3393 @dl239) +- The result of `SELECT` on the deleted index column is empty (#3426 @dl239) +- Other minor bug fixes (#3391 #3408 @vagetablechicken, #3386 #3427 #3459 @dl239, #3367 #3495 @aceforeverd) + +### Code Refactoring +#3397 @emo-coder, #3411 @vagetablechicken, #3435 @aceforeverd, #3473 @lqy222 + +### Breaking Changes +- The return type of `GetInternalSchema` in `SQLResultSet` changes from native Schema to `com._4paradigm.openmldb.sdk.Schema` #3445 +- Remove the deprecated TaskManager configuration `namenode.uri` #3369 + ## [0.8.2] - 2023-07-20 ### Features @@ -16,7 +51,7 @@ - The bool type is not properly packed in APIServer. (#3366 @vagetablechicken) - The table can be created successfully when there are duplicated indexs. (#3306 @dl239) -### Breaking Changes: +### Breaking Changes - The field `Offline_deep_copy` will be replaced by `Offline_symbolic_paths` in the result of `SHOW TABLE STATUS` #3349. ## [0.8.1] - 2023-06-28 @@ -618,6 +653,7 @@ Removed - openmldb-0.2.0-linux.tar.gz targets on x86_64 - aarch64 artifacts consider experimental +[0.8.3]: https://github.com/4paradigm/OpenMLDB/compare/v0.8.2...v0.8.3 [0.8.2]: https://github.com/4paradigm/OpenMLDB/compare/v0.8.1...v0.8.2 [0.8.1]: https://github.com/4paradigm/OpenMLDB/compare/v0.8.0...v0.8.1 [0.8.0]: https://github.com/4paradigm/OpenMLDB/compare/v0.7.3...v0.8.0 diff --git a/demo/java_quickstart/demo/pom.xml b/demo/java_quickstart/demo/pom.xml index 8b56bc1ce31..d69691970e7 100644 --- a/demo/java_quickstart/demo/pom.xml +++ b/demo/java_quickstart/demo/pom.xml @@ -29,7 +29,7 @@ com.4paradigm.openmldb openmldb-jdbc - 0.8.2 + 0.8.3 org.testng diff --git a/demo/predict-taxi-trip-duration/README.md b/demo/predict-taxi-trip-duration/README.md index 3a2bc6b9dee..bd44778c2a3 100644 --- a/demo/predict-taxi-trip-duration/README.md +++ b/demo/predict-taxi-trip-duration/README.md @@ -28,7 +28,7 @@ w2 as (PARTITION BY passenger_count ORDER BY pickup_datetime ROWS_RANGE BETWEEN **Start docker** ``` -docker run -it 4pdosc/openmldb:0.8.2 bash +docker run -it 4pdosc/openmldb:0.8.3 bash ``` **Initialize environment** ```bash @@ -138,7 +138,7 @@ python3 predict.py **Start docker** ```bash -docker run -it 4pdosc/openmldb:0.8.2 bash +docker run -it 4pdosc/openmldb:0.8.3 bash ``` **Initialize environment** diff --git a/demo/talkingdata-adtracking-fraud-detection/README.md b/demo/talkingdata-adtracking-fraud-detection/README.md index 46a17cb770c..5fedb578266 100644 --- a/demo/talkingdata-adtracking-fraud-detection/README.md +++ b/demo/talkingdata-adtracking-fraud-detection/README.md @@ -15,7 +15,7 @@ We recommend you to use docker to run the demo. OpenMLDB and dependencies have b **Start docker** ``` -docker run -it 4pdosc/openmldb:0.8.2 bash +docker run -it 4pdosc/openmldb:0.8.3 bash ``` #### Run locally diff --git a/docs/en/deploy/compile.md b/docs/en/deploy/compile.md index 66c7a55d1ab..a20c921b4ac 100644 --- a/docs/en/deploy/compile.md +++ b/docs/en/deploy/compile.md @@ -7,7 +7,7 @@ This section describes the steps to compile and use OpenMLDB inside its official docker image [hybridsql](https://hub.docker.com/r/4pdosc/hybridsql). 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. -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 v0.8.2](https://github.com/4paradigm/OpenMLDB/releases/tag/v0.8.2) under `hybridsql:0.8.2` ，If you prefer to compile on the latest code in `main` branch, pull `hybridsql:latest` image instead. +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 v0.8.3](https://github.com/4paradigm/OpenMLDB/releases/tag/v0.8.3) under `hybridsql:0.8.3` ，If you prefer to compile on the latest code in `main` branch, pull `hybridsql:latest` image instead. 1. Pull the docker image @@ -21,11 +21,11 @@ Keep in mind that you should always use the same version of both compile image a docker run -it 4pdosc/hybridsql:0.8 bash ``` -3. Download the OpenMLDB source code inside the docker container, and setting the branch into v0.8.2 +3. Download the OpenMLDB source code inside the docker container, and setting the branch into v0.8.3 ```bash cd ~ - git clone -b v0.8.2 https://github.com/4paradigm/OpenMLDB.git + git clone -b v0.8.3 https://github.com/4paradigm/OpenMLDB.git ``` 4. Compile OpenMLDB @@ -151,7 +151,7 @@ The built jar packages are in the `target` path of each submodule. If you want t 1. Downloading the pre-built OpenMLDB Spark distribution: ```bash -wget https://github.com/4paradigm/spark/releases/download/v3.2.1-openmldb0.8.2/spark-3.2.1-bin-openmldbspark.tgz +wget https://github.com/4paradigm/spark/releases/download/v3.2.1-openmldb0.8.3/spark-3.2.1-bin-openmldbspark.tgz ``` Alternatively, you can also download the source code and compile from scratch: diff --git a/docs/en/deploy/install_deploy.md b/docs/en/deploy/install_deploy.md index 66d1a9c987b..cdaf06a5d6a 100644 --- a/docs/en/deploy/install_deploy.md +++ b/docs/en/deploy/install_deploy.md @@ -52,17 +52,17 @@ If your operating system is not mentioned above or if you want to compile from s ### Linux Platform Compatibility pre-test -Due to the variations among Linux platforms, the distribution package may not be entirely compatible with your machine. Therefore, it's recommended to conduct a preliminary compatibility test. Download the pre-compiled package `openmldb-0.8.2-linux.tar.gz`, and execute: +Due to the variations among Linux platforms, the distribution package may not be entirely compatible with your machine. Therefore, it's recommended to conduct a preliminary compatibility test. Download the pre-compiled package `openmldb-0.8.3-linux.tar.gz`, and execute: ``` -tar -zxvf openmldb-0.8.2-linux.tar.gz -./openmldb-0.8.2-linux/bin/openmldb --version +tar -zxvf openmldb-0.8.3-linux.tar.gz +./openmldb-0.8.3-linux/bin/openmldb --version ``` The result should display the version number of the program, as shown below: ``` -openmldb version 0.8.2-xxxx +openmldb version 0.8.3-xxxx Debug build (NDEBUG not #defined) ``` @@ -177,9 +177,9 @@ DataCollector and SyncTool currently do not support one-click deployment. Please ### Download OpenMLDB ``` -wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.2/openmldb-0.8.2-linux.tar.gz -tar -zxvf openmldb-0.8.2-linux.tar.gz -cd openmldb-0.8.2-linux +wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.3/openmldb-0.8.3-linux.tar.gz +tar -zxvf openmldb-0.8.3-linux.tar.gz +cd openmldb-0.8.3-linux ``` ### Environment Configuration @@ -188,7 +188,7 @@ The environment variables are defined in `conf/openmldb-env.sh`, as shown in the | Environment Variable | Default Value | Note | | --------------------------------- | ------------------------------------------------------- | ------------------------------------------------------------ | -| OPENMLDB_VERSION | 0.8.2 | OpenMLDB version | +| OPENMLDB_VERSION | 0.8.3 | OpenMLDB version | | OPENMLDB_MODE | standalone | standalone or cluster | | OPENMLDB_HOME | root directory of the release folder | openmldb root directory | | SPARK_HOME | $OPENMLDB_HOME/spark | openmldb spark root directory，If the directory does not exist, it will be downloaded automatically.| @@ -361,10 +361,10 @@ Note that at least two TabletServer need to be deployed, otherwise errors may oc **1. Download the OpenMLDB deployment package** ``` -wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.2/openmldb-0.8.2-linux.tar.gz -tar -zxvf openmldb-0.8.2-linux.tar.gz -mv openmldb-0.8.2-linux openmldb-tablet-0.8.2 -cd openmldb-tablet-0.8.2 +wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.3/openmldb-0.8.3-linux.tar.gz +tar -zxvf openmldb-0.8.3-linux.tar.gz +mv openmldb-0.8.3-linux openmldb-tablet-0.8.3 +cd openmldb-tablet-0.8.3 ``` **2. Modify the configuration file `conf/tablet.flags`** @@ -427,12 +427,12 @@ For clustered versions, the number of TabletServers must be 2 or more. If there' To start the next TabletServer on a different machine, simply repeat the aforementioned steps on that machine. If starting the next TabletServer on the same machine, ensure it's in a different directory, and do not reuse a directory where the TabletServer is already running. -For instance, you can decompress the package again (avoid using a directory where TabletServer is already running, as files generated after startup may be affected), and name the directory `openmldb-tablet-0.8.2-2`. +For instance, you can decompress the package again (avoid using a directory where TabletServer is already running, as files generated after startup may be affected), and name the directory `openmldb-tablet-0.8.3-2`. ``` -tar -zxvf openmldb-0.8.2-linux.tar.gz -mv openmldb-0.8.2-linux openmldb-tablet-0.8.2-2 -cd openmldb-tablet-0.8.2-2 +tar -zxvf openmldb-0.8.3-linux.tar.gz +mv openmldb-0.8.3-linux openmldb-tablet-0.8.3-2 +cd openmldb-tablet-0.8.3-2 ``` Modify the configuration again and start the TabletServer. Note that if all TabletServers are on the same machine, use different port numbers to avoid "Fail to listen" error in the log (`logs/tablet.WARNING`). @@ -450,10 +450,10 @@ Please ensure that all TabletServer have been successfully started before deploy **1. Download the OpenMLDB deployment package** ```` -wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.2/openmldb-0.8.2-linux.tar.gz -tar -zxvf openmldb-0.8.2-linux.tar.gz -mv openmldb-0.8.2-linux openmldb-ns-0.8.2 -cd openmldb-ns-0.8.2 +wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.3/openmldb-0.8.3-linux.tar.gz +tar -zxvf openmldb-0.8.3-linux.tar.gz +mv openmldb-0.8.3-linux openmldb-ns-0.8.3 +cd openmldb-ns-0.8.3 ```` **2. Modify the configuration file conf/nameserver.flags** @@ -498,12 +498,12 @@ You can have only one NameServer, but if you need high availability, you can dep To start the next NameServer on another machine, simply repeat the above steps on that machine. If starting the next NameServer on the same machine, ensure it's in a different directory and do not reuse the directory where NameServer has already been started. -For instance, you can decompress the package again (avoid using the directory where NameServer is already running, as files generated after startup may be affected) and name the directory `openmldb-ns-0.8.2-2`. +For instance, you can decompress the package again (avoid using the directory where NameServer is already running, as files generated after startup may be affected) and name the directory `openmldb-ns-0.8.3-2`. ``` -tar -zxvf openmldb-0.8.2-linux.tar.gz -mv openmldb-0.8.2-linux openmldb-ns-0.8.2-2 -cd openmldb-ns-0.8.2-2 +tar -zxvf openmldb-0.8.3-linux.tar.gz +mv openmldb-0.8.3-linux openmldb-ns-0.8.3-2 +cd openmldb-ns-0.8.3-2 ``` Then modify the configuration and start. @@ -544,10 +544,10 @@ Before running APIServer, ensure that the TabletServer and NameServer processes **1. Download the OpenMLDB deployment package** ``` -wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.2/openmldb-0.8.2-linux.tar.gz -tar -zxvf openmldb-0.8.2-linux.tar.gz -mv openmldb-0.8.2-linux openmldb-apiserver-0.8.2 -cd openmldb-apiserver-0.8.2 +wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.3/openmldb-0.8.3-linux.tar.gz +tar -zxvf openmldb-0.8.3-linux.tar.gz +mv openmldb-0.8.3-linux openmldb-apiserver-0.8.3 +cd openmldb-apiserver-0.8.3 ``` **2. Modify the configuration file conf/apiserver.flags** @@ -607,18 +607,18 @@ You can have only one TaskManager, but if you require high availability, you can Spark distribution： ```shell -wget https://github.com/4paradigm/spark/releases/download/v3.2.1-openmldb0.8.2/spark-3.2.1-bin-openmldbspark.tgz -# Image address (China)：http://43.138.115.238/download/v0.8.2/spark-3.2.1-bin-openmldbspark.tgz +wget https://github.com/4paradigm/spark/releases/download/v3.2.1-openmldb0.8.3/spark-3.2.1-bin-openmldbspark.tgz +# Image address (China)：http://43.138.115.238/download/v0.8.3/spark-3.2.1-bin-openmldbspark.tgz tar -zxvf spark-3.2.1-bin-openmldbspark.tgz export SPARK_HOME=`pwd`/spark-3.2.1-bin-openmldbspark/ ``` OpenMLDB deployment package： ``` -wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.2/openmldb-0.8.2-linux.tar.gz -tar -zxvf openmldb-0.8.2-linux.tar.gz -mv openmldb-0.8.2-linux openmldb-taskmanager-0.8.2 -cd openmldb-taskmanager-0.8.2 +wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.3/openmldb-0.8.3-linux.tar.gz +tar -zxvf openmldb-0.8.3-linux.tar.gz +mv openmldb-0.8.3-linux openmldb-taskmanager-0.8.3 +cd openmldb-taskmanager-0.8.3 ``` **2. Modify the configuration file conf/taskmanager.properties** diff --git a/docs/en/quickstart/openmldb_quickstart.md b/docs/en/quickstart/openmldb_quickstart.md index 944778abec4..57c3c0d2e75 100644 --- a/docs/en/quickstart/openmldb_quickstart.md +++ b/docs/en/quickstart/openmldb_quickstart.md @@ -19,7 +19,7 @@ This article is developed and deployed based on OpenMLDB CLI, and it is necessar Execute the following command in the command line to pull the OpenMLDB image and start the Docker container: ```bash -docker run -it 4pdosc/openmldb:0.8.2 bash +docker run -it 4pdosc/openmldb:0.8.3 bash ``` ``` {note} diff --git a/docs/en/quickstart/sdk/java_sdk.md b/docs/en/quickstart/sdk/java_sdk.md index 629c715d5e6..a74f4c98f3c 100644 --- a/docs/en/quickstart/sdk/java_sdk.md +++ b/docs/en/quickstart/sdk/java_sdk.md @@ -10,12 +10,12 @@ com.4paradigm.openmldb openmldb-jdbc - 0.7.2 + 0.8.3 com.4paradigm.openmldb openmldb-native - 0.7.2 + 0.8.3 ``` @@ -27,16 +27,16 @@ com.4paradigm.openmldb openmldb-jdbc - 0.7.2 + 0.8.3 com.4paradigm.openmldb openmldb-native - 0.7.2-macos + 0.8.3-macos ``` -Note: Since the openmldb-native package contains the C++ static library compiled for OpenMLDB, it is defaults to the Linux static library. For macOS, the version of openmldb-native should be changed to `0.7.2-macos`, while the version of openmldb-jdbc should remain unchanged. +Note: Since the openmldb-native package contains the C++ static library compiled for OpenMLDB, it is defaults to the Linux static library. For macOS, the version of openmldb-native should be changed to `0.8.3-macos`, while the version of openmldb-jdbc should remain unchanged. The macOS version of openmldb-native only supports macOS 12. To run it on macOS 11 or macOS 10.15, the openmldb-native package needs to be compiled from source code on the corresponding OS. For detailed compilation methods, please refer to [Concurrent Compilation of Java SDK](https://openmldb.ai/docs/zh/main/deploy/compile.html#java-sdk). diff --git a/docs/en/reference/ip_tips.md b/docs/en/reference/ip_tips.md index e8a7001792f..2fc5b1c8805 100644 --- a/docs/en/reference/ip_tips.md +++ b/docs/en/reference/ip_tips.md @@ -38,12 +38,12 @@ Expose the port through `-p` when starting the container, and the client can acc The stand-alone version needs to expose the ports of three components (nameserver, tabletserver, apiserver): ``` -docker run -p 6527:6527 -p 9921:9921 -p 8080:8080 -it 4pdosc/openmldb:0.8.2 bash +docker run -p 6527:6527 -p 9921:9921 -p 8080:8080 -it 4pdosc/openmldb:0.8.3 bash ``` The cluster version needs to expose the zk port and the ports of all components: ``` -docker run -p 2181:2181 -p 7527:7527 -p 10921:10921 -p 10922:10922 -p 8080:8080 -p 9902:9902 -it 4pdosc/openmldb:0.8.2 bash +docker run -p 2181:2181 -p 7527:7527 -p 10921:10921 -p 10922:10922 -p 8080:8080 -p 9902:9902 -it 4pdosc/openmldb:0.8.3 bash ``` ```{tip} @@ -57,7 +57,7 @@ If the OpenMLDB service process is distributed, the "port number is occupied" ap #### Host Network Or more conveniently, use host networking without port isolation, for example: ``` -docker run --network host -it 4pdosc/openmldb:0.8.2 bash +docker run --network host -it 4pdosc/openmldb:0.8.3 bash ``` But in this case, it is easy to find that the port is occupied by other processes in the host. If occupancy occurs, change the port number carefully. diff --git a/docs/en/use_case/JD_recommendation_en.md b/docs/en/use_case/JD_recommendation_en.md index 219026010e7..3a3a7df6f0a 100644 --- a/docs/en/use_case/JD_recommendation_en.md +++ b/docs/en/use_case/JD_recommendation_en.md @@ -52,7 +52,7 @@ Oneflow-serving：https://github.com/Oneflow-Inc/serving/tree/ce5d667468b6b3ba66 Pull the OpenMLDB docker image and run. ```bash -docker run -dit --name=openmldb --network=host -v $demodir:/work/oneflow_demo 4pdosc/openmldb:0.8.2 bash +docker run -dit --name=openmldb --network=host -v $demodir:/work/oneflow_demo 4pdosc/openmldb:0.8.3 bash docker exec -it openmldb bash ``` diff --git a/docs/en/use_case/airflow_provider_demo.md b/docs/en/use_case/airflow_provider_demo.md index 2e5b59efd34..bf430b7cce2 100644 --- a/docs/en/use_case/airflow_provider_demo.md +++ b/docs/en/use_case/airflow_provider_demo.md @@ -34,7 +34,7 @@ For the newest version, please visit [GitHub example_dags](https://github.com/4p - Please project the previously downloaded files to the path `/work/airflow/dags`, where Airflow will access for the DAG. ``` -docker run -p 8080:8080 -v `pwd`/airflow_demo_files:/work/airflow/dags -it 4pdosc/openmldb:0.8.2 bash +docker run -p 8080:8080 -v `pwd`/airflow_demo_files:/work/airflow/dags -it 4pdosc/openmldb:0.8.3 bash ``` #### 0.3 Download and Install the Airflow and the Airflow OpenMLDB Provider diff --git a/docs/en/use_case/dolphinscheduler_task_demo.md b/docs/en/use_case/dolphinscheduler_task_demo.md index c3666b6c8aa..8f3d9b51e97 100644 --- a/docs/en/use_case/dolphinscheduler_task_demo.md +++ b/docs/en/use_case/dolphinscheduler_task_demo.md @@ -33,7 +33,7 @@ In addition to the feature engineering done by OpenMLDB, the prediction also req 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: ``` -docker run -it -p 12345:12345 4pdosc/openmldb:0.8.2 bash +docker run -it -p 12345:12345 4pdosc/openmldb:0.8.3 bash ``` ```{attention} diff --git a/docs/en/use_case/kafka_connector_demo.md b/docs/en/use_case/kafka_connector_demo.md index b088d24d085..be6c17e9fae 100644 --- a/docs/en/use_case/kafka_connector_demo.md +++ b/docs/en/use_case/kafka_connector_demo.md @@ -22,7 +22,7 @@ For OpenMLDB Kafka Connector implementation, please refer to [extensions/kafka-c 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. ``` -docker run -it -v `pwd`:/work/kafka --name openmldb 4pdosc/openmldb:0.8.2 bash +docker run -it -v `pwd`:/work/kafka --name openmldb 4pdosc/openmldb:0.8.3 bash ``` ### Steps diff --git a/docs/en/use_case/lightgbm_demo.md b/docs/en/use_case/lightgbm_demo.md index 28132af3829..f4e602373a6 100644 --- a/docs/en/use_case/lightgbm_demo.md +++ b/docs/en/use_case/lightgbm_demo.md @@ -13,7 +13,7 @@ Note that: (1) this case is based on the OpenMLDB cluster version for tutorial d - Pull the OpenMLDB docker image and run the corresponding container: ```bash -docker run -it 4pdosc/openmldb:0.8.2 bash +docker run -it 4pdosc/openmldb:0.8.3 bash ``` The image is preinstalled with OpenMLDB and preset with all scripts, third-party libraries, open-source tools and training data required for this case. diff --git a/docs/en/use_case/pulsar_connector_demo.md b/docs/en/use_case/pulsar_connector_demo.md index 161bee81eb8..194195da3fd 100644 --- a/docs/en/use_case/pulsar_connector_demo.md +++ b/docs/en/use_case/pulsar_connector_demo.md @@ -29,7 +29,7 @@ Only OpenMLDB cluster mode can be the sink dist, and only write to online storag We recommend that you use ‘host network’ to run docker. And bind volume ‘files’ too. The sql scripts are in it. ``` -docker run -dit --network host -v `pwd`/files:/work/pulsar_files --name openmldb 4pdosc/openmldb:0.8.2 bash +docker run -dit --network host -v `pwd`/files:/work/pulsar_files --name openmldb 4pdosc/openmldb:0.8.3 bash docker exec -it openmldb bash ``` ```{note} diff --git a/docs/en/use_case/talkingdata_demo.md b/docs/en/use_case/talkingdata_demo.md index 42408324a15..4c0370d375f 100644 --- a/docs/en/use_case/talkingdata_demo.md +++ b/docs/en/use_case/talkingdata_demo.md @@ -13,7 +13,7 @@ It is recommended to run this demo in Docker. Please make sure that OpenMLDB and **Start the OpenMLDB Docker Image** ``` -docker run -it 4pdosc/openmldb:0.8.2 bash +docker run -it 4pdosc/openmldb:0.8.3 bash ``` #### 1.1.2 Run Locally diff --git a/docs/zh/deploy/compile.md b/docs/zh/deploy/compile.md index c717f784ac4..aec38f6a5a3 100644 --- a/docs/zh/deploy/compile.md +++ b/docs/zh/deploy/compile.md @@ -4,7 +4,7 @@ 此节介绍在官方编译镜像 [hybridsql](https://hub.docker.com/r/4pdosc/hybridsql) 中编译 OpenMLDB，主要可以用于在容器内试用和开发目的。镜像内置了编译所需要的工具和依赖，因此不需要额外的步骤单独配置它们。关于基于非 docker 的编译使用方式，请参照下面的 [从源码全量编译](#从源码全量编译) 章节。 -对于编译镜像的版本，需要注意拉取的镜像版本和 [OpenMLDB 发布版本](https://github.com/4paradigm/OpenMLDB/releases)保持一致。以下例子演示了在 `hybridsql:0.8.2` 镜像版本上编译 [OpenMLDB v0.8.2](https://github.com/4paradigm/OpenMLDB/releases/tag/v0.8.2) 的代码，如果要编译最新 `main` 分支的代码，则需要拉取 `hybridsql:latest` 版本镜像。 +对于编译镜像的版本，需要注意拉取的镜像版本和 [OpenMLDB 发布版本](https://github.com/4paradigm/OpenMLDB/releases)保持一致。以下例子演示了在 `hybridsql:0.8.3` 镜像版本上编译 [OpenMLDB v0.8.3](https://github.com/4paradigm/OpenMLDB/releases/tag/v0.8.3) 的代码，如果要编译最新 `main` 分支的代码，则需要拉取 `hybridsql:latest` 版本镜像。 1. 下载 docker 镜像 ```bash @@ -16,10 +16,10 @@ docker run -it 4pdosc/hybridsql:0.8 bash ``` -3. 在 docker 容器内, 克隆 OpenMLDB, 并切换分支到 v0.8.2 +3. 在 docker 容器内, 克隆 OpenMLDB, 并切换分支到 v0.8.3 ```bash cd ~ - git clone -b v0.8.2 https://github.com/4paradigm/OpenMLDB.git + git clone -b v0.8.3 https://github.com/4paradigm/OpenMLDB.git ``` 4. 在 docker 容器内编译 OpenMLDB @@ -141,7 +141,7 @@ make SQL_JAVASDK_ENABLE=ON NPROC=4 1. 下载预编译的OpenMLDB Spark发行版。 ```bash -wget https://github.com/4paradigm/spark/releases/download/v3.2.1-openmldb0.8.2/spark-3.2.1-bin-openmldbspark.tgz +wget https://github.com/4paradigm/spark/releases/download/v3.2.1-openmldb0.8.3/spark-3.2.1-bin-openmldbspark.tgz ``` 或者下载源代码并从头开始编译。 diff --git a/docs/zh/deploy/install_deploy.md b/docs/zh/deploy/install_deploy.md index aa730c6189d..d060cce3b01 100644 --- a/docs/zh/deploy/install_deploy.md +++ b/docs/zh/deploy/install_deploy.md @@ -47,17 +47,17 @@ strings /lib64/libc.so.6 | grep ^GLIBC_ ### Linux 平台预测试 -由于 Linux 平台的多样性，发布包可能在你的机器上不兼容，请先通过简单的运行测试。比如，下载预编译包 `openmldb-0.8.2-linux.tar.gz` 以后，运行： +由于 Linux 平台的多样性，发布包可能在你的机器上不兼容，请先通过简单的运行测试。比如，下载预编译包 `openmldb-0.8.3-linux.tar.gz` 以后，运行： ``` -tar -zxvf openmldb-0.8.2-linux.tar.gz -./openmldb-0.8.2-linux/bin/openmldb --version +tar -zxvf openmldb-0.8.3-linux.tar.gz +./openmldb-0.8.3-linux/bin/openmldb --version ``` 结果应显示该程序的版本号，类似 ``` -openmldb version 0.8.2-xxxx +openmldb version 0.8.3-xxxx Debug build (NDEBUG not #defined) ``` @@ -171,9 +171,9 @@ DataCollector和SyncTool暂不支持一键部署。请参考手动部署方式 ### 下载OpenMLDB发行版 ``` -wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.2/openmldb-0.8.2-linux.tar.gz -tar -zxvf openmldb-0.8.2-linux.tar.gz -cd openmldb-0.8.2-linux +wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.3/openmldb-0.8.3-linux.tar.gz +tar -zxvf openmldb-0.8.3-linux.tar.gz +cd openmldb-0.8.3-linux ``` ### 环境配置 @@ -181,7 +181,7 @@ cd openmldb-0.8.2-linux | 环境变量 | 默认值 | 定义 | |-----------------------------------|------------------------------------|-------------------------------------------------------------------------| -| OPENMLDB_VERSION | 0.8.2 | OpenMLDB版本 | +| OPENMLDB_VERSION | 0.8.3 | OpenMLDB版本 | | OPENMLDB_MODE | standalone | standalone或者cluster | | OPENMLDB_HOME | 当前发行版的根目录 | openmldb发行版根目录 | | SPARK_HOME | $OPENMLDB_HOME/spark | openmldb spark发行版根目录，如果该目录不存在，自动从网上下载 | @@ -348,10 +348,10 @@ bash bin/zkCli.sh -server 172.27.128.33:7181 **1. 下载OpenMLDB部署包** ``` -wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.2/openmldb-0.8.2-linux.tar.gz -tar -zxvf openmldb-0.8.2-linux.tar.gz -mv openmldb-0.8.2-linux openmldb-tablet-0.8.2 -cd openmldb-tablet-0.8.2 +wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.3/openmldb-0.8.3-linux.tar.gz +tar -zxvf openmldb-0.8.3-linux.tar.gz +mv openmldb-0.8.3-linux openmldb-tablet-0.8.3 +cd openmldb-tablet-0.8.3 ``` **2. 修改配置文件`conf/tablet.flags`** ```bash @@ -402,12 +402,12 @@ Start tablet success 在另一台机器启动下一个TabletServer只需在该机器上重复以上步骤。如果是在同一个机器上启动下一个TabletServer，请保证是在另一个目录中，不要重复使用已经启动过TabletServer的目录。 -比如，可以再次解压压缩包（不要cp已经启动过TabletServer的目录，启动后的生成文件会造成影响），并命名目录为`openmldb-tablet-0.8.2-2`。 +比如，可以再次解压压缩包（不要cp已经启动过TabletServer的目录，启动后的生成文件会造成影响），并命名目录为`openmldb-tablet-0.8.3-2`。 ``` -tar -zxvf openmldb-0.8.2-linux.tar.gz -mv openmldb-0.8.2-linux openmldb-tablet-0.8.2-2 -cd openmldb-tablet-0.8.2-2 +tar -zxvf openmldb-0.8.3-linux.tar.gz +mv openmldb-0.8.3-linux openmldb-tablet-0.8.3-2 +cd openmldb-tablet-0.8.3-2 ``` 再修改配置并启动。注意，TabletServer如果都在同一台机器上，请使用不同端口号，否则日志(logs/tablet.WARNING)中将会有"Fail to listen"信息。 @@ -421,10 +421,10 @@ cd openmldb-tablet-0.8.2-2 ``` **1. 下载OpenMLDB部署包** ```` -wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.2/openmldb-0.8.2-linux.tar.gz -tar -zxvf openmldb-0.8.2-linux.tar.gz -mv openmldb-0.8.2-linux openmldb-ns-0.8.2 -cd openmldb-ns-0.8.2 +wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.3/openmldb-0.8.3-linux.tar.gz +tar -zxvf openmldb-0.8.3-linux.tar.gz +mv openmldb-0.8.3-linux openmldb-ns-0.8.3 +cd openmldb-ns-0.8.3 ```` **2. 修改配置文件conf/nameserver.flags** ```bash @@ -462,12 +462,12 @@ NameServer 可以只存在一台，如果你需要高可用性，可以部署多 在另一台机器启动下一个 NameServer 只需在该机器上重复以上步骤。如果是在同一个机器上启动下一个 NameServer，请保证是在另一个目录中，不要重复使用已经启动过 namserver 的目录。 -比如，可以再次解压压缩包（不要cp已经启动过 namserver 的目录，启动后的生成文件会造成影响），并命名目录为`openmldb-ns-0.8.2-2`。 +比如，可以再次解压压缩包（不要cp已经启动过 namserver 的目录，启动后的生成文件会造成影响），并命名目录为`openmldb-ns-0.8.3-2`。 ``` -tar -zxvf openmldb-0.8.2-linux.tar.gz -mv openmldb-0.8.2-linux openmldb-ns-0.8.2-2 -cd openmldb-ns-0.8.2-2 +tar -zxvf openmldb-0.8.3-linux.tar.gz +mv openmldb-0.8.3-linux openmldb-ns-0.8.3-2 +cd openmldb-ns-0.8.3-2 ``` 然后再修改配置并启动。 @@ -505,10 +505,10 @@ APIServer负责接收http请求，转发给OpenMLDB集群并返回结果。它 **1. 下载OpenMLDB部署包** ``` -wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.2/openmldb-0.8.2-linux.tar.gz -tar -zxvf openmldb-0.8.2-linux.tar.gz -mv openmldb-0.8.2-linux openmldb-apiserver-0.8.2 -cd openmldb-apiserver-0.8.2 +wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.3/openmldb-0.8.3-linux.tar.gz +tar -zxvf openmldb-0.8.3-linux.tar.gz +mv openmldb-0.8.3-linux openmldb-apiserver-0.8.3 +cd openmldb-apiserver-0.8.3 ``` **2. 修改配置文件conf/apiserver.flags** @@ -563,18 +563,18 @@ TaskManager 可以只存在一台，如果你需要高可用性，可以部署 Spark发行版： ```shell -wget https://github.com/4paradigm/spark/releases/download/v3.2.1-openmldb0.8.2/spark-3.2.1-bin-openmldbspark.tgz -# 中国镜像地址：http://43.138.115.238/download/v0.8.2/spark-3.2.1-bin-openmldbspark.tgz +wget https://github.com/4paradigm/spark/releases/download/v3.2.1-openmldb0.8.3/spark-3.2.1-bin-openmldbspark.tgz +# 中国镜像地址：http://43.138.115.238/download/v0.8.3/spark-3.2.1-bin-openmldbspark.tgz tar -zxvf spark-3.2.1-bin-openmldbspark.tgz export SPARK_HOME=`pwd`/spark-3.2.1-bin-openmldbspark/ ``` OpenMLDB部署包： ``` -wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.2/openmldb-0.8.2-linux.tar.gz -tar -zxvf openmldb-0.8.2-linux.tar.gz -mv openmldb-0.8.2-linux openmldb-taskmanager-0.8.2 -cd openmldb-taskmanager-0.8.2 +wget https://github.com/4paradigm/OpenMLDB/releases/download/v0.8.3/openmldb-0.8.3-linux.tar.gz +tar -zxvf openmldb-0.8.3-linux.tar.gz +mv openmldb-0.8.3-linux openmldb-taskmanager-0.8.3 +cd openmldb-taskmanager-0.8.3 ``` **2. 修改配置文件conf/taskmanager.properties** diff --git a/docs/zh/integration/deploy_integration/OpenMLDB_Byzer_taxi.md b/docs/zh/integration/deploy_integration/OpenMLDB_Byzer_taxi.md index 1d43938f04e..926c079469d 100644 --- a/docs/zh/integration/deploy_integration/OpenMLDB_Byzer_taxi.md +++ b/docs/zh/integration/deploy_integration/OpenMLDB_Byzer_taxi.md @@ -13,7 +13,7 @@ 执行命令如下： ``` -docker run --network host -dit --name openmldb -v /mlsql/admin/:/byzermnt 4pdosc/openmldb:0.8.2 bash +docker run --network host -dit --name openmldb -v /mlsql/admin/:/byzermnt 4pdosc/openmldb:0.8.3 bash docker exec -it openmldb bash /work/init.sh echo "create database db1;" | /work/openmldb/bin/openmldb --zk_cluster=127.0.0.1:2181 --zk_root_path=/openmldb --role=sql_client diff --git a/docs/zh/integration/deploy_integration/airflow_provider_demo.md b/docs/zh/integration/deploy_integration/airflow_provider_demo.md index ee812d5e428..5e8a77df979 100644 --- a/docs/zh/integration/deploy_integration/airflow_provider_demo.md +++ b/docs/zh/integration/deploy_integration/airflow_provider_demo.md @@ -35,7 +35,7 @@ ls airflow_demo_files 登录Airflow Web需要对外端口，所以此处暴露容器的端口。并且直接将上一步下载的文件映射到`/work/airflow/dags`，接下来Airflow将加载此文件夹的DAG。 ``` -docker run -p 8080:8080 -v `pwd`/airflow_demo_files:/work/airflow_demo_files -it 4pdosc/openmldb:0.8.2 bash +docker run -p 8080:8080 -v `pwd`/airflow_demo_files:/work/airflow_demo_files -it 4pdosc/openmldb:0.8.3 bash ``` #### 0.3 下载安装Airflow与Airflow OpenMLDB Provider diff --git a/docs/zh/integration/deploy_integration/dolphinscheduler_task_demo.md b/docs/zh/integration/deploy_integration/dolphinscheduler_task_demo.md index ac869925505..da484e5dad7 100644 --- a/docs/zh/integration/deploy_integration/dolphinscheduler_task_demo.md +++ b/docs/zh/integration/deploy_integration/dolphinscheduler_task_demo.md @@ -31,7 +31,7 @@ OpenMLDB 希望能达成开发即上线的目标，让开发回归本质，而 测试可以在macOS或Linux上运行，推荐在我们提供的 OpenMLDB 镜像内进行演示测试。我们将在这个容器中启动OpenMLDB和DolphinScheduler，暴露DolphinScheduler的web端口： ``` -docker run -it -p 12345:12345 4pdosc/openmldb:0.8.2 bash +docker run -it -p 12345:12345 4pdosc/openmldb:0.8.3 bash ``` ```{attention} DolphinScheduler 需要配置租户，是操作系统的用户，并且该用户需要有 sudo 权限。所以推荐在 OpenMLDB 容器内下载并启动 DolphinScheduler。否则，请准备有sudo权限的操作系统用户。 diff --git a/docs/zh/integration/online_datasources/kafka_connector_demo.md b/docs/zh/integration/online_datasources/kafka_connector_demo.md index e0cbdba9d6e..7dffd7be109 100644 --- a/docs/zh/integration/online_datasources/kafka_connector_demo.md +++ b/docs/zh/integration/online_datasources/kafka_connector_demo.md @@ -21,7 +21,7 @@ OpenMLDB Kafka Connector实现见[extensions/kafka-connect-jdbc](https://github. 我们推荐你将下载的三个文件包都绑定到文件目录`kafka`。当然，也可以在启动容器后，再进行文件包的下载。我们假设文件包都在`/work/kafka`目录中。 ``` -docker run -it -v `pwd`:/work/kafka 4pdosc/openmldb:0.8.2 bash +docker run -it -v `pwd`:/work/kafka 4pdosc/openmldb:0.8.3 bash ``` ### 注意事项 diff --git a/docs/zh/integration/online_datasources/pulsar_connector_demo.md b/docs/zh/integration/online_datasources/pulsar_connector_demo.md index 267e16614f4..7277f039ee9 100644 --- a/docs/zh/integration/online_datasources/pulsar_connector_demo.md +++ b/docs/zh/integration/online_datasources/pulsar_connector_demo.md @@ -35,7 +35,7 @@ Apache Pulsar是一个云原生的，分布式消息流平台。它可以作为O ``` 我们更推荐你使用‘host network’模式运行docker，以及绑定文件目录‘files’，sql脚本在该目录中。 ``` -docker run -dit --network host -v `pwd`/files:/work/pulsar_files --name openmldb 4pdosc/openmldb:0.8.2 bash +docker run -dit --network host -v `pwd`/files:/work/pulsar_files --name openmldb 4pdosc/openmldb:0.8.3 bash docker exec -it openmldb bash ``` diff --git a/docs/zh/quickstart/openmldb_quickstart.md b/docs/zh/quickstart/openmldb_quickstart.md index 3d252f1fc3b..6a0191b09f1 100644 --- a/docs/zh/quickstart/openmldb_quickstart.md +++ b/docs/zh/quickstart/openmldb_quickstart.md @@ -19,7 +19,7 @@ OpenMLDB 的主要使用场景为作为机器学习的实时特征平台。其 在命令行执行以下命令拉取 OpenMLDB 镜像，并启动 Docker 容器： ```bash -docker run -it 4pdosc/openmldb:0.8.2 bash +docker run -it 4pdosc/openmldb:0.8.3 bash ``` ```{note} diff --git a/docs/zh/quickstart/sdk/java_sdk.md b/docs/zh/quickstart/sdk/java_sdk.md index 3f8534518b4..966d50db785 100644 --- a/docs/zh/quickstart/sdk/java_sdk.md +++ b/docs/zh/quickstart/sdk/java_sdk.md @@ -12,12 +12,12 @@ Java SDK中，JDBC Statement的默认执行模式为在线，SqlClusterExecutor com.4paradigm.openmldb openmldb-jdbc - 0.8.2 + 0.8.3 com.4paradigm.openmldb openmldb-native - 0.8.2 + 0.8.3 ``` @@ -29,16 +29,16 @@ Java SDK中，JDBC Statement的默认执行模式为在线，SqlClusterExecutor com.4paradigm.openmldb openmldb-jdbc - 0.8.2 + 0.8.3 com.4paradigm.openmldb openmldb-native - 0.8.2-macos + 0.8.3-macos ``` -注意：由于 openmldb-native 中包含了 OpenMLDB 编译的 C++ 静态库，默认是 Linux 静态库，macOS 上需将上述 openmldb-native 的 version 改成 `0.8.2-macos`，openmldb-jdbc 的版本保持不变。 +注意：由于 openmldb-native 中包含了 OpenMLDB 编译的 C++ 静态库，默认是 Linux 静态库，macOS 上需将上述 openmldb-native 的 version 改成 `0.8.3-macos`，openmldb-jdbc 的版本保持不变。 openmldb-native 的 macOS 版本只支持 macOS 12，如需在 macOS 11 或 macOS 10.15上运行，需在相应 OS 上源码编译 openmldb-native 包，详细编译方法见[并发编译 Java SDK](https://openmldb.ai/docs/zh/main/deploy/compile.html#java-sdk)。使用自编译的 openmldb-native 包，推荐使用`mvn install`安装到本地仓库，然后在 pom 中引用本地仓库的 openmldb-native 包，不建议用`scope=system`的方式引用。 diff --git a/docs/zh/reference/ip_tips.md b/docs/zh/reference/ip_tips.md index 846bd520088..fad3d3e0944 100644 --- a/docs/zh/reference/ip_tips.md +++ b/docs/zh/reference/ip_tips.md @@ -52,15 +52,15 @@ curl http:///dbs/foo -X POST -d'{"mode":"online", "sql":"show component - 暴露端口，也需要修改apiserver的endpoint改为`0.0.0.0`。这样可以使用127.0.0.1或是公网ip访问到 APIServer。 单机版： ``` - docker run -p 8080:8080 -it 4pdosc/openmldb:0.8.2 bash + docker run -p 8080:8080 -it 4pdosc/openmldb:0.8.3 bash ``` 集群版： ``` - docker run -p 9080:9080 -it 4pdosc/openmldb:0.8.2 bash + docker run -p 9080:9080 -it 4pdosc/openmldb:0.8.3 bash ``` - 使用host网络，可以不用修改endpoint配置。缺点是容易引起端口冲突。 ``` - docker run --network host -it 4pdosc/openmldb:0.8.2 bash + docker run --network host -it 4pdosc/openmldb:0.8.3 bash ``` 如果是跨主机访问容器 onebox 中的 APIServer，可以**任选一种**下面的方式： @@ -126,17 +126,17 @@ cd /work/openmldb/conf/ && ls | grep -v _ | xargs sed -i s/0.0.0.0//g && cd 单机版需要暴露三个组件（nameserver，tabletserver，APIServer）的端口： ``` -docker run -p 6527:6527 -p 9921:9921 -p 8080:8080 -it 4pdosc/openmldb:0.8.2 bash +docker run -p 6527:6527 -p 9921:9921 -p 8080:8080 -it 4pdosc/openmldb:0.8.3 bash ``` 集群版需要暴露zk端口与所有组件的端口： ``` -docker run -p 2181:2181 -p 7527:7527 -p 10921:10921 -p 10922:10922 -p 8080:8080 -p 9902:9902 -it 4pdosc/openmldb:0.8.2 bash +docker run -p 2181:2181 -p 7527:7527 -p 10921:10921 -p 10922:10922 -p 8080:8080 -p 9902:9902 -it 4pdosc/openmldb:0.8.3 bash ``` - 使用host网络，可以不用修改 endpoint 配置。如果有端口冲突，请修改 server 的端口配置。 ``` -docker run --network host -it 4pdosc/openmldb:0.8.2 bash +docker run --network host -it 4pdosc/openmldb:0.8.3 bash ``` 如果是跨主机使用 CLI/SDK 访问问容器onebox，只能通过`--network host`，并更改所有endpoint为公网IP，才能顺利访问。 diff --git a/docs/zh/tutorial/standalone_use.md b/docs/zh/tutorial/standalone_use.md index 4cc7eee9bea..df27c8307de 100644 --- a/docs/zh/tutorial/standalone_use.md +++ b/docs/zh/tutorial/standalone_use.md @@ -11,7 +11,7 @@ 执行以下命令拉取 OpenMLDB 镜像，并启动 Docker 容器： ```bash -docker run -it 4pdosc/openmldb:0.8.2 bash +docker run -it 4pdosc/openmldb:0.8.3 bash ``` 成功启动容器以后，本教程中的后续命令默认均在容器内执行。 diff --git a/docs/zh/use_case/JD_recommendation.md b/docs/zh/use_case/JD_recommendation.md index 143666d58ec..d4035be912a 100644 --- a/docs/zh/use_case/JD_recommendation.md +++ b/docs/zh/use_case/JD_recommendation.md @@ -74,7 +74,7 @@ docker pull oneflowinc/oneflow-serving:nightly 由于 OpenMLDB 集群需要和其他组件网络通信，我们直接使用 host 网络。本例将在容器中使用已下载的脚本，所以请将数据脚本所在目录 `demodir` 映射为容器中的目录： ```bash -docker run -dit --name=openmldb --network=host -v $demodir:/work/oneflow_demo 4pdosc/openmldb:0.8.2 bash +docker run -dit --name=openmldb --network=host -v $demodir:/work/oneflow_demo 4pdosc/openmldb:0.8.3 bash docker exec -it openmldb bash ``` diff --git a/docs/zh/use_case/talkingdata_demo.md b/docs/zh/use_case/talkingdata_demo.md index 1baff5ea2e2..c47bc9a652a 100755 --- a/docs/zh/use_case/talkingdata_demo.md +++ b/docs/zh/use_case/talkingdata_demo.md @@ -16,7 +16,7 @@ **启动 Docker** ``` -docker run -it 4pdosc/openmldb:0.8.2 bash +docker run -it 4pdosc/openmldb:0.8.3 bash ``` #### 1.1.2 在本地运行 diff --git a/docs/zh/use_case/taxi_tour_duration_prediction.md b/docs/zh/use_case/taxi_tour_duration_prediction.md index 21d2c50fee6..faaff3bf922 100644 --- a/docs/zh/use_case/taxi_tour_duration_prediction.md +++ b/docs/zh/use_case/taxi_tour_duration_prediction.md @@ -15,7 +15,7 @@ 在命令行执行以下命令拉取 OpenMLDB 镜像，并启动 Docker 容器： ```bash -docker run -it 4pdosc/openmldb:0.8.2 bash +docker run -it 4pdosc/openmldb:0.8.3 bash ``` 该镜像预装了OpenMLDB，并预置了本案例所需要的所有脚本、三方库、开源工具以及训练数据。 diff --git a/release/conf/openmldb-env.sh b/release/conf/openmldb-env.sh index d2967bdb777..c86d84aebd1 100644 --- a/release/conf/openmldb-env.sh +++ b/release/conf/openmldb-env.sh @@ -1,5 +1,5 @@ #! /usr/bin/env bash -export OPENMLDB_VERSION=0.8.2 +export OPENMLDB_VERSION=0.8.3 # openmldb mode: standalone / cluster export OPENMLDB_MODE=${OPENMLDB_MODE:=standalone} # tablet port diff --git a/steps/upgrade_docs_version.sh b/steps/upgrade_docs_version.sh index 7199962e667..e73dfdf0b4b 100644 --- a/steps/upgrade_docs_version.sh +++ b/steps/upgrade_docs_version.sh @@ -62,8 +62,8 @@ do upgrade_docker "$file" done -upgrade_java_sdk "docs/en/quickstart/java_sdk.md" upgrade_java_sdk "docs/zh/quickstart/sdk/java_sdk.md" +upgrade_java_sdk "docs/en/quickstart/sdk/java_sdk.md" cd demo/java_quickstart/demo || exit mvn versions:use-dep-version -Dincludes=com.4paradigm.openmldb:openmldb-jdbc -DdepVersion="${VERSION}" -DforceVersion=true cd - || exit