feat: upgrade docker version

.github/workflows/sdk.yml

@@ -260,8 +260,8 @@ jobs:
 
       - name: prepare python deps
         run: |
-          python3 -m easy_install pip
-          pip install setuptools wheel twine
+          pip install setuptools twine==3.7.0
+          twine --version
           yum install -y net-tools
 
       - name: test sqlalchemy and generate coverage report

demo/Dockerfile

@@ -25,7 +25,7 @@ COPY *_dist.yml /work/
 
 ENV LANG=en_US.UTF-8
 ENV SPARK_HOME=/work/openmldb/spark-3.2.1-bin-openmldbspark
-ARG OPENMLDB_VERSION=0.8.0
+ARG OPENMLDB_VERSION=0.8.1
 ENV OPENMLDB_VERSION="${OPENMLDB_VERSION}"
 
 RUN  if [ "${USE_ADD_WHL}" = "true" ] ; then \

docs/en/quickstart/openmldb_quickstart.md

@@ -24,16 +24,6 @@ docker run -it 4pdosc/openmldb:0.8.1 bash
 After the container is successfully started, all the subsequent commands in this tutorial are executed within the container by default. 
 ```
 
-(download_data)=
-### 1.2. Download the Sample Data
-
-Download sample data:
-
-```bash
-curl https://openmldb.ai/demo/data.csv --output /work/taxi-trip/data/data.csv
-curl https://openmldb.ai/demo/data.parquet --output /work/taxi-trip/data/data.parquet
-```
-
 ## 2. The Standalone Version
 
 ### 2.1. Start the Server and Client

docs/zh/quickstart/openmldb_quickstart.md

@@ -26,14 +26,6 @@ docker run -it 4pdosc/openmldb:0.8.1 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。如果你需要从容器外访问容器内的 OpenMLDB 服务端，请参考 [CLI/SDK-容器 onebox 文档](../reference/ip_tips.md#clisdk-容器onebox)。
 ```
 
-### 下载样例数据
-
-在容器中执行以下命令，下载后续流程中使用的样例数据（**0.7.0 及之后的版本可跳过此步**，数据已经存放在镜像内）：
-
-```bash
-curl https://openmldb.ai/demo/data.parquet --output /work/taxi-trip/data/data.parquet
-```
-
 ### 启动服务端和客户端
 
 启动 OpenMLDB 服务端：

test/integration-test/openmldb-test-python/install.sh

@@ -17,7 +17,7 @@
 
 set -eE -x
 CURRENT_DIR=$(dirname "$0")
-SPARK_VERSION=0.8.0
+SPARK_VERSION=0.8.1
 pushd "${CURRENT_DIR}"
 cp -r ../../../openmldb ./
 sed -i"" -e "s/OPENMLDB_MODE:=standalone/OPENMLDB_MODE:=cluster/g" openmldb/conf/openmldb-env.sh