在shell oozie操作中读取python脚本中的hive表

#!/bin/bash

# 执行Python脚本
python your_python_script.py

# 读取hive表
hive -e "SELECT * FROM your_hive_table;"

<workflow-app xmlns="uri:oozie:workflow:0.5" name="shell-oozie-workflow">
    <start to="shell-node"/>
    <action name="shell-node">
        <shell xmlns="uri:oozie:shell-action:0.3">
            <job-tracker>${jobTracker}</job-tracker>
            <name-node>${nameNode}</name-node>
            <exec>your_shell_script.sh</exec>
            <file>${workflowAppUri}/your_shell_script.sh#your_shell_script.sh</file>
        </shell>
        <ok to="end"/>
        <error to="fail"/>
    </action>
    <kill name="fail">
        <message>Shell action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
    </kill>
    <end name="end"/>
</workflow-app>

<coordinator-app xmlns="uri:oozie:coordinator:0.5" name="shell-oozie-coordinator" frequency="${coord:days(1)}" start="${start_time}" end="${end_time}" timezone="UTC">
    <controls>
        <timeout>60</timeout>
        <concurrency>1</concurrency>
        <execution>FIFO</execution>
    </controls>
    <datasets>
        <dataset name="input" frequency="${coord:days(1)}" initial-instance="${start_time}" timezone="UTC">
            <uri-template>your_input_path</uri-template>
        </dataset>
    </datasets>
    <input-events>
        <data-in name="input_data" dataset="input">
            <instance>${coord:current(0)}</instance>
        </data-in>
    </input-events>
    <action>
        <workflow>
            <app-path>${workflowAppUri}/your_workflow.xml</app-path>
        </workflow>
    </action>
</coordinator-app>