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https://issues.apache.org/jira/browse/SUBMARINE-230?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Zhankun Tang updated SUBMARINE-230:
-----------------------------------
Target Version: 0.4.0 (was: 0.3.0)
Bulk update due to releasing 0.3.0. Please change it back if you think this is
a blocker.
> [Umbrella] Submarine Interpreter Module
> ---------------------------------------
>
> Key: SUBMARINE-230
> URL: https://issues.apache.org/jira/browse/SUBMARINE-230
> Project: Apache Submarine
> Issue Type: New Feature
> Components: Workbench Interpreter
> Reporter: Liu Xun
> Assignee: Liu Xun
> Priority: Major
>
> Because the user needs to write code and execution in the workbench (such as
> executing Python, Spark sql), in order to avoid user resource competition and
> code security control when the user executes the code, Workbench will create
> a Docker container for each user, User can write code in own container, bind
> the Github account for code version management, execute python and spark
> programs.
> 2. Interpreter
> Submarine provides multi-language execution for notebooks in workbench
> through interpreters in a variety of programming languages (for example,
> python interpreter, spark interpreter).
> 2.1 Interpreter execution flow
> 1. The user enters the code in the workbench notebook and clicks the execute
> button. First the workbench server starts the interpreter process.
> 2. The workbench server sends the user's code to the interpreter process via
> the interface for execution, and gets the execution result, returning to the
> workbench notebook for display.
> Design doc:
> https://docs.google.com/document/d/1LJc5hRTWfIs6K5f7vMgGC_FUizeQf-qqiWICqO8SoR8/edit#
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