blocks|key|3624138|text|--更新|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3624139|确保在生产环境中安装了Cluster-level+permissions|offset|length|3624140|​|3624141|📷|atomic|3624142|3624143|3624144|3624145|3624146|3624147|3624148|3624149|Job+permissions|3624150|3624151|作业有五个权限级别:无权限、可以查看、可以管理运行、是所有者和可以管理。默认情况下，管理员被授予“可以管理”权限，他们可以将该权限分配给非管理员用户。|blockquote|3624152|3624153|3624154|3624155|3624156|3624157|3624158|3624159|3624160|3624161|3624162|3624163|3624164|3624165|3624166|接下来..。|3624167|我能够在Spark+UI中查看已完成的作业，而无需任何其他设置。|3624168|3624169|3624170|3624171|3624172|3624173|3624174|也许你在Notebook中所做的事情并不构成Spark+Job。|3624175|有关详细信息，请参阅：Web+UI和Monitoring+and+Instrumentation。|3624176|检出Spark+Glossary|3624177|3624178|+注意:+Spark作业由多个任务组成的并行计算，这些任务是为响应Spark操作(例如，保存、收集)而产生的；您将在驱动程序的日志中看到此术语的使用。|style|BOLD|3624179|3624180|3624181|View+cluster+information+in+the+Apache+Spark+UI|3624182|3624183|您可以获取有关活动集群和销毁集群的详细信息。如果重新启动终止的群集，Spark+UI将显示重新启动的群集的信息，而不是终止的群集的历史信息。|3624184|3624185|3624186|因此，如果我运行一台notebook，其中的一个任务只是显示我的挂载，或者一个失败或异常的任务，它不会在Spark+UI中列出。|3624187|3624188|3624189|3624190|3624191|3624192|3624193|看不到#job/83|3624194|3624195|3624196|3624197|entityMap|0|LINK|mutability|MUTABLE|url|https://docs.microsoft.com/en-us/azure/databricks/security/access-control/cluster-acl#cluster-level-permissions|1|IMAGE|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/0fc32c78f6fef1d254ee8c1130b346ba.png|imageAlt|2|https://ask.qcloudimg.com/http-save/yehe-900000/b3045aa18b1f5c3e8cef2327573d4fc0.png|3|https://ask.qcloudimg.com/http-save/yehe-900000/8b2cff308014241aff9be9635aeb7afd.png|4|https://docs.microsoft.com/en-us/azure/databricks/security/access-control/jobs-acl#job-permissions|5|https://ask.qcloudimg.com/http-save/yehe-900000/579e3a83b5a7dc15e66512a0505c1db8.png|6|https://ask.qcloudimg.com/http-save/yehe-900000/1dd5a9570982fda68c6ccc64aa6b17ec.png|7|https://ask.qcloudimg.com/http-save/yehe-900000/a66bb18e3544962f04608c62fbfe4426.png|8|https://ask.qcloudimg.com/http-save/yehe-900000/f36c6ac02250448d2ec6963bd0d09442.png|9|https://ask.qcloudimg.com/http-save/yehe-900000/7a234c087ab24d8ec6ca969d784390be.png|10|https://ask.qcloudimg.com/http-save/yehe-900000/22e4799d272db556d7cdec41d62e4a98.png|11|http://spark.apache.org/docs/latest/web-ui.html|12|http://spark.apache.org/docs/latest/monitoring.html|13|http://spark.apache.org/docs/latest/cluster-overview.html#glossary|14|https://docs.microsoft.com/en-us/azure/databricks/clusters/clusters-manage#--view-cluster-information-in-the-apache-spark-ui|15|https://ask.qcloudimg.com/http-save/yehe-900000/0d45bfc0dc57a179a0b61bb9151f0ba2.png|16|https://ask.qcloudimg.com/http-save/yehe-900000/0e6002b37b70ccd1cf14d1084d93b9b4.png|17|https://ask.qcloudimg.com/http-save/yehe-900000/f4e8b4140714bae3251559b4738e5ccc.png^0|0|B|P|0|0|0|0|1|1|0|0|0|0|1|2|0|0|0|0|1|3|0|0|0|F|4|0|0|0|0|0|0|0|1|5|0|0|0|0|1|6|0|0|0|0|1|7|0|0|0|0|1|8|0|0|0|0|0|0|1|9|0|0|0|0|1|A|0|0|0|B|6|B|I|U|C|0|2|E|D|0|0|1|22|0|0|0|0|1B|0|1B|E|0|0|0|1Y|0|0|0|0|1S|0|0|1|0|0|1|0|1|F|0|0|1|0|0|1|0|0|1|0|1|G|0|0|1|0|0|A|0|0|1|0|0|1|0|1|H|0|0|1|0^^$0|@$1|2|3|4|5|6|7|3S|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|3T|8|@]|9|@$D|3U|E|3V|1|3W]]|A|$]]|$1|F|3|G|5|6|7|3X|8|@]|9|@]|A|$]]|$1|H|3|I|5|J|7|3Y|8|@]|9|@$D|3Z|E|40|1|41]]|A|$]]|$1|K|3|G|5|6|7|42|8|@]|9|@]|A|$]]|$1|L|3|G|5|6|7|43|8|@]|9|@]|A|$]]|$1|M|3|I|5|J|7|44|8|@]|9|@$D|45|E|46|1|47]]|A|$]]|$1|N|3|G|5|6|7|48|8|@]|9|@]|A|$]]|$1|O|3|G|5|6|7|49|8|@]|9|@]|A|$]]|$1|P|3|I|5|J|7|4A|8|@]|9|@$D|4B|E|4C|1|4D]]|A|$]]|$1|Q|3|G|5|6|7|4E|8|@]|9|@]|A|$]]|$1|R|3|S|5|6|7|4F|8|@]|9|@$D|4G|E|4H|1|4I]]|A|$]]|$1|T|3|-4|5|6|7|4J|8|@]|9|@]|A|$]]|$1|U|3|V|5|W|7|4K|8|@]|9|@]|A|$]]|$1|X|3|-4|5|6|7|4L|8|@]|9|@]|A|$]]|$1|Y|3|-4|5|6|7|4M|8|@]|9|@]|A|$]]|$1|Z|3|G|5|6|7|4N|8|@]|9|@]|A|$]]|$1|10|3|I|5|J|7|4O|8|@]|9|@$D|4P|E|4Q|1|4R]]|A|$]]|$1|11|3|G|5|6|7|4S|8|@]|9|@]|A|$]]|$1|12|3|G|5|6|7|4T|8|@]|9|@]|A|$]]|$1|13|3|I|5|J|7|4U|8|@]|9|@$D|4V|E|4W|1|4X]]|A|$]]|$1|14|3|G|5|6|7|4Y|8|@]|9|@]|A|$]]|$1|15|3|G|5|6|7|4Z|8|@]|9|@]|A|$]]|$1|16|3|I|5|J|7|50|8|@]|9|@$D|51|E|52|1|53]]|A|$]]|$1|17|3|G|5|6|7|54|8|@]|9|@]|A|$]]|$1|18|3|G|5|6|7|55|8|@]|9|@]|A|$]]|$1|19|3|I|5|J|7|56|8|@]|9|@$D|57|E|58|1|59]]|A|$]]|$1|1A|3|G|5|6|7|5A|8|@]|9|@]|A|$]]|$1|1B|3|1C|5|6|7|5B|8|@]|9|@]|A|$]]|$1|1D|3|1E|5|6|7|5C|8|@]|9|@]|A|$]]|$1|1F|3|G|5|6|7|5D|8|@]|9|@]|A|$]]|$1|1G|3|I|5|J|7|5E|8|@]|9|@$D|5F|E|5G|1|5H]]|A|$]]|$1|1H|3|G|5|6|7|5I|8|@]|9|@]|A|$]]|$1|1I|3|G|5|6|7|5J|8|@]|9|@]|A|$]]|$1|1J|3|I|5|J|7|5K|8|@]|9|@$D|5L|E|5M|1|5N]]|A|$]]|$1|1K|3|G|5|6|7|5O|8|@]|9|@]|A|$]]|$1|1L|3|1M|5|6|7|5P|8|@]|9|@]|A|$]]|$1|1N|3|1O|5|6|7|5Q|8|@]|9|@$D|5R|E|5S|1|5T]|$D|5U|E|5V|1|5W]]|A|$]]|$1|1P|3|1Q|5|6|7|5X|8|@]|9|@$D|5Y|E|5Z|1|60]]|A|$]]|$1|1R|3|-4|5|6|7|61|8|@]|9|@]|A|$]]|$1|1S|3|1T|5|W|7|62|8|@$D|63|E|64|1U|1V]]|9|@]|A|$]]|$1|1W|3|-4|5|6|7|65|8|@]|9|@]|A|$]]|$1|1X|3|-4|5|6|7|66|8|@]|9|@]|A|$]]|$1|1Y|3|1Z|5|6|7|67|8|@$D|68|E|69|1U|1V]]|9|@$D|6A|E|6B|1|6C]]|A|$]]|$1|20|3|-4|5|6|7|6D|8|@]|9|@]|A|$]]|$1|21|3|22|5|W|7|6E|8|@$D|6F|E|6G|1U|1V]]|9|@]|A|$]]|$1|23|3|-4|5|6|7|6H|8|@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<h2>--Update</h2>
Ensure you have <a href="https://docs.microsoft.com/en-us/azure/databricks/security/access-control/cluster-acl#cluster-level-permissions" rel="nofollow noreferrer">Cluster-level permissions</a> on PROD env
<a href="https://i.stack.imgur.com/0mLZr.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/0mLZr.png" alt="enter image description here" /></a>
<a href="https://i.stack.imgur.com/G7Zsw.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/G7Zsw.png" alt="enter image description here" /></a>
<a href="https://i.stack.imgur.com/7C716.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/7C716.png" alt="enter image description here" /></a>
<a href="https://docs.microsoft.com/en-us/azure/databricks/security/access-control/jobs-acl#job-permissions" rel="nofollow noreferrer">Job permissions</a>
<blockquote>
There are five permission levels for jobs: No Permissions, Can View,
Can Manage Run, Is Owner, and Can Manage. Admins are granted the Can
Manage permission by default, and they can assign that permission to
non-admin users.
</blockquote>
<a href="https://i.stack.imgur.com/yZzwd.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/yZzwd.png" alt="enter image description here" /></a>
<a href="https://i.stack.imgur.com/vmxzA.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/vmxzA.png" alt="enter image description here" /></a>
<a href="https://i.stack.imgur.com/oy3rK.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/oy3rK.png" alt="enter image description here" /></a>
<a href="https://i.stack.imgur.com/U7gHU.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/U7gHU.png" alt="enter image description here" /></a>
<h2>Next...</h2>
Am able to view the completed jobs in the Spark UI without any additional setup.
<a href="https://i.stack.imgur.com/fMBd1.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/fMBd1.png" alt="enter image description here" /></a>
<a href="https://i.stack.imgur.com/dgVoa.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/dgVoa.png" alt="enter image description here" /></a>
It maybe that the stuff you are doing in the Notebook, does not constitute for a Spark Job.
Refer: <a href="http://spark.apache.org/docs/latest/web-ui.html" rel="nofollow noreferrer">Web UI</a> and <a href="http://spark.apache.org/docs/latest/monitoring.html" rel="nofollow noreferrer">Monitoring and Instrumentation</a> for more details.
Checkout <a href="http://spark.apache.org/docs/latest/cluster-overview.html#glossary" rel="nofollow noreferrer">Spark Glossary</a>
<blockquote>
Note: Job A parallel computation consisting of multiple tasks that gets spawned in response to a Spark action (e.g. save, collect);
you'll see this term used in the driver's logs.
</blockquote>
<a href="https://docs.microsoft.com/en-us/azure/databricks/clusters/clusters-manage#--view-cluster-information-in-the-apache-spark-ui" rel="nofollow noreferrer">View cluster information in the Apache Spark UI</a>
<blockquote>
You can get details about active and terminated clusters. If you
restart a terminated cluster, the Spark UI displays information for
the restarted cluster, not the historical information for the
terminated cluster.
</blockquote>
So, If I run a notebook with a task to simply display my mounts or with a task that failed or exception, it is not listed in Spark UI.
<a href="https://i.stack.imgur.com/2a7VK.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/2a7VK.png" alt="enter image description here" /></a>
<a href="https://i.stack.imgur.com/zZQd9.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/zZQd9.png" alt="enter image description here" /></a>
#job/83 is not seen
<a href="https://i.stack.imgur.com/j1cE3.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/j1cE3.png" alt="enter image description here" /></a>

I am not able to view the spark-ui for databricks jobs executed through notebook activity in Azure datafactory.
Does anyone know which permissions needs to be added to enable the same?
<a href="https://i.stack.imgur.com/FY4PH.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/FY4PH.png" alt="enter image description here" /></a>

View Spark UI for Jobs executed via Azure ADF

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我无法查看通过Azure数据工厂中的notebook活动执行的databricks作业的spark-ui。有人知道需要添加哪些权限才能启用相同的权限吗？​​

问查看通过Azure ADF执行的作业的Spark UI
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