<\/span><\/h2>\n\n\n\nYou need to think about more than just how to run notebooks concurrently. There are other factors that determine the best approach.<\/p>\n\n\n\n
The type of workload, the size of the data, and the resources available all come into play. Here are some aspects to consider.<\/p>\n\n\n\n
Data size and skew<\/h3>\n\n\n\n
Do you have some notebooks operating against massive data sets and others against small tables?<\/p>\n\n\n\n
It may make more sense to run the \u201csmall\u201d notebooks in one parallel batch to get them out of the way. This is especially so if the failure of any one notebook means that the entire set has to run again.<\/p>\n\n\n\n
Task Independence<\/h3>\n\n\n\n
Is every notebook independent of each other? If yes, then you\u2019re more likely to have success with a parallel approach.<\/p>\n\n\n\n
However, there can sometimes be data dependencies or the need for a file to exist that was created by another notebook. <\/p>\n\n\n\n
At best, this introduces bottlenecks while one notebook waits on another to get to a specific step. At worst, it creates data inconsistency.<\/p>\n\n\n\n
If your notebooks are dependent, you should probably think of a different pattern of workflow.<\/p>\n\n\n\n
Resources and Overhead<\/h3>\n\n\n\n
Parallel processing comes with overhead, such as thread creation and context switching. For lightweight tasks, the overhead may outweigh the benefits of parallel execution.<\/p>\n\n\n\n
In other words, it may cost more than running everything sequentially.<\/p>\n\n\n\n
Concurrent Rate Limits<\/h3>\n\n\n\n
Databricks has limits on the number of notebooks that can be run concurrently.<\/p>\n\n\n\n
The maximum number has increased in recent years, but be sure to check the limits when you are planning your parallel execution strategy.<\/p>\n\n\n\n
Error Handling<\/h3>\n\n\n\n
When running tasks in parallel, consider how you will handle failures. It\u2019s a good idea to map out the flow on a whiteboard.<\/p>\n\n\n\n
If one notebook fails, should all the others be suspended? Or can the rest reach the finish line and wait for the problem child to be fixed and restarted?<\/p>\n\n\n\n
You should have a plan before running a thousand notebooks in parallel against massive data sets!<\/p>\n","protected":false},"excerpt":{"rendered":"
There are several ways to run multiple notebooks in parallel in Databricks. You can also launch the same notebook concurrently. If this is a once-off task, you may simply want to use the Workspace interface to create and launch jobs in parallel. However, you can also create a “master” notebook that programmatically calls other notebooks … Read more<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[29],"tags":[],"_links":{"self":[{"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/posts\/951"}],"collection":[{"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/comments?post=951"}],"version-history":[{"count":2,"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/posts\/951\/revisions"}],"predecessor-version":[{"id":955,"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/posts\/951\/revisions\/955"}],"wp:attachment":[{"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/media?parent=951"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/categories?post=951"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/tags?post=951"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}