Dataproc Persistent History Server: Up & Running
1 822
30.4
Google Cloud Platform1.17 млн
Следующее
03.03.23 – 3 5630:31Популярные
40 дней – 2 5961:25
143 дня – 25323:04Опубликовано 2 марта 2023, 23:04
The challenge with ephemeral clusters and Dataproc Serverless for Spark is that you will lose the application logs when the cluster machines are deleted after the job. Persistent History Server (PHS) enables access to the completed Hadoop and Spark application details for the jobs executed on different ephemeral clusters or serverless Spark. It can list running and completed applications. These are important for troubleshooting and exploring.
Check out this video to understand more about Persistent History Server!
Persistent History Server Best Practices and Code Snippets → goo.gle/3mjVkZL
Dataproc Persistent History Server Documentation → goo.gle/3JakmUg
Run faster and more cost-effective Dataproc jobs → goo.gle/3IHAye5
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
Check out this video to understand more about Persistent History Server!
Persistent History Server Best Practices and Code Snippets → goo.gle/3mjVkZL
Dataproc Persistent History Server Documentation → goo.gle/3JakmUg
Run faster and more cost-effective Dataproc jobs → goo.gle/3IHAye5
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
Свежие видео
3 дня – 2691:35
10 дней – 1 428 1530:18
16 дней – 1 322 5120:55
20 дней – 4 966 56120:29
20 дней – 88 0926:26
23 дня – 261 1995:08Случайные видео
196 дней – 139 74120:53
259 дней – 2 9532:26
273 дня – 31 0780:18
19.02.23 – 14 9190:12
08.10.22 – 221 37014:10
07.08.16 – 186 3077:01
1 день – 1 5040:40
1 день – 6530:32
1 день – 111 84037:21
1 день – 33 63714:57
1 день – 9704:01
1 день – 1 2500:32
1 день – 2 8010:31
10 часов – 08:07