topic Is it reasonable for the process "Determining the location of DBIO file fragments." to take me 7 hours? in Data Engineering

Is it reasonable for the process "Determining the location of DBIO file fragments." to take me 7 hours?

Dicer — Mon, 24 Oct 2022 14:56:23 GMT

I only have 1000 columns. Each column has 252 rows, so there are only 252000 data points.

How come it can route tasks for the best-cached locality for 7 hours?

Re: Is it reasonable for the process "Determining the location of DBIO file fragments." to take me 7 hours?

Dicer — Tue, 25 Oct 2022 13:50:11 GMT

I tried the following one and it still took more than 10 hours until Fatal error: The Python kernel is unresponsive.

%sql
 
--Enable Auto Optimization
set spark.databricks.delta.properties.defaults.autoOptimize.optimizeWrite = true;
set spark.databricks.delta.properties.defaults.autoOptimize.autoCompact = true;

Re: Is it reasonable for the process "Determining the location of DBIO file fragments." to take me 7 hours?

Dicer — Mon, 31 Oct 2022 18:52:20 GMT

@Kaniz Fatma Is there any way to shorten the process "Determining the location of DBIO file fragments." runtime?

Re: Is it reasonable for the process "Determining the location of DBIO file fragments." to take me 7 hours?

Anonymous — Sun, 27 Nov 2022 14:17:09 GMT

Hi @Cheuk Hin Christophe Poon

Hope all is well! Just wanted to check in if you were able to resolve your issue and would you be happy to share the solution or mark an answer as best? Else please let us know if you need more help.

We'd love to hear from you.

Thanks!

Re: Is it reasonable for the process "Determining the location of DBIO file fragments." to take me 7 hours?

Noopur_Nigam — Wed, 30 Nov 2022 15:01:42 GMT

Hi @Cheuk Hin Christophe Poon have you optimize your table anytime since it's creation? If not, then optimize may take some time depending on the no of underlying files.

Please try to run optimize manually as described in below document:

https://docs.databricks.com/sql/language-manual/delta-optimize.html

If this doesn't help, you can try disabling DBIO cache by setting below in your notebook:

spark.conf.set("spark.databricks.io.cache.enabled", "false")