I am running process which has 4 steps.Querying s3 file paths from dynamo DB based on certain parameters given by user. (function to do so provided by client, just have to import). Returns a list of filesCheck if those file paths have already been qu...
Hi @uzair mustafa​ Thank you for posting your question in our community! We are happy to assist you.Does @Suteja Kanuri​'s answer help? If it does, would you be happy to mark it as best?This will help other community members who may have similar ques...
I am using a threadpool executor and running notebooks in parallel. However, these parallel notebooks are not using executors at all and all the load is going towards the driver node resulting in running out of memory for the driver node and eventual...
Hi @uzair mustafa​ Thank you for your question! To assist you better, please take a moment to review the answer and let me know if it best fits your needs.Please help us select the best solution by clicking on "Select As Best" if it does.Your feedbac...
count of the table : 1125089 for october month data , So I am optimizing the table. optimize table where batchday >="2022-10-01" and batchday<="2022-10-31"I am getting error like : GC overhead limit exceeded at org.apache.spark.unsafe.types.UTF8St...
Hi @Nagini Sitaraman​ To understand the issue better I would like to get some more information. Does the error occur at the driver side or executor side? Can you please share the full error stack trace? You may need to check the spark UI to find wher...
I have a set of .hdf files that I want to distribute and read on Worker nodes under Databricks environment using PySpark. I am able to read .hdf files on worker nodes and get the data from the files. The next requirement is that now each worker node ...
In databricks jobs, there's a field to add concurrent runs which can be set to 1000.If I've a cluster with 4 worker nodes and 8 cores each, then at max how many concurrent jobs I'll be able to execute?What will happen if I launch 100 instances of sam...
@Aman Sehgal​ On E2 workspace the limit is 1000 concurrent runs. If you trigger 100 runs​ at the same time, 100 clusters will be created and the runs will be executed. If you use the same cluster for 100 runs, then you might face a lot of failed jobs...
I am running into the following error when I run a model fitting process over databricks-connect.It looks like worker nodes are unable to access modules from the project's parent directory. Note that the program runs successfully up to this point; n...
I have a notebook with many join and few persist operations (which runs fine on all-purpose-cluster (with worker nodes - i3.xlarge and autoscale enabled), but the same notebook failing in job-cluster with the same cluster definition (to be frank the ...
Hi @Ajay Nanjundappa​ ,Check "Event log" tab. Search for any spot terminations events. It seems like all your nodes are spot instances. The error "FetchFailedException" is associated with spot termination nodes.
I have a function making api calls. I want to run this function in parallel so I can use the workers in databricks clusters to run it in parallel. I have tried with ThreadPoolExecutor() as executor: results = executor.map(getspeeddata, alist)to run m...
You guys are not getting the point, I am making API calls in a function and want to store the results in a dataframe. I want multiple processes to run this task in parallel. How do I create a UDF and use it in a dataframe when the task is calling an ...
I have a security requirement to encrypt all data when it is in transit. I am wondering if there is a setting I can use to enable encryption of the data during shuffles between the worker nodes.
Databricks recommends launching the cluster so that the Spark driver is on an on-demand instance, which allows saving the state of the cluster even after losing spot instance nodes. If you choose to use all spot instances including the driver, any ca...
