We would like to know how to check what jobs cluster to have to expand disk.
You can check in the cluster's event logs. You can type in the search box, "disk" and you will see all the events there.
Sometimes in Databricks you can see the out of memory error then in that case you can change the cluster size. As per requirement to resolve the issue.
Hi @S S,Could you provide more details on your issue? for example, error stack traces, code snippet, etc. We will be able to help you if you share more details
I created a simple definition of delta live table smth like:CREATE OR REFRESH STREAMING LIVE TABLE customers_silverAS SELECT * FROM STREAM(LIVE.customers_bronze)But I am getting an error when running a pipeline:com.databricks.sql.transaction.tahoe.De...
You might need to execute the following on your tables to avoid this error message ALTER TABLE <table_name> SET TBLPROPERTIES ( 'delta.minReaderVersion' = '2', 'delta.minWriterVersion' = '5', 'delta.columnMapping.mode' = 'name' )Docs https...
I am trying to read a .parqest file from a ADLS gen2 location in azure databricks . But facing the below error:spark.read.parquet("abfss://............/..._2023-01-14T08:01:29.8549884Z.parquet")org.apache.spark.SparkException: Job aborted due to stag...
Can you access the executor logs? When you cluster is up and running, you can access the executor's logs. For example, the error shows:org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent ...
Hi there, I recently made an account on the Community Edition and cannot seem to log in. Error says the following:Invalid email address or passwordNote: Emails/usernames are case-sensitiveSo I tried to reset my password and still could not log in. I ...
Hi @jagac petrovic Thank you for reaching out, and we’re sorry to hear about this log-in issue! We have this Community Edition login troubleshooting post on Community. Please take a look, and follow the troubleshooting steps. If the steps do not res...
Delta Lake provides optimizations that can help you accelerate your data lake operations. Here’s how you can improve query speed by optimizing the layout of data in storage.There are two ways you can optimize your data pipeline: 1) Notebook Optimizat...
some tips from me:Look for data skews; some partitions can be huge, some small because of incorrect partitioning. You can use Spark UI to do that but also debug your code a bit (get getNumPartitions()), especially SQL can divide it unequally to parti...
Hi team,Could you please confirm below clarifications1. How can we get the list of tables created by a user in particular workspace?2. How can we get the list of tables created by user from multiple workspaces? ( Same user has access to 10 workspace...
Hi Arun, hope your query is answered. Please select the best answer or let us know if any further questions.
So I've been having some issues reading a json file that's been provided to the business with another nesting layer, so instead of a json being an:'array of objects' -> [ {} ,{} ,{} ] It's an 'array of arrays of objects' -> [ [ {}, {} ,{} ], [ {} ,{}...
You can use the explode function to flatten the array to rows, can you post a simple example of your data?
I have a cdc enabled table where no data changes were made since July 28. Then updates started occurring from November 22 onwards. The first checkpoint occurred on Nov 28. Based on the corresponding timestamp of checkpoint and log files, it looks lik...
Hi @Laval Liahkim, could you please try running the VACUUM with 30 days retention?Please confirm when you last run the cmd with the 30-day retention period. Also, when you created this table and do you see old data files were deleted?Also, when disk...
So I'm the designated data engineer for a proof of concept we're running, I'm working with one infrastructure guy who's setting up everything in Terraform (company policy). He's got the setup down for Databricks so we can configure clusters and run n...
@Espen Solvang - Just thought of checking with you, could you please let us know if you require further assistance on this?
In Databricks on AWS, I am trying to run a streaming query (trigger=Once) with delta.enableChangeDataFeed=true in the table definition as instructed, but this always fails with :ERROR: Some streams terminated before this command could finish! com.d...
Hi @daniel e Can you try running the select command on table changes from 0th version and see if you get output?SELECT * FROM table_changes('tableName', 0)Also, Please share the streaming query that you are running.
Has anyone attempted to truncate a delta live gold level table that gets populated via a pipeline and then tried to repopulate it by starting the pipeline. I have this situation wherein i need to reprocess all data in my gold table, so i stopped the ...
Please can you confirm if the job is still failing with the same error even after “FULL REFRESH ALL” option? If so please share the full stack trace and is it failing in any of the below steps?Creating updateWaiting for resourcesInitializingResetting...
Currently, Nutter could be run inside a common CI/CD pipeline from GitLab, but need the possibility to run jobs with integration tests from the Databricks interface.How to use Nutter directly from Databricks?Does exist any integration test examples a...
Hi @Dmitrii Kalashnikov,You could find examples and more details here https://github.com/alexott/databricks-nutter-repos-demo
HI,I am tying to use the approxQuantile() function and populate a list that I made, yet somehow, whenever I try to run the code it's as if the list is empty and there are no values in it.Code is written as below:@dlt.table(name = "customer_order_silv...
Maybe try to use (and the first test in the separate notebook) standard df = spark.read.table("customer_order_silver") to calculate approxQuantile.Of course, you need to set that customer_order_silver has a target location in the catalog, so read us...
ERROR: Query termination received for [id=37bada03-131b-4fbb-8992-a427263fef2c, runId=cf3d7c18-780e-43ae-aed0-9daf2939b823], with exception: java.lang.IllegalArgumentException: Input byte array has wrong 4-byte ending unit at java.util.Base64$Decoder...
The issue could be due to the mismatch in the eventHub jar and the dependencies added. Also, not all the required dependencies may be added.Suggestions:Using the azure_eventhubs_spark_2_12_.jar eventHub spark jar along with the following dependencies...
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