Unable to create workspace after deleting existing one without deleting clusters and other resources.
I created a notebook that uses Autoloader to load data from storage and append it to a bronze table in the first cell, this works fine and Autoloader picks up new data when it arrives (the notebook is ran using a Job).In the same notebook, a few cell...
Thanks @Retired_mod, in a case where it's not possible or not practical to implement a pipeline with DLTs, what would be that "retry mechanism" based on ? I.e., is there an API other that the table history that can be leveraged to retry until "it wo...
Concerning job cluster configuration, I'm trying to figure out what happens if AWS node type availability is smaller than the minimum number of workers specified in the configuration json (either availabilty<num_workers or, for autoscaling, availabil...
thanks, @Retired_mod , useful info!My specific scenario is running a notebook task with Job Clusters, and I've noticed that I get the best overall notebook run time by going without Autoscaling, setting the cluster configuration with a fixed `num_wor...
I have proto files (offline data storage) that I'd like to read from a Databricks notebook. I found this documentation (https://docs.databricks.com/structured-streaming/protocol-buffers.html), but it only covers how to read the protobuf data once the...
If you have proto files in offline data storage, you should be able to read them with:input_df = spark.read.format("binaryFile").load(data_path)
When starting a DB job using 13.3 LTS (includes Apache Spark 3.4.1, Scala 2.12) cluster, I am seeing a lots of these errors in log4j output. Any ideas? Thx23/09/11 13:24:14 ERROR CommandLineHelper$: Command [REDACTED] failed with exit code 2 out: err...
Hi,I'm connecting to a Databricks instance on Azure from a Windows Application using Simba ODBC driver, and when running SQL statements on delta tables, like INSERT, UPDATE, DELETE commands using Execute, the result doesn't indicate the no. of rows a...
I am running the following structured streaming Scala code in DB 13.3LTS job: val query = spark.readStream.format("delta") .option("ignoreDeletes", "true") .option("maxFilesPerTrigger", maxEqlPerBatch) .load(tblPath) .writeStream .qu...
I have "Git provider" job created and running fine on the remote git. The problem is that I have to manually trigger it. Is there a way to run the job automatically whenever a new commit to the branch? (In "Schedules & Triggers section", I can find a...
here is my screen after clicked "Add Trigger", I don't see option "Git provider" as a trigger type. Or something else shall I do? see attached.
Hello,This is question on our platform with `Databricks Runtime 11.3 LTS`.I'm running a Job with multiple tasks in // using a shared cluster.Each task runs a dedicated scala class within a JAR library attached as a dependency.One of the task fails (c...
Hi,This actually should not be marked as solved. We are having the same problem, whenever a Shared Job Cluster crashes for some reason (generally OoM), all tasks will start failing until eternity, with the error message as described above. This is ac...
I am trying to ingest data into Databricks with Kafka. I have Kafka installed in a Virtual Machine where I already have the data I need in a Kafka Topic stored as json. In Databricks, I have the following code:```df = (spark.readStream .format("kaf...
you need to check the driver's logs when your streaming is initializing. Please check the log4j output for the driver's logs. If there is an issue connecting to your Kafka broker, you will be able to see it
ConcurrentAppendException requires a good partitioning strategy, here my logic works without fault for "whenMatchedUpdate" and "whenNotMatchedInsert" logic. When using "whenNotMatchedBySourceUpdate" however it seems that the condition doesn't isolate...
benefit of using vectorized pandas UDFs instead of the standard Pyspark UDFs?
Vectorized Pandas UDFs offer improved performance compared to standard PySpark UDFs by leveraging the power of Pandas and operating on entire columns of data at once, rather than row by row.They provide a more intuitive and familiar programming inter...
Getting this error in Databricks and don't know how to solveOSError: [Errno 7] Argument list too long: '/dbfs/databricks/aaecz/dev/w000aaecz/etl-framework-adb/0.4.31-20230503.131701-1/etl_libraries/utils/datadog/restart_datadog.sh'if anyone can help
@MUA Just a friendly follow-up. Did any of the responses help you to resolve your question? if it did, please mark it as best. Otherwise, please let us know if you still need help.
I am trying to troubleshoot why spill occurred during DeltaOptimizeWrite. I am running a 64-core cluster with 256 GB RAM, which I expect to be handle this amount data (see attached DAG).
You can resolver the Spill to memory by increasing the shuffle partitions, but 16 GB of spill memory should not create a major impact of your job execution. Could you share more details on the actual source code that you are running?
Got below failure on scheduled job on interactive cluster and the next scheduled run executed fine.I want to know why this error occurred and how can I prevent it to happen again.And how to debug these errors in future ? com.databricks.backend.commo...
@JKR Just a friendly follow-up. Did any of the responses help you to resolve your question? if it did, please mark it as best. Otherwise, please let us know if you still need help.
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