The star inside WHERE
The star (*) can be used inside the WHERE clause in #Databricks as of runtime version 15.
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The star (*) can be used inside the WHERE clause in #Databricks as of runtime version 15.
I am brand new to Databricks and am working on connecting a power bi semantic model to our databricks instance. I have successfully connected it to an All Purpose Compute but was wondering if there was a way I could see the queries that power bi is ...
For All purpose compute, best bet would be to use the system tables,specifically the system.access.audit table. https://docs.databricks.com/en/administration-guide/system-tables/index.html
Hello Databricks Community,I am currently working in a Databricks environment and trying to set up custom logging using Log4j in a Python notebook. However, I've run into a problem due to the use of Spark Connect, which does not support the _jvm attr...
import logging logging.getLogger().setLevel(logging.WARN) log = logging.getLogger("DATABRICKS-LOGGER") log.warning("Hello")
Hello all,The official documentation for Databricks Connect states that, for Databricks Runtime versions 13.0 and above, my cluster needs to have Unity Catalog enabled for me to use Databricks Connect, and use a Databricks cluster through an IDE like...
@VovaVili Databricks Connect version 0.205.0 only supports DBR 13.x
In my notebook, i am performing few join operations which are taking more than 30s in cluster 14.3 LTS where same operation is taking less than 4s in 13.3 LTS cluster. Can someone help me how can i optimize pyspark operations like joins and withColum...
Thank you for sharing the analysis
Hi guys, i am running my Databricks jobs on a cluster job from azure datafactory using a databricks Python activity When I monitor my jobs in workflow-> job runs . I see that the run name is a concatenation of adf pipeline name , Databricks python ac...
I don't think that level of customisation is provided. However, I can suggest some workarounds:REST API: Create a job on the fly with desired name within ADF and trigger it using REST API in Web activity. This way you can track job completion status ...
User is running a job triggered from ADF in Databricks. In this job they need to use custom libraries that are in jars. Most of the times jobs are running fine, however sometimes it fails with:java.lang.NoClassDefFoundError: Could not initializeAny s...
Can you please check if there are more than one jar containing this class . If multiple jars of the same type are available on the cluster, then there is no guarantee of JVM picking the proper classes for processing, which results in the intermittent...
Hi everyone!I'm setting up a workflow using Databricks Assets Bundles (DABs). And I want to configure my workflow to be trigger on file arrival. However all the examples I've found in the documentation use schedule triggers. Does anyone know if it is...
Hi @Jorge3 Yes, you can use continues mode also.Please find syntax below - resources: jobs: dbx_job: name: continuous_job_name continuous: pause_status: UNPAUSED queue: enabled: true
I have an idea of sharing & trading IoT data streamlined from many data sources on the incentive platform.I would be appreciate it if you guys discuss with me about the idea.Thank you
Hello @Rene,Building an IoT data trading platform using Databricks is indeed a feasible and innovative idea. Databricks provides a unified analytics platform that can handle massive amounts of data processing and advanced analytics, which is essentia...
I'm using Databricks asset bundles and I have pipelines that contain "if all done rules". When running on CI/CD, if a task fails, the pipeline returns a message like "the job xxxx SUCCESS_WITH_FAILURES" and it passes, potentially deploying a broken p...
Awesome answer, I will try the first approach. I think it is a less intrusive solution than changing the rules of my pipeline in development scenarios. This way, I can maintain a general pipeline for deployment across all environments. We plan to imp...
I've defined a streaming deltlive table in a notebook using python.running on "preview" channeldelta cache accelerated (Standard_D4ads_v5) computeIt fails withorg.apache.spark.sql.streaming.StreamingQueryException: [STREAM_FAILED] Query [id = xxx, ru...
Hi @smedegaard, You’re encountering a StreamingQueryException with the message: “getPrimaryKeys not implemented for debezium SQLSTATE: XXKST.” This error suggests that the getPrimaryKeys operation is not supported for the Debezium connector in your ...
Hi Team,Is there any impact when integrating Databricks with Boomi as opposed to Azure Event Hub? Could you offer some insights on the integration of Boomi with Databricks?https://boomi.com/blog/introducing-boomi-event-streams/Regards,Janga
Hi @Phani1, Let’s explore the integration of Databricks with Boomi and compare it to Azure Event Hub. Databricks Integration with Boomi: Databricks is a powerful data analytics platform that allows you to process large-scale data and build machin...
Hello All,My scenario required me to create a code that reads tables from the source catalog and writes them to the destination catalog using Spark. Doing one by one is not a good option when there are 300 tables in the catalog. So I am trying the pr...
Hi @ETLdeveloper You can use the multithreading that help you to run notebook in parallel.Attaching code for your reference - from concurrent.futures import ThreadPoolExecutor class NotebookData: def __init__(self, path, timeout, parameters = Non...
Hi All! Im in a project where i need to connect azure devops and databricks using managed identity to avoid the using of service account, PAT, etc.The thing is i cant move forward with the connection since i cannot take the ownership of the files wh...
Hi @TitaMn, Connecting Azure DevOps and Azure Databricks using managed identity is a great approach to enhance security and avoid using service accounts or personal access tokens (PATs). Let’s explore some options: Azure Managed Identity for Dat...
Hi,Would anyone happen to know whether it's possible to cache a dataframe in memory that the result of a query on a federated table?I have a notebook that queries a federated table, does some transformations on the dataframe and then writes this data...
@daniel_sahal , this is the code snippet:lsn_incr_batch = spark.sql(f"""select start_lsn,tran_begin_time,tran_end_time,tran_id,tran_begin_lsn,cast('{current_run_ts}' as timestamp) as appendedfrom externaldb.cdc.lsn_time_mappingwhere tran_end_time > '...
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