azure-databricks

问题 Complete error : Databricks Job timed out with error : Lost executor 0 on [IP]. Remote RPC client disassociated. Likely due to containers exceeding thresholds, or network issues. Check driver logs for WARN messages. We are running jobs using Jobs API 2.0 on Azure Databricks subscription and using the Pools interface for less spawn time and using the worker/driver as Standard_DS12_v2. We have a job(JAR main) which has just one SQL procedure call. This call takes more than 1.2 hour to complete.

问题 I am using Python spark writing a data-frame to a folder in blob which gets saved as part files : df.write.format("json").save("/mnt/path/DataModel") Files are saved as : i am using following code to merge it into one file : #Read Part files path = glob.glob("/dbfs/mnt/path/DataModel/part-000*.json") #Move file to FinalData folder in blbo for file in path: shutil.move(file,"/dbfs/mnt/path/FinalData/FinalData.json") But FinalData.Json only have last part file data and not data of all part

问题 I am interested in performing Big Data Geospatial analysis on Apache Spark. My data is stored in Azure data lake, and I am restricted to use Azure Databricks. Is there anyway to download Geomesa on Databrick? Moreover, I would like to use the python api; what should I do? Any help is much appreciated!! 回答1: As a starting point, without knowing any more details, you should be able to use the GeoMesa filesystem data store against files stored in WASB. 回答2: You can install GeoMesa Library

问题 I am reading files on an Azure Blob Storage account (gen 2) from an Azure Databricks Notebook. Both services are in the same region (West Europe). Everything works fine, except when I add a firewall in front of the storage account. I have opted to allow "trusted Microsoft services": However, running the notebook now ends up with an access denied error: com.microsoft.azure.storage.StorageException: This request is not authorized to perform this operation. I tried to access the storage directly

问题 I want to use dbutils command for accessing secrets in my pyspark job submitting through Spark-Submit inside Jobs on Databricks. While using dbutils command it is giving error dbutils not defined. Is there is the way to use dbutils in a pyspark job other than a notebook? Tried the following solutions: 1) import DBUtils, according to this solution. But this is not Databricks dbutils. 2) import pyspark.dbutils import DBUtils , according to this solution. But this also didn't work. pyspark job

问题 I want to use dbutils command for accessing secrets in my pyspark job submitting through Spark-Submit inside Jobs on Databricks. While using dbutils command it is giving error dbutils not defined. Is there is the way to use dbutils in a pyspark job other than a notebook? Tried the following solutions: 1) import DBUtils, according to this solution. But this is not Databricks dbutils. 2) import pyspark.dbutils import DBUtils , according to this solution. But this also didn't work. pyspark job

问题 I am executing a Spark job in Databricks cluster. I am triggering the job via a Azure Data Factory pipeline and it execute at 15 minute interval so after the successful execution of three or four times it is getting failed and throwing with the exception "java.lang.OutOfMemoryError: GC overhead limit exceeded" . Though there are many answer with for the above said question but in most of the cases their jobs are not running but in my cases it is getting failed after successful execution of

问题 I want to read csv file into dfTRUEcsv How to get the value (03,05) and 11 as string in the below eg I want to pass those string as a parameter to get files from that folder i will pass (03,05) and 11 as parameters if TRUE , for each Loop start Folder\03 ; Folder\05 ; Folder\11 +-------------+--------------+--------------------+-----------------+--------+ |Calendar_year|Calendar_month|EDAP_Data_Load_Statu|lake_refined_date|isreload| +-------------+--------------+--------------------+---------

问题 I want to try out cluster scoped init scripts on a Azure Databricks cluster. I'm struggling to see which commands are available. Basically, I've got a file on dbfs that I want to copy to a local directory /tmp/config when the cluster spins up. So I created a very simple bash script: #!/bin/bash mkdir - p /tmp/config databricks fs cp dbfs:/path/to/myFile.conf /tmp/config Spinning up the cluster fails with "Cluster terminated. Reason: Init Script Failure". Looking at the log on dbfs, I see the

问题 I need to access Azure Files from Azure Databricks. According to the documentation Azure Blobs are supported but I am need this code to work with Azure files: dbutils.fs.mount( source = "wasbs://<your-container-name>@<your-storage-account-name>.file.core.windows.net", mount_point = "/mnt/<mount-name>", extra_configs = {"<conf-key>":dbutils.secrets.get(scope = "<scope-name>", key = "<key-name>")}) or is there another way to mount/access Azure Files to/from a Azure Databricks cluster? Thanks