@Anand Ladda @André Monteiro From comments in the code:Indicates whether the task should be run in a REPL. This value must be true to run on an existing cluster. Please ignore the 'run_as_repl' parameters it will be removed from public docs as it i...
I tried to use %fs head to print the contents of a CSV file used in a training%fs head "/mnt/path/file.csv"but got an error saying cannot head a directory!?Then I did %fs ls on the same CSV file and got a list of 4 files under a directory named as a ...
Hi @Al Jo , are you still seeing the error while printing the contents of te CSV file?
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Hello All, I am trying to use Databricks SQL but somehow the SQL end point is not getting started. It is in starting state for long time and then session is getting expired. Please note , the default SQL End point also not getting started. I am using...
@AMZ DUD did you get this working? With a quota of 500, 43 mins is a long time for a cluster to launch. Perhaps a something in the account isn’t set up correctly. Can you please email me your workspace ID please at bilal dot aslam at databricks dot ...
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Its all about spinning the spark cluster and both spark Sql api and databricks does the same operation what difference does it make to BI tools ?
Thanks @Bilal Aslam and @Aman Sehgal for jumping in! @Basavaraj Angadi I want to make sure you got your question(s) answered! Will you let us know? Don't forget, you can select any reply as the "best answer" !
Azure DBR - Have to load list of json files into data frame and then from DF to data bricks table but the column has special character and getting below error.Both column(key) and value (as json record) has special characters in the json file. # Can...
The best is just define schema manually. There is nice article from person who had exactly the same problem https://towardsdev.com/create-a-spark-hive-meta-store-table-using-nested-json-with-invalid-field-names-505f215eb5bf
Hi, I don't think there's a place to see this, please correct me if I'm wrong.Now to see performance tuning tips I have to go to spark UI, then to SQL view and on top I could see performance alerts that help me know If I need apply a spark config, co...
I think that can be requested at ideas.databricks.com
Hello.I want to know how to do an UPDATE on Azure SQL DataBase from Azure Databricks using PySpark.I know how to make query as SELECT and turn it into DataFrame, but how to send back some data (as UPDATE on rows)?I want to use build in pyspark istead...
This is discussed on Stack Overflow. As you see for Azure Synapse there is a way, but for a plain SQL database you will have to use some kind of driver like odbc/jdbc.
the spilled data is written to some object store on the cloud provider.I believe all of them apply encryption by default.Of course it is up to you (or your colleagues) to restrict access to the storage.
I have a path where there is _delta_log and 3 snappy.parquet files. I am trying to read all those .parquet using spark.read.format('delta').load(path) but I am getting data from only one same file all the time. Can't I read from all these files? If s...
@Werner Stinckens Thanks for the reply and explanation, that was helpful to understand the delta feature.
Hi Team,when we try to mount or access the blob storage where soft delete enabled. But it is getting failed with below errororg.apache.hadoop.fs.FileAlreadyExistsException: Operation failed: "This endpoint does not support BlobStorageEvents or So...
Jeez, I was planning on enabling soft delete on our adls gen2, but I think I will wait a while after reading this.
Has anyone seen something like this before? Today around midnight, our Job ID's started increasing in increments of quadrillions - was this a new change to how Job ID's are generated?
Thank you Ravi! Glad that this confirms my understanding
We are applying a groupby operation to a pyspark.sql.Dataframe and then on each group train a single model for mlflow. We see intermittent failures because the MLFlow server replies with a 429, because of too many requests/sWhat are the best practice...
To me it's already resolved through professional services. The question I do have is how useful is this community if people with the right background aren't here, and if it takes a month to get a no-answer.
Loaded a csv file with five columns into a dataframe, and then added around 15+ columns using dataframe.withColumn method.After adding these many columns, when I run the query df.rdd.isEmpty() - which throws the below error. org.apache.spark.SparkExc...
@Thushar R - Thank you for your patience. We are looking for the best person to help you.
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