Resolved! Converting dataframe to delta.
Is it possible to convert the dataframe to a delta table without saving the dataframe on the storage?
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Is it possible to convert the dataframe to a delta table without saving the dataframe on the storage?
no, it will only be a delta table when writing it.
I am running a notebook on the Coursera platform.my configuration file, Classroom-Setup, looks like this:%python spark.conf.set("com.databricks.training.module-name", "deep-learning") spark.conf.set("com.databricks.training.expected-dbr", "6.4") ...
Hi @Maria Bruevich​ ,From the error description, it looks like the mlflow library is not present. You can use ML cluster as these type of cluster already have mlflow library. Please check the below document:https://docs.databricks.com/release-notes/r...
The image below shows what my source data is (HAVE) and what I'm trying to get to (WANT).I want to be able to calculate the percentage of bad messages (where formattedMessage = false) by source and date.I'm not sure how to achieve this in DatabricksS...
you could use a windows function over source and date with a sum of messagecount. This gives you the total per source/date repeated on every line.Then apply a filter on formattedmessage == false and divide messagecount by the sum above.
Our customer is using Azure’s blob storage service to save big files so that we can work with them using an Azure online service, like Databricks.We want to read and work with these files with a computing resource obtained by Azure directly without d...
data=[['x', 20220118, 'FALSE', 3],['x', 20220118, 'TRUE', 97],['x', 20220119, 'FALSE', 1],['x', 20220119, 'TRUE', 49],['Y', 20220118, 'FALSE', 100],['Y', 20220118, 'TRUE', 900],['Y', 20220119, 'FALSE', 200],['Y', 20220119, 'TRUE', 800]]df=spark.creat...
Using Azure databricks, I have set up SQL Endpoint with the connection details that match with global init script. I am able to browse tables from regular cluster in Data Engineering module but i get below error when trying a query using SQL Endpoint...
@Prabakar Ammeappin​ @Kaniz Fatma​ Also I found out that after delta table is created in external metastore (and the table data resides in ADLS) then in the sql end point settings I do not need to provide ADLS connection details. I only provided...
Hi Everyone can someone help with creating custom queue for auto loader as given here as default FlushwithClose event is not getting created when my data is uploaded to blob as given in azure DB docscloudFiles.queueNameThe name of the Azure queue. If...
you need to setup notification service for blob/adls like here https://docs.databricks.com/spark/latest/structured-streaming/auto-loader-gen2.html#cloud-resource-managementsetUpNotificationServices will return queue name which later can be used in au...
In one of my delta table , the string column "abc" has 1753484 characters long value (string) . I get an error while selecting or transforming this column value ( in the downstream application). How do I solve this? SELECT ID, abc, length(abc) as ...
Hi @prasad vaze​ , try using the CHAR_LENGTH function.
Hi Team, I was trying to call/run multiple notebooks in one notebook concurrent. But the caller notebooks are getting executing one by one whereas I need to run all the caller notebooks concurrently. I have also tried using Threading in Scala Databri...
Hi @Sonali Bhatt​ , This documentation might help you :-https://databricks.com/blog/2016/08/30/notebook-workflows-the-easiest-way-to-implement-apache-spark-pipelines.html
Do we have option to query delta table using Standard Workspace as a endpoint instead of JDBC
@somanath Sankaran​ - Would you be happy to mark @Hubert Dudek​'s answer as best if it resolved the problem? That helps other members who are searching for answers find the solution more quickly.
I have complex json file which has massive struct column. We regularly have issues when we try to parse this json file by forming our case class to extract the fields from schema. With this approach the issue we are facing is that if one data type of...
Hey there, @Matt M​ - If @Hubert Dudek​'s response solved the issue, would you be happy to mark his answer as best? It helps other members find the solution more quickly.
def upsertToDelta(microBatchOutputDF, batchId): microBatchOutputDF.createOrReplaceTempView("updates") microBatchOutputDF._jdf.sparkSession().sql(""" MERGE INTO old o USING updates u ON u.id = o.id WHEN MATCHED THEN UPDATE SE...
Delta table/file version is too old. Please try to upgrade it as described here https://docs.microsoft.com/en-us/azure/databricks/delta/versioning​
PyTorch uses shared memory to efficiently share tensors between its dataloader workers and its main process. However in a docker container the default size of the shared memory (a tmpfs file system mounted at /dev/shm) is 64MB, which is too small to ...
Also interested in increasing shared memory for use with ray
I have zip file on SFTP location. I want to copy that file from SFTP location and put it into Azure Data lake and want to unzip there using spark notebook. Please help me to solve this.
Hi @heta desai​ , Did our suggestions help you?
Hi DB Support,Can we use DB's Delta Lake as our Target DB? Here's our situation...We have hundreds of ETL jobs pulling from these Sources. (SAP, Siebel/Oracle, Cognos, Postgres) .Our ETL Process has all of the logic and our Target DB is an MPP syst...
Hi yes you can the best is to create sql endpoint in premium workspace and just write to delta lake as to sql. This is community forum not support. You can contact databricks via https://databricks.com/company/contact or via AWS, Azure if you have su...
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