- 4083 Views
- 1 replies
- 1 kudos
Resolved! How To Save a File as a Pickle Object to the Databricks File System
I tried running this code:```def save_file(name, obj with open(name, 'wb') as pickle.dump(obj, f)``` One file was saved in the local file system, but the second was too large and so I need to save in the dbfs file system. Unfortunately, I d...
- 4083 Views
- 1 replies
- 1 kudos
- 1 kudos
To save a Python object to the Databricks File System (DBFS), you can use the dbutils.fs module to write files to DBFS. Since you are dealing with a Python object and not a DataFrame, you can use the pickle module to serialize the object and then wri...
- 1 kudos
- 10391 Views
- 9 replies
- 2 kudos
Asset bundle doesn't sync files to workspace
I've created a completely fresh project with a completely empty workspaceLocally I have the databricks CLI version 0.230.0 installedI rundatabricks bundle init default-pythonI have auth set up with a PAT generated by an account which has workspace ad...
- 10391 Views
- 9 replies
- 2 kudos
- 2 kudos
Ok, I feel silly. Despite reading the other messages in this thread, I didn't twig to the fact that I had in fact added the subfolder I had created the DAB in to my top-level project .gitignore since I was just playing around and didn't want to comm...
- 2 kudos
- 4618 Views
- 4 replies
- 0 kudos
Reading excel file using pandas on spark api not rendering #N/A values correctly
I am trying to read a .xlsx file using ps.read_excel() and having #N/A as a value for string type columns. But in the dataframe, i am getting "null" inplace of #N/A . Is there any option , using which we can read #N/A as a string in .xlsx file
- 4618 Views
- 4 replies
- 0 kudos
- 0 kudos
Did you get a solution or workaround for this error, as I am also facing the same even after using dtype = str, na_filter= False, keep_default_na = False ?
- 0 kudos
- 22991 Views
- 18 replies
- 10 kudos
Using init scripts on UC enabled shared access mode clusters
I know that UC enabled shared access mode clusters do not allow init script usage and I have tried multiple workarounds to use the required init script in the cluster(pyodbc-install.sh, in my case) including installing the pyodbc package as a workspa...
- 22991 Views
- 18 replies
- 10 kudos
- 10 kudos
Hello all,Below workaround was efficient to me1) pyodbc-install.sh is uploaded in a Volume 2) the shared cluster is able to navigate to the Volume to select the init script3) the Databricks runtime is 15.4 LTS4) the Allowlist has been updated to allo...
- 10 kudos
- 7420 Views
- 8 replies
- 0 kudos
UC, pyodbc, Shared Cluster, and :Can't open lib 'ODBC Driver 17 for SQL Server' : file not found
Hey Databricks! Trying to use the pyodbc init script in a Volume in UC on a shared compute cluster but receive error: "[01000] [unixODBC][Driver Manager]Can't open lib 'ODBC Driver 17 for SQL Server' : file not found (0) (SQLDriverConnect)"). I fo...
- 7420 Views
- 8 replies
- 0 kudos
- 0 kudos
Hello all,Below workaround was efficient to me1) pyodbc-install.sh is uploaded in a Volume 2) the shared cluster is able to navigate to the Volume to select the init script3) the Databricks runtime is 15.4 LTS4) the Allowlist has been updated to allo...
- 0 kudos
- 4442 Views
- 2 replies
- 0 kudos
Get failed records from Salesforce write target tool in AWS GLUE job
I am working in the AWS GLUE service, where we are trying to migrate data from S3 to salesforce using Salesforce write target tool(Using Salesforce connection). The actual process has to be, once the process is done, the salesforce provides the jobId...
- 4442 Views
- 2 replies
- 0 kudos
- 10524 Views
- 1 replies
- 1 kudos
Ingesting complex/unstructured data
Hi there,my company is reasonably new to using Databricks, and we're running our first PoCs. Some of the data we have structured/reasonably structured, so it drops into a bucket, we point a notebook at it, and all is well and DeltaThe problem is ari...
- 10524 Views
- 1 replies
- 1 kudos
- 1 kudos
Hi Toby,Managing diverse, unstructured data can be challenging. At Know2Ledge (ShareArchiver), we specialize in unstructured data management to streamline this process.To handle your scenario efficiently:1️⃣Pre-Process Before Ingestion – Use AI-power...
- 1 kudos
- 2884 Views
- 2 replies
- 0 kudos
Community Edition? More Like Community Abandonment - Thanks for NOTHING, Databricks!
To the Databricks Team (or whoever is pretending to care),Let me get this straight. You offer a "Community Edition" to supposedly help people learn, right? Well, congratulations, you've created the most frustrating, useless signup process I've ever s...
- 2884 Views
- 2 replies
- 0 kudos
- 0 kudos
Hello @sachin_kanchan! I understand the frustration, and I appreciate you sharing your experience. The Community Edition is meant to provide a smooth experience, and this shouldn’t be happening. We usually ask users to drop an email to help@databrick...
- 0 kudos
- 5323 Views
- 1 replies
- 1 kudos
Resolved! Access ADLS with serverless. CONFIG_NOT_AVAILABLE error
I have my own Autoloader repo and this repo is responsible for ingestion data from landing layer(ADLS) and load data into raw layer in Databricks. In that repo, I created a couple of workflows, and run these workflows with serverless cluster. and I u...
- 5323 Views
- 1 replies
- 1 kudos
- 1 kudos
The recommended approach for accessing cloud storage is to create Databricks storage credentials. These storage credentials can refer to entra service principals, managed identities, etc. After a credential is created, create an external location. Wh...
- 1 kudos
- 2086 Views
- 2 replies
- 1 kudos
How to make the write operation faster for writing a spark dataframe to a delta table
So, I am doing 4 spatial join operation on the files with the following sizes:Base_road_file which is 1gigabyteTelematics file which is 1.2 gigsstate boundary file , BH road file, client_geofence file and kpmg_geofence_file which are not too large My...
- 2086 Views
- 2 replies
- 1 kudos
- 1 kudos
We recommend using spatial frameworks to speed up things like spatial joins, point-in-polygon, etc, like databricks mosaic or apache sedona. Without these frameworks, many of these operations result in unoptimized and explosive crossjoins.
- 1 kudos
- 1824 Views
- 2 replies
- 1 kudos
Resolved! Autoloader streaming table - how to determine if new rows were updated from query?
If I'm running a scheduled batch Autoloader query which read from csv files on S3 and incrementally loads a delta table, how can I determine if new rows were added? I'm currently trying to do this from the streaming query.lastProgress as follows. s...
- 1824 Views
- 2 replies
- 1 kudos
- 5685 Views
- 2 replies
- 0 kudos
- 5685 Views
- 2 replies
- 0 kudos
- 0 kudos
Here's the difference a View and Table in the context of a Delta Live Table PIpelineViews are similar to a temporary view in SQL and are an alias for some computation. A view allows you to break a complicated query into smaller or easier-to-understan...
- 0 kudos
- 890 Views
- 1 replies
- 0 kudos
Resolved! Using initcap function in materialized view fails
This query works: select order_date, initcap(customer_name), count(*) AS number_of_ordersfrom ... The initcap does as advertised and capitalizes the customer_name column. However, if I wrap the same exact select in a create materialized view I get an...
- 890 Views
- 1 replies
- 0 kudos
- 0 kudos
NOTE: I got it to work by aliasing the customer_name column, it's documented here: https://docs.databricks.com/aws/en/sql/language-manual/sql-ref-syntax-ddl-create-materialized-view#limitationsHowever, it wasn't clear that "Non-column reference expre...
- 0 kudos
- 3575 Views
- 3 replies
- 0 kudos
Re-use jobs as tasks with the same cluster.
Hello,I am facing an issue with my workflow.I have a job (name it main job) that, among others, runs 5 concurrent tasks, which are defined as jobs (not notebooks).Each of these jobs is identical to the others (name them sub-job-1), with the only diff...
- 3575 Views
- 3 replies
- 0 kudos
- 5793 Views
- 3 replies
- 13 kudos
Using foreachBatch within Delta Live Tables framework
Hey there!I was wondering if there's any way of declaring a delta live table where we use foreachBatch to process the output of a streaming query.Here's a simplification of my code:def join_data(df_1, df_2): df_joined = ( df_1 ...
- 5793 Views
- 3 replies
- 13 kudos
- 13 kudos
foreachBatch support in DLT is coming soon, and you now have the ability to write to non-DLT sinks as well
- 13 kudos
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