Hi!My team is currently trying out Delta Live Tables (DLT) for managing our ETL pipelines. An issue we're encountering is that we have notebooks that transform data using Spark SQL. We include these in a DLT pipeline, and we want to both run the pipe...
Is there way to get auto incremented value for next version parameter like next version = previous version + 1 in that case how to get the previous version value.Below code is from documentation "Historical snapshot processing". The APPLY CHANGES API...
Hi Everyone, I'm currently developing an application in which I read json files with nested structure. I developed my code locally on my laptop using the opensource version of pyspark (3.5.1) using a similar code to this:sample_schema:schema = Struct...
Hi, I'd like to try the scenario and find a solution. Would you mind sharing a sample file?
Hey,I have the following problem when trying to add row level security to some of our Materialized views. According to the documentation this feature is still in preview - nevertheless, I try to understand why this doesnt work and how it would be sup...
Hello @Splush, There are 2 ways to create materialized views at the current moment:1. Through Databricks SQL: Use Materialized Views in Databricks SQL. These are the limitations. 2. Through DLT: Materialized View (DLT). All DLT tables are subject to ...
I am using Autoloader with Schema Inference to automatically load some data into S3.I have one column that is a Map which is overwhelming Autoloader (it tries to infer it as struct -> creating a struct with all keys as properties), so I just use a sc...
Sorry, I didn't mean that your solution is poorly designed. I was only referring to the one of the main definitions of your bronze layer: You want to have a defined and optimized data layout, which is source-driven at the same time. In other words: ...
In the official documentation for supported data types, Varchar is not listed. But in the product, we are allowed to create a field of varchar data type. We are building an integration with Databricks and we are confused if we should support operatio...
Hi @phanindra ,To be precise, Delta Lake format is based on parquet files. For strings, Parquet only has one data type: StringTypeSo, basically varchar(n) data type under the hood is represented as string with check constraint on the length of the st...
"The Big Book of Generative AI from Databricks"https://lnkd.in/dR4VuEyQprovides a comprehensive guide to understanding and implementing Generative AI (GenAI) effectively within an enterprise. Here are some critical questions that businesses should co...
Hi,I have spark job which is processing large data set, its taking too long to process the data. In Spark UI, I can see its running 1 tasks out of 9 tasks. Not sure how to run this in parellel. I have already mentioned auto scaling and providing upto...
Will it be any different if using Spark but within Azure, i.e. faster?
Expected no of lines is - 16400 Showing only 20 No of records Script spark.conf.set( "REDACTED", "REDACTED" ) # File location file_location = "REDACTED" # Read in the data to dataframe df df = spark.read.format("CSV").option("inferSchema",...
hi, pls look help mespark.conf.set( "REDACTED", "REDACTED")# File locationfile_location = "REDACTED"# Read in the data to dataframe dfdf = spark.read.format("CSV").option("inferSchema", "true").option("header", "true").option("delimiter", ",")...
Hi, I created a workbook for academic purposes and had completed it... from one moment to the next all the plot cells of charts (and only those) started returning the following error and I really don't know how to solve it by today.Failed to store th...
There is a column (src_json) in emp_table . I need to replace (ages to age )in each json in the src_json column in emp_table.Can you pls suggest the best way to do it .
Hi @Bhabs ,You can do it in following way (assuming that src_json contains json string):from pyspark.sql import SparkSession from pyspark.sql.functions import col, expr spark = SparkSession.builder.appName("Replace JSON Keys").getOrCreate() data = ...
I’m encountering issues setting up Databricks AutoLoader in File Notification mode. The error seems to be related to UC access to the S3 bucket. I have tried running it on a single-node dedicated cluster but no luck.Any guidance or assistance on reso...
Thanks @Retired_mod. I have reviewed all the steps mentioned, including the IAM policy, as per the setup guide. I believe the permissions granted are sufficient for the setup.To validate the permissions, I used IAM credentials with Admin privileges i...
We have databricks on GCP. Streamings are running 24/7, storage credentials and external location are created as we are using managed unity catalog. We get random error, somewhere are around mid night (UTC). Here is trace of Error,ERROR MicroBatchExe...
While ingesting data from Oracle to databricks(writing into ADLS) using jdbc I am getting connection reset by peer error when ingesting a large table which has millions of rows.I am using oracle sql developer and azure databricks.I tried every way li...
Try using this code .import pyspark from pyspark.sql import SparkSession # Initialize Spark session spark = SparkSession.builder.appName("OracleToDatabricks").getOrCreate() # Oracle connection properties conn = "jdbc:oracle:thin:@//<host>:<port>/<s...
Recent changes to the worskpace UI (and introduction of Unity Catalog) seem to have discretely sunset the ability to upload data directly to DBFS from the local Filesystem using the UI (NOT the CLI)I want to be able to load a raw file (no matter the ...
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