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I'm trying to connect to NetSuite2.com using Pyspark from a Databricks Notebook utilizing a JDBC driver.I was successful in setting up my DBVisualizer connection by installing the JDBC Driver (JAR) and generating the password with the one-time hashin...
This is partly a question, partly a feature request: How do you guys handle streaming checkpoints in combination with unity catalog managed tables?It seems like the only way is to create a volume, and manually specify paths in it as streaming checkpo...
For Structured Streaming Applications, this would be a nice feature. Delta Live Tables manages checkpoints for you out of the box - you don't even have to reason about checkpoints at all, would recommend checking it out!
Hi, Are there any tools within Databricks for large volume data comparisons, I appreciate there's methods for dataframe comparisons for unit testing (assertDataFrameEqual) but it is my understanding these are for testing transformations on smallish...
Borrowed from LinkedIn, here is a SQL query you can use to compare two tables (or dataframes) with hash_src as ( select hash(*) as hash_val from my.source.table ), hash_tgt as ( select hash(*) as hash_val from my.target.table ) select sum(hash_val) ...
Everytime I run parallel job it always failed with this error: ConcurrentAppendException: Files were added to the root of the table by a concurrent update. Please try the operation again.I did a lot of reseaches also create liquid clustering table an...
See this chart for a description of how row-level concurrency works. With row-level concurrency, concurrent merge operations still cannot safely modify the same row. Without row-level concurrency, concurrenty merge operations cannot safely modify the...
Hello,currently the doc says that async progress tracking is available only for Kafka sink:https://docs.databricks.com/en/structured-streaming/async-progress-checking.htmlI would like to know if it would work for any sink that is "exactly once"?I exp...
Asynchronous progress tracking is a feature designed for ultra low latency use cases. You can read more in the open source SPIP doc here, but the expected gain in time is in the hundreds of milliseconds, which seems insignificant when doing merge ope...
Hi All,I need one help even i have the cluster access and i can able to run it attaching with the notebook, still when im going in catalog to see the sample data im able to see an error, Here is the error,@ipriyanksingh , FYRCan anyone please help us...
Hi @Krishna2110, Based on the error are you using any token? Ensure that the access token is valid and has not expired. Is your workspace Unity Catalog enabled? and which are your cluster settings to browse through the data?
Hi,There is a set of .csv/.txt files in the storage container ie Azure Blob Storage/ Azure Storage Gen 2. I would like to ingest the files to Databricks. Dataset,LinkedServices was created on both ends. Also an all purpose cluster was created in Bric...
These errors occur when you are not authenticated / properly authorized to access the storage account. Ensure that you've set proper storage credential configurations, and that those credentials have proper access. Documentation here.
We have a daily job with a notebook that loops through all the databases and tables, and optimizes and vacuums them.Since in UC DLT tables are materialized views, the "optimize" or "vacuum" commands do not work on them, and they need to be excluded. ...
For this kind of table maintenance, Predictive Optimization is recommended. If looping over all tables in a metastore is required, it is recommended to instead use system.information_schema.tables as your source instead of calling spark.sql(). For th...
Hello community,I'm using DABs I want to know if It is possible to configure the yaml file a logic that allows me to run a workflow if the previous job run is finished of the same workflow. Is it possible to do it? Do I need to create a task that che...
Hello @jeremy98, Yes, it is possible to configure a YAML file to run a workflow only if the previous job run of the same workflow has finished. You can achieve this by defining dependencies between tasks within the workflow. You can specify task depe...
Hi team,I am trying to execute a workflow job which takes in a parameter as unique identifier. I am using this job parameter to push down to tasks. I was hoping if there is any way for me to use python uuid4() function to generate unique id every tim...
hi ctiwari7A possible way to do that, you create a python file which generates the uuid and then pass it to jobs.taskValues. This is described here: https://docs.databricks.com/en/jobs/task-values.html As test, I created a python file, with the follo...
This is the current code(ignore indentations) that I am using which takes the list of all the running jobs and then filters from the list to get the run id of the matching job name. I want to know if there is any better way to optimise this. Legacy d...
even the rest API also provides the job details based on the job id which I would need to get from the job_name that I have. This seems like the only possible solution since job_id is the true identifier of any workflow job considering we can have mu...
Hi!I am creating an Asset Bundle, which also includes my streaming Delta Live Table Pipelines. I want to move these DLT pipelines to the Asset Bundle, without having to run my DLT streaming Pipeline on all historical files (this takes a lot of comput...
When you change the path to the notebook or the name of the pipeline in your Delta Live Table (DLT) pipeline, it can indeed cause issues. Specifically, changing the path to the notebook or the name of the pipeline can lead to the recreation of the pi...
Hello team, as DataBricks moved away from hive-style partitioning, we can see some 2-letter partition folders created. And I have observed that the vacuum doesn't delete these folders (even though they are empty). Is there any way to delete those usi...
Hello @shadowinc, VACUUM is used to clean up unused and stale data files that are no longer referenced by a Delta table and are older than a specified retention period (default is 7 days). It does not remove empty directories. I think manual cleanup ...
Optimize -> VacuumorVacuum -> Optimize
What about ReOrg delta table https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-reorg-tableDoes it help or make sense to add Re-org then Optimize - Vacuum every week?Reorganize a Delta Lake table by rewriting files to purge ...
I have pdf files stored in azure adls.i want to parse pdf files in pyspark dataframeshow can i do that ?
Please look to the PDF DataSource for Apache Spark.This project provides a custom data source for the Apache Spark that allows you to read PDF files into the Spark DataFrame. And here notebook with example of usage.df = spark.read.format("pdf") \ ...
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