- 1738 Views
- 2 replies
- 0 kudos
Streaming or Batch Processing
How to decide whether to go for Streaming or Batch processing when the upstream is DELTA table?Please share suggestions to optimize the load timings.
- 1738 Views
- 2 replies
- 0 kudos
- 0 kudos
Structured Streaming is one of the options, spark.readStream.format("delta")
- 0 kudos
- 11174 Views
- 4 replies
- 1 kudos
Delta live tables for large number of tables
Hi There I am hoping for some guidance I have some 850 tables that I need to ingest using a DLT Pipeline. When I do this my event log shows that driver node dies becomes unresponsive likely due to GC.Can DLT be used to ingest large number of tablesI...
- 11174 Views
- 4 replies
- 1 kudos
- 1 kudos
Delta Live Tables (DLT) can indeed be used to ingest a large number of tables. However, if you're experiencing issues with the driver node becoming unresponsive due to garbage collection (GC), it might be a sign that the resources allocated to the dr...
- 1 kudos
- 4539 Views
- 6 replies
- 1 kudos
How to create SQL Functions using Pysparkin local machine
I am trying to create spark SQL function in particular schema (i.e) spark.sql(" CREATE OR REPLACE FUNCTION <spark_catalog>.<schema_name>.<function_name()> RETURNS STRING RETURN <value>")This works perfectly fine on Databricks using notebooks.But, I n...
- 4539 Views
- 6 replies
- 1 kudos
- 1 kudos
Hi @badari_narayan ,In general you may run pyspark project locally, but with limitations.Create virtual environmentInstall pyspark in your virtual environment (the same version you have on your cluster)Since spark version 2.x you even do not need to ...
- 1 kudos
- 2333 Views
- 1 replies
- 0 kudos
Table lineage visibility in Databricks
I’ve observed differences in table lineage visibility in Databricks based on how data is referenced, and I would like to confirm if this is the expected behavior.1. When referencing a Delta table as the source in a query (e.g., df = spark.table("cata...
- 2333 Views
- 1 replies
- 0 kudos
- 0 kudos
Hi @sms101,How are you doing today?As per my understanding, It is correct that lineage tracking in Databricks works primarily at the table level, meaning when you reference a Delta table directly, the lineage is properly captured. However, when you u...
- 0 kudos
- 2090 Views
- 1 replies
- 2 kudos
Python library not installed when compute is resized
Hi,I have a python notebook workflow that uses a job cluster. The cluster lost at least a node (due to Spot Instance Termination) and did an upsize. After that I got an error in my job "Module not found", but the python module was being used before ...
- 2090 Views
- 1 replies
- 2 kudos
- 2 kudos
Hi @Bilel,How are you doing today?As per my understanding, Consider installing the library at the cluster level to ensure it's automatically applied across all nodes when a new one is added. You could also try using init scripts to guarantee the requ...
- 2 kudos
- 1344 Views
- 1 replies
- 0 kudos
Question about stateful processing
I'm experiencing an issue that I don't understand. I am using Python's arbitrary stateful processing with structured streaming to calculate metrics for each item/ID. A timeout is set, after which I clear the state for that item/ID and display each ID...
- 1344 Views
- 1 replies
- 0 kudos
- 0 kudos
Hi @fperry,How are you doing today?As per my understanding, Consider checking for any differences in how the stateful streaming function is writing and persisting data. It's possible that while the state is cleared after the timeout, some state might...
- 0 kudos
- 4893 Views
- 3 replies
- 1 kudos
Clearing data stored by pipelines
Hi everyone! I'm new to Databricks and moving my first steps with Delta Live Tables, so please forgive my inexperience. I'm building my first DLT pipeline and there's something that I can't really grasp: how to clear all the objects generated or upda...
- 4893 Views
- 3 replies
- 1 kudos
- 1 kudos
To clear all objects generated or updated by the DLT pipeline, you can drop the tables manually using the DROP command as you've mentioned. However, to get a completely clean slate, including metadata like the tracking of already processed files in t...
- 1 kudos
- 6527 Views
- 3 replies
- 2 kudos
Resolved! Delta Live Tables - CDC - Batching - Delta Tables
Hey Folks, I'm trying to implement CDC - Apply changes from one delta table to another. Source is a delta table named table_latest and target is another delta table named table_old. Both are delta tables in databricks. Im trying to cascade the incre...
- 6527 Views
- 3 replies
- 2 kudos
- 2 kudos
Hi @aniruth1000 ,When using delta live table pipelines, only the source table can be the delta table.The target table must be fully managed by the DLT pipeline, including its creation and lifecycle.Let's say that you modified the code as suggested by...
- 2 kudos
- 5841 Views
- 4 replies
- 1 kudos
i am reading a 130gb csv file with multi line true it is taking 4 hours just to read
reading 130gb file without multi line true it is 6 minutes my file has data in multi liner .How to speed up the reading time here .. i am using below commandInputDF=spark.read.option("delimiter","^").option("header",false).option("encoding","UTF-8"...
- 5841 Views
- 4 replies
- 1 kudos
- 1 kudos
Hi @vishwanath_1 , Can you try setting the below config if this resolves the issue? set spark.databricks.sql.csv.edgeParserSplittable=true;
- 1 kudos
- 2182 Views
- 4 replies
- 0 kudos
copy files from azure file share to s3 bucket
kindly help us with code to upload a text/csv file from Azure file share to s3 bucket
- 2182 Views
- 4 replies
- 0 kudos
- 0 kudos
Did you try using azcopy? https://learn.microsoft.com/en-us/azure/storage/common/storage-use-azcopy-v10?tabs=dnf
- 0 kudos
- 3317 Views
- 5 replies
- 0 kudos
Large/complex Incremental Autoloader Job -- Seeking Experience on approach
I'm experimenting with several approaches to implement an incremental autoloader query either in DLT or in a pipeline job. The complexities:- Moving approximately 30B records from a nasty set of nested folders on S3 in several thousand csv files. ...
- 3317 Views
- 5 replies
- 0 kudos
- 970 Views
- 1 replies
- 0 kudos
Using GraphFrames on DLT job
I am trying to run a DLT job that uses GraphFrames, which is in the ML standard image. I am using it successfully in my job compute instances. Here are my overrides for the standard job compute policy: {"spark_version": {"type": "unlimited","defau...
- 970 Views
- 1 replies
- 0 kudos
- 0 kudos
Crickets ....
- 0 kudos
- 1778 Views
- 2 replies
- 2 kudos
GraphFrames and DLT
I am trying to run a DLT job that uses GraphFrames, which is in the ML standard image. I am using it successfully in my job compute instances but I'm running into problems trying to use it in a DLT job. Here are my overrides for the standard job c...
- 1778 Views
- 2 replies
- 2 kudos
- 14940 Views
- 6 replies
- 3 kudos
Delta Live Tables Incremental Batch Loads & Failure Recovery
Hello Databricks community,I'm working on a pipeline and would like to implement a common use case using Delta Live Tables. The pipeline should include the following steps:Incrementally load data from Table A as a batch.If the pipeline has previously...
- 14940 Views
- 6 replies
- 3 kudos
- 3 kudos
I totally agree that this is a gap in the Databricks solution. This gap exists between a static read and real time streaming. My problem (and suspect there are many use cases) is that I have slowly changing data coming into structured folders via ...
- 3 kudos
- 4828 Views
- 2 replies
- 1 kudos
Path of artifacts not found error in pyfunc.load_model using pyfunc wrapper
Hi,For a PySpark model, which involves also a pipeline, and that I want to register with mlflow, I am using a pyfunc wrapper.Steps I followed:1. Pipeline and model serialization and logging (using Volume locally, the logging will be performed in dbfs...
- 4828 Views
- 2 replies
- 1 kudos
- 1 kudos
Stuck with the same issue however I managed to load it ( was looking to serve it using model serving as well ),One thing I noticed is that we can use mlflow.create_experiment() in the beginning and specify the default artifact location parameter as D...
- 1 kudos
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