- 5468 Views
- 9 replies
- 1 kudos
Resolved! Init Script Failing
I am getting an error when I try to run the cluster scoped init script. The script itself is as follows:#!/bin/bashsudo apt update && sudo apt upgrade -ysudo apt install libreoffice-common libreoffice-java-common libreoffice-writer openjdk-8-jre-head...
- 5468 Views
- 9 replies
- 1 kudos
- 1 kudos
Hi @semsim , @jacovangelder ,I added the code you mentioned at the beginning of the script, but I still got errors. #!/bin/bash sudo rm -r /var/lib/apt/lists/* sudo apt clean && sudo apt update --fix-missing -y if ! [[ "18.04 20.04 22.04 23.04 24.04...
- 1 kudos
- 3474 Views
- 6 replies
- 1 kudos
Adding Member to group using account databricks rest api
Hi All,I want to add a member to a group in databricks account level using rest api (https://docs.databricks.com/api/azure/account/accountgroups/patch) as mentioned in this link I could able to authenticate but not able to add member while using belo...
- 3474 Views
- 6 replies
- 1 kudos
- 1 kudos
Does the above work? I still can't quite figure it out. Any help would be much appreciated.I know authentication is not an issue as I can use a lot of the other endpoints. I just can't figure out the correct body syntax to add a member to a group.url...
- 1 kudos
- 623 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.
- 623 Views
- 2 replies
- 0 kudos
- 0 kudos
Structured Streaming is one of the options, spark.readStream.format("delta")
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- 7824 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...
- 7824 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
- 1221 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...
- 1221 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
- 999 Views
- 2 replies
- 0 kudos
Trouble Accessing Trust Store for Oracle JDBC Connection on Shared Compute Cluster
HiI am trying to read data from an Oracle DB using the Oracle JDBC Driver:df = (spark.read.format("jdbc").option("url", "jdbc:oracle:thin:@(DESCRIPTION=(ADDRESS=(PROTOCOL=TCPS)(PORT=xxx)(HOST=xxx))(CONNECT_DATA=(SID=xxx)))").option("dbTable", "schema...
- 999 Views
- 2 replies
- 0 kudos
- 0 kudos
The trust store file needs to be accessible from all nodes in the shared compute cluster. You can achieve this by storing the trust store file in a location that is accessible to all nodes, such as a mounted volume or a distributed file system. Here'...
- 0 kudos
- 874 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...
- 874 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
- 989 Views
- 1 replies
- 1 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 ...
- 989 Views
- 1 replies
- 1 kudos
- 1 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...
- 1 kudos
- 524 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...
- 524 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
- 2313 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...
- 2313 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
- 1362 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...
- 1362 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
- 2962 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"...
- 2962 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
- 606 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
- 606 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
- 4069 Views
- 3 replies
- 1 kudos
What are the options for "spark_conf.spark.databricks.cluster.profile"?
Hey guys, I'm trying to find what are the options we can pass to spark_conf.spark.databricks.cluster.profileI know looking around that some of the available configs are singleNode and serverless, but there are others?Where is the documentation of it?...
- 4069 Views
- 3 replies
- 1 kudos
- 1081 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. ...
- 1081 Views
- 5 replies
- 0 kudos