I am trying to convert SAS files to CSV in Azure Databricks. SAS files are in Azure Blob. I am successfully able to mount the azure blob in Databricks, but when I read from it, it has no files even though there are files on Blob. Has anyone done this...
The open source spark connector for Snowflake is available by default in the Databricks runtime. To connect you can use the following code: # Use secrets DBUtil to get Snowflake credentials. user = dbutils.secrets.get("<scope>", "<secret key>") passw...
I Have a Dataframe stored in the format of delta into Adls, now when im trying to append new updated rows to that delta lake it should, Is there any way where i can delete the old existing record in delta and add the new updated Record.There is a uni...
To achieve this you should use a merge command that will update rows that are existing with the unique ID. This will update the rows that already exist and insert the rows that do not. If you want to do it manually, you could delete rows using the DE...
am trying to do this tutorial about databricks sql analytics (https://docs.microsoft.com/en-us/azure/databricks/sql/get-started/admin-quickstart) but when i create my databricks workspace i do not have the icon at the bottom of the sidebar to access ...
I need to know if there is a way to delete a user from databricks using email only using SCIM api? As of now I can see it can only delete user by ID which means I need to first retrive the ID of the user and then use it to delete.I am using this api ...
I am looking at the memory utilization of the executors and I see the heap utilization of the executor is far less than what is reported in the Ganglia. Why do ganglia report incorrect memory details.
Ganglia reports the memory utilization at the system level. Say for example if the JVM has Xmx value of 100 GB. At some point, it will occupy 100GB and then with a Garbage collection, it will clear off the heap. Once the GC frees up the memory, th...
I am trying to access logs from my Databricks notebook which is run as a job. I would like to see these logs in an azure storage account.
I work with parquet files stored in AWS S3 buckets. They are multiple TB in size and partitioned by a numeric column containing integer values between 1 and 200, call it my_partition. I read in and perform compute actions on this data in Databricks w...
I have ad-hoc one-time streaming queries where I believe checkpoint won't give any value add. Should I still use checkpointing
It's not mandatory. But the strong recommendation is to use Checkpointing for Streaming irrespective of your use case. This is because the default checkpoint location can get a lot of files over time as there is no graceful guaranteed cleaning in pla...
Its preferable to use spark streaming (with Delta) for batch workloads rather then regular batch. With the trigger.once trigger whenever the streaming job is started it will process whatever is available in the source (kafka/kinesis/File System) and ...
The streaming checkpoint mechanism is independent of the Trigger type. The way checkpoint works are it creates an offset file when processing the batch and once the batch is completed it creates a commit file for that batch in the checkpoint director...
I have an S3-SQS workload. Is it possible to migrate the workload to autoloader without downtime? What are the migration guidelines.
The SQS queue used by the existing application can be utilized by the auto-loader thereby ensuring minimal downtime
The issue can happen if the Hive syntax for table creation is used instead of the Spark syntax. Read more here: https://docs.databricks.com/spark/latest/spark-sql/language-manual/sql-ref-syntax-ddl-create-table-hiveformat.htmlThe issue mentioned in t...
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