Databricks Community

Thanks for your help. It helped me a lot.

Correct A Temp View is scoped to the SparkSession and dropped when that session closes.  Each notebook runs in its own SparkSession.  The Global Temp View is scoped to the cluster and dropped when the cluster re-starts or you drop it. ---------------...

Hi @Kishorekumar Somasundaram​ Great to meet you, and thanks for your question! Let's see if your peers in the community have an answer to your question. Thanks.

Please find the below steps to remove _SUCCESS, _committed and _started files.spark.conf.set("spark.databricks.io.directoryCommit.createSuccessFile","false") to remove success file.run vacuum command multiple times until _committed and _started files...

Please share your code and some example of data.

Hi @Kaniz Fatma​ Her answer didn't solve my problem but it was useful to learn more about UDFS, which I did not know.

Notebooks really aren't the best method of viewing large files. Two methods you could employ areSave the file to dbfs and then use databricks CLI to download the fileUse the web terminalIn the web terminal option you can do something like "cat my_lar...

Spark 3 has experimental support for ANSI. Read more here:https://spark.apache.org/docs/3.0.0/sql-ref-ansi-compliance.html

The correct syntax would be: SELECT 'Goal' AS Type, Value FROM table

As indicated there are ways to manage the amount of data being sampled for inferring schema. However as a best practice for production workloads its always best to define the schema explicitly for consistency, repeatability and robustness of the pipe...