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  1. Nov 11, 2021 · Even though secrets are for masking confidential information, I need to see the value of the secret for using it outside Databricks.

  2. Feb 28, 2024 · Easiest is to use databricks cli's libraries command for an existing cluster (or create job command and specify appropriate params for your job cluster) Can use the REST API itself, same links as above, using CURL or something. Could also use terraform to do this if you want a full CI/CD automation.

  3. Dec 11, 2019 · Databricks Runtime 14.1 and higher now properly supports variables.-- DBR 14.1+ DECLARE VARIABLE dataSourceStr STRING = "foobar"; SELECT * FROM hive_metastore.mySchema.myTable WHERE dataSource = dataSourceStr; -- Returns where dataSource column is 'foobar'

  4. The requirement asks that the Azure Databricks is to be connected to a C# application to be able to run queries and get the result all from the C# application. The way we are currently tackling the problem is that we have created a workspace on Databricks with a number of queries that need to be executed. We created a job that is linked to the ...

  5. Feb 11, 2021 · Another way is to go to Databricks console. Click compute icon Compute in the sidebar. Choose a cluster to connect to. Navigate to Advanced Options. Click on the JDBC/ODBC tab. Copy the connection details. More details here. answered Feb 15, 2022 at 10:54. Ofer Helman.

  6. Jun 4, 2022 · 2. If you are using PySpark in databricks, then another way to use python variable in a Spark SQL query is below: max_date = '2022-03-31'. df = spark.sql(f"""SELECT * FROM table2 WHERE Date = '{max_date}' """) Here 'f' at the beginning of the query refers to 'format' which will let you use the variable inside PySpark SQL statement.

  7. Sep 18, 2020 · An alternative implementation can be done with generators and yield operators. You have to use at least Python 3.3+ for yield from operator and check out this great post for a better understanding of yield operator:

  8. Nov 22, 2019 · Run databricks CLI commands to run job. View Spark Driver logs for output, confirming that mount.err does not exist. databricks fs mkdirs dbfs:/minimal databricks fs cp job.py dbfs:/minimal/job.py --overwrite databricks jobs create --json-file job.json databricks jobs run-now --job-id <JOBID FROM LAST COMMAND>

  9. Jun 23, 2022 · I found the fastest way to identify the key vault that a scope points to is using Secret API. First, in the Databricks workspace, go to Settings → Developer → Manage Access tokens to generate a PAT. Then you can run a curl command in the terminal to retrieve the details of scopes: "scopes": [.

  10. Aug 30, 2020 · Are there metadata tables in Databricks/Spark (similar to the all_ or dba_ tables in Oracle or the information_schema in MySql)? Is there a way to do more specific queries about database objects in Databricks?

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