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Frequency of logs in stdout / stderr would be a function of what code you run on the databricks clusters .The default log level for log4j is INFO - you could change it following the instructions here
How do i connect DBSQL to other BI tools?
Generally, you can connect to SQL endpoint using a ODBC or JDBC driver. More information can be found here. https://docs.databricks.com/integrations/bi/index-sqla.html
When sizing, this is the recommendation. Data set Cluster SizeITB / rows X-Large+500GB / 1B rows X-LargeSOGB / IOOM+ rows LargeIOOGB / rows MediumIOGB / -M rows SmallThis table maps SQL endpoint cluster sizes to Databricks cluster driver sizes and wo...
Second question. Yes. Just don't grant CAN_RUN to a user/grouphttps://docs.databricks.com/sql/user/security/access-control/dashboard-acl.html#dashboard-permissions
I'd like to be able to limit the rows users see when querying tables in Databricks SQL based on what access level each user is supposed to be granted. Is this possible in the SQL environment?
Using dynamic views you can specify permissions down to the row or field level e.g. CREATE VIEW sales_redacted AS SELECT user_id, country, product, total FROM sales_raw WHERE CASE WHEN is_member('managers') THEN TRUE ELSE total <= 1...
I see the option to enable Photon when creating a new SQL Endpoint. The description says that enabling it helps speed up up queries, which sounds good, but are there any downsides I need to be aware of?
Generally, yes you should enable photon. The majority of functionality is available and will perform extremely well. There are some limitations with it that can be found here. Limitations: Works on Delta and Parquet tables only for both read and writ...
If I want to get more information about how an individual query is performing in the Databricks SQL environment, is there anywhere I can see that?
You could see details on different queries that ran against an endpoint under the query history section
Need to know if I can use job clusters to start and run streaming jobs or if it has to be interactive
Yes. Here is a doc containing some info on running Structured Streaming in production using Databricks jobs
How to troubleshoot SSL certificate errors while connecting Business Intelligence (BI) tools to Databricks in a Private Cloud (PVC) environment?
See attached for steps to inspect the certificate chain using openssl
While trying to read 100GB of csv.gz file from Spark which is taking forever to read, what are best options to read this file faster?
Part of the problem here is that .gz files are not splittable. If you have 1 huge 100GB .gz file, it can only be processed by one task. Can you change your input to use a splittable compression like .bz2? it'll work much better.
No. If you use %pip or %conda to attach a library, then it will only affect the execution of the notebook. A separate virtualenv is created for each notebook and its dependencies, even on a shared cluster.If you create a Library in the workspace and ...
Not need, we can query tables that are created on CSV and Parquet as well
SQL Workbench is not able to connect to Cluster using JDBC/ODBC connection. Getting the following error. I used the configuration provided by the cluster (jdbc:spark://<host>.cloud.databricks.com:443/default;transportMode=http;ssl=1;httpPath=sql/prot...
As we are getting 401 error that means an authentication issue. We should use Personal access token for password.The username should be "token" and the password should be PAT token.
I have an issue to install and use kneed python libary. https://pypi.org/project/kneed/I can install it and check it from log.[Install command]%shpip install kneed[log]Installing collected packages: kneedSuccessfully installed kneed-0.7.0but when I c...
The kneed library has a dependency and we need to install them as well in order to work:numpy==1.18scipy==1.1.0scikit-learn==0.21.3Once we install the above libraries using GUI, we can run the below command to check the installed library with the cor...
while using the sqlalchemy, unable to connect with sql server from databricks:user='user@host.mysql.database.azure.com' password='P@test' host="host.mysql.database.azure.com" database = "db" connect_args={'ssl':{'fake_flag_to_enable_tls': True}} conn...
We can use urllib.parse to handle special characters. Here is an example:import urllib.parse user='user@host.mysql.database.azure.com' password=urllib.parse.quote_plus("P@test") host="host.mysql.database.azure.com" database = "db" connect_args={'...
