Can I create a Delta Lake table on Databricks and query it with open-source Spark?Yes, in order to do this, you would install Open Source Spark and Delta Lake, both are open source. Delta Engine, which is only available on Databricks, will make delta...
Data scientist Job Profile will be relevant in the future?By seeing current features in Databricks like AUTO ML, I am assuming that should the Data scientist job will be mostly automated and sooner the data scientist in the company will start decl...
Spark 3.0 Pandas UDF Old vs New Pandas UDF interfaceThis slide shows the difference between the old and the new interface. The same here. The new interface can also be used for the existing Grouped Aggregate Pandas UDFs. In addition, the old Pandas U...
Cluster Sizees on DB sql Cluster size Driver size Worker count 2X-Small i3.2xlarge 1 X-Small i3.2xlarge 2 Small i3.4xlarge 4 Medium i3.8xlarge 8 Large i3.8xlarge 16 X-Large i3.16xlarge 32 2X-Large i3.16xlarge...
Muti Cluster Load balancingMulti-cluster Load Balancing: the minimum and maximum number of clusters over which queries sent to the endpoint are distributed. The default is Off with a maximum of 1 cluster. When set to On, the default is minimum 1 clus...
I read this article in the docs about isolation levels, but I am not sure if I should be specifying this for my Delta tables. What situation would I want to change the isolation level from the default?
I would like to make it so users can only create job clusters and not interactive clusters. Is it possible to do this in a workspace?
This can be accomplished with cluster policies. You can use a policy similar to this example to restrict certain users or groups to only have permission to create job clusters.
I would like to know the difference between .mode("append") and .mode("overwrite") when writing my Delta table
Mode "append" atomically adds new data to an existing Delta table and "overwrite" atomically replaces all of the data in a table.
I would like to know where can I find the current schema information from my Delta table.
The table name, path, database info are stored in Hive metastore, the actual schema is stored in the "_delta_log" directory that should be in the root path location where you Delta table is stored.
is there a way to read a specific part off a delta table? When I try to read the parquet file as parquet I get an error in the notebook that I’m using the incorrect format as it’s part of a delta table. I just want to read a single Parquet file, not ...
Disable Delta format to read as Parquet you need to set to false the following Spark settings:>> SET spark.databricks.delta.formatCheck.enabled=false OR>> spark.conf.set("spark.databricks.delta.formatCheck.enabled", "false")its not recommended to re...
I would like to know if it recommended to run Analyze table on Delta tables or not. If not, why?
You can run ANALYZE TABLE on Delta tables only on Databricks Runtime 8.3 and above. For more details please refer to the docs: https://docs.databricks.com/spark/latest/spark-sql/language-manual/sql-ref-syntax-aux-analyze-table.html
We are trying to download our repository which is hosted on GitHub Enterprise to use its python libraries in our notebooks.Earlier we had issues with downloading our repository using the repos feature in Databricks platform since only notebooks can b...
To fix the issue, we need to pass the token in the header itself git clone https://<token>:x-oauth-basic@github.com/owner/repo.gitExample:%sh git clone https://<token>@github.com/darshanbargal4747/databricks.git
while connecting from notebook, it returns the error unable to resolve name.
Since we are unable to resolve hostname, it point towards the DNS issue. We can use custom dns using init script and add in the cluster:%scala dbutils.fs.put("/databricks/<directory>/dns-masq.sh";,""" #!/bin/bash #####################################...
How can I verify if auto-optimize is activated from Delta history for the two scenarios below? Will the DESC history show the details in both the cases? 1). Auto-optimize set on the table properties2). Auto-optimize enabled in spark sessionP.S. - I'm...
we have automated out deployment with python API's however we have been caught in a situation which we cannot yet solve.We are looking to collect a token during the first deployment within the environment. currently our API requires a token.Is there...
We can use below API to create a token and use the username and passwordcurl -X POST -u "admin_email":"xxxx" https://host/api/2.0/token/create -d' { "lifetime_seconds": 100, "comment": "this is an example token" }'
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