Databricks connection pool

Learn what Databricks pools are and how to use them.

Pool configuration reference | Databricks on AWS

A pool consists of both idle instances kept ready for new clusters and instances in use by running clusters. All of these instances are of the ...

Databricks connection pool(ing) using python

I have a python application which I need to connect with databricks (Databricks SQL Connector). The process for that is quite simple - 1. connect with dbr 2. ...

Connect to pools - Azure Databricks - Microsoft Learn

Learn what Databricks pools are and how to use them.

Pool configuration reference - Azure Databricks | Microsoft Learn

A pool consists of both idle instances kept ready for new clusters and instances in use by running clusters. All of these instances are of the ...

Pool best practices | Databricks on AWS

See Connect to serverless compute. In this article: Pool considerations; Create pools based on workloads; Using spot instance pools; Tag pools ...

CData JDBC Driver for Databricks - Connection Pooling

Configuring the Connection Pool · PoolMaxSize: Define the maximum number of connections that can be open at any given time. · PoolIdleTimeout: Set a limit to ...

Databericks JDBC driver connection pooling support

When using Camel JDBC with Databricks JDBC driver I get an error: Caused by: java.sql.SQLFeatureNotSupportedException: - 17557.

Connect to Databricks Data from a Connection Pool in Jetty

This article shows how to efficiently connect to Databricks data in Jetty by configuring the driver for connection pooling.

Pool configuration reference | Databricks on Google Cloud

A pool consists of both idle instances kept ready for new clusters and instances in use by running clusters. All of these instances are of the ...

Attach Databricks Pool to a Databricks Job cluster in Azure

Databricks Connect: can't connect to remote cluster on azure, command: 'databricks-connect test' stops · 1 · How to set apache spark config to ...

MLFlow connection pool warning - Databricks Community - 63730

I have a transformer model from Hugging Face I have logged to MLFlow. When I load in using mlflow.transformers.load_model I receive a bunch of warnings.

Connection pool for several clusters on databricks spark · Issue #1847

We are using databricks on azure and have several spark clusters. For each connection we are doing connection = dataSource.getConnection();.

Apache Spark job fails with a Connection pool shut down error

Databricks recommends that you set the maximum number of connections to a multiple of the total number of cores in your cluster. For example, if ...

Instance Pools API | REST API reference | Databricks on AWS

Databricks pools reduce cluster start and auto-scaling times by maintaining a set of idle, ready-to-use instances. When a cluster is attached to a pool, ...

databricks_instance_pool | Resources - Terraform Registry

Databricks tags all pool resources (e.g. AWS & Azure instances and Disk volumes). The tags of the instance pool will propagate to the clusters using the pool ( ...

Databricks Connection Properties - Informatica Documentation

Configure properties in the Databricks connection to enable communication between the Data Integration Service and the Databricks cluster. The following table ...

SDK Workspace client HTTP Connection Pool - Databricks Community

The issue you're facing with the HTTPSConnectionPool in the SDK WorkspaceClient when using it within a workflow may be related to the environment variables or ...

Unable to establish connection to Databrick or AWS Timestream or ...

Unable to connect to Databricks via JDBC with a Database Thing Following error is returned: Cannot get a connection, pool error Unable to ...

databricks-sql-connector - PyPI

The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses.